Miracle-dz/UniFAR-FTUs huggingface dataset:
Traditional East Asian Herbal Medicine Treatment for Alzheimer’s Disease: A Systematic Review and Meta-Analysis

Alzheimer’s disease (AD) is a leading progressive neurodegenerative disease worldwide, and its treatment is a challenging clinical problem. This review was conducted to evaluate the efficacy and safety of herbal medicine for AD treatment. The PubMed, CENTRAL, EMBASE, CNKI, OASIS, KTKP, and CiNii databases were searched until June 2020 for randomized controlled trials (RCTs) on herbal medicine for AD, and a meta-analysis of 57 RCTs was conducted. For cognitive function, herbal medicine significantly improved the Mini-Mental State Examination (MMSE) and AD Assessment Scale-Cognitive Subscale (ADAS-cog) scores compared with conventional medicine. The MMSE scores showed no significant difference between the groups treated with herbal medicine and donepezil; however, herbal medicine significantly lowered the ADAS-cog score. Acori Graminei Rhizoma-containing and Cnidii Rhizoma-containing herbal medicine significantly improved the MMSE and ADAS-cog scores compared with conventional medicine. Ginseng Radix-containing herbal medicine showed a positive, but not statistically significant, tendency toward improving the MMSE score compared with conventional medicine. Herbal medicine with conventional medicine significantly improved the MMSE, ADAS-cog, and Montreal Cognitive Assessment (MoCA) scores compared with conventional medicine, and herbal medicine with donepezil also significantly improved these scores compared with donepezil. Acori Graminei Rhizoma or Cnidii Rhizoma-containing herbal medicine with conventional medicine significantly improved the MMSE and ADAS-cog scores compared with conventional medicine. Ginseng Radix-containing herbal medicine + conventional medicine significantly improved the MMSE score, but not the ADAS-cog score, compared with conventional medicine. For behavioral and psychological symptoms of dementia, the Neuropsychiatry Inventory (NPI) score was not significantly different between herbal and conventional medicines. Herbal medicine with conventional medicine significantly improved the NPI and Behavioral Pathology in Alzheimer’s Disease Rating Scale scores compared with conventional medicine. The NPI score showed no significant difference between the groups treated with herbal medicine and placebo. Furthermore, herbal medicine with conventional medicine significantly lowered plasma amyloid beta levels compared with conventional medicine alone. Herbal medicine, whether used alone or as an adjuvant, may have beneficial effects on AD treatment. However, owing to the methodological limitations and high heterogeneity of the included studies, concrete conclusions cannot be made.
Near-inertial wave energetics modulated by background flows in a global model simulation

We study the generation, propagation, and dissipation of wind-generated near-inertial waves (NIWs) in a global 1/25° Hybrid Coordinate Ocean Model (HYCOM) simulation with realistic atmospheric forcing and background circulation during 30 days in May-June 2019. The time-mean near-inertial wind power input and depth-integrated energy balance terms are computed for the total fields and the fields decomposed into vertical modes to differentiate between the radiative and (locally) dissipative components of NIW energy. Only 30.3% of the near-inertial wind input projects onto the first 5 modes, whereas the sum of the NIW energy in the first 5 modes adds up to 58% of the total NIW energy. Almost all of the depth-integrated NIW horizontal energy flux projects on the first 5 modes. The global distribution of dissipation and decay distances of NIW modes confirm that lower latitudes are a sink for NIW energy generated at higher latitudes. The locally dissipated fraction of NIW energy, qlocal, is found to be uniform throughout the global ocean with a global mean value of 0.79. The horizontal NIW fluxes diverge from areas with cyclonic vorticity and converge in areas with anticyclonic vorticity, i.e., anticyclonic eddies are a sink for NIW energy fluxes, in particular for higher modes. Most of the residual energy that does not project onto modes propagates downward in anticyclonic eddies. The global near-inertial wind power input is 0.21 TW for the 30 days, of which only 19% is transmitted below 500 m depth.
Sortilin drives hypertension by modulating sphingolipid/ceramide homeostasis and by triggering oxidative stress

