bluuebunny/crossref_metadata_2025 huggingface dataset:
Sentiment Analysis of Netizen's Comments on YouTube about IKN (Capital City) Development in Indonesia
Authors: Sa’diyah Ilmatus , Aviolla Terza Aviolla Terza , Lima Cagiva Chaedar Bey , Ariefean Mohammad Rafka Mahendra , Athallah Ikbar
Published: January 2025

The National Capital City (IKN) of the Archipelago is located in North Penajam Paser Regency and Kutai Kartanegara Regency, East Kalimantan Province. The transfer and development of IKN does not only have an impact on moving the country's capital from Jakarta to Kalimantan, but also on the future development of IKN which includes social, economic, cultural and environmental aspects. This impact created sentiment in society. For this reason, this research was conducted to identify public sentiment towards IKN development in Indonesia through comments on YouTube. Data in the form of sentiment from public comments on YouTube which comes from data sources in the form of videos selected based on the highest total comments regarding IKN. Data was collected and analyzed using the Python system with stages of Web scraping, pre-processing, sentiment analysis, and classification methods. Based on the data analysis that has been carried out, positive sentiment, neutral sentiment and positive sentiment are distinguished. Meanwhile, positive sentiment can be seen from the words good and prosperous, negative sentiment can be seen from the words debt, corruption and pessimism, while neutral sentiment is related to prices, investors and toll money. This overall sentiment leads to rejection and acceptance of IKN development by the government. The reason is that the impact caused after the construction was a trigger for the emergence of comments on YouTube videos which led to public sentiment. The results of this analysis can be used as hope for the government to anticipate IKN development that will have a negative impact.
Uma exposição geral fora da Academia Imperial de Belas Artes
Authors: Novelli Duro Fabriccio Miguel
Published: January 2025

Foi inaugurada em 18 de março de 1882 a primeira “exposição geral” organizada pela Sociedade Propagadora das Belas Artes no edifício do Liceu de Artes e Ofícios do Rio de Janeiro. Os escritos sobre o evento não deixavam dúvidas de que um catálogo fora elaborado para acompanhar a exposição. Pouco mencionada pela historiografia, a publicação se revela como importante fonte para o estudo das exposições e do meio artístico brasileiro no final do século XIX. O artigo tem por objetivo apresentar o contexto de produção do catálogo e transcrevê-lo integralmente. Trata-se de um documento pouco conhecido, produzido por relevante episódio da história da arte no Brasil, e que ilumina um período marcado pelo hiato das exposições gerais de 1879 e 1884 realizadas pela Academia Imperial.
Manoel Santiago, teosofista
Authors: Rodrigues Laíza de Oliveira
Published: January 2025

O presente estudo examina o que se convencionou como a primeira fase da obra de Manoel Santiago (1897-1987), a partir das relações entre o interesse do pintor pela teosofia e sua produção visual. Com enfoque na demarcação estabelecida por Quirino Campofiorito (1902-1993), em 1958, investigamos a ascendência da doutrina sobre os trabalhos que o artista manauense enviou para o Salão oficial ao longo da década de 1920, mapeando, igualmente, o que escapa à baliza instituída pelo crítico. Por meio das interlocuções entre um referencial teosófico compartilhado, bem como o pensamento e soluções pictóricas elaboradas pelo artista, sugerimos uma sensibilidade comum.
Sobre estrelas e colchões
Authors: Simões Gabrieli Priscila
Published: January 2025

No contexto da exposição Arte Povera, na Bourse de Commerce – Pinault Collection, em Paris, este trabalho oferece um panorama geral da mostra, que explora o desenvolvimento da Arte Povera enquanto movimento artístico e destaca suas raízes históricas e seu impacto no cenário contemporâneo. Além disso, o trabalho discute, a partir da analise das escolhas curatoriais, o processo de institucionalização da Arte Povera.
Regulatory role of non-coding RNAs in 5-Fluorouracil resistance in gastrointestinal cancers
Authors: Zhang Heng , Tang Hailin , Tu Wenling , Peng Fu
Published: January 2025

Gastrointestinal (GI) cancers are becoming a growing cause of morbidity and mortality globally, posing a significant risk to human life and health. The main treatment for this kind of cancer is chemotherapy based on 5-fluorouracil (5-FU). However, the issue of 5-FU resistance is becoming increasingly prominent, which greatly limits its effectiveness in clinical treatment. Recently, numerous studies have disclosed that some non-coding RNAs (ncRNAs), including microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs), exert remarkable physiological functions within cells. In addition, these ncRNAs can also serve as important information communication molecules in the tumor microenvironment and regulate tumor chemotherapy resistance. In particular, they have been shown to play multiple roles in regulating 5-FU resistance in GI cancers. Herein, we summarize the targets, pathways, and mechanisms involved in regulating 5-FU resistance by ncRNAs and briefly discuss the application potential of ncRNAs as biomarkers or therapeutic targets for 5-FU resistance in GI cancers, aiming to offer a reference to tackle issues related to 5-FU resistance.
AI-driven design of fluorine-free polymers for sustainable and high-performance anion exchange membranes
Authors: Schertzer William , Shukla Shivank , Sose Abhishek , Rafiq Reanna , Otmi Mohammed Al , Sampath Janani , Lively Ryan P. , Ramprasad Rampi
Published: January 2025

