bluuebunny/crossref_metadata_2025 huggingface dataset:
CHALLENGES AND PROSPECTS FOR INTEGRATION OF INTERORGANIZATIONAL LOGISTICS COORDINATION IN SUPPLY CHAIN MANAGEMENT
Authors:   Peoples’ Friendship University of the Russian Academy of Sciences, Moscow, Russian Federation, Bodyako Anna V. ,   Financial University under the Government of the Russian Federation, Moscow State University of Economics, Moscow, Russian Federation, Ivanov Vladislav R. ,   Peoples’ Friendship University of the Russian Academy of Sciences, Moscow, Russian Federation
Published: February 2025

The integration of inter-organizational logistics coordination into supply chain management is the most important direction for modern enterprises seeking to remain competitive in a rapidly changing and complex global market. This article examines the multifaceted problems and promising prospects associated with such integration. Key challenges include the difficulty of coordinating different systems and processes, ensuring technological compatibility, data protection, regulatory compliance, and bridging cultural and organizational differences. Despite these obstacles, successful integration provides significant benefits such as improved operational efficiency, faster response to market changes, and stimulating innovation. Real-world examples from industry leaders like Procter & Gamble, Walmart, Maersk, IBM, Ford, Toyota and Apple illustrate the transformative impact of effective logistical coordination. These case studies highlight the importance of strategic planning, technology investments, and strong collaborative relationships. The article concludes that while the path to achieving seamless inter-organizational logistics coordination is complex and resource–intensive, the potential benefits – from cost reduction and improved risk management to increased sustainability – make it a worthwhile endeavor for companies seeking to thrive in an ever-changing global supply chain.
INSTITUTIONAL AND CULTURAL STRUCTURE OF THE ARTIFICIAL INTELLIGENCE MODEL SUPPORTING POLITICAL DECISION-MAKING
Authors:   Association "Mitra", Pushkinskaya street. 241, 60, 426008 Izhevsk, Russia, Perevedentsev D. A. , Bryndin A. V. ,   Izhevsk State University named after M. T. Kalashnikov, 426069, Studencheskaya 7, Izhevsk, Russia, Zyuzin A. N. ,   Russian University of Cooperation (Izhevsk Branch), 109 Molodezhnaya Street, Izhevsk, 426000, Russia
Published: February 2025

The creation of human-machine information technologies to support political decision-making is a significant step in the development of civil society, democracy, and raising the political culture of politicians and voters. The author also plans to exclude manipulative, populist, corruption- and confrontationally dangerous political texts from political activity. It is proposed to use the full diversity of socio-cultural knowledge to assess political texts. In the structure of this knowledge, ideology is a means of influencing supra-constitutional institutions (culture: science, religion, art) on constitutional institutions (norms of activity). It is proposed to use the results of the scientific school of political economy of traditionalism and multicultural institutionalism as the theoretical and methodological basis for constructing this structure. It is planned to use political programs of parties and the most significant bills as the initial basis for developing an artificial intelligence model. It is planned to primarily study value-target attitudes and interests in relation to the most important institutional agents: consumers, investors, em-ployees, managers, inventors and entrepreneurs. The assessment methods include structural, discursive, narrative and intent analysis, methods of quasi-genetic reconstruction of texts and semantic differential. A digital platform that supports political decision-making during elections and discussions of draft regulations allows solving problems of interaction between politicians and voters. Politicians will be able to assess political programs and bills (their own and those of political opponents) for compliance of these texts with the needs of target social groups. Voters will be able to assess these documents for compliance with their interests and value-target set-tings.
Investigating Challenges of Using Ammonia as a Future Fuel for Marine Industry: A Review
Authors: Oterkus Erkan , Bedekar Kishore , Oterkus Selda
Published: February 2025

