Miracle-dz/UniFAR-FTUs huggingface dataset:
Facile Construction of Porous ZnMn2O4 Hollow Micro-Rods as Advanced Anode Material for Lithium Ion Batteries

Spinel ZnMn2O4 is considered a promising anode material for high-capacity Li-ion batteries due to their higher theoretical capacity than commercial graphite anode. However, the insufficient cycling and rate properties seriously limit its practical application. In this work, porous ZnMn2O4 hollow micro-rods (ZMO HMRs) are synthesized by a facile co-precipitation method coupled with annealing treatment. On the basis of electrochemical analyses, the as-obtained samples are first characterized by X-ray diffraction, X-ray photoelectron spectroscopy, transmission electron microscopy, and scanning electron microscopy techniques. The influences of different polyethylene glycol 400 (PEG 400) additions on the formation of the hollow rod structure are also discussed. The abundant multi-level pore structure and hollow feature of ZMO HMRs effectively alleviate the volume expansion issue, rendering abundant electroactive sites and thereby guaranteeing convenient Li+ diffusion. Thanks to these striking merits, the ZMO HMRs anode exhibits excellent electrochemical lithium storage performance with a reversible specific capacity of 761 mAh g−1 at a current density of 0.1 A g−1, and a long-cycle specific capacity of 529 mAh g−1 after 1000 cycles at 2.0 A g−1 and keep a remarkable rate capability. In addition, the assembled ZMO HMRs-based full cells deliver an excellent rate capacity, and when the current density returns to 0.05 A g−1, the specific capacity can still reach 105 mAh g−1 and remains at 101 mAh g−1 after 70 cycles, maintaining a material-level energy density of approximately 273 Wh kg−1. More significantly, such striking electrochemical performance highlights that porous ZMO HMRs could be a promising anode candidate material for LIBs.
Local Heat Flux Investigation During Pool Boiling Single Bubble Cycles Under Reduced Gravity

In the present work the bubble diameter, heater surface temperature distribution, and local heat flux during different stages of single bubble cycles during pool boiling of PF-5060 at a pressure of p = 600 mbar have been investigated in several stable low g levels during the 1st Joint European Partial-g Parabolic Flight (JEPPF) Campaign. In previous parabolic flight campaigns, microgravity conditions were achieved by following a parabolic trajectory with the specially equipped A-300-Zero-G Aircraft. In this recent JEPPF campaign, the parabolic trajectories were slightly shifted, to establish—apart from microgravity conditions—also stable gravity levels of 0.16 g (lunar gravity) and 0.38 g (Martian gravity). High-resolution measurements of the heater surface temperature were performed using high-speed infrared thermography. An infrared (IR)-transparent sputtered heater design was employed in order to allow temperature measurements by IR thermography at a distance of approximately 800 nm to the heater/fluid interface. From the acquired temperature data, the local heat flux distribution was calculated numerically. Bubble shape and interaction were recorded with a high-speed black-and-white camera. In contrast to previous investigations, the stable low gravity levels enabled performance of measurements during single bubble (ebullition) cycles without the influence of residual flows induced by boiling under a different gravity level, as is the case in the beginning of a regular microgravity parabola. The accuracy of the measurement technique could be drastically enhanced compared to earlier publications. A local temperature drop and corresponding heat flux peak have been observed close to the three-phase contact line.
Holomorphic sectional curvatures of bounded homogeneous domains and related questions

This paper considers a class of homogeneous Kahler metrics which include the Bergman metrics on homogeneous bounded domains. We obtain various necessary conditions for (a) nonpositive holomorphic sectional curvature, (b) nonpositive sectional curvature, and (c) covariant constant curvature (symmetric metric). In particular, we give examples showing that there exist homogeneous bounded domains which in the Bergman metric have some positive holomorphic sectional curvature.
Data-Driven Control for Nonlinear Networked Control Systems Under Deception Attacks

