Miracle-dz/UniFAR-FTUs huggingface dataset:
The impact of non-communicable diseases on employment status in South Africa

Abstract The study examines the impact of non-communicable diseases (NCDs) and employment status in South Africa utilising the National Income Dynamics Study longitudinal data from 2008 to 2017. The Generalized Linear Latent and Mixed Methods (GLLAMM) were employed to fit the multinomial logit model with correlated random intercept over panel multinomial logit without random effects to control for unobserved heterogeneity between individuals or intercepts. The empirical results indicate that the significant impact of NCDs on employment status differs by gender. NCDs were found to be most threatening to women employment status. The odds of women being economically inactive in the labour market are highly associated with NCDs. Further, having multiple NCDs also significantly increases the women’s probability of being economically inactive population relative to being employed. The results highlight the necessity for undertaking a massive awareness campaign regarding the prevention and control of NCDs, especially among women.
Complexity and uncertainty in human and ecological risk assessment

s, Posters and Selected Presentations: Matthew J. Dellinger, Timothy Ehlinger, Michael Carvan, and Jesse Jensen. 2012. Zebrafish Sediment Contact Assay as a Novel Tool for Integrating Human Health and Ecological Risk Assessment. Poster for May 3, CEHSCC All Investigators Gathering Timothy Ehlinger, Matthew Dellinger, and Lucia Tofan. Neural Networks, Pattern Analysis and the use of Ecological Approaches to Inform Human health Risk Assessment. Presentation: June 21, 2012, BENA 2012 Istanbul Conference. Matthew Dellinger. 2011. Using Effect-Directed Analysis in a Watershed-Based Risk Assessment. Presentation: July 12, 2011 Children’s Hospital of Wisconsin, Cardiology Team Research Focus- Group Matthew Dellinger, Timothy Ehlinger, Rebecca Klaper and Joel Weinberger. 2010 Chemicals of Emerging Concern and the Great Lakes: Bibliographic Review and Discussion. Presentation to Health Professionals Task-Force: April 26, 2010 Matthew Dellinger. 2009. Using Translational Research to Create Culturally Relevant Fish Consumption Advisories. Invited Presentation at National Institute for Minamata Disease: Minamata, Japan May 15, 2009 John Dellinger, Rick Haverkate, Andrew Hickey, Matthew Dellinger, David Pritchard, Alison Farmer, Sarah Vignavong and David Petering. 2008. ‘Eat More Fish but Choose Wisely’ Risk Reduction Strategy for Michigan Anishnaabe Tribes: Preliminary Evaluation of DVD. Poster presented at Native American Health Research Conference: Portland, Oregon August, 2008 Matthew Dellinger, John Dellinger, Rick Haverkate, Mike Ripley, Nicia Lemoine. 2006.From the Lab to the Community: Helping Tribal Members Choose the Safest Fish to Eat.Abstract and poster for Annual Indian Health Service Research Conference: Albuquerque, NM. Michael Carvan, Matthew Rise, Matthew Dellinger, John Dellinger, Daniel Weber. 2006.The Effects of Developmental Methylmercury Exposure in Zebrafish: The Potential Influences of Maternal Diet on Early Lifestage Toxicity. Abstract for 2006 Mercury Conference: Madison, WI. Daniel Weber, Michael Carvan, Matthew Dellinger, Leigh Smith, Frederick Williams. 2006. Behavior as a Tool to Asses the Effects of Developmental Methylmercury in Zebrafish. Invited Poster at EPA Science Forum, May, 2006, Washington, DC (2nd Place Award)
Japan in Singapore: Cultural Occurrences and Cultural Flows

The Japanese impact on Southeast Asia has been profound, not only in terms of economic presence, but equally in terms of an increasingly visible cultural presence. Food, fashion, TV, film, religion, sport, popular music, ideas about management and social relationships and even local literatures have been profoundly impacted by the flows of cultural influences from Japan. This volume examines these flows and their consequences in Singapore, a Southeast Asian society in which the Japanese presence is so visible as to make it a regional paradigm for a study of cultural influence in the region.
Aplicación del modelo de Témez a la determinación de la aportación superficial y subterránea del sistema hidrológico Cornisa-Vega de Granada para su implementación en un modelo de uso conjunto

