Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of governance on fiscal discipline and illicit financial flows in Nigeria

This research was conducted to investigate the impact of governance on fiscal discipline and illicit financial flows in Nigeria. The study employed time series data for the period of twenty-nine years (1990-2018). Pre-estimation tests were conducted to examine the stationarity of the time-series data. Thereafter, the Autoregressive Distributed Lag Model (ARDL) was adopted on the basis of the order of integration of the variables adopted. This study employs the ARDL as a dynamic causal model for its analysis. It has a finite number of lags in the explanatory variables. The adoption of the lag form of the model lies in the fact that variables, such as corruption, foreign debt, foreign direct investment and budget deficits have lagged impacts, we do not only intend to analyze their current effects but also their distributed or accumulated impact in the previous periods. The coefficients of the ARDL model show that there exists a positive relationship between governance, fiscal discipline and illicit financial flows in Nigeria. The study thus, recommends the strengthening of rule of law, institutions of participation and accountability, including access to public services, state intervention and policy reforms against corruption to ensure transparency and accountability in public service in Nigeria. Also, there should be effective management, control and monitoring of allocation to the electricity sector in order to ensure judicious use of government resources.
ANALISIS PENGARUH SERVQUAL TERHADAP KEPUASAN PELANGGAN PT. AMARTHA MANUNGGAL PRIMA CABANG PANGKALPINANG (STUDI KASUS PADA ID EXPRESS CABANG PANGKALPINANG)

The research method uses a quantitative descriptive approach. The data collected by distributing questionnaires to 93 respondents in this study were Pangkalpinang ID Express customers. The sample is determined by using purposive sampling technique. Data analysis used Validity Test, Reliability Test, Classical Assumption Test, Multiple Linear Regression Test, Simultaneous Test (F Test), and Partial Test (t Test) which were processed with JASP. The results show (1) Tangibles had no partial effect on customer satisfaction with a significance value of 0.815 > 0.05 and a tcount value of 0.235 < a ttable value of 1.66235. (2) Reliability has a partial effect on customer satisfaction with a significance value of 0.040 <0.05 and a tcount of 2.090 > of a ttable value of 1.66235. (3) Responsiveness has a partial effect on customer satisfaction with a significance value of <. 001 <0.05 and a tcount of 4.431 > of a ttable value of 1.66235. (4) Assurance has no partial effect on customer satisfaction with a significance value of 0.124 > of 0.05 and a tcount of 1.552 235 < of a ttable value of 1.66235. (5) Empathy has a partial effect on customer satisfaction with a significance value of <. 001 <0.05 and a tcount of 4.693 > of a ttable value of 1.66235. (6) Tangibles, Reliability, Responsiveness, Assurance, Empathy simultaneously influence customer satisfaction with a significance value of 0.001 <0.05 and fcount value 52.205 > than ftable value 2.71.
Online addictions are real: What are technology educators doing about it?

There are now five technological areas included in the New Zealand technology curriculum, two of which are based on digital technology. Like many other subjects, technology education encourages students to conduct research, consult with experts and design digital products. Increasingly, Generation-Z students use digital resources for learning, collaboration, and research, rather than face-to-face, phone, or letter communications, which are considered anachronistic. There is evidence that this improves the educational experience for most learners, but evidence for the impact on students and teachers who suffer from online and digital addictions is sparse. To ensure safe online practices for children, many countries have developed security guidelines and policies. Most of these efforts are aimed at keeping children safe from predatory interactions, preventing inappropriate content from reaching children, and minimising security breaches such as viruses, phishing, or scams. The strategies vary, but commonly include reducing screen time, implementing web security processes, and providing guidelines for parents and teachers. Generally, this protection focuses on protecting the user from others but not on protecting learners and teachers from themselves – particularly from compulsive online behaviours. With the recent advent of COVID and increased exposure to working, teaching and learning remotely, online and digital addiction issues have been exacerbated. It is now timely to consider options for supporting people suffering from digital addictions and those at risk. This article discusses some current trends and issues related to online and digital addictions and their implications for technology education students and educators
Corrigendum: Strength mobilization in clays and silts

