bluuebunny/crossref_metadata_2025 huggingface dataset:
Kemampuan Karbon Aktif Kulit Durian (Durio Zibethinus Murray) Sebagai Media Filter Terhadap Bau Dan Zat Organik Pada Air Sumur Gali
Authors: Inayah Inayah , Ady Patriot Irvana
Published: July 2024

Salah satu parameter secara fisik penting dalam penentuan layak atau tidaknya air menjadi sumber air bersih adalah bau dan zat organik .Zat organik yang terdapat di dalam air bisa saja berasal dari alam itu sendiri ataupun efek dari aktivitas manusia. Berdasarkan uji pendahuluan yang dilakukan ditemukan zat organik pada air sumur gali yang diperiksa ialah 61,80 mg/l sehingga melebihi standar baku mutu Permenkes No. 32 Tahun 2017 ialah zat oragnik yang diperbolahkan sebesar 10 mg/l. Jenis penelitian ini adalah eksperimen. Tujuan dari penelitian ialah untuk mengetahui kemampuan karbon aktif kulit durian sebagai media filter terhadap bau dan zat organik pada air sumur gali yang berada di Kampus Poltekkes Kemenkes Makassar Jurusan Kesehatan Lingkungan. Sampel diteliti dengan perlakuan ketebalan media 7 cm, 9 cm dan 11 cm. Dari penelitian yang dilakukan dengan sampel awal sebesar 61,80 mg/l setelah perlakuan ditemukan hasil pada ketebalan 7 cm dengan rata- rata sebesar 12,72 mg/l dan persentase penurunan sebesar 79,41 %, pada ketebalan 9 cm dengan rata-rata sebesar 6,6 mg/l dan persentase penurunan sebesar 89,31 % kemudian pada ketebalan 11 cm dengan rata- rata sebesar2,94 mg/l dan persentase penurunan sebesar 95,23 %. Maka dapat disimpulkan bahwa karbon aktif kulit durian mampu menurunkan baud an zat organic dikarenakan semakin tebal media yang digunakan maka semakin tinggi penurunan zat organik yang terjadi. Saran diharapkan pemanfaatan kulit durian dapat dijadikan sebagai alternatif dalam pemecahan masalah pada air bersih dan juga untuk mempertimbangkan waktu jenuh dari media karbon aktif kulit durian dan menggunakan bahan pengaktivasian yang ada disekitar masyarakat.
Faktor Risiko Yang Berhubungan Dengan Kejadian Dermatitis Di Wilayah Kerja Puskesmas Bajo Barat Kabupaten Luwu
Authors: Arif Muh. Ikbal , Juherah Juherah , Aspa Nabila Nur Annisa
Published: July 2024

Dermatitis adalah penyakit kulit berbasis lingkungan yang bersifat gejala klinis subyektif peradangan pada kulit. Memperhatikan kondisi lingkungan dan kebersihan diri untuk menurunkan faktor risiko penularan dan angka penyakit berbasis lingkungan. Tujuan penelitian mengetahui hubungan faktor risiko dengan insiden dermatitis di daerah kerja UPT PKM Bajo Barat, Kab. Luwu. Metode penelitian merupakan observasi analitik menggunakan pendekatan case control. Total keseluruhan sampel 134 sampel terdiri 67 sampel kasus dan 67 sampel kontrol. Sampel penelitian memakai sistem sampel secara acak dengan memakai uji statistic chi square test. Hasil penelitian didapatkan ada hubungan signifikan dengan riwayat penyakit kulit (p= 0,000, OR= 3,0,CI 95%= 2,326-4,114), suhu (p= 0,000 OR= 2,3, CI 95%= 1,624-3,475), kelembaban (p=0,000 OR=2,1,CI 95%=1,526-2,980), personal hygiene (p= 0,033 OR= 1,5, CI 95%= 993-2,169) dengan kejadian dermatitis dan sedangkan tidak terdapat kelorasi yang signifikan antara kualitas fisik air (p=0,0116 OR=575, CI 95%=288-1,149) dengan insiden dermatitis di daerah kerja UPT Puskesmas Bajo Barat, Kabupaten Luwu. Kesimpulan hasil penelitian keluhan subjektif dermatitis ini dipengaruhi oleh riwayat penyakit kulit, suhu, kelembaban dan personal hygiene yang buruk maka di sarankan pihak UPT PKM Bajo Barat bisa melakukan penyuluhan kepada masyarakat mengenai pentingnya pengendalian serta dampak bahaya penyakit kulit dermatitis dan masyarakat diharapkan mampu menjaga kesehatan dan kebersihan diri sendiri dan memperhatikan kondisi lingkungan tempat tinggal.
GROWTH PROMOTION OF RADISH MICROGREENS WITH Trichoderma harzianum INOCULATION
Authors: Zuppardo João Pedro Junqueira Pedras , Silva Alasse Oliveira Oliveira da , Torsian Walleska Silva , Freitas Isabela Scavacini de , Mello Simone da Costa
Published: July 2024