This paper addresses the data-driven control problem for nonlinear networked control systems (NCSs), where fading channels are subject to deception attacks. An improved dynamic linearization technique is firstly established to transform nonlinear NCSs with deception attacks and fading measurements into an equivalent data model. Meanwhile, to alleviate the effect of deception attacks and fading measurements on nonlinear NCSs, an attack compensation mechanism is presented. Moreover, the convergence of the system is analyzed, and the corresponding explicit conditions are derived. In addition, we investigate the effect of deception attacks on the performance of nonlinear NCSs. The proposed results are pure data-driven control methods, and do not need any modeling processes. Finally, the effectiveness of our method are verified by an simulation example.
Robotic Surgery and Functional Esophageal Disorders: A Systematic Review and Meta-Analysis

The functional disease of the esophago-gastric junction (EGJ) is one of the most common health problems. It often happens that patients suffering from GERD need surgical management. The laparoscopic fundoplication has been considered the gold standard surgical treatment for functional diseases of the EGJ. The aim of our meta-analysis is to investigate functional outcomes after robotic fundoplication compared with conventional laparoscopic fundoplication. A prospective search of online databases was performed by two independent reviewers using the search string “robotic and laparoscopic fundoplication”, including all the articles from 1996 to December 2021. The risk of bias within each study was assessed with the Cochrane ROBINS-I and RoB 2.0 tools. Statistical analysis was performed using Review Manager version 5.4. In addition, sixteen studies were included in the final analysis, involving only four RCTs. The primary endpoints were functional outcomes after laparoscopic (LF) and robotic fundoplication (RF). No significant differences between the two groups were found in 30-day readmission rates (p = 0.73), persistence of symptomatology at follow-up (p = 0.60), recurrence (p = 0.36), and reoperation (p = 0.81). The laparoscopic fundoplication represents the gold standard treatment for the functional disease of the EGJ. According to our results, the robotic approach seems to be safe and feasible as well. Further randomized controlled studies are required to better evaluate the advantages of robotic fundoplication.
Tenascin C in Lung Diseases

Simple Summary Tenascin C (TNC) is an extracellular matrix protein involved in numerous cellular processes in development and can be increased in disease; however, its role in lung diseases is less advanced. In this study, we investigated the expression of TNC during lung development, and in the lungs of offspring following maternal particulate matter (PM) exposure, asthma, chronic obstructive pulmonary disease (COPD), and lung cancer. We found that TNC is increased during lung development, in offspring from PM-exposed dams, and in asthma, COPD, and lung cancer tissues. Therefore, targeting TNC may provide a novel therapeutic target for lung diseases. Abstract Tenascin C (TNC) is a multifunctional large extracellular matrix protein involved in numerous cellular processes in embryonic development and can be increased in disease, or under conditions of trauma or cell stress in adults. However, the role of TNC in lung diseases remains unclear. In this study, we investigated the expression of TNC during development, in offspring following maternal particulate matter (PM) exposure, asthma, chronic obstructive pulmonary disease (COPD) and lung cancer. TNC expression is increased during lung development in biopsy cells, endothelial cells, mesenchymal cells, and epithelial cells. Maternal PM exposure increased TNC and collagen deposition, which was not affected by the removal of PM exposure after pregnancy. TNC expression was also increased in basal epithelial cells and fibroblasts in patients with asthma and AT2 and endothelial cells in patients with COPD. Furthermore, there was an increase in the expression of TNC in stage II compared to stage IA lung cancer; however, overall survival analysis showed no correlation between levels of TNC and survival. In conclusion, TNC is increased during lung development, in offspring following maternal PM exposure, and in asthma, COPD, and lung cancer tissues. Therefore, targeting TNC may provide a novel therapeutic target for lung diseases.
The dependent Industry 4.0 development path of the Visegrád countries