To reduce the greenhouse gases as per the forthcoming IMO rules, ammonia seems to be a suitable fuel for marine industry since it’s a hydrogen carrier and a carbon, Sulphur, and particulate matter free fuel. It has high volumetric hydrogen density, low storage pressure, and high auto ignition temperature. Ammonia can be used directly in internal combustion engines, and gas turbines.  Cracked hydrogen can be used for fuel cells. The 4th IMO Greenhouse Gas Study 2020, estimates that if no further action is taken, international shipping emissions are expected to represent 90% to 130% of 2008 emission levels by 2050. There will also be a rise in atmospheric CO2 and there is already a rise in average global sea levels from 21.9 to 23.7 between 1880 and 2010. This will affect large coastal areas of the world and island nations. The challenges for ammonia are its foul odor, corrosive nature, and being highly toxic to humans and the environment. There is also an explosion risk. Other issues are bunkering and storage on board, corrosive effect on metals, shore infrastructure, commercial and technical viability. Therefore, this study gives an overview of challenges that will be faced on board ships to use ammonia as fuel.
ASUHAN KEBIDANAN HOLISTIK DENGAN PENDEKATAN CONTINUITY OF CARE TERHADAP KESEHATAN MENTAL IBU POSTPARTUM
Authors: Lustiani Ika , Filda Fairuza  , Susilawati  , Siti Ummu
Published: February 2025

Kesehatan mental ibu postpartum merupakan salah satu aspek penting dalam perawatan kesehatan ibu, terutama setelah melahirkan. Masa postpartum atau masa setelah persalinan sering kali dihadapkan pada perubahan fisik, emosional, dan sosial yang signifikan. Namun, di banyak kasus, perhatian terhadap kesehatan mental ibu postpartum sering kali kurang mendapatkan perhatian yang memadai, Secara global, diperkirakan sekitar 13% dari ibu nifas mengalami gangguan kesehatan mental, khususnya depresi pasca persalinan (WHO, 2015). Di Indonesia, diperkirakan 26% ibu pasca melahirkan mengalami depresi (Nurbaeti et al, 2018). Tujuan penelitian ini adalah untuk mengetahui efektivitas Asuhan Kebidanan Holistik Dengan Pendekatan Continuity of Care Terhadap Kesehatan Mental Ibu Postpartum. Desain penelitian ini menggunakan quasi eksperimen dengan rancangan pretest posttest case control design. Sampel menggunakan total sampling dengan sampel tanpa perlakuan adalah 34 ibu dan sampel perlakuan 34 ibu Uji hipotesis penelitian ini menggunakan non-parametrik Mann-Whitney test memperoleh nilai 302.500 yang dikonversikan ke nilai Z dan diperoleh -3.419 dengan hasil signifikan 0.001 (<0.005), dengan demikian dapat disimpulkan bahwa terdapat perbedaan yang signifikan antara hasil pengukuran kesehatan mental antara kontrol dan perlakuan. Pentingnya dukungan emosional dari pasangan, keluarga, dan teman-teman. Dukungan sosial yang kuat dapat membantu ibu menghadapi stres, kecemasan, atau bahkan depresi pasca-persalinan
A review on experimental designs in hplc method development and validation
Authors: K Supriya , S Asma Parveen , Y Prapurna Chandra
Published: February 2025

The development and validation of High-Performance Liquid Chromatography (HPLC) methods are critical steps in ensuring the accurate, reliable, and reproducible quantification of analytes in various matrices. This study outlines a systematic approach to HPLC method development and validation, including the selection of appropriate stationary and mobile phases, optimization of chromatographic conditions, and evaluation of method performance. The developed method demonstrated excellent performance with linear calibration curves (R²>. 0.999), high precision (%RSD < 2%), and recoveries reliability under slight variations in analytical conditions. These findings confirm the suitability of the method for routine analysis in pharmaceutical, clinical, or industrial applications. Every day many chromatographers face the need to develop a high-performance liquid chromatography (HPLC) method. This review describes systematic procedures for developing an HPLC method, based on the best information available. HPLC method development involves several essential steps: sample pretreatment, detection of sample bands, choosing separation conditions, quantitation, and method validation. HPLC is an analytical tool which is able to detect, separate and quantify the drug, its various impurities and drug related degrades that can form on synthesis or storage. This article describes strategies & an issue comes in development of a HPLC method development & validation.
Valorization of Municipal Solid Wastes and Paper Mill Sludge Through Their Steam Co-Gasification for the Production of Energy Carriers Rich in H2 and Lean in Greenhouse Gas Emissions
Authors: D. Vamvuka  , N. Papanagiotou  , A. Ntounta-Marek
Published: February 2025

