Miracle-dz/UniFAR-FTUs huggingface dataset:
Carbon Dioxide Adsorption Equilibrium Rates Comparative Temperature Study Using Palm Kernel Shell Sorbent.

Greenhouse effect is the serious environmental issue whereby the gaseous component involved is dangerous. One of the gases that contributed to atmosphere is carbon dioxide (CO2), in which is more than 80%, followed by methane and nitrous oxide that resulted from human activities, industrial sector and transportation. Activated carbon (AC) is the best adsorption technology due to simple design and ability to capture carbon dioxide efficiently. This paper was aimed to produce activated carbon derived from waste material, to determine adsorption rate at different pressures and temperatures and to relate adsorption kinetics and isotherms equilibrium to describe adsorption processes. Palm Kernel Shell (PKS) was selected as raw material to produce AC. Char was produced via carbonization process at 700 °C ± 20 °C for 2 h with 10 °C/min heating rate under inert gas flow. The sample is then grinded and sieved to 0.65mm to 0.8mm, followed by chemical treatment by using potassium hydroxide with ratio of 1:1 and directly undergoing microwave treatment. Adsorption rate performances were investigated by different temperatures of 25 °C and 10 °C and pressures of 5, 15 and 25 bar. The sample were characterized by thermo-gravimetric analysis, surface area analysis, and ultimate analysis. AC-PKS shows the highest surface area. As a result, increase in pressure led to increase in CO2 adsorption while decrease in temperature in CO2 adsorption. In conclusion, the findings revealed that the potential of AC-PKS to capture CO2 in order to enhance environmental sustainability and economically.
Exploring Coping Strategies of Transfer Students Joining Universities From Colleges

Students transitioning from colleges to universities in the United Kingdom (UK) into the second or third year of an undergraduate programme must quickly adapt to a new learning environment and new expectations. The process of transition includes intense demands on their time and, for many, a requirement to commute. The consequence can be a limited university experience compared to those who began their studies in the traditional first year. With the increase in the numbers of transfer students studying at universities in the UK, this study was set up to explore the challenges of transition at two universities using an online survey and focus groups. Results show that transfer students cope with their transition to university in multiple ways, categorised into the following themes: learning expectations, peer support, online engagement, cue-seeking and efficiency. By supporting the use of these coping strategies, universities can facilitate a better student experience and enhance student success.
Effect of a thai folk recipe on phytochemical screening, antioxidant activities, and α-Glucosidase inhibition by different solvent extracts

Context: Thai traditional medicine (TTM) has been widely use to treatment of various diseases. Aims: The aims of this study were determined on phytochemical screening, antioxidations, and α-glucosidase inhibition by different solvent extractions. Materials and Methods: The five medicinal plants from a TTM recipe were extracted using aqueous, 50% ethanol and 95% ethanol. The phytochemical screening were determined on total phenolic (TPC) and flavonoid (TFC) contents. Their antioxidant activities were tested using by 2,2-diphenyl-1-picrylhydrazy (DPPH) radical scavenging assay, 2,2-azinobis-(3-ethylbenzothiazoline-6-sulfonate) (ABTS+) radical scavenging assay and ferric reducing antioxidant power (FRAP) assay. Glucose transferase mechanism was evaluated using by α-glucosidase inhibitory assay. Results: The results found that the recipe was ingredient with TPC and TFC. The aqueous extract (AE) (47.955 ± 0.256 mgGE/gExt) was significantly highest amount on TPC while, the ethanolic extract (EE) (1.988 ± 0.038 mgQE/gExt) was showed significantly highest amount on TFC. The antioxidations, DPPH, and the AE (IC50 =0.227 ± 0.005) were significantly more potent on free radical scavenging. ABTS+, AE (IC50 =0.148 ± 0.007), Hydro-ethanolic extract (HEE) (IC50 =0.161 ± 0.008), and EE (IC50 =0.151 ± 0.007) were not different on this method. FRAP, EE (12.681 ± 0.620 mgTE/gEt) were significantly more potent on cation radical reducing. The α-Glucosidase inhibitory activity, AE (IC50 =0.021 ± 0.002 mg/mL) and HEE (IC50 =0.076 ± 0.003 mg/mL) were significantly more potent on EE (IC50 =0.292 ± 0.010 mg/mL) and Acarbose® (IC50 =1.05 ± 0.110 mg/mL). Conclusion: The study confirms traditional use of a Thai folk herbal plants on antioxidation and α-glucosidase inhibition. The recipe was contained with also TPC and TFC might be more potential to antioxidant activities and anti-α-glucoxidase enzyme. Future study, we should be performed to clarify the mechanisms, major active compounds and in vivo.
Service Migration in Mobile Edge Computing Based on Reinforcement Learning