Sortilin is a glycoprotein mainly known for its role as a trafficking molecule directing proteins to specific secretory or endocytic compartments of the cell. Its actual contribution to essential hypertension has remained hitherto elusive. Combining top-notch in vivo, ex vivo, and in vitro approaches to clinical investigations, Di Pietro et al. explored the signaling pathway evoked by sortilin in endothelial cells and report on such exploration in this issue of the JCI. The researchers identified circulating sortilin as a biomarker associated with high blood pressure. Mechanistically, they demonstrate that sortilin altered sphingolipid/ceramide homeostasis, initiating a signaling cascade that, from sphingosine-1-phosphate (S1P), leads to the augmented production of reactive oxygen species. Herein, we discuss the main implications of these findings, and we anticipate some of the potential avenues of investigation prompted by this discovery, which could eventually lead to treatments for cardiometabolic disorders.
Characterization of the complete mitogenome of Gymnocypris dobula (Günther, 1868) (Cypriniformes: Cyprinidae)

Abstract Gymnocypris dobula, classified into the highly specialized Schizothoracine fish, is endemic to Tibet, China. The complete mitochondrial DNA sequence of G. dobula was 16,728 base pairs in length and comprised 22 transfer RNA genes, 13 protein-coding genes, two ribosomal RNA genes as well as one control region as in a typical vertebrate mitochondrial DNA gene. The ML and BI trees showed that G. dobula was most closely related to Gymnocypris scleracanthus within the highly specialized group. This mitogenome provides new molecular data for further taxonomic and phylogenetic studies of Schizothoracine fish.
Model for the Simulation of the Time-Dependent State in RC Elements

The paper presents an upgrade of the previously developed model for nonlinear 3D analysis of concrete structures extended with the possibility of simulation of the long-term effects (shrinkage and creep) under long-term static load. The origin model is based on the so-called multi-surface principle with modified Rankin criterion for dominant tensile influences (appearance and development of cracks) and the modified Mohr-Coulomb criterion for dominant compressive states (yielding and cracking of concrete). The material behaviour is described with elementary material parameters (modulus of elasticity, Poisson’s coefficient and uniaxial compressive and tensile strength of concrete) by standard tests. Sufficient accuracy along with a simple and effective description of the very complex behaviour of reinforced concrete structures, make this model advantageous. Creep and shrinkage are based on the procedure given by the fib Model Code 2010 and extended with a special extension for non-linear creeping. Two simple examples show the capabilities of the model, while a good agreement between numerical and experimental results indicates that the developed model can well describe long-term effects in reinforced concrete structures, and that the model is appropriate for standard engineering practice.
The dynamic influence of inbound tourism and film and drama industry in promoting environmental sustainability in China: new evidence from bootstrap ARDL approach

Abstract The ongoing climate changes have created various challenges for each industry to achieve sustainable environmental goals. Like other extensively growing industries, China's film and drama industry and inbound tourism are also responsible for contributing effectively toward a sustainable environment. Despite its significant importance, there is a dearth of empirical evidence that analyses these industry's environmental performance. Thus, this study fills the gap by applying the novel bootstrap ARDL approach and found that Inbound Tourism and Film and Drama industry increased environmental performance (reducing ecological footprint) in China. These results imply that entertainment industries and inbound tourism increased social awareness and encouraged environmental protection in societies and industries. Manifestly, the coefficient's magnitude of the Film and Drama industry is relatively lower due to a smaller share of the overall economy. However, it shows significant potential for sustainability by creating awareness about sustainable practices and corporate social responsibility, leading to higher environmental performance. Moreover, a feedback effect (two-way causality) exists between Film and Drama industry, Inbound Tourism, and environmental performance. These results offer valuable policy recommendations.
Perceptions of Industry Engagement in Tourism and Hospitality Studies in South Africa

