Miracle-dz/UniFAR-FTUs huggingface dataset:
A Fully Wireless and Batteryless Localization System With 50 Micrometre Motion Detection Capability and Adaptive Transmitter Power Control for Point-of-Care Biomedical Applications

Localization has varied applications in biomedicine, such as wireless capsule endoscopy (WCE), detection of cancerous tissue, drug delivery, robotic surgeries, and brain mapping. Currently, most localization systems are battery-powered and suffer from issues regarding battery leakage and limited battery life, resulting in potential health hazards and inconveniences when using them for continuous health monitoring applications. This article proposes an entirely wireless and battery-less 2D localization system consisting of an integrated circuit (IC) that is wirelessly powered at a distance of 4 cm by a 40.68 MHz radio frequency (RF) power of only 2 W. The proposed localization system wirelessly transmits a locked sub-harmonic 13.56 MHz signal generated from the wirelessly received 40.68 MHz RF power signal, eliminating the need for a power-hungry oscillator. Additionally, the system, having a measurement latency of 11.3 ms, has also been verified to sense motion as small as 50 $\mu \text{m}$ as well as measure the rate of motion up to 10 beats per minute, therefore extending its application to the detection of physiological motions such as diaphragm motion during breathing. The localizer has a small form factor of 17 mm × 12 mm × 0.2 mm and consumes an average power of 6 $\mu$W. Ex vivo measurements using the localizer inside the porcine intestine demonstrate a localization accuracy of less than 5 mm.
Effects of home-based computerized cognitive training and tai chi exercise on cognitive functions in older adults with mild cognitive impairment

Abstract Background A randomized trial was conducted to investigate the effects of computerized cognitive training (CCT) and tai chi exercise (TCE) vs. health education (HE) on cognitive functions in 189 older adults with mild cognitive impairment (MCI). Methods Cognitive functions were assessed by the five-domain Mattis Dementia Rating Scale (MDRS) (attention, initiation/perseveration, construction, conceptualization, and memory) and the modified Telephone Interview of Cognitive Status (TICS-M), while the timed up and go (TUG), Tinetti’s balance, activities of daily living (ADLs), and Activities-specific Balance Confidence (ABC) were also evaluated. Each intervention was delivered once a week for 6 months. All outcomes were followed up at 6 and 12 months of the study. Results Compared to HE, CCT increased scores on the MDRS’s total, initiation/perseveration, construction, and conceptualization domains and on the TICS-M at 6 months and those on the MDRS’s total, attention, construction, conceptualization, and memory domains and on the TICS-M at 12 months; TCE increased scores on the MDRS’s total and construction domains and on the TICS-M at 6 months and those on the MDRS’s total, attention, initiation/perseveration, and conceptualization domains and on the TICS-M at 12 months. Moreover, CCT improved the TUG at 6 and 12 months and Tinetti’s balance at 12 months, and TCE improved the TUG at 6 and 12 months, Tinetti’s balance, and ABC at 6 and 12 months, and ADLs at 12 months. Conclusions The effects of CCT and TCE on improving global cognition and certain cognitive domains for older MCI adults may have been small but they lasted for at least 12 months.
Progress in the Optical Sensing of Cardiac Biomarkers

Biomarkers play key roles in the diagnosis, risk assessment, treatment and supervision of cardiovascular diseases (CVD). Optical biosensors and assays are valuable analytical tools answering the need for fast and reliable measurements of biomarker levels. This review presents a survey of recent literature with a focus on the past 5 years. The data indicate continuing trends towards multiplexed, simpler, cheaper, faster and innovative sensing while newer tendencies concern minimizing the sample volume or using alternative sampling matrices such as saliva for less invasive assays. Utilizing the enzyme-mimicking activity of nanomaterials gained ground in comparison to their more traditional roles as signaling probes, immobilization supports for biomolecules and for signal amplification. The growing use of aptamers as replacements for antibodies prompted emerging applications of DNA amplification and editing techniques. Optical biosensors and assays were tested with larger sets of clinical samples and compared with the current standard methods. The ambitious goals on the horizon for CVD testing include the discovery and determination of relevant biomarkers with the help of artificial intelligence, more stable specific recognition elements for biomarkers and fast, cheap readers and disposable tests to facilitate rapid testing at home. As the field is progressing at an impressive pace, the opportunities for biosensors in the optical sensing of CVD biomarkers remain significant.
Progress and scientific results in the TCV tokamak

