bluuebunny/crossref_metadata_2025 huggingface dataset:
IDENTIFIKASI POHON PENGHASIL BUAH KONSUMSI DI KAWASAN KEBUN RAYA SAMBAS KECAMATAN SUBAH KABUPATEN SAMBAS PROVINSI KALIMANTAN BARAT
Authors: Tampati Riko , Tavita Gusti Eva , Wardenaar Evy
Published: June 2023

Plant identification means revealing or establishing the identity of a plant. There are trees that produce consumption fruit that can be consumed directly without having to be processed first and those that must be processed first before they can be consumed by humans. Sambas Botanical Gardens is a garden that was built with the aim of completing a number of ex-situ conservation areas of Botanical Gardens in Indonesia. The purpose of this study is to identify, and describe morphological characteristics and obtain architectural models of fruit-producing tree species in the Sambas Botanical Gardens, Subah District, Sambas Regency. The method used is exploration and flora collection by making 6 paths where each lane is 500 meters long and 20 meters wide. The results of this study found 30 types of consumption fruit trees consisting of 20 genera and 14 families. Three of them are endemic to Kalimantan, namely Bacaurea angulata (Belimbing Darah), Durio testudinarius (Durian Kura) and Shorea macrophylla (Tengkawang Tungkul).Keywords: Consumption Fruit-Producing Trees, Identification, Sambas Botanical GardenAbstrak Identifikasi tumbuhan berarti mengungkapkan atau menetapkan identitas suatu tumbuhan. Pohon penghasil buah konsumsi ada yang dapat dikonsumsi secara langsung tanpa harus diolah terlebih dahulu dan yang harus diolah terlebih dahulu baru dapat dikonsumsi oleh manusia. Kebun Raya Sambas merupakan kebun yang dibangun dengan tujuan untuk melengkapi jumlah kawasan konservasi ex-situ Kebun Raya di Indonesia. Tujuan dari penelitian ini yaitu untuk mengidentifikasi, mendeskripsikan ciri-ciri morfologi dan mendapatkan model arsitektur jenis-jenis pohon penghasil buah konsumsi pada kawasan Kebun Raya Sambas Kecamatan Subah Kabupaten Sambas. Metode yang digunakan yaitu eksplorasi dan koleksi flora dengan membuat 6 jalur dimana masing-masing jalur berukuran panjang 500 meter dan lebar 20 meter. Hasil penelitian ini ditemukan 30 jenis pohon buah konsumsi yang terdiri dari 20 genus dan 14 famili. Tiga jenis diantaranya merupakan endemik Kalimantan, yaitu Bacaurea angulata (Belimbing Darah), Durio testudinarius (Durian Kura) dan Shorea macrophylla (Tengkawang Tungkul).Kata Kunci: Pohon penghasil buah konsumsi, identifikasi, kebun raya sambas
ETNOZOOLOGI SUKU DAYAK HULU PESAGUAN DI DUSUN BATU BULAN DESA TANJUNG BEULANG KECAMATAN TUMBANG TITI KABUPATEN KETAPANG
Authors: Purwanti Tanti , Proyogo Hari , Manurung Togar Fernando
Published: June 2023

Ethnozoology is part of the field that studies the knowledge, utilization, and management of animals related to community culture. Ethnozoology includes the use of animal species that are used for various purposes, such as food, crafts, clothing, medicines, decorations, rituals, tools and others. The purpose of this study was to collect data on animal species, to examine the management and use of animals by the Dayak Hulu Pesaguan community in Batu Bulan Hamlet, Tanjung Beulang Village, Tumbang Titi District, Ketapang Regency. Data was collected using a survey method with interview techniques using questionnaires and direct observation in the field. The selection of respondents using snowball sampling technique. The data obtained were analyzed using a qualitative descriptive method and the results of the analysis were presented in the form of tables and diagrams. Based on the research results obtained as many as 140 types of animals with 93 families from a total of 9 animal classes. The results of data analysis show that the total number of animals from each form of utilization is 222 types of animals, which are used for consumption by 55.05%, (120 animals), traditional rituals by 1.80% (4 animals), mystical/signs 14, 86% (33 animals), 9% artistic value (20 animals), 14.86% medicine (33 animals), 5.40% use for hunting (12 animals) by the Dayak Hulu Pesaguan community.Keywords: Ethnozoology, use of animals, Dayak Hulu Pesaguan. AbstrakEtnozoologi merupakan bagian dari bidang etnobiologi yang mempelajari tentang pengetahuan, pemanfaatan, pengelolaan satwa berkaitan dengan budaya masyarakat. Etnozoologi meliputi pemanfaatan jenis satwa yang digunakan dalam berbagai kepentingan, seperti bahan pangan, kerajinan, pakaian, obat-obatan, hiasan, ritual, peralatan dan lain-lainnya. Tujuan penelitian ini yaitu untuk mendata jenis hewan, mengkaji cara pengelolaan dan pemanfaatan hewan oleh masyarakat Dayak Hulu Pesaguan di Dusun Batu Bulan Desa Tanjung Beulang Kecamatan Tumbang Titi Kabupaten Ketapang. Pengumpulan data dilakukan dengan metode survey dengan teknik wawancara menggunakan kuesioner serta pengamatan langsung di lapangan. Pemilihan responden menggunakan teknik sowball sampling. Data yang diperoleh dianalisis menggunakan metode deskriftif kualitatif dan hasil analisis ditampilkan dalam bentuk tabel dan diagram. Berdasarkan hasil penelitian diperoleh sebanyak 140 jenis satwa dengan 93 famili dari total 9 kelas satwa. Hasil analisis data menunjukan jumlah total satwa dari masing-masing bentuk pemanfaatan sebanyak 222 jenis satwa, yang digunakan untuk konsumsi sebesar 55,05%, (120 satwa), ritual adat sebesar 1,80% (4 satwa), mistis/pertanda 14,86% (33 satwa), nilai seni 9% (20 satwa), obat 14,86% (33 satwa), pemanfaatan untuk berburu 5,40% (12 satwa) oleh masyarakat Dayak Hulu Pesaguan.Kata Kunci: Etnozoologi, pemanfaatan satwa, Dayak Hulu Pesaguan
DAYA HAMBAT IN VITRO EKSTRAK DAUN KEMBANG TELANG (Clitoria ternatea) TERHADAP JAMUR PENYEBAB BUSUK AKAR (Ganoderma sp. ) In vitro inhibition of telang (Clitoria ternatea) leaf extract against root rot fungus (Ganoderma sp.)
Authors: Inor Inor , Artutiekamawanti Hanna , Ekyastuti Wiwik
Published: June 2023

