Miracle-dz/UniFAR-FTUs huggingface dataset:
Information Design for Vehicle-to-Vehicle Communication

The emerging technology of Vehicle-to-Vehicle (V2V) communication over vehicular ad hoc networks promises to improve road safety by allowing vehicles to autonomously warn each other of road hazards. However, research on other transportation information systems has shown that informing only a subset of drivers of road conditions may have a perverse effect of increasing congestion. In the context of a simple (yet novel) model of V2V hazard information sharing, we ask whether partial adoption of this technology can similarly lead to undesirable outcomes. In our model, drivers individually choose how recklessly to behave as a function of information received from other V2V-enabled cars, and the resulting aggregate behavior influences the likelihood of accidents (and thus the information propagated by the vehicular network). We fully characterize the game-theoretic equilibria of this model using our new equilibrium concept. Our model indicates that for a wide range of the parameter space, V2V information sharing surprisingly increases the equilibrium frequency of accidents relative to no V2V information sharing, and that it may increase equilibrium social cost as well.
Immunofluorescence Capillary Imaging Segmentation: Cases Study

Nonunion is one of the challenges faced by orthopedics clinics for the technical difficulties and high costs in photographing interosseous capillaries. Segmenting vessels and filling capillaries are critical in understanding the obstacles encountered in capillary growth. However, existing datasets for blood vessel segmentation mainly focus on the large blood vessels of the body, and the lack of labeled capillary image datasets greatly limits the methodological development and applications of vessel segmentation and capillary filling. Here, we present a benchmark dataset, named IFCIS-155, consisting of 155 2D capillary images with segmentation boundaries and vessel fillings annotated by biomedical experts, and 19 large-scale, high-resolution 3D capillary images. To obtain better images of interosseous capillaries, we leverage state-of-the-art immunofluorescence imaging techniques to highlight the rich vascular morphology of interosseous capillaries. We conduct comprehensive experiments to verify the effectiveness of the dataset and the benchmarking deep learning models (e.g. UNet/UNet++ and the modified UNet/UNet++). Our work offers a benchmark dataset for training deep learning models for capillary image segmentation and provides a potential tool for future capillary research. The IFCIS-155 dataset and code are all publicly available at https://github.com/ncclabsustech/IFCIS-55.
Inertial Hallucinations - When Wearable Inertial Devices Start Seeing Things

We propose a novel approach to multimodal sensor fusion for Ambient Assisted Living (AAL) which takes advantage of learning using privileged information (LUPI). We address two major shortcomings of standard multimodal approaches, limited area coverage and reduced reliability. Our new framework fuses the concept of modality hallucination with triplet learning to train a model with different modalities to handle missing sensors at inference time. We evaluate the proposed model on inertial data from a wearable accelerometer device, using RGB videos and skeletons as privileged modalities, and show an improvement of accuracy of an average 6.6% on the UTD-MHAD dataset and an average 5.5% on the Berkeley MHAD dataset, reaching a new state-of-the-art for inertial-only classiﬁcation accuracy on these datasets. We validate our framework through several ablation studies.
OTT_A_293610 1589..1604

1Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People’s Republic of China; 2Department of Emergency Surgery, Henan Oilfield General Hospital, Nanyang, Henan, 473000, People’s Republic of China; 3Department of Histology and Embryology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan, 450052, People’s Republic of China
A Logical Design Process for Columnar Databases

—Emerging technologies often break paradigms. NoSQL is one of them and is gaining space with the raising of Big Data, where the data volume exceeded the petabyte frontier and the information within these data can be of great importance to strategic decisions. In this case, legacy relational databases show themselves inadequate to efﬁciently manage these data and, consequently, their traditional project methodologies should must be reviewed to be suitable to new data models, such as the NoSQL columnar model. Regarding columnar database design, the literature lacks of methodologies for logical design, i.e., processes that convert a conceptual schema to a logical schema that optimize access and storage. Thus, this work proposes an approach for logical design of columnar databases that contributes to ﬁll the void between classic project methodologies and the technological forefront with the NoSQL movement, in particular, columnar databases. Preliminary experiments had demonstrated that the methodology is promising, if compared with a baseline.
Strain measurements on compliant knitted mesh used in space antennas, by means of 2D Fourier analysis

