Miracle-dz/UniFAR-FTUs huggingface dataset:
Lung Cancer Detection Using Image Processing

-The objective of this paper is to explore an expedient image segmentation algorithm for medical images to curtail the physicians’ interpretation of computer tomography (CT) scan images. Modern medical imaging modalities generate large images that are extremely grim to analyze manually. The consequences of segmentation algorithms rely on the exactitude and convergence time. At this moment, there is a compelling necessity to explore and implement new evolutionary algorithms to solve the problems associated with medical image segmentation. Nowadays, Image processing methods are commonly used in many medical areas for improvement of image for earlier detection and treatment stages. Early prediction of lung cancer can increase the survival rate of patient by using imaging tests such as computer tomography (CT) which gives better image quality and results. In Image processing procedures, methods like pre-processing, segmentation methods like thresholding or K-means clustering and feature extraction are discussed. It is the target to get more accurate results by using image enhancement and segmentation techniques on MATLAB software.
Perturb and Observation MPPT algorithm for the performance of Solar Photovoltaic System

The Maximum Power Point Tracking is a technique used in power electronic circuit to improve the efficiency of photovoltaic systems . Several works and many papers have suggested different methods for extracting maximum power point. The aim of this work is to develop and realize the performance of the Photovoltaic system using Perturb and Observe algorithm. The first part of the work is devoted to the study of the components constituting the global photovoltaic system namely: the photovoltaic generator and the DC-DC converter. The PV generator is modelled by the mathematical equations and its current-voltage characteristics and the power-voltage characteristics are simulated taking in to account the temperature and sun's irradiance. The second part is detailed the MPPT method of Perturb and Observe using the DC-DC converters. The simulation results are designed in the MATLAB / SIMULINK environment where demonstrated the efficiency of the photovoltaic system when using Perturb and Observe MPPT algorithm. Keywords—Photovoltaic system(SPV), Maximum Power Point Tracking(MPPT), DC-DC Boost Converter, Perturb & Observe(P&O), Incremental Conductance(Inc-Cond).
LCOMS Lab’s approach to the Vision For Vitals (V4V) Challenge

We present in this paper the LCOMS Lab’s approach to the 1st Vision For Vitals (V4V) Challenge organized within ICCV2021. The V4V challenge was focused on computer vision methods for vitals signs measurement from facial videos, including pulse rate (PR) and respiratory rate.We propose a novel end-to-end architecture based on a deep spatiotemporal network for pulse rate estimation from facial video recordings. Unlike existing methods, we predict the pulse rate value directly without passing by iPPG signal extraction and without incorporating any prior knowledge or additional processing steps. We built our network using 3D Depthwise Separable Convolution layers with residual connections to extract spatial and temporal features simultaneously. This is very suitable for real-time measurement because it requires a reduced number of parameters and a short video fragment. The obtained results seem very satisfactory and promising, especially since the experiments were conducted in challenging dataset collected in uncontrolled conditions.
Influence of Trailing-Edge Flow Control on Airfoil Performance

Experiments were conducted on a NACA 0012 airfoil equipped with Gurney flap. Two types of Gurney flap were used: one was solid with a height of 5% chord and the other was triangularly serrated with a height of 5% chord. The Reynolds number of the tests, ∼2 x 10 5 based on chord, was typically in the range of interest for microaerial vehicles and rotor blades of helicopters. The results confirmed the advantages of a Gurney flap, in general, and provided additional insight into their effectiveness. A simple analysis that extends the hypothesis of Liebeck on the functioning of the Gurney flap is offered
MASS wide field extinction maps IV . The Orion , Monoceros R 2 , Rosette , and Canis Major star forming regions

