Fecal shotgun metagenomics from 6,803 adults in the Japanese 4D cohort and microbiome-based prediction scores validated across 13 independent and geographically diverse cohorts revealed two opposing microbiome-mediated axes linking lifestyle to health and 15 diseases.
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Perceptions and Acceptance of Robotic Apple Harvesting
Apples are a significant dietary staple in the world, and with the global population expected to reach 9.7 billion by 2050, which represents a 25.7% increase from 2020, the agricultural sector faces a massive surge in demand. This growth creates an urgent need to develop new systems that can harvest apples effectively while maintaining sustainable farming practices. Traditional apple harvesting relies heavily on manual methods that are not only labour-intensive but also pose significant risks to the musculoskeletal health of human fruit pickers. The repetitive nature of the task and the physical strain involved make traditional picking an increasingly unsustainable practice. Therefore, an automated and more efficient harvesting solution is envisioned as a necessary requirement to address the evolving societal and ethical demands. Before developing such technical systems, it is imperative to understand the consumer needs and acceptance of harvesting apples using systems such as robots. This research aims to understand the public perception of robotic apple harvesting, including an investigation of nine distinct scenarios. The research considers both the advantages and the potential societal risks associated with technologies available today and those expected to emerge in the near future. A questionnaire has been designed to incorporate all the possible considerations to capture sufficient data for analysis. By collecting data from a population of 240 samples using questionnaires and conducting statistical analysis, the study shows that consumers care significantly about the size and colour of apples as an indication of quality. The majority of consumers have no preference for or welcome robotic harvesting and tend to believe the harvested quality is better.
Robotic Apple Harvester, Consumer Perceptions, SPSS, Agricultural Robotics
Pancreatic cancer: why is it so hard to treat?
Currently, complete surgical resection provides the only potential for long-term cure of PDA but only a minority of patients have tumors that are amenable to surgery [Shaib et al. 2006]. This is due to the fact that, upon diagnosis, tumors have generally spread to involve critical abdominal vessels as well as adjacent organs. Significant advances have been made in the technical aspects of surgical resection with decreases in short-term morbidity and mortality at major centers [Winter et al. 2012]. Yet even in the most experienced centers, long-term survival after surgery is poor [Farnell et al. 2005; Ferrone et al. 2012], with tumors recurring in virtually all patients [Allison et al. 1998]. Due to the high rate of recurrence, local targeted therapy with radiation has been suggested following surgery. However, controlled studies of the long-term impact of adjuvant radiation therapy have proved inconclusive to date [Neoptolemos et al. 2004]. The cytotoxic effect of radiation therapy relies in part on the presence of oxygen [Harrison et al. 2002]. However, intraoperative oxygen measurements on human patients have found that these tumors are extremely hypoxic [Koong et al. 2000], which may contribute to the limited impact of this modality.
The limited long-term efficacy of surgery and adjuvant radiation therapy has led many to conclude that residual tumor tissue remains even in the case of complete surgical resection with no evidence of residual tumor. One possible explanation is that of ‘field effect’ mutations that may affect otherwise normal appearing cells present in the residual pancreatic tissue. Alternatively, PDA may simply metastasize at a microscopic level at a very early stage. Indeed, provocative data in a genetically engineered mouse model of PDA suggest that mutant cells may delaminate from the pancreatic epithelium and enter circulation in the very early stages of tumorigenesis even prior to the development of an overt carcinoma [Rhim et al. 2012]. If this is true, then PDA should be considered an inherently metastatic disease for which local therapy is simply a delaying action. This also highlights the importance of identifying chemotherapeutic agents that effectively target microscopic metastases. It is notable that mutation evolution analysis based on deep sequencing of human pancreatic tumor samples has suggested a long latency period for PDA, estimating that it may take an average of 17 years for a tumor to evolve from a single common progenitor [Yachida et al. 2010]. However, a computational modeling study is consistent with the notion that PDA metastasizes early in disease [Haeno et al. 2012].
Clinical data of therapeutic efforts following resection of PDA are summarized in Table 1. These trials are consistent in demonstrating a small benefit when assessing recurrence but limited impact on long-term survival regardless of the intervention [Neoptolemos et al. 2004, 2010; Stocken et al. 2005; Oettle et al. 2007]. The modest achievements of adjuvant therapy compare poorly with the experience in other common cancers. Unfortunately PDA cells display broad and intractable resistance to chemotherapy, the subject of the remainder of this review.
