Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification Markers of Carotid Vulnerable Plaques: An Update

Vulnerable plaques have been a hot topic in the field of stroke and carotid atherosclerosis. Currently, risk stratification and intervention of carotid plaques are guided by the degree of luminal stenosis. Recently, it has been recognized that the vulnerability of plaques may contribute to the risk of stroke. Some classical interventions, such as carotid endarterectomy, significantly reduce the risk of stroke in symptomatic patients with severe carotid stenosis, while for asymptomatic patients, clinically silent plaques with rupture tendency may expose them to the risk of cerebrovascular events. Early identification of vulnerable plaques contributes to lowering the risk of cerebrovascular events. Previously, the identification of vulnerable plaques was commonly based on imaging technologies at the macroscopic level. Recently, some microscopic molecules pertaining to vulnerable plaques have emerged, and could be potential biomarkers or therapeutic targets. This review aimed to update the previous summarization of vulnerable plaques and identify vulnerable plaques at the microscopic and macroscopic levels.
The Oncobiome in Gastroenteric and Genitourinary Cancers

Early evidence suggests a strong association of microorganisms with several human cancers, and great efforts have been made to understand the pathophysiology underlying microbial carcinogenesis. Bacterial dysbiosis causes epithelial barrier failure, immune dysregulation and/or genotoxicity and, consequently, creates a tumor-permissive microenvironment. The majority of the bacteria in our body reside in the gastrointestinal tract, known as gut microbiota, which represents a complex and delicate ecosystem. Gut microbes can reach the pancreas, stomach and colon via the bloodstream. Oral bacterial translocations can also occur. In the stomach, pancreas and colon, low microbial diversity is associated with cancer, in particular with a bad prognosis. The urogenital tract also harbors unique microbiota, distinct from the gut microbiota, which might have a role in the urinary and female/male reproductive cancers’ pathogenesis. In healthy women, the majority of bacteria reside in the vagina and cervix and unlike other mucosal sites, the vaginal microbiota exhibits low microbial diversity. Genital dysbiosis might have an active role in the development and/or progression of gynecological malignancies through mechanisms including modulation of oestrogen metabolism. Urinary dysbiosis may influence the pathogenesis of bladder cancer and prostate cancer in males. Modulation of the microbiome via pre, pro and postbiotics, fecal or vaginal microbiota transplantation and engineering bacteria might prove useful in improving cancer treatment response and quality of life. Elucidating the complex host-microbiome interactions will result in prevention and therapeutic efficacy interventions.
State Diagnosis and Monitoring Method of Robot Electric Power Equipment Based on Data Mining

In recent years, with the continuous improvement of system networking, the use of robot electric power equipment is becoming more and more extensive, so it is very necessary to diagnose and monitor its status. Therefore, a diagnosis and monitoring system based on the data mining algorithm is constructed. This study mainly uses the gray prediction algorithm and discrete prediction algorithm; the results showed that after the combination of gray prediction has a certain degree of increase, through the analysis, we can draw the reason for this is that gray prediction algorithm to check the failure data is no longer as input data in the detection of outliers, thereby reducing the noise of the data set, so that the perfomance of oulier detection algorithm can ahieve a great progress. In terms of the running time of outlier detection, the running time of outlier detection using K-Mean algorithm and DBSCAN algorithm increases to a certain extent because the algorithm combines gray prediction and increases the algorithm process.
Stable state estimator for bilinear systems

Abstract This paper considers a stable state observer for bilinear systems. The design of the proposed observer is based on Lyapunov stability and the norm of the estimation error decays to zero exponentially irrespective of the input, although the estimation error itself depends on the input. Sufficient conditions are given for the existence of a stable observer. These conditions make it possible to design a stable observer for a class of bilinear systems, which has no observer by the other method.
Management of Primary Hyperparathyroidism

Since the last international guidelines were published in 2014 on the evaluation and management of primary hyperparathyroidism (PHPT), new information has become available with regard to evaluation, diagnosis, epidemiology, genetics, classical and nonclassical manifestations, surgical and nonsurgical approaches, and natural history. To provide the most current summary of these developments, an international group, consisting of over 50 experts in these various aspects of PHPT, was convened. This paper provides the results of the task force that was assigned to review the information on the management of PHPT. For this task force on the management of PHPT, two questions were the subject of systematic reviews using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) methodology. The full report addressing surgical and nonsurgical management of PHPT, utilizing the GRADE methodology, is published separately in this series. In this report, we summarize the results of that methodological review and expand them to encompass a much larger body of new knowledge that did not specifically fit the criteria of the GRADE methodology. Together, both the systematic and narrative reviews of the literature, summarized in this paper, give the most complete information available to date. A panel of experts then considered the last set of international guidelines in light of the newer data and assessed the need for their revision. This report provides the evidentiary background to the guidelines report. In that report, evidence from all task forces is synthesized into a summary statement and revised guidelines for the evaluation and management of PHPT. © 2022 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
Motor Coordination and Global Development in Subjects with Down Syndrome: The Influence of Physical Activity