As global demand for clean energy increases, fuel cells have emerged as a key technology for sustainable power generation. Anion exchange membrane (AEM) fuel cells offer a more economical and environmentally friendly alternative to the popular proton exchange membrane (PEM) fuel cells, which rely on fluorinated polymers and also use expensive platinum group catalysts. However, designing high-performance AEMs is challenging because of the need to balance conflicting material properties. In this study, we employ machine learning to accelerate the design of fluorine-free copolymers for AEMs, focusing on known monomer chemistries. By training models on AEM data from the literature, we predicted key properties, namely, hydroxide ion conductivity, water uptake (WU), and swelling ratio (SR). Screening 11 million novel copolymer candidates using predictive models and heuristic filters, we identified more than 400 promising fluorine-free copolymer candidates with predicted OH- conductivity greater than 100 mS/cm, WU below 35 wt%, and SR below 50%. This computational approach to AEM design could contribute to developing more efficient and sustainable AEM fuel cells for various energy applications.
Characteristics of Physicochemical Properties of Sago Starch (Metroxylon spp.) Varieties Rondo from Papua and Meranti from Riau
Authors: Kiptiyah Sakina Yeti , Virdamayana Khaerunnisa , Khairiah Khairiah
Published: January 2025

Indonesia has more than 90% of the world's sago area, 85% of which is in Papua Province and Western Indonesia, including Meranti Islands Regency and Riau Province. According to the Ministry of Agriculture of the Republic of Indonesia, the western region of Indonesia is the largest producer of sago production in Indonesia. The purpose of this study was to determine the physicochemical properties of sago starch of the rondo variety and the physicochemical properties of sago starch of the meranti variety. This research design used statistical analysis using a normality test then a uniformity test and continued with a repeated t test 6 times on sago flour from the Papua Rondo cultivar and the meranti cultivar from Riau. The parameters measured in this study were swelling and solubility, moisture content and carbohydrate content. The results of the study concluded that there were differences between the two types of arrowroot starch. The water content of sago starch (8.25%) of the rondo variety from Papua had a real influence on the water content of sago starch (13.5%) of the meranti variety of Riau, but did not have a real influence on its swelling capacity, solubility and carbohydrate content. An innovative product that is in accordance with the characteristics of sago flour from the rondo variety from Papua and the meranti variety from Riau is a biscuit.
Application of HACCP in Wheat Flour Milling Process In PT. XYZ
Authors: Andini Chairunnisa Putri
Published: January 2025

The implementation of HACCP (Hazard Analysis Critical Control Point) in PT. XYZ is carried out to prevent obstacles during the production process and increase consumer trust. PT. XYZ is a company engaged in the production of wheat flour to food and non-food products made from wheat. In the wheat flour production process, it goes through several important processes to produce products that meet the standards. The wheat flour production process passes through cleaning and milling which uses various types of equipment. The use of this equipment needs good monitoring and maintenance to be able to work and produce quality products that are trusted by consumers. So, to achieve this, an analysis was carried out which aims to determine the application of HACCP in the wheat flour production process in PT. XYZ. The analysis methods used were interviews, observation, and active participation in the production process in PT. XYZ. In the analysis of the application of HACCP in PT. XYZ, it was found that in the wheat flour production process there were no CCP (Critical Control Point) hazards that had a significant effect, but there were OPRP (Operational Pre Requisite Program) and PRP (Pre Requisite Program) hazards on several production machines used.
External Body Scores in Male Sakub Sheep Based on Different Physiological Age
Authors: Meliana Denis Agita , Agustinah Setyaningrum  , Akhmad Sodiq  , Agus Susanto
Published: January 2025

This study aims to determine the external body score, including body condition score (BCS), body fat percentage (BFP), plumpness index (PI), and body conformation index (BCI), of male Sakub sheep at different physiological ages (lambs vs rams). The research was conducted from October to December 2023 in Pandansari Village, Paguyangan District, and Wanareja Village, Sirampog District, Brebes Regency, Central Java. The data were collected following purposive random sampling procedure and the Nomograph Harry King formula of which 118 male Sakub sheep (59 lambs and 59 rams) were sampled. The data were analyzed using the chi-square test to determine suitability or differences in each category and parameter. The results showed that the average values for lambs and rams are as follows: (1) body condition score of 3 ± 0.59 and 3.5 ± 0.50, (2) body fat percentage of 13.72 ± 2.55 and 15.94 ± 2.22, (3) plumpness index of 0.87 ± 0.02 and 0.88 ± 0.01, and (4) body conformation index of 0.29 ± 0.02 and 0.30 ± 0.01. It can be concluded that rams possess superior body condition and fat reserves, which may reflect their advanced physiological development and greater muscle mass relative to younger animals. This information is critical for optimizing management strategies in Sakub sheep production, particularly in breeding and selection programs aimed at enhancing productivity and carcass quality. Further research is warranted to explore the genetic and environmental factors influencing these traits.
Phytochemical and Metabolomic Profiles of Ethanolic Extract of Curculigo pilosa Rhizomes for Animal Health
Authors: Adebisi Adenike Abosede , Akintunde Adeyinka Oye , Tayo Grace Oluwatoyin , Animashaun Rufus Olusegun
Published: January 2025

