cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2024.510
title: Toughening and functionalizing degradable polylactic acid films using MXene and its surface-modified derivatives

description: Polylactic acid (PLA) is a degradable polymer with widespread applications in packaging, biomedical devices, and electronics. However, high brittleness and limited mechanical strength restrict its use in load-bearing applications. This study aims to enhance the mechanical, electrical, and barrier properties of PLA films by incorporating MXene (Ti₃C₂Tₓ) and alkyl ketene dimer (AKD)-modified MXene (MX-D). MXene was synthesized from the MAX phase (Ti₃AlC₂) using fluoride-based etching, followed by AKD modification through ball milling to improve dispersion and compatibility with the PLA matrix. Composite films were fabricated via a solution casting method,with varying MXene contents (5-30 wt%), to evaluate their impact on the film’s structural and functional performance. The mechanical properties demonstrated that adding MXene significantly improved tensile strength and Young’s modulus, with the highest reinforcement observed at 15 wt% MXene. However, at 30 wt%, agglomeration reduced ductility, highlighting the need for optimized filler dispersion. Alternatively, AKD modification effectively enhanced MXene distribution, increasing elongation at break and improving the toughness of the composite films. For example, the elongation at break increased from 4.6% in neat PLA to 26.3% with 5 wt% MXene. With AKD-modified MXene, it further increased to 54.7%. The results demonstrate a significant improvement in ductility and mechanical performance. The thermal properties indicated that MXene acted as a nucleating agent, promoting higher PLA crystallinity, while AKD-modified MXene disrupted polymer alignment, reducing crystallinity. UV-Vis spectroscopy revealed that increasing MXene content reduced light transmittance, making these composites suitable for UV-blocking applications. Additionally, water vapor permeability (WVP) analysis showed that 5 wt% MXene improved moisture barrier properties, enhancing its potential for food packaging applications. The electrical conductivity results confirmed that at 30 wt% MXene, the composite exhibited a conductivity of 2.91×10-⁵ S/cm, while a 50 wt% content significantly increased conductivity to 1.22×10-² S/cm, demonstrating the potential for electromagnetic shielding and antistatic applications in real-world flexible electronics and packaging. The combined mechanical strength, moisture resistance, and electrical conductivity improvements enable PLA/MXene and PLA/MX-D composites to be multifunctional materials for advanced applications, especially in flexible electronics, protective coatings, and sustainable packaging. Future research should focus onoptimizing large-scale fabrication techniques such as extrusion and injection molding, along with long-term stability assessments to ensure these composite materials’ industrial viability and environmental sustainability.
DOI: 10.14457/tu.the.2024.511
title: Preparation and characterization of poly (lactic acid)/rice straw cellulose bio-composite films for packaging applications

description: The development of sustainable and biodegradable poly(lactic acid) (PLA) bio-composite films using cellulose fibers extracted from rice straw (RSC), a major agricultural waste product in Southeast Asia. This study tackles pressing environmental issues arising from the excessive use and improper disposal of petroleum-based plastics, focusing on single-use applications such as food packaging. Rice straw cellulose was extracted through a chemical process involving alkaline, bleaching, and acidic treatments, resulting in cellulose fibers with enhanced purity. These cellulose fibers were subsequently modified with alkyl ketene dimer (AKD), a cost-effective and hydrophobic reagent with food-safe properties. Eco-friendly, solvent-free ball-milling and thermal treatment processes were employed to improve their compatibility with the hydrophobic PLA matrix. The success modification was verified by Fourier-transform infrared (FTIR) spectroscopy, demonstrating the reaction between the lactone ring of AKD and hydroxyl groups (-OH) of cellulose successfully generated β-ketoester bonds, reflected by a new band at 1735 cm-1, which imparted hydrophobic characteristics to the cellulose surface and improved dispersion within the PLA matrix.The PLA/RSC bio-composite films were prepared using a solvent-casting method with cellulose fiber contents varying between 1-7 %wt. The films' mechanical properties, water vapor permeability (WVP), and hydrophobicity (water contact angle) were investigated. The results indicated significant improvements in mechanical properties, including tensile strength and elongation at break, particularly at a 3 %wt loading of the AKD-modified cellulose. The films also exhibited enhanced hydrophobicity, with water contact angles increasing to 91.5°, demonstrating improved water resistance compared to neat PLA films. Furthermore, the inclusion of modified cellulose maintained the water vapor permeability of the films, ensuring their suitability for packaging applications that require effective moisture control. By transforming rice straw into high-performance bio-composite films, this research promotes a bio-circular economy, reduces environmental pollution, and creates value-added products. Moreover, the developed PLA/RSC bio-composite films present a promising eco-friendly for smart packaging applications.
DOI: 10.14457/tu.the.2024.512
title: Forecasting cryptocurrency prices using artificial neural networks