The fungus Trichoderma harzianum is a sustainable and environmentally friendly solution for use in agriculture. Its application stimulates the growth of radish microgreens, a short-cycle crop, standing out as an agricultural practice that meets the growing demand for healthier crops. This study aimed to evaluate the use of Trichoderma harzianum on the growth and quality of radish microgreens. The research was conducted in a greenhouse, using a completely randomized experimental design (CRD) with three treatments and eight replications. The treatments included a control, the application of the fungus on the seeds, and the application of the fungus on the substrate. The phytotechnical and post-harvest characteristics were evaluated. The application of the Trichoderma harzianum to the substrate resulted in a 19.75% increase in yield, a 19.87% increase in the conversion of seed mass into fresh mass, a 2.94% increase in the shoot dry mass, a 2.31% increase in water content, and a 28.29% increase in hypocotyl length compared to the control. The use of Trichoderma harzianum proved to be effective in promoting the growth of radish microgreens.
Sustainability in the Czech Republic: From a Green Growth Laggard to a Degrowth Hotspot
Authors: Kolínský Ondřej
Published: July 2024

The Czech Republic is a notorious laggard in green transition policies. This begs the question of how stable the current socio-political setting is and whether it can resist deeper sustainability transitions in the long run. The paper combines institutional literature with sustainability transition research to describe the current situation and outline possible future developments in terms of the economic discourse. It shows that the reluctance towards the green transition may be caused not only by the strong position of incumbents but also by the limited relevance of the green competitiveness approach for the country’s situation. Based on recent developments and existing vulnerabilities, the paper identifies the possible strengths of the more radical approach to sustainability entailed in degrowth. Rather than a pure hegemony of one of the niche paradigms, however, it proposes as likely a pluriversal pathway combining elements of both in a patchwork manner.
4-H Livestock Judging: Activity 3, The Bottom Line
Authors: Carr Chad , Crosswhite Justin , Jhonson Amanda
Published: July 2024

This document is an educational guide. It serves as a curriculum resource within the Florida 4-H program, specifically designed for teaching livestock judging to young people aged 11-18. The guide emphasizes the development of various life skills through judging activities, such as communication, decision making, and organizational skills, while also aiming to boost confidence and self-esteem among participants.
The document is intended for 4-H leaders and coaches, providing encouragement and guidance for those who may lack extensive background knowledge in animal science. It highlights the importance of animal science within the Florida 4-H educational framework and underscores the positive impact of livestock judging programs on youth development. The guide also aims to reassure and support potential leaders, emphasizing that successful programs can be led effectively without requiring advanced subject matter expertise. Original publication date November 1992.
4-H Livestock Judging: Activity 6, Judging a Class
Authors: Carr Chad , Crosswhite Justin , Jhonson Amanda
Published: July 2024

This document is an educational guide. It serves as a curriculum resource within the Florida 4-H program, specifically designed for teaching livestock judging to young people aged 11-18. The guide emphasizes the development of various life skills through judging activities, such as communication, decision making, and organizational skills, while also aiming to boost confidence and self-esteem among participants.
The document is intended for 4-H leaders and coaches, providing encouragement and guidance for those who may lack extensive background knowledge in animal science. It highlights the importance of animal science within the Florida 4-H educational framework and underscores the positive impact of livestock judging programs on youth development. The guide also aims to reassure and support potential leaders, emphasizing that successful programs can be led effectively without requiring advanced subject matter expertise. Original publication date November 1992.
4-H Livestock Judging: Activity 9, What's Your Score?
Authors: Carr Chad , Crosswhite Justin , Jhonson Amanda
Published: July 2024

This document is an educational guide. It serves as a curriculum resource within the Florida 4-H program, specifically designed for teaching livestock judging to young people aged 11-18. The guide emphasizes the development of various life skills through judging activities, such as communication, decision making, and organizational skills, while also aiming to boost confidence and self-esteem among participants.
The document is intended for 4-H leaders and coaches, providing encouragement and guidance for those who may lack extensive background knowledge in animal science. It highlights the importance of animal science within the Florida 4-H educational framework and underscores the positive impact of livestock judging programs on youth development. The guide also aims to reassure and support potential leaders, emphasizing that successful programs can be led effectively without requiring advanced subject matter expertise. Original publication date November 1992.
Safe Tractor Operations: Dangers of Extra Riders
Authors: Gorucu Serap , Lehtola Carol J. , Brown Charles M.
Published: July 2024

The Safe Tractor Operations series contains six articles devoted to tractor safety. This publication discusses the serious risks that extra riders on tractors face. Written by Serap Gorucu, Carol J. Lehtola, and Charles M. Brown and published by the UF/IFAS Department of Agricultural and Biological Engineering, June 2024.
Natural Area Weeds: Carrotwood (Cupaniopsis anacardioides)
Authors: Enloe S.F. , Langeland K.A.
Published: July 2024

