Miracle-dz/UniFAR-FTUs huggingface dataset:
Scenario Analysis for GHG Emission Reduction Potential of the Building Sector for New City in South Korea

A new government report on climate change shows that global emissions of greenhouse gases have increased to very high levels despite various policies to reduce climate change. Building energy accounts for 40% of the world’s energy consumption and accounts for 33% of the world’s greenhouse gas emissions. This study applied the LEAP (Long-range energy alternatives planning) model and Bass diffusion method for predicting the total energy consumption and GHG (Greenhouse Gas) emissions from the residential and commercial building sector of Sejong City in South Korea. Then, using the Bass diffusion model, three scenarios were analyzed (REST: Renewable energy supply target, BES: Building energy saving, BEP: Building energy policy) for GHG reduction. The GHG emissions for Sejong City for 2015–2030 were analyzed, and the past and future GHG emissions of the city were predicted in a Business-as-Usual (BAU) scenario. In the REST scenario, the GHG emissions would attain a 24.5% reduction and, in the BES scenario, the GHG emissions would attain 12.81% reduction by 2030. Finally, the BEP scenario shows the potential for a 19.81% GHG reduction. These results could be used to guide the planning and development of the new city.
Modeling of analog battery management system for single cell lithium ion battery

The Li‐ion battery is an energy storage system in consumer and industrial applications. Because of their cell and pack level protection, Li‐ion battery requires a battery management system (BMS). The important function of the BMS is to monitor and protect the Li‐ion battery cells and packs from fault conditions, in order to maximize their lifecycle and increase safety features. In this research article, an analog BMS is presented for the protection of nickel manganese cobalt oxide‐chemistry‐based single‐cell Li‐ion battery. The Analog BMS is a battery protection circuit module that includes battery protection integrated circuit to protect batteries from overvoltage, undervoltage, overcurrent charging, and overcurrent discharging conditions. In addition, the semiconductor switches are used for charge and discharge protection control. This protection circuit module is designed for 18650 single‐cell Li‐ion battery and test the performance of analog BMS based on protection parameters. A real‐time experiment is carried out on analog BMS interconnected with 18650 single‐cell Li‐ion battery and tested under different charge and discharge rates using standard constant current‐constant voltage (CC‐CV) charging method. The experimental results show that the developed analog BMS protected single‐cell Li‐ion battery from overvoltage, undervoltage, overcurrent charging, and discharging conditions under different C/5, C/2, and 1C rates.
Clonal Spread of Quinolone-Resistant Escherichia coli among Sika Deer (Cervus nippon) Inhabiting an Urban City Park in Japan

Abstract: The emergence and dissemination of resistance to clinically important antimicrobials in wild animals is of great concern. The aim of our study was to reveal the prevalence and intraspecies dissemination of quinolone-resistant Escherichia coli (QREC) in sika deer (Cervus nippon) in Nara Park, a famous tourist spot in Japan. Fecal samples were collected from 59 wild deer in Nara Park between July and October 2018. We isolated QREC using deoxycholate-hydrogen sulfide-lactose agar containing nalidixic acid and subjected it to antimicrobial susceptibility testing. The mutations in the quinolone resistance-determining region (QRDR) of the gyrA and parC genes of the isolates were analyzed and fragment patterns of genomic DNA were compared by pulsed-field gel electrophoresis (PFGE). A total of 105 QREC isolates were obtained from 41 deer (70%). All isolates had mutations within the QRDR. Other than quinolone resistance, QREC isolates also showed resistance to various other antimicrobial agents. The QREC isolates were classified into 15 PFGE clusters, of which seven were observed in multiple deer. Our results suggest clonal transmission of QREC in a high-density deer population. Spread of QREC in deer inhabiting a tourist location could have potential impact on public health.
Does high public health expenditure slow down economic growth

The Fritillaria imperialis is an ornamental flower that can be found in various parts of the world including Iraq, Afghanistan, Pakistan, and the Himalayas. The use of this plant as traditional remedy is widely known. This study aims to unveil the anti-cancer potentials of Isopimara-7,15-Dien-19-Oic Acid, extracted from the bulbs of F. imperialis in cervical cancer cell line, HeLa cells. Flow cytometry analysis of cell death, gene expression analysis via cDNA microarray and protein array were performed. Based on the results, Isopimara-7,15-Dien-19-Oic acid simultaneously induced cell death and promoted cell survival. The execution of apoptosis was apparent based on the flow cytometry results and regulation of both pro and anti-apoptotic genes. Additionally, the regulation of anti-oxidant genes were up-regulated especially thioredoxin, glutathione and superoxide dismutase- related genes. Moreover, the treatment also induced the activation of pro-survival heat shock proteins. Collectively, Isopimara-7,15-Dien-19-Oic Acid managed to induce cellular stress in HeLa cells and activate several anti- and pro survival pathways.
Digital dexterity: employee as consumer approach towards organizational success