The paper presents a strain measurement technique to be applied on repetitive knitted nets. The application of the procedure is focused on large deployable reflectors used in space applications. Manufacturing of these structures involves knitting of thin metallic wires. Besides space antennas, the method herein developed is advantageous for many other types of knitted tissues such as elastic coatings, elastic bandages for medical applications, or any other woven fabric requiring a defined elastic behaviour. All of them display an almost regular repetitive pattern whose variations due to imposed loads are the core of the method. Deformation of such kind of structural elements must be analysed in two dimensions, because the knitting causes an accentuated orthotropic behaviour. Strain measurement is tricky and requires special computational techniques. Indeed, the application of standard experimental methods and indirect strain determination, through well‐established image analysis algorithm, can be totally unsuccessful or unsuitable because of the lack of continuity of these structures. The paper presents a method based on two‐dimensional Fourier analysis. Numerical examples, supported by some experimental evidences, confirm the feasibility of the technique. Furthermore, a newly proposed frequency zooming algorithm, based on fast Fourier transform, makes the computational costs of the indirect strain measurement affordable.
Compact Multi Bit Slotted C-Scatterer for Threshold Sensitive Chipless Wireless Temperature Sensor

This paper presents a novel compact scatterer structure for a passive chipless wireless temperature threshold sensor. The structure is based on a single C-scatterer with multiple embedded slots; each slot forms a sub-scatterer dedicated to resonating in one regulated band. This structure has the advantage of increasing the data capacity without increasing the number of scatterers, which results in a more compact sensor size. The sensing principle is based on the detuning of the resonance frequency peaks of the backscattered signal from the slotted scatterer due to temperature variations. For the first time, this work demonstrates the design of a passive chipless sensor while at the same time respecting the conventional radio frequency (RF) emission regulations. The sensor only exploits the allowed bands: European Telecommunications Standards Institute (ETSI) and Industrial, Scientific and Medical (ISM). Sensitivity measurement results show sensitive characteristics in the order of 10−4 GHz/°C in accordance with the theoretical predictions.
Cell Nanobiology

We define cell nanobiology as an emergent scientific area trying to approach the study of the in situ cell processes ocurring at the nanoscale. Therefore, it is part of cell biology but mainly deals with an interphase between analytical methods such as X-ray crystallography producing models at atomic or molecular resolution, and direct nanoscale imaging with high resolution microscopes such as scanning probe microscopes, electron microscopes and super-resolution microscopes. Several cell structures are involved in nanoscale processes (Figure 1).
Recent Advances in CRISPR/Cas9 Delivery Strategies

: The clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 system has revolutionized the field of gene editing. Continuous efforts in developing this technology have enabled efficient in vitro, ex vivo, and in vivo gene editing through a variety of delivery strategies. Viral vectors are commonly used in in vitro, ex vivo, and in vivo delivery systems, but they can cause insertional mutagenesis, have limited cloning capacity, and/or elicit immunologic responses. Physical delivery methods are largely restricted to in vitro and ex vivo systems, whereas chemical delivery methods require extensive optimization to improve their efficiency for in vivo gene editing. Achieving a safe and efficient in vivo delivery system for CRISPR/Cas9 remains the most challenging aspect of gene editing. Recently, extracellular vesicle-based systems were reported in various studies to deliver Cas9 in vitro and in vivo. In comparison with other methods, extracellular vesicles offer a safe, transient, and cost-effective yet efficient platform for delivery, indicating their potential for Cas9 delivery in clinical trials. In this review, we first discuss the pros and cons of different Cas9 delivery strategies. We then specifically review the development of extracellular vesicle-mediated gene editing and highlight the strengths and weaknesses of this technology.
Effect of non-uniform illumination and temperature distribution

