Miracle-dz/UniFAR-FTUs huggingface dataset:
Resveratrol Modulates the Redox Response and Bile Acid Metabolism to Maintain the Cholesterol Homeostasis in Fish Megalobrama amblycephala Offered a High-Carbohydrate Diet

This study aimed to characterize the effects of resveratrol on the redox balance, cholesterol homeostasis and bile acid metabolism of Megalobrama amblycephala offered a high-carbohydrate diet. Fish (35.0 ± 0.15 g) were fed four diets including one control diet (32% nitrogen-free extract), one high-carbohydrate diet (45% nitrogen-free extract, HC), and the HC diet supplemented with different levels (0.04%, HCR1; 0.08%, HCR2) of resveratrol for 12 weeks. The HC diet-induced redox imbalance is characterized by increased MDA content and decreased T-SOD and CAT activities in the liver. Resveratrol attenuated this by up-regulating the transcription of Cu/Zn-sod, and increasing the activities of T-SOD, CAT, and GPX. The HC diet enhanced the cholesterol synthesis, but decreased the bile acid synthesis via up-regulating both hmgcr and acat2, and down-regulating cyp7a1, thus resulting in excessive cholesterol accumulation. Resveratrol supplement decreased cholesterol synthesis, and increased cholesterol uptake in the liver by down-regulating both hmgcr and acat2, and up-regulating ldlr. It also increased bile acid synthesis and biliary excretion by up-regulating cyp7a1, and down-regulating mrp2, oatp1, and oatp4 in the hindgut, thereby decreasing cholesterol accumulation. In conclusion, resveratrol improves the cholesterol homeostasis of Megalobrama amblycephala fed a high-carbohydrate diet by modulating the redox response and bile acid metabolism.
Coupling meshes in 3D problems involving movements

A technique for use in finite-element models for coupling independent three-dimensional meshes together is presented. The coupling is done at an interface using Lagrange multipliers which can be identified as the normal component of B on the interface. This technique is particularly well suited to the analysis of devices with moving parts where the modeling of the moving parts at different positions is required. The proposed scheme was used to model a switched reluctance motor which has been modeled previously using conventional finite elements. >
Highly Sensitive Multi-Channel Biosensor for Low-Interference Simultaneous Detection

In this paper, we propose a multi-channel photonic crystal fiber sensor, which adopts dual-polarization and multiple materials to effectively reduce the mutual interference between channels and enhance the surface plasmon resonance, thus achieving simultaneous detection of a multi-channel with low interference. Four channels are polished around the cylindrical fiber, and then different metal films (gold or silver) and plasmonic materials (titanium dioxide, thallium pentoxide, or graphene) are added to the sensing area of each channel. All channels detect refractive indices in the range of 1.34 to 1.42. The sensing performance of the fiber optic sensor was numerically investigated using the full vector finite element method. After the optimization of structural parameters, the maximum wavelength sensitivity of channel-1, channel-2, channel-3, and channel-4 are 49,800 nm/RIU, 49,000 nm/RIU, 35,900 nm/RIU, and 36,800 nm/RIU, respectively. We have theoretically analyzed the sensor’s capabilities for partial bio-detection and simulated its detection capability with a wavelength sensitivity of 11,500 nm/RIU for normal red blood cells and 12,200 nm/RIU for MCF-7 cancerous cells. Our proposed sensor has a novel design, can detect multiple channels simultaneously, has strong anti-interference capability and high sensitivity, and has good sensing characteristics.
Vehicular Communications Over OFDM Radar Sensing in the 77 GHz mmWave Band

