Miracle-dz/UniFAR-FTUs huggingface dataset:
Population consequences of the Deepwater Horizon oil spill on pelagic cetaceans

: The Deepwater Horizon disaster re - sulted in the release of 490000 m 3 of oil into the northern Gulf of Mexico. We quantified population consequences for pelagic cetaceans, including sperm whales, beaked whales and 11 species of delphinids. We used existing spatial density models to establish pre-spill population size and distribution, and overlaid an oil footprint to estimate the proportion exposed to oil. This proportion ranged from 0.058 (Atlantic spotted dolphin, 95% CI = 0.041−0.078) to 0.377 (spinner dolphin, 95% CI = 0.217−0.555). We adapted a population dynamics model, developed for an estuarine population of bottlenose dolphins, to each pelagic species by scaling demographic parameters using literature-derived estimates of gestation duration. We used expert elicitation to translate knowledge from dedicated studies of oil effects on bottlenose dolphins to pelagic species and address how density dependence may affect reproduction. We quantified impact by comparing population trajectories under baseline and oil-impacted scenarios. The number of lost cetacean years (difference between trajectories, summed over years) ranged from 964 (short-finned pilot whale, 95% CI = 385−2291) to 32584 (oceanic bottlenose dolphin, 95% = CI 13377− 71 967). Maximum proportional population decrease ranged from 1.3% (Atlantic spotted dolphin 95% CI = 0.5−2.3) to 8.4% (spinner dolphin 95% CI = 3.2−17.7). Estimated time to recover to 95% of baseline was >10 yr for spinner dolphin (12 yr, 95% CI = 0−21) and sperm whale (11 yr, 95% CI = 0−21), while 7 taxonomic units remained within 95% of the baseline population size (time to recover, therefore, as per its definition, was 0). We investigated the sensitivity of results to alternative plausible inputs. Our methods are widely applicable for estimating population effects of stressors in the absence of direct measurements.
ESD Events to Wearable Medical Devices in Healthcare Environments—Part 1: Current Measurements

Wearable medical devices are widely used for monitoring and treatment of patients. Electrostatic discharge can render these devices unreliable and cause a temporary or permanent disturbance in their operation. In a healthcare environment, severe electrostatic discharge (ESD) can occur while a patient, lying down or sitting on a hospital bed with a wearable device, discharges the device via a grounded bedframe. To protect the devices from ESD damage, the worst-case discharge conditions in the usage environment need to be identified. Previous studies by authors revealed that such events could be more severe than the conventional human metal model (HMM). However, the impact of various body postures and device location on the body and the severity of the discharge current compared with HMM have not been investigated for healthcare environments. This study is an attempt to address the gap in the literature by investigating severe discharges in such environments and characterizing their current waveforms for three postures (standing on the floor, sitting, and lying down on a hospital bed), two device locations (hand and waist), and four body voltages (2, 4, 6, and 8 kV). This study highlights that the IEC 61000-4-2 standard may not be sufficient for testing wearable medical devices.
Cervical Cancer in Young Females: A Short Communication

The lower portion of the uterus that links to the vagina, or the cervix, is where the cells of the cervical cancer develop [1]. The fourth most frequent type of cancer and the fourth most common reason for cancer-related death in women globally is cervical cancer [2]. While cervical cancer can affect women of any age, it is typically detected in younger females between the ages of 30 and 49 [3]. Due to anti-Human Papillomavirus (HPV) vaccines and population-based cervical cancer screening programmes, the incidence and mortality rates of cervical cancer have decreased during the past few decades. Epidemiological research, however, indicates a rise in the prevalence of cervical cancer among young women [2].
IMPLEMENTASI SISTEM ENTERPRISE RESOURCE PLANNING (ERP) BERBASIS OPEN SOURCE PADA MODUL SALES DAN ACCOUNTING PADA SEBUAH UKM MAKANAN DI YOGYAKARTA

MSMEs have an important role in the economy of a country, including in Indonesia. However, MSMEs are currently experiencing various obstacles, where the majority of business process transactions are still carried out manually. This research presents a case study of the implementation of an open-source ERP system in a culinary MSME (UMKM X) in Yogyakarta. The research was conducted using the action design research method, which consists of three main stages: problem formulation, building, intervention, and evaluation (BIE), and reflection and learning. At the problem formulation stage, information was obtained that the majority of business processes in UMKM X were carried out manually, starting from recording customer orders, purchasing raw materials to vendors, processing products, to completing marketing. At the BIE stage, business process identification and module configuration needs are carried out. The modules to be implemented for the first phase are sales and accounting. In the reflection and learning phase, feedback was collected from the users and owners of UMKM X, where the results of the user acceptance test (UAT) showed that all sales and accounting process scenarios were successfully executed.
Effect of Goods and Service Tax System on Business Performance of Micro, Small and Medium Enterprises

