Browse Articles

Thick film formation on Li-O2 cathodes – breaking the true capacity barrier

Autonomous surgical planning of mandibular angle reduction based on anatomical landmarks and osteotomy plane detection

Development of a sustainable portable Archimedes screw turbine for hydropower generation

Abstract Portable hydropower turbines are turbines with a scale below 5 kW and which can be carried from one place to another easily by hand due to their light weight. This study was carried out to evaluate the potential of Archimedes Screw Turbine (AST) as an improved portable hydro-power turbine (PHPT) to address shortcomings in available portable turbines. The design of Archimedes screw hydro-power turbine is mainly concerned with screw geometry, which is determined by a variety of internal and external characteristics, including its length, external and internal diameter, Pitch of blades, and Number of the blades, which were 80 cm, 18 cm, 9.53 cm, 18 cm and two number of blades respectively. The turbine was manufactured from stainless steel material according to design parameters and installed in the laboratory. Experimental testing was performed at different discharges (Q) of 0.3, 0.4, 0.5, 0.6, and 0.7 ft3/s and at the angle of inclination of 22, 30, 45, and 55° of screw shaft to measure power outputs and overall efficiencies. The maximum overall efficiency obtained was 70% at a flow rate of 0.5 ft3/s and at an angle of inclination of 30°. The power output at maximum overall efficiency was 42 watts and hydraulic efficiency was 75.5%. At the flow rate of 0.3 ft3/s and an angle of inclination of 55°, the turbine produced a minimum power output of 22.8 watts and an overall efficiency of 39.4%.Experimentation revealed that the flow rate (Q) and inclination of the turbine shaft affect the turbine Power output (Po) and overall efficiency (ηo). This study helps to manufacture small AST on a large scale, to utilize small flows of water, and to evaluate the possibilities of AST as an appropriate portable hydro-power generation turbine. Further research and experimentation are needed to assess whether 3D printing can be effectively scaled for broader implementation in low-resource areas.

A novel type of hemoglobin confers host-derived nitric oxide resistance to the opportunistic pathogen Acinetobacter baumannii

A human gene makes mice squeak differently — did it contribute to language?

Correction for Hasson et al., Automated determination of transport and depositional environments in sand and sandstones

Daily briefing: CAR-T-cell therapy recipient nears two decades in cancer remission

Correction for Li et al., Recurrent DNA nicks drive massive expansions of (GAA) _n repeats

Correction for Joshy et al., Accelerated cell-type-specific regulatory evolution of the human brain

‘Unconventional’ nickel superconductor excites physicists

Astragalin relieves inflammatory pain and negative mood in CFA mice by down-regulating mGluR5 signaling pathway

Long-term efficacy of botulinum toxin for treatment of acquired non-accommodative comitant esotropia

Research on the dynamic performance and motion control methods of deep-sea human occupied vehicles

Predicting cell properties with AI from 3D imaging flow cytometer data

Abstract Predicting the properties of tissues or organisms from the genomics data is widely accepted by the medical community. Here we ask a question: can we predict the properties of each individual cell? Single-cell genomics does not work because the RNA sequencing process destroys the cell, not allowing us to verify our predictions. To test the hypothesis, we investigate the approach of using AI to analyze single-cell images obtained from a 3D imaging flow cytometer. We analyze the cell image at day zero and make the AI-assisted cell property prediction. The prediction is then examined later when the cells continue to live and develop. Our preliminary results are promising, showing 88% accuracy in predicting cells that will have a high protein expression level. The technique can have strong ramifications and impact on preventive medicine, drug development, cell therapy, and fundamental biomedical research.

Associations of excessive gestational weight gain with changes in components of maternal reverse cholesterol transport and neonatal outcomes

Daily briefing: The ‘dark side’ of the Asilomar conference

An 8-point scale lung ultrasound scoring network fusing local detail and global features

Assessment of the bidirectional causal association between Helicobacter pylori infection and allergic diseases by mendelian randomization analysis

Surgical outcomes of unilateral medial rectus recession for partially accommodative esotropia

Behavioral and multiomics analysis of 3D clinostat simulated microgravity effect in mice focusing on the central nervous system

Abstract A study was conducted to evaluate the three-dimensional clinostat simulated microgravity effect on mouse models, focusing on the central nervous system. Eighteen mice were divided into three groups: control, survival box, and clinostat + survival box. Behavioral tests, femur micro-CT, brain transcriptomics, serum metabolomics, and fecal microbiomics were performed. Results showed decreased activity, altered gait, enhanced fear memory, bone loss, immune/endocrine changes in brain transcriptome, and altered metabolic pathways in serum and gut microbiota in clinostat-treated mice. The model closely mimics spaceflight-induced transcriptome changes, suggesting its value in studying microgravity-related neurological alterations and highlighting the need for attention to emotional changes in space.