Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALYSIS OF INCLUSIVE GROWTH IN POVERTY, UNEMPLOYMENT AND INCOME INEQUALITY IN WEST SUMATERA PROVINCE: PANEL ERROR CORRECTION MODEL APPROACH

This study investigates the determinants of inclusive growth in poverty, unemployment and income inequality in West Sumatera Province. This study uses time series from 2011-2017, while the cross section is 12 districts and 7 cities, which were analyzed by the panel error correction model. There are several important findings in this study. First, the results of the analysis for the long term are that inclusive growth in poverty is positively and significantly affected by health, education, investment and government spending. Meanwhile, inclusive growth in unemployment and income inequality is negatively and significantly affected by health, education, investment and government spending. Second, the results of the analysis for the short term are investment and government spending disrupts the balance of inclusive growth in poverty. Meanwhile, education and investment disrupt the balance of inclusive growth in unemployment and income inequality. Third, there is a long term balance on inclusive growth in poverty, unemployment and income inequality. Therefore, it is highly recommended for districts/cities governments in West Sumatera Province to intervene in the independent variables that have significant and disturbing effects in the short term, so that conditions of inclusive growth in poverty, unemployment and income inequality can be achieved optimally. Studi ini menyelidiki faktor-faktor penentu pertumbuhan inklusif pada kemiskinan, pengangguran dan ketimpangan pendapatan di Provinsi Sumatera Barat. Penelitian ini menggunakan deret waktu dari 2011-2017, sedangkan cross section adalah 12 kabupaten dan 7 kota, yang dianalisis dengan metode panel error correction model. Terdapat beberapa temuan penting dalam penelitian ini. Pertama, hasil analisis untuk jangka panjang adalah pertumbuhan inklusif pada kemiskinan dipengaruhi secara positif dan signifikan olehkesehatan, pendidikan, investasi dan pengeluaran pemerintah.Sedangkan, pertumbuhan inklusif pada pengangguran dan ketimpangan pendapatan dipengaruhi secara negatif dan signifikan oleh kesehatan, pendidikan, investasi dan pengeluaran pemerintah.Kedua, hasil analisis untuk jangka pendek adalah investasi dan pengeluaran pemerintah menganggu keseimbangan pertumbuhan inklusif pada kemiskinan. Sedangkan, pendidikan dan investasi menganggu keseimbangan pertumbuhan inklusif pada penganguran dan ketimpangan pendapatan. Ketiga, terdapat keseimbangan dalam jangka panjang terhadap pertumbuhan inklusif pada kemiskinan, pengangguran dan ketimpangan pendapatan meskipun dalam jangka pendek tidak mengalami keseimbangan.Oleh karena itu, sangat dianjurkan bagi pemerintah kabupaten/kota di Provinsi Sumatera Barat untuk melakukan intervensi pada variabel independent yang berpengaruh signifikan dan menganggu dalam jangka pendek, sehingga kondisi pertumbuhan inklusif pada kemiskinan, pengangguran dan ketimpangan pendapatan dapat tercapai dengan optimal.
Effect of Vaneless Diffuser Shape on Performance of Centrifugal Compressor

The influence of four different vaneless diffuser shapes on the performance of centrifugal compressors is numerically studied in this paper. One of the studied shapes was a parallel wall diffuser. Two others had the width reduced only from hub and shroud and the rest had the width reduced from hub and shroud divided evenly. Then the numerical simulation was employed and the overall compressor aerodynamic performance was studied. The detailed velocity and pressure distribution and energy loss within the centrifugal compressor with different diffuser geometries and different operating conditions were analyzed. The results revealed that shroud pinch significantly improved the overall compressor aerodynamic performance more than any other pinch types, and the best performance can be achieved by pinched diffusers under the design condition compared with pinched diffusers under the near surge condition or choking condition. The range of energy loss, namely the static entropy area in the compressor, become reduced with the above three pinches diffusers.
The effects of dialysis modalities on sexual hormone levels in male patients