description: In an era of high volatility in cryptocurrency markets, this study provides evaluation of Artificial Neural Network (ANN) models for forecasting the prices of three major assets: Bitcoin (BTC), Ethereum (ETH), and Binance Coin (BNB). The research systematically investigates the impact of model architecture on predictive accuracy as measured by Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE). The findings reveal that a moderately complex architecture with two hidden layers consistently yields the best forecasting performance across all three cryptocurrencies. However, the optimal node configuration varies by asset, indicating that model must be tailored to the unique characteristics of each coin. Furthermore, this study translates these forecasts into practical trading strategies based on signal thresholds and evaluates their performance against a traditional buy-and-hold strategy. Although the ETH-based strategy had the highest daily return (0.19%), the BNB-based strategy was clearly better when adjusting for risk, with a higher Sharpe Ratio of 2.82, showing strong returns for the amount of risk taken. Despite these promising results, a conclusive statistical validation using one-way ANOVA and a Tukey’s HSD post-hoc test revealed no statistically significant difference in performance between the model-driven strategies and the passive buy-and-hold strategies (p = 0.660).
DOI: 10.14457/tu.the.2024.513
title: Forecasting gold price using artificial neural networks: a comparative study with linear regression and strategy performance analysis

description: This study investigates the application of Artificial Neural Networks (ANNs) and Linear Regression models for short-term gold price forecasting. Using technical indicators such as the 7-day and 30-day moving averages (MA7 and MA30), along with daily returns, both models were trained to predict next-day gold prices. The ANN architecture was developed through a trial-and-error process, while the regression model served as a benchmark. Model performance was evaluated using Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE), along with a rule-based trading strategy that incorporated predicted returns. The ANN model had a higher RMSE (305.65) than the Linear Regression model (30.82) and underperformed in trading, resulting in a cumulative loss of –52.91%. In contrast, the regression-based strategy delivered a profit of 150.56%, based on the total net return from the same trading rules.
DOI: 10.14457/tu.the.2024.514
title: Life cycle management of single-use plastics waste toward circular economy

description: The global increase in plastic waste has led to a growing problem of residual waste, as only a small portion of plastics are effectively recycled. In line with the government's policy outlined in Thailand’s Roadmap on Plastic Waste Management, this study aims to identify suitable waste management systems by comparing the environmental impacts of three common single-use plastics: polypropylene (PP), low density polyethylene (LDPE), and polyethylene terephthalate (PET). The assessment focuses on three waste management methods: landfilling, incineration, and recycling using the cradle-to-gate approach, which covers the process from waste collection to final disposal. Input and output data were collected and analyzed to quantify environmental impacts. Both primary data (from stakeholder interviews) and secondary data (from literature reviews) were used. The selected functional unit is 1 ton of plastic waste. The study applies the Life Cycle Assessment (LCA) methodology and focuses on midpoint impact categories using the ReCiPe method. A total of eight impact categories were considered: climate change, ozone depletion, human toxicity, freshwater eutrophication, terrestrial acidification, particulate matter formation, fossil depletion, and water depletion. Results show that landfill and incineration contribute significantly to climate change, mainly due to transportation and emissions from combustion. While incineration offers some energy recovery benefits, it does not fully offset its environmental burdens. Recycling was the most effective option, reducing climate change impact by –145 to –185 kg CO₂-eq per ton of plastic waste and improving other impact categories. However, challenges remain in addressing human toxicity due to fossil-based electricity. Overall, recycling is the most sustainable solution and plays a key role in advancing a circular economy. Its effectiveness can be further enhanced by integrating renewable energy in recycling processes that align with resource efficiency and waste minimization policy goals.
DOI: 10.14457/tu.the.2024.515
title: Integrating sustainability into job shop and flow shop scheduling: analyzing key differences and operational challenges