Kembang telang leaf extract is antimicrobial controlling pathogenic fungi in vitro. The purpose of the study was to determine the ability of the kembang telang leaf extract as an inhibitor of the growth of fungi that cause root rot and the concentration of the extract that was most effective. The research was carried out in the Silviculture laboratory Faculty of Forestry Universitas Tanjungpura for three months. The experimental method used a completely randomized design with treatments consisting of four concentrations, namely 0%, 3%, 6%, and 9%, with three replications. Telang flower leaf extract can inhibit Ganoderma sp. An inhibition zone looks more apparent than the Telang flower leaf extract area. The growth of fungal growth at the lowest concentration of 3% is the same as effectively inhibiting the growth of Ganoderma sp. The research results imply that the flower telang leaf extract has the potential as an antifungal against the Ganoderma sp.      Keywords: antimicrobial, extract, Clitoria ternatea, Ganoderma.AbstrakEkstrak daun kembang telang memiliki efek antimikrob dalam mengendalikan jamur patogen secara in vitro. Tujuan penelitian mengevaluasi kemampuan ekstrak daun kembang telang sebagai penghambat pertumbuhan jamur Ganoderma sp. penyebab busuk akar dan konsentrasi ekstraknya yang paling efektif. Penelitian dilaksanakan di Laboratorium Silvikultur Fakultas Kehutanan Universitas Tanjungpura selama 3 bulan. Metode percobaan menggunakan rancangan acak lengkap dengan empat taraf perlakuan konsentrasi ekstrak daun kembang telang 0%, 3%, 6%, dan 9% masing-masing tiga ulangan. Ekstrak daun kembang telang dapat menghambat pertumbuhan jamur Ganoderma sp. yang ditunjukkan dengan terbentuknya zona bening. Respons pertumbuhan jamur pada konsentrasi yang paling rendah (3%) sama efektifnya menghambat pertumbuhan jamur Ganoderma sp.  Implikasi hasil penelitian adalah ekstrak daun kembang telang memiliki potensi sebagai antijamur, khususnya Ganoderma sp. yang menyebabkan busuk akar pada Acacia mangium.  Kata kunci: antimikrob, Clitoria ternatea, ekstrak, Ganoderma
STRATEGI PENGEMBANGAN USAHATANI MADU TRIGONA DI SEKITAR KAWASAN HUTAN RARUNG
Authors: Royani Vina Alfi , Amiruddin Amiruddin , Suparyana Pande Komang
Published: June 2023

Dengan potensi sumber daya hutan yang cukup luas, Indonesia bisa dikatakan memiliki keunggulan komparatif. Di Kabupaten Lombok Tengah khususnya Kecamatan Pringgarata memiliki hutan lindung yaitu di kawasan hutan Rarung. Jenis lebah madu yang dibudidayakan oleh kelompok tani di Kawasan Hutan Rarung Desa Pemepek adalah jenis lebah madu Trigona Sp. Salah satu alasan petani membudidayakan madu jenis ini adalah karena minat masyarakat dan tingkat permintaan konsumennya tinggi terhadap produk madu tersebutTujuan penelitian ini, yaitu untuk mengidentifikasi faktor internal dan eksternal, serta strategi terbaik dalam pengembangan usahatani Madu Trigona di sekitar kawsan hutan Rarung. Penelitian ini dilaksanakan di Desa Pemepek yang merupakan desa berada di pinggir kawasan hutan Rarung Kecamatan Pringgarata Kabupaten Lombok Tengah. Jumlah responden penelitian ini sebanyak 30 responden dengan rincian, responden kelompok tani sebanyak 20 orang, penyuluh KHDTK Rarung sebanyak 4 orang, pengelola koperasi Wana Makmur sebanyak 1 orang, dan konsumen madu Trigona sebanyak 5 orang. Penelitian ini berjenis penelitian deskriptif dengan pendekatan manajemen strategi terdiri dari: 1) analisis matriks IFE dan EFE; 2) analisis matriks IE dan matriks SWOT; dan 3) analisis QSPM. Hasil penelitian menunjukkan strategi terbaik dari ke tujuh strategi yang dihasilkan adalah meningkatkan pengetahuan dan keterampilan petani dengan mengadakan penyuluhan dan pendampingan oleh instansi terkait. Rekomendasi penelitian ini disarankan untuk memberikan edukasi dan pendampingan yang lebih intensif kepada petani madu trigona di sekitar kawasan hutan Rarung.
Sunlight Assisted Degradation of Linear Alkylbenzene Sulfonate by Floating Catalyst TiO2-Coconut Fiber
Authors: Sugandi Didiek , Agustiawan Deri , Wijayanto Ericco , Vebriyanti Lo Mei Ly , Panaya Gabriela Yenti Landang , Wahyuni Nelly
Published: June 2023