We describe an application of the Témez model to calculate total water influx in a natural regime and its division into its surface and groundwater components. We also suggest a suitable way of integrating the data series obtained into the SIMGES conjunctive use code. The literature offers a considerable number of precipitation-runoff models for calculating the total influx into a basin. Within this context the Témez model is a relatively simple code which in certain cases has decided advantages over more complex ones, as we point out in this paper. For a better understanding of this model, we include an annex showing its mathematical basis. We used the Témez model to calculate the surface and groundwater influx into the Cornisa-Vega de Granada water system, which comprises 25 river sub-basins, 5 reservoirs and 23 aquifers, meaning that the interrelation between surface water and groundwater is quite complex and difficult to assess. In addition to this, some points of the series are quite difficult to calibrate because the natural regime of the water system is being considerably altered by human activy. We analyse the four parameters used in the Témez model together with the factors affecting both its calibration and the reliability and uncertainties of the results deriving from its application.
A meta-analysis of determinants influencing bank employees’ satisfaction

Job satisfaction is an important factor in the success of any organization, and the banking industry is no exception. This study conducted a meta-analysis of 34 empirical studies to identify the key factors that influence job satisfaction among bank employees. The results showed that seven factors were most frequently cited as important: leadership, intrinsic motivation, reward, organizational commitment, work ethic, HRM activities, and working conditions. These factors were all found to have a positive impact on job satisfaction, with leadership having the strongest effect. The meta-analysis also found that the effect sizes of these factors were relatively large, indicating that they have a significant impact on job satisfaction. This suggests that banks can improve job satisfaction among their employees by focusing on these factors. For example, banks can provide employees with strong leadership, offer competitive rewards, and create a positive work environment. By doing so, banks can boost employee morale and productivity, which can lead to improved customer service and financial performance.
Impact of agricultural cooperatives on the food security status of households in Oromia regional state, Ethiopia: The case of Halu Woreda

Abstract Agricultural cooperatives are considered as an institutional instrument for supporting smallholder farmers and contributing to poverty alleviation and food security. However, empirical literature and practices on the ground are mixed and inconclusive. The main purpose of this study is, therefore, to analyze the impact of agricultural cooperatives on households’ food security status in the context of Halu Woreda. The study employed a quasi-experimental research design to estimate the impact of such collective organizations on food security. Primary data were collected from 260 rural households drawn via a stratified random sampling technique. A variety of impact estimation models were employed to check the robustness of the results. The findings revealed that being a cooperative member is determined by a combination of factors, including the sex and age of the household head; access to farm inputs, credit, and training; and the welfare status of the household head. The findings also showed that agricultural cooperatives have a statistically significant positive impact on the food security status of households. It is concluded that agricultural cooperatives are effective in improving the food security status of the households in the study area. Therefore, regional rural development policy and strategy should focus on strengthening and genuinely supporting the existing agricultural cooperatives while encouraging the establishment of new ones through an inclusive approach in ways that directly address poverty and food insecurity. By highlighting the implications of the impact of agricultural cooperatives on food security, this article contributes to the ongoing debates on the potential benefits of such associations to farmers’ livelihoods in rural areas.
Development of a Short-duration Chickpea for the Subtropics

A new short-duration, early chickpea cultivar ICCV 96029 was developed and tested in comparison with long duration control cultivars in Hisar, Haryana, India in 1997/98 and 1998/99. This cultivar flowered and matured earlier than the controls, and its reproductive phase was longer by 7-13 days, resulting in the development of better sink for higher harvest index. ICCV 96029 produced pods in January, while control cultivar Pant G-114 started podding only in February.
Cereal–forage rotation facilitates the colonization of particular rhizobacteria to improve crop productivity

