Miracle-dz/UniFAR-FTUs huggingface dataset:
When Philanthropy Funds Government: An Exploration of Democratic Public Values

Using philanthropy to fund public services can provide capacity for government, but these arrangements raise questions regarding the impact to democratic public values. This research explores how democratic public values are expressed in a philanthropic program managed by the local city government in Fort Collins, Colorado. Data indicate that City staff developed program strategies that reflect democratic public values, including expanding opportunities for participation by community members and considering how funds can be used to equitably serve the community. However, incorporating these strategies into the program model did not happened automatically. It has required rethinking the program’s purpose, considering its role in creating public value beyond providing increased financial capacity.
Development of objective forecast guidance on tropical cyclone rapid intensity change

Forecasting tropical cyclone (TC) intensity and rapid intensification (RI) are major challenges for numerical weather prediction models. In the present study, a model post‐processing technique, namely the TC intensity guidance on rapid intensification (TINT‐RI), has been developed for the western North Pacific basin (South China Sea excluded). It combines logistic regression and the naïve Bayes classifier to provide RI forecasts up to the next 48 hr. Predictors describing physical and environmental conditions are taken from the outputs of the European Centre for Medium‐Range Weather Forecasts model and the National Oceanic and Atmospheric Administration tropical cyclone heat potential field. Several observed TC characteristics such as persistence (change of past 12 hr intensity) are also included in the algorithm. To further reduce the false alarm ratio, the TINT‐RI makes reference to the intensity forecasts from a previously developed statistical‐dynamical TC intensity forecast model and the change of model vertical wind shear. Verification for TCs with RI reveals that the TINT‐RI is significantly more skilful than the direct model outputs from major global numerical weather prediction models and climatology. A case study on extreme RI of Super Typhoon Hato (1713) during its substantial intensification over the Luzon Strait before entering the northern part of the South China Sea is presented to discuss the performance of the TINT‐RI. Potential ways to improve the TINT‐RI such as using sea surface temperature and its anomaly as the oceanic predictor are discussed.
Electrification of a Heavy-Duty CI Truck—Comparison of Electric Turbocharger and Crank Shaft Motor

A combustion engine-driven vehicle can be made more fuel efficient over some drive cycles by, for example, introducing electric machines and solutions for electrical energy storage within the vehicle’s driveline architecture. The possible benefits of different hybridization concepts depend on the architecture, i.e., the type of energy storage, and the placement and sizing of the different driveline components. This paper examines a diesel electric plug-in hybrid truck, where the powertrain includes a diesel engine supported with two electric motors, one supporting the crank shaft and one the turbocharger. Numerical optimal control was used to find energy-optimal control strategies during two different accelerations; the trade-off between using electrical energy and diesel fuel was evaluated using a simulation platform. Fixed-gear acceleration was performed to evaluate the contribution from the two electric motors in co-operation, and individual operation. A second acceleration test case from 8 to 80 km/h was performed to evaluate the resulting optimal control behavior when taking gear changes into account. A cost factor was used to relate the cost of diesel fuel to electrical energy. The selection of the cost factor relates to the allowed usage of electrical energy: a high cost factor results in a high amplification from electrical energy input to total system energy savings, whereas a low cost factor results in an increased usage of electrical energy for propulsion. The difference between fixed-gear and full acceleration is mainly the utilization of the electric crank shaft motor. For the mid-range of the cost factors examined, the crank shaft electric motor is used at the end of the fixed-gear acceleration, but the control sequence is not repeated for each gear during the full acceleration. The electric motor supporting the turbocharger is used for higher cost factors than the crank shaft motor, and the amplification from electrical energy input to total energy savings is also the highest.
Chemical and physical properties of Thai traditional shrimp paste (Ka-pi) -