Introduction: Low testosterone level is association with low quality of life and cardiovascular risk factors. The dialysis modality effects on testosterone levels remain unclear. To investigate the haemodialysis (HD) and peritoneal dialysis (PD) effects on male sexual hormones. Material and Method: Serum total testosterone (TT), free testosterone (FT), follicle-stimulating hormone (FSH), luteinizing hormone (LH), prolactin (PRL) and sex hormone-binding globulin (SHBG) were investigated. Serum TT below 3 ng/ml was considered a low TT. Sociodemographic data and an Index of Independence in Activities of Daily Living were recorded. Results: This study included adult male HD (n = 71) and PD (n = 24) patients. Age and dialysis duration were similar between groups. Serum TT and FT levels were significantly higher in the PD group (p = 0.01 and p = 0.05, respectively). There were no differences between the HD and PD groups with regard to SHBG, FSH, LH or PRL levels (p = 0.353, p = 0.858, p = 0.410 and p = 0.410, respectively). The number of patients who were capable of performing Index of Independence in Activities of Daily Living was higher in the PD group (p = 0.033) and with normal TT levels (p = 0.027). Binary regression analysis showed more favourable effects in the PD group on testosterone levels (OR = 4.659; 1.477–14.704 95% CI Exp B). Conclusion: PD has favourable effects on testosterone levels compared to HD. Mental and physical well being resulting from PD and its technique affect TT levels.
Common image gather conditioning using cycle generative adversarial networks

Seismically derived amplitude‐versus‐angle attributes along with well constraints are the base inputs into inverting seismic into subsurface properties. Conditioning the common image gathers is a common workflow in quantitative inversion and leads to a more accurate inversion product due to the removal of post‐migration artefacts. Here, we apply a neural network to condition the post‐migration gathers. The network is a cycle generative adversarial network, CycleGAN, which was designed for image‐to‐image translation. This can be considered the same problem as translating an artefact rich seismic gather to an artefact free seismic gather. To assess the feasibility of applying the network to pre‐stack conditioning, synthetic data sets were generated to train different networks for different tasks. The networks were trained to remove white noise, residual de‐multiples, gather flattening and a combination of the above for conditioning. The results show that a trained network was able remove white noise providing a more robust amplitude‐versus‐offset calculation. Another network trained using synthetic gathers with and without multiples assisted in multiple removal. However, instability around primary preservation has been observed so the network works better as a residual de‐multiple method. For gather conditioning, a network was trained with the unpaired artefact‐rich and artefact‐free training data where the artefacts included complex moveout, noise and multiples. When applied to the test data sets, the networks cleaned the artefact‐rich test data and translated complex moveout into flat gathers whilst preserving the amplitude response. Finally, two networks are applied to real data where a gather based on the well logs is used to quantify the match between the conditioned gathers and the raw gathers. The first network used synthetic data to train the network and, when applied to real data, provided a better tie with the well. The second network was trained with synthetic gathers whose properties were constrained by real seismic gathers from near the well. As anticipated, the network trained on the representative training data outperforms the network trained using the unconstrained data. However, the ability of the first network to condition the gather indicates that a sweep of networks can be trained without the need for real data and applied in a manner analogous to the way parameters are adjusted in traditional geophysical methods. The results show that the different neural networks can offer an alternative or augmentation to the existing geophysical workflow for conditioning pre‐stack seismic gathers.
Effects of 10-weeks strength training programme on pain intensity, muscle endurance and kinesophobia in patients with non-specific low back pain