The TCV tokamak has the dual mission of supporting ITER and exploring alternative paths to a fusion reactor. Its most unique tools are a 4.5 MW electron cyclotron resonance heating system with seven real-time controllable launchers and a plasma control system with 16 independent shaping coils. Recent upgrades in temperature, density and rotation diagnostics are being followed by new turbulence and suprathermal electron diagnostics, and a new digital real-time network has been commissioned. The shape control flexibility of TCV has enabled the generation and control of the first ‘snowflake’ divertor, characterized by a null point in which both the poloidal field and its gradient vanish. The predicted increases in flux expansion and edge magnetic shear have been verified experimentally, and stable EC-heated snowflake ELMy H-modes have been obtained and characterized. ECCD modulation techniques have been used to study the role of the current profile in energy transport, and simulations reproduce the results robustly. The relation between impurity and electron density gradients in L-mode is explained in terms of neoclassical and turbulent drives. Studies of torqueless plasma rotation have continued, highlighting the important role of MHD and sawtooth relaxations in determining the rotation profiles. A newly predicted mechanism for turbulent momentum transport associated with up–down plasma asymmetry has been verified in TCV. Sawtooth period control, neoclassical tearing mode control and soft x-ray emission profile control have been demonstrated in TCV using the new digital control hardware, as a step on the way to more complex applications.
Flexible and Wearable Biosensors for Monitoring Health Conditions

Flexible and wearable biosensors have received tremendous attention over the past decade owing to their great potential applications in the field of health and medicine. Wearable biosensors serve as an ideal platform for real-time and continuous health monitoring, which exhibit unique properties such as self-powered, lightweight, low cost, high flexibility, detection convenience, and great conformability. This review introduces the recent research progress in wearable biosensors. First of all, the biological fluids often detected by wearable biosensors are proposed. Then, the existing micro-nanofabrication technologies and basic characteristics of wearable biosensors are summarized. Then, their application manners and information processing are also highlighted in the paper. Massive cutting-edge research examples are introduced such as wearable physiological pressure sensors, wearable sweat sensors, and wearable self-powered biosensors. As a significant content, the detection mechanism of these sensors was detailed with examples to help readers understand this area. Finally, the current challenges and future perspectives are proposed to push this research area forward and expand practical applications in the future.
Phase Retrieval With One or Two Diffraction Patterns by Alternating Projections of the Null Vector

Two versions of alternating projection (AP), the parallel alternating projection (PAP) and the serial alternating projection (SAP), are proposed to solve phase retrieval with at most two coded diffraction patterns. The proofs of geometric convergence are given with sharp bounds on the rates of convergence in terms of a spectral gap condition. To compensate for the local nature of convergence, the null vector method is proposed for initialization and proved to produce asymptotically accurate initialization for the Gaussian case. Extensive numerical experiments are performed to show that the null vector method produces more accurate initialization than the spectral vector method and that PAP/SAP converge faster to more accurate solutions than other iterative schemes for non-convex optimization such as the Wirtinger flow. Moreover, SAP converges still faster than PAP. In practice AP and the null vector method together produce globally convergent iterates to the true object.
Longitudinal gut microbiome analyses and blooms of pathogenic strains during lupus disease flares

