Miracle-dz/UniFAR-FTUs huggingface dataset:
Transistor in a tube: A route to three-dimensional bioelectronics

We report development of the first biomimetic transistor in a tube for continuous monitoring of 3D cell cultures. Advances in three-dimensional (3D) cell culture materials and techniques, which more accurately mimic in vivo systems to study biological phenomena, have fostered the development of organ and tissue models. While sophisticated 3D tissues can be generated, technology that can accurately assess the functionality of these complex models in a high-throughput and dynamic manner is not well adapted. Here, we present an organic bioelectronic device based on a conducting polymer scaffold integrated into an electrochemical transistor configuration. This platform supports the dual purpose of enabling 3D cell culture growth and real-time monitoring of the adhesion and growth of cells. We have adapted our system to a 3D tubular geometry facilitating free flow of nutrients, given its relevance in a variety of biological tissues (e.g., vascular, gastrointestinal, and kidney) and processes (e.g., blood flow). This biomimetic transistor in a tube does not require photolithography methods for preparation, allowing facile adaptation to the purpose. We demonstrate that epithelial and fibroblast cells grow readily and form tissue-like architectures within the conducting polymer scaffold that constitutes the channel of the transistor. The process of tissue formation inside the conducting polymer channel gradually modulates the transistor characteristics. Correlating the real-time changes in the steady-state characteristics of the transistor with the growth of the cultured tissue, we extract valuable insights regarding the transients of tissue formation. Our biomimetic platform enabling label-free, dynamic, and in situ measurements illustrates the potential for real-time monitoring of 3D cell culture and compatibility for use in long-term organ-on-chip platforms.
Don’t worry, be active: how to facilitate the detection of errors in immersive virtual environments

The current research aims to study the link between the type of vision experienced in a collaborative immersive virtual environment (active vs. multiple passive), the type of error one looks for during a cooperative multi-user exploration of a design project (affordance vs. perceptual violations), and the type of setting in which multi-user perform (field in Experiment 1 vs. laboratory in Experiment 2). The relevance of this link is backed by the lack of conclusive evidence on an active vs. passive vision advantage in cooperative search tasks within software based on immersive virtual reality (IVR). Using a yoking paradigm based on the mixed usage of simultaneous active and multiple passive viewings, we found that the likelihood of error detection in a complex 3D environment was characterized by an active vs. multi-passive viewing advantage depending on: (1) the degree of knowledge dependence of the type of error the passive/active observers were looking for (low for perceptual violations, vs. high for affordance violations), as the advantage tended to manifest itself irrespectively from the setting for affordance, but not for perceptual violations; and (2) the degree of social desirability possibly induced by the setting in which the task was performed, as the advantage occurred irrespectively from the type of error in the laboratory (Experiment 2) but not in the field (Experiment 1) setting. Results are relevant to future development of cooperative software based on IVR used for supporting the design review. A multi-user design review experience in which designers, engineers and end-users all cooperate actively within the IVR wearing their own head mounted display, seems more suitable for the detection of relevant errors than standard systems characterized by a mixed usage of active and passive viewing.
Selective Blockade of HCN1/HCN2 Channels as a Potential Pharmacological Strategy Against Pain