The purpose of this study was to establish the effects of a 10-week strength training program on pain intensity reduction, muscle endurance and kinesophobia in patients with non-specific LBP in a tertiary health institution. This study was a pre-test, post-test control group design. A total of 53 patients with LBP participated successfully in the study. The anthropometric parameters were taken and pain intensity was measured using a visual analog scale in which the participants’ response to the level of pain was recorded; the fear of movement was measured with Tampa scale kinesiophobia Questionnaire and the muscle endurance with Sorensen back muscle endurance test for both the control and experimental groups before and following a 10-week muscle strength training program. Descriptive statistics of mean and standard deviation were used to summarize the anthropometric profile of the participants while inferential statistics of one-way analysis of variance (ANOVA) was used to test the hypotheses. The outcome of this study indicated that factors such as pain intensity and muscle endurance were found to significantly respond to muscle strength training program, and kinesiophobia did not significantly respond. It was concluded that muscle strength training program can substantially reduce the pain and increase the muscle endurance of patients with LBP. The study, therefore, revealed that the lumbar muscle strength training program is a key element in improving the pain and muscle endurance of patients with LBP.
Space-time variation of ciliates related to environmental factors in 15 nearshore stations of the Gulf of Gabes

Diversity and structure of ciliate communities in the Gulf of Gabes (Tunisia) were investigated based on a survey of 15 nearshore stations along 237 Km, by monthly sampling over a 1-year. Ciliated protozoa were identiﬁed to genus and/or species level and enumerated. Statistic tools were used to explain the ciliates assemblage. High ciliates species richness from 133 taxa was recorded, including new records of 76 species. This study showed a longitudinal distribution of ciliate communities, which are organized in northern stations (from Tabia to Harbor of Gabes) and southern stations (from Zarrat to Jabiat Haj Ali). The number of taxa increased significantly in northern stations but decreased in the southern. This distribution was mainly influenced by the salinity and phytoplankton abundance. Ciliate taxa were grouped into fives size-classes: 15-30 µm, 30-50 µm, 50-100 µm, 100-200 µm and >200 µm. In terms of abundance, most abundant size groups were small ciliates (15-30 μm) accounted from 15 to 79 %, while the greatest biomass contribution came from the 50-100 μm size classes. We thus conclude high diversity of ciliates communities that showed a geographical distribution influenced by abiotic and biotic factors along the coast of Gulf of Gabes.
Planned Behavior Theory in Paying Cash Waqf

The potential of Waqf in Indonesia which is in the movement of followers of the largest Muslim religion in the World that is equal to 85% since the days of Pre-Independence. The legal order in Indonesia that underlies the management of waqf is very complete than Zakat, Infaq or Alms. This completeness is manifested in Law No. 41/2004 concerning Endowments and Government Regulation No. 42/2006 concerning Implementation of Law No. 41/2004. Both legality in the form of regulations and the Law provide a more certain legal basis for increasing public trust and guarantee of waqf assets. It became the starting point for the management of waqf and the collection of waqf funds in Indonesia. This study uses a quantitative method design in identifying what factors influence people's intentions in carrying out cash waqf. Data collection is done through filling out the questionnaire then be processed the validity and reliability test of 50 people and then given to a sample of 200 people. Factors affecting the intention to fulfill cash waqf based on this research are Attitude, Subjective Norms and Behavioral Control. Third, the Attitude, Subjective Norm, and Behavioral Control variables together have a significant influence on the variables of waqf intentions on cash waqf. Attitude variable towards cash Intention variable is 4.62%, Subjective Norm variable is 2.88%, Behavioural Control variable is 8.5%. Therefore, it can be concluded that the most dominant effective contribution value influencing cash intention variable is the Behavioral Control variable that is 8.5%.
Assessment of Physico-Chemical properties and sewage pollution indicator bacteria in surface water of River Gomti in Uttar Pradesh

This study was aimed to estimate current status of Physico-chemical chararacterstics and level of sewage pollution indicator bacteria and their variation at whole stretch of river Gomti. The sampling covered from upstream to downstream regions of the river representing pre monsoon (Jan-April), monsoon (May-Aug), and post monsoon (Sept-Dec) in two years i.e. 2008 and 2009. Eight water samples are subjected to Physico-chemical analysis like Water temperature, Total Solids, Total Dissolved Solids, Total Suspended Solid, Conductivity, pH, COD, BOD and DO. The bacteriological study of these samples included bacteriological parameters like Total Coli (TC), Faecal Coli (FC) and Faecal Streptocoli (FS) has given the information regarding the suitability of the water for various uses like drinking and other domestic applications. The results are based on Spatial Variation, Seasonal Variation and Temporal Variation. Conclusions revealed that large number of drains in Lucknow city and industrial discharge is mainly responsible for pollution in river Gomti.
Communications of the Association for Information Systems Communications of the Association for Information Systems

