Miracle-dz/UniFAR-FTUs huggingface dataset:
CAD Software Tools Employed in a Reverse Engineering Application: a Fan Propeller Model Reconstruction

Reverse Engineering (RE) is a technology that allows the creation of virtual models from real parts. Therefore, it is possible to produce new parts, products, and assemblies based on existing physical models. In addition, the RE allows correction and improvement of models, product inspection, and the documentation of parts information. However, quick and practical methods must be established during the production chain, in which the entire technological apparatus must be used in the best possible way, with the intention of providing adequate information and material flow. The availability of reference materials is important for the exchange of information and popularization of this process, benefiting several academics, professionals, and companies, who see in the benchmark process a fundamental piece for solving problems. Therefore, in this paper, a RE based approach is proposed to aid the creation of a digital model from an already existing physical model. The main objective was to deploy some main available software tools to establish a generic method to reconstruct a digital model from a damaged part. Each stage of this process was detailed and analyzed as it represents one more important part of the RE.
Deep Transfer Learning for Location-Aware Millimeter Wave Beam Selection

The main bottleneck for using deep neural networks in location-aided millimeter wave beam alignment procedures is the need for large datasets to tune their large set of trainable parameters. This letter proposes to use the transfer learning technique in order to reduce the dataset size requirements in deep-learning based beam selection. Information transfer can be done from one environment to another, or from one antenna configuration to another, which we refer to as domain and task adaptation, respectively. Numerical evaluations show a significant gain in using transfer learning in both domain and task adaptation scenarios, especially with limited datasets.
Enhancement of LEACH Based on K-means Algorithm and Stochastic Optimization

In Wireless Sensor Networks (WSNs), maximizing the life of the Sensor Nodes (SNs), and energy conservation measures are essential to enhance the performance of the WSNs. A Low-Energy Adaptive Clustering Hierarchy (LEACH) routing protocol has been proposed specifically for WSNs to increase the network lifetime. However, in LEACH protocol the criteria for clustering and selecting Cluster Heads (CHs) nodes were not mentioned. Accordingly, researchers have been focusing on ways to strengthen the LEACH algorithm to make it more efficient. In this paper, we propose to improve the LEACH protocol by combining the use of K-means algorithm for clustering and Slime Mould Algorithm (SMA), a new stochastic optimization to select nodes as CHs. The proposed routing algorithm, called SMA-LEACH, is superior to other algorithms, namely PSO-LEACH, BA-LEACH, which using Particle Swarm Optimization (PSO), Bat Algorithm (BA) to improve LEACH, respectively. Simulation analysis shows that the SMA-LEACH obviously reduces network energy consumption and extends the lifetime of WSNs.
User experience evaluation method based on online product reviews

Evaluating the quality of the user experience (UX) of existing products is important for new product development. Conventional UX evaluation methods, such as questionnaire, have the disadvantages of the great subjective influence of investigators and limited number of participants. Meanwhile, online product reviews on e-commerce platforms express user evaluations of product UX. Because the reviews objectively reflect the user opinions and contain a large amount of data, they have potential as an information source for UX evaluation. In this context, this study explores how to evaluate product UX through using online product reviews. A pilot study is conducted to define the key elements of a review. Then, a systematic method of product UX evaluation based on reviews is proposed. The method includes three parts: extraction of key elements, integration of key elements, and quantitative evaluation based on rough number. The effectiveness of the proposed method is demonstrated by a case study using reviews of a wireless vacuum cleaner. Based on the proposed method, designers can objectively evaluate the UX quality of existing products and obtain detailed suggestions for product improvement.
Study on the surface features of Preg-Robbing carbonaceous matter during oxidation treatment

