Interactions between work-related factors, perceived fatigue and musculoskeletal disorders among handicraft artisans: structural equation model analysis.

The cross-sectional study aimed to investigate the relationship between work-related factors, perceived work fatigue (PWF) and musculoskeletal disorders (MSDs) among handicraft artisans. 364 artisans participated in a questionnaire survey, and a structural equation model (SEM) was developed to explore the direct and indirect relationships between these factors using partial least squares analysis. The SEM explained 98.2% of the variance in MSDs and revealed that exposure to biomechanical factors had a direct impact on PWF and MSDs, with PWF mediating the effect of biomechanical factors on MSDs. Additionally, job demand was found to be positively associated with MSDs, while job control and social support reduced the risk of MSDs. The findings underscore the importance of strategic initiatives to mitigate the risk of developing MSDs among artisans. The study also highlights the potential of SEM as a novel framework for understanding the complex pathogenesis of MSDs in occupational health research.Practitioner summary: The study sought to comprehensively examine the intricate relationships among work-related factors, PWF, and MSDs. To achieve this, an SEM approach was employed to capture both direct and indirect relationships between these factors, employing partial least squares analysis. Findings revealed SEM as an innovative framework for understanding the intricate development of MSDs.

Risk factors associated with work-related musculoskeletal disorders among floor-sitting precision handicraft workers.

PURPOSE: Precision handicraft workers are often exposed to stressful postures and poor working conditions while performing different jobs, that are directly associated with the development of musculoskeletal disorders (MSDs). This cross-sectional study aimed at evaluating the prevalence of MSDs and contributing risk factors among male precision handicraft workers. METHODS: 334 handicraft workers involved in different precision activities: 125 gemstone cutters, 98 miniature painters, and 111 metal craft workers, were surveyed. Information about the prevalence of musculoskeletal symptoms and work-related factors was collected using the self-reported questionnaire and direct observation methods, viz. rapid upper limb assessment (RULA) and rapid entire body assessment (REBA). Chi-square test was performed to analyze the association of MSD symptoms between the handicraft occupations. Further, binary logistic regression was used to identify the potential risk factors for MSD symptoms among workers. RESULTS: In all occupational groups, most participants reported high prevalence of MSDs primarily in the neck (61.6%), lower back (74.8%), and knee (54.7%) regions. Results revealed that age, work experience, prolonged work hours, sustained awkward posture, continuous work without break, extensive work pressure, and poor job control increased the risk of MSD symptoms in different body regions, while with a higher level of education, MSDs in the neck and lower back regions reduced. CONCLUSION: The findings indicated incompatibility between precision handicraft workers and the occupational environment. Logistic regression models showed significant contribution of physical and psychosocial work-related factors in developing MSD symptoms. Ergonomic interventions are imperative to evade adverse consequences on the occupational health of precision craft workers.

Oil sorption and retention capacities of thermally-bonded hybrid nonwovens prepared from cotton, kapok, milkweed and polypropylene fibers.

This work reports on a series of thermally-bonded, hybrid and oil-sorbent nonwovens developed from binary and tertiary mixing of cotton, kapok, and three varieties of milkweed fibers (Asclepias Syriaca, Calotropis Procera and Calotropis Gigantea) and polypropylene fibers. The physical and chemical properties of the fibers were investigated to examine their oleophilic character. It was observed that all the fiber surfaces were covered with natural wax. Further, kapok and milkweed fibers were found to have less cell wall thickness and high void ratio. Oil sorption and retention characteristics of these fibers were studied in loose fibrous form as well as in structured assembly form (thermally-bonded nonwovens) using high density oil and diesel oil. The effects of fiber diameter, fiber cross-sectional shape, fiber surface area and porosity on the oil sorption behavior were discussed. An excellent and a selective oil sorption behavior of milkweed fibers (Calotropis Procera and Calotropis Gigantea) blended with cotton and polypropylene fibers were observed. The maximum oil sorption capacity of the developed thermal bonded nonwoven was 40.16 g/g for high density (HD) oil and 23.00 g/g for diesel oil. Further, a high porosity combined with high surface area played a major role in deciding the oil sorption and retention characteristics.

Detector developments at DESY.