: To be agile, organization need to be able to quickly reconfigure their internal resources in order to respond to changes occurring in their environment. In this paper, we draw on the theories of organizational routines and technology affordances to explicate the internal socio-technical “machinery”—the people, processes, and technology—that, in response to an external change, an organization must reconfigure and redirect to achieve new organizational imperatives. The paper contributes a novel multi-level theory that recognizes behavior at the human individual (micro-) level as a causal factor in the macro-level phenomenon of agility. We illustrate and validate the theoretical model with case studies that represent three large organizations that exist in dynamic business environments that demand agility. The research suggests that business processes in the organization evolve both via top-down design and bottom-up practice routinization and further that the need for flexibility drives the tension between them. By elucidating microfoundational mechanisms, the theory defines a stronger causality model for explaining organizational agility phenomena.
Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban locations that are enabled by community, technology, and policy to deliver productivity, innovation, livability, wellbeing, sustainability, accessibility, good governance, and good planning—has increased the demand for AI-enabled innovations. There is, nevertheless, no scholarly work that provides a comprehensive review on the topic. This paper generates insights into how AI can contribute to the development of smarter cities. A systematic review of the literature is selected as the methodologic approach. Results are categorized under the main smart city development dimensions, i.e., economy, society, environment, and governance. The findings of the systematic review containing 93 articles disclose that: (a) AI in the context of smart cities is an emerging field of research and practice. (b) The central focus of the literature is on AI technologies, algorithms, and their current and prospective applications. (c) AI applications in the context of smart cities mainly concentrate on business efficiency, data analytics, education, energy, environmental sustainability, health, land use, security, transport, and urban management areas. (d) There is limited scholarly research investigating the risks of wider AI utilization. (e) Upcoming disruptions of AI in cities and societies have not been adequately examined. Current and potential contributions of AI to the development of smarter cities are outlined in this paper to inform scholars of prospective areas for further research.
In Pursuit of Financial Well-being: The Effects of Financial Literacy, Financial Behaviour and Financial Stress on Employees in Labuan

The exposure to a plethora of choices and relatively complex financial products has intensified the need for financial knowledge adequacy in order to acquire the skills needed to make sound financial decisions. The study aimed to examine the effects of financial literacy and financial behaviour on respondents’ financial well-being and to assess the role of financial stress in mediating these relationships. Using a web-based online survey approach, a total of 213 employees in the government and private sectors in the Federal Territory of Labuan responded to the self-administered questionnaire via convenience sampling technique. All data were analyzed using Partial Least Square (PLS) version 3.0. This study found significant relationships between financial literacy, financial stress, and financial well-being. However, there was no significant correlation between financial behaviour and financial wellbeing. Subsequently, financial stress proved to have no mediating effect on predicting employee’s financial well-being in FT Labuan.
Comparative Analysis of New Zealand Campylobacter Isolates Using MLST, PFGE and flaA PCR RFLP Genotyping

Campylobacter jejuni and Campylobacter coli are the most commonly identified sources of campylobacteriosis in New Zealand, yet little is known about the distribution of genotypes within the respective population structures. Using multi-locus sequence typing (MLST), pulsed-field gel electrophoresis (PFGE) and flaA genotyping, the current study identified the distribution of genotypes within New Zealand C. jejuni and C. coli isolates from an outbreak situation, as well as isolates present in the ESR Campylobacter collection. Although the most commonly identified MLST genotypes were similar to international genotypes, a number of internationally rare, or unique to New Zealand genotypes were observed. One rare dominant genotype, ST-474, arising from a point source outbreak, was found to cause a large proportion of human campylobacteriosis cases in New Zealand. A unique cluster of New Zealand genotypes were isolated only from river water, identifying a potentially water adapted C. jejuni strain. Frequent homologous recombination and horizontal gene transfer events were identified within the seven housekeeping genes characterised in the New Zealand sample and the MLST C. jejuni/C. coli database. The identified genetic instability within the current study questions the legitimacy of bacterial species boundaries, especially when examining closely related species such as C. jejuni and C. coli.
Biotic and abiotic elicitation of phytoalexins in leaves of groundnut (Arachis hypogaeaL.)