Radar detection and vehicle-to-everything (V2X) communication are two advanced driver-assistance system (ADAS) functions used to improve the safety of the road users and their driving experience. However, the proliferation of radars on vehicles and the functionalities expected for V2X cause several issues like interference and insufficient communication flow. To address these challenges and optimize the use of the electromagnetic spectrum, the mutualization of communication and radar detection functions in the same component using millimeter-wave (mmWave) is proposed. As orthogonal frequency-division multiplexing (OFDM) waveform seems to be the most suitable waveform to enable this cooperation, we propose to investigate the performance of OFDM radar compared to that of current frequency-modulated continuous wave (FMCW) radar. We simulate and analyse the signal-to-noise ratio (SNR) and the probability of detection (PD) of OFDM radar based on the parameters of a current mid-range automotive FMCW corner radar. We observe that FMCW radar has better SNR and PD than OFDM radar under these conditions. However, by applying a coherent integration scheme on receive, the results obtained show that good performance of OFDM radar can be achieved. To check the effect of the parameters used on the communication performance, we provide graphs of the Bit Error Rate (BER). These graphs show that the BER do not suffer from these parameters but rather that they can be beneficial to the communication.
DyCause: Crowdsourcing to Diagnose Microservice Kernel Failure

Today many web applications in the cloud (apps) are built based on microservices. However, as the anomaly propagates in a highly dynamic and complex way, troubleshooting them becomes full of challenges. Existing diagnostic methods are mostly designed based on monitoring metrics retrieved from the microservice system kernel. Therefore, application owners and even site reliability engineers (SREs) cannot effectively resort to those methods when the microservice systems lack such a comprehensive monitoring infrastructure. In this article, we develop DyCause, a crowdsourcing solution to the asymmetric diagnostic information problem. Our solution collects the operational status of kernel services collaboratively from the user space and initiates diagnosis on demand. Without the requirement of any architectural or functional infrastructure, it is both fast and lightweight to deploy DyCause in a microservice system. In order to discover the fine-grained dynamic causalities between services during the anomaly, we also design an efficient algorithm based on statistical analysis. Based on this algorithm, we can also analyze the anomaly propagation paths within the microservice system and generate a better interpretable diagnosis. In our evaluation, we test DyCause in a controlled simulation environment and a real-world cloud system. Our results have shown that DyCause has the best accuracy and efficiency among several state-of-the-art methods and is more robust in terms of parameters.
Fractional calculus and non-reflecting boundary conditions in wave propagation

This paper shows why the fractional calculus naturally aris es for modeling the re- flection of linear and nonlinear waves at an interface throug h a boundary operator. The con- struction of such boundary conditions is difficult and requi res the use of advanced mathematical analysis theories related to fractional microlocal calcul us. Moreover, the numerical approxi- mation of such operators is nontrivial and leads to fundamen tal problems of numerical analysis and simulation. Finally, we provide an example of applicati on in computational ocean acous- tics. RESUME. Ce papier montre comment le calcul fractionnaire intervien t de maniere naturelle lorsque l'on essaie de modeliser la non reflexion d'ondes lineaires ou non lineaires par une interface par le biais d'un operateur aux limites. Des quest ions difficiles se posent sur la construction de telles conditions qui fait appel a la theori e de l'analyse microlocale fraction- naire. De plus, l'approximation numerique des operateurs s e trouve etre delicate et conduit a
In vitro thrombolytic activity of Moringa oleifera

Moringa oleifera Lam. (Family Moringaceae) is a medium sized perennial tree, commonly known as drumstick tree, horse raddish tree, miracle tree, sahjan, shobhanjana, munga arak, etc., in different languages. Leaves, flowers and pods of the plant are edible. Various parts of the plant are utilized for treatment of several diseases by ethnic communities, including heart ailments. Leaves and flowers of M. oleifera were assessed for preliminary qualitative phytochemical analysis and in vitro thrombolytic potential. Preliminary phytochemical screening has shown presence of flavonoids, terpenoids, cardiac glycosides, saponins, tannins, amino acids and carbohydrates in leaves and flowers of M. oleifera. Two types of methanolic extracts of both leaves (MEL-I and MEL-II) and flowers (MEF-I and MEF-II) were used for assessment of percent clot lysis. A significant in vitro clot lysis activity of MEL-I (36.64±1.55%), MEL-II (41.40±2.02%) and MEF-I (19.07±2.36%) and MEF-II (20.52±1.51%) was demonstrated in a concentration of one mg/ml as compared to negative control distilled water and positive control streptokinase for the first time. The edible plant's observed thrombolytic potential may be employed to prevent athero-thrombotic cardiovascular diseases. Further investigations are required to isolate the bioactive molecule responsible for the thrombolytic action.
Reconstruction of orientations of a moving protein domain from paramagnetic data

