Miracle-dz/UniFAR-FTUs huggingface dataset:
DMSO_A_350062 943..962

Purpose: Using network pharmacology and molecular docking to explore the mechanism of Yishen Capsule in the treatment of diabetic nephropathy. Materials and Methods: Active components of Yishen Capsule were obtained using database such as TCMSP and TCMID. UniProt protein database was used to screen and standardize the human-derived targets of the active chemical components. Diabetic nephropathy (DN) targets were obtained from databases such as GeneCards, OMIM, TTD, DisGeNET and DrugBank. A network of “Yishen Capsule Components-diabetic nephropathy Targets-Pathways” was constructed by analyzing data above to screening out core targets for molecular docking verification. DN is induced by streptozocin in rats after left nephrectomy. Renal tubular epithelial cells (RTECs) was isolated and cultured under high glucose conditions. Based on these experimental models, key pathway target genes screened by network pharmacology were verified both in vitro and in vivo. Results: The main active components of Yishen Capsule in the treatment of DN include quercetin, kaempferol, gallic acid, astragaloside IV, etc. Some key targets (such as AR, AKT1, TP53, ESR1, JUN) and important signal pathways (such as AGERAGE, HIF-1 and JAK-STAT signal pathway) were included in the treatment of DN with Yishen Capsule. Molecular docking assay showed that most of the targets have good binding activity with the components of Yishen Capsule. Based on the results of network pharmacology, key target proteins in HIF-1α and JAK2/STAT3 signaling pathways were selected for experimental verification. Results presented that HIF-1α, JAK2, STAT3, TGF-β and MCP-1 were increased under high glucose environment. With the treatment of Yishen Capsule, the expression of HIF-1α further increased, while the expression of JAK2, STAT3, MCP-1 and TGF-β was decreased. Conclusion: This study revealed the mechanism of Yishen Capsule in the treatment of DN, which possesses the characteristics of multi-component, multi-target, and multi-pathway. Further experiments confirmed that Yishen Capsule interfered with HIF-1α and JAK/STAT signaling pathways to reduce inflammation and fibrosis damage in the kidney tissue of rats with diabetic nephropathy.
A novel quasi-resonant ZVS boost converter with tapped inductor

The purpose of this paper is to propose a model of a novel quasi-resonant boost converter with a tapped inductor. This converter combines the advantages of zero voltage quasi-resonant techniques and different conduction modes with the possibility of obtaining a high voltage conversion ratio by using a tapped inductor, which results in high converter efficiency and soft switching in the whole output power range. The paper contains an analysis of converter operation, a determination of voltage conversion ratio and the maximum voltage across power semiconductor switches as well as a discussion of control methods in discontinuous, critical, and continuous conduction modes. In order to verify the novelty of the proposed converter, a laboratory prototype of 300 W power was built. The highest efficiency η = 94.7% was mea sured with the output power P o = 260 W and the input voltage V in = 50 V. The lowest efficiency of 90.7% was obtained for the input voltage V in = 30 V and the output power P o = 75 W. The model was tested at input voltages (30–50) V, output voltage 380 V and maximum switching frequency 100 kHz.
SIMULATION MODEL SIMPLIFICATION FOR CHANGING PRODUCT MIX SCENARIO

Infineon Technologies Dresden has long used simplified simulation models to optimize production planning. However, the simplification is based on the gut feeling of experts who do not have time to analyze the various concepts in detail. In this paper, a detailed analysis of the simulation model simplification by substituting operations for constant delays was performed under conditions close to the real world. A statistical model was developed to calculate the delay values. The simplification results based on the statistical model are compared with the results based on the detailed model. The experiments were carried out based on the MIMAC dataset 5 model.
Ensuring a successful transition from Pap to HPV-based primary screening in Canada: a study protocol to investigate the psychosocial correlates of women's screening intentions

