Academy of Innovation Management

Robots in shared spaces often move in ways that are difficult for people to interpret, placing the burden on humans to adapt. High-DoF robots exhibit motion that people read as expressive, intentionally or not, making it important to understand how such cues are perceived. We present an online video study evaluating how different signaling modalities, expressive motion, lights, text, and audio, shape people’s ability to understand a quadruped robot’s upcoming navigation actions (Boston Dynamics Spot [ 4]). common scenarios, we measure how each modality influences humans’ (1) accuracy in predicting the robot’s next navigation action, (2) confidence in that prediction, and (3) trust in the robot to act safely. The study tests how expressive motions compare to explicit channels, whether aligned multimodal cues enhance interpretability, and how conflicting cues affect user confidence and trust. We contribute initial evidence on the relative effectiveness of implicit versus explicit signaling strategies.

Can innovation

- Somewhere between the rustle of leaves and the cosmic ringtone of satellites, Planet Earth is trying to hit us up—not with loud texts or angry emails, but with subtle, almost sneaky whispers. These whispers complain about droughts crashing the party uninvited, floods causing unexpected waterworks, and glaciers pulling the ultimate disappearing act. Earthrasound is my humble attempt to eavesdrop on this shy planetary gossip before it blows up into a full-blown cosmic drama. This isn’t your usual yawn-inducing climate paper stuffed with numbers and jargon that make your eyes glaze over. Nope. This is Earth’s emotional mixtape—the sad playlist of a climate that’s been working overtime to keep us alive, now stuck in the hospital bed of

Soft magnetic composites (SMCs) have found extensive application in electrical energy conversion. Enhancing the high-frequency operational efficiency and reducing the core loss of the materials are critical for improving energy conversion efficiency and minimizing energy consumption. Here, we develop a methodology to enhance the effective permeability and its frequency stability under high-frequency operation and reduce core loss, through optimized particle size distribution and improved insulation layer morphology. A Ni–Zn ferrite-phosphate coating approach is proposed. Results indicate that optimizing the particle size distribution of FeNi45 to 53–75 μm leads to a 44.3% increase in effective permeability (f = 50 kHz) and an 82.0% reduction in core loss (f = 50 kHz, Bm = 50 mT). As the serrated grain morphology and crack of the Ni–Zn ferrite layer proved insufficient for insulation, phosphoric acid with good wettability was subsequently applied over the ferrite layer, forming a continuous, complete, and dense Ni–Zn ferrite-phosphate composite insulation layer. Scanning electron microscopy analysis revealed that the phosphate effectively fills the gap and crack within the ferrite, blocking eddy current paths. With a 1 wt % phosphoric acid addition, yielding a core loss of 146.71 mW/cm3, particularly the eddy current loss decreased significantly from 386.21 mW/cm3 to 26.47 mW/cm3 (f = 50 kHz, Bm = 50 mT). Concurrently, exhibited an effective permeability of 82.85 (f = 50 kHz) and a DC bias performance of 53% (f = 50 kHz, HDC = 7.96 × 103 A/m (1 Oe ≈ 79.6 A/m)). These findings provide insights and practical methodologies for optimizing coating strategies in SMCs, which is beneficial for enhancing their high-frequency working efficiency in electronic applications and reducing energy consumption.

Dementia, a chronic neurological disorder characterized by memory loss and impaired cognitive ability, has affected tens of millions of people globally and projections estimate this number to rise in the coming decade. Despite its widespread impact, dementia remains one of many diseases with no true cure or definitive method of diagnosis. This study aims to explore the question of how artificial neural networks can be used to predict dementia. Analyzing current research on neural networks for disease diagnosis highlights a notable gap, known as the "black box conundrum," indicating the challenge of tracing steps leading to a given output. Another gap in the literature is the absence of comparative data on factors influencing successful neural network algorithms. Conducting a comprehensive cross-continental comparative analysis across North America, Asia, and Europe, and utilizing an experimental design with the UCI ML Repository’s Parkinson’s Database, this study specifically aims to fill the identified gaps. The findings reveal key elements for successful neural networks: a data sample exceeding 100, clinically intelligible data values, and a backpropagation model. In the experimental phase, a comparison between a backpropagation model and logistic regression, paired with Shapley value analysis, elucidated a 94.87% accuracy for the former, surpassing the latter's 92.3%. These findings extend beyond dementia, providing valuable insights for neural network applications in all healthcare settings. Future research endeavors should focus on refining and optimizing neural networks with the ultimate goal of achieving 100% accuracy and maximized efficiency.