The range of settlements implied by the range of M = 2 in the database (shown in Fig. 10) is calculated as 2.2 to 65.1 mm. At the upper end of this range there would be serviceability concerns for most structures. Increasing M to 3.5 reduces this range to 0.9–25.5 mm. The upper end of this range roughly corresponds to an upper limit on tolerable settlements. This further underlines the finding of the paper that a large mobilization factor is needed for settlement control if no knowledge of soil stress–strain behaviour is considered. The authors apologise to the readers of Canadian Geotechnical Journal for these mistakes in the original paper.
An empirical study on Indian crime web series and its effects

With the COVID-19 lockdown, the world has entered a new era of communication. Nowadays, everyone, including children, has access to smartphones, computers, tablets, and other devices that are connected to the internet. Web series have become extremely popular as a result of the easy access to OTT platforms made possible by this internet connectivity. Online series are not just becoming more and more popular; they have also been shown to be a form of addiction, as evidenced by the term “binge viewing,” where a viewer cannot stop after watching one episode and ends up watching the entire series. Binge-watching and web series are causing people to have more health and social behavior issues. The following essay attempts to analyze the social and psychological effects of the top five Indian crime web series. A survey of Indian viewers (N = 321) is conducted in addition to a content analysis of these web series, which looks at the qualitative component to provide empirical conclusions about the impact. The papers provide a comparative study as well as the formula for creating the content for these web series. The satisfaction that comes from watching these series has a significant impact on consumers, according to the survey results.
Policy Optimization for Waste Crane Automation From Human Preferences

This research introduces a novel approach to optimizing control policies for waste cranes operating at waste-to-energy plants. Although previous methods forced people to define evaluation functions for automation, such design works in actual environments can often be challenging due to limited sensors and design difficulties. This paper aims to establish a methodology that achieves automation by having people respond to interactive pairwise comparison queries, which is relatively simple compared to design work. On the other hand, considering such automation, it becomes imperative to address the increased sample cost associated with slow crane operation and the complexities of decision-making due to waste inhomogeneity. Our proposed Preferential Bayesian Policy Optimization (PBPO) optimizes control policies with a small number of queries using Preference-based Bayesian optimization (PbBO) and mitigates the difficulty of decision-making by providing human evaluators who have an option to skip queries. We also incorporate a query synthesis mechanism to enhance query efficiency that generates a new preference relation from the skipped queries. PBPO’s effectiveness was validated with a scattering task employed in previous studies. Experimental results with simulated evaluators show the effectiveness of the PBPO and query synthesis. Furthermore, results with actual human evaluators indicate that our proposed method performs as well as the Bayesian optimization (BO) method, which requires an evaluation function.
In-silico Study of Phytochemicals of Ethnobotanical Plant Cannabis sativa for Anti-Diabetic Potential

Ethnobotany is an applied multidisciplinary science in which we not only systemically study inter-relations between human and plant kingdom but also has applications in many fields, including food industry, climate change, biodiversity conservation, and human health. Ethnobotanical plants form an integral part of human life. Many medicinal and aromatic plants are used by locals and nomadic people, which come from a wild source. According to Atharva-Veda, Cannabis is one of the most sacred plants.Perfect development provides insurance for health and healthy life and maintains stability in the ecosystem. If we deeply observe our different traditions, we will find that every ritual shows the close relationship of humans with nature. There are a number of natural ingredients used for performing different rituals. Cannabis is the plant that is commonly known as “Bhang”. Cannabis has been traditionally associated with lord “Shiva” worship. There are various stories behind these rituals mentioned in various mythology books. In this research, we focus on this plant’s ethnomedicinal value and assessed the antidiabetic potential of Cannabis sativa, an ethnobotanical plant of Ranikhet tehsil, by in-silico method. Hence, we conducted molecular docking of phytochemicals with molecular antidiabetic targets, alpha-amylase. The aim of this paper is an in-silico study of the C. sativa’s phytochemicals on the glucose metabolism related to alpha-amylase. From our study, we hope to find potential phytochemicals which could be useful in treating diabetes problems
Resistance to cropping pressure of two New Zealand soils with contrasting mineralogy.