Cereal–forage rotation is a crucial advantageous agricultural measure to accelerate sustainable agricultural development. However, the interaction mechanisms of crop productivity with soil characteristics and soil microbiome under this rotation regime remain controversial, leading to large uncertainties in assessing the stability of agroecosystems. The aim of this study is to investigate the effects of cereal–forage rotation on the rhizosphere microbial communities, soil properties, and crop productivity as well as the complex relationships among them. To achieve this, the rhizosphere soils of maize and alfalfa were collected from a field experiment with different cropping systems (rotation and monoculture systems of alfalfa or maize) to analyze the microbial communities and further to evaluate their roles on participating in soil nutrient cycling and improving crop productivity. Cereal–forage rotation significantly affected the microbial community compositions rather than diversities in rhizosphere soils, resulting in obvious changes of interspecific interactions. The increased alterations of crop productivity were more correlated with the shifts in bacterial community rather than fungal community, which was actuated by soil pH. Some bacterial recruitment under rotations was observed, primarily showing potential phosphorus cycling and nitrogen assimilation functions. Specifically, the accumulated beneficial rhizobacterial taxa included those with potential antagonistic activities (e.g., Brevundimonas, Gemmatimonas, Lysobacter, Pseudonocardia, and Pseudomonas) and positively responding to biological anabolism (e.g., Luteolibacter, Hyphomicrobium, and Sphingomonas). Such findings reveal that cereal–forage rotation could effectively shape rhizosphere soil microbial community structure and particularly lead to the recruitment of a group of salutary rhizobacteria, which would positively provide some valuable theoretical bases for the developments of high‐quality and high‐yield agriculture.
The World of Organic Agriculture 2005 - Statistics and Emerging Trends

According to the study, currently more than 26 million hectares of farmland are under organic management worldwide. This is more than two million hectares more than in the previous year. In terms of organic land, Australia leads pack with 11.3 million hectares, followed by Argentina (2.8 million hectares) and Italy with more than one million hectares. Regarding the share of organic farmland in comparison with the total agricultural area, Austria, Switzerland and Scandinavian countries lead the way. In Switzerland for example more ten percent of the agricultural land is managed organically. In 2003, the market value of organic products worldwide reached 25 billion US$, the largest share of organic products being marketed in Europe and North America. For the upcoming years.
Information Gain Berbasis Algoritma Naive Bayes Classifier Pada Pemodelan Prediksi Kelulusan

Salah satu permasalahan yang dihadapi institusi perguruan tinggi adalah tidak tepatnya waktu kelulusan mahasiswa. Setiap tahunnya, jumlah mahasiswa yang mendaftar tidak sebanding dengan jumlah lulusannya. Hal tersebut yang menjadi tugas program studi dalam memantau akademik mahasiswanya. Program studi perlu memiliki acuan untuk mengantisipasi mahasiswa yang berpotensi tidak lulus tepat waktu. Dewasa ini, banyak sekali metode untuk menyelesaikan berbagai permasalahan teknologi informasi salah satunya dengan data mining. Salah satu teknik dalam data mining yang dapat digunakan untuk memprediksi waktu kelulusan adalah klasifikasi dan salah satu algoritma klasifikasi adalah Naive Bayes Classifier (NBC). Penelitian ini menggunakan algoritma NBC dengan memanfaatkan seleksi fitur Information Gain dalam memprediksi waktu kelulusan mahasiswa. Tujuan dari pemanfaatan seleksi fitur sendiri adalah untuk mengurangi tingkat kompleksitas dan meningkatkan akurasi serta mampu mengetahui fitur-fitur apa saja yang paling berkontribusi terhadap tingkat akurasi. Hasil pengolahan dataset pada RapidMiner dengan menerapkan algoritma NBC dengan seleksi fitur Information Gain menunjukkan peningkatan akurasi dibandingkan dengan menggunakan standar NBC.
A Succession of Eyes: Building an E-learning City