With the increased brilliance of state-of-the-art synchrotron radiation sources and the advent of free-electron lasers (FELs) enabling revolutionary science with EUV to X-ray photons comes an urgent need for suitable photon imaging detectors. Requirements include high frame rates, very large dynamic range, single-photon sensitivity with low probability of false positives and (multi)-megapixels. At DESY, one ongoing development project - in collaboration with RAL/STFC, Elettra Sincrotrone Trieste, Diamond, and Pohang Accelerator Laboratory - is the CMOS-based soft X-ray imager PERCIVAL. PERCIVAL is a monolithic active-pixel sensor back-thinned to access its primary energy range of 250 eV to 1 keV with target efficiencies above 90%. According to preliminary specifications, the roughly 10 cm × 10 cm, 3.5k × 3.7k monolithic sensor will operate at frame rates up to 120 Hz (commensurate with most FELs) and use multiple gains within 27 µm pixels to measure 1 to ∼100000 (500 eV) simultaneously arriving photons. DESY is also leading the development of the AGIPD, a high-speed detector based on hybrid pixel technology intended for use at the European XFEL. This system is being developed in collaboration with PSI, University of Hamburg, and University of Bonn. The AGIPD allows single-pulse imaging at 4.5 MHz frame rate into a 352-frame buffer, with a dynamic range allowing single-photon detection and detection of more than 10000 photons at 12.4 keV in the same image. Modules of 65k pixels each are configured to make up (multi)megapixel cameras. This review describes the AGIPD and the PERCIVAL concepts and systems, including some recent results and a summary of their current status. It also gives a short overview over other FEL-relevant developments where the Photon Science Detector Group at DESY is involved.

Ergonomic design and evaluation of gemstone polishing workstation.

Objectives. Gemstone polishers suffer from musculoskeletal problems due to constrained working postures, substantially influenced by the poor design of conventional gemstone polishing workstations. The present study investigated the effects of three workstation adjustment parameters (illumination at workstation, polishing height, tool post position) on postural angle, muscle activity and perceived postural discomfort in order to develop recommendations for new gemstone polishing workstations. Methods. Twelve professional gemstone polishers performed the polishing task on a prototype test-rig in 27 different test conditions. Taguchi's L27 orthogonal array was employed to estimate the optimum setting for gemstone polishing workstation design. Results. Study variables had a significant influence on postural angles. Polishing height substantially influenced muscle activity and perceived discomfort in the shoulder and lower back region. Tool post position was found to be the determinant factor for forearm muscle activity and perceived discomfort in the wrist/forearm region. Based on the findings, illumination of 1500 lux, polishing at 15 cm above the elbow height and a 20° tool position was recommended. Conclusions. Our findings present an alternative approach to using Taguchi's design of experiment for workstation improvement, which has received very little attention in ergonomics studies. A confirmation test was conducted to validate the study recommendations.

Light and scanning electron microscopic characterization of pollen grains of some wetland angiosperms from India.

Pollen grains of 58 wetland species of angiosperms belonging to 17 families, growing in different wetlands of Sub-Himalayan biodiversity hotspots, Northern Bengal and lower Gangetic plains, India were investigated during a 4-year span of 2015-2019. Freshly collected anthers were processed through the acetolysis method and the obtained pollen grains were accurately studied under LM and SEM and properly photographed. Different attributes viz. shape, size, aperture type and exine ornamentation of pollen grains served as consistent features were used for authentic identification of the studied species. To study the phylogeny of pollen grains, characters like polarity, symmetry, aperture and exine sculpturing were found most significant for species segregation. Investigated pollen grains were mostly prolate-spheroidal, spheroidal or triangular, rarely prolate or elongated, exine psilate, granulate, reticulate or microechinate type. Most of the observable aperture of pollen grains of studied species were colporate, colpate and porate, while ulcerate and inaperturate grains were also observed in the studied aquatic members of the families Cyperaceae and Potamogetonaceae. All the gathered data were further statistically analyzed through ANOVA, PCA and Pearson Correlation Matrix to understand the interrelationship among the species. The permanent slides of identified pollen grains were deposited at the herbarium of North Bengal University [NBU] for future references. HIGHLIGHTS: Study of Pollen morphology of 58 wetland species under light & scanning electron microscopy. Unique apertures and exine ornamentation used to understand taxonomic evaluation of studied species. Pollen character supports interrelationship among the studied species. Relationship between exine thickness and the habitat of the wetland plants.

Transcriptome analysis of mulberry (Morus alba L.) leaves to identify differentially expressed genes associated with post-harvest shelf-life elongation.