Curculigo pilosa is traditionally used in herbal medicine. This study aims to provide information on the secondary metabolites present in C. pilosa rhizomes powder, considering the growing interest in ethnomedicines in recent times. The rhizomes of C. pilosa were purchased from markets around Ogere, Ogun State, Nigeria. They were authenticated by a botanist, after which the rhizomes were washed and extracted using ethanol. The phytochemical composition and metabolomic profiles of the ethanolic extracts of C. pilosa were determined using gas chromatographic-mass spectrometric (GC-MS) methods. The results showed that the ethanolic extracts of C. pilosa had higher concentrations of phenols (9.27 ± 0.55 mg GAE/g), alkaloids (6.22 ± 1.95 g/100g), flavonoids (0.66 ± 0.05 g/100g), and saponins (0.51 ± 0.02 g/100g), but lower concentrations of glycosides (0.06 ± 0.01 g/100g), steroids (0.20 ± 0.02 g/100g), and tannins (0.09 ± 0.01 g/100g). The twenty-one bioactive compounds found in the extract include tetraethyl silicate (C₈H₂₀O₄Si), benzene, 1,2-dimethoxy- (C₈H₁₀O₂), 5-dodecene, (Z)- (C₁₂H₂₄), 7-tetradecene, (E)- (C₁₄H₂₈), spirohexane-1-carboxylic acid, ethyl ester (C₉H₁₄O₂), 1-dodecanol, 2-octyl- (C₂₀H₄₂O), formaldehyde, methyl (2-propynyl) hydrazone (C₅H₈N₂), D-allose (C₆H₁₂O₆), cyclohexane, 1R-acetamido-2cis,4trans-bis(acetoxy)-3trans-azido- (C₁₂H₂₂N₄O₅), 5-octadecene, (E)- (C₁₈H₃₆), acetamide, 2-(4-hydroxy-3-methoxyphenyl)- (C₁₁H₁₅NO₃), cyclopentanol, 1-(1-methylene-2-propenyl)- (C₉H₁₄O), 1,9-tetradecadiene (C₁₄H₂₆), 9-eicosine, (E) (C₂₀H₄₀), hexadecyl propyl ether (C₁₉H₄₀O), 9-octadecene, (E)- (C₁₈H₃₆), linoleic acid ethyl ester (C₂₀H₃₄O), 2-methyl-Z,Z-3,13-octadecadienol (C₁₉H₃₆O), 3-octadecene, (E)- (C₁₈H₃₆), 3-heptadecenal (C₁₇H₃₂O), tricyclo[5.4.3.0(1,8)] tetradecan-6-one, and 4-ethenyl-3-hydroxy-2,4,7,14-tetramethyl (C₂₀H₃₂O₂). Some of the phytocompounds identified in this study are biologically important and exhibit antimicrobial, antioxidant, and anti-inflammatory properties, which may hold therapeutic potential for both animal and human health.
Developing Social Trustworthiness of the Halal Fried Chicken MSMEs’ Value Chain in Malang
Authors: Winarto Priyo Sugeng , Akhiroh Puji , Budi Hartono  , Nanang Febrianto  , Hari Dwi Utami  , Khotibul Umam  , Juwaidah Sharifuddin
Published: January 2025

The value chain is an essential framework for understanding how industries create and sustain value for consumers or target markets. It encompasses various activities that contribute to delivering valuable products, such as supplier, channel, and buyer value chains. The primary activities in the value chain include inbound logistics, operations, outbound logistics, marketing and sales, and service. This study analyzes the value chain, focusing on halal fried chicken MSMEs, in the Malang Raya. A quantitative descriptive method was employed, involving 56 randomly selected respondents, starting from MSMEs' owners, managers, and operational staff. Data collection techniques included a survey method with questionnaires, in-depth interviews, and observations. The analysis utilized a Likert scale to measure key value chain elements such as inbound logistics, operations, outbound logistics, marketing, and service. The results indicate that the halal value chain ecosystem in Malang Raya is well-established. Respondents agreed that critical activities such as material storage, smooth distribution, product quality control, customer service, and satisfaction significantly impact the success of MSMEs in the region. This study highlights the importance of halal certification and optimal value chain management to enhance product competitiveness in local and international markets. These findings provide insights for policymakers to support the development of the social trustworthiness of the halal value chain ecosystem, ensuring that MSMEs remain competitive in the growing halal food sector.
Complete Feed Silage Innovation: Utilization of Agro-Industry By-Products with Chestnut Tannin as Additives
Authors: Sadarman Sadarman , Febrina Dewi , Febriyanti Rahmi , Peter Reski , Zulkarnain Zulkarnain , Sirajuddin Sirajuddin , Gazali Imam , Hafid Agus , Qomariyah Novia , Sastrawan Sandri , Prihambodo Tri Rachmanto
Published: January 2025

