bluuebunny/crossref_metadata_2025_split huggingface dataset:
Environmental communication in community-based conservation movement: Lesson from the Masigit Kareumbi Hunting Park, Indonesia
Authors: Dirgantara Pradipta , Kalaloi Abdul Fadli , Dianita Indria Angga 
Published: July 2023

AbstractEnvironmental communication plays an important role in articulating environmental and disaster issues such as global warming, rising sea surface temperatures, pollution, and nature conservation. Not only delivering information and dialogues on environment, but it also manifests through actions such as protest, posters, movies, and concrete participation. Inevitably, the nexus of environmental communication in Indonesia should lie in its action involving community participation in the conservation movement. Therefore, this study seeks to explain the symbolic action in The Masigit Kareumbi Conservation Movement. This research used a qualitative method with a single instrumental case study strategy approach by taking a case of The Masigit Kareumbi Conservation Cadre School and benefitted from environmental communication functions and participatory communication. Data were collected through in-depth and semi-structured interviews, direct observation, and literature study. The result is the symbolic action in this conservation movement has served two functions in environmental communication: pragmatic and constitutive. The pragmatic function is discovered through educational sessions and discussions on conservation in the hunting park for protecting wilderness area. The constitutive action is laid out by fostering relationship and worldview with nature through hiking, flora, and fauna lessons, and seeking the meaning of nature for students involved.
Standardization of Chemical Degumming and Biodegumming of Ramie Fiber Processing for Natural Fiber Supply Chain Strategy as A Source of Textile Raw Materials in Indonesia
Authors: Wulandari Asri Peni , Kusmoro Joko , Ernawati Engela Evy 
Published: July 2023

Abstract
Ramie’s natural fiber industry (Boehmeria nivea) has the potential to be able to supply natural cellulose raw materials to meet the demands of the textile industry. A potential consideration in manufacturing ramie-based products is the need for an integrated set of processes to operate efficiently along the supply chain. A strategy in maintaining the supply chain in manufacturing ramie fiber is based on standardization of the upstream production process starting from the ramie cultivation system and processing raw fiber resulting from the decortication process. Raw fiber is processed by standardized procedures, either chemical degumming or biodegumming, using enzymatic activity produced from microorganisms such as bacteria and fungi. The purpose of this research is to provide a standardized production line for the manufacture of ramie raw fiber. The study reports on a number of issues, including: supply of ramie fiber, degumming process include biological dan chemical degumming methods which has been used as a production process for small-scale industrial in Indonesia. The recommendation must be tested with data from manufacturing companies in the ramie industry to develop it as a standardized ramie industrial product model in Indonesia.
Implementation of Cleaner Production Strategies for Batik Production Process in Banten Batik Center
Authors: Akbari Tauny , Handayani Rini , Fitriyah  
Published: July 2023

Abstract
This study aims to analyze the implementation of cleaner production strategies for batik production process in Banten Batik Center. The Banten Batik Center produces types of batik in the form of stamped batik and written batik. The research method used is Quick screening by analyzing the stages of the production process and then identifying the waste generated and formulating clean production options. The production process consists of: cutting mori cloth, boiling cloth, batik (stamp and writing), pickpocketing, dyeing, pelorodan, washing, drying and packaging. The results obtained 10 cleaner production options that can be applied. In terms of technical feasibility, the main priority for clean production options is the utilization of mori cloth waste into scarves and rags, reuse of boiling water if there is residue, and washing carried out in large ponds. The results of the economic feasibility test obtained that the option for washing carried out in large ponds has a fast payback period (PBP) value of 0.53 months. Break event point calculation results show that the company must sell 108 pieces of batik cloth in order to reach the impact point. The implementation of cleaner production at the Banten Batik Center was declared feasible and profitable to implement because it had a Benefit Cost Ratio (BCR) > 1.
Life Cycle Analysis of Carbon Footprint and Carbon Stored on Tali Bamboo (Gigantochloa Apus (J.A. & J.H. Schultes) Kurz) Products using Life Cycle Assessment Approach
Authors: Ibrahim A , Parikesit  , Withaningsih S 
Published: July 2023

