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Background There is still uncertainty on whether ionizing radiation from CT scans can increase the risks of cancer. This study aimed to identify the association of cumulative ionizing radiation from CT scans with pertaining cancer risks in adults. Methods Five databases were searched from their inception to November 15, 2020. Observational studies reporting cancer risks from CT scans in adults were included. The main outcome included quantified cancer risks as cancer case numbers in exposed/unexposed adult participants with unified converted measures to odds ratio (OR) for relative risk, hazard ratio. Global background radiation (2.4 mSv per year) was used as control for lifetime attribution risk (LAR), with the same period from incubation after exposure until survival to 100 years. Results 25 studies were included with a sum of 111,649,943 participants (mean age: 45.37 years, 83.4% women), comprising 2,049,943 actual participants from 6 studies with an average follow-up period as 30.1 years (range, 5 to 80 years); 109,600,000 participants from 19 studies using LAR. The cancer risks for adults following CT scans were inordinately increased (LAR adults, OR, 10.00 [95% CI, 5.87 to 17.05]; actual adults, OR, 1.17 [95%CI, 0.89 to 1.55]; combined, OR, 5.89 [95%CI, 3.46 to 10.35]). Moreover, cancer risks elevated with increase of radiation dose (OR, 33.31 [95% CI, 21.33 to 52.02]), and multiple CT scan sites (OR, 14.08 [95% CI, 6.60 to 30.05]). The risk of solid malignancy was higher than leukemia. Notably, there were no significant differences for age, gender, country, continent, study quality and studying time phrases. Conclusions Based on 111.6 million adult participants from 3 continents (Asia, Europe and America), this meta-analysis identifies an inordinately increase in cancer risks from CT scans for adults. Moreover, the cancer risks were positively correlated with radiation dose and CT sites. The meta-analysis highlights the awareness of potential cancer risks of CT scans as well as more reasonable methodology to quantify cancer risks in terms of life expectancy as 100 years for LAR. Prospero trial registration number CRD42019133487.

Lateral epicondylitis, also termed as “tennis elbow,” is the most common cause of elbow pain and dysfunction, mainly resulting from repetitive gripping or wrist extension during various activities. The exact pathogenesis remains largely elusive with putative tendinosis, a symptomatic degenerative process of the local tendon. It is usually diagnosed by clinical examinations. Sometimes, additional imaging is required for a specific differential diagnosis. Although most cases can be self-healing, the optimal treatment strategy for chronic lateral epicondylitis remains controversial. This article presents a landscape of emerging evidence on lateral epicondylitis and focuses on the pathogenesis, diagnosis, and management, shedding light on the understandings and treatment for healthcare professionals.

The safety and efficacy of rotational atherectomy (RA) in patients with acute coronary syndrome (ACS) treated with different rotational speeds remain unclear. This was an observational retrospective registry study. Between February 2017 and January 2022, a total of 283 patients with ACS were treated with RA. The patients were divided into 2 groups: the low-speed group (130,000 to 150,000 rotations/min [rpm],182 cases) and the high-speed group (160,000 to 220,000 rpm, 101 cases) according to the maximum RA speed. The outcomes analyzed were procedural complications; incidence of heart failure, stent thrombosis, and cardiac death during hospitalization; and 30-day major cardiovascular and cerebrovascular events. Patients in the low-speed RA group had a higher incidence of vasospasm during RA (15.4% vs 6.9%, p = 0.040), whereas the incidence of slow blood flow was higher in the high-speed RA group (16.5% vs 27.7%, p = 0.031). There was no significant difference in other complications or in 30-day major cardiovascular and cerebrovascular events between the 2 groups. Moreover, logistic regression analysis identified rotational speed (160,000 to 220,000 rpm) as a predictor of slow flow during RA (odds ratio 1.900, 95% confidence interval 1.006 to 3.588, p = 0.048). For every 10,000-rpm increase in rotational speed, the risk of slow flow increased by 27% (odds ratio 1.273, 95% confidence interval 1.047 to 1.547, p = 0.015). In conclusion, patients with ACS treated with a lower RA speed (130,000 to 150,000 rpm) had a higher risk of vasospasm, whereas those treated with higher speeds (160,000 to 220,000 rpm) had a higher incidence of slow flow. High rotational speed (160,000 to 220,000 rpm) is an independent risk factor for slow flow during RA in patients with ACS.