This study evaluated the effect of chestnut tannin as a silage additive on agro-industrial by-products for animal feed. The research utilized a Completely Randomized Design with five treatments and five replications. The treatments were T1 (Complete Feed as control) and T2, T3, T4, and T5 with chestnut tannins at 0.50%, 1%, 1.50%, and 2% DM, respectively, all fermented for 30 days at room temperature. Observed parameters included proximate analysis (crude protein, crude fat, crude fiber, and ash), temperature, humidity, mold growth, dry matter loss, physical quality of silage (texture, aroma, color), and fresh silage quality. The data were analyzed using variance analysis and DMRT at a 5% significance level. The results showed that the addition of 2% chestnut tannin can produce silage with relatively higher crude protein, while oil fat and crude fiber are relatively the same as other treatments; however, the addition of 2% chestnut tannin tends to produce silage with ash content relatively lower than other treatments. Chestnut tannins significantly affected (P<0.05) moisture, texture, aroma, ammonia, and total VFA of fresh silage. In conclusion, adding 1.50-2% chestnut tannins to complete feed silage reduces dry matter loss, protects crude protein, maintains physical quality, inhibits mold growth, and stabilizes temperature, resulting in high-quality silage.
The Appearance of Whale Sharks (Rhincodon typus) Based on Environmental Factors in Kwatisore Waters, Nabire Regency, Central Papua Province
Authors: Maruanaya Yan
Published: January 2025

The appearance of whale sharks (Rhincodon typus) is related to the availability of food in a water area, and it has become a tourist attraction which requires integrated management to prevent it from becoming threats to whale sharks. The appearance of whale sharks is regular throughout the year with the highest number of individuals occurring only in Kwatisore waters. This study aims to examine the bio-ecology of whale sharks related to their appearance based on individuals, quantity, time of appearance, and sex. Primary data collection carried out from January 16 to March 26, 2023, using a census method on 4 units of fishing lift-net deployed in Kwatisore waters. The results showed that 21 individual whale sharks appeared with a total of 225 occurrences in January, 245 occurrences in February, and 248 occurrences in March. There was also one new individual that migrated into Kwatisore waters with the ID number 184. Whale shark appearances mostly happened in the morning and the appearance percentage was 100% male with a total length ranging from 3 to 7.5 m. Environmental factors in Kwatisore waters were in normal conditions supporting the appearance of whale sharks. Keywords: Whale sharks, appearance, new individual, environmental factors
Dualism in China’s Strategic Culture Implementation Through ‘Confucian-Pacifism’ and ‘Cultural Realism’ in Tackling Border Problems
Authors: Aldora Cecilia
Published: January 2025

This paper explores the dualism in China's Strategic Culture based on its responses to territorial disputes with countries like Japan, India, and Taiwan. Unlike just one strategic culture for a state, this research demonstrates that China simultaneously enacts two distinct, almost contradicting in a way of strategic cultures: Confucian Pacifism and Cultural Realism. Whereas Confucian Pacifism is dialogical and harmony-oriented, Cultural Realism carries the act of pragmatism entailing threats or use of force. Dualism created by these two strategic cultures is what one needs to recognize in order to really appreciate the multi-dimensional with which China has treated international relations and border conflict. This paper discusses how these two strategic cultures interact and influence decision-making in influencing China's behavior on the global stage, especially in response to territorial disputes with its neighboring countries.
Islam and Samin: Study of the Relationship between Religion, Beliefs, and Values of the Samin Community
Authors: Mubarok Alfi Rizkia
Published: January 2025

This research presents a study of the relationship between religion, beliefs and values ​​of the Samin community in Bojonegoro. An ethnic community that has unique traditions and values ​​in Indonesia. This research aims to understand how Samin values ​​adapt to Islamic teachings and the interaction between the two belief systems in everyday life. This research uses social construction theory from Peter L. Berger. This theory explains a belief that also functions as a view that advertising shows ways of connecting with other humans that can be learned from studying culture and society in general. The research is based on the results of a survey conducted in Bojonegoro. The method used is sampling. Through a qualitative approach, this research identifies the challenges and synergies that arise from this relationship, as well as their impact on the identity of the Samin community.
Political Citizenship : Protection of Prisoners Political Rights by KPU Ciamis in General Elections 2024
Authors: Pratama Aldi Septian , Gunawan Hendra , Gustaman Randy Fadillah
Published: January 2025

This research discusses the protection of political rights of prisoners of Lapas Kelas  IIB Ciamis by KPU Ciamis  in General Election 2024. This study uses political citizenship to describe how the prisoners' struggle and the KPU's efforts to protect the political rights of prisoners through the four dimensions of citizenship politics. This research is a qualitative research with a case study method. The results show that there are still 17 out of 322 prisoners who are  not protected by their political rights and cannot vote in elections. The struggle of prisoners includes four dimensions of citizenship politics, namely the dimensions of membership, legal status, political rights, and participation. KPU also applies new methods and improves the process of protecting the political rights of prisoners. Interaction occurred between the prisoners and the KPU and conflicts were inevitable which caused 17 prisoners to lose their political rights.
Women as Avengers: Semiotic Analysis of the Film Peppermint
Authors: Ramadhani Aulia Rusyda , Hariyadi Hariyadi , Santoso Joko
Published: January 2025

In this study, the film used as the object of research is the film Peppermint which was released in 2018. This study aims to determine how the representation of masculinity in female characters and its relationship to acts of revenge due to legal injustice in the film Peppermint. Based on the results of the study, it can be seen that in the film Peppermint there is a form of masculinity played by the main female character, namely Riley. The forms of masculinity include the use of weapons and dark clothing, creating fear for their enemies, independent and rational nature, and courage. This indicates that women can adopt masculine roles as a strategy to face getting the rights and justice they seek. In addition, there is a link between masculinity depicted through the main female character, namely the character Riley using masculine behavior as a basis for carrying out acts of revenge.
Editorial: Environmental Issues and Globalization: A Three State-Market Approaches
Authors: Mahayasa Dias Pabyantara Swandita
Published: January 2025