This study aimed to explore the valorization of municipal solid wastes and paper mill sludge through their steam co-gasification, for the production of energy carriers rich in H2 and lean in CO2 greenhouse gas emissions. Waste concrete fines and paper sludge ash were investigated as CO2 sorbents and Na2CO3 as a catalyst. The experiments were carried out in a fixed bed reactor coupled with a thermal analysis-mass spectrometer unit. The analysis encompassed various aspects including the composition of the resulting gas and its heating value, H2 and syngas yield, fuel conversion and energy recovery, under different operating conditions. When quarry dust was used to capture CO2 at a calcium-to-carbon molar ratio of unity and 750 °C, H2 in the product gas was 75.7 mol%, molar ratio H2/CO was 7.19 and syngas yield was 0.65 m3/kg. When the Na2CO3 catalyst was added at a loading of 20%, H2 in the gas mixture was increased to 81%, the syngas yield to 2.82 m3/kg and conversion of fuel was complete. When paper sludge ash was used as CO2 sorbent a higher amount of CO2 was captured, however the selectivity towards H2 production was lower. The performance of Na2CO3 catalyst was better in the presence of quarry dust sorbent.
Beta vulgaris Extract as a Post-Cholecystectomy Dietary Intervention: A Systematic Review of its Effects on Gut Microbial Balance, Bile Acid Metabolism, and E. Coli/Lactobacillus Dynamics
Authors: Benedick Johanes Alvian  , Sigit Adi Prasetyo  , Yora Nintida
Published: February 2025

Background: Cholecystectomy, while a common surgical procedure, significantly alters bile acid dynamics and the gut microbiome, potentially leading to an imbalance favoring opportunistic pathogens like Escherichia coli over beneficial bacteria like Lactobacillus. This systematic review investigates the potential of beetroot (Beta vulgaris) extract, rich in betalains and prebiotic fibers, as a dietary intervention to mitigate these post-cholecystectomy microbial shifts.
Methods: A systematic search of PubMed, Scopus, Web of Science, and Cochrane Library databases was conducted for studies published between 2013 and 2024. Keywords included "cholecystectomy," "gallbladder removal," "bile acids," "Escherichia coli," "Lactobacillus," "beetroot," "Beta vulgaris," "prebiotic," "gut microbiome," and related terms. Studies investigating the effects of Beta vulgaris (or its constituents) on gut microbial composition, bile acid metabolism, or relevant clinical outcomes in post-cholecystectomy contexts (human or animal models) were included. Quality assessment was performed using the Cochrane Risk of Bias 2.0 tool for randomized controlled trials (RCTs) and the ROBINS-I tool for non-randomized studies.
Results: Seven studies met the inclusion criteria: three human RCTs, two animal studies (rats), and two in vitro studies. The human studies were of moderate to high risk of bias. The animal studies had a lower risk of bias but limited direct applicability to humans. The in vitro studies provided mechanistic insights but lacked the complexity of the in vivo environment. Due to the heterogeneity of study designs and outcome measures, a meta-analysis was not feasible. Beetroot extract supplementation (standardized to betalain content) was associated with a significant increase in Lactobacillus abundance (mean increase of 15%, p < 0.05) and a decrease in E. coli abundance (mean decrease of 10%, p < 0.05) in the post-cholecystectomy gut. There was also a shift in bile acid profiles, with an increase in secondary bile acids known to be less inhibitory to Lactobacillus.
Conclusion: While existing evidence is limited, the theoretical basis and preliminary findings suggest that beetroot extract holds promise as a post-cholecystectomy dietary intervention to promote a healthier gut microbiome. Further high-quality, well-powered RCTs are warranted to confirm these potential benefits and elucidate the underlying mechanisms.
Current efficacy of immune checkpoint inhibitors in microsatellite unstable colorectal cancer and potential biomarkers
Authors: Rojas Mariam , Rodrigo Clara , Moreno Reinaldo , Cascante Marta , Maurel Joan
Published: February 2025