A prominent role of hyperpolarization-activated, cyclic nucleotide-gated (HCN) channels has been suggested based on their expression and (dys)function in dorsal root ganglion (DRG) neurons, being likely involved in peripheral nociception. Using HCN blockers as antinociceptive drugs is prevented by the widespread distribution of these channels. However, tissue-specific expression of HCN isoforms varies significantly, HCN1 and HCN2 being considered as major players in DRG excitability. We characterized the pharmacological effect of a novel compound, MEL55A, able to block selectively HCN1/HCN2 isoforms, on DRG neuron excitability in-vitro and for its antiallodynic properties in-vivo. HEK293 cells expressing HCN1, HCN2, or HCN4 isoforms were used to verify drug selectivity. The pharmacological profile of MEL55A was tested on mouse DRG neurons by patch-clamp recordings, and in-vivo in oxaliplatin-induced neuropathy by means of thermal hypersensitivity. Results were compared to the non-isoform-selective drug, ivabradine. MEL55A showed a marked preference toward HCN1 and HCN2 isoforms expressed in HEK293, with respect to HCN4. In cultured DRG, MEL55A reduced Ih amplitude, both in basic conditions and after stimulation by forskolin, and cell excitability, its effect being quantitatively similar to that observed with ivabradine. MEL55A was able to relieve chemotherapy-induced neuropathic pain. In conclusion, selective blockade of HCN1/HCN2 channels, over HCN4 isoform, was able to modulate electrophysiological properties of DRG neurons similarly to that reported for classical Ih blockers, ivabradine, resulting in a pain-relieving activity. The availability of small molecules with selectivity toward HCN channel isoforms involved in nociception might represent a safe and effective strategy against chronic pain.
Least P-Norm Design of IIR Filters with a Pole Radius Constraint

In this paper, the least p-norm criterion is adopted to design the Infinite Impulse Response (IIR) digital filters that meet simultaneously on prescribed magnitude and phase responses with a pole radius constraint. The parameterizations of direct form and cascade of second-order factors are employed to represent the denominators. For both parameterizations, the pole radii are constrained within a prescribed circle centered at the origin of the complex plane. The positive realness condition and an internal stability triangle are used to constrain the pole radii of direct form and cascade form denominators respectively. We incorporate the benefits of less nonlinearity of direct form denominator and the necessary and sufficient property on controlling the pole radii of cascade form denominator to design the IIR filter that converges to the true local optimum solution. That is, the direct form is first carried out to search a good solution, and then the results are used as the initial point of the cascade form to search true local optimum. This paper develops a robust and stable algorithm to design IIR digital filters with acceptable results.
The Impact of Breastfeeding on Health Outcomes for Infants Diagnosed with Neonatal Abstinence Syndrome: A Review

Neonatal abstinence syndrome (NAS) is a neurologic condition resulting from prenatal exposure to opioids. The sudden cessation of opioids in neonates can lead to withdrawal symptoms affecting the neurologic, respiratory, and gastrointestinal systems. Rising opioid use in the United States has led to an increased incidence of infants born with NAS. Despite the growing incidence of NAS, there is a lack of standardized guidelines for intervention and management. Recent studies suggest that non-pharmacological methods should be used as first-line interventions for the reduction of NAS symptoms. Of the non-pharmacological methods, growing literature suggests that breastfeeding may have the potential to reduce symptom severity and improve outcomes. We searched the PubMed and Medline databases for experimental/quasi-experimental studies published from 1997-2018 regarding outcomes in breastfed versus formula-fed neonates with prenatal exposure to opioids. Seven retrospective studies fulfilling the inclusion criteria were reviewed. Collectively, the studies show a strong correlation between breastfeeding and a reduced length of hospital stay, a decreased severity of NAS presentation, and a decreased necessity of pharmacological interventions in infants diagnosed with NAS. From these findings, we recommend breastfeeding as an integral component of the early management of NAS.
Combining molecular docking and molecular dynamics studies for modelling Staphylococcus aureus MurD inhibitory activity

ABSTRACT The ATP-dependent bacterial MurD enzyme catalyses the formation of the peptide bond between cytoplasmic intermediate UDP-N-acetylmuramoyl-L-alanine and D-glutamic acid. This is essential for bacterial cell wall peptidoglycan synthesis in both Gram-positive and Gram-negative bacteria. MurD is recognized as an important target for the development of new antibacterial agents. In the present study we prepared the 3D-stucture of the catalytic pocket of the Staphylococcus aureus MurD enzyme by homology modelling. Extra-precision docking, binding free energy calculation by the MM–GBSA approach and a 40 ns molecular dynamics (MD) simulation of 2-thioxothiazolidin-4-one based inhibitor $1 was carried out to elucidate its inhibition potential for the S. aureus MurD enzyme. Molecular docking results showed that Lys19, Gly147, Tyr148, Lys328, Thr330 and Phe431 residues are responsible for the inhibitor–protein complex stabilization. Binding free energy calculation revealed electrostatic solvation and van der Waals energy components as major contributors for the inhibitor binding. The inhibitor-modelled S. aureus protein complex had a stable conformation in response to the atomic flexibility and interaction, when subjected to MD simulation at 40 ns in aqueous solution. We designed some molecules as potent inhibitors of S. aureus MurD, and to validate the stability of the designed molecule D1-modelled protein complex we performed a 20 ns MD simulation. Results obtained from this study can be utilized for the design of potent S. aureus MurD inhibitors.
Investigation of Ripple Current in Pulsewidth Modulation Techniques for Flying Capacitor Multilevel Inverters

