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Can this revolutionary plastics-recycling plant help solve the pollution crisis?

Can you ever experience true silence? Intimate exhibition offers insight

Report both positive and negative effects of gene changes on crops

Net-zero emissions commitments are more threatened than ever

‘Research that touches the heart’: the scientists who study sex and love

How the World Health Organization can thrive without the United States

‘Despair is not an option’ — how scientists can help protect federal research

NASA’s ‘most prolific planet hunter so far’ — the story of the Kepler Space Telescope

Researching endangered animals in the Sahara has its own dangers

Why even physicists still don’t understand quantum theory 100 years on

Microbes in space: how bacteria could help sustain long-distance space travel

How a wobbly arrow can achieve superpropulsion

Computational modeling of bone allograft reconstruction following femoral shaft tumor resection: Investigating the impact of supplementary plate fixation

Background and objective The use of bone allograft reconstructions after tumor resection can introduce significant complications. Stable fixation is required to decrease the incidence of mechanical complications of segmental bone allografts. The purpose of the present study is to compare plating fixation methods of diaphyseal allografts after intercalary resection of the femur. Methods We created four defined fixation models using plates and/or intramedullary polymethylmethacrylate (PMMA) to simulate typical bone tumor resection with intercalary allograft reconstruction. One angularly stable plate (DFP) with 13 locking screws and fresh frozen allografts (labeled “I”) were used for bone reconstruction. Three modified reconstructions were created: “II” included a supplementary plate (SP) with four locking screws, “III” was augmented with intramedullary PMMA in the allograft, and “IV” combined intramedullary PMMA and both plates. We applied a load model that simulates partial weight bearing on the lower limb to simulate the load during postoperative rehabilitation. Results The highest stress in the DFP occurred at the allograft-bone transition, with variant IV reaching 297 MPa. PMMA augmentation reduced median interfragmentary motion (IFM) and sliding distances, with variant III achieving the lowest distal sliding distance (0.9 μm) in the distal area. Supplementary plate fixation reduced maximal and median proximal IFM distances (86.9 μm in variant II vs. 116.0 μm in variant I) but increased sliding distances (23.7 μm in variant II vs. 0.6 μm in variant I). Conclusions PMMA augmentation reduces IFM and sliding distances, enhancing rigidity, particularly in the distal area. Supplementary plate fixation decreases IFM distances in the proximal area but increases sliding distances in the same region. Variants III and IV demonstrate lower IFM and sliding distances in the distal area overall. Variant III shows very low sliding distances in both distal and proximal areas. Variant IV combines improved firmness with slightly higher stress levels.

Exploring the associations between the biomechanical and psychological mechanistic pathways of lower back pain development amongst persons with lower-limb amputation: A study protocol

Introduction The global rise in lower-limb amputations is mainly due to diabetes and vascular complications. Amputations cause serious physical and psycho-social disabilities which impair locomotion and compromise patients quality of life. Biopsychosocial factors such as altered gait parameters, poor prosthetic fit, depression, fear avoidance behaviours and stigma increase the risk of individuals incurring lower back pain; the leading cause of secondary disability amongst persons with lower-limb amputation. Exploring the potential mechanistic pathways of lower back pain development is important to inform timely patient-centred programmes of care. Currently, limited information exists to inform the design of such programmes. Thus, there is a pressing need to understand the bio-behavioural, psychological, and social features of individuals with lower-limb amputation in the presence of lower back pain. Methods and analysis This proposed study protocol employs a prospective longitudinal study design that aims to explore the determinants of lower back pain amongst 30 adults with unilateral lower-limb amputation over 12-months. Biomechanical gait variables, trunk and lower-limb muscle activations, and objective pain measurements will be monitored every 3-months, and their relationship will be investigated. This information can be used to explore the characteristics of lower back pain and will inform future care management and rehabilitation processes. A data repository will be created and will be accessible through the University of Bath library website (https://library.bath.ac.uk/home). Trial reference number The study is registered at IRAS ID: 321729 and at ClinicalTrials.gov: NCT06243549.

Variability in storm season intensity modulates ocean acidification conditions in the northern Strait of Georgia

Cuproptosis genes in predicting the occurrence of allergic rhinitis and pharmacological treatment