Tax and economy go hand in hand, and whenever any overhaul in tax structure takes place, it becomes essential to evaluate its effect on its sector and concerned businesses. The present study examines the effect of Goods and Service Tax (GST) on Indian Micro, Small and Medium Enterprises (MSMEs) business performance. Data were collected through a structured questionnaire from 404 registered MSMEs. The partial least square equation modeling results emphasized an overall positive impact of GST on business performance. The path model demonstrated that determinants of GST- change in the tax system, technology transition, and tax awareness and knowledge have enhanced the performance in terms of ease of doing business, operational efficiency, and increased profitability and have reduced the working capital blockage of funds. However, in contrast, the GST compliance system has increased the compliance burden on the firms, which harmed their performance. Further, the study examined that MSMEs’ size, turnover, and form impact the performance through the GST compliance system of the enterprises. The results may benefit the policymakers and other emerging economies in focusing on the tax reform factors which enhance the performance leading to better economic growth in the future with the support of MSMEs’ better performance. JEL Code: H20; M10; O33; C30
How Artificial Intelligence can Aid Screening and Detecting Lung Cancer in Lung Cancer Patients

In modern society, lung cancer stands as one of the most dangerous and commonly diagnosed cancers in North America. In recent years, lung cancer has caused more people to die than any other cancer. Most diseases like cancer get worse as time goes on, so the best way to combat it is to identify the disease in its early stages. However, lung cancer shares symptoms with many other diseases like COVID-19, asthma, and pneumonia which leads to doctors incorrectly diagnosing their lung cancer patients. If left unchecked, this catastrophic crisis will only lead to more deaths. Previous research studies have investigated if using Artificial Intelligence in Lung Cancer screening and treatment diagnosis would be successful but have yet to make a conclusive verdict. This paper has put together knowledge about lung cancer detection and artificial intelligence algorithms to determine whether AI can be accurately implemented to detect lung cancer.
The Diagnostic and Therapeutic Dilemma of Seronegative Pulmonary Renal Syndrome: A Case Report

Pulmonary renal syndrome (PRS) is a combination of rapid progressive glomerulonephritis (RPGN) and diffuse alveolar hemorrhage (DAH) caused by a variety of immunological and non-immunological etiologies. The difficulty in identifying and reporting seronegative PRS cases could be attributed to the lack of specific immunological markers. Thus, we report a rare case of a 13-year-old boy who was initially diagnosed with idiopathic pauci-immune pulmonary capillaritis (IPIPC). A year later, his condition became complicated, and was referred for further workup. During his hospital stay, he underwent a renal biopsy that showed stage II membranous nephropathy (MN). He tested negative for immunological markers and a diagnosis of seronegative PRS was established. He responded well to the immunosuppression therapy with monthly follow-ups. As in our patient, PRS may manifest as acute renal failure symptoms and non-specific respiratory symptoms that require extensive workup. The severity of the disease is inferred from the renal function at the time of presentation. Management involves immunosuppression and treatment of the underlying condition, with dialysis dependency occurring in a significant percentage of patients and a high mortality rate, especially in critically ill and older patients. In conclusion, timely diagnosis and treatment are essential given the condition’s rapid progression and high mortality rate.
Chance constraints in PDE constrained optimization

Chance constraints represent a popular tool for finding decisions that enforce a robust satisfaction of random inequality systems in terms of probability. They are widely used in optimization problems subject to uncertain parameters as they arise in many engineering applications. Most structural results of chance constraints (e.g., closedness, convexity, Lipschitz continuity, differentiability etc.) have been formulated in a finite-dimensional setting. The aim of this paper is to generalize some of these well-known semi-continuity and convexity properties to a setting of control problems subject to (uniform) state chance constraints.
A BRIEF REVIEW ABOUT PATIENT COUNSELLING

All around the world, the profession of pharmacy and the notion of pharmaceutical care are quickly evolving. In addition, the pharmacist's role in promoting logical and cautious use of medicine is becoming more important as a result of his technical and professional understanding. It is clearly known that patients who are adequately informed about medications and how to take them receive safe and effective treatment. Therapeutic pharmacists interact with patients on a frequent basis and assist with clinical treatments in addition to the numerous technical activities performed behind the counter. It is not enough to simply hand over a medicine kit to the patient or their representative; it is also necessary to hand over the correct drug to the correct person with the correct information. The act of assisting a client in seeing everything clearly, potentially from a different perspective. This might assist the client in focusing on feelings, experiences, or behaviour with the goal of achieving positive change and establishing a trusting connection. Confidentiality is essential for successful counselling.
If It Ain't Broke, Don't Fix It: Understanding the Value in Producing Film Adaptations and Movie Franchises