This document highlights the impact of unwanted plant growth, or weeds, in various contexts—from home lawns to natural areas managed by biologists. It emphasizes the distinction between introduced plant species and invasive species, such as Carrotwood (Cupaniopsis anacardioides), which disrupts natural ecosystems in Florida.
Carrotwood, classified as one of Florida's most invasive plants, spreads through seed dispersal by birds and is particularly problematic in coastal habitats. The species, originally from Australia, was first recorded in Florida in the 1950s and has since naturalized in various landscapes and coastal counties. The document concludes by urging homeowners to remove Carrotwood from their properties to protect Florida's natural areas. Methods for effective removal, including herbicide application, are outlined, along with suggestions for replacing Carrotwood with non-invasive plant species to maintain ecological functions and biodiversity.
Natural Area Weeds: Distinguishing Native and Non-Native "Boston Ferns" and "Sword Ferns" (Nephrolepis spp.)
Authors: Langeland K.A. , Enloe S.F.
Published: July 2024

The proliferation of non-native Nephrolepis fern species in Florida's natural areas poses a significant challenge for distinguishing them from native sword ferns (Nephrolepis exaltata) and giant sword ferns (Nephrolepis biserrata). This fact sheet examines the invasive tuberous sword fern (Nephrolepis cordifolia) and Asian sword fern (Nephrolepis brownii), which resemble native species but disrupt local ecosystems. The document provides identification tools including morphological contrasts, a dichotomous key, and detailed images. Key characteristics such as tuber presence, scale coloration, pinnae arrangement, and indusia shape aid in species differentiation. Control measures including herbicide use and disposal guidelines are also outlined to manage these invasive ferns effectively.
Grazing Management Concepts and Practices
Authors: Sollenberger L.E. , Vendramini J. , Dubeux J. , Wallau M.
Published: July 2024

Grazing management can be defined as the manipulation of livestock grazing to accomplish a desired result. The desired result depends upon the enterprise, but for most producers economic goals are of primary importance. Decisions regarding what grazing management to use are based on the characteristics of the forage being grazed, animal requirements, input costs associated with adopting a particular system, and the probability of return on investment.
Grazing management is a powerful tool that strongly influences pasture and animal performance. Choice of grazing management affects pasture yield, nutritive value, and stand longevity. Choice of grazing management also affects weight gain or milk production of an individual animal as well as the amount of milk or meat produced per acre. Document first published in June 2002.
Saw Palmetto Control: Individual Plant and Broadcast Application
Authors: Fast Brandon , Ferrell Jason , Sellers Brent
Published: July 2024

Saw palmetto (Serenoa repens) is a shrubby palm species native to Florida, characterized by its 2-8 feet height, extensive underground stems, and palmate leaves. While beneficial for wildlife and human uses, saw palmetto poses significant challenges in pastures, forests, and non-cropland areas, necessitating effective control methods. Mechanical control, such as double roller-chopping, is labor-intensive and non-selective. Chemical control offers an alternative, with spot-treatment and broadcast spraying being common methods. Spot-treatments using triclopyr ester and metsulfuron, either individually or in combination, show varying degrees of effectiveness, typically requiring multiple applications. Broadcast applications similarly rely on these herbicides, emphasizing the need for adequate spray coverage and the use of adjuvants. While metsulfuron is effective against a broad range of weeds, it can harm desirable grasses like Pensacola bahiagrass, necessitating cautious application. Comprehensive control strategies often require follow-up treatments to address resprouts, highlighting the persistent nature of saw palmetto. Further detailed guidance on these methods can be found in specific EDIS publications.
Relationship of Cow Size to Nutrient Requirements and Production Management Issues
Authors: Hersom Matt
Published: July 2024

Proper nutritional status is critical for optimal production efficiency in the beef cow herd. Meeting the nutrient requirements of the productive cow is a prime factor in reproductive success and overall herd profitability. However, beef producers often take a "one size fits all" approach when feeding the cow herd. This singular approach to nutrient supply can have nutritional and economic ramifications. Nutritional requirements vary with age, breed, sex, body condition, environment, physiologic status, and weight. By acknowledging these differences in nutrient requirements, management strategies can be implemented to optimize pasture forages, feed resources, and overall production.
While there are many factors that affect nutrient requirements, body size (weight) and milk production are the two primary factors impacting on nutritional requirements. Therefore, this report focuses on cow weight, acknowledging that milk production is an additional driving factor for nutritional requirements of beef cows.
Properly Cleaning Portable Milking Units: A Step-by-Step Guide
Authors: Toledo Izabella , Decubellis Chris
Published: July 2024

This article aims to help small dairy producers learn how to properly clean portable milking machines so they can improve milk quality and prolong the life of milking equipment. This publication is accompanied by one brochure that aims to summarize the steps for proper cleaning of portable milking units. Written by Izabella Toledo and Chris Decubellis, and published by the UF/IFAS Department of Animal Sciences, April 2024.
Citrus Fertilizer Management on Calcareous Soils
Authors: Obreza Thomas A. , Zekri Mongi , Calvert David V.
Published: July 2024

