Miracle-dz/UniFAR-FTUs huggingface dataset:
Multifeature Contrast Enhancement Algorithm for Digital Media Images Based on the Diffusion Equation

This paper studies the processing of digital media images using a diffusion equation to increase the contrast of the image by stretching or extending the distribution of luminance data of the image to obtain clearer information of digital media images. In this paper, the image enhancement algorithm of nonlinear diffusion filtering is used to add a velocity term to the diffusion function using a coupled denoising model, which makes the diffusion of the original model smooth, and the interferogram is solved numerically with the help of numerical simulation to verify the denoising processing effect before and after the model correction. To meet the real-time applications in the field of video surveillance, this paper focuses on the optimization of the algorithm program, including software pipeline optimization, operation unit balancing, single instruction multiple data optimization, arithmetic operation optimization, and onchip storage optimization. These optimizations enable the nonlinear diffusion filter-based image enhancement algorithm to achieve high processing efficiency on the C674xDSP, with a processing speed of 25 posts per second for 640 × 480 size video images. Finally, the significance means a value of super pixel blocks is calculated in superpixel units, and the image is segmented into objects and backgrounds by combining with the Otsu threshold segmentation algorithm to mention the image. In this paper, the proposed algorithm experiments with several sets of Kor Kor resolution remote sensing images, respectively, and the Markov random field model and fully convolutional network (FCN) algorithm are used as the comparison algorithm. By comparing the experimental results qualitatively and quantitatively, it is shown that the algorithm in this paper has an obvious practical effect on contrast enhancement of digital media images and has certain practicality and superiority.
No Strings Attached: Philanthropy, Race, and Donor Control From Black Power to Black Lives Matter

This article examines a moment of crisis and experimentation in philanthropy from the late 1960s to analyze how race shapes philanthropy. Specifically, it considers two giving circles in Boston launched as a linked funding initiative to address economic and racial inequality: (a) a group of wealthy, White suburbanites who started the Fund for Urban Negro Development to direct donations with “no strings attached” to the other, (b) the Boston Black United Front Foundation, an entity started by Black power activists in the city. Using archival records of the two groups, I analyze their efforts to decouple hierarchies of race and giving in funder–grantee relationships, and connect scholarship on African American history and philanthropy to that on donor control. I frame the notion of “no strings attached” giving as relative and shaped by positioning and identity in ways that produce multiple understandings of the material and abstract “strings” of philanthropy.
Examination of white blood cell indicators for three different ploidy level sturgeon species reared in an indoor recirculation aquaculture system for one year

Functional diploid Acipenser ruthenus, functional tetraploid Acipenser gueldenstaedtii and functional hexaploid Acipenser brevirostrum juveniles were sampled monthly for one year, and the white blood cell indicators were determined. The total number of leukocytes (TL) was 40.93 ± 17.24 × 109/l for the diploids, 20.63 ± 11.20 × 109/l for the tetraploids, 14.13 ± 7.72 × 109/l for the hexaploids. The TL decreased with an increasing ploidy level. The highest number of leukocytes was reached during September and October for A. ruthenus and A. brevirostrum, from October to January for A. gueldenstaedtii (a statistically significant finding). The lymphocytes dominated (76.89–80.14%) in the differential counts and were found to be reduced in June and July in each group. Granulocytes were represented by neutrophils and eosinophils. Counting from all the leukocytes, the neutrophils represented 13.0–18.7% and eosinophils represented 5.7–6.1%. Increasing number of nuclear segments in the granulocytes was dependent on the increasing ploidy level. Nuclear segmentation in the lymphocytes was a common finding in higher ploidy level groups. The data suggest a significant effect of ploidy level on the total number of leukocytes and morphological nuclear changes in the granulocytes and lymphocytes. The seasonal variation in the differential leukocyte counts depends on the species and the influence of various external conditions rather than the ploidy level.
Taking materials dynamics to new extremes using machine learning interatomic potentials

Understanding materials dynamics under extreme conditions of pressure, temperature, and strain rate is a scientific quest that spans nearly a century. Atomic simulations have had a considerable impact on this endeavor because of their ability to uncover materials’ microstructure evolution and properties at the scale of the relevant physical phenomena. However, this is still a challenge for most materials as it requires modeling large atomic systems (up to millions of particles) with improved accuracy. In many cases, the availability of sufficiently accurate but efficient interatomic potentials has become a serious bottleneck for performing these simulations as traditional potentials fail to represent the multitude of bonding. A new class of potentials has emerged recently, based on a different paradigm from the traditional approach. The new potentials are constructed by machinelearning with a high degree of fidelity from quantum-mechanical calculations. In this review, a brief introduction to the central ideas underlying machine learning interatomic potentials is given. In particular, the coupling of machine learning models with domain knowledge to improve accuracy, computational efficiency, and interpretability is highlighted. Subsequently, we demonstrate the effectiveness of the domain knowledge-based approach in certain select problems related to the kinetic response of warm dense materials. It is hoped that this review will inspire further advances in the understanding of matter under extreme conditions.
Visual SLAM Based Spatial Recognition and Visualization Method for Mobile AR Systems