Abstract
The lack of LCA research on the agricultural landscape led to a gap in terms of data availability. Even though there was a potential emission release uncontrolled and potential carbon stored on the product simultaneously. The study aims to analyze the life cycle (land management, extraction, production, distribution, usage, final treatment) of carbon footprint and carbon stored in tali bamboo species. It is shown there were five main products has made e.g., bamboo logs; bamboo slats; bamboo walls; bamboo buckets; and bamboo blinds with CO2 release respectively 0,13 Kg CO2/product, 0,012 Kg CO2/product; 0,67 Kg CO2/product; 1,39 Kg CO2/product; and 2,31 Kg CO2/product. Furthermore, every product has stored CO2 during its lifetime with the number consecutively 22,04 Kg CO2/product; 2,43 Kg CO2/product; 12,21 Kg CO2/product; 9,11 Kg CO2/product; and 5,05 Kg CO2/product. The range of products used varies from six to twenty-two months depending on its place and weather conditions. However, at the end of the product phase, the combustion process will be applied and would create the CO2 released into the atmosphere.
Measuring Conservation Outcomes of Tambora National Park Management
Authors: Anshor Muhammad , Basuni Sambas , Arief Harnios , Sunarminto Tutut 
Published: July 2023

Abstract
Establishing a new national park aims to intensify management effectively. Effective management will provide successful conservation outcomes. Tambora National Park is a new national park declared in 2015. The manager and stakeholders expect the success of the conservation outcome of Tambora National Park management. The researchers proposed formulating the jointly expected conservation outcomes to be assessed based on established indicators. This paper aimed to formulate and evaluate the jointly expected conservation outcomes of Tambora National Park management. The analysis consisted of four stages: (1) compiling the jointly expected conservation outcomes, (2) identifying indicators of significant values of the protected area, management cycles, and management impacts into conservation outcome criteria, (3) collecting data on the significance and values of the protected area, management cycles, and management impact based on the perspective of managers and stakeholders, and (4) interpreting conservation outcome values. Five jointly expected conservation outcomes were obtained. Generally, the Tambora National Park management has provided good conservation outcomes but was not balanced. The biodiversity protection has not gone well, but the socio-economic aspects have been good. Furthermore, the socio-economic conservation outcomes directly impacted the surrounding community. In practice, protected area management must be balanced to protect their biodiversity.
Plankton community structure and water conditions of Jatigede Reservoir for the sustainability of fisheries
Authors: Andi Nurul Khasanah B.P.I , Sunardi  , Oktavia Dina 
Published: July 2023

Abstract
Phytoplankton and zooplankton are tiny organisms that are vital components in the water. Plankton community structure reflects the effect of the water condition and plankton is a natural food for fish. This study aims to determine the community structure of the plankton and the water condition of the Jatigede reservoir for the sustainability of fisheries. The type of research used is descriptive quantitative with 7 sampling stations. The Results reveal that there were 35 types of phytoplankton species and the diversity index ranges 0.968-1.539, the evenness index ranges 0.349-0.506 (the level is low to moderate), and the dominance index ranges 0.240-0.465 (the dominance levels are low). There were 36 types of zooplankton species and the diversity index ranged 1.558-1.988, the evenness index ranged 0.497-0.653 the level is at a moderate level (labile toward stable) and the dominance index ranged 0.157-0.352 (the dominance levels are low). The water quality status reveals that Jatigede Reservoir is in moderately polluted condition based on the quality standard limits in class 2 and class 3 which are intended for the fishery sector. It means that the water conditions of the Jatigede Reservoir are starting to be disturbed for the sustainability of fish.
The utilization of water hyacinth (Eichhornia crassipes) harvested from the phytoremediation process as activated carbon in Cr(VI) adsorption
Authors: Nafisyah E , Arrisujaya D , Susanti E 
Published: July 2023