This document is about managing citrus fertilizer on calcareous soils, common in South Florida's flatwoods. Calcareous soils, with high calcium carbonate (CaCO3) content and alkaline pH levels, affect the availability of essential nutrients like nitrogen (N), phosphorus (P), magnesium (Mg), potassium (K), manganese (Mn), zinc (Zn), and iron (Fe). Effective nutrient management involves tailored strategies such as using ammoniacal fertilizers, foliar sprays, water-soluble P applications, and soil acidulents like elemental sulfur. By understanding and addressing the unique challenges of calcareous soils, citrus growers can enhance nutrient uptake and improve crop yields. First published Dec. 1993.
Nutrient Solution Formulation for Hydroponic (Perlite, Rockwool, NFT) Tomatoes in Florida
Authors: Hochmuth George , Hochmuth Robert
Published: July 2024

This document is about managing fertilizer programs for crop production, focusing on the 16 essential nutrients plants require. For Florida greenhouse vegetable producers, key elements to manage include nitrogen (N) and potassium (K), as their imbalances can cause plant disorders and yield issues. The document provides specific fertilizer recommendations for tomatoes, applicable to various production systems.
It highlights the importance of starting with a water quality test to tailor nutrient solutions accurately. Two methods for supplying nutrients are discussed: pre-mixed products and grower-formulated solutions, each with its own pros and cons. The document also addresses the water-fertilization relationship in hydroponic systems, emphasizing the need for frequent irrigation and proper nutrient concentration adjustments. The goal is to help growers optimize fertilization, reduce costs, and minimize environmental impact. First published Oct. 1990.
Introduction - Florida Greenhouse Vegetable Production Handbook, Vol 1
Authors: Hochmuth George
Published: July 2024

Greenhouse vegetables cannot usually compete directly on a price basis in the same markets with field-grown vegetables. Greenhouse vegetable production is much more expensive and more intensive and the crops must be marketed as specialty produce. Since greenhouse production is very costly and intensive, and the market for the specialty items is volatile, the prospective grower must be keenly aware of the special and exacting requirements of greenhouse vegetable production. This publication presents the special considerations that must be understood by all new or perspective greenhouse vegetable growers. This document is a chapter of the Florida Greenhosue Vegetable Production Handbook, Volume 1, one of a series of the Horticultural Sciences Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. First Publication Date: December, 1990
Crop Production - Florida Greenhouse Vegetable Production Handbook, Vol 1
Authors: Hochmuth George , Hochmuth Robert , Thomas W.D. , Sweat M.S.
Published: July 2024

The prospective greenhouse grower must have in mind the crop to be produced and the marketing strategy for that crop. This section presents some of the major considerations regarding crop production. This document is one of a series of the Horticultural Sciences Department, UF/IFAS Extension. Original publication date December 1990.
Dissolved Oxygen for Fish Production
Authors: Francis-Floyd Ruth
Published: July 2024

This document is about dissolved oxygen (DO). DO refers to oxygen gas that is dissolved in water. Fish "breathe" oxygen just as land animals do. However, fish are able to absorb oxygen directly from the water into their bloodstream using gills, whereas land animals use lungs to absorb oxygen from the atmosphere. First published in 1992.
Introduction to Fish Health Management
Authors: Francis-Floyd Ruth
Published: July 2024

Successful fish health management begins with prevention of disease rather than treatment. Prevention of fish disease is accomplished through good water quality management, nutrition, and sanitation. Without this foundation it is impossible to prevent outbreaks of opportunistic diseases. The fish is constantly bathed in potential pathogens, including bacteria, fungi, and parasites. Even use of sterilization technology (i.e., ultraviolet sterilizers, ozonation) does not eliminate all potential pathogens from the environment. Suboptimal water quality, poor nutrition, or immune system suppression generally associated with stressful conditions allow these potential pathogens to cause disease. Medications used to treat these diseases provide a means of buying time for fish and enabling them to overcome opportunistic infections, but are no substitute for proper animal husbandry. First published Feb. 1990.
Nothing Will Ever Be the Same: Acknowledging and Recovering from the Trauma of Identity Theft Victimization
Authors: Betz-Hamilton Axton , Cantrell Randall A. , Liss Radunovich Heidi
Published: July 2024

This publication is a fact sheet intended for individuals who are interested in learning basic information about identity theft, victimization, and ways to navigate the process. The publication aims to inform readers and to help victims of identity theft minimize financial and personal setbacks. Written by Axton Betz-Hamilton, Randall A. Cantrell, and Heidi Liss Radunovich, and published by the UF/IFAS Department of Family, Youth and Community Sciences, June 2024.
How to Build a Blackberry Trellis System: A Complete Guide
Authors: Shahid Muhammad Adnan , Iqbal Shahid , Sarkhosh Ali
Published: July 2024

Blackberry (Rubus spp.) is a deciduous fruit crop. The fruit are usually small, round, and dark purple to black. Blackberry fruit is comprised of multiple drupelets that cluster together to form a berry, which has a glossy appearance when matured. Blackberries have a complex flavor profile that blends sweetness and acidity, and taste may vary depending on the variety and maturity stage. They are rich in nutrients, vitamins, minerals, and antioxidants. Blackberries are best grown in sub-tropical to temperate climates. Blackberry is a new emerging fruit crop in Florida, where they are harvested in May-June. There are several varieties, some of which are native to Florida. This publication aims to provide a general overview of the importance of trellis, different types of trellis, and their installation in blackberry production for county and state Extension faculty, growers, homeowners, and students interested in growing blackberries in Florida.
Cedar Waxwing (Bombycilla cedrorum)
Authors: Akhter Muhammad Azeem , Hostetler Mark
Published: July 2024