A Hybrid Probabilistic Framework for Managing Systemic Risks in Human-Centric Wearables-Enabled Manufacturing
This paper proposes a novel hybrid framework, STPA-BN-PSO, designed to proactively quantify and manage systemic sociotechnical risks in wearables-enabled manufacturing. The study specifically addresses the “parameterization gap” that occurs during the design and early integration phases when empirical failure data for new technologies is scarce. The methodology integrates System-Theoretic Process Analysis (STPA) to derive hierarchical control structures, Bayesian Networks (BN) for probabilistic modeling, and Particle Swarm Optimization (PSO) to calibrate weighted conditional probability tables against expert-derived profiles. The framework is validated through three distinct Industry 5.0 case studies: sequential assembly, flexible job-shop, and disassembly for recycling. This research provides a unique contribution by positioning PSO as a calibration engine for STPA-derived structures. Unlike traditional data-driven BNs, this framework allows for path-based probabilistic quantification and predictive risk assessment before a system becomes operational, bridging the gap between qualitative systems-thinking and quantitative reliability engineering. Results demonstrate that operational vulnerability is highly context-dependent, with the flexible job-shop showing the highest baseline risk (31.5%). Criticality analysis identifies shifting risk drivers: planning quality dominates sequential assembly (ΔRisk = 0.181), while digital information quality is the primary amplifier in flexible job-shops (ΔRisk = 0.286). Sensitivity analyses reveal that risk-propagation pathways reorganize significantly based on operational layout.
Bayesian Networks, Particle Swarm Optimization, Systemic Risk, STPA, Industry 5.0, Wearables-Enabled Manufacturing
Evolution of Light-Sensitive Proteins in Optogenetic Approaches for Vision Restoration: A Comprehensive Review
Retinal degenerations, such as age-related macular degeneration and retinitis pigmentosa, present significant challenges due to genetic heterogeneity, limited therapeutic options, and the progressive loss of photoreceptors in advanced stages. These challenges are compounded by difficulties in precisely targeting residual retinal neurons and ensuring the sustained efficacy of interventions. Optogenetics offers a novel approach to vision restoration by inducing light sensitivity in residual retinal neurons through gene delivery of light-sensitive opsins. This review traces the evolution of opsins in optogenetic therapies, highlighting advancements from early research on channelrhodopsin-2 (ChR2) to engineered variants addressing key limitations.
Potential Treatment for Parkinson’s Using Investigational Cell Therapy Shows Early Promise
Learn how a stem cell-derived treatment shows potential for treating Parkinson’s disease.
Linking maternal autoantibodies to premature birth
A typical pregnancy lasts 40 weeks, but for about 1 in 10 pregnant women labor begins too soon. Premature or preterm birth is the leading cause of newborn deaths worldwide. Yet doctors have struggled to understand why preterm birth occurs — or how to predict which pregnancies are at highest risk.
Now, researchers have discovered antibodies that play a role in triggering early labor. The antibodies were present in higher levels and appeared earlier in pregnancy in women who went on to give birth to their babies before 37 weeks’ gestation compared to women who delivered their babies at term.
The research was published in Nature Immunology and could lead to both new ways of screening for preterm birth risk and new interventions to stop it.
The Number of Teeth in Your Mouth Could Be a Major Warning Sign of Dementia
We still don’t fully understand the causes of dementia, but scientists are making progress.
Most encouragingly, research suggests that almost half of dementia cases could be reduced, at least temporarily, thanks to modifiable risk factors that can help to prevent or postpone the disease from occurring.
But a new study reveals we might have been overlooking a serious risk factor for cognitive decline, and it’s been hiding right under our nose.
Scientists Discovered Something Unsettling About Your Brain Under Anesthesia
It sounds like a nightmare. The idea of anesthesia wearing off in the middle of a procedure and suddenly getting an eyeful of your own insides. Thankfully, anesthesiologists are generally very good at their jobs. When they put you under, you’re not supposed to be awake or aware of anything. But according to new research published in Nature, that doesn’t necessarily mean every part of your brain is shut down.
Scientists have assumed that general anesthesia shuts down your higher-level brain activity, the parts associated with consciousness. But a team of researchers from Baylor College of Medicine found that even while patients were fully anesthetized, individual neurons in the hippocampus were still up and running, doing all of the memorization and learning stuff that the hippocampus is supposed to do.
Using high-density Neuropixels probes implanted in seven epilepsy patients undergoing surgery, researchers were able to monitor hundreds of individual neurons while patients were unconscious. They were played a series of sounds through headphones while under anesthesia and watched how the brain responded. The sounds included podcasts, stories, and different bits of human speech.
Mouse study offers clues to a possible new way of slowing Alzheimer’s
A little-discussed gene could help the brain contain toxic protein buildup, offering researchers a promising new target.