Changes in soil properties in response to cropping pressure were measured in 2 mineralogically contrasting New Zealand topsoils. Waiareka clay (Vertic Haplustoll) with >65% smectite clay was compared with Wakanui silt loam (Aquic Haplustept), which contains about 20% mixed or illite clays. Soil properties (0–10 cm) were assessed by changes in organic carbon (C) and nitrogen (N), pH, cation exchange capacity, Olsen P, microbial C, soil respiration, microbial functional evenness, mineralisable N, bulk density, unsaturated hydraulic conductivity, readily available and total available water, macro porosity and total porosity, particle density, and particle size distribution. Additional samples of the Waiareka clay soil were taken at 10–20 cm depth. Cropping pressure was estimated using a scale based on the number of years in crop v. those in pasture. The organic and biological status of the Waiareka pasture soil (0–10 cm) was greater than that of the Wakanui pasture, with contents of 5.1% organic C, 0.43% total N, 1429 microbial C (µg/cm3), and 123 mineralisable N (µg/cm3), compared with values of 4.0%, 0.31%, 795 µg/cm3, and 89 µg/cm3, respectively. Total and macroporosity, and total and readily available water, were also greater on the Waiareka pasture soil compared with the Wakanui pasture soil. Under cropping pressure, the Waiareka soil had marked declines in organic matter C and N, microbial C and soil respiration, microbial functional evenness, macroporosity, and available water. In contrast, the Wakanui silt loam showed little response to cropping pressure; mineralisable N declined slightly and particle density increased under cropping. We concluded that the initial properties of a soil were not good predictors of subsequent resistance to cropping pressure; and that soils with initially high status have the potential for proportionally greater decline.
Caracterización de la vía de señalización de LOVHK implicada en mecanismos de respuesta a estrés y virulencia en Brucella spp

Brucella spp. son bacterias Gram-negativas que pertenecen al grupo de las α-2- proteobacterias. Son el agente causal de la brucelosis, una enfermedad zoonotica que produce abortos e infertilidad en animales, y fiebre en humanos. Brucella es un patogeno intracelular facultativo, el cual reside en un nicho replicativo derivado del reticulo endoplasmico. Su capacidad de sobrevivir dentro de las celulas hospedadoras se debe a los diversos mecanismos que ha desarrollado para tolerar las distintas condiciones de estres presentes en el proceso de infeccion. Las bacterias pueden detectar y responder a cambios en el ambiente por medio de los sistemas de dos componentes, los cuales estan formados por una Histidina Quinasa sensora (HK) y un Regulador de Respuesta (RR). Previo al inicio de este trabajo, se caracterizo en Brucella abortus 2308 una proteina histidina quinasa (LOVHK), la cual posee un dominio LOV sensible a la luz azul, un dominio PAS, seguido de un domino HK. Cuando la proteina es iluminada con luz azul, el dominio LOV inicia un fotociclo, el cual promueve la autofosforilacion del dominio HK iniciando una cascada de transduccion de senales que culmina con un incremento en la virulencia de Brucella. En el presente trabajo se ha estudiado la via de senalizacion iniciada por LOVHK en Brucella abortus 2308. Por medio de ensayos de doble hibrido y experimentos de fosfotransferencias, se identificaron dos RRs como companeros de interaccion de LOVHK: PhyR y LovR. Los resultados in vitro sugieren que LovR podria funcionar como un sink de fosfato de LOVHK. Ensayos realizados in vivo sugieren que LOVHK, por medio de PhyR, contribuye a la activacion del sistema de Respuesta General a Estres (GSR- por sus siglas en ingles). Ademas, en ausencia de LOVHK la expresion de virB se encuentra alterada. Estos resultados sugieren que LOVHK podria participar en mas de una via de senalizacion intracelular. En resumen, los hallazgos del presente trabajo contribuyen al conocimiento del mecanismo de senalizacion de LOVHK y el efecto de dicha via en la virulencia de Brucella.
2D Material-Based MVS Model and Circuit Performance Analysis for GeH Field-Effect Transistors

