Miracle-dz/UniFAR-FTUs huggingface dataset:
Unmanned Aerial Vehicle-based Detection of illegally parked vehicles

: UAV’s alternatively known as drones as used in many fields across various industries. They are used in delivery, sports, surveillance, professional photography, cinematography, military combat, natural disaster assistance security, and the fields using these are growing day by day. Adding computer programs and artificial intelligence into daily life and drone as supporting vision would solve many problems of day to day life. In Mumbai due to daily increase in the number of vehicles, parking has become a major concern of the society, many people park vehicle in unusual manner and even if they find an no parking zone at the spot. For any traffic official to visit each spot would be difficult and there is no manpower for the same using any system which automatically process this would solve the problem by capturing the data, processing it automatically and sending automated actions to the end user.
Available online at: MOLECULAR BASED DETECTION OF A PIK3C3 (PHOSPHATIDYLINOSITOL 3-KINASE) GENE VARIATIONS IN T2D PATIENTS OF TABUK-SAUDI ARABIA .

: Background : The PI3K pathway is commonly dysregulated in different diseases such as cancer, with the most common events being mutation or increased gene copy numbers of PIK3CA or other PI3K isoforms, loss of expression of the pathway suppressors (for example, PTEN), or hyperactivation of RTKs through receptor overexpression or activating mutations. Several gene polymorphisms have been frequently associated with the onset of T2D. Therefore the aim of this study was to optimize molecular based assay for the detection of PIK3C rs121913281 C>T gene variation in T2D patients. Methodology : This study was conducted on 60 samples among which 30 were T2D patients and 30 were healthy controls. DNA was extracted by Qiagen Kit and AS-PCR system was optimized to detect PIK3C rs121913281 C>T gene variation in T2D patients. Results: This study was conducted on 60 samples among which 30 were T2D patients and 30 were healthy controls. The 30 newly diagnosed T2D patients. AS-PCR system was optimized to detect PIK3C rs121913281 C>T gene variation in clinically confirmed cases of T2D patients and healthy controls. The technique was successfully optimized by using wild-type or mutant-type primers with matched or one-base mismatched to examine the known SNPS in PIK3C rs121913281 C>T. Result indicated that AS-PCR technique can be used as a potential molecular tool in the detection of potential PIK3C gene variations in T2Ds. Conclusion : Allele Specific-PCR for PIK3CA- rs121913281 C>T gene variation was successfully optimized. The assay proved to be fast, accurate, simple and economical that does not entail any special equipment other than a thermocycler and gel documentation system. The 30 newly diagnosed T2D patients. Of 30 consecutive T2D patients, 7 (24.44%) were below or equal to 30 years age and 23 (76.66%) were above 30 years of age. Of 30 consecutive T2D patients, 20 (66.66%) were males and 10 (33.44%) were females. The 30 healthy controls 18 (60%) were males and 12 (40%) were females. Out of 30 controls, 20 (66.66%) were below or equal to 30 years age and 10 (33.44%) were above 30 years of age.
East African Journal of Arts and Social Sciences

The art of millinery has been in decline despite its significant contribution to the performance of fashion design students in the industry. This study investigated the prerequisite skills of HND fashion design students in the acquisition of millinery art skills in technical universities in Ghana. The sample consisted of 249 HND level 200 students and 31 millinery art lecturers from five selected Technical Universities. The study employed multistage and stratified sampling methods to gather data from the participants. Data was gathered through the utilisation of an interest inventory and a semi-structured interview guide. The study data was analysed using frequency tables to assess the relationship between prerequisite skills and the acquisition of millinery art skills. A Chi-square
Efficient Algorithms for Service Chaining in NFV-Enabled Satellite Edge Networks