This paper describes the theoretical underpinning and form of Dwellings, an online learning environment based on the dynamics of cities. Dwellings was built to help to discover whether the features that enable a city area to thrive might also be beneficial in e-learning. It employs a wide assortment of social navigation features that allow learners to influence and be influenced by others. The results of a brief study of its use are described, suggesting that the environment goes some way to achieving one of its main goals, to improve group cohesion. It enables security of the sort found in thriving city areas, a safety born from what, in ‘The Death and Life of Great American Cities,’ Jane Jacobs describes as a “succession of eyes. ”
Self-Adjuvanted Nanovaccines: Concept and Applications

The goal of modern vaccine development is to provide effective vaccines that are safe and well-tolerated. This has inspired the rational design of contemporary subunit vaccines that are both safe and well-characterized, combining essential immunogenic components of pathogen characteristics to induce tailored responses with the right strength, quality, and specificity. Because of their capacity to overcome biological barriers, prolong circulation periods, and create an improved long-lasting protective immunological impact, nano vaccines have been researched as an emerging field in cancer immunotherapy in recent years. Nanotechnology is a broad discipline that can be applied to a variety of fields, including vaccines. It offers a variety of approaches to vaccine administration. A combination of nanotechnology and vaccines, i.e. nanovaccines can be created and injected into the human body to improve health by various mechanisms. Many vaccines contain adjuvants, which boost immunity to vaccines and experimental antigens through several methods including the development of a depot, the activation of cytokines and chemokines, the recruitment of immune cells, the enhancement of antigen absorption and presentation, and the promotion of antigen transport to draining lymph nodes. Such adjuvants have also been reported to induce innate immune responses at the injection site, resulting in a local immuno-competent microenvironment. This review focuses on the study of Self-adjuvanted nano vaccines. Key words: Adjuvants, self-adjuvant, vaccines, nanoparticles.
Extortion, Civic Action, and Political Participation among Guatemalan Deportees

Abstract How do deported migrants engage in civic and political life after being forcibly returned to their home countries? Do experiences during the migration journey impact how deportees (re)engage? We explore how extortion experienced during migration alters political and civic engagement preferences. We utilize a multi-method approach combining original survey data of Guatemalans deported from the United States and a series of qualitative deportee interviews. We find that extortion during migration has a significant direct effect on increased citizen engagement. Economic hardship exacerbated by extortion may mediate this effect. Overall, extortion experienced while migrating has long-term financial consequences for deportees, with implications for their reintegration and the broader health of civic institutions in their home countries.
Ultrafast and Large-Scale Fabrication of PEDOT:PSS Nanofilms Using Electrical-Field-Assisted Direct Ink Deposition

The importance of conductive polymers has significantly increased over the decade due to their various applications, such as in electronic devices, sensors, and photovoltaics. Poly(3,4-ethylene dioxythiophene) polystyrene sulfonate (PEDOT:PSS) is one of the most successfully and widely used polymers in practical applications. Spin coating is extensively used to fabricate these conductive films; however, it has disadvantages. It is inherently a batch process with relatively low output and high solution wastage. To address these issues, we developed a novel printing process called electrical-field-assisted direct ink deposition (EF-DID), which yields a continuous, homogenous film with high electrical conductivity. In this process, we studied the formation of nanodroplets under an electrical field and their effects on film characteristics. Furthermore, dimethyl sulfoxide (DMSO) was considered as an additive solvent to increase the conductivity and wettability of the films. We then compared EF-DID-printed PEDOT:PSS films with spin-coated films to better understand the film properties. Finally, inverted perovskite solar cell devices were fabricated and compared, where the PEDOT:PSS layers were prepared by EF-DID printing and spin coating. Based on the experimental results, a solution of 20% PEDOT:PSS in DMSO (vol/vol) printed by EF-DID for 15 s provided optimal morphology.
A Malicious Code Detection Method Based on Stacked Depthwise Separable Convolutions and Attention Mechanism

