Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Interpretive Structure Modelling in Developing an Organic Farming Sustainability Strategy in Indonesia

This study determined key factors in developing a sustainability strategy for organic farming in Indonesia using Interpretive Structural Model. Data were taken using indepth interviews to stakeholders. Seven elements were identified: actor, core activities, obstacles, operational strategy, and the indicators of economy, social and environment. The connections between those specific elements that determined the problem or sub-problem were identified. A basic understanding of complex situations was developed to construct a corrective action to overcome the problems. Furthermore, the formulation of key factors in business strategies was established to increase the sustainability of organic farming in Indonesia Keywords: Organic farming; sustainability strategies, interpretive structure modelling.
An Improvement Approach Based on the Label Correlation for Automatic Image Annotation

Since the semantic gap between low-level visual features and high level-image semantic, the performance of many existing annotation approaches is not satisfactory. In order to bridge the gap and improve the annotation performance, in this paper, an improvement approach based on the measure of label correlation is proposed. According to proposed approach, we can easily measure the correlation between labels. The experimental results confirm that the proposed approach of label set based on the measure of label correlation can improve the efficiency of automatic image annotation systems and achieve better annotation performance than the existing Automatic Image Annotation (AIA) approaches. 
City Data Plan: The Conceptualisation of a Policy Instrument for Data Governance in Smart Cities

This paper presents the conceptualisation of the City Data Plan, a data governance policy instrument intended to connect the production and use of urban data in a comprehensive and evolutive long-term strategy aligned with city development goals. The concept of the City Data Plan had been elaborated by taking into account current issues related to privacy and manipulation of data in smart city. The methodological approach adopted to define the nature of a City Data Plan is grounded on the conceptual and empirical parallelism with corporate data governance plans and general urban plans, respectively aimed to regulate decision-making powers and actions on data in enterprise contexts, and the interests of local stakeholders in the access and use of urban resources. The result of this analytic process is the formulation of the outline of a City Data Plan as a data governance policy instrument to support the iterative negotiation between the instances of data producers and data users for instantiating shared smart city visions. The conceptualisation of the City Data Plan includes a description of the multi-stakeholder organisational structures for the city data governance, cooperation protocols and decision areas, responsibilities assignments, components of the plan and its implementation mechanisms.
Simulating Maritime Chokepoint Disruption in the Global Food Supply

The crops of wheat, maize, and rice make up almost two-thirds of the world’s dietary needs. Additionally, soybeans account for three-quarters of global livestock feed. Considering over half of the world’s exported supply of these commodities is exported via maritime means, the free flow of marine traffic becomes paramount. Current optimization models found in a number of studies involving food commodities lack the ability to capture the inherent variance in maritime transport. To capture this variance, a discrete-event simulation was built to understand how disruptions in this system impact those who rely on its unhindered functionality. Monthly export data are used, and the maritime chokepoints of the Panama Canal, the Suez Canal, and the Strait of Gibraltar are modeled for disruption. Results indicate significant food shortages for all importers studied. Marine traffic through the Strait of Malacca was also significantly impacted when any of the three chokepoints studied were closed.
Hidden Link Prediction in Criminal Networks Using the Deep Reinforcement Learning Technique

Criminal network activities, which are usually secret and stealthy, present certain difficulties in conducting criminal network analysis (CNA) because of the lack of complete datasets. The collection of criminal activities data in these networks tends to be incomplete and inconsistent, which is reflected structurally in the criminal network in the form of missing nodes (actors) and links (relationships). Criminal networks are commonly analyzed using social network analysis (SNA) models. Most machine learning techniques that rely on the metrics of SNA models in the development of hidden or missing link prediction models utilize supervised learning. However, supervised learning usually requires the availability of a large dataset to train the link prediction model in order to achieve an optimum performance level. Therefore, this research is conducted to explore the application of deep reinforcement learning (DRL) in developing a criminal network hidden links prediction model from the reconstruction of a corrupted criminal network dataset. The experiment conducted on the model indicates that the dataset generated by the DRL model through self-play or self-simulation can be used to train the link prediction model. The DRL link prediction model exhibits a better performance than a conventional supervised machine learning technique, such as the gradient boosting machine (GBM) trained with a relatively smaller domain dataset.
Acute and chronic metabolic responses of transition dairy cows with fatty liver disease to subcutaneous glucagon injections, oral glycerol, or both