We present a near-infrared extinction map of a large region (approximately 2200 deg2) covering the Orion, the Monoceros R2, the Rosette, and the Canis Major molecular clouds. We used robust and optimal methods to map the dust column density in the nearinfrared (N and N) towards ∼19 million stars of the Two Micron All Sky Survey (2MASS) point source catalog. Over the relevant regions of the field, we reached a 1-σ error of 0.03 mag in the K-band extinction with a resolution of 3 arcmin. We measured the cloud distances by comparing the observed density of foreground stars with the prediction of galactic models, thus obtaining dOrionA = (371 ± 10) pc, dOrionB = (398 ± 12) pc, dMonR2 = (905 ± 37) pc, dRosette = (1330 ± 48) pc, and dCMa = (1150 ± 64) pc, values that compare very well with independent estimates.
Synthesis of cogging torque waveform from analysis of a single stator slot

A simple technique is proposed to synthesise the cogging torque waveform of a permanent magnet machine from the cogging torque which is associated with a single stator slot. An analytical expression is derived and applied to two motors, each of which has a fractional number of slots per pole. It is shown that the resultant cogging torque waveform can be synthesized to a high accuracy, as confirmed by both finite element analysis and measurements. It is also shown that not all the cogging torque harmonics which exist in the cogging torque waveform due to a single slot will be present in the resultant cogging torque, and that the most significant components can be identified analytically
Trusted autonomous systems in defence A policy landscape review

applications and the current extent of their deployment. We then discuss the associated policy issues grouped under eight themes. These largely mirror the eight categories of ethical and social issue associated with the use of AI in healthcare and research identified by the Nuffield Council on Bioethics (2018). We found that these categories represented a particularly effective structure for classifying the salient issues identified in the literature
The Effect of Occupational Health and Safety Practices on Organization Trust in Hotel Businesses

This research, is aimed to determine the effect of occupational health and safety practices in hotel businesses in Nevşehir province on the perceptions of employees' trust in the organization. For this purpose, data were collected from employees working in hotel businesses in Nevşehir province from February to May 2021 by survey technique. In the study, correlation analysis was applied to determine the relationship between occupational health and safety practices of hotel businesses and their perceptions of trust in the organization, and regression analysis was applied to determine the effect of occupational health and safety practices on trust in the organization. As a result of the research, it has been determined that the perception of trust in the organization of the employees of hotel enterprises is affected by occupational health and safety practices. Occupational health and safety, gaining more importance with each passing day, plays a decisive role for both developed countries and developing countries. Changes in working life also have an impact on occupational health and safety, and changing working conditions bring new risks and dangers. For this reason, with new regulations, states, employers, and employees need to keep occupational health and safety up to date. Practices at the point of working conditions, employment contracts, working methods (trial-term, part-time, seasonal, on-call work, overwork, unregistered employment, etc.) of the enterprises in the tourism sector are important for the sector employees and must be taken under legal supervision and protection.
A Method to Improve SnW Routing Protocol in Accumulation of PROPHET and QoN in DTN

In the current era of wireless network in some scenario a current internet routing protocol is fail in communication between source and destination node while network consist some characteristics like intermittent connectivity, long variable delay, asymmetric data rate, high error rate. The only perfect solution of above problem is Delay - and Disruption -Tolerant Network (DTN). In this paper we are study existing SnW, PROPET and QON routing protocol and proposed better Spray and wait protocol in accumulation of PROPHET and QON with its key features.
On the performance of self-correction based modified min-sum decoding algorithms for LDPC codes

In this paper, we analyzed the performance of modified min-sum algorithms (MSA) for the decoding of low-density parity check codes. We focused on two self-correction based min-sum algorithms which erase variable node messages considered unreliable messages during decoding iterations. By comparing the error performances, it is confirmed that the self-correction based decoding algorithms have improved error performances compared with MSA and modified MSA
INFLUENCE OF BANK’S RELIABILITY SERVICES ON THE CUSTOMER SATISFACTION