—Satellite-terrestrial networks are emerging as the next-generation networking paradigm for Beyond-5G (B5G) and 6G networks. Meanwhile, Mobile Edge Computing (MEC) is envisioned as the key technology to provide network services within the proximity of users, by deploying computing resource in ground locations that are close to users. With the fast deployment of Low-Earth-Oribt (LEO) satellites, a new paradigm of MEC is emerging by enabling LEO satellites serving as edge servers in lower orbits that are close to ground users. In this way, the ground users can be further served by LEO satellites in lower orbits instead of conventional high-orbit satellites. Also, since LEO satellites provide shorter paths from users to services, the performance is enhanced compared with ground MEC networks. In this paper, we aim to enable low-latency network services in a Satellite Edge Computing (SEC) network that integrates the MEC and satellite-terrestrial networks. In particular, we consider that each network service is composed of a sequence of Virtualized Network Functions (VNFs), where the trafﬁc of user requests has to be processed by the VNFs in a service chain in the speciﬁed order before reaching its destination. To this end, we ﬁrst formulate a delay-aware service chaining problem in an SEC network to minimize the average delay of implementing a user request, by jointly placing VNFs to LEO satellites in the SEC network and routing the trafﬁc of each user request from its source to destination. We then devise an approximation algorithm with an approximation ratio for the problem in an SEC network with a single user request, by devising a novel concept of chaining orbit and auxiliary graph construction technique. We also design an online algorithm for the online delay-aware service chaining problem in an SEC network, if user requests arrive into the system without the knowledge of their arrivals and the network delays are uncertain. We ﬁnally evaluate the performance of the proposed algorithms using real satellite network topologies, and results show that the proposed algorithms achieve 28.5% lower delay
The World Is Flat: A Brief History of the Twenty-First Century

People always wonder, where does a talent like this come from? They ask, where does he come up with the inspiration for his columns and the titles for his books? Well, it just so happens that, in this case, I know. I have insider information. Tom Friedman and I went to the same high school, St. Louis Park Senior High School, St. Louis Park, Minnesota. I know, for example, that there was a McDonald's directly across the street from our high school. This first franchise McDonald's in America was the inspiration for his widely acclaimed column, "The Golden Arches Theory of Conflict Prevention. "
Bandwidth Enhancement of Circularly Polarized Antenna Based on Dual Layer Metasurface

In this paper, a novel single-feed circularly polarized (CP) patch antenna loaded with a spiral-rhombus-shaped metasurface layer is proposed for communication application. Based on the dual layer 5 x 5 spiral shape external converter generating linear-to-circularly polarized wave, the antenna's AR bandwidth (ARBW) has significantly enhanced. Based on the mode analysis, the CP antenna's mechanism is theoretically examined. The parameters of single feeding structure are studied to achieve wide impedance bandwidth (BW) and axial ratio (AR) BW. The simulated relative impedance bandwidth and 3 dB ARBW were 21.5 % and 8.5 %, respectively, from 3.87 GHz to 4.21 GHz. The CP antenna has a maximum gain of 6.35 dBic.
Hard vs. soft commitments: Experimental evidence from a sample of French gamblers *

People use commitment devices to formalize and facilitate their goals. Self-commitments are ubiquitous and may take di ﬀ erent forms: soft, when the commitment can be broken at a low cost, or hard, when that cost is high. The e ﬀ ects of soft and hard commitments have usually been studied separately. We conduct an online experiment with 1527 individuals representative of a big gambling company’s client population to study the comparative e ﬀ ects of hard and soft commitment devices in a risk taking game. Our results show that asking for a hard limit leads subjects to reduce their risk-taking even when the limit turns out to be non-binding, i
Informational

Arnold, Ann THE ADVENTUROUS CHEF: Alexis Sayer. II. by author. ISBN 0374-31665-1. New York: Frances Foster Books,2002. 40 pp. $17.00. Alexis Soyer was one of the greatest cooks of the 19th century. His charisma, creativity, intelligence, and social conscienceare beautifully illustrated here, further enhancing his distinction. An avid inventor who vowed "to help everyone to eat well," Soyer designed London's Reform Club Kitchen for the rich, built a model soup kitchen for the poor during the Great Potato Famine, and published "The Modern Housewife" for the middle class. He also worked with Florence Nightingale to teach soldiers to feed themselves during the CrimeanWar. Arnold's witty storytelling and whimsical drawings aptly capture Soyer's dedication to others, as well as to his vocation. Ages 9-12. Reviewed by Gina Hoagland, Olney, MD
A Provably Stable SBP-SAT FDTD Subgridding Method without Modifying Yee's Grids