Objective Whereas genetic susceptibility for systemic lupus erythematosus (SLE) has been well explored, the triggers for clinical disease flares remain elusive. To investigate relationships between microbiota community resilience and disease activity, we performed the first longitudinal analyses of lupus gut-microbiota communities. Methods In an observational study, taxononomic analyses, including multivariate analysis of ß-diversity, assessed time-dependent alterations in faecal communities from patients and healthy controls. From gut blooms, strains were isolated, with genomes and associated glycans analysed. Results Multivariate analyses documented that, unlike healthy controls, significant temporal community-wide ecological microbiota instability was common in SLE patients, and transient intestinal growth spikes of several pathogenic species were documented. Expansions of only the anaerobic commensal, Ruminococcus (blautia) gnavus (RG) occurred at times of high-disease activity, and were detected in almost half of patients during lupus nephritis (LN) disease flares. Whole genome sequence analysis of RG strains isolated during these flares documented 34 genes postulated to aid adaptation and expansion within a host with an inflammatory condition. Yet, the most specific feature of strains found during lupus flares was the common expression of a novel type of cell membrane-associated lipoglycan. These lipoglycans share conserved structural features documented by mass spectroscopy, and highly immunogenic repetitive antigenic-determinants, recognised by high-level serum IgG2 antibodies, that spontaneously arose, concurrent with RG blooms and lupus flares. Conclusions Our findings rationalise how blooms of the RG pathobiont may be common drivers of clinical flares of often remitting-relapsing lupus disease, and highlight the potential pathogenic properties of specific strains isolated from active LN patients.
Zebrafish MAP2K7 Simultaneously Enhances Host IRF7 Stability and Degrades Spring Viremia of Carp Virus P Protein via Ubiquitination Pathway

Normally, during viral infection, host antiviral factors individually modulate the host immune response or antagonize viral components to defense infection. In the present study, we report that zebrafish MAP2K7 plays a crucial positive role in the host antiviral process. ABSTRACT During viral infection, host defensive proteins either enhance the host immune response or antagonize viral components directly. In this study, we report on the following two mechanisms employed by zebrafish mitogen-activated protein kinase kinase 7 (MAP2K7) to protect the host during spring viremia of carp virus (SVCV) infection: stabilization of host IRF7 and degradation of SVCV P protein. In vivo, map2k7+/− (map2k7−/− is a lethal mutation) zebrafish showed a higher lethality, more pronounced tissue damage, and more viral proteins in major immune organs than the controls. At the cellular level, overexpression of map2k7 significantly enhanced host cell antiviral capacity, and viral replication and proliferation were significantly suppressed. Additionally, MAP2K7 interacted with the C terminus of IRF7 and stabilized IRF7 by increasing K63-linked polyubiquitination. On the other hand, during MAP2K7 overexpression, SVCV P proteins were significantly decreased. Further analysis demonstrated that SVCV P protein was degraded by the ubiquitin-proteasome pathway, as the attenuation of K63-linked polyubiquitination was mediated by MAP2K7. Furthermore, the deubiquitinase USP7 was indispensable in P protein degradation. These results confirm the dual functions of MAP2K7 during viral infection. IMPORTANCE Normally, during viral infection, host antiviral factors individually modulate the host immune response or antagonize viral components to defense infection. In the present study, we report that zebrafish MAP2K7 plays a crucial positive role in the host antiviral process. According to the weaker antiviral capacity of map2k7+/− zebrafish than that of the control, we find that MAP2K7 reduces host lethality through two pathways, as follows: enhancing K63-linked polyubiquitination to promote host IRF7 stability and attenuating K63-mediated polyubiquitination to degrade the SVCV P protein. These two mechanisms of MAP2K7 reveal a special antiviral response in lower vertebrates.
The Impact of Virtual Humans on Psychosomatic Medicine