Mobile edge computing (MEC) provides users with cloud computing capabilities at the edge of the mobile network, which effectively reduces network latency and improves the experience of end-users. User mobility in MEC is a factor that cannot be ignored, and mobility management is an urgent problem to be solved. Service migration is an effective way to manage user mobility. However, it is not appropriate to perform migration too frequently due to expensive migration overhead. In this paper, we propose a service migration decision algorithm to decide whether to migrate or not when the user moves out of the coverage of the offloaded MEC server. Markov decision process (MDP) is used to model the service migration decision problem. We comprehensively consider the distance between users and services, resource requirements of the services, and resource availability of the MEC servers. On the premise of considering both migration costs and resource conditions, aiming at maximizing quality of service (QoS), the reward function of MDP is defined, and the migration decision strategy is solved by Q-learning algorithm. Finally, our proposed migration decision algorithm is validated by simulation.
Review of Different Combinations of Facial Expression Recognition System

The facial expression recognition (FER) system is a classifier system that attempts to recognize facial expressions based on the analysis of emotion behaviour on the face. The FER system can be implemented by using one classifier or combining multi feature extraction and/or multi classifiers. In general, FER is used with one classifier system to find the best label. Although a classification system is commonly used to find the most likely facial expression, it still produces substantial numbers of errors due to several factors that influence the FER result, such as data quantity, and environmental conditions (i.e. illumination and noise). Therefore, combined multi feature extraction methods and/or multi classifier systems are useful to avoid the single classifier errors. Multi feature extraction or a multi classifier system combination are used to take advantage of different system hypotheses to find an accurate result. This paper is a survey of the latest system combination techniques being used to enhance the classification performance in the FER system; the most recent studies are presented.
CEO Machiavellianism and Strategic Alliances in Family Firms

In this study, we build on upper echelons theory and insights from psychology to suggest that CEO Machiavellianism is manifested in the alliance behaviors of family firms. Specifically, we argue that more Machiavellian chief executive officers (CEOs) seek out strategic alliances—as doing so provides opportunities to manipulate, control, and exploit others—and that their tendency toward manipulative and controlling behaviors results in less sustainable alliances. We also argue that the effect of CEO Machiavellianism on the engagement and sustainability of strategic alliances is affected by operating in family firms. Since the owning family often intervenes and mitigates any concerns regarding the organization or its leadership, we argue that any concerns that alliance partners have regarding more Machiavellian CEOs will be weaker as family ownership increases; as such, we argue that as family ownership increases, the positive relationship between CEO Machiavellianism and strategic alliance engagement will be more strongly positive while the negative relationship between CEO Machiavellianism and alliance sustainability will be less strongly negative. Our study presents and tests a theory of how more Machiavellian CEOs affect the decisions surrounding strategic alliances by providing a novel antecedent of the decisions surrounding strategic alliances in family firms. We find support for our arguments with a sample of Standard & Poor’s 500 firms.
Detecting Malicious Domain Name Based on the Web Page Structure Similarity