Carbonaceous gold ores have the ability to adsorb gold (I) cyanide from leach solutions during processing. This phenomenon, known as preg-robbing, is responsible for poor recoveries as the carbonaceous materials of the ore compete with activated carbon used during the leaching and adsorption phase of processing. Chemical oxidation of carbonaceous materials by different reagents has been utilized to investigate and compare the mechanism of Au (CN)2 adsorption onto carbonaceous materials prior to and following the treatment. The procedure for characterization of the carbonaceous materials (plain and modified) in the sample combines the use of several analytical techniques and test assays such as Scanning Electron Microscope (SEM), X-ray photoelectron spectroscopy (XPS), Brunauer–Emmett–Teller (BET), Time-of-Flight Secondary Ion Mass Spectrometry (ToFSIMS), Raman spectroscopy, Ultraviolet visible (UV-Vis) and Atomic Absorption (AA) in order to provide complete information on all the variables affecting preg-robbing capacity, namely its composition, degree of C disorder, surface area and surface chemistry. This thesis investigated the surface chemistry and surface structure of various carbonaceous materials in the context of factors governing adsorption characteristics towards providing a better estimation of the preg-robbing capacity and strategies for its reduction.
EMERGING TRENDS IN INFORMATION AND COMMUNICATION TECHNOLOGIES FOR SMART HEALTHCARE SYSTEM

: Currently, Technology is transforming the entire world into a sophisticated scientific arena, and the healthcare sector is no exception. With the implementation of information technology, hospitals can improve the quality of healthcare and lower their operational costs. Also, with the use of technology, the healthcare industry has been able to bridge the gap between rural and urban areas. With the right tools, Medical Profession can ensure providing better and more efficient care to their patients. The healthcare sector faces various challenges such as storing medical records of patients, maintaining hospital information systems, maintaining medical equipment, records of any medication errors, and related. Now, hospitals rely on ICT in transforming the entire healthcare revamping process. If the medical profession has the right communication channels, it is easy for them to provide treatment and care to patients wherever they are and in whichever part of the world. ICT technology helps physicians continuously monitor patient medical history, diagnostic reports, and track current health status. Doctors can also interact with patients and recommend physical exams and prescriptions from a distance. In this paper, the latest trends in information and communication technology in healthcare are being discussed.
Fine Wrinkling on Coarsely Meshed Thin Shells

We propose a new model and algorithm to capture the high-definition statics of thin shells via coarse meshes. This model predicts global, fine-scale wrinkling at frequencies much higher than the resolution of the coarse mesh; moreover, it is grounded in the geometric analysis of elasticity, and does not require manual guidance, a corpus of training examples, nor tuning of ad hoc parameters. We first approximate the coarse shape of the shell using tension field theory, in which material forces do not resist compression. We then augment this base mesh with wrinkles, parameterized by an amplitude and phase field that we solve for over the base mesh, which together characterize the geometry of the wrinkles. We validate our approach against both physical experiments and numerical simulations, and we show that our algorithm produces wrinkles qualitatively similar to those predicted by traditional shell solvers requiring orders of magnitude more degrees of freedom.
HYBRID DISTRIBUTED GENERATION SYSTEMS USING A DC MICROGRID

Keeping in mind the end goal to think about the vulnerability and irregular attributes of wind power and wave power, this paper proposes a coordinated breeze and wave power age framework nourished to an air conditioner power matrix or associated with a separated load utilizing a dc microgrid. The proposed dc microgrid interfaces with a breeze power generator through a voltagesource converter (VSC), a wave power generator through a VSC, an energy stockpiling battery through a bidirectional dc/dc converter, a resistive dc stack through a heap dc/dc converter, and an air conditioner power framework through a bidirectional network tied inverter. The concentrated coordinated breeze and wave framework joined with the dc microgrid is demonstrated and mimicked utilizing the composed program in light of MATLAB/Simulink. Root-loci plots of the examined framework under different rates of the wave generator are investigated. To look at the central working qualities of the concentrated coordinated framework joined with the dc microgrid, a lab scale stage is likewise settled. Relative recreation and trial comes about uncover that the concentrated incorporated framework can keep up stable operation to supply power under various working conditions utilizing the proposed dc microgrid.
Assessing Bias in Medical AI