A stable finite-difference time-domain (FDTD) sub-grid ding method using the summation-by-parts simultaneous approximation term (SBP-SAT) technique is proposed. To meet the SBP properties and keep Yee's grids unchanged, the projection operators are carefully designed to extrapolate fields on the boundaries. Then, the SATs are used to weakly enforce the boundary conditions between multiple mesh blocks with different mesh sizes. Therefore, its long-term stability is theoretically guaranteed. An iris filter is simulated to validate the effectiveness of the proposed method. Results show that the proposed SBP-SAT FDTD subgridding method is stable, accurate and efficient.
Estimation of Distances in Virtual Environments Using Size Constancy

It is reported in the literature that distances from the observer are underestimated more in virtual environments (VEs) than in physical world conditions. On the other hand estimation of size in VEs is quite accurate and follows a size-constancy law when rich cues are present. This study investigates how estimation of distance in a CAVETM environment is affected by poor and rich cue conditions, subject experience, and environmental learning when the position of the objects is estimated using an experimental paradigm that exploits size constancy. A group of 18 healthy participants was asked to move a virtual sphere controlled using the wand joystick to the position where they thought a previously-displayed virtual cube (stimulus) had appeared. Real-size physical models of the virtual objects were also presented to the participants as a reference of real physical distance during the trials. An accurate estimation of distance implied that the participants assessed the relative size of sphere and cube correctly. The cube appeared at depths between 0.6 m and 3 m, measured along the depth direction of the CAVE. The task was carried out in two environments: a poor cue one with limited background cues, and a rich cue one with textured background surfaces. It was found that distances were underestimated in both poor and rich cue conditions, with greater underestimation in the poor cue environment. The analysis also indicated that factors such as subject experience and environmental learning were not influential. However, least square fitting of Stevens’ power law indicated a high degree of accuracy during the estimation of object locations. This accuracy was higher than in other studies which were not based on a size-estimation paradigm. Thus as indirect result, this study appears to show that accuracy when estimating egocentric distances may be increased using an experimental method that provides information on the relative size of the objects used.
Analysis of Zoned Residential Ventilation Systems

Trends in home heating and cooling in the US are resulting in less mixing of air within dwellings, either due to not using central forced air systems, or to reduced loads and runtimes in high performance homes. This study examined the use of zoned ventilation systems using a coupled CONTAM/EnergyPlus model of new California dwellings, including a 1-story single-family dwelling and a single apartment unit. Zoned and unzoned ventilation systems were simulated for exhaust, supply and balanced fan types. Smart controls were designed to reduce ventilation energy use and provide equivalent occupant pollutant exposures, using metrics that allow the efficacy of ventilation to be calculated on a zonal basis. The key metric was the personal exposures of the dwelling occupants to a number of contaminants of concern, including moisture, formaldehyde, CO 2 , particles and a generic contaminant. , Emission rates were based on previous field studies and research literature, and they include a mixture of episodic and background emissions that were scheduled to align with zone occupancy patterns and activities (e.g., cooking, bathing, sleeping). These personal exposures were compared for smart controlled and baseline reference cases to ensure equivalence, as well as between zoned and unzoned fan types. Results showed that while zonal ventilation has the capability to save energy beyond that offered by single-zone approaches, care is required in the design and evaluation of zonal controls because all control types led to increased personal exposures for at least one of the contaminants. Substantial differences were identified between fan types, in terms of their ability to deliver outside airflow to occupied zones, the resulting personal pollutant exposures, and in energy performance.
AN EVALUATION OF THE ANIMAL-BEHAVIOR THEORY For Earthquake Prediction

The notion that animals can sense earthquakes before they occur may have originated in ancient Greece in 373 B. C. when rats, weasels, snakes, and centipedes were reported to have moved to safety several days before a destructive earthquake (Quammen, 1985). In recent years earthquake prediction based on premonitory behavior in animals has been attempted in China and Japan, but scientists in this country remain skeptical.
Solving Problems with Design Thinking: Ten Stories of What Works