This research aimed to determine student and industry perceptions of industry engagement in tourism and hospitality studies in South Africa. The study applied a mixed methodology to ascertain these perceptions to determine how industry engagement can be enhanced in order to produce work-ready, employable and entrepreneurial graduates, particularly in light of the COVID-19 pandemic. Based on 420 valid surveys conducted with students across six universities, the key findings suggest that students perceive that their universities sufficiently and effectively provide them with the necessary soft skills, practical skills, creativity skills, and personal responsibility tools through industry engagement activities. Respondents agreed that universities are actively preparing tourism and hospitality students for the world of work and assisting them with career development through industry engagement. The study concludes that the benefits of industry engagement for students include inter alia academic progress, personal development, career planning and workplace exposure, as well as the development of key skills and competencies.
Numerical Assessment of the Hydrodynamic Behavior of a Volute Centrifugal Pump Handling Emulsion

Although emulsion pumping is a subject of growing interest, a detailed analysis of the fluid dynamic phenomena occurring inside these machines is still lacking. Several computational investigations have been conducted to study centrifugal pumps carrying emulsion by analyzing their overall performance, but no studies involved the rheological behavior of such fluids. The purpose of this study is to perform a computational analysis of the performance and flow characteristics of a centrifugal pump with volute handling emulsions and oil–water mixtures at different water cuts modeled as a shear-thinning non-Newtonian fluid. The studied pump consists of a five-bladed backward curved impeller and a volute and has a specific speed of 32 (metric units). The rheological properties of the mixtures studied were measured experimentally under a shear rate ranging from 1 s−1 to 3000 s−1 and were fitted to conventional Cross and Carreau effective viscosity models. Numerical results showed the flow topology in the pump is directly related to the viscosity plateau of the pseudoplastic behavior of emulsions. The viscosity plateau governs pump performance by influencing the loss mechanisms that occur within the pump. The larger the ν∞, the less recirculation loss the fluid experiences, and conversely, the smaller the value of ν0, the less friction loss the fluid experiences.
Analysis of the code and carrier phase measurements performed with LEA-6T GPS receiver

LEA-6T GPS receiver is an integrated navigational GPS module created by uBlox. Unlike most receivers of this type, not only does it send a position but also transmits raw observation data (carrier phase, pseudorange and Doppler). The main purpose of this study is to examine the usefulness of these findings for precise positioning, which would allow to use the test receiver in satellite geodesy. The evaluation platform made at the Institute of Geodesy served as a tool which enabled to record and store data sent from LEA-6T receiver. The recorded data were converted into a universal format for the raw observation data (RINEX 2.11). Then, the positioning quality and signal tests were investigated through a thorough analysis of the recorded data with the help of a surveying and navigation antenna. The test results are shown in the following study.
The importance of gut health in early life for long term health

Introduction. The gut microbiota plays an important role in the normal functioning of the host organism. The microbiota of healthy newborn affected by many factors such as prenatal exposures, maternal nutrition, mode of delivery, type of feeding, introduction to solid food and its type, geography, and antibiotics consumption; and its composition continues to mature until reaching 3 years of age. Normal gut microbiota is essential in gut health, and play an important role in our homeostasis. Therefore, gut microbiota is considered a crucial factor for proper early life development and lifelong health. Prebiotics, along with probiotics, may alter gut microbiota composition thus play a role in the prevention of various diseases associated with dysbiosis condition. Methods. Advanced search for relevant literatures in PubMed, Cochrane, and Willey was conducted. After assessing the relevancy and eligibility, articles were selected and critically appraised. Conclusions. Accumulating evidence from different studies has shown that the occurrence of a disease is often preceded by early alterations of the microbiota. Many studies established correlation between gut microbiota dysbiosis with diseases pathogenesis i.e obesity and other metabolic syndrome, asthma and allergies, also stress-related disorder. Prebiotic supplementation has proven to be effective in obesity, asthma and allergies management, also beneficial for immune system.
A Model for the Dynamic Simulation of a Two-Shaft Industrial Gas Turbine With Dry Low NOx Combustor