Present study deals with molecular expression patterns responsible for post-harvest shelf-life extension of mulberry leaves. Quantitative profiling showed retention of primary metabolite and accumulation of stress markers in NS7 and CO7 respectively. The leaf mRNA profiles was sequenced using the Illumina platform to identify DEGs. A total of 3413 DEGs were identified between the treatments. Annotation with Arabidopsis database has identified 1022 DEGs unigenes. STRING generated protein-protein interaction, identified 1013 DEGs nodes with p < 1.0e-16. KEGG classifier has identified genes and their participating biological processes. MCODE and BiNGO detected sub-networking and ontological enrichment, respectively at p ≤ 0.05. Genes associated with chloroplast architecture, photosynthesis, detoxifying ROS and RCS, and innate-immune response were significantly up-regulated, responsible for extending shelf-life in NS7. Loss of storage sucrose, enhanced activity of senescence-related hormones, accumulation of xenobiotics, and development of osmotic stress inside tissue system was the probable reason for tissue deterioration in CO7. qPCR validation of DEGs was in good agreement with RNA sequencing results, indicating the reliability of the sequencing platform. Present outcome provides a molecular insight regarding involvement of genes in self-life extension, which might help the sericulture industry to overcome their pre-existing problems related to landless farmers and larval feeding during monsoon.

Intrinsic Light-Activated Oxidase Mimicking Activity of Conductive Polyaniline Nanofibers: A Class of Metal-Free Nanozyme.

In recent decades, studies have focused on inorganic nanozymes to overcome the intrinsic drawbacks of bioenzymes due to the demands of improving the reaction conditions and lack of robustness to harsh environmental factors. Many biochemical reactions catalyzed by enzymes require light activation. Light-activated nanozymes have distinct advantages, including being regulated by light stimuli, activating the molecular oxygen to produce reactive oxygen species (ROS) without interfering supplementary oxidants, and often showing a synergistic effect to catalyze some challenging reactions. Only a few studies have been done on this connection. Therefore, it is still a big challenge to develop a nanozyme regulated by light activation. Herein, we uncovered the light-activated oxidase mimicking activity of a conducting polymer polyaniline nanofibers (PANI-NFs). PANI-NFs exhibit intrinsic light-activated brilliant oxidase-like activity, can catalyze the colorless tetramethyl benzidine (TMB) to produce a blue product TMBox, and have a distinct Km = 0.087 mM and a high Vmax = 2.32 µM min-1 value, measured by using Hanes-Woolf kinetics. We also report the light-activated oxidase activity of some other renowned carbocatalysts graphene oxide and graphitic carbon nitride and compare them with PANI-NFs. This type of property shown by the conductive polymer is amazing. The density functional theory is used to verify the stability and the mode of adsorption of the PANI NFs-TMB composite, which corroborates the experimental results. Furthermore, the current nanozyme demonstrated a significant ability to kill both Gram-negative and Gram-positive bacteria as well as effectively destroy biofilms under physiological conditions. We believe that this work provides the motivation to create a link between optoelectronics and biological activity in the near future.

Risk factors associated with musculoskeletal disorders among gemstone polishers in Jaipur, India.

Purpose. Gemstone polishing is a highly repetitive and strenuous job which may lead to musculoskeletal disorders (MSDs) among workers. This study aimed to determine the prevalence of MSDs and their contributing factors among gemstone polishers in Jaipur, India. Materials and methods. A self-reported questionnaire study was conducted among 388 male gemstone polishers. Current working postures of the participants were evaluated using rapid upper limb assessment. Results were considered significant at p ≤ 0.05. Results. MSDs were highly prevalent among gemstone polishers, primarily in the lower back, neck, wrists/forearms and shoulders. Work-related factors including prolonged daily working hours, little recovery time, sustaining a non-neutral working posture, repetitive movements of upper limbs and individual factors including age and job tenure were significantly associated with MSDs in different body regions. Higher education led to a reduction in the occurrence of MSDs. Evaluation of working posture recommended further investigations and immediate changes in working habits of gemstone polishers to avoid serious harm and physical damage. Conclusion. Gemstone polishers in Jaipur are at high risk of developing MSDs in different body regions. Sustaining a non-neutral working posture for a long duration is a major risk factor in the current work setting.

Preservative potential of biosynthesized silver nanoparticles: prevention of xylem occlusion and microbial proliferation at postharvest stage of preservation.

