bluuebunny/crossref_metadata_2025_split huggingface dataset:
Profil Petani Pembudidaya Talas (Araceae ) di Desa Karang Intan Kabupaten Banjar, Kalimantan Selatan
Authors: Mardiana Herlin , Kadarsah Anang , Agusliani Erma 
Published: November 2023

This study aims to analyze the density and distribution of the taro plant and to obtain information about the knowledge of the local population on the cultivation technique of taro (Colocasia esculenta L. Shoot) in Karang Intan Village, Banjar Regency, South Kalimantan. Taro cultivators was carried out by interview method with 10% of respondents. The interview were made a comparison percentage and discussed descriptively. The results showed that the taro cultivators are dominated by women (56.25%) and the rest 43.75% are men. Respondents majority were from the age group 41-50 years (43.75%) and the lowest (12.5%) was from the age group 21-30 and 31-40 years. Farmers are the most occupied livelihood (75%) and the rest are fish farmers (25%). Taro cultivators in Karang Intan Village still apply simple cultivation techniques and local wisdom that are hereditary. Key words: Taro, farmer, knowledge
Analisis Kinerja Keuangan Perusahaan BUMN Bidang Konstruksi Bangunan Yang Listed di Bursa Efek Indosesia Sebelum dan Selama Pandemi Covid-19
Authors: Sukardi  
Published: November 2023

Abstract-- This study aims to determine the financial performance of state-owned companies in the building construction sector which were listed on the Indonesia Stock Exchange before and during the Covid-19 Pandemic. The analytical tool used is based on the Decree of the Minister of State-Owned Enterprises Number: Kep-100/Mbu/2002 Concerning the Soundness Rating of State-Owned Enterprises. The research data was taken from the financial reports of all SOEs in the building construction sector which were listed on the Indonesia Stock Exchange in 2018 and 2019 (before Covid-19) and 2020 and 2021 (during Covid-19). The results of the financial performance analysis of 4 (four) SOEs in the Building Construction Sector listed on the IDX show that the average financial performance before Covid-19 was better than during Covid-19.
Key words : Financial performance, BUMN, Covid-19

Abstrak— Penelitian ini bertujuan untuk mengetahui kinerja keuangan perusahaan BUMN bidang konstruksi Bangunan yang listed di Bursa Efek Indonesia sebelum dan selama Pandemi Covid-19. Alat Analisis yang digunakan mendasarkan pada Keputusan Menteri Badan Usaha Milik Negara Nomor : Kep-100/Mbu/2002Tentang Penilaian Tingkat Kesehatan Badan Usaha Milik Negara. Data penelitian diambil dari laporan keuangan seluruh BUMN bidang Konstruksi bangunan yang listed di Bursa Efek Indonesia tahun 2018 dan 2019 ( sebelum Covid-19) serta 2020 dan 2021( Selama covid-19). Hasil analisis kinerja keuangan terhadap 4 (empat) BUMN Bidang Konstruksi Bangunan yang listed di BEI menunjukkan bahwa rata-rata kinerja keuangan sebelum covid-19 lebih baik di bandingkan selama covid-19.
Kata kunci : Kinerja keuangan, BUMN, Covid-19
PERANCANGAN MOTION GRAPHIC SEBAGAI MEDIA INFORMASI DALAM E-BOOK "PENINGKATAN PRODUKTIVITAS LAHAN KERING MASAM"
Authors:   Teknologi Rekayasa Perangkat Lunak, Sekolah Vokasi IPB University, Kusuma Nur Zharifah Pradinda , Kharismatunnisaa Fiona ,   Teknologi Rekayasa Perangkat Lunak, Sekolah Vokasi IPB University, Fami Amata ,   Teknologi Rekayasa Perangkat Lunak, Sekolah Vokasi IPB University
Published: November 2023

