Miracle-dz/UniFAR-FTUs huggingface dataset:
Variation in Pulse Contour Markers on an Anesthetized Porcine During Pressure Perturbation: Association with Local and Regional Stiffness

Pulse contour analysis (PCA) provides detailed evaluations of the accelerative and decelerative phases of the arterial pulse waveform, potentially associated with large artery stiffness and vascular ageing. Previous studies have reported age-related associations (both structural and functional) with PCA markers and stiffness. However, changes in functional stiffness under a drug produced due to the interplay of blood pressure and heart rate were not explored. In this work, we investigate the variation of PCA markers derived from the second derivative of invasive pressure waveform recorded from the carotid artery of an anaesthetized porcine model under drug intervention. The variations in PCA markers are compared with the functional stiffness surrogates (pulse wave velocity (PWV) _ regional and local), which are clinically relevant markers that vary with blood pressure and heart rate. Local and regional PWV was measured from pulse transit time, obtained from the carotid artery for the former and carotid-femoral artery for the latter. Group average local and regional PWV varied at least by 83.26%, and group average PCA markers by 25.19% for a 57.75% change in pulse pressure. PCA markers: b/a and c/a had statistically significant highest correlation (r = 0.63, r = −0.93 respectively, p < 0.001) with local PWV and pulse pressure (r = 0.73, r = −0.97 respectively, p < 0.001), whereas c/a and d/a had statistically significant highest correlation (r = −0.96, r = −0.98 respectively, p < 0.001) with regional PWV. The study helps understand the selective associations of PCA markers (through multivariate regression analysis) on local, regional stiffness and pulse pressure. Such PCA markers potentially provide information useful for developing vascular index matrices.
Effect of Landscape on Consumers’ Behavior in Shopping Malls: An Empirical Study of Shoprite Malls at Akure, Nigeria

Consumer behaviors have become prominent in the business platform and related discipline from past to present. Being able to understand consumer behaviors and identify strategies in this direction has become the most important condition for survival in competitive conditions. This study, it is aimed to determine the relationship between consumption concepts and architectural discipline. Design criteria that increase and decrease consumption preference and quantity have been investigated by determining the extent to which the interior and exterior architecture via landscape affected the consumption habits. Relevant literature, observations, and conceptual survey of the daily shopping malls were conducted at Shoprite Mall Akure. The Data was analyzed using Structural Equation Model (SEM) via AMOS to measure the architectural impacts on consumer shopping patterns. Thus, the findings show that a desirable landscape improves consumers' patronage tendency in shopping malls. This implies that architectural training and practice are sacrosanct in human shopping tendency.
Intrusion Detection System Based on In-Depth Understandings of Industrial Control Logic

In industrial control systems (ICSs), intrusion detection is a vital task. Conventional intrusion detection systems (IDSs) rely on manually designed rules. These rules heavily depend on professional experience, thereby making it challenging to represent the increasingly complicated industrial control logic. Although deep learning-based approaches provide better accuracy than other methods, they can only provide alerts. However, they cannot provide administrators with detailed information. In this study, we propose the logic understanding IDS (LU-IDS), which is a rule-based IDS with in-depth understandings of industrial control logic. Our proposed LU-IDS uses a specially designed deep learning-based model to capture features automatically and carry out attack classification. More importantly, it analyzes the knowledge learned from the classification of attacks to understand the abnormal industrial control logic and generate rules. The experimental results indicate that our proposed LU-IDS demonstrates excellent performance on intrusion detection. The rules generated by our proposed LU-IDS can be used to successfully detect all types of attacks on two public datasets.
Identification of Potential Cytochrome P450 3A5 Inhibitors: An Extensive Virtual Screening through Molecular Docking, Negative Image-Based Screening, Machine Learning and Molecular Dynamics Simulation Studies