The simultaneous localization and mapping (SLAM) market is growing rapidly with advances in Machine Learning, Drones, and Augmented Reality (AR) technologies. However, due to the absence of an open source-based SLAM library for developing AR content, most SLAM researchers are required to conduct their own research and development to customize SLAM. In this paper, we propose an open source-based Mobile Markerless AR System by building our own pipeline based on Visual SLAM. To implement the Mobile AR System of this paper, we use ORB-SLAM3 and Unity Engine and experiment with running our system in a real environment and confirming it in the Unity Engine’s Mobile Viewer. Through this experimentation, we can verify that the Unity Engine and the SLAM System are tightly integrated and communicate smoothly. In addition, we expect to accelerate the growth of SLAM technology through this research.
Morphologic Variants of the Hand Motor Cortex in Developing Brains from Neonates through Childhood Assessed by MR Imaging

BACKGROUND AND PURPOSE: Knowledge of anatomic markers of the hand motor cortex is essential in the evaluation and treatment of motor neurologic diseases for both adults and developing populations. However, hand motor cortex variants in developing brains remain to be investigated. Our objective was to observe morphologic variants of the hand motor cortex in developing brains from neonates through childhood. MATERIALS AND METHODS: In this study, 542 participants (0∼15 years of age) were retrospectively enrolled and divided into different age groups. The hand motor cortex morphology was evaluated on the basis of 3D T1WI. Variations in hand motor cortex variants were compared among different age groups. Inter-gender and interhemispheric differences of hand motor cortex variants were also evaluated. RESULTS: Various hand motor cortex variants could be observed in developing brains, even in the neonatal period. One new morphologic shape, “immature Ω,” was found in neonates and infants. The proportion of this new shape decreased dramatically during the first year after birth, then disappeared after 1 year of age. It persisted for a longer time in the right hemisphere and in males. However, sex or hemispheric effects on the distribution of the proportion of variants were not statistically significant. Furthermore, the proportion of concordance of the bilateral hand motor cortex showed an increasing trend with age (P = .006), higher in females than males. CONCLUSIONS: Various hand motor cortex variants already existed at birth. The distribution of proportions of different variants developmentally varied during the first year after birth and became stable after 1 year of age. The concordance of the bilateral hand motor cortex could be influenced by age and sex.
Recognition of Fracture Image Based on Gray Level Co-occurrence Matrix

Fracture image recognition is an important part of failure analysis,but the problem of low recognition rate exists at large.A recognition method of fracture image based on gray level co-occurrence matrix is presented in this paper.Gray level co-occurrence matrix method is applied to metal fracture image recognition by extracting features,and separability criterion is used to obtain building factors including the forming step d,the gray-level of image g and forming direction θ which can affect texture feature parameter.And redundant feature parameters which are used to express metal fracture image texture are eliminated by correlation analysis.Finally,BP neural network classifier is used to classify the fracture image.Experiment results show that it is feasible to classify metal fracture image and the recognition rate is satisfied based on this method.
Intraoperative Bleeding Management: An Updating Literature Review: Review Article

Background: Intraoperative bleeding remains a major complication during and after surgery, leading to increased morbidity and mortality. Several influences determine the complex causes of bleeding in surgical patients. About 75 to 90% of early intraoperative and postoperative bleeding is due to technical factors. In some cases, however, acquired or congenital coagulopathies can stimulate, if not directly cause, surgical bleeding. Objectives: This paper aims to overview etiology, causes, diagnosis, and updated management of intraoperative bleeding. Methods: The review article ran from July 1, 2021 to October 31, 2021. We searched articles on etiology, causes, and treatments published in English worldwide in the Medline, EBSCO and PubMed databases. No software was used to analyze the data. Team members reviewed the data to determine initial results. Results: All patients scheduled for elective surgery should be screened for possible hemostatic defects using tests, and, if necessary, laboratory tests. Treatment of intraoperative bleeding consists of identifying patients at risk and understanding the effect of surgery on hemostasis. For patients at high risk of bleeding, a pre-operative meeting with a multidisciplinary team (anesthesiologist, surgeon, hematologist, radiologist) can discuss the correct surgical procedure. Conclusion: Technical variables account for 75-90% of initial intraoperative and postoperative bleeding. However, in other cases it is associated with acquired or congenital coagulation disorders. All patients scheduled for elective surgery should be checked for problems with hemostasis. Treatment of intraoperative bleeding involves identifying those at risk and understanding the effect of surgery on hemostasis.
Smart Home concept and the integration of energy meters into a home based system