Inovasi teknologi pengelolaan lahan kering masam telah banyak diciptakan. Diantaranya yaitu teknologi pengayaan unsur P dan K, teknik pemberian kapur untuk mengatasi kemasaman tanah dan keracunan alumunium, teknologi konservasi tanah berupa sistem olah tanah konservasi, pemanfaatan mulsa dan konservasi secara vegetatif. Inovasi teknologi yang diciptakan perlu disosialisasikan kepada petani milenial, tetapi sosialisasi tersebut belum maksimal jika hanya mengandalkan penyuluhan secara langsung di lapangan. Hasil inovasi ini akan berpengaruh terhadap petani milenial jika informasi yang disampaikan dibuat dengan menarik. Oleh karena itu, peneliti menerapkan motion graphic dalam e-book “Peningkatan Produktivitas Lahan Kering Masam” sebagai media informasi yang menarik mengenai teknologi pengelolaan lahan kering masam. Terdapat tiga tahapan pada pembuatan motion graphic yang berjudul "Peningkatan Produktivitas Lahan Kering Masam" antara lain preparation, production, dan post production. Motion graphic tersebut berisi informasi mengenai penjelasan, sifat, penyebaran, serta inovasi lahan kering masam dan pemanfaatan teknik ICLM. Penelitian ini berkolaborasi dengan Balai Besar Pengkajian dan Pengembangan Teknologi Pertanian (BBP2TP) sehingga berhasil menciptakan motion graphic dalam e-book
Nonionic Surfactant Blends for Enhanced Oil Recovery in High-Temperature Eagle Ford Reservoir
Authors: Ladan Elsie B. , Schechter David S. 
Published: November 2023

Summary
Nonionic surfactants have proven successful and cost-effective in enhancing production from conventional and unconventional reservoirs. However, studies into the mechanism and performance of nonionic surfactants have been limited to reservoirs with temperatures below 200°F due to the temperature-dependent physiochemical properties, especially cloudpoint (CP). In this study, nonionic-ionic surfactant blends were designed to create nonionic systems with cloudpoint temperatures (CPTs) above 300°F for wettability alteration in high-temperature reservoirs like the Eagle Ford Shale in Texas, USA.
Through CP, wettability, interfacial tension (IFT), and spontaneous imbibition experiments, 22 commercial surfactant samples (individual and blends) were investigated. Results showed that the amount of ionic cosurfactant affected thermal stability, with increasing concentration leading to increasing CPT. Wettability alteration was dependent not only on temperature but also on the class of ionic cosurfactant. Cationic cosurfactants were superior at improving nonionic surfactants’ thermal stability. However, they resulted in oil-wet contact angles (CAs) with increasing temperature. On the other hand, anionic cosurfactants displayed better synergy in terms of wettability alteration, creating strongly water-wet and intermediate-wet CAs at high temperatures. Therefore, the focus was placed on nonionic-anionic surfactant blends for the reservoir samples used in this study. Stable surfactant blends with CPTs from 316°F to 348°F were successfully created for enhanced oil recovery (EOR) applications at high-temperature conditions. Spontaneous imbibition studies using these blends indicated improved recovery by up to 173%. This work validates and builds upon previous studies of surfactant performance, wettability alteration, and IFT while providing new insight into nonionic surfactant blends at temperature conditions not currently available in the literature. It also serves as a template for the surfactant screening and selection process when considering nonionic surfactants.
The barriers and enablers to the integration of a clinical decision support systems into general practice medical software: A narrative review using a systematic approach
Authors: Hallinan Christine Mary , GP Libby Dai , Canaway Rachel , Hegarty Kelsey , Boyle Douglas 
Published: November 2023

