Miracle-dz/UniFAR-FTUs huggingface dataset:
A significant effect on flow analysis & simulation study of improve design hydraulic pump

Hydraulic ram pump is device that can lift water to the higher position without use of external energy. Several ways have been tested to decrease the water waste rate to maximize efficiency. The purpose of this research work is to develop a new design of hydraulic pump and conduct simulation study to justify improvement of the design. Major addition on making threaded waste valve system in order to control the opening and closing of the valve. At the same time reduce time taken for creating enough momentum and hammering effect. The results revealed that with the advancement of the proposed well improve designs, the water losses at waste valve reducing about 20-30% compare to existing design across the mass flow rate of 0.10 kg/s.The min/max velocity and pressure along the pipeline also has been increase for both open and closed condition.
The Charging Network Experience - Factors affecting the user experience of the electric vehicle public charging network in Sweden

The electric vehicle public charging network has been suggested as a major challenge hampering the further adoption of electric vehicles. Little research have applied a user perspective when investigating the charging network, and there is a knowledge gap concerning what affects the charging network experience of electric vehicle drivers. The area of research was limited to include electric vehicle owners, charging point operators and e- mobility service providers. A research model consisting of eight factors derived from previous literature was developed. Through a qualitative research semi-structured interviews were conducted with six electric vehicle users of varying age, sex and experience. Based on the arguments and opinions of interviewees, the factors were separated into those affecting the charging network experience the most, and those affecting it the least. The factors suggested to be affecting the charging network experience the least are: charging time, charging point location, network changes and locating charging points. The factors suggested to be affecting it the most are: charging point density, charging point access, network diversity and payment solutions. This research has contributed with a research model of factors affecting the charging network experience of electric vehicle drivers and applied a user perspective on the public charging network. (Less)
Disentangling dyskinesia from parkinsonism in motor structures of patients with schizophrenia

Abstract Patients with schizophrenia frequently suffer from motor abnormalities, but underlying alterations in neuroarchitecture remain unclear. Here, we aimed to disentangle dyskinesia from parkinsonism in motor structures of patients with schizophrenia and to assess associated molecular architecture. We measured grey matter of motor regions and correlated volumetric estimates with dyskinesia and parkinsonism severity. Associations with molecular architecture were identified by cross-modal spatial correlations between ensuing maps of abnormality-related volume alterations and neurotransmitter maps from healthy populations. Both phenomena were linked to (specific) striatal and basal forebrain reductions as well as to D1 receptor density. Dyskinesia also manifested in cerebellar decrease, while parkinsonism was associated with less motor cortex volume. The parkinsonism-related brain pattern was additionally associated with 5-HT1A/2A and µ-opioid receptors distribution. Findings suggest the need to develop psychopharmacological compounds that display not only selectivity for receptor subtypes but also anatomical selectivity for alleviating dyskinesia without worsening parkinsonism and vice versa.
Effectiveness and Advancements of Heritage Revitalizations on Community Planning: Case Studies in Hong Kong

This research paper assesses the effectiveness of conducting heritage revitalization projects on improving community planning and identifies the advancements and revitalization trends of heritage revitalization in Hong Kong. The study proposes three indicators to judge the effectiveness of heritage revitalization, including attractive appearance and components, creative methods of building techniques and planning, and public acceptance. A case study is adopted to analyze the shortcomings and improvements of the effectiveness of heritage revitalization, along with a comprehensive literature review and statistics related to heritage revitalization in Hong Kong. The results indicated that revitalization is able to effectively modify the outlook of the community and even improve community planning in the future in terms of transportation services, supporting facilities, and living quality. Moreover, by considering the revitalized structure, modern elements and building rehabilitation strategies were included to increase its attractiveness to become emerging tourism spots for business activities. Heritage revitalization practices have been carried out in Hong Kong in the recent decade. The study embarks to identify and analyze the advancements of revitalization development and its revitalizing style reformation by means of the cases recently completed in Hong Kong, which brings insights to academics and policy makers of revitalization in community planning.
Investigating the use of zinc production wastes as filler in asphalt mixtures

This study aimed to evaluate different types of zinc production wastes for using as filler in asphalt mixtures. Four different types of waste, namely, leach cake, nickel cake, cobalt cake and zinc ash have been chosen along with limestone powder as the control filler for evaluation. Elemental analysis of the fillers, the rheological properties of the mastics and some mechanical properties of the mixtures using Marshall and indirect tensile strength (ITS) tests and their environmental effects using Toxicity Characteristic Leaching Procedure (TCLP) and Synthetic Precipitation Leaching Procedure (SPLP) tests have been investigated. Results show that, except the nickel cake, for which the cadmium concentration exceeds the legal limit, rest of the fillers can be used as filler in asphalt concrete. The zinc ash filler results in much better performance than the other fillers. Leach and cobalt cake are found to be hydrophilic with low resistance against moisture damage.
A New Method for Detecting Onset and Offset for Singing in Real-Time and Offline Environments