ABSTRACT The implementation of digital apparatuses is merely the investment of non-living resources while reaping prolific outcomes from digital business initiatives is ensured through talented and ambitious employees. This review study aims to shed the light on an imperative behavioural feature of employees i.e., digital dexterity (DD) that has emerged as the prognostic module of advantageous digital transformation. The review work developed an understanding of DD from the HRD context through digital business literature. The novel concept of DD was further delineated for practical implications by cognitive capabilities such as personal innovativeness, self-efficacy, and technological self-efficacy. Then strategies to develop the DD at the workplace were addressed towards employees, leaders, and business entities’ perspectives. The research inferences can support the HRD managers, industry experts, and academic professionals to design a suitable plan of action by considering the employee as a top priority towards digital transfusion. This review would provide a better comprehension of the HRD along with the Management Information System field to emphasize the employee-level innovativeness at the workplace.
On data-driven nonlinear uncertainty modeling: Methods and application for control-oriented surface condition prediction in hard turning

Abstract In this article, two data-driven modeling approaches are investigated, which allow an explicit modeling of uncertainty. For this purpose, parametric Takagi-Sugeno multi-models with bounded-error parameter estimation and nonparametric Gaussian process regression are applied and compared. These models can for instance be used for robust model-based control design. As an application, the prediction of residual stresses during hard turning depending on the machining parameters and the initial hardness is considered.
Isotherms, Kinetics, and Thermodynamics of NH4+ Adsorption in Raw Liquid Manure by Using Natural Chabazite Zeolite-Rich Tuff

The search for safer and sustainable management of animal manure is a global and topical challenge, in particular for the reduction of nitrogen (N) content. The use of natural adsorbents as zeolite-rich tuffs is recognized as a valid method to recover N, in the form of ammonium (NH4+), from animal manure. While the scientific literature is rich in studies performed on synthetic solutions and using clinoptilolite zeolites as adsorbent, it lacks information concerning adsorption in real liquid manure and using other types of zeolite-rich tuffs (e.g., chabazite). This work aims at exploring the NH4+ adsorption process from raw liquid swine manure, using a chabazite-rich zeolite tuff as adsorbent. The effects of temperature, contact time, and grain size have been assessed. Isotherms, kinetic models, and thermodynamic parameters have been investigated. Harkins-Jura isotherm correlates well with the observed data, in accordance with the formation of an adsorption multilayer. Kinetic data have been explained by intraparticle diffusion and pseudo-second-order models. In conclusion, the natural chabazite tuff has proven to be a valid material for NH4+ adsorption from raw liquid swine manure. In particular, to reach the highest adsorption capacities and adsorption rates, it is recommended to use it at a fine particle size and with dosages < 6 %.
Structural Engineering and Coupling of Two-Dimensional Transition Metal Compounds for Micro-Supercapacitor Electrodes

The development of portable, wearable, and miniaturized integrated electronics has significantly promoted the immense desire for planar micro-supercapacitors (MSCs) among the extremely competitive energy storage devices. However, their energy density is still insufficient owing to the low electrochemical performance of conventional electrode materials. Compared with their bulk counterparts, the large specific surface area and fast ion transport with efficient intercalation of two-dimensional (2D) transition metal compounds have spurred the research platforms for their exploitation in the creation of high-performance MSCs. This Outlook presents a systematic summary of cutting-edge research on atomically thin, layered structures of transition metal dichalcogenides, MXenes, and transition metal oxides/hydroxides. Special emphasis is given to the rapid and durable storage of ions, benefiting from the low ion diffusion barriers of host interlayer spaces. Moreover, various strategies have been described to circumvent the structural damage due to the volume change and simultaneously evincing remarkable electronic properties.
Landscape governance through partnerships: lessons from Amboseli, Kenya

Abstract The Amboseli landscape in Kenya has long been facing persistent challenges regarding conservation and development. To mitigate these problems and contribute to the Sustainable Development Goals (SDGs), various policy interventions have been initiated, mostly in the form of partnership arrangements. This article examines two such partnerships, the Amboseli Ecosystem Trust (AET) and the Big Life Foundation (BLF), to understand how they contribute to the governance of the Amboseli landscape, and the intrinsic link to power and politics. The research findings, based on document analysis, interviews and focus-group discussions, reveal that the partnerships have performed complementing landscape governance roles. Whereas AET focused on policy development, agenda-setting and meta-governance, BLF concentrated on policy implementation and meta-governance in relation to wildlife security. The way the partnerships performed these governance roles can be explained through the four faces of power, which reveal BLF’s compulsory power and AET’s institutional power. Nevertheless, the partnerships have only partially managed to bridge conflicting conservation and development discourses illustrating that the concept of sustainable development appears to hold little productive power on the ground. Overall, the article provides important insights into the contributions that partnerships can make to the SDGs, but also their limitations.
Investigation of Safety-in-Numbers for Pedestrians and Bicyclists at a Macroscopic Level with Various Exposure Variables