Central Sterile Services Department (CSSD) has an essential role in receiving medical devices with the transmission of medical-related pathogens.During the last few years, several innovative instruments, pre-cleaning, and disinfecting products have been brought to market in Thailand.In this study, commercially available product effects of instruments for precleaning removal of blood stains were compared using 2 different application methods.Disinfection testing has been sent to a standardized laboratory in Thailand.The aim of this study was to determine the effectiveness of pre-cleaning and disinfection sprays against the microbial burden and blood stains remover on medical devices containing extracts from Thai agricultural products simultaneously cleaning, disinfecting, and removing blood stains on medical devices.The multi-center Central Sterile Supply Department was an evaluation of two methods for assessing prepares the medical instruments after the surgery operation.Pre-cleaning-disinfecting sprays based on mangosteen extract, Garcinia mangostana (L.), Syzygium aromaticum (L.) Merrill.& Perry extracts with Ethoxylated Alcohol active ingredients were tested for their efficacy in removing the microbial burden and blood stains.The contact time for the removed blood stains was tested by a simple visual and blood stains test strip at different times: 1, 2,3, 4, and 5 minutes.Pre-cleaning-disinfecting spray products for all bacteria and viruses reduced the microbial count with a log10 reduction >5 with a 10-minute exposure time.All fungi reduced the microbial count with a log10 reduction >5 with a 10-minute exposure time except for a spray based on natural extracts and Ethoxylated Alcohol.A significant difference in 2 minutes (P ≤ .005)was observed using cleaning indicators measurements.The findings of this study show that a readyto-use pre-cleaning-disinfecting spray is extremely important in reducing the possible transmission of all microorganisms and removing blood stains on Medical Devices

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Aim.To find out the relationship of particular blood cells (BC) and their ratios with lipid metabolism in patients with essential hypertension (EH), with (EH-1) and without kinesiotherapy (EH-2).Material and methods.The study included 30 healthy women (control group) and 72 women with EH, which were divided into 2 groups: group 1 (EH-1) — 37 women with stage II (target organ damage classification) hypertension who receive antihypertensive therapy; group 2 (EH-2) — 35 women who underwent antihypertensive therapy and kinesiotherapy (3-4 courses for 2-3 years).Results.Correlation analysis revealed that the studied relationships in healthy women, EH-1 and EH-2 women can be either direct or inverse. In healthy women, we observed negative association of monocytes (MON) with atherogenic index (AI), a positive association of basophils (BAS) with high density lipoproteins (HDL) and its negative association with low density lipoproteins (LDL), very low density lipoproteins (VLDL) and AI and red blood cells/platelets (RBC/PLT ratio) with HDL. Negative associations of lymphocytes (LYM)/BAS ratio with triglyceride (TG) and eosinophils (EOS)/BAS ratio with LDL were also detected. Patients with EH-1 had a direct relationship between LYM/EOS ratio and TG. In patients with EH-2, a negative relationship was found between PLT and HDL, MON and HDL, neutrophils (NEU)/MON ratio and TAG, and a positive — between white blood cells (WBC), NEU, MON and AI, LYM and TAG, MON and TAG, as well as AI.Conclusion.The obtained data indicate that all BC and their ratios in women with/without EH and with/without kinesiotherapy affect the lipid metabolism.

Objective. To identify the effects of youth and aging proteins — GDF11, CCL11, GDF15, JAM-A on cardiohemodynamics in healthy and hypertensive women. Design and methods. The study involved 102 women. The control group consisted of 30 healthy women. Hypertensives were divided into 2 groups. The first (HTN-1) included 37 women with stage II hypertension (HTN) who received antihypertensive therapy. The second group (HTN-2) included patients who received antihypertensive drugs and regularly underwent kinesitherapy for 2-3 years. The enzyme immunoassay (ELISA) method was performed to determine the levels of GDF11, GDF15, JAM-A and CCL11 proteins. All subjects underwent echocardiography and dynamic light scattering (DLS). Results. In healthy women, we found a positive correlation between the GDF15 proteins and JAM-A and blood pressure (BP). The GDF11/GDF15 ratio negatively correlated with BP level. In HTN-1 group, a negative relationship was found between the GDF15 level and the mean and pulse systolic pressure. In HTN-2 group, a negative relationship was found between CCL11 protein and pulse pressure, as well as the GDF15/CCL11 ratio and diastolic and positive correlation with the pulse pressure. In healthy subjects, no significant correlations were found between the studied proteins and cardiovascular functions, but GDF11/CCL11 ratio positively correlated with echocardiographic indices: the final systolic and impact volumes. In HTN-2 group, a positive relationship was found between the GDF11/GDF15 ratio and the minute volume, as well as GDF15/CCL11 and systolic shortening. The absolute values of hemodynamic indices (HI) in HTN-1 group were lower than in the control group, indicating a violation of the microcirculation with the trend towards the higher velocities. In HTN-2 group, hemodynamic parameters were close to those in the control group. In healthy individuals, HTN-1 and HTN-2 groups, dozens correlations were found between the studied proteins, their ratios, and various hemodynamic and oscillatory indices. Conclusions. The levels of the “youth protein” GDF11 and the “aging proteins” GDF15, CCL11, JAM-A, as well as their ratios, exhibit positive and negative relationships with BP and cardiohemodynamic functions. At the same time, the effect of GDF11 and its predominance over CCL11, GDF15 and JAM-A is mostly adaptive.