Environmental Issues and Globalization: A Three State-Market Approaches
Formulación de hongos y nematodos entomopatógenos para el control de Heliothis virescens (Fabricius) en tomate
Authors: García Gutiérrez Cipriano , Meza Villezcas Héctor Manuel , Pérez-Álvarez Sandra , Cortez Mondaca Edgardo
Published: January 2025

Se evaluó en laboratorio la patogenicidad de un formulado en emulsión del hongo Metarhizium anisopliae y la virulencia de los nematodos Steinernema riobrave y Rhabditis blumi en cápsulas de alginato contra larvas de tercer instar del gusano del fruto del tomate Heliothis virescens (Fabricius). Se determinó el porcentaje de mortalidad de larvas a diferentes tiempos. En campo, se evaluó la efectividad de los tratamientos testigo (agua), Abatec (control químico), M. anisopliae en emulsión, M. anisopliae Metasin y S. riobrave encapsulado para el control de H. virescens. En laboratorio, M. anisopliae en emulsión causó 90 % de mortalidad de larvas a una concentración de 1 × 108 esporas/mL a las 120 h, mientras que en S. riobrave encapsulado fue de 100 % y en R. blumi de 85 % a dosis de 100 y 500 juveniles infectivos/mL post infección a las 144 h. En campo, Abatec mostró la menor cantidad de frutos dañados por el gusano del fruto (2.31 t/ha), seguido de S. riobrave encapsulado (2.7 t/ha), M. anisopliae en emulsión (2.85 t/ha) y M. anisopliae (3.5 t/ha). En la producción total de tomate no hubo diferencias significativas, pero si entre los frutos de calidad comercial, siendo Abatec el mejor tratamiento seguido de M. anisopliae en emulsión, S. riobrave encapsulado y M. anisopliae. La formulación de M. anisopliae en emulsión y la de S. riobrave encapsulado fueron efectivas para el control del gusano del fruto H. virescens a las dosis evaluadas.
Tracking of Fin Whales Using Their Calls Recorded by Triplets of Hydrophones
Authors: Le Bras Ronan , Nielsen Peter
Published: January 2025

Whale signals originating in the vicinity of a triplet of underwater hydrophones, 2 km distant from each other, and recorded at the three hydrophones, offer the opportunity to verify simple models of propagation applied in the immediate neighborhood of the triplet, by comparing arrival times and amplitudes between the three hydrophones. Examples of recordings of individual fin whales based on the characteristics of their vocalizations around 20 Hz, passing by hydrophone triplets are presented. Conclusions are drawn about waveform coherency and amplitudes of the signals recorded at the three hydrophones in the [10-50] Hz frequency band. A grid-search method of tracking the calls is presented based on time differences of arrivals between three hydrophones obtained with a combination of power detector time picking and cross-correlation. The spherical amplitude decay law of one over the distance is verified using amplitude ratios between two of the hydrophones, when the cetacean is in the immediate vicinity of the triplet, in a circle of radius 1.5 km sharing its center with the triplet. In turn, the measurement of the amplitude ratios between two hydrophones allows for an estimate of the depth of vocalization when the animal is within 250 m of horizontal distance of one of the hydrophones. Analysis of hundreds of calls leads to the possibility that more accurate coordinates and depth of the hydrophones are needed to unambiguously verify the laws of propagation, or that more elaborate non-isotropic models of propagation are needed.
Semicentennial Tillage Significantly Affects the Soil Evolution in Arid Regions of China
Authors: Xiao Ying , Ye Mingliang , Zhang Jing , Chen Yamin , Sun Xinxin , Li Xiaoyan , Song Xiaodong
Published: January 2025

Quantifying the rates of soil evolution greatly benefits our understanding of soil formation and management, especially in the context of strong anthropogenic activities and climate change. This study investigated soil evolution in an artificial oasis region with a reclamation history of more than 50 years, and critical soil properties were measured at 77 sites. A total of 462 soil samples were collected down to a depth of 1 m. A total of seven critical soil properties were analysed, and four (i.e., soil organic carbon (SOC), total phosphorus (TP), pH, and ammonium nitrogen (NH4+)), which were not closely correlated with each other, were selected for further investigation. Through comparison with desert soils, this investigation found that semicentennial cultivation resulted in significant changes in soil properties, with strong vertical variations, including increases in the C, N and P contents and decreases in pH throughout the whole profile. The temperature, clay content, evaporation rate between the topsoil and subsoil, low vegetation cover, cotton lateral roots, irrigation and fertilization played crucial roles in promoting SOC decomposition and reducing soil alkalinity, thereby contributing to rapid soil evolution. Thus, reclaimed desert soil was scientifically confirmed to be suitable for agricultural use, which will ease the food production crisis, protect the environment, and promote soil evolution. Furthermore, three-dimensional digital soil mapping was performed to investigate the effects of long-term cultivation on the distributions of soil properties at unvisited sites. The soil depth functions were separately fitted to model the vertical variation in the soil properties, including the exponential function, power function, logarithmic function and cubic polynomial function, and the parameters were extrapolated to unvisited sites via the quantile regression forest (QRF), boosted regression tree and multiple linear regression techniques. The QRF technique yielded the best performance for SOC (R2= 0.78 and RMSE = 0.62), TP (R2 = 0.79 and RMSE = 0.12), pH (R2 = 0.78 and RMSE = 0.10) and NH4+ (R2 = 0.71 and RMSE = 0.38). The results showed that depth function coupled with machine learning methods can predict the spatial distribution of soil properties in arid areas efficiently and accurately. These research conclusions will lead to more effective targeted measures and guarantees for local agricultural development and food security.
Embodied AI Agent for Co-creation Ecosystem: Elevating Human-AI Co-creation through Emotion Recognition and Dynamic Personality Adaptation
Authors: Jia Fernando , Fu Yuteng , Zheng Jade , Li Florence
Published: January 2025