This paper uses analytical methods to determine the output current ripple and power losses of flying capacitor multilevel inverters controlled by phase disposition and phase shifted pulsewidth modulation. By combining previously known methods for calculating current ripple in two-level inverters with analytical models for representing flying capacitor multilevel inverters theoretical calculations are made. It is hence shown that the greater effective switching frequency of the phase shifted strategy establishes conditions of less harmonic power losses and filter requirements over the phase disposition strategy. Additionally through these methods it is shown that carrier redistribution for phase disposition works effectively at distributing switching losses and minimizing current ripple. Results are verified through simulation.
Cognitive load theory as a framework for simulation-based, ultrasound-guided internal jugular catheterization training: Once is not enough.

OBJECTIVE The main objective of this study was to use the principles of cognitive load theory to design a curriculum that incorporates a progressive part practice approach to teaching ultrasound-guided (USG) internal jugular catheterization (IJC) to novices. A secondary objective was to compare the technical proficiency of residents trained using this curriculum with the technical proficiency of residents trained with the current local standard of a single simulation session. METHODS The experimental group included 16 residents who attended three 2-hour sessions of progressive part practice in a simulation lab. The control group included 46 residents who attended the current local standard of a single 2-hour simulation session just prior to their intensive care unit rotation. Technical proficiency was assessed using hand motion analysis and time to procedure completion. RESULTS After three sessions, median scores for right hand motion (RHM) (34.5; [27.0-49.0]), left hand motion (LHM) (35.5; [20.0-45.0]), and total time (TT) (117.0 s; [82.7-140.0]) in the experimental group were significantly better than the control group (p<0.001). Results for eight experimental group residents who were assessed for retention at a later date revealed median scores for RHM (45.0; [32.0-58.0]), LHM (33.5; [20.0-63.0]), and TT (150.0 s; [103.0-399.6]), which were significantly better than those of the control group (p=0.01, p<0.01, and p=0.02, respectively). CONCLUSION These results support multiple sessions of progressive part practice in a simulation lab as an effective competency-based approach to teaching USG IJC in preparation for the clinical setting.
Influence of Mono- and Bimetallic PtOx, PdOx, PtPdOx Clusters on CO Sensing by SnO2 Based Gas Sensors

To obtain a nanocrystalline SnO2 matrix and mono- and bimetallic nanocomposites SnO2/Pd, SnO2/Pt, and SnO2/PtPd, a flame spray pyrolysis with subsequent impregnation was used. The materials were characterized using X-ray diffraction (XRD), a single-point BET method, transmission electron microscopy (TEM), and high angle annular dark field scanning transmission electron microscopy (HAADF-STEM) with energy dispersive X-ray (EDX) mapping. The electronic state of the metals in mono- and bimetallic clusters was determined using X-ray photoelectron spectroscopy (XPS). The active surface sites were investigated using the Fourier Transform infrared spectroscopy (FTIR) and thermo-programmed reduction with hydrogen (TPR-H2) methods. The sensor response of blank SnO2 and nanocomposites had a carbon monoxide (CO) level of 6.7 ppm and was determined in the temperature range 60–300 °C in dry (Relative Humidity (RH) = 0%) and humid (RH = 20%) air. The sensor properties of the mono- and bimetallic nanocomposites were analyzed on the basis of information on the electronic state, the distribution of modifiers in SnO2 matrix, and active surface centers. For SnO2/PtPd, the combined effect of the modifiers on the electrophysical properties of SnO2 explained the inversion of sensor response from n- to p-types observed in dry conditions.
Motion Pattern Recognition for Maneuver Detection and Trajectory Prediction on Highways