A dynamic simulation model for a twin-shaft industrial gas turbine is presented. The model is of modular design. Each component is modelled individually. This allows the model user to modify selected items without having to remodel the complete system. The model allows the simulation of a complete operation cycle from start-up via part load, full load operation and load drop. Simulation results of 14 selected operating points have been compared with measured values from trial test runs. 65 % of the calculated values do not deviate more than 2 % from the referenced values, and over 90 % of all simulated values are located in a tolerance band of less than 5 %. The dynamic response of the model is demonstrated by comparing the measured speed response during a load shedding test with the respective simulation result.Copyright © 1993 by ASME
Restructuring Engineering Education: Why, How And When?

There is strong interest in broadening engineering education, bringing in more liberal arts content as well as additional subjects such as economics, business and law, with which engineers now have to be familiar. There are also cogent arguments for balancing against what is now the almost exclusively quantitative nature of the curriculum, adding more elements that relate to the actual practice of engineering, and structuring engineering education so as to provide multiple and later entry points, which should enable more informed career choices and make engineering attractive to a more diverse range of the population. Many have also sought a change in the level of the professional engineering degree from the bachelor‟s to the graduate level, which would logically, and probably also necessarily, accompany these changes. However, progress towards such changes in the United States has been marginal, in large part because incentives on the micro- and meso-scales do not match those on the macro-scale. On the other hand, there is much more substantial change in other countries, driven in part by the Bologna process. For the United States to be the last to change would be counter to the goal of retaining higher-functioning engineering jobs in the U. S. What needs to happen in order for the U. S. to change is evaluated.
Effects of Application of Information on the Expectations of Benefits from GaaP: Moderating Effects from Perceptions of IIT

In the age of digital transformation, this study aims to reveal the determinant factors of the expectations of public officials of the benefits from Government as a Platform (GaaP). This study utilizes information as an independent variable, with the perception of intelligent information technologies (IIT) as a moderating variable, along with practical effects from three types of GaaP (cooperative GaaP, intelligent GaaP, and transparent GaaP) as dependent variables in establishing our research model. We conducted multiple regression analysis and moderating effect analysis to verify the proposed hypotheses. The robust regression relation analysis was adopted to solve outlier problems. Based on the results, we recommend that governments promote favorable circumstances for using information and that all government officials should get used to utilizing IIT in their jobs. The government also needs to adopt the bottom-up approach for adopting IIT or innovation. We also found that leaders need to be careful when considering a top-down approach in the public sector because strong leadership is a double-edged sword.
Behavioral Adaptation to Adaptive Cruise Control

The ability of adaptive cruise control (ACC) to induce behavioral adaptation in drivers was assessed in a test-track environment. Eighteen experienced drivers performed a secondary, in-vehicle number search task while following a confederate lead vehicle. The three counterbalanced conditions were: No ACC (self-maintained average headway of 2 s), ACC-Short (headway of 1.4 s) and ACC-Long (headway of 2.4 s). Results indicate that ACC can induce behavioral adaptation in potentially safety-critical ways. Participants were able to correctly identify significantly more stock price quotes per minute when using ACC than when they drove unaided. At the same time, participants reacted more slowly to a safety-relevant brake light detection task when they used ACC, and responded within a safe time margin 33% less often. This effect was particularly pronounced in those scoring high on a sensation-seeking scale. ACC use was associated with impaired lane-keeping performance, an effect that was also more evident in high sensation-seekers. During a simulated failure of the ACC system, participants waited until the vehicle-to-vehicle headway was 0.6 s before they intervened; those with an external locus of control took longer to react than those with an internal locus of control. Finally, participants' trust in ACC increased following exposure, and was not affected by the failure of the ACC system. Results are consistent with similar research conducted on lane departure warning systems.
The Development of a Force Platform: Numerical and Experimental Analysis