This paper introduces a new method for detecting onsets, offsets, and transitions of the notes in real-time solo singing performances. It identifies the onsets and offsets by finding the transitions from one note to another by considering trajectory changes in the fundamental frequencies. The accuracy of our approach is compared with eight well-known algorithms. It was tested with two datasets that contained 130 files of singing. The total duration of the datasets was more than seven hours and had more than 41,000 onset annotations. The analysis metrics used include the Average, the F-Measure Score, and ANOVA. The proposed algorithm was observed to determine onsets and offsets more accurately than the other algorithms. Additionally, unlike the other algorithms, the proposed algorithm can detect the transitions between notes.
Electronic Structure and External Electric Field Modulation of Polyethylene/Graphene Interface

Polymer nanocomposites can serve as promising electrostatic shielding materials; however, the underlying physical mechanisms governing the carrier transport properties between nanofillers and polymers remain unclear. Herein, the structural and electronic properties of two polyethylene/graphene (PE/G) interfaces, i.e., type-H and type-A, have been systematically investigated under different electric fields using first principle calculations. The results testify that the bandgaps of 128.6 and 67.8 meV are opened at the Dirac point for type-H and type-A PE/G interfaces, respectively, accompanied by an electron-rich area around the graphene layer, and a hole-rich area around the PE layer. Moreover, the Fermi level shifts towards the valence band maximum (VBM) of the PE layer, forming a p-type Schottky contact at the interface. Upon application of an electric field perpendicular to the PE/G interface, the Schottky contact can be transformed into an Ohmic contact via the tuning of the Schottky barrier height (SBH) of the PE/G interface. Compared with the A-type PE/G interfaces, the H-type requires a lower electric field to induce an Ohmic contact. All these results can provide deeper insights into the conduction mechanism of graphene-based polymer composites as field-shielding materials.
Effects of the Conjugate Heat Transfer and Heat Flux Strength on the Thermal Characteristics of Impinging Jets

A numerical study using the conjugate heat transfer approach has been performed to investigate the effects of boundary heat flux, conduction effect, and working fluid on the thermal characteristics due to the jet impingement process. Air and water are used in this study as working fluids. For the water jet, the volume of fluid method is used to capture and track the interface in the multiphase flow. It is found that the wall conduction may change the fluid-solid interfacial thermal characteristics compared with no conduction or pure convection process. The amount of influence depends on the working fluid, nozzle size, metal thermal conductivity, metal thickness, and boundary heat flux. The conduction inside the solid wall tends to reorganize the uniform heat flux distribution at the boundary to a non-uniform heat flux distribution at the fluid-solid interface. This is mainly attributed to the conjugate effect of the solid. For a given jet Reynolds number and boundary heat flux, the conjugate heat transfer results divulge that the convective heat flux removed from the stagnation point is higher for the air jet than for the water jet. Contrary to the air jet, the effect of thermal boundary on the stagnation Nusselt number profile is negligible for the water jet. The disc material and thickness have no obvious effect on the stagnation Nusselt number profile for both air and water fluids.
Anomaly Detection of Dam Monitoring Data based on Improved Spectral Clustering

In response to the abnormal data mining in dam safety monitoring, and based on the traditional spectral clustering, this paper presents an anomaly detection method based on improved spectral clustering. This method applies a distance and density adaptive similarity measure. The natural eigenvalue is introduced to adaptively select the neighbors of data points, and the similarity is redefined to be combined with the natural k-nearest neighbor. Furthermore, the shared neighbor is introduced to adjust the similarity between the monitoring data samples according to the regional density. Moreover, considering the distribution of dam monitoring data, the initialization of clustering centers is optimized according to both the density and distance feature. This method can prevent the algorithm from local optimum, better adapt to the density of non-convex dataset, reduce the number of iterations, and enhance the efficiencies of clustering and anomaly detection. Taking the dam slab monitoring data as the research object, experimental datasets are formed. Experiments on these datasets further verify that the method of this paper can effectively adapt to discrete distribution datasets and is superior to the classical spectral clustering method in both clustering and anomaly detection.
A Novel Discrimination Structure for Assessing Text Semantic Similarity