Thai traditional fermented shrimp paste (Ka-pi) is widely consumed as condiment and seasoning ingredient in Thailand. Chemical and physical properties of thirteen shrimp paste samples were examined. The water content and water activity (Aw) of the products ranged from 33.95-52.19 % and 0.64-0.72, respectively while salt concentration was 7.00 to 10.85 %. The nitrogen content varied from 2.87 to 6.85 % (w/w). KS1 showed the highest protein content (42.8 %) followed by SP1 and SP3 (42.4 and 41.3 %), respectively. The predominant amino acids were glutamic acid (70.1-593.9 µg/g), lysine (112.7-546.3 µg/g) and leucine (29.5-544.9 µg/g). Total bacterial cell count in the samples ranged from 1.3x103 - 2.9x105 cfu g-1 while lactic acid bacteria (LAB) were not detected. This study will be provided the information for improving the quality of products in manufacture to meet the demand of consumer.
Ferramenta de otimização para alocação de geração própria

A alocacao de geracao propria de energia e uma rotina que deve ser realizada, normal- mente, a cada mes, pelos agentes que se enquadram na categoria de auto-produtores, produtores independentes com cargas proprias e consumidores participantes de Sociedade de Proposito Especifico (SPE) no Ambiente de Contratacao Livre (ACL). Nesse contexto, a alocacao de energia para as unidades do agente e feita baseada em uma distribuicao proporcional ao seu consumo. Com o objetivo de otimizar essa distribuicao, de maneira a obter os maiores ganhos possiveis para o agente, este trabalho apresenta uma ferramenta computacional que possibilita a alocacao otima de geracao propria de energia, utilizando o metodo Simplex. Os resultados obtidos confirmam as vantagens de se utilizar essa ferramenta de otimizacao em relacao a maneira comumente utilizada de alocacao. Palavras-chave: Mercado livre de energia. Geracao propria. Otimizacao. Optimization tool for allocation of self-generated energy Abstract The allocation of self-generated energy is a routine that must be carried out, normally, every month by agents who fall into the category of self-producers, independent producers with their loads, and consumers participating in the Specific Purpose Company (SPE) in the Free Contracting Environment (ACL In this context, the allocation of energy to the agent's units is made based on a distribution proportional to their consumption. Aiming to optimize this distribution to obtain the greatest possible gains for the agent, this work presents a computational tool that allows the optimal allocation of own generation using the Simplex method. The results obtained confirm the advantages of using this optimization tool concerning the commonly used way of allocation. Keywords: Free energy market. Self-generated energy. Optimization.
Whole Transcriptome Analysis on Sepsis Caused by Pyogenic Liver Abscess

Background Pyogenic liver abscess (PLA) is a common clinical disease throughout the world with remaining high mortality and morbidity. This study sought to investigate key genes and non-coding RNAs (ncRNAs) associated with the pathogenesis and treatment of sepsis caused by PLA (SLA). Methods We constructed the expression profiles of RNAs by RNA sequencing in the peripheral blood of healthy subjects, SLA and seven day therapy of SLA patients. Then the sequencing data was analysed through integrated bioinformatics strategy. Results 4549 mRNAs, 9808 lncRNAs, 467 circRNAs and 292 miRNAs were differentially expressed (DE) between SLA and control samples. 3199 mRNAs, 6018 lncRNAs, 161 circRNAs and 132 miRNAs were differentially expressed between SLA after 7 days therapy and SLA control subjects. Moreover, DE mRNAs of the former two comparisons were both related to immunity and T cell-mediated immune response; DE lncRNAs were both associated with B cell receptor signaling pathway and Osteoclast differentiation; DE circRNAs were both related to Chagas disease and B cell receptor signaling pathway; DE miRNAs exerts its specific role in the process of SLA by MAPK signaling pathway and Estrogen signaling pathway compared to DE lncRNAs, circRNAs and mRNAs. Finally, lncRNA/circRNA–miRNA–mRNA network was constructed to explore the internal regulating relationships of these ncRNAs and mRNAs. Conclusions Our results may provide a new perspective on differential RNA expression involved in the pathogenesis and treatment of SLA and accelerate the development of novel treatments for this disease.
The life science x-ray scattering beamline at NSLS-II