Machine learning and artiﬁcial intelligence are increasingly deployed in critical societal functions such as ﬁnance, media and healthcare. Along with their deployment come increasing reports of their failure when viewed through the lens of ethical principles such as fairness, democracy and equal opportunity. As a result, research into fair algorithms and mitigation of bias in data and algorithms, has surged in recent years. However, while it might seem clear what fairness entails, and how to achieve it, in some applications, established concepts do not translate directly to other domains. In this work, we consider healthcare speciﬁcally, illustrating limitations and challenges of fair models within medical applications and give recommendations for the development of AI in healthcare.
OCTAVIU ́S ETHOS IN THE TV SHOW ROME (HBO)

The present piece composes the framework known within the Classical Studies as a reception analysis, that is, a study that, as presented by Martindale (2006, p. 1-2), links the ancient world and other historical periods, showing that ancient discourses are not confined in their own time, having a complex chain of connections between them and the most diverse media, including television, as here uit is analyzed. In this process, it is emphasized that the relations between the old statements and their later appropriations are produced at the point of reception, in which the reader is essencial in the interpretive process. In this article, I look at the character Otavio from HBO's Rome series, seeking to highlight the application of an ethos proposed for the character, of an intelligent boy, prodigy, demonstrating an element already used in the Ancient literary tradition to make up the image of the future princeps. To do so, I use Bourdieu's concept of cultural capital to argue about the process of creating the show, and I also make use of some ancient texts, such as Suetonius' Life of Augustus and Cicero’s Phillipics.
JNK isoforms control adult mammal hippocampal neurogenesis

In mammals, the term "Adult Neurogenesis” (AN) defines the process through which, throughout adulthood, new neurons are produced from neural stem cells (NSC). These NSC are located in a specific niche, concretely, in the subventricular zone (SVZ), lining the lateral ventricles, and in the subgranular zone (SGZ) in the dentate gyrus (DG) of the hippocampus. Controversially, new data have questioned the existence of this AN in the human brain seeing how only populations of immature neurons (IN), broadly dispersed within SGZ, have been detected. Either way, neurogenic activity in the hippocampus has been correlated with learning, memory formation and behavioral responses to stress, just like with the pathophysiology of many brain diseases and mood disorders. Various extracellular and intracellular stimuli have been shown to modulate survival, proliferation, and differentiation of adult-born cells in the hippocampus, especially through conserved stimuli-response mechanisms like the JNKs. In the present review, the JNK pathway and their control of adult hippocampal neurogenesis are described, evidencing the critical role of isoform JNK1.
Integrating Everyday Proxy Objects in Multi-Sensory Virtual Reality Storytelling

We describe design research on the use of multiple physical proxy objects to create an engaging and compelling virtual reality experience. Physical proxies, such as a camera prop that integrates a help system into the storyline, enhance tactile immersion and may result in improved presence. We use plausible storytelling elements tied to passive haptics and reuse a single tracking device to track multiple physical proxies. This is a re-submission of an accepted paper from last year.
Availability of the Molecular Switch XylR Controls Phenotypic Heterogeneity and Lag Duration during <named-content content-type='genus-species'>Escherichia coli</named-content> Adaptation from Glucose to Xylose

The glucose-xylose metabolic transition is of growing interest as a model to explore cellular adaption since these molecules are the main substrates resulting from the deconstruction of lignocellulosic biomass. Here, we investigated the role of the XylR transcription factor in the length of the lag phases when the bacterium Escherichia coli needs to adapt from glucoseto xylose-based growth. First, a variety of lag times were observed when different strains of E. coli were switched from glucose to xylose. These lag times were shown to be controlled by XylR availability in the cells with no further effect on the growth rate on xylose. XylR titration provoked long lag times demonstrated to result from phenotypic heterogeneity during the switch from glucose to xylose, with a subpopulation unable to resume exponential growth, whereas the other subpopulation grew exponentially on xylose. A stochastic model was then constructed based on the assumption that XylR availability influences the probability of individual cells to switch to xylose growth. The model was used to understand how XylR behaves as a molecular switch determining the bistability set-up. This work shows that the length of lag phases in E. coli is controllable and reinforces the role of stochastic mechanism in cellular adaptation, paving the way for new strategies for the better use of sustainable carbon sources in bioeconomy. IMPORTANCE For decades, it was thought that the lags observed when microorganisms switch from one substrate to another are inherent to the time required to adapt the molecular machinery to the new substrate. Here, the lag duration was found to be the time necessary for a subpopulation of adapted cells to emerge and become the main population. By identifying the molecular mechanism controlling the subpopulation emergence, we were able to extend or reduce the duration of the lags. This work is of special importance since it demonstrates the unexpected complexity of monoclonal populations during growth on mixed substrates and provides novel mechanistic insights with regard to bacterial cellular adaptation.
Effect of Ownership Composition on Property Prices and Rents: Evidence from Chinese Investment Boom in US Housing Markets