ABSTRACT Objective Virtual humans are likely to enhance the delivery of health care over the next decade. Virtual humans are artificially intelligent computer agents with hyperrealistic, autonomously animated embodiments based on affective computing techniques. Virtual humans could be programmed to screen for health conditions, triage patients, and deliver health interventions, with appropriate facial expressions and body gestures, functioning as a supplement to human care. This article provides a perspective on the implications of virtual humans for behavioral and psychosomatic medicine, and health psychology. Methods A narrative review was conducted to integrate observations and findings from research on virtual humans from 91 articles in this multidisciplinary area. Results Virtual humans can be used for multimodal behavior analysis of patients, individualized tailoring of interventions, and detection of changes of psychological and behavioral measures over time. Virtual humans can also pair the scalability of a website with the interactivity and relational skills of a human tele-therapist. Research is beginning to show the acceptability, feasibility, and preliminary effectiveness of virtual humans in a range of populations. Virtual humans can be easily tailored in terms of their appearance, voice, and language, and may be adapted to fit the characteristics of a patient population or hard-to-reach groups. If co-designed with these communities, virtual humans may help to promote health care engagement and improve outcomes. Conclusions Virtual humans can engage and motivate patients, and deliver personalized psychological and behavioral health care. This article provides an overview of the potential impact of virtual humans on psychosomatic medicine and discusses ethical implications.
A Novel Urine Test Biosensor Platform for Early Lung Cancer Detection

Lung cancer is the leading cause of cancer-related mortality worldwide. Early detection is essential to achieving a better outcome and prognosis. Volatile organic compounds (VOCs) reflect alterations in the pathophysiology and body metabolism processes, as shown in various types of cancers. The biosensor platform (BSP) urine test uses animals’ unique, proficient, and accurate ability to scent lung cancer VOCs. The BSP is a testing platform for the binary (negative/positive) recognition of the signature VOCs of lung cancer by trained and qualified Long–Evans rats as biosensors (BSs). The results of the current double-blind study show high accuracy in lung cancer VOC recognition, with 93% sensitivity and 91% specificity. The BSP test is safe, rapid, objective and can be performed repetitively, enabling periodic cancer monitoring as well as an aid to existing diagnostic methods. The future implementation of such urine tests as routine screening and monitoring tools has the potential to significantly increase detection rate as well as curability rates with lower healthcare expenditure. This paper offers a first instructive clinical platform utilizing VOC’s in urine for detection of lung cancer using the innovative BSP to deal with the pressing need for an early lung cancer detection test tool.
Impact of trophoectoderm biopsy for preimplantation genetic testing on serum β-hCG levels, time of delivery and birthweight following frozen embryo transfer cycles

Abstract Aim: This study investigated whether trophoectoderm (TE) biopsy adversely impacts serum β-human chorionic gonadotropin (hCG) level on the 15th day of embryo transfer (ET), delivery week and birthweight, between biopsied and unbiopsied embryo groups, in a cohort of women who delivered a singleton baby, following frozen–thawed ET. Methods: All women having had a live birth after blastocyst ETs following frozen ET cycles with preimplantation genetic testing (PGT) were included. A control group was selected among women who had a live birth following single frozen blastocyst transfer without PGT-A at the same period in our clinic Results: One hundred fifteen and 173 cycles with- and without-PGT, respectively, were included. Serum β-hCG level on the 15th day after ET was comparable between the groups (p = .336). Average birthweight of the babies born following biopsied embryos were significantly lower (3200 vs. 3380; p = .027). Women who received trophectoderm biopsied embryos had a significantly higher probability of having a baby weighing ≤1500 g and 1500–2500 g (p = .022) or ≤2500 g (p = .008). Proportion of preterm delivery was significantly higher in the biopsy group (p = .023). However, after adjusting for potential covariates, trophectoderm biopsy did not seem to increase the risk of preterm birth (OR 1.525; 95% CI, 0,644–3.611; p = .338) Conclusions: TE biopsy does not seem to impact serum β-hCG level on the 15th day after ET. Average birthweight is lower when a biopsied embryo was transferred. After adjusting for potential covariates, trophectoderm biopsy does not seem to increase the risk of preterm birth
Aberrant DNA N6‐methyladenine incorporation via adenylate kinase 1 is suppressed by ADAL deaminase‐dependent 2′‐deoxynucleotide pool sanitation