This paper presents an improved multi-level simulation framework for 2D material-based nanoelectronics, which expands from device simulation, physics-based compact modeling, and circuit benchmarking, using the germanane (GeH) metal-oxide-semiconductor field-effect transistors (MOSFETs) as an example. The device simulation employs the non-equilibrium Green's function method to obtain the characteristics of 2D GeH MOSFETs for both n-type MOSFETs and p-type MOSFETs. A compact model based on the MIT virtual source model is then revised to capture the unique behaviors of 2D-material-based MOSFETs, including voltage dependency of virtual source velocity and drain-induced barrier lowering, as well as the effect of quantum capacitance. HSPICE circuit simulations are performed to analyze and optimize CMOS digital benchmark circuits. The case study demonstrates that 2D material-based transistors favor a different range of supply voltage and threshold voltage than their silicon counterpart, to achieve the optimal energy-delay product. The impact of contact resistance is also analyzed using the proposed framework. This study offers a seamless multi-level simulation approach to bridge the gap between nanoelectronics and circuit behavior, thereby advancing the understanding of materials, devices, and circuits comprehensively. The framework tailored for GeH MOSFETs provides accurate device-circuit co-optimization which can be easily extended to devices based on other 2D materials.
Basin-scale estimates of oceanic primary production by remote sensing - The North Atlantic

The estimation by remote sensing of annual primary production at ocean basin scales is illustrated for the Atlantic Ocean, using the monthly averaged Coastal Zone Color Scanner data for 1979. The principal supplementary data used were some 873 vertical profiles of chlorophyll and some 248 sets of parameters derived from photosynthesis-light experiments. This information was used to parametrize the local algorithm for calculation of primary production in 12 subregions of the entire domain for each of the four seasons. Four different procedures were tested for calculation of primary production. These differed according to whether the autotrophic biomass distribution was uniform with depth and whether the irradiance was resolved with respect to wavelength: the spectral model with nonuniform biomass was considered as the benchmark for comparison against the other three models. At particular locations and times, the less complete models gave results that differed by as much as 50% from the benchmark. After integration to basin scale, vertically uniform models tended to underestimate primary production by about 20% compared to the nonuniform models. At large horizontal scale, the differences between spectral and nonspectral models were negligible, a result that was believed to follow from mutual compensation of underestimates and overestimates, according to the local biomass, in different parts of the domain. Calculation of primary production is highly sensitive to the algorithm used to retrieve the biomass. The linear correlation between biomass and estimated production was poor outside the tropics, suggesting caution against the indiscriminate use of biomass as a proxy variable for primary production. The annual primary production for the Atlantic between 20°S and 70°N was 9 ± 3 Gt yr−1, higher than previous estimates made without reference to remotely sensed data. It is argued that the remote-sensing method is the method of choice for calculation of primary production at the ocean basin scale.
The Influence of Consumer Behavior on Purchasing Decision Process of Tokopedia E-Commerce Customers in Indonesia

Along with technological developments, especially in information and communication, the world is increasingly developing, one of which is the changes in the people's economy. This is supported by the development of e-commerce technology, namely business transactions conducted online. One such ecommerce is Tokopedia. With the increasing number of Indonesians using e-commerce services, it proves that the high public trust in Indonesia regarding the use of shopping services through e-commerce. Each community will choose e-commerce services based on the experience of each consumer in using ecommerce services. This study aims to determine and analyze the effect of consumer behavior on purchasing decisions on Tokopedia consumers in Indonesia. The research method used in this research is a quantitative method with descriptive-causality research. Sampling was carried out by using a nonprobability sampling technique used was purposive sampling with the number of respondents 100 respondents of Tokopedia consumers in Indonesia. The data analysis technique used is descriptive analysis and simple linear regression analysis. The results of the research is that consumer behavior has a significant effect on purchasing decisions.
Isotopic relationships of epigenetic Pb-Zn mineralisation in the Ventersdorp Supergroup near Douglas, Northern Cape Province