Background: Many research studies have investigated motor impairments and delayed development in children with Down Syndrome (DS). However, very few studies detected these features in adults with DS. Hence, this study aimed to investigate the relationship between motor coordination and global development in subjects with DS, including adults. Furthermore, the second aim was to detect any differences in motor coordination and global development as a function of the practice of physical activity (PA) in this population. Methods: Twenty-five participants with DS (10 f, 15 m), with a chronological mean age of 27.24 years and development mean age of cognitive area of 4.93 years, were enrolled and divided into a physically active group (PA-G; n = 15) and a physically inactive group (PI-G; n = 10). All participants performed the Movement Assessment Battery for Children (M-ABC) to assess fine and gross motor skills, while the Developmental Profile 3 (DP-3) checklist was administered to the parents in order to screen strengths and weaknesses of five developmental areas of their relatives with DS. Results: Our results showed positive correlations between the following variables: global motor coordination and global development, global motor coordination and adaptive behavior development area, aiming and catching skills and global development, aiming and catching skills and adaptive behavior development area. As for the practice of PA, PA-G showed higher scores than PI-G in all the tasks of both the M-ABC and the DP-3, though significant differences were found only for the global motor coordination, for the aiming and catching skills, as well as for the physical development area. Conclusions: The findings of this study reinforce the need to implement and encourage the practice of PA in order to promote well-being and social inclusion in subjects with DS.
Online EFL Learning Experience in Saudi Universities during COVID-19 Pandemic

The worldwide COVID-19 pandemic has changed the norms of the educational systems worldwide, including English language learning. The move from face-to-face classes to online classes has influenced English language learning. The study intends to explore the Online EFL Learning Experience in Saudi Universities during COVID19. It investigates how the online environment adopted by the universities in KSA sustains EFL online classes. The study employed the quantitative research method, as a questionnaire-based survey was conducted to collect data. The analysis method was the descriptive statistical analysis. The target population for this study were the students in the undergraduate programs. The findings revealed several positive and practical aspects of the online university environment (the Blackboard) in helping the participants learn English skills. However, despite exuding the efficiency in online teaching, some technical issues were reported, such as losing signal during sessions, communicating with the technical service center, interruption of online sessions, and delay in online texting. The study recommends to improve teachers’’ technical skills and adoption of teaching style suitable to the online environment, in order to enhance their performance and bring innovation in their interaction with students for a more sustainable synchronous teaching sessions.
Fractions, Decimals, and Rational Numbers

Contents Introduction (p. 1) (A) Definition (p. 4) (B) Equivalent fractions (p. 7) (C) Fraction as division (p. 9) Introduction This is a slightly revised version of the report, written in the early part of 2007 at the request of the Learning Practices Task Group of the National Mathematics Advisory Panel (NMP), on the curricular aspects of the teaching and learning of fractions. For a reason to be explained presently, my decision was to focus the report on the difficulties of teaching fractions and rational numbers in grades 5–7. It contains a detailed description of the most
Time-Frequency Spillover Effect of Domestic and Foreign Commodity Markets on China’s Price Levels

ABSTRACT In this study, a dynamic spillover index method based on generalized variance decomposition is used to measure the volatility and return spillover effects of futures and spot markets on China’s price levels (consumer and producer price indices) at different time-frequencies. The results indicate that both domestic and foreign futures and spot markets exerted time-varying volatility and return spillover effects on China’s price levels and that major global crises aggravate the overall volatility and return spillover effect of the global futures and spot markets. In addition, the spillover effect of domestic and foreign futures and spot markets on China’s price levels is asymmetrical. The results of this study also indicate that the longer the frequency of a cycle is, the stronger the spillover effect of each market on price fluctuations is, and the weaker the return spillover effect is. Finally, the results demonstrate that China can use a combination of monetary easing and credit tightening to control inflation more effectively.
Topological Theory of Ceramic High Temperature Superconductors

Optimally doped ceramic superconductors (cuprates, pnictides, .) exhibit transition temperatures Tc much larger than strongly coupled metallic superconductors like Pb (Tc= 7.2K, Eg/kTc = 4.5), and exhibit many universal features that appear to contradict the BCS theory of superconductivity based on attractive electron-phonon pairing interactions. Here I argue that this paradoxical simplicity is plausibly resolved within the framework of the Pauling-Phillips self-organized, hard-wired dopant network model of ceramic superconductors, which has previously explained many features of the normal-state transport properties of these materials and successfully predicted strict lowest upper bounds for Tc in the cuprate and pnictide families.
Development journalism and revitalisation of familism in Malaysia