This fact sheet describes a common wintering bird in Florida called the cedar waxwing (Bombycilla cedrorum). Information in this fact sheet is relevant to homeowners, backyard bird enthusiasts, and the general public. Written by Muhammad Azeem Akhter and Mark Hostetler, and published by the UF/IFAS Department of Wildlife Ecology and Conservation, June 2024.
Better Mentorship, Better Student Experience: An Introduction to Mentorship
Authors: Barry Debra M. , Nesbitt Heather , McAuslane Heather
Published: July 2024

This initial article in the Better Mentorship, Better Student Experience series provides faculty and students with a basic understanding of the potential benefits of mentoring and creating a support system. Written by Debra M. Barry, Heather Nesbitt, and Heather McAuslane, and published by the UF/IFAS Department of Agricultural Education and Communication, May 2024.
Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data
Authors: Ghadimi Shadan , Ennajari Hafsa , Bouguila Nizar
Published: July 2024

Topic modeling has become a fundamental technique for uncovering latent thematic structures within large collections of textual data. However, conventional models often struggle to capture the burstiness of topics. This characteristic, where the occurrence of a word increases its likelihood of subsequent appearances in a document, is fundamental in natural language processing. To address this gap, we introduce a novel topic modeling framework, integrating Beta-Liouville and Dirichlet Compound Multinomial distributions. Our approach, named Beta-Liouville Dirichlet Compound Multinomial Latent Dirichlet Allocation (BLDCMLDA), is designed to specifically model word burstiness and support a wide range of adaptable topic proportion patterns. Through experiments on diverse benchmark text datasets, the BLDCMLDA model has demonstrated superior performance over conventional models. Our promising results in terms of perplexity and coherence scores demonstrate the effectiveness of BLDCMLDA in capturing the nuances of word usage dynamics in natural language.
TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification
Authors: Elsayed Nelly , Zekios Constantinos L. , Asadizanjani Navid , ElSayed Zag
Published: July 2024

Ensemble modeling has been widely used to solve complex problems as it helps to improve overall performance and generalization. In this paper, we propose a novel TemporalAugmenter approach based on ensemble modeling for augmenting the temporal information capturing for long-term and short-term dependencies in data integration of two variations of recurrent neural networks in two learning streams to obtain the maximum possible temporal extraction. Thus, the proposed model augments the extraction of temporal dependencies. In addition, the proposed approach reduces the preprocessing and prior stages of feature extraction, which reduces the required energy to process the models built upon the proposed TemporalAugmenter approach, contributing towards green AI. Moreover, the proposed model can be simply integrated into various domains including industrial, medical, and human-computer interaction applications. Our proposed approach empirically evaluated the speech emotion recognition, electrocardiogram signal, and signal quality examination tasks as three different signals with varying complexity and different temporal dependency features.
Promoting Transparency and Trust in Biomedical Data: A FAIR Approach to Content Creation and Sharing
Authors: Abbas Asim , Chalarca Sebastian , Wajahat Iram , Keshtkar Fazel , Ukhari Syed Ahmad Chan
Published: July 2024

Efficient sharing of scientific knowledge is vital for research advancement and reproducibility. However, PDF dominance poses challenges in adhering to FAIR principles (Findability, Accessibility, Interoperability, Reusability). Some web-based frameworks enhance content interoperability using RDF and linked data but often target technical users. To address this, we introduce ``Semantically", a user-friendly platform for biomedical researchers that offers a semantic content authoring module, collaboration tools and improving annotation accuracy. We also propose a publishing infrastructure using schema.org to ensure machine-readable and well-organized datasets, enhancing data FAIRness. Combining Semantically's authoring module and schema.org provides a comprehensive solution for enhancing FAIRness and reproducibility of scientific content. ``Semantically" is an open-source tool accessible at~\href{https://github.com/bukharilab/Semantically}{Github}.
Toward Inclusivity: Rethinking Islamophobic Content Classification in the Digital Age
Authors: Aldreabi Esraa , Chhangani Mukul Dev , Harahsheh Khawlah , Lee Justin , Chen Chung-Hao , Blackburn Jeremy
Published: July 2024

In this paper, we implement a comprehensive three class system to categorize social media discussions about Islam and Muslims, enhancing the typical binary approach. These classes are: I) General Discourse About Islam and Muslims, II) Criticism of IslamicTeachings and Figures, and III) Comments Against Muslims. These categories are designed to balance the nuances of free speech while protecting diverse groups like Muslims, ex-Muslims, LGBTQ+ communities, and atheists. By utilizing machine learning and employing transformer-based models, we analyze the distribution and characteristics of these classes in social media content. Our findings reveal distinct patterns of user engagement with topics related to Islam, providing valuable insights into the complexities of digital discourse. This research contributes to the fields of quantitative social science by offering an improved method for understanding and moderating online discussions on sensitive religious and cultural subjects.
How did an election fraud narrative spread online? Testing theories us-ing machine learning and natural language processing
Authors: Hagen Loni , Ford Diego , Edwards Jahnae , Dinh Ly , DePaula Nic , Scacco Joshua
Published: July 2024