: In order to detect the malicious domain name accurately, a method of detecting the malicious domain name based on the similarity of web page structure of Web document object model is proposed. The key is how to calculate the hierarchical similarities among web page structures quickly and effectively. This method first obtains the source code of the domain name and analyzes its DOM tree structure, constructs the DOM tree level tag attribute name sequence to describe the characteristics of the domain name's web page structure, and then defines the DOM tree distance based on the idea of Simhash algorithm to measure the similarity between the web page structures. Experiment shows that the method can detect the similarity of domain page structure effectively with high accuracy and recall rate.
Abnormal dielectric characteristics of PMN-32%PT single crystal under dc bias

The dielectric properties and phase transition behavior of the [001] and [111] oriented PMN-32%PT single crystal under the different dc bias (E) have been investigated as a function of temperatures. Under the application of dc bias ranging from 1.5 to 4.0 kV/cm, the dielectric spectrum of a [001] oriented single crystal showed an abnormal dielectric peak within the rhombic phase-stable temperature range. However, this peak disappeared at E> 4.0 kV/cm and was not yet found in the [111] oriented single crystal. The abnormal dielectric peak was attributed to the filed-induced phase transition.
Comparative Analysis of National Policies for Electric Vehicle Uptake Using Econometric Models

As electric vehicles (EVs) have been widely discussed as a promising way to mitigate the effect of climate change, various policies have been implemented across the world to promote the uptake of EVs. Policymakers also paid attention to the density of public charging points. In this paper, we examined the impact of policies on EV markets in the post subsidy era with multiple linear regression analysis using panel data on 13 countries from 2015 to 2018. Five of the independent variables showed significantly positive effects on the 1% level in different regression models: fast/slow charger density, mandate, purchasing restriction and waiver. Subsidies showed significance only on 5% level for battery electric vehicles (BEVs). Financial stimulates have experienced a declining marginal effect, whereas a high density of fast chargers has the most significantly positive effect on EV uptake. This paper suggests policymakers can invest more in completing the public infrastructures of EVs, especially on fast charging points.
A Geometric Approach to Archetypal Analysis via Sparse Projections

Archetypal analysis (AA) aims to extract patterns using self-expressive decomposition of data as convex combinations of extremal points (on the convex hull) of the data. This work presents a computationally efﬁcient greedy AA (GAA) algo-rithm. GAA leverages the underlying geometry of AA, is scalable to larger datasets, and has sig-niﬁcantly faster convergence rate. To achieve this, archetypes are learned via sparse projection of data. In the transformed space, GAA employs an iterative subset selection approach to identify archetypes based on the sparsity of convex representations. The work further presents the use of GAA algorithm for extended AA models such as robust and kernel AA. Experimental results show that GAA is considerably faster while performing comparable to existing methods for tasks such as classiﬁcation, data visualization/categorization.
Examining the Determinants of Privatization: The ASEAN Context

This paper examines the economic, political, and institutional determinants of the propensity of privatization, as well as the sensitivity of privatization, in the Association of Southeast Asian Nations (ASEAN) context over the observation period from 1988 to 2008, with the Asian Financial Crisis being the median point of the observation period. This is particularly to investigate the organic progression of the privatization of ASEAN nations as an isolated endogenous phenomenon. This paper, using a two-stage quantitative technique, aims to exhibit the novel, and to a degree inventive, insights that are unique to the context of ASEAN, as well as to identify the potential policy implications directed towards how ASEAN policymakers may steer their national development policies to manufacture the constructive economic, political, and institutional conditions needed to foster privatization processes. The findings indicate that GDP per capita, current account balance, and stock market capitalization are statistically the key moving parts that contribute to the propensity of privatization, as well as the sensitivity of privatization, in the ASEAN context.
The mitochondrial genome of a horntail wasp, Tremex fuscicornis (Hymenoptera: Siricidae)

Abstract The complete mitochondrial genome of a horntail wasp, Tremex fuscicornis, was analyzed prior to a systematic study on South Korean Siricidae. This species genome has a total length of 16,359 bp (GenBank accession number: MT425058), consisting of 13 protein-coding genes, 22 tRNA genes, two rRNA genes, and an A + T rich control region. The nucleotide composition is 41.8% T, 38.2% A, 14.3% C, and 5.7% G. The result of the maximum-likelihood analysis indicates that T. fuscicornis is a distinctive species in Siricidae, and this mitogenomic sequence can be used as a reference for phylogenetic studies on the superfamily Siricoidea.
Anomaly detection of power grid dispatching platform based on Isolation Forest and K-means fusion algorithm