We study the inverse problem of determining the position of the moving C-terminal domain in a metalloprotein from measurements of its mean paramagnetic tensor . The latter can be represented as a finite sum involving the corresponding magnetic susceptibility tensor χ and a finite number of rotations. We obtain an optimal estimate for the maximum probability that the C-terminal domain can assume a given orientation, and we show that only three rotations are required in the representation of , and that in general two are not enough. We also investigate the situation in which a compatible pair of mean paramagnetic tensors is obtained. Under a mild assumption on the corresponding magnetic susceptibility tensors, justified on physical grounds, we again obtain an optimal estimate for the maximum probability that the C-terminal domain can assume a given orientation. Moreover, we prove that only ten rotations are required in the representation of the compatible pair of mean paramagnetic tensors, and that in general three are not enough. The theoretical investigation is concluded by a study of the coaxial case, when all rotations are assumed to have a common axis. Results are obtained via an interesting connection with another inverse problem, the quadratic complex moment problem. Finally, we describe an application to experimental NMR data.
Comment on a recently proposed resampling method

A recently introduced resampling method for determining the contribution of measurement errors to the standard error in bilinear and trilinear model estimates is critically examined. Using Monte Carlo simulations, it is shown that this method does not work as intended. A noise addition method is proposed as a generally applicable alternative. The principles involved in applied work are illustrated on real UV‐vis data taken from the literature. Copyright © 2001 John Wiley & Sons, Ltd.
Non-attention region first initialisation of k-means clustering for saliency detection

According to the nature of saliency map generation with colour contrast, a non-attention region first initialisation (NARFI) k-means clustering for saliency detection is proposed. The NAR is obtained by multiwavelet reconstruction based on the cutoff low-frequency. The initial seeds of the k-means are chosen from the NAR. This way, the NAR is clustered in a fine manner, whereas the attention region is clustered in a coarse manner. As a result, the saliency values of the attention region with the NARFI k-means clustering are more conspicuous than those with the k-means++ clustering.
Payments for outpatient joint replacement surgery: A comparison of hospital outpatient departments and ambulatory surgery centers.

OBJECTIVE To compare commercial insurance payments for outpatient total knee and hip replacement surgeries performed in hospital outpatient departments (HOPDs) and in ambulatory surgery centers (ASCs). DATA SOURCES A large national claims database that contains information on actual prices paid to providers over the period 2014-2017. DATA COLLECTION We identified all patients receiving total knee replacement surgery and total hip replacement surgery in HOPDs and in ASCs for each of the 4 years. STUDY DESIGN For each year, we conducted descriptive and statistical patient-level analyses of the facility component of payments to HOPDs and to ASCs. PRINCIPAL FINDINGS For each procedure and for each year, ASC payments exceeded HOPD payments by a wide margin; however, the gap across settings declined over time. In 2014, knee replacement payments to HOPDs (n = 67) were $6016 compared to $23 244 in ASCs (n = 68). By 2017, payments to HOPDs (n = 223) had grown to $10 060 compared to $18 234 in ASCs (n = 602). Similarly, for hip replacements, HOPD payments (n = 43) rose from $6980 in 2014 to $11 139 in 2017 (n = 206) and in ASCs fell from $28 485 in 2014 (n = 82) to $18 595 in 2017 (n = 465). CONCLUSIONS Results suggest that for total joint replacement, common perceptions of cost savings from transition of services from hospitals to ASCs may be misguided.
The Role of Geoprocessing in Mapping Crime Using Hot Streets