To address the challenges of weak model generalization and limited model capacity adaptation in traditional malware detection methods, this article presents a novel malware detection approach based on stacked depthwise separable convolutions and self-attention, termed CoAtNet. This method combines the strengths of the self-attention module’s robust model adaptation and the convolutional networks’ powerful generalization abilities. The initial step involves transforming the malicious code into grayscale images. These images are subsequently processed using a detection model that employs stacked depthwise separable convolutions and an attention mechanism. This model effectively recognizes and classifies the images, automatically extracting essential features from malicious software images. The effectiveness of the method was validated through comparative experiments using both the Malimg dataset and the augmented Blended+ dataset. The approach’s performance was evaluated against popular models, including XceptionNet, EfficientNetB0, ResNet50, VGG16, DenseNet169, and InceptionResNetV2. The experimental results highlight that the model surpasses other malware detection models in terms of accuracy and generalization ability. In conclusion, the proposed method addresses the limitations of traditional malware detection approaches by leveraging stacked depthwise separable convolutions and self-attention. Comprehensive experiments demonstrate its superior performance compared to existing models. This research contributes to advancing the field of malware detection and provides a promising solution for enhanced accuracy and robustness.
Intelligent Security System in A Campus Building Using RFID to Improve Security for Elevator Users

This study aims to develop an intelligent system of elevator access with RFID (Radio Frequency Identification) using fuzzy logic as an intelligent system, a safety controller of elevator doors that will open when the power goes out. This research made an Arduino Uno-based elevator access system with an RFID card using fuzzy logic as an intelligence system and markers for each floor. Each floor has an RFID card that contains the information data of each floor. This research uses research and development (RD) methods with a waterfall development model. The research procedure consists of several stages, namely the requirement analysis stage, design, implementation, testing, operation, and maintenance. Based on the research and development of the elevator control intelligent system, it can be concluded that the intelligent control lift system was developed using a waterfall model. integration and system testing includes RFID-RC522 reading distance testing, component function testing, and RFID response time measurement testing. The test results show that the RFID-RC522 is readable, and the RFID response time is fast. In addition, the components and all features function well as an elevator control system.
Forensic DNA Phenotyping: Genes and Genetic Variants for Eye Color Prediction

In recent decades, the use of genetic polymorphisms related to specific phenotypes, such as eye color, has greatly contributed to the development of the research field called forensic DNA phenotyping (FDP), enabling the investigators of crime cases to reduce the number of suspects, making their work faster and more precise. Eye color is a polygenic phenotype, and many genetic variants have been highlighted, with the major contributor being the HERC2-OCA2 locus, where many single nucleotide variations (SNPs) were identified. Interestingly, the HERC2-OCA2 locus, containing the intronic SNP rs12913832, the major eye color determinant, shows a high level of evolutionary conservation across many species of vertebrates. Currently, there are some genetic panels to predict eye color by genomic DNA analysis, even if the exact role of the SNP variants in the formation of eye color is still poorly understood, with a low level of predictivity in the so-called intermediate eye color. Many variants in OCA2, HERC2, and other genes lie in introns or correspond to synonymous variants, highlighting greater complexity in the mechanism of action of such genes than a simple missense variation. Here, we show the main genes involved in oculocutaneous pigmentation and their structural and functional features, as well as which genetic variants show the highest level of eye color predictivity in currently used FDP assays. Despite the great recent advances and impact of FDP in criminal cases, it is necessary to enhance scientific research to better understand the mechanism of action behind each genetic variant involved in eye color, with the goal of obtaining higher levels of prediction.
Blurred Lines in Allegations of Musical Intertextuality: A Response to Orosz

This commentary responds to Orosz’s recent EMR article, which presents research on the accuracy of user-generated information on the whosampled.com website. In general, we find Orosz’s main conclusions—that the accuracy of an entry tends to relate to the type of sample (direct or interpolated), how distinct the sample is, and the style of music—are convincing and well-supported by examples. That said, we believe Orosz’s ultimate appraisal of the web site as an invaluable resource to be contingent on the user. From the viewpoint of a music theorist such as Orosz, the web site may indeed be a beneficial resource. But for other users, especially students aspiring to create popular music, a lack of education about the legal issues surrounding the web site may foster a problematic perspective on music sampling.