In this study, we investigated 1) how election fraud narratives propagated on social media, and 2) the role of influential actors in the process of building and spreading the election fraud narratives. We applied machine learning (ML) and natural language processing (NLP) methods to examine Twitter data related to an election fraud narrative following the 2020 Presidential election. We identified influential actors and found evidence for the former President’s use of social media to cue group identity.
Your Brain on STEM Video Lessons: Exploring Neurophysiological Pat-terns and Educational Engagement to Video Content
Authors: Christoforou Christoforos , Singh Amritpal , Takos Antonios
Published: July 2024

The COVID-19 pandemic catalyzed a significant shift towards online learning, revealing the potential of online educational videos as an educational tool in the post-crisis era. As we venture through this evolved educational terrain, it becomes crucial to understand the effectiveness and impact educational video content has on students' engagement and performance. This research explores how different styles of educational video content on STEM (Science Technology, Engineering, and Mathematics) topics impact students' engagement and comprehension using Electroencephalography (EEG) and eye-tracking data of participants viewing the educational video. In particular, we propose a machine learning driven analysis framework to study which EEG and eye-gaze-based metrics are informative of students' engagement and attention to STEM-related educational videos and predict student-population-wide comprehension. Although still in the preliminary stages, our research endeavors to identify correlations between neurophysiological patterns and educational engagement across disciplines.
Mode Collapse Detection Strategies in Generative Adversarial Networks for Credit Card Fraud Detection
Authors: Barsha Farhat Lamia , William Eberle
Published: July 2024

A Generative Adversarial Network (GAN) is an artifi- cial intelligence model developed specifically to pro- duce synthetic data that resembles real data by training a generative model and a discriminative model simulta- neously using adversarial training. A GAN can be ex- tensively used for generating replicated data, however, it suffers from several issues, one of which is mode col- lapse. Mode collapse takes place when the generator is unable to capture the complete range of diversity in the target data distribution, resulting in the production of limited and repeating variations of samples. Multiple metrics exist to quantify mode collapse in GANs, al- though no individual metric is capable of consistently providing accurate results. This research focuses on the critical need for accurate mode collapse detection tech- niques in GANs, to strengthen the credit card fraud detection systems. In this work, we utilize a GAN to generate numerical data instead of image data. Our ap- proach utilizes a wide range of measures, such as Gener- ator and Discriminator Loss, Wasserstein Distance, pre- cision, recall, and visualization tools, to provide a com- prehensive framework for detecting mode collapse. In addition, we introduce an alert mechanism that identi- fies possible mode collapse at an early stage, allowing for earlier intervention and modifications to the training process. We have further proposed suggestions regard- ing monitoring and analyzing generator and discrimina- tor loss values to identify potential instances of mode collapse to help the developer optimize GAN training and improve the quality of synthetic data.
Image Interpretation Confusion Resolution by Collaboration
Authors: Mathew Ben , Alghanmi Akram , Silaghi Marius
Published: July 2024

Visual scene understanding can benefit from inputs provided by multiple participants with their different perspectives, and a distributed version of a modified Waltz filtering enriched with modern AI inferences can potentially help accuracy and speed trade-offs by exploiting the simultaneous perspectives and logic. Speed is improved by the contribution of the implicit parallelisation in processing. Accuracy improvements are expected from updating constraints with novel and more powerful inferences that the participants can apply. Automatically understanding scenes is a highly relevant problem. Multiple robots communicate with one another to classify shapes of edges of an object. Local reasoning can reduce communication latency.
Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination
Authors: Choudhury Moumita , Saisubramanian Sandhya , Zhang Hao , Zilberstein Shlomo
Published: July 2024

Autonomous agents operating in real-world environments frequently encounter undesirable outcomes or negative side effects (NSEs) when working collaboratively alongside other agents. Even when agents can execute their primary task optimally when operating in isolation, their training may not account for potential negative interactions that arise in the presence of other agents. We frame the challenge of minimizing NSEs as a lexicographic decentralized Markov decision process in which we assume independence of rewards and transitions with respect to the primary assigned tasks, but recognize that addressing negative side effects creates a form of dependence among the agents. We present a lexicographic Q-learning approach to mitigate the NSEs using human feedback models while maintaining near-optimality with respect to the assigned tasks---up to some given slack. Our empirical evaluation across two domains demonstrates that our collaborative approach effectively mitigates NSEs, outperforming non-collaborative methods.
Optimizing Dynamic Airlift Operations: Winning Strategies in the AFRL Airlift Challenge
Authors: Kolen John
Published: July 2024