Cytochrome P450 3A5 (CYP3A5) is one of the crucial CYP family members and has already proven to be an important drug target for cardiovascular diseases. In the current study, the PubChem database was screened through molecular docking and high-affinity molecules were adopted for further assessment. A negative image-based (NIB) model was used for a similarity search by considering the complementary shape and electrostatics of the target and small molecules. Further, the molecules were segregated into active and inactive groups through six machine learning (ML) matrices. The active molecules found in each ML model were used for in silico pharmacokinetics and toxicity assessments. A total of five molecules followed the acceptable pharmacokinetics and toxicity profiles. Several potential binding interactions between the proposed molecules and CYP3A5 were observed. The dynamic behavior of the selected molecules in the CYP3A5 was explored through a molecular dynamics (MD) simulation study. Several parameters obtained from the MD simulation trajectory explained the stability of the protein–ligand complexes in dynamic states. The high binding affinity of each molecule was revealed by the binding free energy calculation through the MM-GBSA methods. Therefore, it can be concluded that the proposed molecules might be potential CYP3A5 molecules for therapeutic application in cardiovascular diseases subjected to in vitro/in vivo validations.
Immunoglobulin Disorders and the Oral Cavity: A Narrative Review

The oral mucosa is a mechanical barrier against the penetration and colonization of microorganisms. Oral homeostasis is maintained by congenital and adaptive systems in conjunction with normal oral flora and an intact oral mucosa. Components contributing to the defense of the oral cavity include the salivary glands, innate antimicrobial proteins of saliva, plasma proteins, circulating white blood cells, keratinocyte products of the oral mucosa, and gingival crevicular fluid. General disturbances in the level of immunoglobulins in the human body may be manifested as pathological lesions in the oral mucosa. Symptoms of immunoglobulin-related general diseases such as mucous membrane pemphigoid (MMP), pemphigus vulgaris (PV), linear IgA bullous dermatosis (LABD), Epidermolysis Bullosa Aquisita (EBA), and Hyper-IgE syndrome (HIES) may appear in the oral cavity. In this review, authors present selected diseases associated with immunoglobulins in which the lesions appear in the oral cavity. Early detection and treatment of autoimmune diseases, sometimes showing a severe evolution (e.g., PV), allow the control of their dissemination and involvement of skin or other body organs. Immunoglobulin disorders with oral manifestations are not common, but knowledge, differentiation and diagnosis are essential for proper treatment.
The multiresolution intensity axis of symmetry and its application to image segmentation

A new shape description for grey-scale images called the intensity axis of symmetry (lAS) and an associated curvature-based description called vertex curves are presented. Both of these shape description methods focus on properties of the level curves of the image and combine this information across intensities to obtain representations which capture properties of both the spatial and intensity shape of an image. Methods to calculate and to display both image shape descriptions are described. To provide the necessary coherence across the spatial and intensity dimensions while computing the IAS, the boundary-based ·active contour method of Kassis extended to obtain a surface-based functional called the active surface. To illustrate the effectiveness of the IAS for image shape description, an interactive image segmentation program which identifies and displays image regions associated with individual components of the IAS is demonstrated. These regions often correspond to sensible anatomical structures in medical images. An analysis of the multiresolution behavior of the IAS reve~ls that it is possible to impose a quasi-hierarchy on IAS sheets by focusing on the multiresolution properties of much simpler geometric structures: vertex curves approximated by watershed boundaries.
Evaluation of the Correlation between Regional Retinal Ganglion Cell Damage and Visual Field Sensitivity in Patients with Advanced Glaucoma