Intelligent automated driving functions require a deep understanding about the current traffic situation and its likely evolution. For highly automated driving on highways, predicting trajectories of traffic participants is a crucial task for collision-free trajectory planning and risk-aware maneuver choice. For a prediction horizon of a few seconds the execution of those trajectories is fuzzy and highly dependent on the maneuver choice of the driver. This paper presents a new online-capable statistical approach for maneuver detection and uncertainty-aware trajectory prediction in highway scenarios based on detecting and clustering typical motion patterns in real highway footage and deriving prototypical trajectories for each cluster. The cluster prototypes are utilized for maneuver detection by evaluating their proximities to incomplete tra- jectory records while identifying for each prototype its most similar section. The remaining segment of the best fit is used as an estimate for the future motion of the traffic participant. Quantitative evaluation results demonstrate the potential of the proposed concept for maneuver detection and maneuver-based trajectory prediction.
Compositional response of Amazon forests to climate change

Most of the planet's diversity is concentrated in the tropics, which includes many regions undergoing rapid climate change. Yet, while climate‐induced biodiversity changes are widely documented elsewhere, few studies have addressed this issue for lowland tropical ecosystems. Here we investigate whether the floristic and functional composition of intact lowland Amazonian forests have been changing by evaluating records from 106 long‐term inventory plots spanning 30 years. We analyse three traits that have been hypothesized to respond to different environmental drivers (increase in moisture stress and atmospheric CO2 concentrations): maximum tree size, biogeographic water‐deficit affiliation and wood density. Tree communities have become increasingly dominated by large‐statured taxa, but to date there has been no detectable change in mean wood density or water deficit affiliation at the community level, despite most forest plots having experienced an intensification of the dry season. However, among newly recruited trees, dry‐affiliated genera have become more abundant, while the mortality of wet‐affiliated genera has increased in those plots where the dry season has intensified most. Thus, a slow shift to a more dry‐affiliated Amazonia is underway, with changes in compositional dynamics (recruits and mortality) consistent with climate‐change drivers, but yet to significantly impact whole‐community composition. The Amazon observational record suggests that the increase in atmospheric CO2 is driving a shift within tree communities to large‐statured species and that climate changes to date will impact forest composition, but long generation times of tropical trees mean that biodiversity change is lagging behind climate change.
Fast and Resource-Efficient Hardware Implementation of Modified Line Segment Detector

Lines are significant features enclosing high-level information in an image. The line segment Detector (LSD) Algorithm with low error rate is a widely used method to extract lines in images effectively and accurately. However, the algorithm on PC performs too costly both in time and resources for the real-time video processing. This paper provides a fast and resource-efficient hardware implementation solution for a modified LSD algorithm on Field Programmable Gate Arrays (FPGA) for real-time line detection. The task-level pipeline structures are exploited fully in a stream process mapped to the hardware architecture free of frame buffer. Our proposed hardware implementation processes in a stream-in–stream-out manner with little consumption of the on-chip block RAM to store intermediate values. We first employ hardware Gaussian filter and adjust Canny edge detection to obtain an edge map at single-pixel width. Then, a novel structure of region growing model based on dynamic rooted tree is used to detect line segment regions accurately with a latency of only a few rows of pixels. The low cost in time, on-chip resources, and power consumption makes our proposed algorithm suitable for portable real-time streaming video processing applications using line segment features, such as Lane departure warning systems. It can also be applied in real-time machine vision systems that use line segments information for further recognition or stereo correspondence and many others. The proposed algorithm is synthesized and tested on XC7Z020 FPGA with high reliability, accuracy speed, and low cost in both resources and energy.
Automated Efficiency Testing of Converter - Fed Induction Motors