10 Concentrated photovoltaic (CPV) technology as a typical PV application is 11 becoming popular due to its advantages of high conversion efficiency and low cost etc. 12 However an important issue for CPV technology is the non-uniformity on the 13 illumination and the temperature which can finally influence the overall electrical 14 efficiency of solar cells. This study presents the feature of the non-uniform 15 illumination and temperature, and reviews the cause and harm of the non-uniform 16 illumination and temperature. Then the specific effect on cell parameters of different 17 solar cells is analyzed, and finally the improving methods for reducing this negative 18 effect on concentrating solar cells are proposed. This review will help researchers to 19 learn the effect of the non-uniformity on the illumination and the temperature, and 20 common improvement method, which will benefit CPV design and optimization. 21 22 *Revised Manuscript with No Changes Marked Click here to view linked References
[Re] Faster Teaching via POMDP Planning

— We partially replicated the model described by Rafferty et al. to optimize automated teaching via POMDP planning. Teaching is formulated as a partially observable Markov decision process (POMDP) in which the teacher operates and plans actions based on the belief that reflects the learnerʼs state. The automated teacher employs a cognitive learner model that defines how the learnerʼs knowledge state changes.Two concept learning tasks are used to evaluate the approach: (i) a simple letter arithmetic task with the goal of finding the correct mapping between a set of letters and numbers, and (ii) a number game , where a target number concept needs to be learned. Three learner models were postulated: a memoryless model that stochastically chooses a matching concept based on the current action, a discrete model with memory that additionally matches concepts with previously seen actions and a continuous model with a probability distribution over all concepts that eliminates inconsistent concepts based on the actions. We implemented all models and both tasks, and ran simulations following the same protocol as in the original paper. We were able to replicate the results for the first task with comparable results except for one case. In the second task, our results differ more significantly. While the POMDP policies outperform the random baselines overall, a clear advantage over the policy based on maximum information gain cannot be seen. We open source our implementation in Python and extend the description of the learner models with explicit formulas for the belief update, as well as an extended description of the planning algorithm, hoping that this will help other researchers to extend this work.
IMPROVED ALGORITHM FOR AUTOMATIC TEMPERATURE SCREENING

Although temperature cameras cannot be used to detect infection or the existence of viruses, temperature cameras can be used to detect elevated body temperatures. The FLIR temperature scanner has long been used in public places, such as airports, train terminals, business establishments, factories, and skin surface measurements, as an effective tool and Elevated Body Temperature (EBT) Is helpful in identifying individuals. Affected by the global outbreak of Corona virus disease (COVID-19), it has been officially identified as an epidemic. Society is deeply concerned about the spread of infection, and is eventually looking for tools to stop the spread of the virus. The FLIR camera can be used as a screening tool to detect the increased skin temperature in the highest traffic public places through rapid individual screening. If the skin temperature is found above the average temperature in major body locations, such as the corner of the eye, and forehead, then the individual may be selected for additional screening. It is necessary to identify individuals with EBT, who should then be sent to a virus-specific diagnostic testing center for examination. This may help in reducing the spread of viruses, and infections. All the methods available to measure body temperature are all based on edge detection. These methods are very sensitive to noise, and in these the system of noise reduction is quite complex. Therefore, an automated method is being introduced to measure the temperature of the corner of the Eye and Forehead using the "salt and pepper" and "colormap" method, which is less complex, and still has high accuracy.
Attribute preference and priming in reference production