Microsatellite unstable (MSI) colorectal cancer (CRC) tumors have a high mutational load (particularly frame-shift mutations) that creates numerous neoantigens that are presented to major histocompatibility complex molecules and recognized by T cells. Consequently, MSI tumors have a higher presence of tumor-infiltrating lymphocytes than mismatch repair-proficient tumors. Colorectal cancer patients with MSI constitute a rare group of immune checkpoint inhibitor (ICI)-responsive patients. Nonetheless, complete radiological responders comprise between 3% and 16% of MSI advanced CRC patients, which compares poorly with the 45% to 87% rate of pathological complete response in early MSI CRC patients treated with ICIs. In this review, we address the efficacy of current ICIs and the biological differences between early and advanced MSI CRC to potentially increase the efficacy of ICIs in both settings.
Control of diabetic nephropathy in male Wistar rats using ethanolic extract of Monodora myristica seeds and its biosynthesized selenium nanoparticles
Authors: Yusuf Babalola Ola , Okeme Usman , Akinfenwa Akeem Omolaja , Moronfolu Ibrahim Adeola , Bisiriyu Zaynab Abiodun , Lukman Halimat Yusuf , Olakunle Olanrenwaju Suleiman , Abdulfatah Lateefat Bello , Aiwinilomo Motunrayo Azeezat , Ibrahim Rasheed Bolaji
Published: February 2025

Aim: This research utilizes the ethanolic extract from seeds of Monodora myristica and its biosynthesized selenium nanoparticles (SeNPs) for the treatment of diabetic nephropathy (DN) in male Wistar rats. Methods: Biosynthesis of crystalline, quasi-spherical shape 5.0 ± 0.25 nm SeNPs was achieved using M. myristica seed extract as a reducing agent, followed by surface plasmon resonance measurement by ultraviolet-visible (UV-Vis) spectrophotometer, Fourier transformed infrared spectroscopy (FTIR), high-resolution transmission electron microscopy (HR-TEM), and selected area electron diffraction (SAED) for confirmation of nanoparticle biosynthesis. Male Wistar rats were induced with diabetes using a 3-weeks high-fat diet and a single intraperitoneal injection of streptozotocin (STZ). Experimental groups included normal control group, untreated diabetic controls and those treated with either metformin (a standard drug), ethanolic extract or biosynthesized SeNPs of M. myristica seed extract. Biochemical analyses assessed renal function via serum creatinine and urea levels. Histological evaluations of kidney tissues were performed to assess structural changes. Results: Treatment with M. myristica seed extract and its biosynthesized SeNPs significantly improved renal function, evidenced by reduced serum creatinine and urea levels. Histopathological studies showed preserved renal architecture and reduced inflammatory damage, particularly in the combination therapy group, indicating a synergistic effect. Conclusions: This study highlights the potential of M. myristica and its biosynthesized SeNPs in mitigating DN through nephroprotective mechanisms. These findings advocate for the exploration of nanotechnology combined with bioactive plant compounds as effective strategies for managing DN.
Grandparenting dan Faktor-Faktor Pola Asuh Permisif
Authors: Maida Maida
Published: February 2025

Abstrak
Penelitian ini mengkaji peran kakek-nenek dalam pengasuhan anak pada keluarga masyarakat perantau, dengan fokus pada pola asuh permisif yang mereka terapkan. Melalui studi kasus terhadap lima anak usia 7-12 tahun, ditemukan bahwa pola asuh permisif dipengaruhi oleh faktor-faktor seperti keterbatasan fisik akibat usia, keinginan memenuhi kasih sayang secara berlebihan, usaha menghindari konflik atau tangisan anak, serta rendahnya tingkat pendidikan kakek-nenek dan gap pengetahuan terhadap teknologi modern. Penelitian ini juga menyoroti dampak pola asuh permisif terhadap perkembangan anak serta dinamika sosial yang melatarbelakangi pengasuhan dalam konteks masyarakat perantau. Terdapat empat dampak yang diakibatkan pola asuh permisif yaitu, anak menjadi manja, kurang mampu mengontrol emosi, tidak memiliki disiplin diri, dan terlambat dalam perkembangan kognitif. Temuan ini memberikan wawasan tentang tantangan grandparenting sekaligus menegaskan pentingnya pola asuh yang lebih seimbang untuk mendukung tumbuh kembang anak secara optimal, serta menjadi dasar pengembangan intervensi yang relevan.
Pengembangan Kurikulum Pendidikan Islam di Madrasah: Tinjauan Literatur Tentang Tantangan dan Inovasi
Authors: Irfiana Yuni , Quddus Abdul
Published: February 2025