The increasing number of laundry businesses in Pontianak causes increased laundry waste, which is dangerous for health and the environment because anionic surfactants such as Linear Alkylbenzene Sulfonate (LAS) are hard degradable. Photocatalyst is a method that can be used to degrade the LAS structure. TiO2 carried in coconut fiber can optimize sunlight irradiation in degrading LAS content when light reaches the water's surface. This study aims to determine the characteristics and optimum activity time of photocatalyst TiO2-coconut fiber in degrading LAS. Photocatalyst characterization was carried out using XRD, XRF, and DR-UV, while the optimum activity test of photocatalysts in degrading LAS was carried out using a UV-Vis spectrophotometer. XRD diffractogram analysis showed the peaks of coconut fiber at 2θ = 22.2º, 34.8º and TiO2 at 2θ = 25.3º, 37.8º, 48.1º, 55.1º, and 62.1º. The TiO2 attached to the fiber after being synthesized was 21.12%. The band gap of TiO2 and TiO2-coconut fiber is 3.21 and 3.18 eV, with light absorption at 386.5 and 390.3 nm. Photocatalyst was carried out in LAS with a mass ratio of TiO2 and coconut fiber of 20:80; 30:70; 40:60, and 50:50 w/w with a time range of 0, 30, 60, 90, and 120 minutes. The results of photocatalysis of TiO2-coconut fiber in a ratio of 20:80 w/w showed the optimum photocatalytic activity at 120 minutes with the highest degradation rate of 80.43%. This research is expected to be applied as an alternative to handling LAS in laundry industry waste.
One Step Synthesis of TiO2-Activated Carbon Composite Using Hydrothermal Method with Mass Variation of Activated Carbon
Authors: Sutisna Sutisna , Rokhmawati Ilma Eka Nur , Misto Misto , Rofi’i Imam , Mulyono Tri , Siswanto Siswanto , Supriyanto Edy , Wibowo Edy
Published: June 2023

One effort to increase the photocatalytic activity of TiO2 is to immobilize it on the surface of the sorbent material. This study aims to produce TiO2-Activated Carbon (TiO2-AC) composites which have higher photocatalytic activity than TiO2, using a simple method. The synthesis of TiO2-AC  composites was carried out using the hydrothermal method. The synthesis process was initiated by mixing TTIP, ethanol, H2O, and activated carbon with various masses (5 g, 10 g, 15 g, and 20 g). The mixture was then put into a hydrothermal autoclave and heated at 180°C for 12 hours. The material is then washed until the pH is neutral, and then dried. The TiO2-AC composite powder was then calcined at 500°C for 3 hours. Based on the photocatalytic test of the TiO2-AC composite on the degradation of methylene blue compounds, it was shown that composite with a mass variation of 10 g activated carbon (TiO2-AC/10) had the highest photocatalytic activity. FTIR characterization of the sample TiO2-AC/10 showed a shift in the peak wave number of the hydroxyl and carbon groups. Meanwhile, the results of morphological analysis using SEM showed that TiO2 particles had adhered to the AC surface, which was also confirmed by EDX data in the presence of Ti and O elements in the synthesized material. The results of the crystallinity analysis showed that the 100% synthesized TiO2 was the anatase phase with a crystalline size of 1.80−14.14 nm. This study open up opportunities for the development of TiO2-based composite materials for large-scale environmental remediation applications.
Synthesis of NaP Zeolite Based on Bauxite Red Mud Using Hydrothermal Method on Mole Ratio of SiO2/Al2O3 Variations
Authors: Eviva Nur , Shofiyani Anis , Sayekti Endah
Published: June 2023

Red mud is a bauxite industrial waste of reddish-brown mud with high alkalinity. Red mud has relatively high silica and alumina content, so it can be utilized as a raw material in the synthesis of zeolite. This study aims to synthesize high-purity NaP zeolite from red mud at various SiO2/Al2O3 mole ratios. The synthesis begins with neutralizing the red mud, followed by decomposition using the alkaline fusion method at a ratio of red mud:NaOH = 1:1 (w/w). The filtrate produced by the alkaline fusion was adjusted to the mole ratio of SiO2/Al2O3 = 2.0; 2.5; 3.0; and 4.0, respectively, by adding sodium silicate, followed by a hydrothermal process using an autoclave at 120oC for 16 hours. The synthesized zeolites were characterized using XRD and FTIR spectrophotometry. The XRD results showed that the zeolite produced in all variations of the SiO2/Al2O3 mole ratio studied was a type of high-purity NaP with no other zeolite crystalline phases found as impurities. The structure formed is tetragonal with a degree of crystallinity of 74.54%; 76.47%; 78.94%; 75.64%, and crystal size 80.2286; 54.3437; 37.7099 and 40.1226 nm for zeolite with SiO2/Al2O3 mole ratio 2.0; 2.5; 3.0; and 4.0, respectively. Based on the results of the study, pure NaP zeolite can be synthesized from red mud material using the hydrothermal method at the ratio of moles SiO2/Al2O3 = 2.0 – 4.0.
Sequestration of small ions, weak acids and bases by polyelectrolyte complex studied by simulation and experiment
Authors: Staňo Roman , van Lente Jéré , Lindhoud Saskia , Košovan Peter
Published: June 2023