This study examined the effects of multiple subcutaneous glucagon injections with or without co-administration of oral glycerol on energy status-related blood metabolites and hormones of Holstein dairy cows in the first two wks postpartum. Twenty multiparous cows were fed a dry cow ration supplemented with 6 kg of cracked corn during the dry period to increase the likelihood of developing postpartal fatty liver disease. Cows with a body condition score of ≥ 3.5 points (1-5 point scale) were assigned randomly to one of four treatment groups: saline, glucagon, glucagon plus glycerol, and glycerol. Following treatment, serial blood samples were collected over an 8-hr period to determine the effects of glucagon and/or glycerol on blood metabolites and hormones. Treatment effects were determined by comparing the concentration of metabolites and hormones during the 8-hr period after treatment administration (time 0) with the concentration of the same compounds at time zero on d 1, d 7, and d 13 postpartum. Glucagon alone tended to increase concentrations of plasma glucose on d 7 and d 13 postpartum (P = 0.07 and P = 0.06, respectively) and glucagon on d 13 (P= 0.08), and increased insulin on d 1 and d 7 (P = 0.04 and P = 0.01, respectively) and decreased concentrations of plasma nonesterified fatty acids (NEFA) on d 13 postpartum (P = 0.04) relative to the saline. Administration of glucagon plus glycerol increased and sustained postpartal plasma glucose on d1, d 7, and d 13 (P =
The Effects of Perceived Agile Culture of Chinese Enterprises on Job Performance: Focused on Moderating Effect of Individual Capability

The purpose of this study is to verify the effect of perceived agile culture(empowerment, continuous learning, personal communication Intensification) on job performance(task, contextual, adaptive) and to explore the moderating effect of individual capability(knowledge, skill). For the empirical analysis, data were collected from convenient sample of 219 employees working at enterprise in China. The analysis of validity and reliability of variables and regression analysis were performed using SPSS 21. The results of this research as followed: firstly, the positive perceived agile culture and job performance were statistically supported. Secondly, the individual capability played as a partial moderator on the relationship between the perceived agile culture and the job performance. The factors that constitute the perceived agile culture can present the research directions for the transformation into the agile organization
Concrete Sustainability Issues

Concrete continuous dominance as the building material of preference is as a result of its strength, durability, versatility and sustainability. But the large consumption of this material has put a danger on its sustainability as a large amount of natural resources are consumed annually. In addition, the production of concrete and its components is very energy intensive and contribute a large amount of carbon dioxide emission into the environment. As rapid urbanization is happening all over the world coupled with the increase in population, it is expected that the higher demand and production of concrete will ensue. Further increase in the production of concrete will lead to a consequential consumption of more resources and contamination of the environment. In order to ensure that the sustainable integrity of concrete is regained while meeting the continuous demand of concrete, it is critical to find ways in which the factors that pose a sustainability threat to this unique material can be eradicated. This paper explores the major sustainability issues related to concrete and some possible solutions to how these issues can be resolved. It was concluded that a more sustainable concrete can be produced in the future by finding alternatives to the current components of concrete and the introduction of greener technology for the construction process
The Long Shadow of the Global Financial Crisis: Public Interventions in the Financial Sector

We track direct public interventions and public holdings in 1,114 financial institutions over the period 2007–17 in 37 countries based on publicly available information. We use aggregate official data to validate this new dataset and estimate the fiscal impact of interventions, including the value of asset holdings remaining in state hands at end-2017. Direct public support to financial institutions amounted to $1.6 trillion ($3.5 trillion including guarantees), with larger amounts allocated to lower capitalized and less profitable banks. As of end-2017, only a few countries had fully divested the initial support they provided during the crisis. Public holdings were divested faster in better capitalized, more profitable, and more liquid banks, and in countries where the economy recovered faster. In countries where the government stake remained high relative to the initial intervention, private investment and credit growth were slower, financial access, depth, efficiency, and competition were worse, and financial stability improved less.
EMPLOYMENT OF ADVANCED APPROACH TO CONTROL INVENTORY LEVEL BY MONITORING SAFETY STOCK IN SUPPLY CHAIN UNDER UNCERTAIN ENVIRONMENT

In order to overcome uncertainty situation and inability to meet with customers' demand due to uncertainty, the organizations tend to keep a certain safety stock level. In this paper, the researcher used soft computing to identify optimal safety stock level (SSL), the fuzzy model uses dynamic concept to cope with high complexity environment status and control the inventory. The proposed approach deals with demand stability level, raw material availability level, and on hand inventory level by using fuzzy logic to obtain SSL. In this approach, demand stability, raw material, and on hand inventory are described linguistically and treated by inference rules of fuzzy model to extract best level of safety stock. The numerical dairy industry case study was applied with yogurt 200 gm cup product.
Assessment of hope in patients with cancer: development of an instrument.