The Air Force Research Laboratory (AFRL) has sponsored the Airlift Challengeover the past two years, aimed at addressing the dynamic airlift problem. Thedynamic nature of the challenge included the random disappearance of graphedges to simulate adverse weather conditions and the spontaneous appearance ofcargo requiring delivery. This poster presents the systems that won both the 2023and 2024 challenges. The initial approach focused on intelligent solutions for subtasks, or 'build-smart'. It soon became clearthat the optimization of the scoring rate, points per second, was moreimportant than single instance metric performance. In the subsequentcompetition, a 'build-fast' strategy was adopted due to this observation. Thispaper discusses the impact of iteration on algorithm selection for optimizationproblems and suggests considerations for structuring scoring processes infuture competitions.
Free Trade Agreements and Inequality: The Prospect for the UK Post-Brexit
Authors: Alfalah Osama , Ali Mohammad , Alhammadi Abdullah
Published: July 2024

This paper examines the potential effects of Brexit on income inequality in the United Kingdom (UK) and utilizes empirical methods to predict these effects. The study focuses on the impact of trade and Foreign Direct Investment (FDI) on income inequality, using macroeconomic data from 1971 to 2019. By employing cointegration techniques and an Error Correction Model (ECM) on annual time series data, the analysis reveals that higher levels of trade have historically reduced income inequality in the UK over the long term. Consequently, changes in trade resulting from Brexit are expected to have a negative influence on the distribution of income and wealth in the UK. On the other hand, the study finds that higher FDI has only had a short-term negative effect on income distribution in the UK.
An Econometric Research on the Economic Effects of Tax Amnesties
Authors: Kanca Osman Cenk , Bayrak Metin
Published: July 2024

Nowadays, especially developing countries need different resources to meet their expenditures. In this context, the issue of tax amnesties maintains its place on the agenda both in the economic and political arena. The economic effects of tax amnesties are still discussed in the literature. In this study, the relationship between tax amnesties and some macroeconomic variables (tax revenues, inflation, growth) has been econometrically tested for Turkey for the period of 1980-2021. In the study, in which ARDL model was used, cointegration relationship was determined between tax amnesties, tax revenues, inflation and growth. In addition, it has been determined that tax amnesties have positive effects on growth and inflation through tax revenues in both the short and long run.
Trends and Insights in Sustainability Accounting in the Public Sector: Unveiling the Research Landscape
Authors: Jasni Nur Syuhada , Kamarudin Siti Nurhazwani
Published: July 2024

This study examines the evolution of sustainability accounting in the sector, emphasizing a shift from environmental management to more detailed strategies focusing on environmental preservation, integrating policies and engaging stakeholders. It delves into how policies with public sector activities provide insights into common approaches for measuring and reporting sustainability. By using a combination of bibliometric and thematic analysis, this research analyzes a collection of peer-reviewed papers to identify trends and evolving topics using both quantitative and qualitative methods. The findings indicate a move towards sustainability initiatives, emphasising incorporating technological advancements to enhance sustainability measurement and reporting. Key themes like policy and governance sustainability reporting and the strategic use of technology highlight a trend towards data-driven policymaking and the crucial role of sustainable procurement in the public sector. While comprehensive, the study acknowledges limitations related to database selection and potential publication biases. It emphasizes the importance of research to address gaps and calls, for aligning sustainability reporting standards. This research adds to discussions by providing an overview of sustainability accounting practices within the public sector. It compiles a range of research to offer a comprehension of the subject, setting the stage for upcoming studies and highlighting its importance in academic exploration and real-world use.
An Analysis of Marriage and Love Concepts in English Proverbs
Authors: Lan An , Shiguo Shan
Published: July 2024

English proverbs reflect the wisdom and experience of the people in Englishspeakingcountries. We explore the views on marriage and love embodied in English proverbs, aiming to understand the cultural values and emotional attitudes behind these proverbs. Some proverbs advocate freedom of marriage and love, believing that love is predestined.Some emphasize the blindness of love, advocating a sober and rational attitude towards marriage and love, and more importantly, working hard to manage marriage. This paper collects and analyzes some representative English proverbs about love and marriage. These proverbs are not only linguistic expressions but also cultural wisdom inheritance. They show the complex and diverse understanding and practice of love and marriage among people in English-speakingcountries. They reveal some common themes and values, such as individualism,rationalism, romanticism, realism, etc. They also reflect some historical and socialchanges, such as Christianity, feminism, etc. English proverbs about love and marriageare not only a rich source of linguistic and cultural information, but also a valuableresource for cross-cultural communication and education. Understanding the viewson marriage and love in different cultures can promote the development of culturalintelligence, and also provide a reference for the establishment of a proverb corpus.
Ділдік лексиконның берілу жолдары
Authors: Бергібаева Д.Қ. , Кенжеғалиев С.А.
Published: July 2024