We report the current development status of the High Brightness X-ray Scattering for Life Sciences (or Life Science X-ray Scattering, LiX) beamline at the NSLS-II facility of Brookhaven National Laboratory. This instrument will operate in the x-ray energy range of 2.1-18 keV, provide variable beam sizes from 1 micron to ∼0.5 mm, and support user experiments in three scientific areas: (1) high-throughput solution scattering, in-line size exclusion chromatography and flow mixers-based time-resolved solution scattering of biological macro-molecules, (2) diffraction from single- and multi-layered lipid membranes, and (3) scattering-based scanning probe imaging of biological tissues. In order to satisfy the beam stability required for these experiments and to switch rapidly between different types of experiments, we have adopted a secondary source with refractive lenses for secondary focusing, a detector system consisting of three Pilatus detectors, and specialized experimental modules that can be quickly exch.
Test Generation for Hardware Trojan Detection Using Correlation Analysis and Genetic Algorithm

Hardware Trojan (HT) is a major threat to the security of integrated circuits (ICs). Among various HT detection approaches, side channel analysis (SCA)-based methods have been extensively studied. SCA-based methods try to detect HTs by comparing side channel signatures from circuits under test with those from trusted golden references. The pre-condition for SCA-based HT detection to work is that the testers can collect extra signatures/anomalies introduced by activated HTs. Thus, activation of HTs and amplification of the differences between circuits under test and golden references are the keys to SCA-based HT detection methods. Test vectors are of great importance to the activation of HTs, but existing test generation methods have two major limitations. First, the number of test vectors required to trigger HTs is quite large. Second, the HT circuit’s activities are marginal compared with the whole circuit’s activities. In this article, we propose an optimized test generation methodology to assist SCA-based HT detection. Considering the HTs’ inherent surreptitious nature, inactive nodes with low transition probability are more likely to be selected as HT trigger nodes. Therefore, the correlations between circuit inputs and inactive nodes are first exploited to activate HTs. Then a test reordering process based on the genetic algorithm (GA) is implemented to increase the proportion of the HT circuit’s activities to the whole circuit’s activities. Experiments on 10 selected ISCAS benchmarks, wb_conmax benchmark, and b17 benchmark demonstrate that the number of test vectors required to trigger HTs reduces 28.8% on average compared with the result of MERO and MERS methods. After the test vector reordering process, the proportion of the HT circuit’s activities to the whole circuit’s activities is improved by 95% on average, compared with the result of MERS method.
Application of Technology in Educating Nursing Students During COVID-19: A Systematic Review

Introduction: In the crisis of Corona virus epidemic, the education of undergraduate nursing students has faced many challenges. Face-to-face training is closed and academics are forced to adapt to distance learning. As a result, nursing students may encounter unfamiliar technologies. This article provides examples of technologies used to provide nursing education. Methods: This research is an applied study that was conducted in 2021 by systematic review method. Using the keywords of e-learning, nursing students, Corona virus and Covid-19 were found in various databases such as PubMed, Science Direct and Google scholar in the last two years (2019-2020) due to the prevalence of coronary heart disease. According to the inclusion and exclusion criteria of the study, which was the time period and English language of the articles, related articles were included in the study, their information was extracted and entered in the checklist, and finally the collected data were analyzed using descriptive statistics. Incoming and outgoing articles are reported using the PRISMA flowchart. Results: In this study, 275 English articles were found. After reviewing the articles, 12 articles were included in the study. Studies conducted from 2019 to 2020 in the field of e-learning for nursing students. In these articles, eight educational methods for educating nursing students have been introduced, and the use of cloud space for loading course materials and the use of software that can be installed on smartphones were mentioned in 83% of the articles. The use of Zoom, SoundCloud, Microsoft Teams and Blackboard Collaborate software for loading webinars was suggested in 91% of the articles. Conclusion: According to the findings of this article, it was found that most studies have been conducted to introduce applied software to provide practical courses, which due to the practical nature of many nursing courses, the software have a high capability.
A novel kerf-free wafering process combining stress-induced spalling and low energy hydrogen implantation