AbstractWater hyacinth (Eichhornia crassipes) is one aquatic plant widely used in phytoremediation. Water hyacinths can absorb organic, inorganic, and heavy metal pollutants. Cr(VI) is one of the heavy metals found in industrial waste. Adsorption is one of the techniques used to remove the heavy metal content. Activated carbon is one of the good adsorbents because it has a high adsorption ability. The ability of activated carbon to adsorb is influenced by surface area, solution pH, and adsorbent dose. This study aims to utilize water hyacinth-activated carbon to absorb Cr(VI) and determine the optimum adsorption conditions based on pH, contact time, activated carbon weight, and variations in the optimum concentration of Cr(VI) solutions. Conducted the research experimentally with the stages covering: (1) the manufacture of activated carbon from water hyacinth, (2) the carbonization process at temperatures of 300°C and 600°C for 2.5 hours, (3) the chemical activation process with ZnCl210%, (4) quality testing of activated carbon based on SNI No. 06-3730-1995 on moisture content, ash content, iodine absorption, methylene blue absorption, (5) characteristics of water hyacinth-activated carbon functional groups by FTIR, (6) preliminary tests, (7) optimization of optimum adsorption conditions on variations in pH, contact time, activated carbon weight, concentration Cr(VI) solutions with UV-Vis spectrophotometer. The results showed that the characteristic test of water hyacinth-activated carbon had met the requirements of SNI No. 06-3730-1995 for moisture content, iodine absorption, and methylene blue absorption. A preliminary test showed that the activated carbon of water hyacinth leaves had the highest adsorption capacity. The optimum conditions for the adsorption of Cr(VI) by water hyacinth leaves were at pH 1, the weight of activated carbon 1 gram, a contact time of 24 hours, and a concentration of Cr(VI) solutions of 200 mg/L.
A Study of Waste Projection through Bibliometric Analysis
Authors: Rosyidah E , Hermana J , Warmadewanthi I D A A 
Published: July 2023

Abstract
Waste projection is useful for determining the amount of waste that will be produced globally during the following few decades. The purpose of this study is to map the current state of global research and future development trends of waste projection studies. This study uses a bibliometric approach by analyzing 1,342 scientific publications over half a century based on the database of Scopus. The findings show that Resources Conservation and Recycling, the United States Environmental Protection Agency, and the United States were the most productive publication sources, research institutions, and countries in the study of waste projection. The research proposes a concept of WEWCAP research themes for waste projection research.
Bioprinted hASC-laden cell constructs with mechanically stable and cell alignment cue for tenogenic differentiation
Authors: Kim Dongyun , Kim GeunHyung 
Published: July 2023

Abstract
3D bioprinting is a technology that enables the precise and controlled deposition of cells and an artificial extracellular matrix (ECM) to create functional tissue constructs. However, current 3D bioprinting methods still struggle to obtain mechanically stable and unique cell-morphological structures, such as fully aligned cells. In this study, we propose a new 3D bioprinting approach that utilizes a high concentration of bioink without cells to support mechanical properties and drag flow to fully align cells in a thin bath filled with cell-laden bioink, resulting in a hybrid cell-laden construct with a mechanical stable and fully aligned cell structure. To demonstrate the feasibility of this approach, we used it to fabricate a cell-laden construct using human adipose stem cells (hASCs) for tendon tissue engineering. To achieve appropriate processing conditions, various factors such as the bioink concentration, nozzle moving speed, and volume flow rate were considered. To enhance the biocompatibility of the cell-laden construct, we used porcine decellularized tendon ECM. In vitro cellular responses, including tenogenic differentiation of the fabricated hybrid cell structures with aligned or randomly distributed cells, were evaluated using hASCs. In addition, the mechanical properties of the hybrid cell-laden construct could be adjusted by controlling the concentration of the mechanically reinforcing strut using methacrylated tendon-decellularized extracellular matrix. Based on these results, the hybrid cell-laden structure has the potential to be a highly effective platform for the alignment of musculoskeletal tissues.
Stability of soluble honokiol loaded PLGA-PEG nanoparticles under normal and accelerated-aging conditions
Authors: Minh Nguyet Ho , Vu Manh Cuong , Le Thi Van Anh , Le Thi Thuy Duong 
Published: July 2023