Introduction The Human Papillomavirus (HPV) test has emerged as a significant improvement over cytology for primary cervical cancer screening. In Canada, provinces and territories are moving towards implementing HPV testing in cervical cancer screening programs. While an abundance of research exists on the benefits of HPV-based screening, there is a dearth of research examining women's understanding of HPV testing. In other countries, failure to adequately address women's concerns about changes has disrupted implementation of HPV-based screening. This study protocol describes a multi-step approach to develop psychometrically valid measures and to investigate psychosocial correlates of women's intentions to participate in HPV-based cervical cancer screening. Materials and Methods We conducted a web-based survey of Canadian women to assess the acceptability and feasibility of a questionnaire, including validation of scales examining: cervical cancer knowledge, HPV testing knowledge, HPV testing attitudes and beliefs, and HPV test self-sampling attitudes and beliefs. Preferences for cervical cancer screening were assessed using Best-Worst Scaling methodology. A second web-based survey will be administered to a national sample of Canadian women in June-July of 2022 using the validated scales. Differences in the knowledge, attitudes, beliefs, and preferences of women who are currently either underscreened or adequately screened for cervical cancer will be examined through bivariate analyses. Multinomial logistic regression will be used to estimate the associations between psychosocial and sociodemographic factors and intentions to screen using HPV-based screening. Study Impact and Dissemination Findings will provide direction for Canadian public health authorities to align guidelines to address women's concerns and optimize acceptability and uptake of HPV-based primary screening. Validated scales can be used by other researchers to improve and standardize measurement of psychosocial factors impacting HPV test acceptability. Study results will be disseminated through peer-reviewed journal articles, conference presentations, and direct communication with researchers, clinicians, policymakers, media, and specialty organizations.
Replay as a basis for backpropagation through time in the brain

How episodic memories are formed in the brain is an outstanding puzzle for the neuroscience community. The brain areas that are critical for episodic learning (e.g., the hippocampus) are characterized by recurrent connectivity and generate frequent offline replay events. The function of the replay events is a subject of active debate. Recurrent connectivity, computational simulations show, enables sequence learning when combined with a suitable learning algorithm such as Backpropagation through time (BPTT). BPTT, however, is not biologically plausible. We describe here, for the first time, a biologically plausible variant of BPTT in a reversible recurrent neural network, R2N2, that critically leverages offline-replay to support episodic learning. The model uses forwards and backwards offline replay to transfer information between two recurrent neural networks, a cache and a consolidator,that perform rapid one-shot learning and statistical learning, respectively. Un-like replay in standard BPTT, this architecture requires no artificial external memory store. This architecture and approach outperform existing solutions and account for the functional significance to hippocampal replay events. We demonstrate the R2N2 network properties using benchmark tests from computer science and simulate the rodent delayed alternation T-maze task.
Low‐Voltage‐Ride‐Through Performance of an HVDC Transmission System Using Two Modular Multilevel Double‐Star Chopper‐Cells Converters

This paper presents an intensive discussion on a long‐distance high‐voltage direct‐current (HVDC) transmission system that combines two modular multilevel cascade converters based on double‐star chopper cells (MMCC‐DSCC) with DC power cables. Hereinafter, a single MMCC‐DSCC is referred to as a DSCC converter or just as a DSCC for the sake of simplicity. The HVDC transmission system is required to provide low‐voltage‐ride‐through (LVRT) capability to enhance transmission system availability. This paper proposes a new LVRT method without any direct information exchange between the two DSCC converters. The validity of the method is verified, using simulated waveforms from the software package of “PSCAD/EMTDC” and experimental waveforms from a three‐phase 200‐V, 400‐Vdc, 10‐kW, 50‐Hz downscaled HVDC system with a set of 300‐meter‐long DC power cables.
HOUSEHOLD FOOD SECURITY AND COPING STRATEGIES DURING COVID-19 PANDEMIC