System aspects are becoming more important in domestic applications areas such as the 'Smart Home' concept. Such system oriented evolutions will significantly influence the domestic environment, including metering and energy management applications. The author describes general aspects of Smart Home systems, including application examples and customer benefits. Metering related points are analyzed by showing the system oriented functions of electricity and other meters. Important points are automatic meter reading including billing and prepayment, load management and energy optimization, security aspects and customer communication and services. >
Balancing cholesterol in the brain: from synthesis to disposal

The cholesterol is a vital component of cell membranes and myelin sheaths, and a precursor for essential molecules such as steroid hormones. In humans, cholesterol is partially obtained through the diet, while the majority is synthesized in the body, primarily in the liver. However, the limited exchange between the central nervous system and peripheral circulation, due to the presence of the blood-brain barrier, necessitates cholesterol in the brain to be exclusively acquired from local de novo synthesis. This cholesterol is reutilized efficiently, rendering a much slower overall turnover of the compound in the brain as compared with the periphery. Furthermore, brain cholesterol is regulated independently from peripheral cholesterol. Numerous enzymes, proteins, and other factors are involved in cholesterol synthesis and metabolism in the brain. Understanding the unique mechanisms and pathways involved in the maintenance of cholesterol homeostasis in the brain is critical, considering perturbations to these processes are implicated in numerous neurodegenerative diseases. This review focuses on the developing understanding of cholesterol metabolism in the brain, discussing the sites and processes involved in its synthesis and regulation, as well as the mechanisms involved in its distribution throughout, and elimination from, the brain.
Endovascular Management of Hemorrhagic Stroke

Significant advances in endovascular neurosurgery tools, devices, and techniques are changing the approach to the management of acute hemorrhagic stroke. The endovascular treatment of intracranial aneurysms emerged in the early 1990s with Guglielmi detachable coils, and since then, it gained rapid popularity that surpassed open surgery. Stent-assisted coiling and balloon remodeling techniques have made the treatment of wide-necked aneurysms more durable. With the introduction of flow diverters and flow disrupters, many aneurysms with complex geometrics can now be reliably managed. Arteriovenous malformations and fistulae can also benefit from endovascular therapy by embolization using n-butyl cyanoacrylate (NBCA), Onyx, polyvinyl alcohol (PVA), and coils. In this article, we describe the role of endovascular treatment for the most common causes of intracerebral and subarachnoid hemorrhages, particularly ruptured aneurysms and vascular malformations.
The First 1000 Days of Infant

The third edition of the Nursing and Pediatrics Congress was held in Paris from 16-19 June 2021, with the aim of contributing the experiences and reflections of relevant health professionals (pediatricians, pediatric surgeons, obstetricians, nurses, midwives, dieticians, and lactation consultants) to the knowledge of the most critical period of human life: its first 1000 days [. ].
Sleep Quality Among Informal Caregivers During the COVID-19 Pandemic: A Cross-Sectional Study

Sleep is an integral component of health. The impact of the COVID-19 pandemic on sleep quality among informal caregivers, individuals who provide unpaid care or assistance to family members or friends, assisting older adults is not well understood. Therefore, informal caregivers in the United States providing care for individuals aged 50+ were recruited via Amazon’s Mechanical Turk, an online platform for enrolling study participants into social and behavioral science research, to complete an online survey. The sample of informal caregivers (n = 835) was 69% male and 55% non-Hispanic. Multivariable linear regression models were constructed to assess the associations between sleep disturbance scores (SDS) and sleep-related impairment scores (SIS) and caregiving-related measures (hours caregiving/week, length of time spent caregiving, and caregiver burden), demographics, and region of the United States. The analysis determined that Black (β = 2.6, 95% CI [−4.3, −0.9]) and Asian informal caregivers (β = −1.8, 95% CI [−3.4, −0.3]) had lower mean SIS than White caregivers, the referent group. In addition, increasing caregiver burden was associated with increased SDS (β = 0.8, 95% CI [0.6, 1.0]) and SIS (β = 1.3, 95% CI [0.7, 1.6]). In conclusion, higher caregiver burden was associated with higher SIS and SDS, suggesting that informal caregivers' sleep should be assessed, and when needed interventions should be offered.
A mixed-methods approach to identifying buyers’ competencies for enabling innovation