This study was an attempt to examines the impact of banks various reliability quality service factors on the level satisfaction of customers of selected leading private and public banks in the east Godavari district market. A selfprepared questionnaire was used as a measuring tool and distributed to 260 bank customers in equal sample number located in the rural parts of selected scope. The statistical measurement was conducted on the level of satisfaction varies with the respect to type of bank, gender, age, type of account, and frequency of visit for the factors of reliability service only. Moreover, comparison between the findings and customer satisfaction surveys was conducted along with an attempt to prove correlation between customers’ perceptions regarding tangible service quality. The Findings of the study revealed there are gaps between expectations and perceptions among customers of selected banks which implied that there are some factors in the service quality shortfalls that need to be taken care off. Appropriate utilisation of resources and man power related to reliability service makes this work regarded as pioneering.
The Persistence of Distraction: The Hidden Costs of Intermittent Multitasking

We examined the hidden costs of intermittent multitasking. Participants performed a pursuit-tracking task (Experiment 1) or drove in a high-fidelity driving simulator (Experiment 2) by itself or while concurrently performing an easy or difficult backwards counting task that periodically started and stopped, creating ontask and off-task multitasking epochs. A novel application of the Detection Response Task (DRT), a standardized protocol for measuring cognitive workload (ISO 17488, 2016), was used to measure performance in the on-task and off-task intervals. We found striking costs that persisted well after the counting task had stopped. In fact, the multitasking costs dissipated as a negatively accelerated function of time with the largest costs observed immediately after multitasking ceased. Performance in the off-task interval remained above baseline levels throughout the 30-s off-task interval. We suggest that loading new procedures into working memory occurs fairly quickly, whereas purging this information from working memory takes considerably longer.
BACKGROUND REFLECTANCE COMPENSATION AND ITS EFFECT ON MULTISPECTRAL LEAF SURFACE MOISTURE ASSESSMENT

The feasibility of using a multispectral imaging sensor for non-contact leaf wetness sensing was evaluated. The changes of spectral reflectance in the visible (400-700 nm), very-near-infrared (700-1300 nm) and near-infrared ranges (1300-2500 nm) caused by leaf surface moisture were investigated under filtered tungsten halogen lighting. The spectral information collected using the imaging system was a mixture of the reflectance of the objects of interest and the background in the sensor’s field of view. For accurate leaf surface water analysis, background compensation techniques were evaluated to obtain compensated reflectance spectra. Visible and near-infrared regions were found to be less affected by background and were well compensated, whereas very-near-infrared regions had large background effects. The background reflectance compensation significantly improved the accuracy of leaf surface water assessment. The study showed that the multispectral imaging technique could be used to assess coverage of high-volume spray applications.
Improved Ant Colony System for Solving TSP

This study proposes a method for changing the values of the parameters used in finding probability to select the next city . This method is effective and outperforms the conventional Ant colony system This paper uses formulas to set the values of variables �, � andwhereandare the pheromone updating parameters andis the distance factor. These parameters have the direct influence on the performance of the algorithm. This paper has designed to provide optimal solution of travelling salesman problem by using the theory of ant colony optimization and adjusting the values of the influence parameters. The proposed method is therefore, an attractive method to find the shortest path for travelling salesman problem.
Sedani Design Report

—This report introduces Sedani, Georgia Institute of Technology (Georgia Tech)’s entry into the 2018 International Autonomous Robot Racing Competition (IARRC). We discuss what advances our team has made between 2017 and 2018 and how these advances allow us to tackle the multiple challenges IARRC poses across controls, localization, and perception.
Emergency Care Access vs. Quality: Uncovering Hidden Consequences of Fast-Track Routing Decisions