Abstract
Honokiol, a plant bioactive compound, is derived from the Magnolia genus and has several pharmacological advantages including anti-inflammatory, antiviral, neuromodulatory and anti-tumour activities. However, honokiol’s pharmaceutical utility is constrained by its poor solubility in water. Nanotechnology has been widely used to address this issue to make anticancer medications more effective by increasing their water solubility. Furthermore, the stability of the nanoparticles is one of the most important factors affecting the safety and efficacy of the drug. In this study, honokiol-loaded PLGA − PEG nanoparticles were synthesised and the stability of this nanosystem was evaluated in two conditions that are normal condition and accelerated-aging condition. The parameters used to evaluate the stability of the nanocarrier system include particle size, polydispersity index, zeta potential, morphology, encapsulation efficiency, and loading capacity. All of the samples were stored at three temperatures of 4 °C, 27 °C and 40 °C, and assessed at four times of 0 month, 1 month, 2 months, and 3 months. The physicochemical parameters of nanoparticles after three months of storage showed greater stability at 4 °C compared to 27 °C and 40 °C. There were no significant differences in the parameters of samples stored in three months at 4 °C, meanwhile, the parameters of those stored at 27 °C and 40 °C fluctuated considerably. Therefore, the results show that storing samples at 4 °C allows maintaining the stability of the nanosystem for a long time.
Modified calibration protocols in electron beam dosimetry: comparison with IAEA TRS-398 and AAPM TG-51
Authors: Yulinar Cica , Assegab Muhamad Iqbal , Wibowo Wahyu Edy , Pawiro Supriyanto Ardjo 
Published: July 2023

Abstract
This study aimed to compare absolute calibration outputs based on the protocols of the International Atomic Energy Agency (IAEA) Technical Report Series (TRS)-398, the American Association of Physicists in Medicine (AAPM) Task Group (TG)-51, and modified calibration approach. The electron beam output calibration followed the IAEA TRS-398 and AAPM TG-51 protocols, both of which required cylindrical chambers and parallel plates. However, the use of cylindrical chambers is not recommended at low energies because of the large fluence-correction factor. TG-51 recommended cross-calibration of the parallel-plate chamber against the cylindrical chamber in a high-energy electron beam. In 2020, an electron beam dosimetry modification was introduced that used a cylindrical ionisation chamber at all energies and updated the data for beam quality conversion factors. This modification provided a lower deviation than that reported in AAPM TG-51. Thus, the modified calibration based on TRS-398 was applied in the present study, which yielded results below the permissible tolerance. The beam calibration at 6, 8, 10, 12, and 15 MeV energies was carried out for two Elekta linear accelerators.. Electron beam dosimetry followed the AAPM TG-51 and TRS-398 protocols, and modified calibration were performed to measure the dose at the maximum depth expressed in dose/monitor units (cGy/MU). Charge-reading measurements were measured using ionisation chambers PTW 30013, IBA CC13, and Exradin A11. The average absorbed dose ratios were 1.004 and 1.009 using the modified calibration and TRS-398 and modified calibration and TG-51, respectively. Therefore, based on IAEA TRS-398, the results were below the tolerance limit (±2%).
Anomaly detection in aeronautics data with quantum-compatible discrete deep generative model
Authors: Templin Thomas , Memarzadeh Milad , Vinci Walter , Lott P Aaron , Akbari Asanjan Ata , Alexiades Armenakas Anthony , Rieffel Eleanor 
Published: July 2023