: Hope has been identified as a vital component to individuals with cancer. This study focused on development of a reliable and valid instrument to measure hope following a stressful event as exhibited in a sample of well adults and a sample of patients with cancer. A review of the literature provided a conceptual framework for this study and the development of the Nowotny Hope Scale. Six dimensions of hope were identified and became the subscales for the instrument: confidence in the outcome, possibility of a future, relates to others, spiritual beliefs, comes from within, and active involvement. The sample consisted of 306 adults, both well and with cancer. Cronbach coefficient alpha for the scale was 0.90. Six factors were derived by principal components analysis. Study results established the instrument's initial reliability and validity. The hope scale, showing that hope is a measurable quantity, could be used in the assessment phase of the nursing process.
Post-occupancy interview report: key findings from a selection of Retrofit for the Future projects

Between May 2011 and July 2012, the UCL Energy Institute (UCL-Energy), working in partnership with the Institute for Sustainability, undertook a post-occupancy evaluation study on a sample of the projects funded by the Technology Strategy Board’s Retrofit for the Future (R4tF) programme in London.1 The core aim of the programme was to reduce the carbon emissions of existing homes by a minimum of 80% (Technology Strategy Board 2009) while providing affordable warmth for the occupants. Eight projects (comprising ten houses) were selected for the sample from the 25 London projects funded by the R4tF programme. House types chosen included semi-detached, detached and terraced properties built between the late 19th and late 20th centuries. Households were selected for social and economic diversity. This report presents analysis and findings from responses to semi-structured post-occupancy interviews with ten selected households (referred to as Cases A, B1–3, C, D, E, F, G and H in table 1). These interviews, undertaken between November 2011 and February 2012, aimed to explore occupants’ experiences of the retrofits, how the resulting thermal comfort compared with their previous experience, and their satisfaction with both their retrofitted homes and the R4tF programme. The findings reveal the occupants’ experiences before and after the retrofit process and their views on how the programme impacted on their daily lives and living conditions in terms of space, convenience, thermal comfort and health. The analysis has led to a number of insights. These insights are likely to be useful for small and medium-sized enterprises (SMEs) in the construction industry, policy makers, social housing providers and the academic community. Insights broadly cover the following areas: consideration of the characteristics and lifestyles of the occupants within the retrofit market (public or private sector); the engagement of occupants throughout the process; the strategies used to communicate and provide information directed at promoting opportunities for acceptance of and adaptation to new technologies; and, perhaps most important of all, developing a collaborative relationship with occupants in relation to feedback and maintenance of comfort and care of the new systems. In what follows, these insights are presented under a series of simple headings.
The role of institutions and networks in developing the bioeconomy : case studies from Ghana and Brazil

High yield gaps persist in sub-Saharan Africa and increased fertilizer use is considered among the crucial measures to increase productivity. Despite high government investments, particularly in fertilizer subsidy programs (FSP), overwhelming evidence has revealed their inefficiency. This study employs a multidisciplinary approach to identify the determinants of low maize yields in the Guinea savanna zone of Ghana. We conducted a socio-economic household survey and analyzed plot specific soil samples. Econometric models were estimated based on both socio-economic and soil variables. The results show that a common parasitic weed, striga, and labile soil structure have significant effects on yield in the study region. Plot sizes were recorded both from farmers’ direct elicitation and using GPS devices. Considerable discrepancies were detected between self-reported and GPS-measured plot sizes. Fertilizer samples from randomly selected agro-input shops were analyzed to control for adulterated or fake inputs. The measured nutrient contents of the samples reflected the composition indicated on the package labels. Findings underline the need of site-specific data collection, supported by laboratory-based soil test results, to efficiently address low productivity. Although there are no signs of fertilizer adulteration, governance challenges persist in the targeting, timing and elite capture in the distribution system of the subsidy program. The study shows that the FSP has not been an effective standalone measure. Rather, the government needs to invest in capacity building and extension services to address the sitespecific problems through comprehensive soil fertility management techniques and weed control. Promoting soil carbon management, minimum mechanical stress, crop rotation, and permanent soil cover should be further investigated as options for the region.
Role of physical exercise in reducing depression and improving mental health in cancer survivors

iii DECLARATION . vi ACKNOWLEDGEMENTS . vii CONFERENCE PRESENTATION, COMMUNITY ENGAGEMENT, AND AWARDS FROM THIS RESEARCH . viii Oral Presentations . viii Poster Presentations . viii Community Engagement . viii Awards . viii TABLE OF CONTENTS . ix TABLE OF FIGURES . xiii TABLE OF TABLES . xv CHAPTER ONE . 1 1.
Study on the Trade Impact of Transportation Infrastructure Construction on ASEAN Free Trade Area