Abstract
Background Clinical decision support systems (CDSS) have become an integral part of clinical software management systems in Australian general practices. These systems encompass a range of tools that support patient data management, medication management, patient diagnosis, decision support, pharmacovigilance, drug control, and clinical guidance. They provide functionalities such as computerised alerts, recalls, reminders, clinical guidelines, patient data reports, documentation templates, clinical workflow tools, and prescribing guidance. In this research we aim to explore the enablers and barriers related to the integration of clinical decision support tools into existing clinical management software systems, by undertaking a systematic search of the literature.Methods For this narrative review, MEDLINE (Web of Science) and Scopus databases were searched for peer reviewed articles published in English between January 1980 and March 2023. All study types that examined clinical decision support in medicine were included in the review.Results Thirty-nine studies were included in this review. Of these studies, most reported CDSS varied widely in application, scope, functionality, type, and complexity. Differences in CDSS technical and clinical interface functionality provide options around the type of prompts delivered to a general practitioner (GP). Passive prompts provide clinical guidance to the GP end-user without requiring any action on their part, while active prompts are automated clinical actions or alerts, which the user must either accept or override to proceed with their workflow. CDSS applications include those for the detection and management of cancer, sepsis, acute pain, hypertension, asthma, diabetes, alcohol and tobacco use, antibiotic prescribing, vaccination, medication adverse events, and pregnancy care. For CDSS to provide maximum utility, co-design between the GP end-user and developer needs to be embedded in the functionality.Conclusion Implementation of an integrative multidisciplinary CDSS is not static, it involves multiple iterations of development and re-design that is based on both staged and ad-hoc usability evaluations. This narrative review found the use of co-design provides opportunities for a deeper understanding of the barriers and enablers to the integration of CDSS in clinical practice. Co-design also facilitates the development of more individualised ‘bespoke’ CDSS so the specific needs of clinician end-users can be fulfilled.
Determinant factors, barriers and performance outcomes of green innovation adoption by firms: a systematic literature review
Authors: Liu Shu , Thurasamy Ramayah , Mohamad Marini Nurbanum 
Published: November 2023

Abstract
What is the significance of understanding the determinant factors and motivations behind a firm’s decision to adopt green innovations, identifying the sources of barriers and what are the outcomes of such adoption? How do the findings from the literature review help to define the conceptual framework for green innovation adoption (GIA)? What are the future research trends? To address these research questions, a systematic literature review (SLR) was conducted. After defining inclusion and exclusion search criteria, a systematic search of peer-reviewed articles from the Web of Science (WoS) and Scopus databases was conducted. The search database contained 84 papers, of which 42 met the specific analysis goals of this study using the InOrdinatio method. The results indicated a growing interest in green innovation, with 78.57% of papers published between 2015 and 2022. Top research countries include Pakistan, the EU, China, the USA and Malaysia. Quantitative, qualitative, and mixed methods were used in selecting the papers, which highlight leading firms as protagonists in developing new technologies. This research aims to promote internal factors that firms can manage, rather than complying with external factors beyond their control. Based on the SLR, this paper proposes a proposition and a conceptual model for further research on GIA. This study offers a novel framework and understanding for researchers to explore the antecedents and consequences of GIA by enterprises. Based on the identified literature gaps, promising avenues for future research were proposed.
The use of implementation science theories, models, and frameworks in implementation research for medicinal products: a scoping review
Authors: Smith Meredith Y , Gaglio Bridget , Anatchkova Milena 
Published: November 2023

Abstract
Background: The uptake, adoption, and integration of new medicines and treatment regimens within healthcare delivery can take a decade or more. Increasingly, implementation science (IS) research is being used to bridge this gap between the availability of new therapeutic evidence and its actual application in clinical practice. Little is known, however, about the quality of IS research in this area, including the degree to which theories, models, and frameworks (TMFs) are being used. The objective of this study was to conduct a scoping review of the use of TMFs in implementation research involving medicinal products.
Methods: A search was conducted for English language abstracts and manuscripts describing the application of TMFs in IS studies for medicinal products. Eligible publications were those published between January 1, 1974, and December 12, 2022.
All records were screened at the title and abstract stage; included full-text papers were abstracted using data extraction tables designed for the study. Study quality was appraised using the Implementation Research Development Tool.
Results: The initial scoping search identified 2,697 publications, of which nine were ultimately eligible for inclusion in the review. Most studies were published after 2020 and varied in their objectives, design, and therapeutic area. Most studies had sample sizes of fewer than 50 participants, and all focused on the post-marketing phase of drug development. The TMF most frequently used was the Consolidated Framework for Implementation Research (CFIR). Although most studies applied all TMF domains, TMF use was limited to instrument development and/or qualitative analysis. Quality appraisals indicated the need for engaging patients and other stakeholders in the implementation research, reporting on the cost of implementation strategies, and evaluating the unintended consequences of implementation efforts.
Conclusions: We found that few IS studies involving medicinal products reported using TMFs. Those that did encompassed a wide variety of therapeutic indications and medicinal products; all were in the post-marketing phase and involved limited application of the TMF. Researchers should consider conducting IS in earlier phases of drug development and integrate the TMF throughout the research process. More consistent and in-depth use of TMFs may help advance research in this area.
First record of a negative single stranded RNA viruses from entomopathogenic fungus Beauveria bassiana Vuillemin
Authors: Zhang Zheng-kun , Xu Mengnan , Liu Hongyu , Jia Xue , Zou Xiaowei , Lu Yizhuo , Sui Li , Li Qiyun , Liu Jianfeng 
Published: November 2023