A capital influx into local housing markets would be expected to increase house prices, but the spillover effect onto rental prices is theoretically ambiguous. I estimate both price impacts in U.S. residential housing markets using data from a boom in real estate purchases by buyers from China, which amounted to $200 billion of purchases made between 2010 and 2019. Using a novel method to measure these purchases and an instrumental variable for where purchases are made, I find a large positive house price impact. Consistent with investment q-theory, rents fall as constructions rise, especially in areas with elastic housing supply. ∗Federal Reserve Bank of Chicago (email: jung.sakong@chi.frb.org). These views are those of the author and do not reflect those of the Federal Reserve Bank of Chicago or the Federal Reserve System. I am extremely grateful to my committee chair Amir Sufi and members Marianne Bertrand, Raghuram Rajan and Luigi Zingales for their continuous guidance and support. I also thank Nate Anderson, Jane Dokko, Lancelot Henry de Frahan, Lars Hansen, Paymon Khorrami, Helen Koshy, Canice Prendergast, Vincent Reina, Alex Zentefis, as well as seminar participants at the University of Chicago Economic Dynamics Working Group, Finance Brownbag, PhD Conference on Real Estate and Housing at the Ohio State University, Federal Reserve Bank of Chicago finance seminar, Virtual Urban Economics Association Meeting and HKU joint Finance-Econ seminar. All errors are my own.
Air‐Stable Cesium Lead Iodide Perovskite for Ultra‐Low Operating Voltage Resistive Switching

CsPbX3 (X = halide, Cl, Br, or I) all‐inorganic halide perovskites (IHPs) are regarded as promising functional materials because of their tunable optoelectronic characteristics and superior stability to organic–inorganic hybrid halide perovskites. Herein, nonvolatile resistive switching (RS) memory devices based on all‐inorganic CsPbI3 perovskite are reported. An air‐stable CsPbI3 perovskite film with a thickness of only 200 nm is successfully synthesized on a platinum‐coated silicon substrate using low temperature all‐solution process. The RS memory devices of Ag/polymethylmethacrylate (PMMA)/CsPbI3/Pt/Ti/SiO2/Si structure exhibit reproducible and reliable bipolar switching characteristics with an ultralow operating voltage (<+0.2 V), high on/off ratio (>106), reversible RS by pulse voltage operation (pulse duration < 1 ms), and multilevel data storage. The mechanical flexibility of the CsPbI3 perovskite RS memory device on a flexible substrate is also successfully confirmed. With analyzing the influence of phase transition in CsPbI3 on RS characteristics, a mechanism involving conducting filaments formed by metal cation migration is proposed to explain the RS behavior of the memory device. This study will contribute to the understanding of the intrinsic characteristics of IHPs for low‐voltage resistive switching and demonstrate the huge potential of them for use in low‐power consumption nonvolatile memory devices on next‐generation computing systems.
Simulated fatigue and wrinkle synthesis for clothing appearance design

This research investigates the use of cloth simulation in the design of clothing that includes purposeful fatigue and wrinkle effects. Modern clothing manufacturers distress and process garments in a variety of ways, such as artificial wear, or wrinkle-based dying. This work showcases a set of processes that exploit simulated wrinkle and collision histories recorded from in custom animations in order to synthesize information useful in generating the visual appearance of a variety of related wear and wrinkle effects.
Association Between Rectal Colonization and Risk of Blood Stream Infection with Acinetobacter Baumannii in Neonates