The level of transportation infrastructure construction plays an increasingly prominent role in international trade. This paper chooses the cross-sectional data of ASEAN Free Trade Area in 2017 and introduces the variables of transport infrastructure on the basis of Trade gravity model to analyze the synergy between transport infrastructure and trade. It further analyzes the promoting role of Economic Integration. The empirical results show three aspects results. The first is that the boundary effect of ASEAN Free Trade Area ranges from 11 to 34. the second is there is a positive relationship between the transport infrastructure and the trade volume of ASEAN Free Trade Area. The third is that the more developed the transport infrastructure, the lower the boundary effect, thus promoting the development of ASEAN regional economic integration.
Are Black Friday Deals Worth It? Mining Twitter Users’ Sentiment and Behavior Response

The Black Friday event has become a global opportunity for marketing and companies’ strategies aimed at increasing sales. The present study aims to understand consumer behavior through the analysis of user-generated content (UGC) on social media with respect to the Black Friday 2018 offers published by the 23 largest technology companies in Spain. To this end, we analyzed Twitter-based UGC about companies’ offers using a three-step data text mining process. First, a Latent Dirichlet Allocation Model (LDA) was used to divide the sample into topics related to Black Friday. In the next step, sentiment analysis (SA) using Python was carried out to determine the feelings towards the identified topics and offers published by the companies on Twitter. Thirdly and finally, a data-text mining process called textual analysis (TA) was performed to identify insights that could help companies to improve their promotion and marketing strategies as well as to better understand the customer behavior on social media. The results show that consumers had positive perceptions of such topics as exclusive promotions (EP) and smartphones (SM); by contrast, topics such as fraud (FA), insults and noise (IN), and customer support (CS) were negatively perceived by customers. Based on these results, we offer guidelines to practitioners to improve their social media communication. Our results also have theoretical implications that can promote further research in this area.
The effectiveness of nutrition education and implications for nutrition education policy, programs, and research: a review of research

Key journals in the appropriate fields, and references of articles and reviews were handsearched. Reports and additional information were obtained from federal and state agencies, national voluntary, professional, educational, and non-profitmaking organisations, private foundations, and trade and advertising associations. Key individuals in each of the relevant fields were contacted for additional material.
Consumer Behavior on the Policy of Banning the Use of Plastic Bag in Kuantan

By and by, natural issues sway our everyday lives. It is important to battle the difficulties that come as unnatural weather change issues. Among marker components of an Earth-wide temperature, boost is waste created from plastic sacks. Plastic sacks have turned into a significant device for controlling nature, and its impact is tremendous. With expanded ecological issues brought about by plastic sacks throughout the most recent decade, biodegradable plastic packs (BPBs) seem like an ideal arrangement as they are intended to disintegrate totally, without leaving a reasonable impression. Consequently, the fundamental target of this venture is to expand mindfulness among buyers to supplant plastic sacks to BPBs. This is an examination that incorporates a quantitative research way to deal with distinguish key vital elements that impact the utilization of BPB among purchasers. The hypothesis of arranged conduct, by (Ajzen and Maden, 1986) will be utilized in this investigation. As a huge yield, this investigation centers around the standards of green living practices to locate the option of assets that can help accomplish better regular habitat objectives.
Impact of Pension Plan Risk on Cost of Debt and Equity in Companies with Pension Plan Assets

This study analyzes the effect of pension plan risk on cost of debt and equity in companies with pension plan assets based on the value of pension liabilities, the difference between value of pension assets and liabilities, and the difference between risk of pension assets and liabilities. 177 observations consisting of Non-financial companies listed on Bursa Efek Indonesia from 2012 to 2014 were included in the study. From the study, it was shown that there is no significant effect of pension plan risk on cost of debt and equity based on all the three measurements. Investors and creditors in the Indonesian capital market had low information on pension plan risk, therefore they do not account for such risks when making investment decisions. Keywords—Pension plan risk, cost of debt, cost of equity