Mixing of oppositely charged polyelectrolytes can result in phase separation into a polymer-poor supernatant and polymer-rich interpolyelectrolyte complex (PEC). We present a new coarse-grained model for the Grand-reaction method, which enables us to determine the composition of the coexisting phases in a broad range of pH and salt concentrations. We validate the model by comparing to recent simulations and experimental studies, as well as our own experiments on poly(acrylic acid) / poly(allylamine hydrochloride) complexes. The simulations using our model predict that monovalent ions partition approximately equally between both phases whereas divalent ones accumulate in the PEC phase. On a semi-quantitative level, these results agree with our own experiments, as well as with other experiments and simulations in the literature. In the sequel, we use the model to study the partitioning of a weak diprotic acid at various pH of the supernatant. Our results show that the ionization of the acid is enhanced in the PEC phase, resulting in its preferential accumulation in this phase, which monotonically increases with the pH. Currently, this effect is still waiting to be confirmed experimentally. We explore how the model parameters (particle size, charge density, permittivity and solvent quality) affect the measured partition coefficients, showing that fine-tuning of these parameters can make the agreement with the experiments almost quantitative. Nevertheless, our results show that charge regulation in multivalent solutes can potentially be exploited in engineering the partitioning of charged molecules in PEC-based systems at various pH values.
High-throughput solubility determination for data-driven materials design and discovery in redox flow battery research
Authors: Liang Yangang , Job Heather , Feng Ruozhu , Parks Fred , Zhang Xin , Hollas Aaron , Bowden Mark , Murugesan Vijayakumar , Wang Wei
Published: June 2023

Solubility is crucial for redox flow batteries as it affects their energy density. A data-driven approach based on AI/ML models can speed up the development of highly soluble redox active materials, but accurate solubility prediction remains elusive because of the lack of relevant databases. To overcome this deficiency, we developed a high-throughput experimentation process that combines a robotically controlled platform with high-throughput methodology to collect large-scale and high-quality solubility data. We demonstrate the potential utility and applicability of this high-throughput process by measuring the aqueous and non-aqueous solubilities of redox active materials and studying the effect of additives on their solubilities for both aqueous and non-aqueous redox flow battery applications. A redox flow battery based on our optimized negative electrolyte formulation and ferrocyanide positive electrolyte offers highly stable performance over 18 days (>100 cycles) with consistent capacity and a 24% boost in energy density.
Unravelling the Super-Reductive State of Iridium Photoredox Catalysts
Authors: Lloret-Fillol Julio , Pascual David , Fernandez Sergio , Sun Suyun , Dubed Bandomo Geyla C. , Martin-Diaconescu Vlad , Vettori Mattia , Meng Jingjing , Kandoth Noufal , Benet-Buchholz Jordi , Juliá Fabio , Pérez-Prieto Julia
Published: June 2023

Harnessing the excited state of reduced species has long posed a challenge in the field of photocatalysis. This study presents the isolation and characterization of 1-electron reduced iridium complexes commonly employed in photoredox catalysis. Stochiometric reactions unveiled an unprecedented super-reductant ability for the isolated complexes under light irradiation, reaching potentials below 3 V vs SCE. Notably, the reduced iridium complex can also be electrochemically generated in situ with analogous super-reductant ability, enabling electro(photo)catalysis. Experimental and computational studies reveal that photoreactivity rises from intrinsic excitation of the reduced (bpy●‒)* ligand within the iridium complex, while the metal center acts as a spectator. Corroborating this finding, the organic salt Li+bpy●‒ exhibited equivalent super-reducing reactivity under photochemical conditions. Our findings shed light on the access to the super-reductant states of iridium photoredox catalysts and other metalated bipyridines, opening new opportunities for electro(photo) synthetic methodologies.
Plasma radicals as kinetics-controlling species during plasma-assisted catalytic NH3 formation: support from microkinetic modeling
Authors: Liu Tsung-Wei , Gorky Fnu , Carreon Maria , Gomez-Gualdron Diego
Published: June 2023

About 1% of the world’s CO2 emissions are tied to the standard method to produce NH3 (i.e., Haber-Bosch process), hence there is a need to decarbonize the production this chemical. To this end, plasma-assisted catalysis is emerging as a “green” alternative to synthesize NH3. However, insufficient mechanistic understanding of this process has hindered significant improvements in its cost-effectiveness. Here we leverage “minimal plasma” microkinetic models and select experiments in a dielectric-barrier discharge (DBD) plasma reactor to look for missing mechanistic insights. Relatively robust to model assumptions, we find that our modeling supports the thesis that plasma N and H radicals are the kinetics controlling plasma species for reactions involving the catalyst. This support stems from the realization that only the inclusion of N and H radicals in our models can readily explain key experimental observations for plasma assisted NH3 synthesis such as: i) similar catalytic activity for Fe and Ag (two metals at the opposite ends of N2 dissociation capabilities), ii) activity increase in Fe (a metal that readily dissociates N2) relative to thermal catalysis, and iii) detection of catalyst bound N2HY species. We also find the N radicals (a source of surface bound N*) to be more important in nitrophobic metals and H radicals (a hydrogenating agent via Eley-Rideal reactions) to be more important in nitrophilic metals. On the other hand, other mechanistic aspects such as the kinetic relevance of N2HY-forming pathways and dissolution reactions are discussed as a function of model assumptions. Our modeling suggests that some of these assumptions could be potentially clarified through in situ compositional analysis of catalyst adlayers (e.g., the fraction of radicals from the plasma bulk that reach the catalyst surface), as the adlayer composition seems to be rather sensitive to the plasma environment assumed to be “seen” by the catalyst.
Análisis estratégico en la gestión de un reactor de investigación
Authors: Solís Pillaca Rocío Del Pilar
Published: June 2023