Hydrothermally altered and mineralised lavas of the ~2.7 Ga Ventersdorp Supergroup were sampled at two localities near Douglas (Kalkdam and Katlani). Propylitic alteration has affected some of the lavas (the dark coloured amygdaloidal type), while others (the light coloured amygdaloidal type), show signs of potassium metasomatism as well, representing at least two mineralisation events. A Rb/Sr age of 2014±38 Ma was obtained on clinochlore from the amygdales and whole rock samples. This is interpreted to be the age of the first hydrothermal alteration and main mineralisation of the lavas. Variable isotopic values for Sr and Pb suggest a complex provenance for the hydrothermal fluids, whilst a narrow range of δ34S in galena (−3.4 to −6.3‰) indicates a specific source region. Four fluid inclusion populations are dominated by a brine population (Tm = −12.9°C) with a model density of 1.07g/cm3 (Th = 117°C). The temperature of the fluid must have been ~270°C according to the chlorite geothermometer of Cathelineau. The temperature of entrapment implies a pressure of roughly 2 kb when the slope of the relevant isochore (1.07g/cm3) is taken into account. Fluids seem to have migrated along channelways that were provided during extensive fracturing such as along the Griquatown fault zone. This migration probably propagated from rocks of the Transvaal Supergroup (Griquatown and Kuruman Formations) into the underlying Ventersdorp lavas.
The construction of landscape mapping using GIS applications: the case of Cremona

espanolEl conocimiento de estructuras extraurbanas caracterizadas por complejas interdependencias informativas, por intensas estimulaciones urbanizadoras, por valores no tan concordemente apreciados y donde, ademas, tienen lugar indistinguibles maranas entre valores paisajisticos, vocaciones agricolas y presiones ambientales pretende siempre aplicaciones multivariadas en ambiente Geographical Information Systems; no es una excepcion el caso de Cremona, cuyo instrumento urbanistico general ha exigido el examen de un complejo escenario donde la alternancia de suelos y aguas y vegetacion representa la riqueza de la identidad fundamental de la agricultura padana. Del rico cuadro de conocimiento que emerge del censo y del analisis del banco de datos, ha sido posible redactar las cuatro cartas tematicas del paisaje: i) Carta de los valores morfologico ? estructurales urbanos; ii) Carta de los aspectos perceptivos del paisaje; iii) Carta de los valores simbolicos del paisaje; iv) Carta de los vinculos ambientales y de los limites del desarrollo urbanistico. Se llega asi a la Carta multidimensional de la sensibilidad paisajistica, respetando las normativas vigentes. EnglishMultivariate applications are always called when dealing with knowledge of suburban structures that are characterized by complex informational interdependencies, by intense urbanizing pressures, by values not as generally appreciated as they should be and in which inextricable intricacies exist between landscape values, agricultural vocations, and environmental pressures. The case of Cremona is no exception; its general plan performs a complex scenario to be examined in which the rich foundational identity of agricul-ture in the Po valley is represented by a succession of areas of land, water, and vegetation. Using the rich framework of knowledge that emerged from the census and analysing the database made possible the elaboration of four thematic maps of this landscape: (i) a map of its morphological/structural urban values (ii) a map of its observable structures (iii) a map of its symbolic values and (iv) a map of the environmental constraints and limits of settlement.
Modeling the Fate of Pollutants in the Tiahura Lagoon, Moorea, French Polynesia

There has been in the last 13 years a marked increase of tourism pressure on the lagoon of Tiahura, (Moorea Island, French Polynesia). This increase may degrade the reef ecosystem. In particular, it has been suggested that the macro algal blooms are caused by waste water discharge. A field and numerical study of the water circulation was undertaken in order to evaluate this impact. The results show the existence of trapping zones where pollutants may accumulate under certain meteorological conditions. To remedy the situation, sewage should be discharged offshore on the reef slope in 30 m depth or used on land.