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Design and Implementation of Smart Automation for Sustainable Plastic Recycling with IoT Integration
No full textPlastic pollution poses a critical environmental challenge, infiltrating ecosystems and impacting human health. One innovative solution involves repurposing recycled plastics into interlocking blocks as a sustainable alternative to concrete in construction. However, manual production methods hinder scalability, efficiency, and product consistency while generating material waste. This research addresses these limitations by automating the production process using PLC and IoT technologies. The findings demonstrate that automation significantly enhances production rates, ensures consistent quality, and minimizes waste, thereby improving operational efficiency and environmental sustainability. IoT is integrated to enhance the system\u27s capabilities by providing real-time connectivity and data exchange. The IoT dashboard, developed using HTML5, CSS3, JavaScript, PHP, and MySQL, enables the monitoring of sensor readings and production metrics, further optimizing the process. Additionally, the scalable and adaptable design supports broader implementation, promoting sustainable practices and advancing the circular economy
Harnessing electroosmotic hybrid nanofluid dynamics in curved arteries: insights into biomedical flow enhancement
No full text
Explore the physical properties of the synthesized UiO-66, Zn-BiOBr, and Zn-BiOBr/UiO-66 heterostructures for optical applications
No full textPost-operative pain after non-surgical root canal treatment with a single cone/ bio-ceramic sealer based obturation: A Randomized Clinical Trial
No full textAim: compare the post- operative pain associated with sealer-based obturation technique (SBO) using bioceramic sealer and a (CWC) obturation technique with a resin-based sealer.
Materials and methods: two-arm randomized clinical trial with 2 parallel groups 20 patients each, after shaping the canals to a minimum dimension of 30/.04, except for a single middle mesial canal, which was shaped to 25/.04 patients randomly allocated into two groups based on the obturation material used. To ensure patient privacy, each name was replaced with a case number. Patients documented their pain on a 0–10 (VAS) at: 4 hours, one day, and two days after canal obturation. The pain score was recorded at its highest value three successive time points selected and then sorted. Data were presented as mean, standard deviation (SD), median, and interquartile range (IQR) values. They were analyzed by Mann-Whitney U and signed rank tests, respectively. The significance level was set at p\u3c0.5 within all tests.
Results: The two groups showed no significant difference. With higher pain score for CWC group.
Conclusion: Within the restrictio
Empowering Green Job Performance: The Role of Training and Development in Environmentally Committed Organizations
No full textPurpose: The effect of Green Training and development on Green Job Performance (GJP) is increasingly recognized as a critical factor in sustainable organizational practices. This study aims to explore this relationship, contributing to the growing academic discourse on Green Job Performance and its linkage to key HR functions—specifically, training and development.
Design/methodology/approach: A cross-sectional, quantitative research design
A structured survey was distributed to 200 employees across 10 Egyptian casting companies, all of which implement green strategies and initiatives.
Findings: The study found that HR components—particularly training and development—play a significant role in embedding green performance practices. Organizations that strategically align their training and development efforts with sustainability goals are more likely to achieve successful green outcomes.
Research limitations/implications: The findings are limited to the participating sample. Future research is recommended to adopt a longitudinal approach to examine the impact of training and development on green job performance over time. This would further clarify the role of HR in embedding sustainability practices across different organizational levels.
Originality/Value: This study offers valuable insights into the emerging concept of Green Job Performance by empirically examining its connection with Green Training and Development. It contributes to the literature by highlighting the evolving role of HR in promoting environmental sustainability and proposing practical strategies for advancing green HR initiatives
CdS−SnO2−ZnO−Doped TiO2 Nanocomposite: A High-Efficiency Photoanode for Dye-Sensitized Solar Cells
No full textThe present study explores the development of a highly efficient titania-based nanocomposite for application in dyesensitized solar cells (DSSCs). The composite incorporates zinc oxide (ZnO), tin oxide (SnO2), and cadmium sulfide (CdS)-doped titanium dioxide (TiO2), synthesized via the precipitation method. These materials are employed individually, as binary mixtures and in ternary form within DSSC architectures. Among these, the CdS−SnO2−ZnO-doped TiO2 nanocomposite demonstrated notable enhancement in the photoelectric performance of DSSCs. The nanocomposite was deposited onto fluorine-doped tin oxide (FTO) glass substrates by using the doctor blade technique. Comprehensive material characterization was carried out using scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDX) to investigate the surface morphology and elemental composition. X-ray diffraction (XRD) analysis confirmed the crystalline phases of the synthesized material. Additionally, UV−vis spectroscopy and differential reflectance spectroscopy were employed to identify the optical absorption region and to calculate the energy bandgap (Eg) using the Tauc plot, which yielded a value of 2.6 eV for the composite. Photovoltaic performance, assessed through current−voltage (I−V) measurements, revealed that the CdS−SnO2−ZnO-doped TiO2 photoanode significantly improves charge transport in DSSCs. The device demonstrated a power conversion efficiency (PCE) of 10.7% with the fluorescent dye, which is approximately four times higher than that achieved with pristine TiO2 using the same dye (2.7%)