In this work, we studied the potential use of low-energy hydrogen implantation as a guide for the stress-induced cleavage. Low-energy, high fluence hydrogen implantation in silicon leads, in the right stiffening conditions, to the detachment of a thin layer, around a few hundreds nm thick, of monocrystalline silicon. We implanted monocrystalline silicon wafers with low-energy hydrogen, and then glued them on a cheap metal layer. Upon cooling down, the stress induced by the stressor layers (hardened glue and metal) leads to the detachment of a thin silicon layer, which thickness is determined by the implantation energy. We were then able to clearly demonstrate that, as expected, hydrogen oversaturation layer is very efficient to guide the stress. Using such process, thin silicon layers of around 710 nm-thick were successfully detached from low-energy implanted silicon wafers. Such layers can be used for the growth of very good quality monocrystalline silicon of around 50 µm-thick or less. (© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)
Towards an optimal design of natural human interaction mechanisms for a service robot with ancillary way-finding capabilities in industrial environments

ABSTRACT In addition to production-oriented robots, service robots with social skills can also perform a role in industrial environments, providing on-demand ancillary services that support production activities. In this paper, a robot that provides way-finding services within an industrial facility (e.g., finding a person or place) and is able to naturally interact with workers is presented. So as to give a more natural dimension to the robot’s verbal interaction ability and achieve acceptance from human workers, the research in this paper is directed towards the improvement of its semantic natural language interpreter, with the aim of making it able to automatically learn from new interactions. A user study is also reported, in order to assess both the capabilities of the interpreter and the performance of the robot’s communication and way-finding abilities, paying special attention to user experience (UX), which may help identify possible design problems in further research stages.
Mining analysis of customer perceived value of online customisation experience under social commerce

ABSTRACT Customer review data on the JD.com (https://www.jd.com) is collected in this paper, and the text mining methods are employed to study the customer perceived value (CPV) of customised products under social commerce, trying to add to the understanding of why certain customisation programmes are successful while others fail. The results show that the CPV of online customisation products in China is a multi-dimensional construct that includes process and results values, and social media can affect the relationships among customers and hosting firms involved in co-creation. Therefore, this study provides theoretical and practical implications for Chinese enterprises to understand and manage online customisation experience.
Ecological turnover in neotropical freshwater and terrestrial communities during episodes of abrupt climate change

ABSTRACT The last 85,000 years were characterized by high climate and environmental variability on the Yucatán Peninsula. Heinrich stadials are examples of abrupt climate transitions that involved shifts in regional temperatures and moisture availability. Thus, they serve as natural experiments to evaluate the contrasting responses of aquatic and terrestrial ecosystems. We used ostracodes and pollen preserved in a 75.9-m-long sediment core (PI-6, ~85 ka) recovered from Lake Petén Itzá, Guatemala, to assess the magnitude and velocity of community responses. Ostracodes are sensitive to changes in water temperature and conductivity. Vegetation responds to shifts in temperature and the ratio of evaporation to precipitation. Ostracodes display larger and more rapid community changes than does vegetation. Heinrich Stadial 5-1 (HS5-1) was cold and dry and is associated with lower ostracode and vegetation species richness and diversity. In contrast, the slightly warmer and dry conditions during HS6 and HS5a are reflected in higher ostracode species richness and diversity. Our paleoecological study revealed the greatest ecological turnover for ostracodes occurred from 62.5 to 51.0 ka; for pollen, it was at the Pleistocene/Holocene transition. Future studies should use various climate and environmental indicators from lake and marine sediment records to further explore late glacial paleoclimate causes and effects in the northern neotropics.
Gender stereotypes in Nancy Meyers� �The Intern� (2015): A study of film audience response