Pengembangan kurikulum pendidikan Islam di madrasah menghadapi tantangan besar dalam mempertahankan keseimbangan antara tradisi Islam yang kuat dan kebutuhan untuk berinovasi di era modern. Artikel ini bertujuan untuk meninjau literatur terkait tantangan dan inovasi dalam pengembangan kurikulum pendidikan Islam di madrasah. Dengan menggunakan metode penelitian kepustakaan (library research), artikel ini menganalisis berbagai penelitian dan kajian teoretis tentang bagaimana madrasah berupaya mengintegrasikan teknologi dan pendekatan modern dalam kurikulumnya sambil tetap menjaga nilai-nilai dasar ajaran Islam. Hasil kajian menunjukkan bahwa meskipun banyak tantangan yang dihadapi, seperti keterbatasan sumber daya dan perubahan kebijakan, terdapat peluang besar bagi madrasah untuk meningkatkan kualitas pendidikan melalui inovasi. Artikel ini memberikan wawasan tentang pentingnya sinergi antara tradisi dan inovasi untuk memastikan relevansi dan efektivitas pendidikan Islam di era globalisasi.
Pengaruh ROA, Ukuran Perusahaan Dan Pertumbuhan Penjualan Terhadap Penghindaran Pajak Perusahaan Manufaktur
Authors: Hikmah Nurul , Mahputera  , Febriyanti Ekea Multi
Published: February 2025

Penelitian ini bertujuan untuk menganalisis pengaruh Return on asset, ukuran Perusahaan dan pertumbuhan penjualan terhadap Penghindaran Pajak pada perusahaan Sektor Barang Konsumsi yang terdaftar di Bursa Efek Indonesia (BEI) Periode 2021 2023. Penelitian ini merupakan penelitian kuantitatif dengan menggunakan metode Regeresi Linear Berganda yang menggunakan SPSS 26. Data diperoleh dari perusahaan sektor Barang Konsumsi sebanyak 14 selama 3 tahun yang terdaftar di Bursa Efek Indonesia (BEI).
 
Hasil dari penelitian ini bahwa Return on asset, ukuran perusahaan dan pertumbuhan penjualan berpengaruh simultan terhadap penghindaran pajak dan Hasil penelitian secara parsial menunjukkan bahwa Return on asser tidak memiliki pengaruh yang signifikan terhadap penghindaran pajak sedangkan ukuran perusahaan memiliki pengaruh negatif yang signifikan terhadap penghindaran pajak dan pertumbuhan penjualan berpengaruh positif yang signifikan terhadap penghindaran pajak
Scientific work and language preparation as factors of student success at Ma'mun university
Authors:   Non-state educational institution "Ma'mun University" Khiva, Uzbekistan, Khudaiberganov Shukhrat Erkinovich , Khakimova Khalima Rinatovna ,   Non-state educational institution "Ma'mun University" Khiva, Uzbekistan
Published: February 2025

The article examines the scientific work of students from the Department of Language and Literature at Ma'mun University, located in the city of Khiva, in the context of their training, participation in scientific conferences, and the use of methodological recommendations from professors. Special attention is given to students' achievements in mastering the Russian language, which significantly impacts their professional future. The article analyzes the role of academic advisors and professors in preparing students for writing term papers and scientific research, as well as how their support influences the quality of scientific research. The importance of obtaining certificates of Russian language proficiency at the C1 level (TRKI-III) is discussed, which contributes to career growth and increases the competitiveness of graduates in the labor market.
Peran kepuasan terhadap minat beli ulang dengan word-of-mouth sebagai mediator ada pelanggan Kopi Tuku di Jabodetabek
Authors: Herdiyanto Robertus , Pardede Ratlan
Published: February 2025