Objective: Gastrointestinal colonization has been proposed as an important risk factor for subsequent Acinetobacter Blood Stream Infection (ACB-BSI) septicemia, however its association in neonates remains unproven. Material and methods: In this cohort study, we obtained rectal swabs from all neonates, admitted to Neonatal Intensive Care Unit (NICU) within 48 hours of their stay. Their rectal swabs were repeated at weekly intervals until they either develop ACB-BSI or were shifted out of NICU (whichever was earlier). Results: A total of 250 rectal swabs were obtained from 155 neonates. Nineteen neonates were colonized with Acinetobacter baumanii (24 positive rectal swabs). Out of these 19 neonates, 4 (21%) developed ACB-BSI. Amongst 136 noncolonized neonates, 8 (5.8%) developed ACB-BSI. Gut colonization with Acinetobacter baumanii was associated with a significantly higher risk of subsequent ACB-BSI [RR 3.6 (95% CI 1.210.7), p-value 0.02]. Out of 12 isolates of ACB, 11 (4 isolates in cases and 7 in controls) were extremely drug resistant. Three of four neonates, who developed ACB-BSI after gut colonization, died. Conclusions: Rectal colonization with ACB showed a significant association with subsequent risk of Acinetobacter baumanii blood stream infection in neonates admitted in NICU. A very high incidence of extremely drug-resistant Acinetobacter baumanii was reported.
Plant Science Today

The human population is predisposed to some considerable amounts of radiation especially ionizing radiation which may negatively impact their metabolic processes. Herbal extracts can mitigate these harmful effects. Therefore, this study aims to investigate the protective effect of n-Hexane extracts of Telfairia occidentalis and Cucumeropsis mannii seeds oils against radiation-mediated oxidative stress in Wistar rats. Sixty male rats were randomly distributed into six groups of six animals each and n-hexane extracts of T. occidentalis and C. mannii were administered at a dose of 2.4 or 4.8 mg/kg b. wt. , orally for 7 days before irradiation and 10 days after irradiation, when they were sacrificed. Lipid peroxidation was measured, hepatic antioxidant status; SOD, CAT, GSH, Gpx and GST were estimated. The activities of liver enzymes: ALT, AST and ALP were measured and histological examination of sections of the liver was carried out. Radiation significantly increased MDA levels, SOD, GPx, AST, ALT and ALP activities but reduced body weights, total proteins, CAT, GSH and GST activities. Administration of the extracts significantly reduces the levels of MDA, SOD, GPx, ALT, AST and ALP activities while they increase the activities of CAT, GSH and GST at a dosage of 4.8 mg/kg. Histological examination showed increased levels of toxicity in radiated and groups administered 2.4 mg/kg extracts. From these findings, extracts of T. occidentalis and C. mannii at 4.8 mg/kg b. wt are effective herbal remedies in the prevention and amelioration of the consequences of oxidative stress due to exposure to ionizing radiation.
Breathing Difficulties Among Adolescent Athletes – Previous Experience and Upcoming Threats

Exercise is one of the most common factors triggering cough, dyspnea, or breathing difficulties in otherwise healthy children. This condition is called Exercise-Induced Bronchoconstriction (EIB), a frequent phenomenon among early adolescent athletes. EIB symptoms include cough, wheeze, chest tightness, and dyspnea during or after physical activity. Physicians often underestimate the number of adolescents suffering from EIB; many athletes remain undiagnosed and untreated. In this article, we argue that the complexity of diagnosing EIB is greater for adolescent athletes than it is for adults due to a reduced capacity of adolescents to feel and understand symptoms. Furthermore, adolescents experience greater difficulty reporting any such symptoms of EIB to medical authorities. Chronic exposure to bronchospasm-inducing factors may be associated with the development of asthma. On the other hand, the beneficial effect of physical effort, especially for children with well-controlled symptoms, permits young people to perform physical exercises, even at the elite level [1].