The dependency of the Visegrád countries on foreign direct investment has been emphasized in the typologies of capitalist models. Today, the question is whether this development path can be sustained. In past years democratic backsliding and a change towards more inward-looking policies have taken place in this region that may also change their attractiveness to foreign investors. The general slowdown in capital flow can weaken the dependency of these countries on FDI, but the fourth industrial revolution can conversely strengthen it. Based on interviews we conducted with business and academic experts in the Visegrád countries, it is shown that the implementation experiences of Industry 4.0 point to the reinforcement of the duality of firm-level developments and dependency on foreign-controlled enterprises. Therefore, we argue that the FDI-based economic growth path of the Visegrád countries has led to the development of FDI-led industrial transformation.
Electrical characterization of stressed and broken down SiO2 films at a nanometer scale using a conductive atomic force microscope

A conductive atomic force microscope (C-AFM) has been used to investigate the degradation and breakdown of ultrathin (<6 nm) films of SiO2 at a nanometric scale. Working on bare gate oxides, the conductive tip of the C-AFM allows the electrical characterization of nanometric areas. Due to the extremely small size of the analyzed areas, several features, which are not registered during macroscopic tests, are observed. In particular, before the oxide breakdown, switchings between different conduction states and sudden changes of conductivity have been measured, which have been related to the prebreakdown noise observed in conventional metal–oxide–semiconductor structures. Moreover, similar switchings have been also measured after the oxide breakdown, which have been related to the opening or closure of conduction channels between the electrodes. The C-AFM has also allowed the determination of the areas in which the degradation and breakdown take place. The results have shown that, although degradation takes.
UBVRI photometry of the pulsations in V2116 Ophiuchi ≡ GX1+4

The colours of pulsed and non-pulsed light in V2116 Oph have been measured with the UBVRI photometer of the Laboratorio Nacional de Astroffsica, in Brazil. The symbiotic binary was in an optical bright state with V ~ 17. If the blue component in the spectrum of V2116 Oph follows the prescription for a standard optically thick accretion disc spectrum, its contribution to the light of the system at 6600 A is ~20 times the contribution of the red giant, with E(B - V) = 2.1 ± 0.1 mag and a distance of 8.3 kpc. The pulsed component is estimated to have Mv ~ -1.7, implying characteristic sizes (for blackbody emission) of 1.4, 4.3 and 9.3 R0' for temperatures TBB = 100000, 20000 and 10 000 K, respectively.
The Association between Emergency Department Overcrowding and Delay in Treatment: A Systematic Review

Emergency department (ED) overcrowding is a global health issue that is associated with poor quality of care and affects the timeliness of treatment initiation. The purpose of this systematic review is to assess the association between overcrowding and delay in treatment. A systematic review was conducted using four databases (CINAHL, PubMed, Scopus, Cochrane Library), following the preferred reporting items for systematic reviews and meta-analysis (PRISMA). A structured search was conducted to identify peer-reviewed articles aimed at assessing the relationship between overcrowding and delay in treatment, published between January 2000 and January 2021. Only studies that were conducted in the ED settings were included, and that includes both triage and observation rooms. The studies were appraised using two quality appraisal tools including the critical appraisal skills programme (CASP) for cohort studies and the Joanna Briggs Institute (JBI) checklist tool for cross-sectional studies. A total of 567 studies screened, and 10 met the inclusion criteria. Of these studies, 8 were cohorts and 2 were cross-sectionals. The majority reported that overcrowding is associated with a delay in the initiation of antibiotics for patients with sepsis and pneumonia. The review identified that overcrowding might impact time-to-treatment and, thus, the quality of care delivered to the patient. However, further research aimed at finding feasible solutions to overcrowding is encouraged.
Intonation and emotion

Preliminary data were gathered on how simulated emotional characteristics of the voice influence the acoustic form of English utterances containing specific combinations of intonational and stress features [extending Eady and Cooper, J. Acoust. Soc. Am. 80, 402–415 (1986)]. Utterances varying in intrasentential focus position (initial, final, none) were elicited as both statements and questions in each of four emotional ‘‘modes’’ (neutral, sad, happy, angry) employing a structured elicitation procedure. Parameters of duration and fundamental frequency (f0) were then determined for the productions elicited from eight elderly speakers to specify important acoustic dimensions associated with specific combinations of stress, ‘‘modality,’’ and emotional features of the stimuli. Results of the acoustic analyses largely reaffirmed past accounts of how contrastive focus is encoded in (affectively neutral) statements and questions for English, and cohered well with the acoustic literature on how basic emotions are.
OPTICAL ABSORPTION AND FLUORESCENCE INTENSITIES IN SEVERAL RARE-EARTH-DOPED Y$sub 2$O$sub 3$ AND LaF$sub 3$ SINGLE CRYSTALS