Discrimination of semantic textual similarity refers to comparing the similarity between two or more entities (including words, short texts and documents) through certain strategies to obtain a specific quantitative similarity value. Traditional research put more experience into the similarity calculation of the original text content, using the matching degree or distance of characters or words as the yardstick to judge whether the text pairs are similar. However, there are still some problems to be solved in the following aspects: the key points of sentence meaning and word semantics, which play important role in the semantic expression of natural language, are not well integrated into the similarity discrimination, and the interactive features between texts are not fully utilized. To solve the above problems, this paper proposes a novel discrimination structure based on the Siamese Network model and the idea of text matching. In this structure, we introduce sentence meaning key information and word semantic information to realize the extraction of word interaction feature information, and then we realize the text vector representation by using Siamese BiLSTM. The experimental results showed that the accuracy of the proposed model is higher than that of the basic models.
The impacts of digital transformation on data-based ethical decision-making and environmental performance in Vietnamese manufacturing firms: The moderating role of organizational mindfulness

Abstract Using the contingency theory of decision-making and a natural-resources-based view (NRBV) of the firm, we developed and tested a moderated mediation model examining (1) the impact of digital transformation on environmental performance (EP) via the mediating mechanism of data-based ethical decision-making (DEDM) and (2) the moderating role of organizational mindfulness in the effect of digital transformation on DEDM. The results of an analysis of 466 Vietnamese manufacturing firms indicate that DEDM mediates the impact of digital transformation on environmental performance. Moreover, the positive relationship between digital transformation and DEDM grows stronger as an organization’s mindfulness level increases. The findings contribute to a more nuanced understanding of how digital transformation and organizational mindfulness play a vital role in environmental management practices.
In Silico Target Identification of Galangin, as an Herbal Flavonoid against Cholangiocarcinoma

Cholangiocarcinoma (CCA) is a heterogenous group of malignancies in the bile duct, which proliferates aggressively. CCA is highly prevalent in Northeastern Thailand wherein it is associated with liver fluke infection, or Opisthorchis viverrini (OV). Most patients are diagnosed in advanced stages, when the cancer has metastasized or severely progressed, thereby limiting treatment options. Several studies investigate the effect of traditional Thai medicinal plants that may be potential therapeutic options in combating CCA. Galangin is one such herbal flavonoid that has medicinal properties and exhibits anti-tumor properties in various cancers. In this study, we investigate the role of Galangin in inhibiting cell proliferation, invasion, and migration in OV-infected CCA cell lines. We discovered that Galangin reduced cell viability and colony formation by inducing apoptosis in CCA cell lines in a dose-dependent manner. Further, Galangin also effectively inhibited invasion and migration in OV-infected CCA cells by reduction of MMP2 and MMP9 enzymatic activity. Additionally, using proteomics, we identified proteins affected post-treatment with Galangin. Enrichment analysis revealed that several kinase pathways were affected by Galangin, and the signature corroborated with that of small molecule kinase inhibitors. Hence, we identified putative targets of Galangin using an in silico approach which highlighted c-Met as candidate target. Galangin effectively inhibited c-Met phosphorylation and subsequent signaling in in vitro CCA cells. In addition, Galangin was able to inhibit HGF, a mediator of c-Met signaling, by suppressing HGF-stimulated invasion, as well as migration and MMP9 activity. This shows that Galangin can be a useful anti-metastatic therapeutic strategy in a subtype of CCA patients.
Quantitative Assessment of Climate Change Impact and Anthropogenic Influence on Crop Production and Food Security in Shandong, Eastern China

Food security plays an important role in maintaining national stability and sustainable development of human society, and its research has become a hot issue at present. Shandong is the main grain producing area in China, and its grain production plays an important role in national food security. Accordingly, this paper is based on the county climate change, grain yield, sown area, fertilizer use, total power of rural machinery, and total population data in Shandong Province from 1995 to 2020. The evolution process of the food security pattern was studied by the methods of spatial analysis and comprehensive evaluation, the influencing factors of food security were quantitatively analyzed, and the adaptive countermeasures to alleviate the food security risks in this region were discussed. The results show that: Grain production increased by 30.62% from 1995 to 2020. The total population and per capita food availability also increased. Since 2000, more than a quarter of counties have experienced a high risk of food insecurity. The spatial agglomeration of grain production was enhanced, and the local agglomeration characteristics were significantly different. The average temperature in the growing season, the sown area, and the total power of agricultural machinery had a significant positive impact on grain production, while the annual average temperature had a significant negative impact on grain production. Improving the food supply system, strengthening the protection of cultivated land, improving the efficiency of fertilizer utilization, and increasing investment in agricultural science and technology can effectively alleviate food security risks.
A 90.7% 4-W 3P4S Hybrid Switching Converter Using Adaptive VCF Rebalancing Technique and Switching Node Dual-Edge tdead Modulation for Extreme 48V/1V Direct DC-DC Conversion