The internet of things (IoT) and cloud computing are two technologies which have recently changed both the academia and industry and impacted our daily lives in different ways. However, despite their impact, both technologies have their shortcomings. Though being cheap and convenient, cloud services consume a huge amount of network bandwidth. Furthermore, the physical distance between data source(s) and the data centre makes delays a frequent problem in cloud computing infrastructures. Fog computing has been proposed as a distributed service computing model that provides a solution to these limitations. It is based on a para-virtualized architecture that fully utilizes the computing functions of terminal devices and the advantages of local proximity processing. This paper proposes a multi-layer IoT-based fog computing model called IoT-FCM, which uses a genetic algorithm for resource allocation between the terminal layer and fog layer and a multi-sink version of the least interference beaconing protocol (LIBP) called least interference multi-sink protocol (LIMP) to enhance the fault-tolerance/robustness and reduce energy consumption of a terminal layer. Simulation results show that compared to the popular max–min and fog-oriented max–min, IoT-FCM performs better by reducing the distance between terminals and fog nodes by at least 38% and reducing energy consumed by an average of 150 KWh while being at par with the other algorithms in terms of delay for high number of tasks.

Cardiovascular diseases claim over 10 million lives annually, highlighting the critical need for long-term monitoring and early detection of cardiac abnormalities. Existing techniques like electrocardiograms (ECG) and Holter are accurate but suffer from discomfort caused by body-attached electrodes. While wearable devices using photoplethysmography offer more convenience, they sacrifice accuracy and are susceptible to environmental interference. Here we present a radio frequency (RF)-based (60 to 64 GHz) sensing system that monitors long-term heart rate variability (HRV) with clinical-grade accuracy. Our system successfully overcomes the orders-larger interference from respiration motion in far-field conditions without any model training. By identifying previously undiscovered frequency ranges (beyond 10-order heartbeat harmonics) where heartbeat information predominates over other motions, we generate prominent heartbeat patterns with harmonics typically considered detrimental. Extensive evaluations, including a large-scale outpatient setting involving 6,222 eligible participants and a long-term daily life scenario, where sleep data was collected over 5 separate random nights over two months and a continuous 21-night period, demonstrate that our system can monitor HRV and identify abnormalities with comparable performance to clinical-grade ECG-based systems. This RF-based HRV sensing system has the potential to support active self-assessment and revolutionize medical prevention with long-term and precise health monitoring. Cardiovascular diseases, underscore an urgent need for long-term cardiac monitoring and early detection of abnormalities. Here, the authors present a RF-based sensing system that monitors long-term heart rate variability with clinical-grade accuracy.

Organic phosphorescence materials have received wide attention in bioimaging for bio‐low toxicity and large Stokes. Herein, a design strategy to achieve near‐infrared (NIR) excitation and emission of organic room‐temperature phosphorescence through two‐stage confinement supramolecular assembly is presented. Via supramolecular macrocyclic confinement, the host–guest complexes exhibit phosphorescence with two‐photon absorption (excitation wavelength up to 890 nm) and NIR emission (emission wavelength up to 800 nm) in aqueous solution, and further nano‐confinement assembly significantly strengthens phosphorescence. Moreover, the nano‐assemblies possess color‐tunable luminescence spanning from the visible to NIR regions under different excitation wavelengths. Intriguingly, the prepared water‐soluble assemblies maintain two‐photon absorption and multicolor luminescence in cells or vivo. A multi‐stage assembly strategy involving macrocyclic confinement and nano‐confinement is reported, which induces and enhances guests’ phosphorescence with two‐photon absorption and NIR emission. Moreover, the assemblies possess excitation‐dependent emission properties, in which luminescence covers the visible and NIR regions under different excitation wavelengths.