Embodied AI agents have the potential to revolutionize human-computer interactions by enabling experiences that are both highly creative and deeply empathetic. While platforms like Gennie2, World Labs, and MineDojo primarily focus on real-world simulations and task-oriented functionalities, we shift the emphasis toward creative expression, underscoring the pivotal role of the creator in crafting immersive, emotionally attuned, and personalized user experiences. In this paper, we present an advanced embodied AI agent that synthesizes state-of-the-art Large Language Models (LLMs) with sophisticated emotion and intent recognition modules to enable rich, context-aware interactions. Our approach integrates cutting-edge emotion analysis to interpret subtle emotional signals and a zero-shot classification pipeline that accurately infers user intentions without extensive labeled data. In addition, a dynamic personality adaptation framework inspired by the OCEAN model continuously updates the agent conversational style and tone in real time, promoting long-term engagement and user satisfaction. This proactive creativity and emotional attunement address the limitations of existing systems that rely on purely reactive responses. We evaluate our agent performance on three key metrics, (1) emotion recognition accuracy, (2) intent recognition coverage, and (3) response quality, demonstrating substantial improvements over baseline models. By merging advanced LLM technology with emotional intelligence and adaptive personalization, our work broadens the horizons of embodied AI, empowering creators to design interactive, emotionally rich and personalized experiences. Ultimately, we position our agent at the intersection of AI, human cognition, and the creative arts, envisioning a future where technology becomes a true collaborator in innovative processes, rather than a mere replicator of reality.
Adjustment of Stress Induced by Ultrafast Laser Modified Silica Glass in Burst Mode
Authors: Ye Yunxia , Li Rui , Liu Yang , Dong Shenshen , Xiao Mingyang , Yu Xiangtao , Tian Feng
Published: January 2025

During the process of ultrafast laser modification of silica glass, the focal spot typically exhibits a strong central area and a weaker periphery. Furthermore, due to the plasma shielding effect, pulse energy cannot be effectively transferred into the silica glass, which makes it challenging to accurately predict the stress generated during the laser modification process. This study investigates the ultrafast laser energy modification of silica glass through both simulations and experiments, determining the stress distribution both during and after the laser processing. A single pulse is temporally modulated into burst pulses for processing silica glass, and the functional relationship between stress values and laser parameters (pulse energy and the number of sub-pulses in burst mode) is established. The modified silica glass is then subjected to wet etching to reduce or eliminate the residual stress, and a functional relationship is developed to describe the process. The silica glass pendulum was successfully fabricated by using the proposed technology in this study, with its overall maximum stress value precisely controlled to ensure it does not exceed 35.8 kPa.
Nematicidal Activity of Moringa oleifera Water Extracts and a Novel Rhizobacterium for the Suppression of Meloidogyne incognita in Tomato
Authors: Azeem Wajahat , Mukhtar Tariq , Inam-ul-Haq Muhammad , Khan Muhammad Azam , Ibrahim Muhammad Suhail , Hassan Ahmad , Regmi Homan , Duncan Larry Wayne
Published: January 2025

Root-knot nematodes (Meloidogyne spp.) are major pests of vegetable crops, causing significant yield losses in numerous species worldwide. Their widespread distribution and polyphagous nature make them particularly challenging to manage effectively. The use of biological agents and botanical extracts has emerged as a sustainable alternative to chemical nematicides. The present study evaluated the effectiveness of aqueous extracts from Moringa oleifera and a novel strain of plant growth-promoting rhizobacteria, Bacillus australimaris strain LWD73, native to Florida, in reducing Meloidogyne incognita infection and enhancing plant growth. The combined application of M. oleifera extracts and B. australimaris LWD73 significantly reduced the number of galls, eggs per root system, second-stage juveniles (J2) per 60 cc of soil, and the nematode reproduction factor. Moreover, it improved key growth parameters in tomato cultivar HM1824. Fourier Transform Infrared Spectroscopy (FTIR) and Gas Chromatography-Mass Spectrometry (GC-MS) analyses of M. oleifera extracts identified antimicrobial and nematicidal phytochemicals. Similarly, solid-phase microextraction GC-MS (SPME-GC/MS) analysis of B. australimaris LWD73 revealed the presence of volatile organic compounds (VOCs), including 2-nonanone and 2-undecanone, which are known for their potent nematicidal properties. The synergistic application of M. oleifera and B. australimaris LWD73 demonstrated enhanced nematode suppression and improved plant growth, offering a promising, eco-friendly approach to managing root-knot nematodes in vegetable crops.
Effects of Different Water Treatments on Physiological Characteristics of Film Free Cotton in Southern Xinjiang
Authors: Su Feiyan , Guo Ziyang , Wu Bingrong , Wang JiChuan , Chen Shuangrong
Published: January 2025