Fisetin Mitigates Ferroptosis and Promotes Remyelination in a Cuprizone Model of Multiple Sclerosis
No full textMultiple sclerosis (MS) is a long-lasting autoimmune condition characterized by myelin destruction and neurodegeneration. Research indicates that ferroptosis significantly influences MS pathogenesis, exacerbating neuronal tissue damage. Our study intended to explore the possible neuroprotective role of fisetin (FIS) in cuprizone (CPZ) model of MS and the associated molecular mechanisms. The 9-week experiment comprised a 5-week demyelination period in which C57BL/6 mice were provided with 0.2% w/w CPZ added to rodent chow, followed by a 4-week remyelination period in which mice were fed CPZ-free chow. FIS (80 mg/kg/day) was given by oral gavage to mice daily for 4 weeks starting in the 2nd week of demyelination. For remyelination, FIS was administered daily during the 4 weeks recovery. During demyelination, FIS significantly improved CPZ-induced behavioral and locomotor deficits, as demonstrated by tail suspension test and inverted screen grip strength test. LFB and H & E staining, MBP, GFAP and vimentin immunostaining revealed that FIS treatment significantly improved myelination, alleviated astrogliosis and neuronal injury in CPZ-fed mice throughout both phases. FIS attenuated ferroptosis and neuroinflammation during de- and remyelination as supported by reduced brain iron deposits, IL-1 β, MDA concentrations and restored GPX4. Moreover, FIS significantly downregulated NCOA4 and TfR1 gene expression and TfR1 protein level but upregulated FTH1 gene expression and ferritin protein level. Additionally, FIS upregulated Olig-1 during demyelination, but not remyelination. Fisetin has a potential neuroprotective effect in CPZ model of MS and can be studied as a promising adjuvant therapy to enhance remyelination and mitigate disability in MS patients possibly by modulating ferroptosis pathway
Optimizing elderly care: A data-driven AI model for predicting polypharmacy risk in the elderly using SHARE data.
No full textBackground: Aging is frequently accompanied by multimorbidity, the presence of multiple chronic conditions, which contributes to declines in both cognitive and physical function and presents complex health challenges. One such challenge is Polypharmacy (PP), defined as the concurrent use of more than five medications. Methods: We used data from participants older than 50 years who were present in wave 6 and at least one of the subsequent three waves of the SHARE study, aiming to predict PP risk at 2, 4, and 6-year intervals. We selected the predictor variables using LASSO regression and evaluated eight ML models using a rigorous cross-validation strategy to ensure robustness and reliability. Findings: Our analysis reveals an upward trend in PP prevalence across the surveyed countries, with aggregate figures rising from 34.03% (95% CI 33.1-34.9) in wave 7 to 36.75% (95% CI 35.6-37.9) in wave 8, reaching 39.91% (95% CI 38.9-40.9) in wave 9. LASSO regression identified 17 key predictors of PP risk, which were related to socio-demographic factors, lifestyle factors, physical and mental health, and disease history. Among the models evaluated, the Categorical Boosting ML model performed best, yielding overall accuracies of 75.08%, 73.7%, and 71.65% and recall rates of 72.83%, 70.48%, and 67.96% for the 2, 4, and 6-year intervals, respectively. Interpretation: This study uncovers a rising trend of PP. It demonstrated the potential of using longitudinal data and ML to predict PP. Moreover, our findings suggest that mental health is an important factor to consider when addressing PP
Zinc doped BiOBr impregnated into PVDF sponge as a dip-Photocatalyst for RhB removal from wastewater
No full textOrganic contamination of water has sparked concerns since it has an adverse impact on both human health and the ecosystem as a whole. In this study, Bismuth Oxybromide (BiOBr) was prepared via a Solvothermal approach. Subsequently, BiOBr was doped with Zinc metal to improve the photocatalytic activity through introduce Oxygen vacancies (OVs). The as-prepared materials were characterized using various techniques; Field-Emission scanning electron microscopy (FE-SEM) & Energy dispersive X-ray (EDAX) and elemental composition analysis, X-Ray diffraction (XRD), FTIR spectroscopy and X-ray Photoelectron spectroscopy (XPS). Additionally, optical features (Optical Absorption, band gab, and PL Spectroscopy) and electrochemical impedance spectroscopy (EIS) were also evaluated. The FE-SEM confirmed that, the formation of BiOBr and Zn-BiOBr in a hierarchical microspheres structure constructed from nano-leaves. The physico-chemical characterizations confirm the generation of OVs upon doping with zinc, the optical features results showed a slight increase in optical band gab of BiOBr (2.811 eV) upon doping with Zinc (2.831 eV) while, the PL of BiOBr is higher than that of Zn-BiBOr and EIS results confirms the lower resistance of charge transfer of Zn-BiBOr indicating electron–hole separation leading to improvement and enhancement RhB’s degradation efficiency, with achieving 100% removal after 35 min of reaction. However, the challenge of photocatalyst (as a suspension) separation after the degradation reaction remained. To resolve this issue, we developed a simple technique to impregnate Zn-BiOBr into a highly porous sponge based on Polyvinylidene Fluoride polymer (PVDF) as a dip-photocatalyst, offering potential as a re-usable photocatalyst matrix. Furthermore, the 3D Zn-BiOBr photocatalyst sponge was tested and Found to sustain up to five cycles in consecutive cycles with almost the same photocatalytic effectiveness. In conclusion, the PVDF − Zn-BiOBr sponge is a promising material for energy conversion applications and environmental purposes and enables the reuse of the photocatalyst several times easily