The business of making movies is not an easy one; in an industry where very few see financial success, risk aversion often takes the wheel. In order to combat the immense amount of uncertainty, existing research has attempted to establish factors of film success, including actor star power and reviews. However, statistical studies evaluating these factors have produced consistently inconclusive results. To approach this idea from another perspective, this paper investigates two specific areas of film—movie adaptations and film franchises—that contain valuable properties not always as explicitly connected to box office results. While many movies are referenced, two film franchises born of adaptations are referenced most frequently: JK Rowling’s Wizarding World and the Marvel Cinematic Universe (MCU). Firstly, this paper discusses benefits of utilizing successful, readily available source material, highlighting the presence of solid storytelling, world-building, and large, loyal fanbases. Next, it examines filmrelated revenue streams, beginning with a history of film distribution and exhibition; following this historical analysis, it dives into four potential areas of profit beyond distribution: vertical integration, merchandising, theme parks, and subscription-based streaming services. Lastly, this paper explores aspects of these two categories of film that present opportunities for future projects; this section examines multi-part source material, more elaborate source material, and methods of extending the useful life of a particular storyline, character, or universe. Following these sections, this paper will highlight real-world implications and potential areas for future research, before concluding with a summary of its findings and some final thoughts.
Research on Improved PSO in Communication Site Planning

: Aiming at the planning problem of mobile communication station location, this study first uses the base station distribution data to screen, and on this basis, establishes the objective function and constraint conditions of station number and station location positioning. Secondly, based on the basic particle swarm optimization algorithm and Yangwei particle swarm optimization algorithm, the original algorithm is optimized by adding inertia weight disturbance to obtain the optimal number of station sites and station location, and then the station location is clustered. It is concluded that the establishment of 455 macro base stations and 1902 micro base stations is the most suitable, and the weak coverage base stations are divided into 35 categories for management
Velocity Field Response of a Forced Swirl Stabilized Premixed Flame

This study is motivated by the necessity to develop a low order prediction approach for unsteady heat release response characteristics in lean premixed gas turbine combustors. This in turn requires an accurate description of the coherent hydrodynamic oscillations induced in the combustor flow by acoustic forcing. Time resolved velocity and flame position fields are obtained using sPIV and OH-PLIF measurements on a single nozzle, swirl-stabilized, premixed, methane-air flame in a model ``unwrapped'' annular combustor rig. A natural acoustic oscillation in the rig at 115 Hz results in a coherent flow oscillation that is concentrated primarily within the shear layer between the annular jet flow and the central recirculation zone. A linear stability analysis performed about time averaged base flow fields shows that the flow does not have any self-excited hydrodynamic modes. We then compare predictions from a forced response analysis at a forcing frequency of 115 Hz, based on the linearized Navier-Stokes equations for this coherent response. Good qualitative agreement between linear forced response analysis predictions and experimental response results, is seen for the spatial variation of velocity oscillation amplitude fields, away from the burner centerline. Further, good quantitative agreement between predictions and the experimental response is seen for the phase speed of velocity oscillations along the shear layer between the annular jet and the central recirculation zone. This phase velocity is an important flow field characteristic that has a significant impact on the heat release response that results from these coherent velocity oscillations. Present methods for forced response analysis assume uniform forcing amplitude along the radial direction at the forcing location, as well as, open flows along the streamwise direction. Both these assumptions are not strictly true for the present burner which has a center body on its axis. This maybe the reason for somewhat poor qualitative and quantitative agreement between experiments and predictions at the centerline.
Reconfigurable Holographic Surface Aided Collaborative Wireless SLAM Using Federated Learning for Autonomous Driving

Simultaneous Localization and Mapping (SLAM) utilizing millimeter-wave (mmWave) radars is widely recognized as an essential component for autonomous driving applications. In this article, we present a Reconfigurable Holographic Surface (RHS)-aided SLAM system, incorporating federated learning. The hardware cost of autonomous driving systems can be significantly reduced by replacing the expensive phased array antennas, traditionally used in mmWave radars, with the low-cost RHS metasurface antenna. Furthermore, multiple vehicles can collaborate through the federated learning framework, obtaining additional sensed data to enhance SLAM performance. However, the distinctive radiation structure of the RHS and the information exchange within the federated learning framework introduce complexities to the overall SLAM system design. To address these challenges, we propose a multi-vehicle SLAM protocol that regulates RHS-based radar sensing and data processing across multiple vehicles. Additionally, we design algorithms for RHS radiation optimization and federated learning-based localization and mapping. Simulation results demonstrate the efficacy of the proposed approach when compared to existing phased array-based and non-cooperative schemes.
Policy regulations in E-commerce sector – Critical analysis of FDI guidelines for market place model