In order to explore the effects of different irrigation methods on the physiological characteristics of film free cotton in southern Xinjiang, the following experiments were carried out: (1) Different irrigation amounts test: 300, 375, 450, 525 and 600 mm (represented by W1, W2, W3, W4 and W5) and a control (450 mm for film free cotton, represented by WCK) were set; (2) Drip irrigation frequency test: drip irrigation 12 times, 10 times, 8 times and 6 times during the growth period (expressed as P12, P10, P8 and P6), chlorophyll fluorescence, leaf area index, SPAD, single leaf photosynthesis, stress enzyme activities and MDA content were observed. The results showed that: compared with film cotton, the average leaf green fluorescence parameters of film free cotton under suitable water treatment (W3 and W4) decreased by 9.03%~50.44%, the photosynthetic indexes (Pn: net photosynthetic rate, Gs: stomatal conductance, Tr: transpiration rate, Ci: intercellular CO2 con-centration) decreased by 4.64%-12.93%, the activities of protective enzymes (SOD: superoxide dis-mutase, POD: peroxidase) decreased by 3.36%-3.58%, the SPAD value decreased by 5.55%, and the MDA content increased by 3.17%, indicating that film free cotton reduced the physiological function of cotton leaves, and the yield decreased by 42.07%. With the increase of irrigation water and irriga-tion frequency, the initial fluorescence (F0) of leaves in each period of film free cotton showed a downward trend, and the maximum fluorescence (Fm), variable fluorescence (FV), maximum pho-tochemical efficiency (FV/Fm), potential photochemical activity of PS Ⅱ (FV/F0), electron transfer of PS Ⅱ (Fm/F0), and photosynthetic performance index (PIABS) showed an upward trend. In all water treatments, W3 and P12 had the highest SPAD value, photosynthetic index and protective enzyme activity, and the lowest MDA content, which was significantly different from other treatments ex-cept W4 and P10. The yield order of different treatments was W3>W4>W5>W2>W1, and the differ-ence between W3 and W4 was not significant, but significant with W2 and W1; The irrigation fre-quency test was P12>P10>P8>P6, and there was no significant difference between P12 and P10. Conclusion: no film mulching has a certain impact on the physiological function of cotton leaves. When the irrigation amount is 450-525 mm and irrigation times is 10-12 times, it is beneficial to play the physiological function of film-free cotton leaves, which can provide reference for water man-agement in production practice.
Recent Advances in Industrial Applications of Biofilms by Bibliographic Analysis
Authors: Ding Yuanzhao
Published: January 2025

Biofilms are structured microbial communities embedded in self-produced extracellular polymeric substances (EPS), offering protection and resilience in diverse environments. While harmful biofilms can cause antibiotic-resistant infections, beneficial biofilms have transformative industrial applications, such as pollutant removal, bioremediation, and electricity generation through microbial fuel cells. These applications utilize biofilms' natural capabilities, including pollutant degradation and electron transfer. This paper investigates biofilm industrial applications by conducting a bibliographic analysis of 1,000 recent studies. It identifies key research trends, organizations, and countries/regions leading biofilm innovation. Case studies highlight biofilm-based technologies and their integration into environmental and energy solutions. Additionally, the study explores the potential of big data and machine learning to enhance biofilm applications, suggesting a future where predictive models based on extensive biofilm databases optimize performance and efficiency. This research provides critical insights into biofilm applications, offering a roadmap for advancing sustainable innovations and addressing global challenges effectively.
MNIST Dataset Heatmap Classifier
Authors: Łuczka Krzysztof
Published: January 2025

In this paper, a simple heatmap-based classifier is proposed that uses average pixel values from training data to assess image similarity to individual classes. The classifier was tested on the MNIST dataset, achieving an accuracy of 66.85% in the basic version and 81.31% in the version with region of interest (ROI) extraction and interpolation. The training process has a time complexity of O(n), and the evaluation of the classifier has a time complexity of O(1). The presented method is simple to implement and fast to train. The paper discusses potential directions for further research, including data augmentation and integration with deep learning models, such as convolutional networks, or other machine learning algorithms, e.g. k-nearest neighbors, which can significantly improve the effectiveness of the classifier.
Prognostic Factors in Secondary Generalised Peritonitis
Authors: Lutenco Valerii , Beznea Adrian , Mihailov Raul , Țocu George , Lutenco Verginia , Mihailov Oana Mariana , Patriciu Mihaela , Pascaru Grigore , Baroiu Liliana
Published: January 2025

Introduction: Acute secondary peritonitis is a common clinical condition encountered in emergency hospital units, affecting a wide range of patients. The mortality rate for these patients is high and increases with the onset of sepsis, while the risk factors associated with poor outcomes remain under debate. The aim of this study was to analyze the prognostic factors that increase morbidity and mortality in generalized secondary peritonitis. Generalized secondary peritonitis accounts for approximately 1% of emergency hospital admissions. Mortality in generalized secondary peritonitis remains high, ranging from 6% to as much as 55% in cases of severe sepsis, according to various studies. Materials and methods: This study was conducted by searching publications listed on the most prominent search engines and identifying the most relevant articles from our perspective, with a focus on prioritizing studies from recent years. Results/Discussion: Multiple prognostic factors were identified in the studied articles, including age, the presence of associated conditions (cardiovascular, renal, hepatic, neurological, metabolic, oncological), preoperative time, type of peritonitis, septic shock, or severe sepsis. Conclusions: The most consistent prognostic factors increasing morbidity and mortality were advanced age, cardiovascular diseases, chronic renal failure, cancer, and sepsis. Scoring systems greatly assist us in daily practice, and the simpler they are, the more practical they become. Artificial intelligence is making its way into all fields, promising to revolutionize the monitoring of patients with peritonitis.
Real-time Traffic Heatmap Analysis and Visualization for New York City: An Integrated Approach Using Streaming Data and Weather Information
Authors: Chen Zhenrui , Hu Mingzhe , Wang Yukun , Chen Junyu , Su Miaobin
Published: January 2025