Some studies have shown that gut microbiota along with its metabolites is closely associated with diabetic mellitus (DM). In this study we explored the relationship between gut microbiota and kidney injuries of early diabetic nephropathy (DN) and its underlying mechanisms. Male SD rats were intraperitoneally injected with streptozotocin to induce DM. DM rats were orally administered compound broad-spectrum antibiotics for 8 weeks. After the rats were sacrificed, their blood, urine, feces, and renal tissues were harvested for analyses. We found that compared with the control rats, DM rats had abnormal intestinal microflora, increased plasma acetate levels, increased proteinuria, thickened glomerular basement membrane, and podocyte foot process effacement in the kidneys. Furthermore, the protein levels of angiotensin II, angiotensin-converting enzyme, and angiotensin II type 1 receptor in the kidneys of DM rats were significantly increased. Administration of broad-spectrum antibiotics in DM rats not only completely killed most intestinal microflora, but also significantly lowered the plasma acetate levels, inhibited intrarenal RAS activation, and attenuated kidney damage. Finally, we showed that plasma acetate levels were positively correlated with intrarenal angiotensin II protein expression ( r  = 0.969, P  < 0.001). In conclusion, excessive acetate produced by disturbed gut microbiota might be involved in the kidney injuries of early DN through activating intrarenal RAS.

The magnetic manipulation of droplets is one of the emerging magnetofluidic technologies that integrate multiple disciplines, such as electromagnetics, fluid mechanics and so on. The directly driven droplets are mainly composed of ferrofluid or liquid metal. This kind of magnetically induced droplet manipulation provides a remote, wireless and programmable approach beneficial for research and engineering applications, such as drug synthesis, biochemistry, sample preparation in life sciences, biomedicine, tissue engineering, etc. Based on the significant growth in the study of magneto droplet handling achieved over the past decades, further and more profound explorations in this field gained impetus, raising concentrations on the construction of a comprehensive working mechanism and the commercialization of this technology. Current challenges faced are not limited to the design and fabrication of the magnetic field, the material, the acquisition of precise and stable droplet performance, other constraints in processing speed and so on. The rotational devices or systems could give rise to additional issues on bulky appearance, high cost, low reliability, etc. Various magnetically introduced droplet behaviors, such as deformation, displacement, rotation, levitation, splitting and fusion, are mainly introduced in this work, involving the basic theory, functions and working principles.

Coal and gas outburst is a frequent dynamic disaster during underground coal mining activities. After about 150 years of exploration, the mechanisms of outbursts remain unclear to date. Studies on outburst mechanisms worldwide focused on the physicochemical and mechanical properties of outburst-prone coal, laboratory-scale outburst experiments and numerical modeling, mine-site investigations, and doctrines of outburst mechanisms. Outburst mechanisms are divided into two categories: single-factor and multi-factor mechanisms. The multi-factor mechanism is widely accepted, but all statistical phenomena during a single outburst cannot be explained using present knowledge. Additional topics about outburst mechanisms are proposed by summarizing the phenomena that need precise explanation. The most appealing research is the microscopic process of the interaction between coal and gas. Modern physical-chemical methods can help characterize the natural properties of outburst-prone coal. Outburst experiments can compensate for the deficiency of first-hand observation at the scene. Restoring the original outburst scene by constructing a geomechanical model or numerical model and reproducing the entire outburst process based on mining environment conditions, including stratigraphic distribution, gas occurrence, and geological structure, are important. Future studies can explore outburst mechanisms at the microscale.

Responsive peptide hydrogels are advanced platforms for wound management because they can dynamically interact with the wound microenvironment. These smart materials respond to specific biochemical cues such as pH, reactive oxygen species (ROS), matrix metalloproteinases (MMPs), and glucose (Glu), enabling precise control over drug release, enhancement of cellular repair, and suppression of infection. By adapting to pathological conditions like elevated pH, persistent oxidative stress, and enzymatic imbalances, peptide hydrogels promote efficient healing in chronic wounds. Recent advances have expanded their responsiveness to include physical stimuli like temperature, light, and magnetic fields, broadening their applicability in deep and complex wound treatments. Despite promising outcomes, challenges remain in optimizing biocompatibility, biodegradability, and stimulus precision. Future efforts will focus on developing multifunctional and personalized hydrogel systems to achieve smarter, minimally invasive therapeutic strategies for wound care and beyond.