Abstract

Beauveria bassiana Vuillemin is an entomopathogenic fungus that has been developed as a biological insecticide and used worldwide. B. bassiana can be infected by one or more mycoviruses, which are generally double stranded RNA viruses (dsRNA), but single stranded RNA virus (ssRNA) infection has been rarely reported, especially negative single stranded RNA viruses (-ssRNA). In the present study, we sequenced and analyzed the whole genomes of two different nucleic acid types of mycoviruses that co-infected one B. bassiana strain, which are -ssRNA and dsRNA, namely Beauveria bassiana negative transcribed RNA virus 1 (BbNSRVs1) and Beauveria bassiana dsRNA mycovirus 1 (BbdsRNAMV1), respectively. The genome of BbNSRVs1 consists of a -ssRNA segment with a length of 6169 bp harboring a single open reading frame (ORF), which encodes a putative RNA dependent RNA polymerase (RdRp) with 1949 aa (220.1 kDa), it showed the highest homology of 59.79% to that of PvLamonoambiV2 belongs to family Monoegalales according to a BLASTx analysis. This is the first report of -ssRNA mycovirus in B. bassiana. The genome of BbdsRNAMV1 consists of two dsRNA fragments with 2164 bp and 1765 bp in length, respectively, the dsRNA1 of which encodes a conserved RdRp motif, with a BLASTx homology of 70.75% to that of a taxonomically undetermined mycovirus Fusarium graminearum dsRNA mycovirus 5 (FgdsRNAMV5), and the dsRNA2 encodes a coat protein (CP) motif, with a BLASTx homology of 64.26% to that of the FgdsRNAMV5. Therefore, the status of virus BbdsRNAMV1 was taxonomically undetermined.
Microbial community structure and metabolic profile of anthropized freshwater tributary channels from La Plata River, Argentina to develop sustainable remediation strategies
Authors: Starevich Viviana Ayelén , Madueño Laura , Festa Sabrina , Agnello Ana Carolina , Cecotti Martina , Layún Florencia , Oneto Maria Elena , Panno María Teresa Del , Morelli Irma Susana 
Published: November 2023

Abstract

Microbial communities from freshwater sediments are involved in biogeochemical cycles and they can be modified by physical and chemical changes in the environment. Linking the microbial community structure (MCS) with physicochemistry of freshwater courses allows a better understanding of its ecology and can be useful to assess the ecological impact generated by human activity. The MCS of tributary channels from La Plata River affected by oil refinery (C, D and E) and one also by urban discharges (C) was studied. For this purpose, 16S rRNA metabarcoding analysis, in silico metagenome functional prediction and the hydrocarbon degradation potential (in silico predictions of hydrocarbon degrading genes and their quantification by qPCR) of the MCS were studied. Principal coordinate analysis revealed that the MCS was different between sites, and it was not structured by the hydrocarbon content. Site C showed physicochemical characteristics, bacterial taxa and an in silico functional prediction related to fermentative/heterotrophic metabolism. Site D, despite having higher concentration of hydrocarbon, presented autotrophic, syntrophic, and methanogenic pathways commonly involved in natural processes in anoxic sediments. Site E showed and intermediate autotrophic/heterotrophic behaviour. The hydrocarbon degradation potential showed no positive correlation between the hydrocarbon degrading genes quantified and predicted. The results suggest that the hydrocarbon concentration in the sites was not enough selection pressure from to structure the bacterial community composition. Understanding which is the variable that structures the bacterial community composition is essential for monitoring and designing of sustainable management strategies for contaminated freshwater ecosystems.
Deep Neural Operator Driven Digital Twin-EnablingTechnology: Accelerated Surrogate Prediction for NuclearSystems
Authors: Kobayashi Kazuma , Alam Syed Bahauddin 
Published: November 2023