Food security is one of the crucial areas of global concerns, especially during the COVID-19 pandemic. When the World Health Organisation (WHO) declared COVID-19 as a pandemic, a number of countries, including Malaysia, started to impose a generalised quarantine or lockdown as a measure to curb the spread of the disease. The key aspect of this measure is the restricted movement of people, goods and transportation. As a result, food supply and consequently, food security became embroiled in the mix. Questions such as will we be able to get the food supply during the pandemic, will there be enough food for everyone, and how will we cope in ensuring household food security were asked. Thus, the aim of this paper is to explore the issues of household food security and the short-term coping strategies during the COVID-19 pandemic, specifically focusing on the views of respondents from Sarawak, Malaysia. Findings and discussion in this paper are based on data that was collected online from 235 respondents from all over Sarawak, Malaysia. It is found that availability of food is not really an issue but the challenges of food security during the COVID-19 pandemic are more focused on access to their preferred food and the choices of food that are available. A number of coping strategies has also been identified, such as getting food from alternative sources like online shopping, home vegetable gardens and preservation and storing of surplus food to make them last longer. These measures are not considered as severe.
Mental Health Problems in Renal Nurses During Novel Coronavirus Disease of 2019 Pandemic Koronavirüs Hastalığı-2019 Pandemisinde Diyaliz Hemşirelerinin Ruh Sağlığı Sorunları

Objective: The most important factor in facing the pandemic is to ensure the physical and mental health status of the healthcare workers. Studies have found serious stressors experienced by the hemodialysis incharge-nurses but report less burnout than the other nurses. Determining the mental distress of the hemodialysis incharge-nurses during the pandemic is important in determining the necessary precautions. The objective of this study is to determine the psychological complaints of the hemodialysis incharge-nurses during the pandemic. Methods: The participants of the study are hemodialysis incharge-nurses who work in different provinces of Turkey. The data of the study were collected from April to June 2020. Beck Anxiety Inventory was used to measure the frequency of anxiety symptoms experienced by the individuals. Beck Depression Inventory was used to measure the behavioral manifestations of depression. Maslach Burnout Inventory was used to measure burnout in the workplace. The Perceived Trauma Coping Scale was used to evaluate the perception of coping-up with a traumatic life. Results: In our study, we found Beck Anxiety Inventory mean score was 13.42±11.28, Beck Depression Inventory mean score was 11.88±9.57, Maslach emotional exhaustion mean score was 15.74±8.19, Maslach depersonalization mean score was 4.96±3.70, and Maslach personal failure mean score was 8.95±4.50, respectively. Finally, the mean Perceived Trauma Coping Scale trauma score was 63.05±12.78, the mean Perceived Trauma Coping Scale future score was 36.34±8.65, and the mean Perceived Trauma Coping Scale elasticity score was 71.94±17.67, respectively. Conclusion: The findings of the study show the importance of the improvements to be made in reducing the depression and burnout levels of the nurses.
Characterization of Individuals With Bile Acid Malabsorption

Citation for published version (APA): Kårhus, M. L. , Sonne, D. P., Thomasen, M. , Ellegaard, A-M. , Holst, J. J., Rehfeld, J. F. , Chávez-Talavera, O. , Tailleux, A. , Staels, B. , Nielsen, D. S. , Dragsted, L. O. , Vilsbøll, T. , Brønden, A. , & Knop, F. K. (2022). Enterohepatic, gluco-metabolic, and gut microbial characterization of individuals with bile acid malabsorption. Gastro Hep Advances, 1(3), 299-312. https://doi.org/10.1016/j.gastha. 2021.12. 007
CLINICAL CHARACTERISTICS OF PATIENTS WITH VARIOUS GENETIC TYPES OF LONG QT SYNDROME S.M.Komissarova1, N.N.Chakova2, E.S.Rebeko1, T.V.Dolmatovich2, S.S.Niyazova2