The purpose of the current study was to determine the appropriate genotype and concentration of biosynthesized silver nanoparticles effectual in preserving mulberry leaves at the postharvest stage. The preservative effect of silver nanoparticles was determined by their potentiality to prevent xylem blockage, chlorophyll content retention and inhibition of microbial proliferation within a preservative solution. For synthesizing silver nanoparticles, a blend of 10-3 M silver nitrate and S1 genotype of the mulberry leaf was found to be most effective. Silver nanoparticles at 6 ppm were observed to be the least effective concentration for preserving mulberry leaves for at least 7 days at the postharvest stage, as evident from physical texture and retention of chlorophyll content. Biosynthesized silver nanoparticles showed negative microbial count during the course of preservation as evident from no colony-forming unit (CFU) until the last day of preservation, while conventional preservative silver nitrate showed traces of CFU on a nutrient agar plate. Besides, these leaves preserved in nanosilver solution showed an almost negligible number of xylem blockage in the petiole, almost equivalent to the blockage nature of fresh leaves caused by the deposition of macromolecules like protein, lignin and suberin. Nanosilver- and silver nitrate-preserved leaves also displayed insignificant accumulation of reactive oxygen species (ROS) and greater retention of membrane integrity than leaves preserved in normal distilled water. Nanosilver solution showed greater durability of preserving mulberry leaves than conventional floral preservative silver nitrate, useful for feeding silkworm larvae during the rainy season.

Use of biogenic silver nanoparticles in enhancing shelf life of Morus alba L. at post harvest stage.

Morus alba is one of the most important cultivated crop in Indian sub-continent contributing towards production of silk fibre that carries economic importance worldwide. Post harvest preservation of M. alba leaves is a challenging factor as decrease in concentration of essential metabolites that needed for silk gland development takes place. Decrease in chlorophyll, protein, sugar concentration and increase in accumulation of free radicals and ROS takes place at post harvest stage of preservation, putting negative impact on larval development indicated by high mortality rate. Silver nitrate and nanosilver solution acts as an effective preservative, enhances the activity of enzymatic and non-enzymatic antioxidants thereby reducing the harmful effect of accumulated free radicals and ROS. The effectiveness of nanosilver solution was found to be on the upper site without any significant difference than silver nitrate, as higher retention of primary metabolites like pigments, proteins, and sugar takes place. The impact of feeding nanosilver preserved leaves on silkworm was found on the positive trend as larval growth rate, cocoon weight, shell weight, effective rate of rearing was observed almost same to the larvae fed with fresh leaves.

A systematic review of work-related musculoskeletal disorders among handicraft workers.

Purpose. Handicraft manufacturing appears to be an occupation where work-related musculoskeletal disorders (WMSDs) are a major threat to workers. For the multifactorial nature and varying prevalence of WMSDs between different body areas, the current study aimed to evaluate the prevalence of WMSDs and associated risk factors among handicraft workers. Methods. This review was based on literature collected from three electronic databases, and the retrieved articles were screened following the inclusion/exclusion criteria. After applying the literature selection criteria to 182 articles, 30 citations were selected and examined in detail. Results. The findings suggest that the prevalence of musculoskeletal symptoms among handicraft workers is 38.5-100%, and the most affected body areas were the neck, back, knees and upper limbs. Risk factors including working posture, daily working hours, repetitive and forceful movements, work experience, age, gender and working under stressful conditions were found to be highly associated with the occurrence of WMSDs. However, higher educational qualification of the workers led to a reduction in the odds of developing WMSDs. Conclusion. Handicraft workers are at high risk of developing WMSDs. Further research, preferably longitudinal studies, with more emphasis on work-related factors should now be undertaken to thoroughly investigate WMSDs in this occupational group.

Truncated inception net: COVID-19 outbreak screening using chest X-rays.

Since December 2019, the Coronavirus Disease (COVID-19) pandemic has caused world-wide turmoil in a short period of time, and the infection, caused by SARS-CoV-2, is spreading rapidly. AI-driven tools are used to identify Coronavirus outbreaks as well as forecast their nature of spread, where imaging techniques are widely used, such as CT scans and chest X-rays (CXRs). In this paper, motivated by the fact that X-ray imaging systems are more prevalent and cheaper than CT scan systems, a deep learning-based Convolutional Neural Network (CNN) model, which we call Truncated Inception Net, is proposed to screen COVID-19 positive CXRs from other non-COVID and/or healthy cases. To validate our proposal, six different types of datasets were employed by taking the following CXRs: COVID-19 positive, Pneumonia positive, Tuberculosis positive, and healthy cases into account. The proposed model achieved an accuracy of 99.96% (AUC of 1.0) in classifying COVID-19 positive cases from combined Pneumonia and healthy cases. Similarly, it achieved an accuracy of 99.92% (AUC of 0.99) in classifying COVID-19 positive cases from combined Pneumonia, Tuberculosis, and healthy CXRs. To the best of our knowledge, as of now, the achieved results outperform the existing AI-driven tools for screening COVID-19 using the acquired CXRs, and proves the viability of using the proposed Truncated Inception Net as a screening tool.

CSNet: A new DeepNet framework for ischemic stroke lesion segmentation.