(1) Background: to investigate the correlation between structural (retinal ganglion cells and retinal nerve fibers) and functional alterations analyzed point-by-point in the central 10 degrees of the visual field of patients with advanced glaucoma using Humphrey 10-2 visual field tests. (2) Methods: Single-center prospective cohort study carried on from October 2018 to February 2019 at the Croix-Rousse hospital, Lyon, France. The primary outcome measure was the point-by-point correlation between retinal sensitivity (Humphrey 10-2) and retinal ganglion cell complex (GCC) thickness. (3) Results: 29 eyes of 27 patients were examined. Of these, 15 eyes had a mean deviation (MD) less than −20 dB. There were statistically significant linear relationships between GCC thickness and 10-2 visual field sensitivity for several points in the lower part of the visual field, with lower retinal sensitivity being associated with thicker GCC layers. There were no strong linear relationships or statistically significant correlations in the other regions of the visual field. For the patients with MD < −20 dB, there were statistically significant linear relationships between GCC thickness and 10-2 visual field sensitivity for several points in the superior nasal region. Retinal sensitivity was not correlated with retinal nerve fibre layer thickness. (4) Conclusions: In this study of patients with advanced glaucoma, GCC thickness was linearly associated with 10-2 visual field sensitivity in certain regions, negatively for patients with less-severe glaucoma. The initial thickening raises questions about the apoptosis mechanism, while the thinning observed in the most severe cases is consistent with the ganglion cell death identified on visual field tests.
Large-Signal Equivalent Circuit for Datacom VCSELs – Including Intensity Noise

Optical interconnects (OIs) continue to require more and more sophisticated driver and receiver electronics as higher baud rates are pushed in datacom, mainly due to the bandwidth stagnation of the optoelectronic components such as the vertical-cavity surface-emitting laser (VCSEL) in the transmitter as well as the photodetector (PD) in the receiver. Another important focus is maintaining high energy efficiency for the OIs. For both cases, a reliable equivalent circuit model for high-speed VCSELs is required for link optimization. This work is an extension of our previously presented large-signal VCSEL equivalent circuit model, where noise is added to the physical processes that the VCSEL model is based on. Thus, a new step is taken in the strive of developing an even more accurate physics-based large-signal VCSEL equivalent circuit model for datacom applications. Following a detailed description of the VCSEL noise modelling, a presentation is given on simulated results of VCSEL relative intensity noise (RIN) spectrum and eye diagrams under 28 Gbaud on-off keying (OOK) and pulse-amplitude 4 (PAM4) modulation, and that are compared with corresponding measurement results. Good agreement is found over a wide range of VCSEL driving conditions and temperatures. A 28-GHz-bandwidth VCSEL is applied for the demonstration, and the presented noise extended VCSEL equivalent circuit model was implemented in Verilog-A, and the simulations were performed using Cadence Spectre.
A Reconfigurable MIMO-SAR Transmission Scheme Based on Inter-Pulse and Intra-Pulse Joint Phase Modulation

The echo separation issue associated with different transmit antennas is the most technical challenge in realizing the Multiple-Input Multiple-Output (MIMO) Synthetic Aperture Radar (SAR) system. In this paper, a reconfigurable MIMO-SAR transmission scheme based on inter-pulse and intra-pulse joint phase modulation is proposed. The proposed scheme has many advantages. First, lots of monostatic waveforms can be directly employed in a MIMO-SAR system, which offers flexibility in waveform selection. Second, according to different MIMO-SAR applications, it is reconfigurable and can flexibly adjust the system Degree of Freedoms (DoFs) to accomplish echo separation, achieving the best system performance, which is the key for the multimodal operation of MIMO-SARs. Finally, due to the limited system resources in the real MIMO-SAR system, it is hard to separate echo in a single domain, and the proposed scheme jointly capitalizes DoFs of Doppler, time, and space domains to ensure the successful echo separation. In addition, detailed simulation experiments are carried out to verify the practicability and effectiveness of the newly proposed transceiver schemes.
Dimensional Adjectives: Grammatical Structure and Conceptual Interpretation