Kopi Tuku is one of the modern café brands, specifically because it’s included in the Contemporary Coffee which uses Indonesian local coffee beans. The existence of Kopi Tuku makes researchist eager to know and analyze its customers behaviors specially in Jabodetabek area. This research aims to see the effect of customer satisfaction on repurchase intention with word-of-mouth as the intervening variable. This is a quantitative research with purposive sampling method to obtain the respondents. The research data was taken using g-form questionare which was processed and tested using Structural Equation Model analysis using AMOS 21 software. The population for this research is Kopi Tuku customers in Jabodetabek area with 214 respondents as its samples. After researchist conducting the hypothesis testing, the result are(1) Satisfaction has a positive and significant effect on Repurchase Intention, (2) Satisfaction has positive and significant effect on Word-of-Mouth, (3) Word-of-Mouth has no significant effect on Repurchase Intention and (4) Satisfaction has a positive and significant effect on Repurchase Intention with Word-of-Mouth as a mediating variable. This research also put the company’s policy regarding green policy as an indicator that reflects customer satisfaction
Strategi marketing dalam pengembangan medical tourism di Rumah Sakit Khusus (RSK) Bedah BIMC Siloam Nusa Dua
Authors: Swathy I Dewa Ayu Inggra , Gorda Anak Agung Ngurah Oka Suryadinatha
Published: February 2025

Medical tourism is one of the tourism activities that is growing rapidly, especially in the region of Bali as an island tourist destination. This study aims to identify the marketing strategy of one of the institutions providing medical tourism services in Bali, namely BIMC Nusa Dua Hospital. This research uses a qualitative method. Data collection was carried out by in-depth interview with instruments in the form of semi-structured interview guidelines. This research involved 4 informants who were selected by purposive sampling method. The data obtained were analyzed using the Miles & Huberman data analysis method. The results showed several themes, namely medical tourism in general at BIMC Nusa Dua Hospital, the implementation of medical tourism marketing strategies, cooperation, constraints, plans, and medical tourist experience. Based on the research results, it is known that the Medical Tourism marketing strategy at BIMC Nusa Dua Hospital focuses on several aspects such as communication, product/service quality, communication, cooperation, target market, website accessibility, and evaluation and monitoring. In the future, the development of several services and capacity in cosmetic surgery services will be the focus of BIMC Nusa Dua Hospital. Promotion and patient accommodation after undergoing medical procedures need to be a concern to improve the quality of service of RS BIMC Nusa Dua.
Analysis of dominant factors in enhancing muslim tourist satisfaction at halal tourism destinations
Authors: Purnomo Singgih , Purwandari Suci
Published: February 2025

This research examines the influence of halal tourism potential on Muslim tourist satisfaction at Torohudan Beach and Ngrenean Beach in Kanigoro Village. The study aims to identify the most dominant factors influencing tourist satisfaction, explicitly focusing on halal tourism destinations, accommodations, and travel services. A quantitative approach was employed, with data collected from 96 respondents using questionnaires. The data were analyzed using partial tests (t-tests) and Importance-Performance Analysis (IPA) to assess each variable's significance and prioritize improvement areas. The results indicate that all three components—halal destinations, accommodations, and travel agencies—significantly impact tourist satisfaction. Among these, halal accommodations emerged as the most dominant factor, highlighting the importance of providing halal-compliant facilities, such as halal-certified food and prayer spaces. The IPA identified halal tourism destinations and the availability of halal-certified dining options as key areas for improvement, as they were rated highly in importance but exhibited lower performance. The study suggests that improving these areas can substantially increase tourist satisfaction and enhance the competitiveness of these destinations. The findings have implications for local tourism managers, indicating where to focus efforts and resources to better cater to the needs of Muslim tourists and boost overall visitor satisfaction
Peningkatan Strategi Pemasaran Rumah Kacang Melalui ChatGPT dan Kalender Konten di Kota Makassar, Provinsi Sulawesi Selatan
Authors: Derrick Nelson Sidjaja  , Elza Alvin  , Gracielle Febriana Benly  , Calvin Gunawan  , Bayi Ananta Nauvan Ilham  , Yuyun Karystin Meilisa Suade
Published: February 2025