Қазіргі таңда жалпы тіл білімі саласында тіл ұғымымымен қатар, ділдік лексикон мәселесін бірге қарау керектігі негізгі ұстаным болып табылады. Оныңбасты себептерінің бірі – тілді тұтынушы халықтың және жеке адамның өткенімен қазіргі жағдайы ділдік индивидуалдықпен біте қайнасып жатқандығы. Ділдік лексиконның жеке тұлға бойында түзілуі және оның даму ерекшеліктері жайында адамның сөзді санада сақтауы және мәліметті қабылдауының вербальды-семантикалық, когнитивтік және прагматикалық жолдары толықтай қарастырылады. Индивидтің сөйлеу әрекетіне қатысты сөз өндіріп шығаруы, оны екінші адамнан қабылдауы, оны ұғынуы, санада ділдік бірліктердің сақталуы тәрізді сияқты ұғымдарға түсінік беріледі.Ділдік лексикон мәселесіне дейінгі саты психолингвистика жетістіктерініңқалыптасу, даму кезеңдеріне шолу жасалынып, қазіргі кезге дейінгі өзектілігісипатталады. Жалпы тіл білімінде ділдік лексикон жайлы алғашқы зерттеулермен жан-жақты сипатталған тұжырымдарға талдау жүргізу арқылы қазақ тіл біліміндегі орнын қалыптастыруда бірқатар әлемдік ғалымдардың ділдік лексикон бағытындағы зерттеулері басшылыққа алынады. Бұған дейінгі еңбектер мен зерттеулерді басшылыққа алу арқылы қорытындыланған зерттеуімізде ділдік лексиконның жаңа қыры – бастауыш мектептегі балалардың тілінің қалыптасуы жайлы айтылады.
An assessment of factors associated with full vaccination coverage rate among children aged 12-23 months in Masvingo district; Zimbabwe. A cross-sectional study
Authors: Nyengerai Nomore , Mhlanga Maxwell
Published: July 2024

Introduction: Immunization is one of the most cost-effective nursing interventions aimed at reducing ill health and premature death among children. Despite tremendous efforts by governments, vaccination coverage remains low, especially in developing countries. Masvingo district is one of the districts with low vaccination coverage in the country. Objectives: This study sought to assess immunization coverage, identify determinants of vaccination coverage and assess factors associated with low full immunization coverage in Masvingo district, Zimbabwe. Methods: An analytical cross-sectional study design was conducted between January 2019 and February 2019. Masvingo province was purposively selected due to its low vaccination coverage (60.3%) according to the Zimbabwe Demographic and Health Survey 2015. WHO cluster sampling was used to select households. A total of 354 children and their mothers residing in Masvingo district were recruited for the study. Pre-tested interviewer-administered questionnaires were used to collect data. Bivariate analysis was employed to assess factors associated with low vaccination coverage. Results: An estimated 89.5% of children aged 12-23 months were fully vaccinated by card or mothers’ recall. Factors significantly associated with full vaccination coverage rates (P<0.001) included birth order, distance to the nearest health facility, waiting time, place of birth, number of Antenatal care visits, possession of a vaccination card, place of residence, mother/caregiver’s highest level of education, household expenditure per month, and overall knowledge of the vaccination schedule. After controlling for all these factors, only household expenditure per month (P=0.001), having a vaccination card (P=0.047), and overall knowledge of the vaccination schedule (P=0.002) were statistically significant predictors of full vaccination coverage rates. Conclusion: Although full vaccination coverage is improving, it is still below the Global Vaccine Action Plan target. Factors associated with low full vaccination coverage include marital age, marital status, level of education, religion, household expenditure, distance to the health center, waiting time, and Antenatal Care and Post-natal Care care utilization. There is no single factor solely responsible for low vaccination coverage; rather, it is influenced by a combination of multiple factors. Nursing interventions at community level should focus on increasing community mobilization strategies that foster saturation coverage to achieve herd immunity for all vaccine preventable child diseases.
Emergency Management Patient with Multiple Mid-Lower Face Fracture and Tissue Avulsion of 1/3 Mid Face : A Case Report
Authors: Putri Atikah Mawardhani , Sylvyana Melita , Yusuf Harmas Yazid
Published: July 2024

Introduction : Facial trauma can be defined as bone and or soft tissue damage in the face region. Severe facial trauma might cause life threatening and permanent damage such as vision loss, unable to speak, swallows and chews because there are many bones, blood vessels, nerves, muscles and sensory organs at the face region. The facial damage could be a facial bone fracture with severe avulsion of facial tissue so two-dimensional and three-dimensional measurement of the wound is taken to assess the size of tissue to be covered. The aim of this case report was to give an explanation regarding the emergency management patient with multiple mid-lower face fracture and tissue avulsion of 1/3 mid face.
Case Report : A 46 years old male traffic accident patient came to Emergency Department Hasan Sadikin General Hospital with facial fracture and had a severe avulsion of facial tissue. He also had an active bleeding from his face and based on immediate examination the airway was not clear. The patient has been diagnosed with Le Fort I, right orbital rim inferior aspect, nasal, right zygoma and parasymphisis of mandible bone fracture and Tissue loss at upper lip, nasolabial, left nose, left buccal and Multiple lacerated wound at facial region. He was treated with tracheostomy to clear the airway continued with open reduction internal fixation at right orbital rim inferior aspect, nasal, right zygoma, bilateral maxilla bone and parasymphisis of mandible bone with wound closing using rotational and sliding loco regional flap technique.
Conclusion : Emergency treatment on multiple facial fracture with severe avulsion of facial tissue must be done to prevent life threatening condition, permanent damage and also to support the secondary reconstruction.
Keywords : Severe avulsion of facial tissue, Mid lower face fracture, Open reduction internal fixation, Rotational flap, Sliding loco regional flap