Safety-in-numbers is a phenomenon whereby the crash risks of road users decrease when their numbers increase. Although several previous studies have confirmed safety-in-numbers at a microscopic level (e.g., intersection), few studies have investigated safety-in-numbers at a macroscopic level (or zonal level). In this study, safety-in-numbers is investigated at a larger scale unit, the metropolitan statistical area (MSA), which is usually composed of multiple counties in the U.S.A. Various pedestrian and bicyclist exposure data were obtained from the U.S. National Household Travel Survey (i.e., trips, miles, and hours). A series of Bayesian Poisson lognormal models confirm safety-in-numbers with the different exposure variables at a large-scale geographic level (i.e., MSA). The findings imply that regional travel behavior and cultures of respect for vulnerable road users play a key role in determining the level of pedestrian and bicyclist safety. In addition, the results reveal other factors important to vulnerable road user involved crashes, including but not limited to the climate, demographic, socioeconomic, and travel characteristics of the study regions.
Lining the nest with more feathers increases offspring recruitment probability: Selection on an extended phenotype in the blue tit

Abstract Birds, among various other taxa, construct nests. Nests form an extended phenotype of the individual building it. Nests are used to extend control over the conditions in which offspring develop, and are therefore commonly considered to be shaped by selection. Nevertheless, scarcely any scientific evidence exist that nest composition is under selection. Here, we demonstrate with data from over 400 blue tit (Cyanistes caeruleus) nests collected over 8 years that a higher proportion of feathers in the nest lining is positively associated with the probability of offspring to recruit as a breeding adult later in life. Strikingly, the extended phenotype (nest) was associated stronger with recruitment probability than phenotypic traits that have typically been considered important in selection (laying date, and female size and condition). Our findings suggest that the choice of nest material could be a maternal behavior with potential lifelong effects on her offspring.
Alfvénic fluctuations measured by in-vessel Mirnov coils at the Wendelstein 7-X stellarator

The magnetic diagnostic system at the optimized stellarator experiment Wendelstein 7-X (W7-X) includes a total number of 125 Mirnov coils, which are mounted at the inner plasma vessel wall. A wide range of expected signal amplitudes, frequencies and mode numbers is covered to account for the complex three-dimensional geometry of W7-X. The performed amplitude and phase calibration of individual coils including all relevant data acquisition system components allows a detailed spectral and mode analysis. The damped multiple signal classification method and stochastic system identification techniques are shortly described and applied. Two observations are emphasized within this work. Firstly, independent of magnetic configuration and heating scenario (electron cyclotron resonance heating and/or neutral beam injection), broadband fluctuations around 180 kHz have been measured. The nature of these fluctuations is possibly associated with ellipticity-induced Alfvén eigenmodes in the outer regions of the plasma. The latter was inferred by studying corresponding theoretically predicted Alfvén continua calculated with the 3D-MHD continuum code CONTI. Secondly, fast collapses of plasma current and energy, which occurred during recent operational phases at W7-X, show a clear magnetic signature. Short time scale Alfvénic bursts are revealed, which are induced during these sawtooth-like collapses.
Membina Aktivitas Belajar Mahasiswa di Perguruan Tinggi Melalui Metode TIE (Translation, Interpretation, Extrapolation) pada Masa Pandemi Covid-19

The research objective is to foster student learning activities through the TIE (Translation, Interpretation, Extrapolation) method. The research method used was descriptive correlational method. The research sample consisted of 75 people. The data instrument was in the form of a Likert scale questionnaire which consisted of the aspects of translation, interpretation, and extrapolation. Data analysis technique used descriptive statistics, Product Moment correlation, chi square normality, and Anova. The result of the study showed that the average score for translation was 3,767 which was in the high category; the average score for interpretation was 4,075 categorized as very high; and the exploration average score was 4,065 categorized as very high. Overall, it was at an average of 3,969 which was in the high category. If the translation, interpretation, and extrapolation activities were carried out properly,it could build up to 99,3% of learning activities. In conlcusion, the TIE method is important to apply in independent learning activities because it can stimulate students' cognition and psychomotor to achieve better learning quality. In addition, it can present insightful and experienced students.
The role of the cerebellum in creativity and expert stone knapping