Stock market prediction presents a significant challenge due to its inherent complexity and chaotic nature. While machine learning has been applied to financial markets since the 1980s, achieving reliable predictions remains difficult. This paper presents a comprehensive approach to stock price prediction and trading optimization through the implementation of three distinct machine learning methods: Linear Regression (LR), Long Short-Term Memory (LSTM), and Autoregressive Integrated Moving Average (ARIMA). We develop and compare these models using historical data from five major stocks (Apple, Coca-Cola, NVIDIA, Pfizer, and Tesla) over a three-year period. Our contribution is twofold: First, we conduct a systematic comparison of these three prediction methods, revealing that ARIMA consistently achieves superior performance across all tested stocks. Second, we implement these models in a practical web-based trading system that provides real-time predictions and trading recommendations. The system features a Reactbased frontend with Ant Design components and a Spring Boot backend, offering functionalities including trend visualization, detailed stock information, and automated trading suggestions.
Forecasting Exchange Rates Using Time Series: A Case Study of the Currency of Kyrgyzstan
Authors: Doszhanov Ermek
Published: January 2025

Accurate forecasting of exchange rates plays a huge role in the lives of the vast majority of the population. The work of various businesses, policymakers and economists is extremely dependent on the right tools for forecasting exchange rates, due to their significant implications for domestic and foreign trade, investment strategies, and economic planning. This paper focuses on modelling daily exchange rates between Kyrgyz som (KG som) and US dollar, and compares the actual data with developed forecasts using time series analysis over the period from 2010 to 2023. The official daily currency exchange data of National Bank of the Kyrgyz Republic is processed in the study. Three ML algorithms, Random Forest regressor, CatBoost regressor and multiple linear regression (MLR), are compared with triple exponential smoothing (Holt-Winters) and Prophet models. The goal of the study is to define how effectively the above methods predict changes in the exchange rate of the KG som to the US dollar. The accuracy of the forecasts is evaluated by Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE). This study can be considered as the first academic study on time series forecasting of the national currency of Kyrgyzstan. The implicit idea of the work is to open up this area to researchers. Therefore, the study can be extended in the future by adding other methods and models.
Decentralized Intelligence in GameFi: Embodied AI Agents and the Convergence of DeFi and Virtual Ecosystems
Authors: Jia Fernando , Zheng Jade , Li Florence
Published: January 2025

In the rapidly evolving landscape of GameFi, a fusion of gaming and decentralized finance (DeFi), there exists a critical need to enhance player engagement and economic interaction within gaming ecosystems. Our GameFi ecosystem aims to fundamentally transform this landscape by integrating advanced embodied AI agents into GameFi platforms. These AI agents, developed using cutting-edge large language models (LLMs), such as GPT-4 and Claude AI, are capable of proactive, adaptive, and contextually rich interactions with players. By going beyond traditional scripted responses, these agents become integral participants in the game's narrative and economic systems, directly influencing player strategies and in-game economies. We address the limitations of current GameFi platforms, which often lack immersive AI interactions and mechanisms for community engagement or creator monetization. Through the deep integration of AI agents with blockchain technology, we establish a consensus-driven, decentralized GameFi ecosystem. This ecosystem empowers creators to monetize their contributions and fosters democratic collaboration among players and creators. Furthermore, by embedding DeFi mechanisms into the gaming experience, we enhance economic participation and provide new opportunities for financial interactions within the game. Our approach enhances player immersion and retention and advances the GameFi ecosystem by bridging traditional gaming with Web3 technologies. By integrating sophisticated AI and DeFi elements, we contribute to the development of more engaging, economically robust, and community-centric gaming environments. This project represents a significant advancement in the state-of-the-art in GameFi, offering insights and methodologies that can be applied throughout the gaming industry.
The Unpaved Road of Non-Coding RNA Structure-Function Relationships: Current Knowledge, Available Methodologies and Future Trends
Authors: Leitão Ana Lúcia , Enguita Francisco J.
Published: January 2025

The genomes from complex eukaryotes are enriched in non-coding genes whose transcription products (non-coding RNAs) are involved in the regulation of genomic output at different levels. Non-coding RNA action is predominantly driven by sequence and structural motifs that interact with specific functional partners. Despite the exponential growth in primary RNA sequence data facilitated by next-generation sequencing studies, the availability of tridimensional RNA data is comparatively more limited. The subjacent reasons for this relative lack of information regarding RNA structure are related to the specific chemical nature of RNA molecules and the limitations of the current available methods for structural characterization of biomolecules. In this review, we describe and analyze the different structural motifs involved in non-coding RNA function, and the wet-lab and computational methods used to characterize their structure-function relationships, highlighting the current need for detailed structural studies to explore the molecular determinants of non-coding RNA function.