The aim of the study is to evaluate clinical characteristics, including adverse events and outcomes, in patients with various genetic types of long QT syndrome (LQTS). Material and methods. We examined 24 patients with a clinical diagnosis of LQTS, observed in the for 5 years. The clinical and instrumental study included registration of electrocardiography (ECG), Holter monitoring, collection of a genealogical history with an ECG assessment of all family members and identification of cases of sudden cardiac death (SCD) in the family or the presence of a family form of the disease, echocardiography and cardiac magnetic resonance imaging to exclude structural changes in the myocardium. The search for mutations in the coding sequences of genes associated with the development of channelopathy and other hereditary heart rhythm disorders was carried out by next generation sequencing (NGS). Results. Mutations in 4 genes associated with LQTS (KCNQ1, KCNH2, CACNA1C, ANK2) were detected in 18 out of 24 (75.0%) patients. Mutations in the KCNQ1, KCNH2 and CACNA1C genes were detected in 14 (58.0%) patients. In 4 out of 24 (17%) patients, two or more variants of clinical significance (VUS) were detected in the genes associated with LQTS and hereditary arrhythmias, 6 patients had no genetic changes. The most severe form of the disease with pronounced clinical manifestations and episodes of clinical death with subsequent resuscitation measures, as well as a significant increase in the QTc interval exceeding 500 ms, was observed in patients with LQT2 and multiple mutations. Implantation of a cardioverter-defibrillator (CD) was required in 14 (58.3%) patients, including 11 (78.56%) for secondary prevention of SCD and 3 (21.4%) for primary prevention. Conclusion. A comparative analysis between different genetic types of LQTS (LQT1; LQT2; patients with multiple VUS) showed that in patients with LQT1 syndrome, despite the early manifestation of the disease and the presence of syncopal conditions, life-threatening arrhythmias, SCD and the frequency of CD implantation were significantly less often recorded than in other LQTS. The most severe form of the disease with pronounced clinical manifestations, episodes of clinical death with subsequent resuscitation and CD implantation was observed both in the group of probands with LQT2 and in patients with several nucleotide variants (VUS), one of which was in the CACNA1C or ANK2 genes.
An edge enabled replication kernel for CRDTs

Distributed storage systems are essential in supporting large-scale on-line services. The design of these systems has evolved in order to improve latency and availability, so that they can provide users with the best possible experience. Several new storage systems have surfaced that make the most of sophisticated replication techniques and weaker consistency models, with the purpose of fulﬁlling users’ expectations. Even though these solutions e ﬀ ectively improve latency and availability, they tend to resort to simplistic conﬂict resolution policies (e.g., last-writer-wins), making them inadequate for some applications. Conﬂict-free Replicated Data Types (CRDTs) were created to allow replicas to apply operations concurrently without any coordination, offering elaborate concurrency semantics for many data types that can be used to conﬁgure conﬂict resolution policies adapted to the needs of di ﬀ erent applications. While some recent systems use CRDTs for conﬂict resolution, they either fail to take advantage of genuine partial replication, or they do so on the client-side, thus overwhelming resource-limited client devices by making them store partial replicas of the database and perform an excessive amount of computations. In this work, we propose a novel CRDT replication kernel that simpliﬁes the task of leveraging on genuine partial replication, o ﬀ ers causal+ consistency guarantees, and provides e ﬃ cient synchronization mechanisms built on top of CRDTs to o ﬀ er conﬁgurable conﬂict resolution policies. Furthermore, we aim to develop this replication kernel with the edge computing paradigm in mind, so as to improve client perceived latency while exploiting data locality. Finally, we plan to experimentally evaluate the replication kernel by implementing a simple storage system prototype and demonstrating its applicability under speciﬁc circumstances.
Dynamic behavior of PMMA under planar shock conditions

As a non-metallic low wave impedance material, PMMA has been widely used in experiments of blast and shock. But the dynamic performances of different kinds of PMMA vary greatly. In this paper, the plane shock-wave experiments were performed with a 57 mm bore single-stage light gas gun in order to determine the dynamic behavior of PMMA at stress levels between 0.4 and 3.8 GPa. The particle velocity and shock wave velocity were measured with electromagnetic particle velocity sensors embedded into the samples directly, and the velocity of the flyer was measured with a laser velocity measuring system. The typical wave forms of particle velocity and the Hugoniot data of the experiments were presented in this paper. The dynamic stress–strain relations of experiments at different pressure ranges were obtained by the Lagrangian analysis method based on one dimensional strain, and the loading and unloading characteristics of which were discussed.
Increasing energy efficiency of counter-rotating wind turbines by experimental modelling