Abstract
This research introduces the Deep Operator Network (DeepONet) as a robust surrogate modeling method within the context of digital twin (DT) systems for nuclear energy systems. With the increasing importance of nuclear energy as a carbon-neutral solution, adopting DT technology has become crucial to enhancing operational efficiencies, safety, and predictive capabilities in nuclear engineering applications. DeepONet exhibits remarkable prediction accuracy, outperforming traditional ML methods.Through extensive benchmarking and evaluation, this study showcases the scalability and computational efficiency of DeepONet in solving a challenging particle transport problem. By taking functions as input data and constructing the operator G from training data, DeepONet can handle diverse and complex scenarios effectively.However, the application of DeepONet also reveals challenges related to optimal sensor placement and model evaluation, critical aspects of real-world implementation. Addressing these challenges will further enhance the method's practicality and reliability.Overall, DeepONet presents a promising and transformative tool for nuclear engineering research and applications. Its accurate prediction and computational efficiency capabilities can revolutionize DT systems, advancing nuclear engineering research. This study marks an important step towards harnessing the power of surrogate modeling techniques in critical engineering domains.
Predicting preoperative muscle invasion status for bladder cancer using computed tomography-based radiomics nomogram
Authors: Zhang Rui , Jia Shijun , Zhai Linhan , Wu Feng , Zhang Shuang , Li Feng 
Published: November 2023

Abstract

Objectives
The aim of the study is to assess the efficacy of the established computed tomography (CT)-based radiomics nomogram combined with radiomics and clinical features for predicting muscle invasion status in bladder cancer (BCa).
Methods
A retrospective analysis was conducted using data from patients who underwent CT urography at our institution between May 2018 and April 2023 with uroepithelial carcinoma of the bladder confirmed by postoperative histology. There were 196 patients enrolled in all, and each was randomized at random to either the training cohort (n = 137) or the test cohort (n = 59). 851 radiomics features in all were retrieved. For feature selection, the significance test and least absolute shrinkage and selection operator (LASSO) approaches were utilized. Subsequently, the radiomics score (Radscore) was obtained by applying linear weighting based on the selected features. The clinical and radiomics model, as well as radiomics-clinical nomogram were all established using logistic regression. Three models were evaluated using analysis of the receiver operating characteristic curve. An area under the curve (AUC) and 95% confidence intervals (CI) as well as specificity, sensitivity, accuracy, negative predictive value, and positive predictive value were included in the analysis. Radiomics-clinical nomogram's performance was assessed based on discrimination, calibration, and clinical utility.
Results
After obtaining 851 radiomics features, 12 features were ultimately selected. Histopathological grading and tortuous blood vessels were included in the clinical model. The Radscore and clinical histopathology grading were among the final predictors in the unique nomogram. The three models had an AUC of 0.811 (95% CI, 0.742–0.880), 0.845 (95% CI, 0.781–0.908), and 0.896 (95% CI, 0.846–0.947) in the training cohort and in the test cohort they were 0.808 (95% CI, 0.703–0.913), 0.847 (95% CI, 0.739–0.954), and 0.887 (95% CI, 0.803–0.971). According to the DeLong test, the radiomics-clinical nomogram's AUC in the training cohort substantially differed from that of the clinical model (AUC: 0.896 versus 0.845, p = 0.015) and the radiomics model (AUC: 0.896 versus 0.811, p = 0.002). The Delong test in the test cohort revealed no significant difference among the three models. The nomogram proved clinically useful, according to decision curve evaluations.
Conclusions
BCa muscle invasion status could be accurately predicted preoperatively by the radiomics-clinical nomogram.