Four weeks after inoculation with Cercospora arachidicola [Mycosphaerella arachidis], Phaeoisariopsis personata [M. berkeleyi] and Puccinia arachidis, groundnut leaves (cultivar TMV2) accumulated 1830, 664 and 162 nmol phytoalexins/g fresh weight, respectively. Leaves infested with Frankliniella sp. for the same period contained 1.25 nmol phytoalexins/g fresh weight. Spraying abraded leaves with salicylic acid (0.02M) resulted in the accumulation of 1270 nmol phytoalexins/g fresh weight. 120 hours after treatment and irradiation of abaxial leaf surfaces with UV light (254 nm) for 48 hours and incubation in the dark for a further 96 hours caused the accumulation of 393 nmol phytoalexins/g fresh weight. Compounds with UV spectra corresponding to isoflavanones were almost exclusively synthesized in response to abiotic elicitors but in leaves infected with fungal pathogens formononetin, daidzein and medicarpin were present as minor components.
Genetic evaluation for fertility traits in Polish Holsteins

Improvement of milk production traits has been a main breeding goal in the Polish Holstein cattle population. During the last 20 years, holsteinization and selection have led to an increase of milk yield but have caused unfavourable trends in reproductive performance. Fertility traits are considered very important because of their impact on the economics of dairy cattle breeding. The following consequences of low fertility were listed by Hodel et al. (1995): higher insemination costs, decrease of milk and meat production (fewer progeny born), increase in culling rate, and less intensive selection. About 20-30% of all culling has been due to fertility problems (Boichard and Manfredi, 1992; Hoekstra et al., 1994).
People in E-Cigarette Ads Attract More Attention: An Eye-Tracking Study.

Objectives Minimally regulated electronic cigarettes (e-cigarette) advertising may be one potential factor driving the increasing prevalence of young adult e-cigarette use. Using eye-tracking, the current study examined which e-cigarette advertising features were the most appealing to young adults as a first step to examine how e-cigarette advertising may be regulated. Methods Using a within-subjects design, 30 young adults (M age = 20.0 years) viewed e-cigarette ads in a laboratory. Ad features or areas of interest (AOIs) included: 1) brand logo, 2) product descriptor, and 3) people. During ad viewing, eye-tracking measured participants' dwell time and time to first fixation for each AOI as well as each ad brand. Harm perceptions pre- and post-viewing were measured. Results Participants spent the longest dwell time on people (M = 2701 ms), then product descriptors (M = 924 ms), then brand logos (M = 672 ms; ps < .001). They also fixated fastest on AOIs in that order. Participant sex significantly impacted dwell time of ad brand, and harm perceptions decreased after viewing the ads (ps < .05). Conclusions This study provides initial evidence about which e-cigarette ad features may appeal most to young adults and may be useful when designing evidence-based policy.
Variability studies for iron and zinc content on segregating population of rice.

More than half of the world's population, especially women and children in the developing countries suffer from micronutrient malnutrition especially deficiency in iron and zinc. Micronutrient malnutrition problems increased the interest of researchers to increase the mineral contents (Fe and Zn) in cereals to ensure adequate attainment of dietary minerals. A lot of variability does exist for micronutrients (Fe, Zn, Vitamin A, etc.) content and bioavailability in many crops including rice. The current study was conducted to assess the variability for iron and zinc content in dehusked rice grains to identify mineral-rich families. This study was conducted with the major objectives of analysis of genetic variability for grain iron and zinc content.