Law enforcement agencies (LEA) have long attempted to determine crime patterns, determinants of crime, and ways to improve security. For several years, LEAs have utilized geographic information systems (GISs) to better understand the spatial nature of crimes and possible spatiotemporal patterns. While previous analyses have yielded spatial clusters of high crime areas (i.e., hot spots), these analyses have lacked specificity at the street level. This research builds on the concept of a hot spot area and creates linear statistically significant spatial crime clusters at the street level, namely hot streets. The identification of hot streets has the potential to assist LEAs in reducing crime through increased patrolling and refocusing efforts at the street level. This study created a GIS-based geoprocessing model to analyze different crime types at varying temporal scales and in different cities (Atlanta, Georgia and Houston, Texas), classifying streets based on four crime cluster confidence levels. The research found that the geoprocessing model successfully streamlined the creation of crime hot streets in the two study areas, led to the development of multi-scale hot street maps, and can be used and edited by anyone who wants to perform linear cluster analysis in other topics.
How Do Users Respond to Mass Vaccination Centers? A Cross-Sectional Study Using Natural Language Processing on Online Reviews to Explore User Experience and Satisfaction with COVID-19 Vaccination Centers

To reach large groups of vaccine recipients, several high-income countries introduced mass vaccination centers for COVID-19. Understanding user experiences of these novel structures can help optimize their design and increase patient satisfaction and vaccine uptake. This study drew on user online reviews of vaccination centers to assess user experience and identify its key determinants over time, by sentiment, and by interaction. Machine learning methods were used to analyze Google reviews of six COVID-19 mass vaccination centers in Berlin from December 2020 to December 2021. 3647 user online reviews were included in the analysis. Of these, 89% (3261/3647) were positive according to user rating (four to five of five stars). A total of 85% (2740/3647) of all reviews contained text. Topic modeling of the reviews containing text identified five optimally latent topics, and keyword extraction identified 47 salient keywords. The most important themes were organization, friendliness/responsiveness, and patient flow/wait time. Key interactions for users of vaccination centers included waiting, scheduling, transit, and the vaccination itself. Keywords connected to scheduling and efficiency, such as “appointment” and “wait”, were most prominent in negative reviews. Over time, the average rating score decreased from 4.7 to 4.1, and waiting and duration became more salient keywords. Overall, mass vaccination centers appear to be positively perceived, yet users became more critical over the one-year period of the pandemic vaccination campaign observed. The study shows that online reviews can provide real-time insights into newly set-up infrastructures, and policymakers should consider their use to monitor the population’s response over time.
Long‐term incidence of dysplasia and colorectal cancer in an ulcerative colitis population‐based cohort

Ulcerative colitis (UC) is a risk factor in developing colorectal cancer (CRC). Surveillance programmes aim to identify premalignant lesions to facilitate improved treatment outcomes. Recent studies have suggested that the risk of CRC in UC has decreased. This study aims to characterize the risk of CRC in UC in a population‐based New Zealand cohort.
How Do Health Care Professionals Perceive a Holistic Care Approach for Geriatric Patients? A Focus Group Study

Background: Geriatric patients require holistic care in order to meet their complex care needs. The project RubiN (Continuous Care in a Regional Network) provides case and care management (CCM) for older people to address these needs in a primary care setting in Germany. This study aimed to explore the experiences of health care professionals who provided CCM for geriatric patients. Methods: Focus group interviews with general practitioners (GPs), health care assistants (HCAs), and case managers (CMs) were conducted. Transcribed data were analyzed by using qualitative content analysis. Results: Ten focus group discussions (n = 15 GPs, n = 14 HCAs, n = 17 CMs) were conducted. The different health care professionals emphasized the importance of a holistic care approach to geriatric care. Moreover, the GPs stated that the CMs supported the patients in organizing their care. A CCM could help encourage patients to remain at their own homes, which would have an effect on patients’ quality of life and satisfaction. Conclusion: A well-functioning and effective cooperation between those health professionals involved is a prerequisite for a trustful relationship in the holistic care of older people. This creates a feeling of security for all people involved in the care process.
Factors that attract and motivate South African employees to work within non-metro business banking sectors