Los reactores de investigación juegan un papel fundamental en el desarrollo de las aplicaciones pacíficas de la energía nuclear. Este aporte incluye su participación en la medicina, industria, ciencia, investigación y educación. Por ello, y con la finalidad de aprovechar al máximo su utilización, se requiere de una planificación estratégica. Para tal fin, se empleó la herramienta FODA como base del análisis estratégico y del planeamiento requerido en la gestión de la utilización de los reactores de investigación, cuyo resultado permite identificar las necesidades de todas las partes interesadas y gestionar el impacto de estas para una oportuna toma de decisiones. El objetivo es garantizar la continuidad del funcionamiento seguro y sostenible del reactor de investigación existente en el marco de potenciales inversiones por modificaciones y ampliaciones en sus instalaciones.
Building Partnerships for more sustainable, resilient and regenerative business models Subtitel: Introduction to the New Business Models 2023 Conference proceedings
Authors:   Maastricht University, Diaz Gonzalez Abel , Koning Juliette , Bocken Nancy
Published: June 2023

This paper discusses the proceedings of the 2023 International Conference on New Business Models (NBM 2023), which focused on exploring innovative ways of developing sustainable and responsible business models. The conference brought together a multidisciplinary community of scholars and industry leaders to exchange knowledge, ideas, and experiences. The proceedings include abstracts and papers accepted for presentation during the conference, offering the opportunity to explore different types of contributions focusing mostly on the design, implementation, and evaluation of new business models. The proceedings also highlight successful case studies that showcase real-world applications of new business models in Europe and the Global South, demonstrating their potential to create sustainable value, foster collaboration, and address pressing global challenges. The article also discusses several areas of future research in the domain of new and sustainable business models, including circular economy business models, business model innovation, sustainability and resilience, stakeholder engagement, social impact measurement, cross-sector collaboration, human-centric design, and the role and amplitude of ecosystems and the potential of its support structures.
Elements of Blockchain-based Circular Business Models in Manufacturing: A Synthesis of the Literature
Authors:   Eindhoven University of Technology, Tonnaer Luke , Aysolmaz Banu , Turetken Oktay
Published: June 2023

The manufacturing industry faces barriers to transitioning to a circular economy. Blockchain technology can help manufacturing supply chains overcome barriers and achieve core principles of circular economy, for example, through increased traceability of materials among network partners. However, the current literature lacks an overview of the contribution of blockchain to circular business models (CBMs) that can be used as a reference to facilitate the implementation of blockchain-based circularity solutions in manufacturing. In this study, we performed a systematic literature review to identify the studies that provide blockchain applications and use cases for CBMs in the manufacturing industry. We classified the selected articles according to the elements of networked business models, as such solutions involve multiple businesses that collaborate tightly. Our results show traceability and transparency as the central value propositions of CBM networks. We provide a classification of network actors and roles, their coproduction activities, and common benefits they gain and costs they incur to achieve the value propositions. Our results provide a better understanding of the body of knowledge on the use of blockchain for CBMs and highlight understudied points. Manufacturing companies can leverage our comprehensive classification and enumeration of CBM elements to inform and optimize the design of their own CBMs. In future work, we aim to provide more assistance to companies by developing reference blockchain CBM blueprints and applying them to CBM design to evaluate their effectiveness and utility.
Circular Business Models in Automotive Industry
Authors:   University of São Paulo, Mello, de Adriana Marotti , Ressurreicao, da Matheus de Jesus
Published: June 2023

While researchers have increasingly investigated to what extent circular business models contribute to sustainability in various production chains, using circular strategies such as close, slow, marrow, regenerate, the automotive industry is little studied. Currently, most of the literature about sustainability and automotive industry focuses on exploring the impacts of vehicle use (on mobility, energy use, or air pollution), and there is almost no research on the production or post use impacts. Regarding circular business models, there is a lack of an integrative framework that analyzes the operationalization of these models in practice in the automotive industry, specifically in global south contexts, where circular business models are a relevant part of automotive markets, although they are almost ignored by researchers, public agents, and industry. To fill this gap, this research aims to answer the following question: how are circular business models characterized in the automotive industry, specifically in global south contexts? To achieve this goal, a review of relevant literature was conducted and, illustrative cases are presented with the aim of relating the application of theoretical constructs in the observation of business practice. Thus, it is expected that the relationship between circular business models applied to the automotive industry will be better illustrated and clarified, allowing to illustrate the application of the theoretical constructs established in the relevant literature in the context of the Global South and to identify potential drivers and barriers, as well as future lines of research.
Scaling social impact: Collaboration between work-integration social enterprises and for-profit enterprises
Authors:   University of Applied Sciences Utrecht, Bell, de Leendert , Bakker Linda ,   University of Applied Sciences Utrecht, Orden, van Claudia ,   Windesheim University of Applied Sciences
Published: June 2023