The present volume is the result of a project which concentrated on a selected subset of linguistic knowledge with the aim of giving a systematic account of the various aspects of structure and process in this subset and the interpretation of these. The subset that for a number of reasons appeared appropriate to this undertaking centres around the dimensional adjectives of German. That the en terprise ultimately produced a less integrated and complete result than expected is due to several reasons. Some of these are of an intrinsic nature, ever present, and not particularly surprising. Some, however, are related to the character of the project itself and are worth commenting upon, as they reflect specific expe riences and difficulties which we encountered during several years of working on the project. We started from the assumption that the dimensional adjectives constitute a sufficiently rich, but nevertheless limited domain of grammatical and concep tual structure which is fairly well understood and explored in relevant aspects. Consequently we expected that summarizing, integrating, and extending the nu merous results that were available should quickly lead to a more complete picture of the interaction of the components involved. However, even had the premise of this assumption been correct, the conclusion turned out to be wrong fairly early in the project. On closer inspection, the investigations of the phenomena were much less complete, the facts agreed upon less systematic, and the proposed anal yses far less convincing than supposed initially. "
A Model of Intangible Capital

We propose a model that starts from the premise that intangible capital needs to be stored on some medium --- software, patents, essential employees --- before it can be utilized in production. Storage implies that intangible capital may be partially non-rival within the firm, leading to scale economies. However, storage can also compromise the ability of the firm to fully appropriate the returns generated by intangibles. We explore the implications of these two mechanisms for firm scale, scope
Study on Control Strategy of Vascular Interventional Surgery Robot based on Adaptive Smith Predictor

When doctors perform cardiovascular and cerebrovascular interventional operations, X-ray radiation will greatly increase the probability of doctors suffering from cancer. Surgery through robots can protect doctors’ bodies and reduce the workload of doctors. Most of the research focus on interventional surgical robots is on traditional control algorithms. Few studies have paid attention to the delay problem of the system. Most of the vascular interventional surgery robots adopt the master-slave type, and the slave end needs to restore the action of the master end. The master-slave system cannot avoid the master-slave tracking error caused by the delay. In this paper, an adaptive Smith prediction algorithm is proposed to solve the master-slave delay and improve the tracking accuracy. This paper proves by experiments that this algorithm has a good control effect, can effectively solve the lag problem of the robot, improve the tracking performance, and ensure real-time and accuracy.
Principles and applications of superconducting quantum interference devices

Macroscopic quantum intererence - DC-SQUID, P. Carelli and G. Paterno signal and noise characteristics of RF-SQUIDs, V.I. Shnyrkov and G.M. Tsoi fabrication of integrated DC-SQUID with refractory tunnel junctions, S. Takada and M. Koyanagi SQUIDs in the study of cerebral magnetic field, G.L. Romani and L. Narici space applications of superconductivity, M. Nisenoff fundamental physics experiments using SQUIDs, B. Cabrera status of d.c. SQUIDs in high temperature superconductors, R. Gross and P. Chaudari.
An Edge Based Attack Detection Model (EBAD) for Increasing the Trustworthiness in IoT Enabled Smart City Environment

Several massive real-time services could be offered to the residents of smart cities by the incorporation of collaborative applications. All such applications require latency-aware network services for accomplishing various needs of the smart city environment. It requires technological enhancements to the existing mechanisms to serve better in smart environments. Such enhancements to the prevailing approaches also opened a wide range of chances to the intruders. Among such infringes, the identity-based attack is the most powerful attack, which may directly affect the credibility of legitimate network components. Such attackers aim to steal the identity of other legitimate entities. Thus, the prevailing trust-based approaches cannot withstand such attacks. The proposed Edge-based approach, EBAD has been designed for smart city environments, as a robust prevention mechanism for identity theft and misuse. EBAD is efficient enough to identify the Sybil attacker nodes and the early identification of such attacker nodes will nullify the probability of performing the Sybil attack over a Cooperative blackmailing attack (SA-CBA). EBAD uses an Edge-based accusation analysis approach to assess the malicious behavior of the network entities. The major part of the required computations has been placed at the edge node for reducing the computational overload of the end devices. Finally, the efficiency of EBAD has been examined under a malicious environment.
Electrospun Polycaprolactone (PCL) Degradation: An In Vitro and In Vivo Study