Intracellular decay of N6‐methyladenine (m6A)‐containing RNA potentially induces aberrant N6‐methyl‐2′‐adenine (6mdA) misincorporation into DNA. Biophysically, misincorporated 6mdA may destabilize the DNA duplex in a manner similar to bona fide methylated 6mdA DNA, thereby affecting DNA replication and transcription. Utilizing heavy stable isotope labeling and ultrasensitive UHPLC–MS/MS assay, we demonstrate that intracellular m6A‐RNA decay does not generate free 6mdA species, nor lead to any misincorporated DNA 6mdA in most mammalian cell lines tested, unveiling the existence of a sanitation mechanism that prevents 6mdA misincorporation. Depletion of deaminase ADAL increases the levels of free 6mdA species, concomitant with the presence of DNA‐misincorporated 6mdA resulting from intracellular RNA m6A decay, suggesting that ADAL catabolizes 6mdAMP in vivo. Furthermore, we show that the overexpression of adenylate kinase 1 (AK1) promotes 6mdA misincorporation, while AK1 knockdown diminishes 6mdA incorporation, in ADAL‐deficient cells. We conclude that ADAL together with other factors (such as MTH1) contributes to 2′‐deoxynucleotide pool sanitation in most cells but compromised sanitation (e.g., in NIH3T3 cells) and increased AK1 expression may facilitate aberrant 6mdA incorporation. This sanitation mechanism may provide a framework for the maintenance of the epigenetic 6mdA landscape.
Adjuvant chemotherapy may be unnecessary for ypT0-2N0 gastric cancer patients after neoadjuvant chemotherapy and curative gastrectomy

Department of Pancreatic and Gastric Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China; Department of General Surgery, Department of Gastrointestinal Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China.
Seminonlinear spectral unmixing using a neural network-based forward modeling

Abstract. Spectral unmixing is an important procedure to exploit relevant information from remotely sensed hyperspectral images. Each pixel spectrum is unmixed to some pure constitutions, endmembers, and their fractional values and abundances. The aim of this study is to improve neural network (NN)-based unmixing methods, which consist of linearly extracting endmembers, and nonlinearly estimating of abundances. In this seminonlinear method, we use fractional endmembers as inputs and pixel spectrum as output in a multilayer perceptron. Two types of samples are used as training data: (1) the most similar samples to each endmember (core of class) and (2) the most dissimilar samples to all endmembers (border of classes). After training of the network, an optimization step is proposed to model pixel spectrum forwardly. This step starts with initial abundances and optimizes them to obtain a desired pixel spectrum. Application of this method on Cuprite data shows a promising reconstructed image with an average root-mean-square error (RMSE) value of 0.0084. To evaluate the presented algorithm, it is compared with one linear and two nonlinear unmixing methods. The average RMSE values and study of error distribution showed that the proposed method can be accounted as a better selection.
Respiratory Rate Estimation during Walking and Running Using Breathing Sounds Recorded with a Microphone

Emerging evidence suggests that respiratory frequency (fR) is a valid marker of physical effort. This has stimulated interest in developing devices that allow athletes and exercise practitioners to monitor this vital sign. The numerous technical challenges posed by breathing monitoring in sporting scenarios (e.g., motion artifacts) require careful consideration of the variety of sensors potentially suitable for this purpose. Despite being less prone to motion artifacts than other sensors (e.g., strain sensors), microphone sensors have received limited attention so far. This paper proposes the use of a microphone embedded in a facemask for estimating fR from breath sounds during walking and running. fR was estimated in the time domain as the time elapsed between consecutive exhalation events retrieved from breathing sounds every 30 s. Data were collected from ten healthy subjects (both males and females) at rest and during walking (at 3 km/h and 6 km/h) and running (at 9 km/h and 12 km/h) activities. The reference respiratory signal was recorded with an orifice flowmeter. The mean absolute error (MAE), the mean of differences (MOD), and the limits of agreements (LOAs) were computed separately for each condition. Relatively good agreement was found between the proposed system and the reference system, with MAE and MOD values increasing with the increase in exercise intensity and ambient noise up to a maximum of 3.8 bpm (breaths per minute) and −2.0 bpm, respectively, during running at 12 km/h. When considering all the conditions together, we found an MAE of 1.7 bpm and an MOD ± LOAs of −0.24 ± 5.07 bpm. These findings suggest that microphone sensors can be considered among the suitable options for estimating fR during exercise.