With the significant advance in exploiting wind energy, there has been a shift in research from the study of conventional systems to the study of counter-rotating systems due to additional energy input of the second rotor. The paper presents the results of the research on achieving an increase in the energy efficiency of counter-rotating wind power conversion systems. For this purpose, there have been designed different sizes of wind rotors, were 3D printed and tested in an open-circuit aerodynamic tunnel for different wind velocities and axial distances between rotors. The constructive design consisting of a smaller diameter front rotor and a larger rear rotor was chosen. The individual wind rotors were used to configure two experimental models of counter-rotating wind systems. The testing results analysis and interpretation enabled the establishing of the design and operating conditions that provide the highest power extracted from wind at 10 m/s velocity. A higher efficiency of the wind turbine system is achieved for a lower ratio between the front and rear turbines. In the case of the analysed experimental models, an increase in system efficiency of 49.14% is achieved for a 0.845 diameter ratio, and of 39.02% for 0.945 diameter ratio, respectively.
Experimental results regarding the strains and stresses appeared around some lifting ears from a cylinder used in the petrochemical industry

During transporting or raising processes any equipment used in petrochemical industry needs some special ears to be easy and safety manipulated. In the paper are presented some experimental results measured around some lifting ears welded on a cylinder. A special experimental device has been manufactured to complete the experiments. The acquisition data have been registered with a modern Quantum system equipped with a Catman Easy software.
Data Flow in Wireless Sensor Network Protocol Stack by Using Bellman-Ford Routing Algorithm

Wireless sensor network consists various sensor nodes that are used to monitor any target area like forest fire detection by our army person and monitoring any industrial activity by industry manager. Wireless sensor networks have been deployed in several cities to monitor the concentration of dangerous gases for citizens. In wireless sensor network when sensor nodes communicate from each other then routing protocol are used for communication between protocol layers. Wireless sensor network protocol stack consist five layers such as Application layer, Transport layer, Network layer, MAC Layer, Physical layer. In this paper we study and analysis Bellman-Ford routing algorithm and check the flow of data between these protocol layers. For simulation purpose we are using Qualnet 5.0. 2 simulator tool.
Personalized Route Planning with Recharging for Electric Vehicles

This article studies the problem of route planning for electric vehicles (EVs) in a road network. Route planning is often performed with interest in the fastest path. However, some constraints for computing the fastest path for an EV are different from the constraints involved in route planning for conventional vehicles. For example, recharging of an EV is more time consuming than refueling a conventional vehicle. Furthermore, the pricing for recharging EVs follows different standards than the pricing for conventional vehicles. This article suggests an approach to balance travel time with price for EV route planning. This is done by taking a user-specified preference function for travel time and price as input, while taking charging and recuperation into account. The path, which, according to the preference function, is the most optimal, is returned. The work presented in this article is an extension of our previous work, which considered almost the same problem. Even though the problems are slightly different, the solution is reused in this article. Two different query algorithms are proposed, along with the previous solution, to solve the problem of returning the optimal path according to a preference function. The first query algorithm presented makes no use of precomputation and serves as a baseline. The second query algorithm uses a precomputation technique to speed up the queries. All three query algorithms use the principles of Dijkstra’s algorithm, which is modified to compute the optimal path given a preference function. Additionally, we propose two optimization techniques to speed up the queries, namely optimal substructure and A* search. At last, we perform experiments on real world data to evaluate the proposed algorithms in terms of the precomputed graph sizes and running time of the query algorithms. The experiments show that the proposed query algorithms are practical in terms of running time for smaller graphs. Additionally, the query algorithms, which make use of preprocessing, is magnitudes faster than the baseline query algorithm, which does not make use of preprocessing.
RMIT at TREC 2021 Fair Ranking Track

This report describes the data, the assumptions, methodology, and our results involved in the participation at the TREC 2021 Fair Ranking Track. While most of the fairness-aware re-ranking techniques require explicitly defining protected attributes, we tried to leverage the implicit features of the Wikimedia articles by using an implicit diversification technique to study the impact of diversification on a fair ranking problem