The determination of additional harmonic losses in converter-fed induction motors (IMs) is often problematic as evidenced by the conflicting reports cited in literature. Although this can be attributed to several factors, the mismatch in test points owing to mechanical loading and other non-idealities due to the human operator are issues that can be addressed. This paper presents an automated efficiency testing approach for converter-fed IMs, based on the IEC/TS 60034-2-3. The procedure has been developed to minimize human-induced errors in the determination of additional harmonic losses by ensuring the sinusoidal and PWM supply tests are performed under identical conditions. Analysis of the experimental results obtained by testing a 55kW IM highlight some improvements in the quality of test results due to the proposed automated testing.
MicroRNA-195: a review of its role in cancers

MicroRNAs (miRNAs) are small and highly conserved noncoding RNAs that regulate gene expression at the posttranscriptional level by binding to the 3′-UTR of target mRNAs. Recently, increasing evidence has highlighted their profound roles in various pathological processes, including human cancers. Deregulated miRNAs function as either oncogenes or tumor suppressor genes in multiple cancer types. Among them, miR-195 has been reported to significantly impact oncogenicity in various neoplasms by binding to critical genes and signaling pathways, enhancing or inhibiting the progression of cancers. In this review, we focus on the expression of miR-195 in regulatory mechanisms and tumor biological processes and discuss the future potential therapeutic implications of diverse types of human malignancies.
Informed, Patient-Centered Decisions Associated with Better Health Outcomes in Orthopedics: Prospective Cohort Study

Background. A goal of shared decision making (SDM) is to ensure patients are well informed and receive preferred treatments. However, the relationship between SDM and health outcomes is not clear. Objective. The purpose was to examine whether patients who are well informed and receive their preferred treatment have better health outcomes. Design, Setting, and Participants. A prospective cohort study at an academic medical center surveyed new patients with knee or hip osteoarthritis, herniated disc, or spinal stenosis 1 week after seeing a specialist and again 6 months later. Main Outcomes and Measures. The survey assessed knowledge, preferred treatment, and quality of life (QoL). The percentage of patients who were well informed and received preferred treatment was calculated (informed, patient centered [IPC]). A follow-up survey assessed QoL, decision regret, and satisfaction. Regression analyses with generalized estimating equations to account for clustering tested a priori hypotheses that patients who made IPC decisions would have higher QoL.Results. Response rate was 70.3% (652/926) for initial and 85% (551/648) for follow-up. The sample was 63.9 years old, 52.8% were female, 62.6% were college educated, and 49% had surgery. One-third (37.4%) made IPC decisions. Participants who made IPC decisions had significantly better overall (0.05 points (SE 0.02) for EQ-5D, P = 0.004) and disease-specific quality of life (4.22 points [SE 1.82] for knee, P = 0.02; 4.46 points [SE 1.54] for hip, P = 0.004; and 6.01 points [SE 1.51] for back, P < 0.0001), higher satisfaction and less regret. Limitations. Observational study at a single academic center with limited diversity. Conclusions. Well-informed patients who receive their preferred treatment also had better health outcomes and higher satisfaction.
15-Gb/s 50-cm Wireless Link Using a High-Power Compact III–V 84-GHz Transmitter

This paper reports on a 15-Gb/s wireless link that employs a high-power resonant tunneling diode (RTD) oscillator as a transmitter (Tx). The fundamental carrier frequency is 84 GHz and the maximum output power is 2 mW without any power amplifier. The reported performance is over a 50-cm link, with simple amplitude shift keying modulation utilized. The 15-Gb/s data link shows correctable bit error rate (BER) of <inline-formula> <tex-math notation="LaTeX">$4.1 \times 10^{-3}$ </tex-math></inline-formula>, while the lower data rates of 10 and 5 Gb/s show a BER of <inline-formula> <tex-math notation="LaTeX">$3.6 \times 10^{-4}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$1.0 \times 10^{-6}$ </tex-math></inline-formula>, respectively. These results demonstrate that the RTD Tx is a promising candidate for the next-generation low-cost, compact, ultrahigh data rates wireless communication systems.