This paper explores the role of Malaysian media in the revitalisation of familism, which seems to descend in most Asian societies. The examination of news articles published in English-language Malaysian newspapers between 2011–2021 through critical discourse analysis reveals that newspapers in Malaysia are playing a moral guardianship role by warning readers of the slipping of filial responsibility and the dangers of the alternatives. The papers construct a discourse in support of an established social norm of traditional family roles in caring for family members – particularly, elderly people who are on the rise throughout the world – something the government supports as well, as it relieves it of any obligation to elderly citizens. The role of journalists in the rekindling of familial piety can be linked to development journalism that emphasises the media's partnership with the government as care of older family members absolves the government from the cost of care associated with an increasingly ageing population.
Neuregulin‐1‐ErbB signaling promotes microglia activation contributing to mechanical allodynia of cyclophosphamide‐induced cystitis

Central sensitization playsimportant roles in cyclophosphamide (CYP)‐induced cystitis. In addition, as a visceral pain, CYP‐induced chronic pain shares common pathophysiological mechanisms with neuropathic pain. Previous studies demonstrated that neuregulin‐1 (Nrg1)‐ErbB signaling contributes to neuropathic pain, but whether and how this signaling influences mechanical allodynia in CYP‐induced cystitis is unclear. This study aimed to determine whether and how Nrg1‐ErbB signaling modulates mechanical allodynia in a CYP‐induced cystitis rat model.
Interference issues in LoRaWAN: A comparative study using simulator and analytical model

Packet transmission in LoRaWAN implements the use of the unslotted ALOHA protocol, which leads to a high probability of interference, and thus, degrades the system performance. Reliability and scalability are affected by interference too. Different forms of studies, including experimental, analytical and simulation models, have been carried to find out how to minimize the effects of interference and maximize network performance. In this paper, we study the effects of interference in LoRaWAN by studying a number of important parameters in the comparison of an analytical model and a simulator. We have developed the analytical model by extending one model from the literature, developing in the process an extended theoretical framework to improve the original model. Also, a popular simulator has been selected from different alternatives. Several modifications were made to both the analytical model and the simulator to make them flexible enough to provide a common platform for the comparative analysis. This study provides some important perspectives on the trade-offs of various parameters in terms of uplink delivery rate and enables choosing the optimum configuration in terms of packet generation interval, coding rate, spreading factor taking into account the number of nodes in the system. Thus, it enables us to find out similarities and inconsistencies between analytical model and simulations.
The Sustainable Development Goals Psychological Inventory: A Network Analysis in Italian University Students

The Sustainable Development Goals Psychological Inventory (SDGPI) is a recently developed self-report questionnaire that assesses interest, motivation, and self-efficacy associated with each of the 17 Sustainable Development Goals (SDGs) advanced by the United Nations. This study aims to investigate, via network analysis, (a) the relationships between interest, motivation, and self-efficacy for each SDG and (b) the most central SDGs. To this end, 417 Italian university students (73.9% females and 26.1% males; mean age: 22.20; DS = 3.02) were assessed through the SDGPI, and two network structures were estimated. The first network structure investigates links (edges) between interest, motivation, and self-efficacy in relation to each specific SDG. The second network structure investigates most central SDGs as the sum of interest, motivation, and self-efficacy for each specific SDG. Regarding results, the first network structure showed that five SDGs had strong and statistically significant edges between interest, motivation, and self-efficacy; seven SDGs had strong and statistically significant edges between interest and motivation but not self-efficacy; five SDGs had no statistically significant edges linking the other dimensions. The second network structure revealed that SDG 2 (Zero Hunger) and SDG 7 (Affordable and clean energy) were the most central nodes. Implications for research, tailor-made interventions, and prevention were discussed.
A 2-stage, 140-GHz Class-B Power Amplifier Achieving 22.5% PAE at 17.3 dBm in a 250-nm InP HBT Technology

We demonstrate a 140-GHz class-B power amplifier (PA) in a 250-nm Indium Phosphide (InP) technology achieving saturated output power of 17.3 dBm with power-added efficiency (PAE) of 22.5%. This two-stage PA design offers more than 10-dB gain using a pseudo-differential topology with base degenerated common-base transistor cells. The power combining and impedance matching are performed with an electrically-short coupled-line balun to provide low impedance at all harmonics.
Tax Aggressiveness: The Role of Capital Intensity and Inventory Intensity with Leverage as Intervening