It is very important to detect abnormal Access IP of power grid dispatching platform accurately and rapidly to ensure the safety of power production. An Isolation Forest and K-means fusion algorithm is proposed, which not only solves the deficiency of Isolation Forest only being able to detect anomalies in binary classification, but also solves the defect of Isolation Forest threshold setting based on artificial experience or prior assumptions by designing a threshold setting strategy for Isolation Forest anomalies. The Access IP data of the southern power grid dispatching platform is taken as an example to evaluate the proposed algorithm and model. Through control experiments, the effectiveness and advancedness of the algorithm are illustrated in terms of AUC-ROC curve, accuracy, recall, and F1 score.
Syllable structure and prosodic words in Early Old French

This paper presents a comprehensive analysis of the phonotactics of syllable rhymes based on all unique tokens in two Early Old French texts. Based on the data from this single, conservative variety, I develop Jacobs’ (1994) proposal that the Old French stress rule is underlyingly trochaic and that word-fiinal stress is caused by the presence of an empty-headed final syllable. I argue that this analysis can only be valid while words with final stress systematically end in a consonant that can, and often must, be parsed as the onset to an empty-headed syllable. Although this is not the case in most later varieties of Old French, the prediction is borne out by our data. I conclude by examining the implications of this analysis for the accentuation and phonotactics of monosyllables and for the study of prosodic change in Old French.
Implementation of Low Voltage Sub-Bandgap Voltage Reference in 90nm CMOS

The paper introduces a new low voltage design Sub-bandgap reference circuit consists of the MOSFETs and BJT subthreshold. The proposed sub-BGR circuit shall be implemented in a standard CMOS technology of 90 nm. The results achieved low power consumption in sub-BGR circuit and operated from 0.7v to 2v supply voltage. The simulation was carried out at voltage variations and temperature variation at range of -20°C-140°C on the cadence virtuoso using spectre simulator. Keywords—Subthreshold, voltage reference, Bandgap reference, Temperature coeffificient
Expression of Antioxidant Enzymes and Changes in Some Physiological Parameters Following the Short-term Heavy Metal Application in Wheat

The aim of this study was to investigate the changes of some biochemical parameters during the amelioration after period o short term treatment of wheat with arsenic, cadmium and lead. A decrease was observed in the experimental groups, in which 15 μM, 30 μM, and 60 μM (arsenic, lead, and cadmium) metal ion mixture was applied, in terms of the germination rate depending on the increased concentration, and a decrease was observed in the root and stem dry weights of the plants in all groups. MDA levels were determined to increase at all doses. It was determined that heavy metals accumulated by increasing in the tissues due to the increased concentration of heavy metals in the heavy metal ion-applied groups. There were significant changes in the expression levels of antioxidant enzymes. As a result, it was determined in the study that there were significant changes in some biochemical and physiological parameter’s which are the primary response to oxidative stress in plants exposed to heavy metals, depending on the stress. This reason it can be concluded that arsenic, lead and cadmium contents in media can be the responsible for growth inhibition.
EVOLUTIONARY BIOGEOGRAPHY AND THE REGIONALIZATION OF THE NEOTROPICS: A PERSPECTIVE FROM MAMMALS

Evolutionary biogeography aims to discover biogeographic patterns exhibited by plant and animal taxa and to assess the historical changes that have shaped the assembly of biotas. One of these biotas is found in the Neotropical region, which has been described, delimited and regionalized by several authors since the 19th century. Important contributions have been made by several mammalogists, who have identified geographic distributional patterns of mammals of the Americas and have contributed to different schemes of regionalization. Biogeographic regionalizations are based on the identification of endemic or characteristic taxa, constituting natural biotic hierarchies that synthesize the evolutionary/ecological history of the areas. According to the most recent biogeographic regionalization, the Neotropical region is composed by three subregions, two transition zones, seven dominions and 54 provinces.
Music-making and forced migrants’ affective practices of diasporic belonging