Previous film studies focusing on gender stereotypes have been sufficiently conducted, yet what remains understudied is the study of film audience about dynamic gender stereotypes shown in one film. Conducting film audience study with the issue of dynamic gender stereotype allows discussions about audience’s perceptions, awareness and underlying knowledge of gender stereotypes. This study attempts to unravel responses collected from thirteen audience of Nancy Meyer’s “The Intern” (2015) and formulates two research objectives i.e. first, to discuss how the audience of “The Intern” perceive the dynamics of gender stereotype depicted in the film and, second, to examine the underlying insights of their perceptions. The incorporated theories are film audience study, serving also as methodological approach, and the discourse of gender stereotype and its changing perspectives. The finding and discussion show that the audience of “The Intern” perceive the inclusion of gender stereotypes and its dynamic change in the film, and their perceptions are followed by several reasons and insights: the story-line of “The Intern” and the audience’s prior knowledge about gender stereotypes. Awareness and sensibility of gender stereotypes are also revealed after watching “The Intern”. Lastly, discussion about the intersection of the audience’s prior knowledge with the exposure about gender stereotype from various resources is also carried out.
Water Invoking Interface Corrosion: An Energy Density Booster for Ni//Zn Battery

Advanced Ni//Zn batteries possess great promise that combines battery‐level energy density and capacitor‐level power density. However, the surface chemical reactivity of the cathode is generally restricted by active material utilization, leading to an insensitive edge site and unsatisfactory capacity. Herein, a simple and energy‐saving strategy is reported for manipulating the bimetallic sulfide nanointerfaces via water invoking interface corrosion to achieve a 200% increase in the capacity of electrodes. The combined action of water and oxygen causes secondary in situ growth of NiCo–OH nanosheet coating layers on the CoxNi3‐xS2 nanowalls with surface enrichment of low‐valence mixed states, which deliver remarkable reactive activity and structural stability. As a result, the 3D cathode yields an ultrahigh capacity of 2.45 mAh cm−2, higher than that of the pristine nanomaterial (1.20 mAh cm−2). The resulting Ni//Zn battery with excellent reversibility and long‐life, achieves a remarkable energy density of 4.29 mWh cm−2 (728 Wh kg−1), which is superior to most recently reported aqueous Zn‐based batteries and is even comparable to Li‐ion batteries. This work explores the interface corrosion mechanism and corrosion‐surface activity relationship, which is a powerful strategy to construct high surface electrochemical activity of metallic sulfides/phosphides for renewable energy storage devices.
Monitoring of tar balls pollutants in the coasts of Egyptian Red Sea

ABSTRACT The coasts of the Red Sea are attractive for their clear water and are vital for marine activities. However the coasts are under constant threat of petroleum pollution in the form of heavy tar balls, which may result from petroleum activities. Six tar balls samples were studied to assess the pollution and to evaluate the hydrocarbons origin with emphasis on the polyaromatic hydrocarbons separated from the tar balls. The saturates were analyzed using gas chromatography. High-performance liquid chromatography was used to study the polyaromatic hydrocarbon fingerprints. The results obtained indicate the absence of low polyaromatic hydrocarbons.
Limits for the graphene on ferroelectric domain wall p-n-junction rectifier for different regimes of current

Here, we present the theory of the conductivity of a pn junction (pnJ) in a graphene channel, placed on a ferroelectric substrate, caused by the ferroelectric domain wall for the case of the arbitrary current regime: from ballistic to diffusive one. We calculated the ratio of the pnJ conductions for opposite polarities of voltages, applied to source and drain electrodes of the channel, G+total/G−total, as a function of graphene channel length L, electron mean free path λ, and ferroelectric substrate permittivity e33f. We have demonstrated that the small values of G+total/G−total (0.1 and smaller), which correspond to the efficient graphene pnJ based rectifier, can be obtained for the ferroelectrics with high e33f≫100 and for the ratios of L/λ ∼ 1 or smaller. However, for ferroelectrics with extremely high e33f (relaxor or PbZrxTi1−xO3 with the composition x near the morphotropic phase boundary x = 0.52), the ratio G+total/G−total can be essentially smaller than unity for the case of a pronounced diffusive.