This Research Aims To Know The Effect Of Capital Intensity And Inventory Intensity On Tax Aggressiveness And To Know The Role Of Leverage In Mediating Capital Intensity And Inventory Intensity To Tax Aggressiveness In The Mining Industry In Indonesia. The population in this study are mining companies listed on the Indonesia Stock Exchange (IDX) from 2016-2020. The sample used in this study was selected by purposive sampling. The sample of companies that were successfully obtained in this study was 45 companies. The Source of data used in this study is secondary data with a purposive sampling method. The data analysis technique used is with the help of the SPSS Version 20.00 Application Program for WindowsThe results showed that Capital Intensity has a positive effect on Tax Aggressiveness, Inventory intensity has a positive effect on Tax Aggressiveness, Leverage is not able to mediate Capital Intensity on Tax Aggressiveness, Leverage is not able to mediate Inventory Intensity on Tax Aggressiveness and Leverage has a positive effect on Tax Aggressiveness.
Reduction of Copper, Iron, and Lead Content in Laboratory Wastewater Using Zinc Oxide Photocatalyst under Solar Irradiation

Heavy metal is a type of metal that has a high density and high toxicity when consumed by living things, especially humans. To prevent the impact of environmental pollution, optimal handling of wastewater containing heavy metals is required, including the wastewater from laboratories. This research aimed to study the effect of pH, catalyst dose, and irradiation time on the reduction of Copper (Cu), Iron (Fe), and Lead (Pb) heavy metals and their application to laboratory wastewater treatment. Among the Advanced Oxidation Processes (AOPs) methods, photocatalysis was chosen to reduce the level of Cu, Fe, and Pb heavy metals where zinc oxide (ZnO) is used as a photocatalyst and the sunlight as a light source. To determine the effect of pH, catalyst dose, and time on the reduction of heavy metal levels, firstly, this research used the synthetic wastewater containing Cu, Fe, or Pb heavy metals. On the basis of the experimental results, it is concluded that the pH value, catalyst dose, and time affect the photocatalytic process, decreasing the levels of Cu, Fe, and Pb metals. The optimum pH value obtained for Cu was at pH 7–8, for Fe it was at pH 6, and for Pb it was at pH 8; in turn, the metal removal percentages were 99.46, 99.91, and 99.70%, respectively. In the photocatalysis of synthetic wastewater, high removal percentage of more than 99% was achieved by using 0.1 g/L catalyst. The optimum decrease of metals occurred in the first 15 minutes of solar irradiation where the removal percentage was close to 100%. In this study, the application of ZnO photocatalyst under solar irradiation can reduce the heavy metals content in the laboratory wastewater by almost 100%, which meets the environmental quality standard for Cu, Fe, and Pb.
Non-Invasive Brain Stimulation Effects on Biomarkers of Tryptophan Metabolism: A Scoping Review and Meta-Analysis

Abnormal activation of the kynurenine and serotonin pathways of tryptophan metabolism is linked to a host of neuropsychiatric disorders. Concurrently, noninvasive brain stimulation (NIBS) techniques demonstrate high therapeutic efficacy across neuropsychiatric disorders, with indications for modulated neuroplasticity underlying such effects. We therefore conducted a scoping review with meta-analysis of eligible studies, conforming with the PRISMA statement, by searching the PubMed and Web of Science databases for clinical and preclinical studies that report the effects of NIBS on biomarkers of tryptophan metabolism. NIBS techniques reviewed were electroconvulsive therapy (ECT), transcranial magnetic stimulation (TMS), and transcranial direct current stimulation (tDCS). Of the 564 search results, 65 studies were included with publications dating back to 1971 until 2022. The Robust Bayesian Meta-Analysis on clinical studies and qualitative analysis identified general null effects by NIBS on biomarkers of tryptophan metabolism, but moderate evidence for TMS effects on elevating serum serotonin levels. We cannot interpret this as evidence for or against the effects of NIBS on these biomarkers, as there exists several confounding methodological differences in this literature. Future controlled studies are needed to elucidate the effects of NIBS on biomarkers of tryptophan metabolism, an under-investigated question with substantial implications to clinical research and practice.
Design and test results of scientific x-ray CMOS cameras

In recent years, scientific CMOS (sCMOS) sensors have found increasing applications to X-ray detection, including Xray astronomical observations. In order to examine the performance of sCMOS sensors, we have developed X-ray cameras based on sCMOS sensors. Two cameras, CNX22 and CNX 66, have been developed using sCMOS sensors with a photosensitive area of 2 cm × 2 cm and 6 cm × 6 cm, respectively. The designs of the cameras are presented in this paper. The CNX22 camera has a frame rate of 48 fps, whereas CNX66 has a frame rate of currently 20 fps, that can be boosted to 100 fps in the future. The operating temperature of the sCMOS sensor can reach to -20°C for CNX22 and - 30°C for CNX66 with a peltier cooler device. In addition to the commonly used mode of saving original images, the cameras provide a mode of real-time extraction of X-ray events and storage their information, which significantly reduces the requirement for data storage and offline analysis work. For both cameras, the energy resolutions can reach less than 200 eV at 5.9 keV using single-pixel events. These cameras are suitable for X-ray spectroscopy applications in laboratories and calibration for the space X-ray telescopes.