Background While drug therapy and allergen immunotherapy are useful for alleviating symptoms of seasonal allergic rhinitis (AR), existing therapeutic options remain limited. Cuproptosis is a novel form of programmed cell death, and its role in allergic rhinitis has not yet been explored. Researching the interaction between cuproptosis and allergic rhinitis will likely pave the way for future treatment of this disease. Methods A microarray dataset of AR patients and normal controls (GSE43523) were obtained from the Gene Expression Omnibus (GEO) database for differential gene analysis. Cuproptosis related genes were extracted from the differentially expressed genes (DEGs) to form the AR/cuprotosis-gene set and analyzed by the GO and KEGG databases. Intersection analysis further defined the AR signature genes (AR-sg). Consensus cluster analyses were used to define the AR/cuprotosis-genes into subsets. Finally, AR signature genes were used as targets for drug prediction and molecular docking to identify candidate drugs that may affect SAR. Results Four AR signature genes (MRPS30, CLPX, MRPL13, and MRPL53) were selected by the MCC, EPC, BottleNeck, and Closeness algorithms. Correlation analysis of the AR signature genes and immune genes showed strong interactions; xCell analysis identified multiple immune cell types and supported these cells’ importance in the AR pathogenesis. Finally, drug target analysis suggests that 1,5-isoquinolinediol and gefitinib have the potential to become future AR treatments. Conclusion Our study analyzed allergic rhinitis and cuproptosis related genes by the bioinformatics approach and predicted 1,5-isoquinolinediol and gefitinib as potentially useful drugs for treating AR patients in the future.

Assessment of the performance of Ni carbon nanotube nano composite coatings and activated carbon for diesel exhaust treatment

Abstract Diesel engines are essential in sectors such as transportation, agriculture, and power generation, offering benefits like fuel efficiency, high power output, and durability. However, their emissions (NOX, CO2, CO, HC, SO2, and PM) significantly contribute to air pollution, posing serious environmental and health risks. This study aimed to design and fabricate a unit that simulates diesel engine emissions and tests various purification materials. The unit consists of a combustion chamber, filtration media, and exhaust pipes, with materials such as activated carbon, activated carbon with magnesium oxide, and Ni-Carbon Nanotube (CNTs) nanocomposites tested under controlled combustion conditions to measure their pollutant removal efficiencies. Results showed that 100% activated carbon achieved pollutant removal efficiencies of 85.21% for CO2, 80.77% for CO, and 68.84% for HC. Combining activated carbon with magnesium oxide (AC: MgO) enhanced these efficiencies to 76.92% for CO2, 86.84% for CO, and 73.28% for HC. Ni-CNTs nanocomposites (at 0.2 concentration) demonstrated the highest performance, with removal efficiencies of 93.13% for CO2, 94.87% for CO, and 76.02% for HC. These results emphasize the potential of Ni-CNTs nanocomposites as highly efficient materials for reducing diesel exhaust emissions, contributing significantly to cleaner air, better public health, and more sustainable diesel technologies.

Mindfulness-based (non-contact) boxing therapy (MBBT) for depression and anxiety: A feasibility study

Objectives Mindfulness-Based (non-contact) Boxing Therapy (MBBT) is a novel intervention designed to empower and promote self-agency through behavioral interventions, while reducing barriers to exercise for individuals with mental disorders. MBBT is an instructor-led, manualized, non-contact boxing group-exercise program (delivered in 90 min sessions, twice a week, over 10 weeks) that blends principles of mindfulness, meditation and group therapy. The current study tested the acceptability and feasibility of delivering MBBT to adults with major depressive disorder (MDD) or generalized anxiety disorder (GAD). Methods Nine adult outpatients with MDD or GAD were recruited from a psychiatric outpatient clinic in Toronto, Canada in a 10-week feasibility trial of MBBT using a pre-post design. Feasibility was assessed through recruitment and retention rates, while acceptability was assessed through the CSQ-8, and self-questionnaires. Secondary clinical outcomes included the PHQ-9, GAD-7, K10, CGI, and MAAS. Trial registry: ISRCTN23023309. Results Eight participants (5 female, 3 male) were included in the final analysis. Results indicated a high user retention (89%), attendance (84%), and satisfaction (98%). The study observed a statistically significant mean percent reduction in depression (54%), anxiety (51%) and distress (36%), alongside a mean percent increase in mindfulness (79%). Post intervention qualitative feedback from participants revealed themes of inclusivity and accessibility, cathartic release and control of emotions, improved self-esteem and confidence, self-agency, community, and trust in leadership. Conclusions Given the limitation of the study, MBBT appeared to be feasible and acceptable as an exercise/behavioural intervention. Further well-designed randomized clinical trials are warranted to confirm the clinical benefits of MBBT.

Metric field as emergence of Hilbert space

Ecological modelling: A computational analysis of air pollution discourses in English print media of India and Pakistan

The present study investigates air pollution dynamics through newspaper discourse in India and Pakistan, where both countries rank among the top five countries affected by air pollution. The study focused on newspaper discourses over almost two decades (2005–2023). The study applied Latent Dirichlet Allocation (LDA), a robust algorithm for analyzing the large text corpus. The study underpinned Computational Grounded Theory, which relies on the fact that computation is a way to reveal the hidden meanings beyond the text. The LDA-generated topics reveal that both countries face the toxicological effects of air pollution on health. The primary topics extracted through LDA revolve around discourses related to vehicular emissions, industrial emissions, and urbanization. In addition, the control measures taken by both countries relate to emission standards. The study also has implications for policymakers and planners considering these directions to control air pollution.