Many hospitals have established a separate fast-track (FT) service line dedicated to patients with less urgent care needs to improve emergency department (ED) operational efficiency. However, so far, hospitals have not yet established consistent guidelines for determining which patients should be routed to the FT, possibly due to the lack of a comprehensive understanding of how FT routing decisions impact patient outcomes. Using data from three Canadian hospitals, we find that FT routing decisions are not purely clinical-driven, and ED operational status related to congestion is also associated with FT routing decisions.We then use an instrumental variable approach to quantify the impact of the FT routing decisions on patient outcomes (i.e, ED length of stay and revisit rate). We find that being routed into FT can improve patient access to emergency care by reducing the average ED length of stay by 25.9%. However, surprisingly, we uncover a hidden unintended consequence on the quality of care: being routed into the FT can lead to a 7.4% increase in the 48-hour revisit rate for high-complexity patients and a 3.0% (2.8%) increase in the 48-hour (72-hour) revisit rate for middle-complexity patients. To balance the trade-off between fast care access and quality assurance, we propose a multi-class queueing model to derive the optimal routing policy. Using a data-calibrated simulation, we compare the performance of several routing policies and find that the optimal state-dependent routing policy can lead to a 4.72% reduction in the 48-hour patient revisits and a 22.2% reduction in the average patient waiting time, compared to the current routing policy used by our study hospitals. Interestingly, the popularly adopted triage-score-based policy, which routes all (and only) patients of triage levels 4 and 5 to the FT, performs the worst among all policies under consideration.
ANALYSIS OF FACTORS INFLUENCING INTRODUCTION OF E-HEALTH: A CASE STUDY OF ESTONIA

- Many countries around the world have been trying to introduce e-health to solve health problems. However, countries trying to introduce e-health often face various problems preventing successful introduction. In order to identify bottlenecks and influencing factors that help to overcome them, we studied the implementation process of Electronic Health Record (EHR) in Estonia, which is said to be one of the most advanced countries in terms diffusion of e-health, adapting Technology Acceptance Model (TAM). We identified three bottlenecks in diffusion process; 1) healthcare providers do not start to use EHR in the beginning; 2) healthcare providers stop using EHR when the number of users are small; and 3) the number of citizens using EHR do not increase in the end. Estonia succeeded in overcoming these bottlenecks by increasing a sense of expectation or giving a pressure to healthcare providers (bottlenecks 1,2) and by introducing new services (bottleneck 3).
A Framework for Detecting Compatibility-Issues-Proneness Apps Based on Multimodal Analysis in Android Platform

With the prosperity of Android, the compatibility issues in apps cause security flaws and bring damages to the user experience. Unfortunately, recent studies cannot help the developer to identify the apps that are compatibility-issue-proneness. It motivates us to propose an automated approach to identify these apps derived from multimodal learning. To this goal, we first present some potential modalities of apps based on previous insight and then leverage statistical methods to test the modalities. Finally, we use the selected modalities to identify these apps on a real dataset. Experimental results on apps demonstrate the effectiveness of our work.
Deep Learning on Graphs: An Introduction

We start this chapter by answering a few questions about the book. First, we discuss why we should pay attention to deep learning on graphs. In particular, why do we represent real-world data as graphs, why do we want to bridge deep learning with graphs, and what are challenges for deep learning on graphs? Second, we introduce what content this book will cover. Specifically, which topics we will discuss and how we organize these topics? Third, we provide guidance about who should read this book. Especially what is our target audience and how to read this book with different backgrounds and purposes of reading? To better understand deep learning on graphs, we briefly review the history under the more general context of feature learning on graphs.
Identifying the Factors Affecting Professional Turnover Intention among the Auditors

Professional turnover is a primary concern for the audit profession, as reported in many recent professional reports. Also, based on the official reports by Iranian authorities in 2019, the average retention period for Iranian auditors was 571 days which is too low compared to global statistics. Therefore, this study aims to identify the factors affecting professional turnover intention. In line with this goal, this research has been done using a qualitative meta-synthesis approach. The present study's data collection tools and information are past documents in this field, including 70 articles. The method of data analysis is based on open coding. The results indicate that the factors affecting professional turnover intention can be classified into seven general categories: individual factors, occupational factors, occupational and organizational attitudes, intra-organizational links, organizational climate, characteristics of audit firms and characteristics of the profession. In the end, based on the research findings, possible suggestions are given.
The Effect of Logical Organization on the Academic Essay Written by EFL Student