Financial institutions throughout South Africa have faced several challenges over the past decade. One bank, in particular has been highly competitive due largely to the effect of increased quasi-financial organisations in the market. This banking division has been a dominant player in the KwaZulu-Natal region and its presence is especially evident in non-metro areas. Therefore, it is imperative that management and the human resources department identify the pertinent motivating factors which could be incorporated in the formulation of their succession plans. These initiatives could result in existing employees either remaining in or accepting key positions in the KwaZulu-Natal non-metro areas. To identify the factors, a cross-sectional quantitative study was conducted among 125 employees using an online survey. It was found that there was a significant association (p<0.05) between the employment status and certain motivational factors i.e. opportunities to gain experience and job development, career growth prospects and potential promotion and work-life balance. The results suggested that the factors investigated are unlikely to motivate employees from metro areas to take up positions in non-metro areas, whereas in the case of employees in non-metro areas, significant associations can be utilised as motivational factors to take up opportunities in non-metro area.
Tolerability, Safety and Efficacy of a Specific Rehabilitation Treatment Protocol for Axillary Web Syndrome: An Observational Retrospective Study

Simple Summary Axillary web syndrome (AWS) is a common post-surgical sequela of breast cancer (BC) treatment. It determines pain and it limits the upper limb range of motion (ROM), reducing the quality of life of BC survivors. To date, various treatments and combinations of rehabilitative approaches have been proposed, but standardized guidelines are still lacking. The aim of our retrospective study was to assess the safety and tolerability of our specific AWS rehabilitative treatment protocol, and to determine its efficacy in reducing pain and improving upper limb ROM. We found that 60-min rehabilitative sessions composed of manual lymphatic drainage, stretching and mobility exercises, and soft tissue mobilization, performed three times/week until clinical resolution, represents a safe and well-tolerated rehabilitation protocol. Moreover, 98% of the patients reached complete shoulder ROM in flexion and abduction after the treatment, and there was a significant reduction in pain. Abstract Axillary web syndrome (AWS) is a highly prevalent surgical complication affecting BC survivors. It presents as a subcutaneous cording that limits the upper limb range of motion (ROM) and causes pain. Its etiology is still debated, and its treatment is not well defined. Therefore, we aimed to investigate the safety, tolerability and efficacy of our specific AWS rehabilitative treatment protocol. We conducted an observational retrospective study on a cohort of 92 AWS patients referred to the oncological outpatient service of a university hospital. We collected data from medical records before (T0) and after (T1) the treatment. The studied protocol was composed of 60-min sessions, carried out 3 times/week by specialized physiotherapists, until the clinical resolution of AWS. We found that a mean of 8.74 ± 2.12 rehabilitative sessions were needed, and only one patient stopped early. At T1, shoulder ROM was complete in both abduction and flexion in 98% of patients; AWS was no longer detectable in 64% of them, and pain significantly decreased compared to T0. In conclusion, our protocol proved to be safe, well-tolerated and seemed to be effective in treating AWS.
Disk Instability in Wide Neutron Star Low-Mass X-Ray Binaries

Conditions for disk instability in low-mass X-ray binaries (LMXBs) have been recently considered with X-ray irradiation of the disk included. Conservative evolution was generally assumed, which, however, fails in wide LMXBs with a neutron star primary (NLMXBs). If the orbital period of an LMXB is long enough, the mass transfer rate becomes super-Eddington, and the evolution is likely to be nonconservative. Adopting the Eddington limited accretion hypothesis, we have calculated the evolution of NLMXBs driven by nuclear expansion of the secondary, and obtained a modified boundary between persistent and transient behavior in NLMXBs. We briefly discuss the applications to low-mass binary radio pulsars (LMBPs) and suggest a new scenario for the progenitor system of the bursting X-ray pulsar GRO J1744-28.