A design of a force platform for biomechanical use is presented here. The platform was built with four octagonal load cells, each one measuring two uncoupled forces, horizontal and vertical. The complete system can measure three orthogonal forces and moments. A comparison with numerical and experimental analysis of the force plate is discussed and the main advantages of particular constructional details singled out. The platform described here proves to be relatively simple, economical to build and with low crosstalk between channels.
Automation of order costing analysis by using Visual Basic for applications in Microsoft Excel

In the modern world of technologies (sciences of arts), optimum operation time is the prime consideration. Technologies with greater operation time are needed to be modified or replaced as per the requirement of the current scenario. In small and medium enterprises of developing countries, almost all the reporting activities are conducted in Microsoft Excel. The manual operation in Microsoft Excel takes a long time (17.37 minutes, only if there was one order of only one article with one color) of the users; furthermore, there can also be a greater chance of error in the report. In the same way, the order costing report at the ABC footwear company of Lahore is prepared manually in Microsoft Excel which used to take a long time to be prepared along with the greater probability of errors in the report. Because of the above-mentioned reasons, the order costing report was decided to be automated with the help of visual basic for applications (VBA) in Microsoft Excel. The manual procedure including all the activities was collected from the planning and costing department of ABC Company. Moreover, all the activities were listed down and their time study was conducted. VBA macros were programmed with the objectives of automating all the manual tasks of the order costing report in Microsoft Excel and eliminating the chance of error (calculation error made by the employee). Macros, were programmed by the use of conditional statements, (i.e. if and else conditions) and various types of loops, (i.e. Do while loop and for loop). Automated decisions were made with the help of conditional statements during the operation and the conditional statements were circulated with the help of loops across the whole worksheet. Two userforms were designed for the execution of macros by the click of command buttons (having macros at their back). Total eight worksheets were incorporated into the automated template. All the programmed VBA macros were explained with the help of flowcharts made in the Microsoft Visio. After the report was automated, a time study of operations performed after each click was conducted with the help of stop watch. The data obtained by the time study was entered into Microsoft Excel so that the time of old and suggested methods could be compared. Comparison of both methods indicated that the suggested method took 85.92% less time as compared to the old method of preparing the order costing report. At the same time, the report made by the suggested method was free of errors and the workload of employees was also reduced.
Resonant Raman Scattering in Boron-Implanted GaN

A small Boron ion (B-ion) dose of 5 × 1014 cm−2 was implanted in a GaN epilayer at an energy of 50 keV, and the sample was subjected to high-temperature rapid thermal annealing (RTA). The resonant Raman spectrum (RRS) showed a strong characteristic of a photoluminescence (PL) emission peak associated with GaN before B-ion implantation and RTA treatment. The PL signal decreased significantly after the B-ion implantation and RTA treatment. The analysis of temperature-dependent Raman spectroscopy data indicated the activation of two transitions in B-ion-implanted GaN in different temperature ranges with activation energies of 66 and 116 meV. The transition energies were estimated in the range of 3.357–3.449 eV through calculations. This paper introduces a calculation method that can be used to calculate the activation and transition energies, and it further highlights the strong influence of B-ion implantation on the luminesce of GaN.
Innovation Concepts and Typology – An Evolutionary Discussion

The full version of this paper can be for free downloaded form http://papers.ssrn. com/sol3/papers.cfm? abstract_id=2221299 This paper is devoted to the analysis of evolution of innovation concepts, aspect and types. First emergence and evolution of different aspects and concepts of innovation are analysed, then the development of innovation concepts from a historical perspective and finally an overview given of types of innovation classifications developed in the literature. Surrounding this different definitions of innovation are described and analyzed in detail. The main goal of the article is to define the trend of development of innovation conceptualization and understanding over time.