Design-oriented firms such as Apple and IDEO have demonstrated how design thinking can affect business results. However, most managers lack a sense of how to use this new approach for issues other than product development and sales growth. Solving Problems with Design Thinking details ten real-world examples of managers who successfully applied design methods at 3M, Toyota, IBM, Intuit, and SAP; entrepreneurial start-ups such as MeYou Health; and government and social sector organizations, including the City of Dublin and Denmark's The Good Kitchen. Using design skills such as ethnography, visualization, storytelling, and experimentation, these managers produced innovative solutions to such problems as implementing strategy, supporting a sales force, redesigning internal processes, feeding the elderly, and engaging citizens. They elaborate on the challenges they faced and the processes and tools they used, providing a clear path to implementation based on the principles and practices laid out in Jeanne Liedtka and Tim Ogilvie's Designing for Growth: A Design Thinking Tool Kit for Managers.
Investigating the Accuracy and Reproducibility of 3dMDface System for Soft Tissue Analysis

Objective: Three-dimensional (3D) soft tissue (ST) changes from orthodontic treatment can now be evaluated with the development of 3D photography. However, the accuracy and reliability of this method is still in question. This study aims to 1) evaluate the accuracy of 3dMD imaging using caliper, surface, and 3D morphometrics and 2) find standard facial expressions that can be best reproduced by 3dMD imaging for soft tissue analysis.Methods: Three-dimensional (3D) ST facial landmarks were obtained from 40 adults not undergoing orthodontic treatment through the use of 3dMD facial photographic software. A total of 16 landmarks were used and 21 parameters were measured for surface distances (6 in vertical, 10 in anterior posterior, and 5 in transverse). 3dMD images of four different facial expressions (repose (R), maximum intercuspation (MIP), posed smile (S), and smile with lips closed (SLC)) were taken at 0hr, 1hr, 24hr, 1wk, 2wk, 3wk, and 4wk time intervals. As a feasibility test, these measurements were taken on a mannequin at the above time intervals. Superimposition of seven 3dMD images for each facial posture per subject was performed for analysis. Error magnitude statistics: mean absolute difference (MAD), standard deviation of the error (SD), Root MeanSquare Error (RMSE), relative error magnitude (REM), technical error magnitude (TEM), and intraclass correlation coefficient (ICC) were used.3D morphometrics, seven images were taken of mannequin and subjects posing in MIP and posed smile. These images were loaded into an initial software pipeline to generate a closed mesh. Closed mesh were traced for surface curves and finally loaded into a dual pipeline to average those seven images. Color-coded displacement maps were generated from the dual pipeline images to evaluate changes across the seven time points. T-stats was performed to quantify these changes.Results: Measurements on a mannequin confirmed the reliability of all the landmarks and parameters used in this study. For 40 subjects, 3dMD measurements between ST landmarks were reproducible with a random error lower than 1mm except for the distance from cheilion to cheilion (2.79mm). Comparing across the four facial postures, MIP showed the smallest variation with mean absolute difference (MAD) (2.03mm) and SD (0.81mm). S posture had the largest variation with MAD (2.79mm) and SD (1.28mm). For 3D morphometrics, mannequin showed that the t-stats are at near zero on the face. When applying 3D morphometrics for MIP and posed smile, areas around exocanthion, cheilion, and pronasale showed slight variation.Conclusion: 3dMD can perform ST analysis with both accuracy and reproducibility and can be utilized for evaluating ST changes with dental treatment when using advanced technology like 3D morphometrics. Cheilion, alar base, and exocanthion might not be an appropriate landmark to use for ST analysis. R and MIP facial postures are recommended over smile (S or SLC) for more consistent parameter measurements.
Gait Recognition With Drones: A Benchmark