Referring expressions (such as the red chair facing right ) of- ten show evidence of preferences (Pechmann, 1989; Belke & Meyer, 2002), with some attributes (e.g. colour) being more frequent and more often included when they are not required, leading to overspeciﬁed references. This observation underlies many computational models of Referring Expression Generation, especially those inﬂuenced by Dale & Reiter’s (1995) In- cremental Algorithm. However, more recent work has shown that in interactive settings, priming can alter preferences. This paper provides further experimental evidence for these phe-nomena, and proposes a new computational model that in- corporates both attribute preferences and priming effects. We show that the model provides an excellent match to human ex- perimental data.
Smart Grid Vendée project: a decision-support tool for the multi-year planning of active distribution networks

This paper presents a decision-support tool under development to plan the expansion stages of mediumvoltage networks using local flexibilities. Currently tested in the Smart Grid Vendée project, this tool aims to help Enedis, the main distribution system operator in France, to optimally develop the distribution grid in the medium/long term. A case study based on a French medium-voltage network is presented to show how the proposed tool works and could help Enedis in the decision making process.
Baltimore Housing Prices Disparity for Comparable Neighborhoods: A Case for Enabling Interactive, Visual Exploration of Neighborhoods

As government agencies increasingly make public data available online, it provides opportunities to leverage such data for descriptive, predictive and prescriptive analytics. One domain where these technological capabilities are ap-plicable is real-estate development and housing market domain. This domain is of interest to home buyers, investors and policy makers. Diverse and varying preferences of residents of a geography are latent behavioral factors that affect residential property prices. This paper describes a geographical area agnostic housing typology classiﬁer for Baltimore City communities or neighborhoods. Further, it discussed correlation analysis and composite Vital Signs scores to characterize city population perceptions of different community development categories. These scores enable community clustering to investigate price disparity in comparable communities based on conﬁgurable categories and year-on-year trend analysis. Various visualization possibilities are discussed in conjunc-tion with these approaches to make a case for interactive, visual exploration of geographical communities which may be extended to comparative analysis across geographies.
Dosimetric Feasibility of Magnetic Resonance Imaging Guided, Tri- 60 Co Stereotactic Body Radiotherapy for Non-Small Cell Lung Cancer

Purpose: To provide a dosimetric comparison of lung stereotactic body radiotherapy (SBRT) for NSCLC between an integrated three-source 60 Co, Magnetic Resonance Image Guided Radiation Therapy (MR-IGRT) system and traditional LINAC based planning. Materials and Methods: Ten patients with NSCLC, previously treated with LINAC based SBRT, were included. Patients received prescription doses of 48Gy/4fx for peripheral lesions and 50Gy/5fx for central lesions. All LINAC-based SBRT plans were generated using volumetric modulated arc therapy (VMAT). Three-source 60 Co plans were generated using step-and-shoot IMRT and used Monte Carlo dose calculation including the magnetic field correction for 0.35T. The plans were evaluated using dose-volume indices for PTV and OARs. Results: For peripheral lesions, the MR-IGRT met 86% of dose constraints while the LINAC plans met 89% of dose constraints (p=0.77). For central lesions, the MR-IGRT met 87% of dose constraints while the LINAC plans met 93% of dose constraints (p=0.29). Lung dose constraints were met for all peripheral lesions while 2 patients with central lesions were unable to meet the 13.5Gy<1000cc criteria with the MR-IGRT while all patients met the dose constraint with the LINAC plans. Regardless of location, on average, MR-IGRT based plans had larger low dose lung volumes compared the LINAC-based SBRT plans. Conclusion: A three-source 60 Co integrated MR-IGRT system produced lung SBRT plans comparable with LINAC-based treatment. Further studies are needed to evaluate benefits of this novel MR-IGRT system for lung SBRT; especially examining its ability to image and plan in real time and adaptive treatment delivery.
Control of JunB and Extracellular Matrix Protein Expression by Transforming Growth Factor-1l Is Independent of Simian Virus 40 T Antigen-Sensitive Growth-Inhibitory Events