description: Scheduling is the critical part of production, typically concerned with the efficient utilization of resources and demand fulfillment. Considering the importance of sustainable manufacturing, the field of production scheduling has been developing new solutions capable of reducing the impacts of a production process on the environment and people. Integrating sustainability dimensions based on a practical decision-making framework is being realized more and more. To strengthen the theoretical grounding of sustainable scheduling studies, this study conducts a structured literature review to obtain an overview of the current state and recent progress of sustainable scheduling. We also aim to gain insights into the research trends and gaps in sustainable production scheduling. Based on the Scopus database, the applied keywords include sustainable manufacturing, production scheduling, and equivalent terms. Only journal papers published after the year 2017 are included. As a result, 27 research papers are analyzed and synthesized according to the mathematical model components. Information about problem context, problem-solving techniques, and the trade-off relationship among the three dimensions of sustainability are discussed. The literature review results provide an understanding of recent production scheduling research that addresses sustainability issues.
DOI: 10.14457/tu.the.2024.516
title: Supply chain optimization using buy-now-pay-later

description: With the increasing adoption of Buy Now, Pay Later (BNPL) payment systems, customer demand has risen significantly, particularly among younger customers. However, other key players in the supply chain, such as retailers and BNPL providers, face challenges in offering this payment option. Retailers suffer losses as a result of supplementary fees, and BNPL providers face the risk of customer default. To address these issues, this research develops a pricing model to optimize the selling price, maximizing retailer revenue and BNPL provider revenue. The model incorporates key variables, including sales and service fees, transaction fees, and interest rates, while factoring in demand rate, selling price, and the customer's maximum capacity to pay. Utilizing non-linear optimization through Mathematica and generating trend graphs with Python, we identify the optimal solution and provide managerial insights. The findings reveal that both retailers and BNPL providers can achieve higher revenue through BNPL payment methods compared to general payment options by strategically setting the optimal selling price based on varying levels of customer willingness to pay and maximum capacity to pay particularly when offering both general and BNPL payment options simultaneously. Retailers absorb the initial fees for customers choosing BNPL, allowing them to benefit from increased sales. Meanwhile, BNPL providers can further increase their revenue by adjusting fees, setting their effective selling price to account for the risk of covering product costs during the installment period. Moreover, progressively aligning the selling price closer to optimal values amplifies revenues for both players under BNPL. Finally, by addressing the needs of young customers with declining capacity to pay, retailers and BNPL providers offer more spending options and develop pricing strategies, delivering benefits across the entire supply chain.
DOI: 10.14457/tu.the.2024.518
title: Upcycling PET plastic bottle and metal waste to functional metal organic framework

description: This study explores the sustainable synthesis of Metal-Organic Framework (MOF) materials utilizing recycled PET bottles and heavy metal waste, demonstrating the potential of repurposing waste materials into functional MOFs for CO2 capture. The chemical recycling of PET via hydrolysis yielded terephthalic acid (TPA) with low impurity levels, facilitating efficient MOF synthesis. Characterization by FTIR, XRD, and SEM confirmed the formation of MIL-88B(Fe) structures with some distinctive morphological and structural features between samples synthesized from pure chemicals and those from wastes (MIL-88B(Fe)-W). The CO₂ adsorption capacities of the waste-derived and pure MIL-88B(Fe) were comparable with the value of about 1 mmol CO2/g. Superior adsorption of volatile organic compounds (VOCs) like toluene and hexane was observed in the waste-derived MIL-88B(Fe)-W, attributed to structural defects and larger pore volumes. The study highlights the feasibility of using waste materials to produce MOFs with good VOC adsorption properties, emphasizing the dual benefits of waste valorization and environmental sustainability. Continued research and optimization are crucial to enhance the performance and industrial applicability of waste-derived MOFs.
DOI: 10.15468/dl.guuzq1
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Laemanctus longipes Wiegmann, 1834"
 ]
}