Polycaprolactone (PCL) is widely used in tissue engineering due to its interesting properties, namely biocompatibility, biodegradability, elastic nature, availability, cost efficacy, and the approval of health authorities such as the American Food and Drug Administration (FDA). The PCL degradation rate is not the most adequate for specific applications such as skin regeneration due to the hydrophobic nature of bulk PCL. However, PCL electrospun fiber meshes, due to their low diameters resulting in high surface area, are expected to exhibit a fast degradation rate. In this work, in vitro and in vivo degradation studies were performed over 90 days to evaluate the potential of electrospun PCL as a wound dressing. Enzymatic and hydrolytic degradation studies in vitro, performed in a static medium, demonstrated the influence of lipase, which promoted a rate of degradation of 97% for PCL meshes. In an in vivo scenario, the degradation was slower, although the samples were not rejected, and were well-integrated in the surrounding tissues inside the subcutaneous pockets specifically created.
Seeded FEL with two energy level electron beam distribution at SPARC_LAB

We present the experimental evidence of the generation of coherent and statistically stable Free-Electron Laser (FEL) two color radiation obtained by seeding an electron double peaked beam in time and energy with a single peaked laser pulse. The FEL radiation presents two neat spectral lines, with time delay, frequency separation and relative intensity that can be accurately controlled. The analysis of the emission shows a temporal coherence and regularity in frequency significantly enhanced with respect to the Self Amplified Spontaneous Emission (SASE).
The Effects of a Modeling and Computational Thinking Professional Development Program on STEM Educators’ Perceptions toward Teaching Science and Engineering Practices

Teachers’ integration of the Next Generation Science Standards and corresponding Science and Engineering Practices (SEPs) illustrate current science education reform in the United States. Effective teacher professional development (PD) on SEPs is essential for reform success. In this study, we evaluated the Nebraska STEM Education Conference, a PD program for middle school, high school, and first- and second-year post-secondary STEM teachers. This SEP-oriented PD program focused predominantly on the SEPs ‘developing and using models’ and ‘using mathematics and computational thinking. ’ An electronic survey was used to measure participants’ (n = 45) prior integration of SEPs, influential factors and barriers to using SEPs, and changes to interest and confidence in using SEPs as a result of attending the PD program. Our results showed that teachers had limited prior use of SEPs in their teaching. Student interest and learning outcomes were the factors found to be most influential to teachers’ use of SEPs, while limited knowledge, confidence, and resources were the most commonly identified barriers. As a result of attending the PD program, participants significantly improved their confidence and interest to incorporate SEPs. We recommend continued SEP-oriented PD to foster successful NGSS integration and to advance reforms in science education.
Post-Diagnosis Vitamin D Supplement Use and Survival among Cancer Patients: A Meta-Analysis

Vitamin D administered pre-diagnostically has been shown to reduce mortality. Emerging evidence suggests a role of post-diagnosis vitamin D supplement intake for survival among cancer patients. Thus, we conducted a meta-analysis to evaluate the relationship. PubMed and Embase were searched for relevant observational cohort studies and randomized trials published through April 2022. Summary relative risk (SRR) and 95% confidence interval (CI) were estimated using the DerSimonian–Laird random-effects model. The SRR for post-diagnosis vitamin D supplement use vs. non-use, pooling cohort studies and randomized trials, was 0.87 (95% CI, 0.78–0.98; p = 0.02; I2 = 0%) for overall survival, 0.81 (95% CI, 0.62–1.06; p = 0.12; I2 = 51%) for progression-free survival, 0.86 (95% CI, 0.72–1.03; p = 0.10; I2 = 0%) for cancer-specific survival, and 0.86 (95% CI, 0.64–1.14; p = 0.29; I2 = 0%) for relapse. Albeit not significantly heterogeneous by variables tested, a significant inverse association was limited to cohort studies and supplement use during cancer treatment for overall survival, and to studies with ≤3 years of follow-up for progression-free survival. Post-diagnosis vitamin D supplement use was associated with improved overall survival, but not progression-free or cancer-specific survival or relapse. Our findings require confirmation, as randomized trial evidence was insufficient to establish cause-and-effect relationships.