This research aims to contribute to a better understanding of strategic collaborations between work-integration social enterprises (WISEs) and for-profit enterprises (FPEs) with the joint objective to improve labour market opportunities for vulnerable groups. We find that most collaborations strive towards integration or transformation in order to make more social impact.
Design Methodology of Service-oriented Circular Economy Business: A Case Study of Bike-Sharing
Authors:   The University of Tokyo, Kodama Takumi , Kimita Koji , Kishita Yusuke
Published: June 2023

This article discusses the concept of service-oriented circular economy (SoCE) businesses, which integrate digital technology and aim to promote sustainability. The article provides examples of SoCE businesses and discusses the challenges of assessing their environmental impact. The authors propose a method for designing SoCE business scenarios, which involves describing scenarios using a narrative format and evaluating them using a simulation model. The article includes a case study of a bike-sharing business in Japan, which demonstrates the usefulness of the proposed method in structurally representing the relationship between elements of the business and assessing its environmental impact.
Exploring the Archetypes of Sustainable Business Models in the Tourism and Recreation Industry in Zeeland (Netherlands)
Authors:   HZ Knowledge Centre Entrepreneurship & Innovation, Maldegem, van Ageeth , Peeters Frank , Bleyenberg Stef , Raufi Nilab
Published: June 2023

This study is the first in a wider research programme aiming for more understanding of sustainable business models in the Tourism and Recreation (T&R) industry. By analysing ten cases in the region of Zeeland in the Netherlands, it describes archetypes, patterns of business models, that are typically applied by the accommodation and restaurant industry. Archetypes offer inspiration for those (re)designing their business models and are important to accelerate sustainability. The findings reveal ten archetypes, of which two were not identified before. The archetypes fit within seven overarching themes. These themes explain how T&R businesses take the first steps towards a more holistic type of hospitality in which a wide responsibility is taken for the people and nature surrounding their businesses.
Pioneer, Consolidate, or Adapt: The Innovation Pathways in Circular Cross-Sector Partnerships
Authors:   University of Hamburg, Margolis Anna
Published: June 2023

Using a multiple-case study of eight circular cross-sector partnerships (CCSPs), this study examines why some CCSPs produce transformative circular innovation, while others do not. Combining process studies and systems thinking, I define a map of the transformative innovation process in CCSPs and identify three innovation pathways: pioneering, consolidating, and adapting.
Organizing for Additive Manufacturing: The Establishment of Interest Groups for Promoting Sustainable Production Through Additive Manufacturing
Authors:   SINTEF, Halvorsen Trond
Published: June 2023

Additive manufacturing (AM) technologies can enable transitions to circular business models in production and repairs, but the uptake is not as rapid as some would like. This article describes the establishment of interest groups in support of AM in the Nordic countries, with a special focus on Norway. Action research conducted over four years detailed the process leading up to Norway's first national AM organization, established in June 2022. This development followed the emergence of similar organizations in Denmark, Finland and Sweden. The industry led approach taken in these countries is compared to the publicly funded AM cluster in Singapore, a country with a clear national aim of mastering AM. By highlighting similarities and differences between these countries, the article aims to provide regulators and policy makers new insights into the drivers and barriers connected to the twin green and digital transition to sustainable manufacturing.
Young Dutch Consumers’ Purchase Intention of Refurbished Electronic Devices and Influencing Factors: An Empirical Study
Authors:   Saxion University of Applied Sciences, Haaker Timber , Ho Henry Wai Leong
Published: June 2023

The purpose of this study is to examine young consumers’ purchase intention of refurbished electronic devices (REDs) such as laptop, tablet, mobile phone and game console. From literature review the factors that influence purchase intention were identified and used in a survey study as independent variables. From an analysis of the correlation of the factors with purchase intention their relative importance was established which can be used to develop attractive value propositions and business models for REDS for young consumers.
Data Sources in Data Driven Circular Business Models: An explorative Approach
Authors:   Technical University of Graz, Yang Lilia , Santa-Maria Tomas ,   University of Desarrollo, Breitfuss Gert ,   Know Center GmbH
Published: June 2023

This article discusses the role of data sources in data-driven circular business models (CBMs) that support sustainability. The circular economy (CE) is a response to the challenge of meeting sustainability targets, and CBMs have gained traction in recent years. Big data is seen as a driving force for the new circular economy, and can help overcome barriers to CBMs. Data sources are key elements of data-driven solutions, and this paper collects use cases that contain data-driven business models that contribute to CE, analyzes those use cases, identifies circular strategies in businesses, and displays the connection of them with data sources. The most frequently used circular strategies in the analyzed use cases are Reduce, Rethink, and Recycle, and the most frequently used data sources are Product-generated Data, Process Data, Open Data, Geographic Data, and User-generated Data. The paper recommends businesses focus on collecting product- and user-generated data for implementing circular strategies in their business model.
Business models of collaborative urban upcycling initiatives: Understanding how strategic partnerships accelerate upcycling of discarded furniture and interior design products
Authors:   Amsterdam University of Applied Sciences, Hees, van Marco , Oskam Inge , Bocken Nancy ,   Maastricht University
Published: June 2023