Treatment of MvILu mink lung epithelial cells with transforming growth factor-,ll (TGF-Il1) prevents phosphorylation of the retinoblastoma susceptibility gene product, RB, in late G1 phase of the cell cycle, which is thought to retain RB in a growth-suppressive state. This effect is paralleled by cell cycle arrest in late G1 (M. Laiho, J. A. DeCaprie, J. W. Ludlow, D. M. Livingston, and J. Massague, Cell 62:175-185, 1990). Arrest can be prevented by expression of simian virus 40 T antigen, which binds to underphosphorylated RB, presumably blocking its growth-suppressive activity. The response of cells to TGF-IV1, however, is complex and includes changes in the levels of expression of genes encoding nuclear transcription factors and extracellular matrix components. To define the relationships among various components of the TGF-IV1 response, we have investigated the ett (-t of TGF-131 on cells whose growth-inhibitory response to this factor is prevented by T antigen. TGF-,1 t4ki,L! tion to exponentially growing MvlLu cells increased the levels of junB mRNA and of three extracellular *iniairix proteins: plasminogen activator inhibitor-1, fibronectin, and thrombospondin. Kinetically, the eft ict% onjunB and plasminogen activator inhibitor-i expression occurred faster (half-maximal at 1 to 2 h) than tii; delects on fibronectin and thrombospondin expression (half-maximal at 6 to 10 h). These effects either prest,h:d or overlapped, respectively, the withdrawal of MvlLu cells from the cell cycle. Expression of a tra x fected T-antigen gene in MvlLu cells, however, did not prevent any of these responses to TGF-,B1. The results indicate that TGF- 1 -stimulated expression of junB and extracellular matrix proteins in MvILu cells can occur independently of the T-antigen-sensitive events that lead to growth arrest.
Biofunctional signi cance of multi-herbal combination against paracetamol-induced hepatotoxicity in Wistar rats

Pardeep Kaur Guru Nanak Dev University Robin Shergill (  robinbot.rsh@gndu.ac.in ) Guru Nanak Dev University and Khalsa College for Women, Amritsar https://orcid.org/0000-0001-67780740 Rajendra G. Mehta IIT Research Institute and Illinois Institute of Technology Balbir Singh (  balbir_gndu@yahoo.com ) Guru Nanak Dev University Saroj Arora (  sarojarora.gndu@gmail.com ) Guru Nanak Dev University
Conspeci ﬁ city of Phintella aequipeiformis Zabka, 1985 and P. lucai Zabka, 1985 (Araneae: Salticidae) con ﬁ rmed by DNA barcoding

: Phintella aequipeiformis Zabka, 1985 was described from a male and P. lucai Zabka, 1985 from a female, but the opposite sex of each nominal species remained unknown. Both were collected from the same habitats of the same localities in our ﬁ eld work, and they share some similarities in the body color pattern. Moreover, our results from DNA barcoding show that both are one and the same species. We therefore place P. lucai in the synonymy of P. aequipeiformis , and provide a redescription of the species on the basis of both sexes.
On Demand Routing Protocols in MANET

— A Mobile Ad Hoc Network (MANET) is a network consisting of a set of mobile hosts capable of communicating with each other without the assistance of base stations. The dynamic topology of a mobile ad hoc network poses a real challenge in the design of a MANET routing protocol. Over the last 10 years, a variety of routing protocols have been developed and their performance simulations are made by network researchers. An efficient approach is to consider routing algorithms in which network connectivity is determined in the process of establishing routes. The shortest path (based on a given cost function) from a source to a destination in a static network is usually the optimal route, this idea is not easily extended to MANET. Factors such as power expended, variable wireless link quality, propagation path loss, fading, multi-user interference, and topological changes, become relevant issues. The network should be able to adaptively alter routing paths to alleviate any of these effects. Hence, Performance is an interesting issue for different protocols. This paper describes some special characteristics of ad hoc on-demand routing protocols like DSR, AODV, and TORA, with their working and performance measurements of these protocols.