ABSTRACT Amid the normalisation of xenophobic narratives surrounding migration, and an overarching ‘hostile environment’ regulating asylum in Britain, this paper explores music-making as a unique lens to highlight the negotiation of belonging, uncertainty and marginality amongst a group of fifty forced migrants in Bristol. Through a focus addressing the nexus between power, affect and the everyday, this paper discusses how the dehumanising processes that characterise the British asylum regime operate in and through the spaces, bodies and objects constituting its ‘ordinary’ materiality. Concurrently, this paper addresses how the entanglement of bodies, ‘things’ and sounds emerging from the co-creation of weekly music groups enabled the group participants to negotiate pleasure, expression and sociality in a context of enforced marginality and uncertainty. Consequently, this paper discusses the music-making sessions as affective practices of diasporic belonging: relationalities arising from multiple forms of displacement that enabled momentary, but productive domains of sociability, co-presence and solidarity beyond ethnic, national, gendered and religious lines. The conclusions consider the contributions of theoretical approaches enabling researchers (and potentially advocates and community organisers) to recognise the stakes and significance of forced migrants’ (in)visible forms of sociality that take place beside the discursive and institutional frames of State and humanitarian interventions.
Learning Social Work through Role Play: Developing More Confident and Capable Social Workers

Role-plays are a staple teaching tool in social work classes that help students apply practice skills. Various uses of role-plays have been discussed in social work literature. Intensive simulated role-plays in which students practice skills over a series of weeks alternately acting as a social worker and a client, offers an opportunity to practice skills in greater depth. This small-scale research study examines undergraduate students’ perceived improvement of their interviewing skills through participation in an intensive simulation. Qualitative data were collected through surveys administered over three years. Results suggest that students learned by observing, receiving immediate feedback, and acting as a social worker. Findings also indicate that students valued the experience and felt it prepared them for practice with clients. Implications for teaching and undergraduate social work programs are discussed.
Bayesian Inference for Distributional Changes: The Effect of Western TV on Wage Inequality and Female Participation in Former East Germany

This paper investigates the evolution of wage formation in a Mincer model with sample selection for which we develop Bayesian inference and growth incidence and poverty growth curves. We estimate the effect of an exogenous exposure to Western TV broadcasts on labour market participation and wage inequality in East Germany after the German reunification. Using the GSOEP, we find evidences that Western television had significantly increased wage inequality among males while it has significantly affected female labour participation and led the less productive females to drop out from the market, hiding thus a large increase in wage inequality among females.
The spectral UV sensitivity of microorganisms used in biodosimetry

Biodosimetry, that is the application of microorganisms for the measurement of radiation, is already in wide use in the field of UV disinfection. The measurement of the mean fluence in flow-through systems with a biodosimeter (microorganisms with calibrated UV sensitivity) results in the Reduction Equivalent Fluence (REF). In the case of quasi monochromatic radiation (mercury low pressure lamp, 253.7 nm), the flow pattern of the water through the inhomogeneous radiation field, together with some other parameters, strongly influences the REF but the spectral sensitivity of the biodosimeter plays no role. If microorganisms with shouldered survival curves are used as biodosimeters two parameters (k and d) are necessary to describe their survival curves. In general, both parameters are wavelength dependent and the functions k(λ) and d(λ) must be known if medium pressure mercury lamps are used, which emit polychromatic UV radiation. The knowledge of k(λ) also is necessary for selecting an appropriate UV sensor which controls the function of the UV lamps during the operation of the disinfection plant. In literature many different spectral sensitivity curves were published but they all differ somehow. The functions k(λ) and d(λ) were measured for spores of Bacillus subtilis ATCC 6633 in using quasi-monochromatic UV radiation and the results were tested in using polychromatic UV radiation.