This study examines the business models of collaborative urban upcycling initiatives in European cities, which aim to reduce local solid waste streams. The study identifies various types of partnerships in urban upcycling, including partnerships with public stakeholders and private partnerships between local entrepreneurs and larger corporations. The value propositions of upcycling initiatives are largely based on providing services, such as creative-technical capabilities, knowledge, creative design skills, community or platform access, or repair skills. Partnerships focus on availability of material, human and technological resources, and innovation capabilities. The study concludes that a wide variety of financial revenue models occur in urban upcycling collaborations, and its findings may support policy makers in creating new incentives for stimulating urban upcycling practices.
Perceptions on resources and resilience attributes of short food supply chains to external shocks: A case study of Ecuadorian fine cocoa sector
Authors:   Ghent University, Merino-Gaibor Elvia , Amaya Rivas Adriana A. ,   ESPOL Polytechnic University, Gellynck Xavier
Published: June 2023

Spatially extended Short Food Supply Chains (SFSCs) can enable small-scale producers' resilience capacity to external shocks, offering secure and traceable food sources. Furthermore, expanding sustainable commercial cocoa crops in spatially extended SFSCs may increase the production of cocoa beans in a way that is environmentally sustainable and socially responsible. This can involve promoting the use of agroforestry systems, which integrate trees and crops to enhance biodiversity and soil health, reducing the use of harmful chemicals. By implementing this type of SFSCs, small-scale farmers can obtain a reliable source of income while simultaneously preserving the environment. This study examines Ecuador, a major fine cocoa exporter, and aims to advance knowledge on the resources and attributes of SFSC intra-firm resilience that determine small-scale cocoa farmers' resilience capacity. Qualitative research methods reveal that small-scale farmers in spatially extended SFSCs exhibit resilience during crises, highlighting the importance of this organizational model in enduring market disruptions.
Exploring The Sustainable Business Model Of Digital Platforms: A Systematic Literature Review
Authors:   University of Verona, Valcozzena Silvia , Attanasio Giovanna ,   University of Udine, Battistella Cinzia , Cantele Silvia
Published: June 2023

Building on the relevance that sustainable digital platforms and sustainable business models are assuming in both academia and business practice, this paper explores the theme of sustainable business model of digital platforms and, through a literature review, supplies a first classification of digital platforms based on their value proposition.
Why is sustainable fashion so fashion?
Authors:   Sapienza University of Rome, Grieco Cecilia , Fratarcangeli Chiara , Morgante Alberto
Published: June 2023

The fashion industry is among those with the highest impact on the environment and social context. The call for sustainability has led to the rise of alternative modes of consumption, such as second-hand shopping and rental commerce, through which the actors of the industry try to integrate sustainability into their business models. Consumers enthusiastically welcomed these innovations, and most of all those belonging to the Generation Z that is also known as the green generation for their interest and commitment with sustainable initiatives. Yet, sustainable consciousness is not the only purchasing driver that leads these consumers towards sustainable fashion, rather several drivers have been identified. The purpose of the research is to explore the Generation Z segment and delve into their motivations, proposing a segmentation that is based on their approach. A cluster analysis has been performed on 202 consumers, leading to the identification of four main segments: the eco-drivers, the explorers, the trendy-lovers and the unique.
Mapping Theories Within The Literature On Sustainable Business Models: A Systematic Literature Review
Authors:   University of Verona, Valcozzena Silvia
Published: June 2023

The literature on SBMs is recent and evolving. It rests on earlier well-established literature, that of Corporate Social Responsibility (CSR) and Corporate Sustainability (CS). In these fields of research, there are already numerous works that have identified and mapped the relevant and most used theories. On the other hand, much of the literature on sustainable business models (SBMs) has yet to be catalogued. Therefore, to fill this existing gap, this study has undertaken a systematized review of the literature. This review process is based on Denyer and Tranfield's (2009) logical steps with a twofold objective: first, to map existing theories in the field of sustainable business models, starting with the main theories of CSR and CS and studying their uses, and then to explore additional existing theories and how they too are used for explaining some aspects of SBMs. Second, seek to understand whether the use of different theories is complementary within this still emerging and growing literature devoted to SBMs. This systematic review will represent a survey of all existing theoretical perspectives used to date to explain aspects of a sustainable business model, then leave room for further future research in this area.
Evaluating circular business model innovation tools: Using the QuickScan Circular Business Models as case study
Authors:   Saxion University of Applied Sciences, Yishake Maerhaba , Haaker Timber
Published: June 2023

Developing a practical and effective business model innovation tool (BMIT) can be very challenging (Ebel et al., 2016). It involves aspects such as functionalities, user friendliness, time spent on the tool, effect of the tool, accessibility and etc. Transforming and visualizing the QuickScan Circular Business Models white paper written by Jan Jonker, Niels Fabels and Timber Haaker, to the excel circular business model innovation tool (CBMIT) needed and still needs continue collaboration and fine tuning together with the authors and with the users. It needs testing, reexamining and possibly redesigning. In this paper, two evaluation instruments are used in evaluating the QuickScan tool; taxonomy of functions and a checklist for CBMI tool development. The results of these evaluations have provided some insight in improving and upgrading the QuickScan. The goal of this paper is to explore the possibilities in upgrading and making this tool more user friendly and effective, which have already been done to some level when the QuickScan tool was adapted to the building industry by the end of 2022. The thorough evaluation of the QuickScan based on existing theories, frameworks, taxonomies and user experiences can not only provide more solid base for redesigning the tool but also contribute to the further advancement of circular business model innovation tools which are more effective in speeding up the circular transition.
SEMG APPROACH FOR SPEECH RECOGNITION
Authors:   Department of Electronics KJSIT  Mumbai, India, Shisode Siddesh
Published: June 2023