This paper reports a 3-path 4-state (3P4S) hybrid switching converter for extreme 48V/1V direct power conversion. Compared to classic half-bridge topology, the 3P4S topology extends on-time TON by 9 times with 67% RMS current reduction. It also employs the fewest conducting switches in every discharge path and allows lower voltage rating and faster switches than the peers, facilitating high fsw operation, high efficiency, small power passives and low chip area. To prevent over-voltage stress and thermal breakdowns, an adaptive VCF rebalancing technique is introduced to reduce the VCF1 and VCF2 imbalance errors by 57.1% and 65.1%, respectively. To enable zero-voltage switching (ZVS) for high efficiency, a dual-edge tdead modulation is implemented at key switching nodes. The converter was fabricated in a 180nm HV BCD process, with an active area of 3.3mm2. It delivers 4W power with a peak efficiency of 90.7% and an effective fSW of 4.5MHz.
Evaluation of Bioactive Compounds and Antioxidative Activity of Fermented Green Tea Produced via One- and Two-Step Fermentation

This study investigated the influence of one- and two-step fermentation on bioactive compound production in fermented green tea, i.e., one-step fermented green tea (OFG) and two-step fermented green tea (TFG). One-step fermentation entailed acetic acid fermentation, while two-step fermentation consisted of lactic acid fermentation followed by acetic acid fermentation. Acetobacter pasteurianus PCH 325, isolated from an over-ripened peach, was selected for acetic acid fermentation based on its growth and organic acid production characteristics. Acetic acid fermentation conditions were optimized for one- and two-step fermentation: 3% fermentation alcohol for both processes; 8% and 4% sucrose, respectively; and fermentation at 25 °C for both processes. For lactic acid fermentation of TFG, the inoculum and optimized conditions reported previously were used. Under the optimized conditions, the acetic acid content in OFG and TFG increased 21.20- and 29.51-fold, respectively. Furthermore, through two-step fermentation, γ-aminobutyric acid and lactic acid were produced up to 31.49 ± 1.17 mg/L and 243.44 ± 58.15 mg/L, respectively, which together with acetic acid could contribute to the higher DPPH scavenging activity of TFG. This study suggests that two-step fermentation may be a valuable strategy in industry for raising the amount of acetic acid and/or providing additional bioactive compounds.
Evaluation of a Dietary Grape Extract on Oxidative Status, Intestinal Morphology, Plasma Acute-Phase Proteins and Inflammation Parameters of Weaning Piglets at Various Points of Time

Reports of the underlying mechanisms of dietary grape extract (GE) in overcoming weaning challenges in piglets have been partly inconsistent. Furthermore, evaluations of the effects of GE at weaning in comparison to those of widely used therapeutic antibiotics have been scarce. To explore the mode of action of GE in selected tissues and plasma, we evaluated gut morphology, antioxidant and inflammation indices. Accordingly, 180 weaning piglets were allocated to three treatment groups: negative control (NC), NC and antibiotic treatment for the first 5 days of the trial (positive control, PC), and NC and GE (entire trial). The villus surface was positively affected by GE and PC on day 27/28 of the trial in the jejunum and on day 55/56 of the trial in the ileum. In the colon, NC tended (p < 0.10) to increase crypt parameters compared to PC on day 55/56. The PC group tended (p < 0.10) to increase catalase activity in the ileum and decrease Cu/Zn-SOD activity in the jejunum, both compared to NC. There were no additional effects on antioxidant measurements of tissue and plasma, tissue gene expression, or plasma acute-phase proteins. In conclusion, GE supplementation beneficially affected the villus surface of the small intestine. However, these changes were not linked to the antioxidant and anti-inflammatory properties of GE.
A Hierarchical Structural Model Of Information Systems Success

AbstractThe evaluation of successful systems assists in obtaining those properties, which should be emphasized, and others, which need to be corrected. Investigations regarding the structure of systems success will be of increasing importance in the future as organizations seek to maximize the benefits of new systems in an increasingly competitive world.The properties of successful systems have been the focus of investigations since the earliest systems implementations. Diverse approaches have been used to examine and measure success. In consolidating these past studies, Delone and McLean in 1992 proposed a generic structure. Subsequent research has provided progressive modifications.This paper extends the success structure of information systems (IS). A hierarchical structural model is introduced based on the premise that the behavior of successful systems is influenced by a universe of properties common to all successful systems, and by a unique set of properties specific to each class of systems. The e.