Abstract : The absolute intensities of transitions occurring in the optical spectra of single crystals of Y2O3 doped with small amounts of Pr, Nd, Eu, Er, and Tm; single crystals of LaF3 doped with small amounts of Pr and Nd; and single crystals of Er2O3, Tm2O3, and Yb2O3 have been measured at room temperature. All observed transitions occur within the ground configurations of the trivalent rare-earth ions, and their intensities are accounted for using three phenomenological parameters for each system, whose values are determined by a least-squares fitting calculation. A calculation of the relevant crystal- field terms is made, and theoretical values for the intensity parameters are calculated using free-ion radial wave functions and certain closure approximations. It is concluded that excited 4f(n-1)g configurations contribute to observed intensities more than is indicated by free-ion calculations, and that the excited 4f(n-1)5d configuration contributes to the observed intensities an order to magnitude less than indicated by free-ion calculations. A hypersensitive transition in the neodymium systems is observed and its sensitivity is traced to a simple change in point symmetry of the host.
Deep Learning for Fully Automated Radiographic Measurements of the Pelvis and Hip

The morphometry of the hip and pelvis can be evaluated in native radiographs. Artificial-intelligence-assisted analyses provide objective, accurate, and reproducible results. This study investigates the performance of an artificial intelligence (AI)-based software using deep learning algorithms to measure radiological parameters that identify femoroacetabular impingement and hip dysplasia. Sixty-two radiographs (124 hips) were manually evaluated by three observers and fully automated analyses were performed by an AI-driven software (HIPPO™, ImageBiopsy Lab, Vienna, Austria). We compared the performance of the three human readers with the HIPPO™ using a Bayesian mixed model. For this purpose, we used the absolute deviation from the median ratings of all readers and HIPPO™. Our results indicate a high probability that the AI-driven software ranks better than at least one manual reader for the majority of outcome measures. Hence, fully automated analyses could provide reproducible results and facilitate identifying radiographic signs of hip disorders.
Towards Deploying DNN Models on Edge for Predictive Maintenance Applications

Almost all rotating machinery in the industry has bearings as their key building block and most of these machines run 24x7. This makes bearing health prediction an active research area for predictive maintenance solutions. Many state of the art Deep Neural Network (DNN) models have been proposed to solve this. However, most of these high performance models are computationally expensive and have high memory requirements. This limits their use to very specific industrial applications with powerful hardwares deployed close the the machinery. In order to bring DNN-based solutions to a potential use in the industry, we need to deploy these models on Microcontroller Units (MCUs) which are cost effective and energy efficient. However, this step is typically neglected in literature as it poses new challenges. The primary concern when inferencing the DNN models on MCUs is the on chip memory of the MCU that has to fit the model, the data and additional code to run the system. Almost all the state of the art models fail this litmus test since they feature too many parameters. In this paper, we show the challenges related to the deployment, review possible solutions and evaluate one of them showing how the deployment can be realized and what steps are needed. The focus is on the steps required for the actual deployment rather than finding the optimal solution. This paper is among the first to show the deployment on MCUs for a predictive maintenance use case. We first analyze the gap between State Of The Art benchmark DNN models for bearing defect classification and the memory constraint of two MCU variants. Additionally, we review options to reduce the model size such as pruning and quantization. Afterwards, we evaluate a solution to deploy the DNN models by pruning them in order to fit them into microcontrollers. Our results show that most models under test can be reduced to fit MCU memory for a maximum loss of 3% in average accuracy of the pruned models in comparison to the original models. Based on the results, we also discuss which methods are promising and which combination of model and feature work best for the given classification problem.
Perceptions of medical undergraduate students toward biomedical research – A sequential, explanatory, mixed-method study from Puducherry, South India