ABSTRACT Purchasing and supply management (PSM) plays a pivotal role in increasing overall competitiveness as buyers interact with innovative suppliers and internal teams. The competence-based view encourages buyers to specialise in a few core competencies, but less is known about the range of competencies needed for innovation. Thus, this article aims to understand the individual competencies that PSM professionals need to bring added value to innovation. To address this gap, our research is first based on the findings of the state of the art. Then, mixed-methods research is conducted. It consists of exploratory analysis based on five in-depth case studies including 23 interviews complemented with an extended survey of 138 PSM professionals highly experienced in innovation. These professionals rated the importance of 31 competencies, out of which 18 were revealed thanks to the qualitative phase. The results of the second phase highlighted and expanded some competencies known and shown new ones.
Implementing Public Accountant Professional Standards to Improve Audit Quality in Public Accountant Firms in East Java, Indonesia

The purpose of this research is to adopt public accounting professional standards in Malang and Surabaya, East Java, Indonesia, in order to improve audit quality. A total of 150 junior and senior auditors, supervisors, managers, and partners from public accounting companies in Malang and Surabaya, Indonesia, were included in the sample. The study's findings revealed that the competency of the auditors performing audits on behalf of the customer had an impact on the audit quality. Recommendations for improving audit quality based on public accountants' professional standards should be maximized and implemented to public accountants' audits on the client side so that auditor quality improves and more assignments are completed.
Adaptively Reduced DRAM Caching for Energy-Efficient High Bandwidth Memory

In-package DRAM cache provides a higher bandwidth than conventional memory systems. Adapting the cache management to the run-time characteristics of each application seems a promising approach improving bandwidth efficiency and performance. Regrettably, fine-grained cache block monitoring and adaptation often becomes impractical due to its significant bandwidth, performance and hardware overheads. This paper proposes a novel mechanism for monitoring cache blocks using two parameters that are adjustable at run time. We propose two low-cost counter-based mechanisms to realize the block monitors in DRAM. Moreover, we propose a novel scheduling mechanism that opportunistically transfers the counter information to the DRAM stack when the data movement overhead reaches its minimum. Our simulation results on a set of data intensive parallel applications indicate that the proposed mechanisms achieve averages of 31%, 24% performance improvements over the state-of-the-art DRAM cache architectures. System energy savings over the same baselines are 29%, 18% on average.
The Personal and Professional Impact of Patients’ Complaints on Doctors—A Qualitative Approach

Background: Complaints regarding medical practice represent a harsh reality of the current world. Patients have the right to receive explanations and compensation when they are injured during the medical act, but the increased potential for exposure to complaints determines personal and professional consequences for the doctors, with significant impact on their health and practice. Thus, the aim of our research was to analyze in depth the impact of complaints on the doctors involved. Materials and methods: The authors conducted a qualitative study, using a semi-structured interview, addressed to doctors who had complaints from patients. The participants in our research were identified using an adapted version of the snowball method. Results: After the analysis of the interviews using the inductive method, nine themes resulted, seven of which are addressed in this paper: injustice, personal impact, professional impact, difficulties, supportive factors, the attitude of the hospital management and the attitude of colleagues. At the personal level, the doctors were overwhelmed by insomnia, nightmares, stress and anxiety, and at the professional level by doubts about medical decisions, fear, anxiety and the tendency to avoid patients with severe diseases. Conclusions: The study revealed that physicians who had complaints from patients are deeply affected by the complaint itself and the associated investigation procedure, even if, to a lesser extent, some of the participants found motivation for a better management of the situation. The study also showed the need for changes in the legal and medical systems in order to create mechanisms to support the doctors during the investigation process.
Separation and Validation of Bond-Wire and Solder Layer Failure Modes in IGBT Modules

Thermal stress of the power semiconductor is one of the most important indicators for the reliability assessment of power electronics-based power systems. The mapping of the Insulated-Gate Bipolar Transistor (IGBT) junction temperature is usually required to analyze the thermal stress and loss dissipation. However, it is difficult to identify inherent mechanisms of the bond-wire and solder layer failure modes in IGBT power modules. In order to solve the problem, an online method to identify inherent mechanisms of the bond-wire and solder layer failure modes in IGBT power modules is proposed. This method can separate the root causes of the bond-wire lift-off and solder layer fatigue by measuring the on-state voltage drop through a sinusoidal loading current based on an H-bridge circuit, together with its corresponding control and measurement. By comparing the on-state voltage drop at the intersection current and the peak current of the converter, the wear-out conditions of the IGBT power modules can be monitored in real-time with the determination of different failure modes. Finally, experimental results are presented in order to verify the effectiveness and feasibility of the proposed method.