This study aimed to investigate Sudanese EFL undergraduate students’ academic writing problems in terms of logical organization. It focused on the logical organization to explore the difficulties of both writing techniques and logical organization. A descriptive-analytic method was used. Three groups in three Sudanese universities were targeted for the study, which their major is English language and linguistics. A questionnaire and a test were used for data collection and 137 responses were received. The results of the questionnaire revealed that 75.19% of the respondents believed that academic writing techniques are crucial. The results of the academic essay writing revealed that students confronted difficulties in the logical organization, consistency, or drawing an effective conclusion. The study recommended that academic writing courses should be taught in all academic disciplines of the Sudanese higher education institutions and remedial classes on these facets should be covered effortlessly.
Heterometallic Ln(Na)‐MOFs (Ln=Tb, Dy, Ho): Crystal Structures, Luminescent Sensing for Acetaldehyde, Fe, Cr2O7, and Electrochemical Sensing for Catechol

Three new 3D microporous isostructural heterometallic metal organic frameworks Ln(Na)⁃MOFs: {[LnNa(BDT)(H2O)3]·2H2O}n (Ln=Tb (1), Dy (2), Ho (3), H4BDT=3,5⁃bis(3',5'⁃dicarboxylphenyl)⁃1H⁃1,2,4⁃triazole), have been synthesized under solvothermal condition, and characterized by single crystal X⁃ray diffraction, elemental analysis, thermogravimetric analysis, and powder X⁃ray diffraction. Structural analysis demonstrates that they possess the same 3D frameworks based on similar heteronuclear bimetallic units. Fluorescence studies show that Tb (Na)⁃MOF (1) can detect Fe3+ ion, Cr2O72anion, and acetaldehyde molecules with high sensitivity and selectivity by luminescent sensing, and can also be used for electrochemical detection of catechol in water. CCDC: 2077995, 1; 2083696, 2; 2083700, 3.
Active Commuting and Cardiovascular Disease Risk

Methods: This cross-sectional study included 2364 participants enrolled in the Coronary Artery Risk Development in Young Adults (CARDIA) study who worked outside the home during year 20 of the study (2005-2006). Associations between walking or biking to work (selfreported time, distance, and mode of commuting) with body weight (measured height and weight); obesity (body mass index [BMI], calculated as weight in kilograms divided by height in meters squared, 30); fitness (symptom-limited exercise stress testing); objective moderatevigorous physical activity (accelerometry); CVD risk factors (blood pressure [oscillometric systolic and diastolic]); and serum measures (fasting measures of lipid, glucose, and insulin levels) were separately assessed by sex-stratified multivariable linear (or logistic) regression modeling. Results: A total of 16.7% of participants used any means of active commuting to work. Controlling for age, race, income, education, smoking, examination center, and physical activity index excluding walking, men with any active commuting (vs none) had reduced likelihood of obesity (odds ratio [OR],0.50; 95% confidence interval [CI], 0.33-0.76), reduced CVD risk: ratio of geometric mean triglyceride levels (trigactive)/(trignonactive)=0.88 (95% CI, 0.80 to 0.98); ratio of geometric mean fasting insulin (FIactive)/(FInonactive)=0.86 (95% CI, 0.78 to 0.93); difference in mean diastolic blood pressure (millimeters of mercury) (DBPactive) �( DBPnonactive) =� 1.67 (95% CI, �3.20 to �0.15); and higher fitness: mean difference in treadmill test duration (in seconds) in men (TTactive) �(TTnonactive)=50.0 (95% CI, 31.45 to 68.59) and women (TTactive)�(TTnonactive)=28.77 (95% CI, 11.61 to 45.92). Conclusions: Active commuting was positively associated with fitness in men and women and inversely associated with BMI, obesity, triglyceride levels, blood pressure, and insulin level in men. Active commuting should be investigated as a modality for maintaining or improving health.