BACKGROUND AND OBJECTIVES: Acute stroke lesion segmentation is of paramount importance as it can aid medical personnel to render a quicker diagnosis and administer consequent treatment. Automation of this task is technically exacting due to the variegated appearance of lesions and their dynamic development, medical discrepancies, unavailability of datasets, and the requirement of several MRI modalities for imaging. In this paper, we propose a composite deep learning model primarily based on the self-similar fractal networks and the U-Net model for performing acute stroke diagnosis tasks automatically to assist as well as expedite the decision-making process of medical practitioners. METHODS: We put forth a new deep learning architecture, the Classifier-Segmenter network (CSNet), involving a hybrid training strategy with a self-similar (fractal) U-Net model, explicitly designed to perform the task of segmentation. In fractal networks, the underlying design strategy is based on the repetitive generation of self-similar fractals in place of residual connections. The U-Net model exploits both spatial as well as semantic information along with parameter sharing for a faster and efficient training process. In this new architecture, we exploit the benefits of both by combining them into one hybrid training scheme and developing the concept of a cascaded architecture, which further enhances the model's accuracy by removing redundant parts from the Segmenter's input. Lastly, a voting mechanism has been employed to further enhance the overall segmentation accuracy. RESULTS: The performance of the proposed architecture has been scrutinized against the existing state-of-the-art deep learning architectures applied to various biomedical image processing tasks by submission on the publicly accessible web platform provided by the MICCAI Ischemic Stroke Lesion Segmentation (ISLES) challenge. The experimental results demonstrate the superiority of the proposed method when compared to similar submitted strategies, both qualitatively and quantitatively in terms of some of the well known evaluation metrics, such as Accuracy, Dice-Coefficient, Recall, and Precision. CONCLUSIONS: We believe that our method may find use as a handy tool for doctors to identify the location and extent of irreversibly damaged brain tissue, which is said to be a critical part of the decision-making process in case of an acute stroke.

Improvisation of salinity stress response in mung bean through solid matrix priming with normal and nano-sized chitosan.

Nano particles open up a new avenue in crop science because of their unique physicochemical properties. Chitosan is preferred as priming agent in nano-form due to its biodegradability and non toxicity. Prepared nano-chitosan was characterized by Dynamic light scattering study, Fourier-transform infrared spectroscopy study and scanning electron microscopy. In present study the morphological, physiological and biochemical responses with an emphasis on several oxidative stress markers like proline, malondialdehyde (MDA), hydrogen peroxide (H2O2) contents of mung bean seedlings to 0, 4 and 8 dS/m salt stress conditions after Solid Matrix Priming (SMP) using the elicitors like nano-chitosan, chitosan and water were studied. The activities of different antioxidant enzymes like superoxide dismutase, catalase and oxidative stress markers like proline, H2O2 and MDA increased considerably over water control in accordance with salt stress gradient. However, SMP with nano-chitosan showed significant improvement showing reduction in H2O2 and MDA contents over control leading to the better growth, increased chlorophyll content and metabolism. Thus, our study shows that SMP with both normal and nano sized chitosan will be able to overcome the adverse effect of salt stress in mung bean seedlings allowing the activation of their defense mechanisms for better protection against salt stress.

Study of oil sorption behavior of filled and structured fiber assemblies made from polypropylene, kapok and milkweed fibers.

This article reports on oil sorption behavior of fiber assemblies made up of single natural and synthetic fibers as well as blend of natural and synthetic fibers when tested with high density oil and diesel oil. A series of filled fiber assemblies were prepared from 100% polypropylene, kapok, and milkweed fibers and another series of bonded structured fiber assemblies were prepared from a 70/30 blend of kapok and polypropylene fibers and a 70/30 blend of milkweed and polypropylene fibers. It was observed that the porosity of the fiber assemblies played a very important role in determining its oil sorption capacity. The polypropylene fiber assembly exhibited the highest sorption capacity (g/g) followed by the kapok and milkweed fiber assemblies at porosity <0.98. At higher porosities (above 0.98), polypropylene filled fiber assembly has poor sorption capacity due to large sized inter fiber pore. The kapok and milkweed fibers have intra fiber porosities of 0.81 and 0.83, respectively. All the fiber assemblies showed higher oil sorption capacity with the high density oil as compared to the diesel oil. As the kapok and milkweed fiber have low cellulose content, hence their slow degradation is an advantage in fresh and marine water applications. The good sorption capacity of kapok and milkweed fiber assemblies along with their bio-degradable nature offer great scope for structuring them into fiber assemblies with large porosity and uniform pores to have efficient oil sorbents.