The purpose of this article is to review the evolution and function of the cerebellum, particularly in regard to its role in creativity and expert stone knapping. First, the article reviews the history of the cerebellum, its evolution and phylogenetics, and its concerted evolution with various brain regions. It also notes the critical role of the cerebellum and the cerebro-cerebellar network in its traditionally recognized control of gross and fine motor movements and in its exaptation for basic and higher level cognitive processes, particularly in regard to increasingly more sophisticated stone knapping. Also, reviewed are various theories, advanced over the past three decades, of how the cerebellum tweaks and refines thoughts, images, and ideas just as it refines and smooths motor movements. Baddeley’s working memory model is also prominently featured, as are the works of Ito, Vandervert, and others on the cerebellum’s role in novel problem-solving, insight, and creativity. Finally, this article reviews two “Cognitive Rubicons” in stone tool knapping, Theory of Mind and stone knapping, and Malafouris’ Material Engagement Theory. The article concludes with a novel hypothesis that the automaticity provided by the cerebellum derived from extensive practice in stone knapping may have freed Baddeley’s central executive from its attentional demands and allows the mind to “wander and wonder. ”
Enhancement of Retail Consumer Loyalty in Latvia by Means of Social Media Communication

Social media communication has become an important tool both in relying information to potential consumers, as well as in creating experience sharing opportunities. The purpose of this paper is to examine the impact of’ social media communication on the loyalty formation in retailing. The tasks to be carried out are: (1) to research theoretical framework of social media communication and loyalty; (2) to work out methodology for empirical research; (3) to carry out research on consumers’ perception of retail stores online communication. Within the framework of the current study the authors employed a method of customer survey. Applying the non-probability snowball sampling method the questionnaire was distributed via e-mails and Facebook groups (n=327). The general population in this research consisted of the economically active Latvia residents in 2020. The authors used 5-point Likert scale (1-low evaluation, 5 – very high evaluation). The SPSS program was used for this purpose, the following indicators were calculated: arithmetic mean (X ), Median (Me); Mode (Mo); Variation; Standard Deviation; Variation Coefficient. The research question posed in the article was the following: What role does social media play in enhancing consumer loyalty in retailing? Findings: 87% of all respondents have noticed the communication of Latvian retail store networks on social media and 60% of all respondents have chosen to follow the profile of social networks to one of them, which indicates the untapped opportunities of companies in this respect. Evaluating the communication of Latvian retail store chains, the arithmetic average is 2.68, but for communication on social media - 2.72. It means that in order to increase these indicators, Latvian retail store chains must develop a communication strategy taking into account both the values of the target audience and the basic principles of building relationships with customers. The current research results can serve as grounds for the strategy development.
Losing Your Home Is Bad for Your Health: Short- and Medium-Term Health Effects of Eviction on Young Adults

ABSTRACT U.S. cities are increasingly adopting antieviction policies predicated on the belief that evictions have negative consequences for families and communities. Yet the nature and duration of many of these consequences are relatively unknown. We add to the literature on the consequences of evictions by assessing the enduring effects of eviction on the self-reported health of young adults. Using the National Longitudinal Study of Adolescent to Adult Health (Add Health), we find evictions have both short-term (12 months) and medium-term (7–8 years) negative impacts on multiple measures of health. Individuals who experience an eviction are more likely to report being in poor general health or experiencing mental health concerns, even many years after an eviction. As state and local governments develop policies to reduce evictions, it is worth noting that any resulting decrease in evictions may have a positive impact on population health, making health professionals effective potential policymaking partners.
Conversion between Logic and Algebraic Expressions of Boolean Control Networks

The conversion between logic and algebraic expressions of Boolean control networks plays a worthy role in the analysis and design of digital circuits. In this paper, for a single Boolean function, a direct conversion between the minterm canonical form and the structure matrix is provided. For a Boolean control network consisting of systems of Boolean functions, two algorithms are developed to achieve the mutual conversion between the logic and algebraic expressions. The presented algorithms decrease exponentially the complexity of the semi-tensor product based method. Some numerical examples are given to demonstrate the algorithms and to compare our method with the existing ones.
Bacteria Detection: From Powerful SERS to Its Advanced Compatible Techniques

The rapid, highly sensitive, and accurate detection of bacteria is the focus of various fields, especially food safety and public health. Surface‐enhanced Raman spectroscopy (SERS), with the advantages of being fast, sensitive, and nondestructive, can be used to directly obtain molecular fingerprint information, as well as for the on‐line qualitative analysis of multicomponent samples. It has therefore become an effective technique for bacterial detection. Within this progress report, advances in the detection of bacteria using SERS and other compatible techniques are discussed in order to summarize its development in recent years. First, the enhancement principle and mechanism of SERS technology are briefly overviewed. The second part is devoted to a label‐free strategy for the detection of bacterial cells and bacterial metabolites. In this section, important considerations that must be made to improve bacterial SERS signals are discussed. Then, the label‐based SERS strategy involves the design strategy of SERS tags, the immunomagnetic separation of SERS tags, and the capture of bacteria from solution and dye‐labeled SERS primers. In the third part, several novel SERS compatible technologies and applications in clinical and food safety are introduced. In the final part, the results achieved are summarized and future perspectives are proposed.