Abstract
Deep generative learning cannot only be used for generating new data with statistical characteristics derived from input data but also for anomaly detection, by separating nominal and anomalous instances based on their reconstruction quality. In this paper, we explore the performance of three unsupervised deep generative models—variational autoencoders (VAEs) with Gaussian, Bernoulli, and Boltzmann priors—in detecting anomalies in multivariate time series of commercial-flight operations. We created two VAE models with discrete latent variables (DVAEs), one with a factorized Bernoulli prior and one with a restricted Boltzmann machine (RBM) with novel positive-phase architecture as prior, because of the demand for discrete-variable models in machine-learning applications and because the integration of quantum devices based on two-level quantum systems requires such models. To the best of our knowledge, our work is the first that applies DVAE models to anomaly-detection tasks in the aerospace field. The DVAE with RBM prior, using a relatively simple—and classically or quantum-mechanically enhanceable—sampling technique for the evolution of the RBM’s negative phase, performed better in detecting anomalies than the Bernoulli DVAE and on par with the Gaussian model, which has a continuous latent space. The transfer of a model to an unseen dataset with the same anomaly but without re-tuning of hyperparameters or re-training noticeably impaired anomaly-detection performance, but performance could be improved by post-training on the new dataset. The RBM model was robust to change of anomaly type and phase of flight during which the anomaly occurred. Our studies demonstrate the competitiveness of a discrete deep generative model with its Gaussian counterpart on anomaly-detection problems. Moreover, the DVAE model with RBM prior can be easily integrated with quantum sampling by outsourcing its generative process to measurements of quantum states obtained from a quantum annealer or gate-model device.
An overview on nucleic-acid G-quadruplex prediction: from rule-based methods to deep neural networks
Authors: Elimelech-Zohar Karin , Orenstein Yaron 
Published: July 2023

Abstract
Nucleic-acid G-quadruplexes (G4s) play vital roles in many cellular processes. Due to their importance, researchers have developed experimental assays to measure nucleic-acid G4s in high throughput. The generated high-throughput datasets gave rise to unique opportunities to develop machine-learning-based methods, and in particular deep neural networks, to predict G4s in any given nucleic-acid sequence and any species. In this paper, we review the success stories of deep-neural-network applications for G4 prediction. We first cover the experimental technologies that generated the most comprehensive nucleic-acid G4 high-throughput datasets in recent years. We then review classic rule-based methods for G4 prediction. We proceed by reviewing the major machine-learning and deep-neural-network applications to nucleic-acid G4 datasets and report a novel comparison between them. Next, we present the interpretability techniques used on the trained neural networks to learn key molecular principles underlying nucleic-acid G4 folding. As a new result, we calculate the overlap between measured DNA and RNA G4s and compare the performance of DNA- and RNA-G4 predictors on RNA- and DNA-G4 datasets, respectively, to demonstrate the potential of transfer learning from DNA G4s to RNA G4s. Last, we conclude with open questions in the field of nucleic-acid G4 prediction and computational modeling.
CodingDiv: analyzing SNP-level microdiversity to discriminate between coding and noncoding regions in viral genomes
Authors: Olo Ndela Eric , Enault François 
Published: July 2023

Abstract

Summary
Viral genes, that are frequently small genes and/or with large overlaps, are still difficult to predict accurately. To help predict all genes in viral genomes, we provide CodingDiv that detects SNP-level microdiversity of all potential coding regions, using metagenomic reads and/or similar sequences from external databases. Protein coding regions can then be identified as the ones containing more synonymous SNPs than unfavorable nonsynonymous substitutions SNPs.

Availability and implementation
CodingDiv is released under the GPL license. Source code is available at https://github.com/ericolo/codingDiv. The software can be installed and used through a docker container.