BACKGROUND: Biomedical research is not given adequate attention during undergraduation due to the failure of the medical curriculum to motivate the students to take up research, teach the research methodology, and emphasize the scope of research in the future. Our objective was to study the perceptions of medical undergraduate students toward biomedical research and to explore the facilitators and barriers to biomedical research. MATERIALS AND METHODS: This was an explanatory, sequential, mixed-method study. Consenting medical undergraduate students, irrespective of their previous contribution to research, were interviewed by a pretested questionnaire concerning biomedical research, its barriers, and facilitators. For the qualitative component, two focused group discussions (FGDs) were conducted among students in the nonclinical and clinical phases. Data were analyzed and expressed as percentages. Thematic manual content analysis of the transcribed manuscripts was performed. RESULTS: This study included 553 participants. Only 5.52% had previous experience undertaking research. Self-interest and acquiring deeper knowledge were identified as drivers. Lack of motivation, proper guidance, and training in research methodology was found to be the barrier among 90% of the subjects. The FGD reflected the perceptions of students and variations in their ideologies toward taking up research. CONCLUSION: It becomes important to analyze the factors that promote or avert a student from taking up research. A thorough investigation in this regard will be helpful for future cohorts of medical students and will impact their decisions on taking up research and in seeking a career in research-based fields.
Transformational Change and Digitalization—The Case of the Swedish Road and Transport Administration

Background: Digitalization is one of the drivers of change in both public and private organizations. It is therefore relevant to understand how a government agency like the Swedish Transport Administration manage and experience change. Methods: In this qualitative study, interviews (n = 15) with respondents with insight and connection to digitalization and change highlight factors related to digitalization and change-capacity within the agency. Results: The results of the interviews are presented in a thematic analysis. Five themes were identified: Digitalization, management control, stability requirements, organizational culture, and lack of a comprehensive view. The research literature in the field of change creates a fund for a discussion about the Administration’s situation regarding digitalization, development, and transformational change. Conclusions: The results indicate that the Transport Administration still has a long way to travel in terms of organizational readiness for change. To address this issue, the Transport Administration should prioritize the development and implementation of a comprehensive change management strategy including clear communication, active engagement, and participation from all employees, and a focus on building a culture of adaptability and continuous improvement.
Presence of understory dwarf bamboo determines ecosystem fine root production in a cool-temperate forest in northern Japan

ABSTRACT Fine root biomass (FRB) and production (FRP) are crucial in forest carbon and nutrient cycling, but the factors controlling FRB and FRP are not well understood. Here, we examined FRB, FRP, aboveground environmental and stand factors, and soil environmental factors in four stands in a forest covered with dense understory vegetation of dwarf bamboo, Sasa senanensis (hereafter, Sasa). The four stands had different tree species composition and included a primary forest (PF), secondary forest (SF), conifer plantation (CP), and Sasa area (SA). We quantified the FRB and FRP of trees and Sasa separately using the ingrowth core method. Total FRP was higher in stands with substantial presence of Sasa (99–130 g m−2 yr−1) than in CP with scarce Sasa (69 g m−2 yr−1). Despite being occupied by Sasa alone, SA had high FRP, suggesting that the presence of Sasa regardless of trees is a key determinant of ecosystem FRP. Tree FRB increased with increasing tree aboveground biomass, tree density, or basal area at breast height, but Sasa FRB and total FRB decreased. Total FRP was also lower at higher values of these aboveground stand factors. In Sasa, specific root length was significantly higher, and root tissue density was significantly lower, than in trees, indicating the capacity of Sasa for explosive growth. Positive correlations between Sasa FRB or FRP and soil inorganic N or ammonium contents (i.e. N availability) were detected. We conclude that Sasa is important in determining FRB and FRP in this northern forest with understory vegetation.