Gait recognition aims to obtain people's identity through body shape and walking posture. Existing gait recognition studies focus on low vertical view recognition, in which the person and the camera are nearly at the same height. Differently, in this work, we focus on gait recognition at high vertical views. To facilitate the research, we propose a new dataset named DroneGait, where the drones are used to collect the gait data. This dataset contains 22 k sequences of 96 subjects taken at different vertical views, varying from about 0$^{\circ }$ to 80$^{\circ }$. Furthermore, we evaluate the effectiveness of several state-of-the-art appearance-based and skeleton-based models using our dataset and establish comprehensive baselines. Our results demonstrate that the dataset is challenging and presents significant opportunities to improve existing gait recognition methods. Moreover, we propose a new method called Vertical Distillation, which is based on the feature distillation across different vertical views. Our proposed method substantially outperforms the state-of-the-art models on DroneGait at high vertical views. Cross-vertical-view and cross-domain experiments are also made to explain the importance of gait recognition at high vertical views. Furthermore, we analyze the differences between gait recognition at different vertical views using heatmap visualization techniques. We will make our dataset and code publicly available upon acceptance.
Cybersecurity and Medical Imaging: A Simulation-Based Approach to DICOM Communication

Medical imaging plays a crucial role in modern healthcare, providing essential information for accurate diagnosis and treatment planning. The Digital Imaging and Communications in Medicine (DICOM) standard has revolutionized the storage, transmission, and sharing of medical images and related data. Despite its advantages, implementation and deployment of the DICOM protocol often suffers from incomplete understanding, leading to vulnerabilities within the healthcare ecosystem. This research paper presents an implementation of DICOM communication and the development of a practical demonstration for simulation purposes The simulation can be used for conducting cybersecurity tests in the context of DICOM communication. Overall, the simulation provides a digital environment that can help in retrieving valuable insights into the practical aspects of DICOM communication and PACS integration, serving as a valuable resource for medical imaging professionals, researchers, and developers. These research results provide practical insights, and the DICOM simulation can be used in realistic contexts to showcase a variety of security scenarios.
Predictive value of whole-brain CT perfusion combined with ABCD3 score for short-term secondary cerebral infarction after TIA

Objective To investigate the predictive value of Whole Brain CT Perfusion (WB-CTP) combined with the ABCD3 score in patients with transient ischemic attack (TIA). Methods A total of 336 TIA patients with TIA underwent WB-CTP and ABCD3 score assessment within 48 h of admission. Spearman correlation test was performed to analyze the relationship between the degree of vascular stenosis, relative perfusion values, and ABCD3 score. Logistic regression analysis was used to identify independent risk factors for secondary cerebral infarction. Receiver operating characteristic (ROC) curves were generated to evaluate the predictive value of relative cerebral blood flow (rCBF), degree of vascular stenosis, ABCD3 score, and the WB-CTP-ABCD3 combined model for secondary cerebral infarction after TIA. Calibration curves and H-L tests were used to evaluate the predictive efficacy of the model. Results Among the 336 TIA patients, 143 showed abnormal perfusion areas and 146 had responsible vessel stenosis. The degree of vascular stenosis, relative time-to-maximum (rTmax), and relative mean transit time (rMTT) were positively correlated with the ABCD3 score, while rCBF and relative cerebral blood volume (rCBV) were negatively correlated with the ABCD3 score. ROC curve analysis identified a cutoff value of 0.8205 for rCBF, with a sensitivity of 84.10% and specificity of 58.10% for distinguishing the cerebral infarction group from the non-cerebral infarction group. Furthermore, rCBF ≤ 0.8205, degree of vascular stenosis, and ABCD3 score > 6 were identified as independent risk factors for secondary cerebral infarction in TIA patients within 90 days in TIA patients. The AUC of the WB-CTP-ABCD3 combined model for predicting secondary cerebral infarction within 90 days was 0.836. The model risk was assessed by plotting calibration curves. The value of p for the H-L goodness of fit test was 0.366 (p > 0.05), which indicated that the difference between the obtained model and the perfect model were statistically insignificant. Conclusion The combined model of WB-CTP-ABCD3 shows promise as a valuable method for predicting secondary cerebral infarction within 90 days following TIA.