 The dataset includes 197 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017360-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bdqznz
title: Occurrence Download

description: A dataset containing 24038 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "TaxonKey is Thymelicus lineola (Ochsenheimer, 1808)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 24038 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006783-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t34jtt
title: Occurrence Download

description: A dataset containing 12742 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eriocheir sinensis H.Milne Edwards, 1853"
 ]
}

 The dataset includes 12742 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060185-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mn76w
title: Occurrence Download

description: A dataset containing 896 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chloealtis abdominalis (Thomas, 1873)"
 ]
}

 The dataset includes 896 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279026-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fc4tgu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Begonia gibbsiae Irmsch. ex Sands"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088787-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.flwqo0
title: Occurrence Download

description: A dataset containing 654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anchoa hepsetus (Linnaeus, 1758)",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is less than or equal to 1980",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 654 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006783-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnhu4b
title: Occurrence Download

description: A dataset containing 7959 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Animalia",
 "TaxonKey is Aves",
 "TaxonKey is Reptilia",
 "TaxonKey is Amphibia",
 "TaxonKey is Mammalia"
 ]
 },
 "Geometry POLYGON((-94.995346 18.331062,-95.830307 18.110613,-96.016044 17.256564,-95.107955 17.564828,-94.726181 17.608683,-94.637088 17.999468,-94.995346 18.331062))"
 ]
}

 The dataset includes 7959 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003082-150831095807960/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yddmu7
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eriophorum scheuchzeri Hoppe",
 "Year 1990-2020"
 ]
}

 The dataset includes 85 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037903-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96oa0l
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pearsonomys annectens Patterson, 1992",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006783-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.doc4ft
title: Occurrence Download

description: A dataset containing 1634 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pistia stratiotes L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1634 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017368-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zah31u
title: Occurrence Download

description: A dataset listing the 2418 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Potamonautidae"
 ]
}

 The dataset's 2418 records were derived from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003083-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.347av9
title: Occurrence Download

description: A dataset containing 1306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Conops flavipes Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Observation, Specimen)",
 "Year is greater than 1945"
 ]
}

 The dataset includes 1306 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0278996-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.50ajvc
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Burkina Faso",
 "Country is Niger",
 "Country is Mali",
 "Country is Ghana",
 "Country is Benin",
 "Country is Senegal",
 "Country is Nigeria",
 "Country is Mauritania",
 "Country is Togo"
 ]
 },
 "Geometry POLYGON((-17.18262 21.44531,-22.71973 15.55664,-3.38379 -2.90039,7.0752 2.98828,9.36035 5.97656,10.7666 6.85547,12.26074 7.82227,13.93066 10.54688,14.37012 13.35938,15.07324 15.99609,16.04004 20.91797,14.19434 22.67578,12.52441 23.11523,6.1084 19.6875,4.35059 19.07227,-8.56934 27.07031,-8.56934 25.75195,-11.90918 25.75195,-12.87598 21.18164,-17.18262 21.44531))",
 "TaxonKey is Eragrostis japonica (Thunb.) Trin."
 ]
}

 The dataset includes 232 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017374-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdhiol
title: Occurrence Download

description: A dataset containing 26284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "DecimalLatitude is greater than 38.5285115266411",
 "DecimalLatitude is less than 39.1123458290545",
 "DecimalLongitude is greater than -77.9190408310217",
 "DecimalLongitude is less than -77.1488986006058"
 ]
}

 The dataset includes 26284 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006783-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.