According to a recent report by Goldman Sachs, the e-commerce market in India is expected to breach the $100 billion mark by the financial year 2020. Factors such as accelerating internet access and penetration of mobile phones and robust investment have driven the growth of this industry, and if current projections are anything to go by, India is on route to becoming the world's fastest growing e-commerce market. Recently Government of India allowed 100 percent FDI in online retail of goods and services under the socalled “marketplace model” through the automatic route, seeking to legitimize existing businesses of e-commerce companies operating in India. With this growth prospects for the Indian e-commerce industry comes the challenge of safeguarding the rights of the consumers. Consumers engaging in purchases through e-commerce platforms are subjected to various clauses, terms and conditions usually known as the fine print, which they are unaware of, or accept them without reading them thoroughly. The paper describes the concept of FDI in general with the pertaining research of the possible merits and demerits of it. The paper outlines the decision of Government to implement 100 percent foreign direct investment in e-commerce sector through marketplace model. Further the paper deals with the legal issues pertaining to the laws and acts framed in this regard and the possible loopholes which can be used to conduct fraudulent activities and also the backlash on governance.
Mechanism of frequency lock-in in transonic buffeting flow

Frequency lock-in can occur on a spring suspended airfoil in transonic buffeting flow, in which the coupling frequency does not follow the buffet frequency but locks onto the natural frequency of the elastic airfoil. Most researchers have attributed this abnormal phenomenon to resonance. However, this interpretation failed to reveal the root cause. In this paper, the physical mechanism of frequency lock-in is studied by a linear dynamic model, combined with the coupled computational fluid dynamics/computational structural dynamics (CFD/CSD) simulation. We build a reduced-order model of the flow using the identification method and unsteady Reynolds-averaged Navier–Stokes computations in a post-buffet state. A linear aeroelastic model is then obtained by coupling this model with a degree-of-freedom equation for the pitching motion. Results from the complex eigenvalue analysis indicate that the coupling between the structural mode and the fluid mode leads to the instability of the structural mode. The instability range coincides with the lock-in region obtained by the coupled CFD/CSD simulation. Therefore, the physical mechanism underlying frequency lock-in is caused by the linear coupled-mode flutter – the coupling between one structural mode and one fluid mode. This is different from the classical single-degree-of-freedom flutter (e.g. transonic buzz), which occurs in stable flows; the present flutter is in the unstable buffet flow. The response of the airfoil system undergoes a conversion from forced vibration to self-sustained flutter. The coupling frequency certainly should lock onto the natural frequency of the elastic airfoil.
Simplified Virtual Synchronous Compensator With Grid–Forming Capability

The Simplified Virtual Synchronous Compensator (S–VSC) is a Virtual Synchronous Machine (VSM) solution available in the literature, which operates as a virtual compensator. Previous works demonstrated that it can provide grid services (e.g., inertial behavior, grid support during faults) only in grid–following operation. However, the grid–forming capability of the S–VSC (and in general of a virtual compensator) has never been investigated in the literature. Therefore, this article proposes an S–VSC model able to operate both in grid–following and in grid–forming configuration. First, the article validates the small–signal stability of the control algorithm both in grid–mode and island operation through an eigenvalue–based stability analysis. Next, the control algorithm is experimentally validated on a 15 kVA inverter connected to a scaled microgrid. The experimental tests demonstrate that the S–VSC can operate both as grid–following and grid–forming. Moreover, it can seamlessly switch from the grid–connected to the island operation without requiring any communication system. Finally, the grid–forming capability of the S–VSC is experimentally validated even in case of a fault occurrence, thus representing a valid solution for the control of a microgrid.
New asymptotic properties for $M$-estimators

In the context of robust covariance matrix estimation, this paper proposes a new approach to understanding the behavior of scatter matrix M-estimators introduced during the 70's in the statistics community. During the last decade, a renewed interest for robust estimators appeared in the signal processing community, mainly due to their flexibility to the statistical model and their robustness to outliers and/or missing data. However, the behavior of these estimators still remains unclear and not understood well enough. A major disadvantage is that they are described by fixed-point equations that make their statistical analysis very difficult. To fill this gap, the main contribution of this work is to compare these estimators to the well-known sample covariance matrix (SCM) in order to infer more accurately their statistical behaviors. Indeed, under the Gaussian assumption, the SCM follows a Wishart distribution. However, when observations turn to be non-Gaussian, the SCM performance can be seriously degraded. In this article, we propose to use robust estimators, more adapted to the case of non-Gaussian models and presence of outliers, and to rely on the SCM properties in a Gaussian framework for establishing their theoretical analysis. To confirm our claims we also present results for a widely used function of $M$-estimators, the Mahalanobis distance. Finally, Monte Carlo simulations for various robust scatter matrix estimators are presented to validate theoretical results.