The steadily increase of global energy requirements has brought about a general agreement on the need for novel renewable and environmentally friendly energy sources and carriers. Among the alternatives to a fossil fuel-based economy, hydrogen gas is considered a game-changer. Certain methods of hydrogen production can utilize various low-priced industrial and agricultural wastes as substrate, thus coupling organic waste treatment with renewable energy generation. Among these approaches, different biological strategies have been investigated and successfully implemented in laboratory-scale systems. Although promising, several key aspects need further investigation in order to push these technologies towards large-scale industrial implementation. Some of the major scientific and technical bottlenecks will be discussed, along with possible solutions, including a thorough exploration of novel research combining microbial dark fermentation and algal photoheterotrophic degradation systems, integrated with wastewater treatment and metabolic by-products usage.
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http://dx.doi.org/10.1016/j.biortech.2015.12.083 | DOI Listing |
Acta Trop
January 2025
Parasitology Department, Schistosomiasis Reference Laboratory. Aggeu Magalhães Institute/FIOCRUZ-PE.
Schistosomiasis presents a significant public health challenge, especially in regions with inadequate sanitation. Current diagnostic methods, including the Kato-Katz technique, often lack sensitivity in detecting low parasite loads, prompting the search for more precise alternatives. This study introduces the Sm1-7-qPCR system as a highly sensitive and specific diagnostic tool for identifying S.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
College of Engineering and Applied Sciences, Jiangsu Key Laboratory of Artificial Functional Materials, National Laboratory of Solid State Microstructures, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing 210093, P. R. China.
The rapid advancements in 3C electronic devices necessitate an increase in the charge cutoff voltage of LiCoO to unlock a higher energy density that surpasses the currently available levels. However, the structural devastation and electrochemical decay of LiCoO are significantly exacerbated, particularly at ≥4.5 V, due to the stress concentration caused by more severe lattice expansion and shrinkage, coupled with heterogeneous Li intercalation/deintercalation reactions.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Computer Science & Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India.
A dual-stage model for classifying Parkinson's disease severity, through a detailed analysis of Gait signals using force sensors and machine learning approaches, is proposed in this study. Parkinson's disease is the primary neurodegenerative disorder that results in a gradual reduction in motor function. Early detection and monitoring of the disease progression is highly challenging due to the gradual progression of symptoms and the inadequacy of conventional methods in identifying subtle changes in mobility.
View Article and Find Full Text PDFNat Med
January 2025
Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden.
Ovarian lesions are common and often incidentally detected. A critical shortage of expert ultrasound examiners has raised concerns of unnecessary interventions and delayed cancer diagnoses. Deep learning has shown promising results in the detection of ovarian cancer in ultrasound images; however, external validation is lacking.
View Article and Find Full Text PDFNat Commun
January 2025
Institute of Materials for Electronics and Energy Technology (i-MEET), Department of Materials Science and Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Perovskite-organic tandem solar cells (P-O-TSCs) hold substantial potential to surpass the theoretical efficiency limits of single-junction solar cells. However, their performance is hampered by non-ideal interconnection layers (ICLs). Especially in n-i-p configurations, the incorporation of metal nanoparticles negatively introduces serious parasitic absorption, which alleviates photon utilization in organic rear cell and decisively constrains the maximum photocurrent matching with front cell.
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