Speech is the most familiar and habitual way of communication used by most of us. Due to speech disabilities, many people find it difficult to properly voice their views and thus are at a disadvantage. The research tackles the issue of lack of speech from a speech impaired user by recognizing it with the use of ML models such as Gaussian Mixture Model - GMM and Convolutional Neural Network - CNN. With properly recorded and cleaned muscle activity from the facial muscles it is possible to predict the words being uttered/whispered with a certain accuracy. The intended system will additionally also have a visual aid system which can provide better accuracy when used together with the facial muscle activity-based system. Neuromuscular signals from the speech articulating muscles are recorded using Surface Electro Myo Graphy (SEMG) sensors, which will be used to train the machine learning models. In this paper we have demonstrated various signals synthesized through the ElectroMyography system and how they can be classified using machine learning models such as Gaussian Mixture Model and Convolutional Neural Network for the visual-based lip-reading system.
HARNESSING DEEP LEARNING FOR WILDFIRE RISKS PREDICTION: A NOVEL APPROACH
Authors:   Department of Software Engineering, Faculty of Information Technology, Hanoi University of Mining and Geology Hanoi, Vietnam, Duc Hoang Anh
Published: June 2023

This article presents a pioneering approach for predicting wildfires risks using deep learning techniques. By combining convolutional neural networks (CNNs), recurrent neural networks (RNNs) and Adaptive Moment Estimation (ADAM), our framework analyses geospatial and environmental data to capture the intricate dynamics of disasters. Our model integrates satellite imagery, climate data, socioeconomic factors, and historical records to accurately assess risks. Leveraging transfer learning, we optimize training efficiency with pre-trained models. Extensive experiments demonstrate the superior performance of our deep learning framework compared to traditional methods. With its ability to enable proactive planning and decision-making, our approach strengthens disaster preparedness and response strategies. This research represents a significant advancement in utilizing deep learning for predicting wildfires risks, paving the way for further innovations in this vital field.
INTELLIGENT FRAMEWORK FOR DETECTION OF PLANT/CROP DISEASES USING DEEP LEARNING
Authors:   Amity School of Engineering and Technology                              Amity University, Uttar Pradesh                                       Lucknow,India, Gupta Ravi Kumar
Published: June 2023

The financial influence of agriculture today is expanding in tandem with the economy of our nation and has become the large industry which plays a vital and crucial role for the uplifting of our nation. Keeping track of plant diseases caused by the assistance of experts could be expensive when it comes to the agricultural area, so there is a need for a system capable of automatically identifying since it could revolutionize the monitoring of vast fields of crops and allow for the plant's treatment of leaves as soon as possible after disease detection. There are numerous illnesses that harm various plants/crops and hamper their growth and agricultural fields. So there is a need to identify the disease and tell how to recover from it. So there is a need to develop such an application which could help in the prediction of plant/crops disease and how to recover from the same. In many nations, including India, agriculture is a substantial industry. Given that a massive portion of the Indian financial system depends on agricultural production, it is crucial to give the issue of food production a careful study. The agricultural industry gave immense importance to the nomenclature and acknowledgment of crop infection on both technical and financial level. While monitoring the plant diseases which are caused in the agricultural fields with the help of experts could be very expensive in the long run so a technique or system that can recognize diseases automatically is required because it could change the way the vast fields of crops are monitored, and a perfect automated system could be built which could easily detect the plant diseases. It has become a necessity to develop an automated system which could easily detect the plant diseases beforehand and could easily help in overcoming them by suggesting the measures and techniques to overcome them. So that agricultural productivity could be increased, and agricultural production could be done properly with vast production of good quality crops which in turn help in growth of our nation.
MANGROVE SIMULATION: ATTENUATION OF STORM SURGES IN PROTECTING COASTAL AREA AND GEOSPATIAL SIMULATION MODEL OF MANGROVE FOREST IN PALSABANGON MANGROVE SWAMP FOREST RESERVE PAGBILAO, QUEZON
Authors:   , MSIT College of Computer Studies Laguna State Polytechnic University Laguna,  Santa Cruz, Laguna, Philippines, Gueta Harrold M.
Published: June 2023

The objective of this research is to designed and developed a system known as Mangrove Simulation: Attenuation of Storm Surges in Protecting Coastal Area and Geospatial Simulation Model of Mangrove Forest in Palsabangon Mangrove Swamp Forest Reserve Pagbilao, Quezon. The system incorporates various functionalities including web-based application and geographical information system for administrator and staff of Palsabangon Mangrove Swamp Forest Reserve. To utilize the Agent-Based model that simulate and predict the growth and spatial distribution of various mangrove species with regards to the environment. To evaluate of the accuracy of the algorithm in mangrove simulation with geographic information system mapping aims to improve they understanding of the ecological dynamics and spatial patterns of mangroves, and provide useful information for the management and conservation of mangrove ecosystems. The system underwent a comprehensive testing process to assess its functionality, suitability, reliability, performance efficiency, operability, security, compatibility, and maintainability. The results revealed that the system achieved an overall mean score of 4.09, indicating a "Very Satisfactory" rating. This signifies that both experts and clients were very satisfied with the system's characteristics. Moreover, it passed on the standard rating level of ISO/IEC 25010. This remark indicates that the system performed effectively and achieved its goals.