Usaha Mikro, Kecil, dan Menengah (UMKM) sangatlah membutuhkan strategi pemasaran yang baik agar brand UMKM dapat dikenal secara luas salah satunya adalah menggunakan pemasaran melalui media sosial dan pembuatan konten menggunakan artificial intelligence untuk pembuatan kalender konten. Fokus utama penelitian ini  adalah peningkatan strategi pemasaran melalui penerapan konsep branding dan integrasi teknologi Artificial Intelligence (AI). Kegiatan Abdimas ini bertujuan memberikan pelatihan mengenai pemakaian Artificial Intelligence (AI) yaitu Chatgpt untuk menghasilkan suatu kalender konten dan juga pengoptimalan promosi di sosial media selain memberikan pelatihan, UMKM diikutsertakan dalam event Expo yang diselenggarakan di Universitas Ciputra.
Hasil penelitian menunjukkan bahwa penerapan strategi branding memberikan identitas yang kuat bagi UMKM Rumah Kacang, meningkatkan daya tarik pelanggan, dan meningkatkan kepercayaan konsumen. Selain itu, integrasi teknologi AI dalam strategi pemasaran memberikan efisiensi dan personalisasi dalam menjangkau target pasar. Penelitian ini memberikan wawasan mendalam tentang bagaimana kombinasi branding dan AI dapat menjadi kunci dalam meningkatkan daya saing UMKM di era digital.
Mengembangkan Program Sosial Media & Pengetahuan Tanggapan Bencana Alam (BPBD) Untuk SLB Harapan Bunda Kota Surabaya
Authors: Rere Isa Shangpari Musti  , Putra Yudha  , Maghiesswara Bayu W.J  , Mistika Ayu Wulandari  , Lucky Cahyo Kurniawan  , Moch. Arkansyah  , Anita Agustina Wulandari
Published: February 2025

Mengembangkan Program Sosial Media & Pengetahuan Tanggap Bencana Alam untuk SLB Harapan Bunda merupakan tugas yang akan dilaksanakan oleh mahasiswa dari stikosa-AWS sebagai peserta KKL semester 6. Pada tanggal 22 Maret yang lalu, terjadi kejadian yang tidak menguntungkan, yaitu bencana alam berupa gempa bumi. Program yang akan kami lakukan dan judulnya dipilih karena kami, sebagai peserta KKL kelompok 4, akan memberikan edukasi dan pemahaman tentang tanggap dalam menghadapi bencana alam. Bencana alam tidak hanya terbatas pada gempa bumi, tetapi juga mencakup contoh lain seperti tsunami, longsor, letusan gunung, banjir, kebakaran, dan lain-lain.
Maka, kelompok 4 dari peserta KKL Stikosa-AWS akan menjalankan tugas yang melibatkan penerapan ilmu yang diperoleh di perguruan tinggi untuk mengajar atau mengaplikasikannya kepada masyarakat umum dalam konteks komunikasi. Hubungan antara komunikasi dan respons terhadap bencana adalah bahwa dengan memberikan pengetahuan tentang bencana, harapannya SLB Harapan Bunda dapat memberikan arahan kepada siswa dengan pemahaman yang telah diberikan. Selain itu, diharapkan masyarakat juga dapat memperoleh pemahaman melalui media sosial yang telah memuat konten edukatif tentang tanggap bencana. Pentingnya komunikasi efektif adalah bahwa hal tersebut menyebabkan pemahaman yang baik, sementara komunikasi yang buruk dapat menyebabkan ketidakpahaman.
Piroplasmosis Equina en Cobija: Implicaciones para el Manejo y la Prevención en Propiedades Ganaderas
Authors: Lima Jose Farid Maia , Nogales Carola Cecilia Sempertegui , Aragão Lis Silva
Published: February 2025

La Piroplasmosis equina es una enfermedad que afecta a los animales caballares, siendo transmitida por insectos vectores, generando anemias en los animales afectados. La presente investigación se realizó en propiedades rurales del municipio de Cobija, teniendo como objetivo determinar la prevalencia de Piroplasmosis equina, para lo cual fueron tomadas 175 muestras de sangre en tubos EDTA de 12 propiedades. Las muestras fueron analizadas en el laboratorio de la Facultad de Ciencias Biológicas y Naturales mediante el frotis sanguíneo y la tinción de Giemsa. Con los datos levantados y analizados estadísticamente, se pudo establecer la presencia de Piroplasmosis equina con una prevalencia de 4% del total de animales muestreados, siendo mayor en animales hembras mestizas, no existiendo diferencias en la prevalencia, según las edades de los animales estudiados, considerándose que esta prevalencia se dio a consecuencia de falta de manejo y cuidados, ya que los animales hembras son utilizadas solo para reproducción y no viven bajo un programa de protocolos de prevención y control del vector. Por lo tanto, la población en estudio obtuvo datos significativos e importantes debiéndose incrementar políticas de divulgación y capacitación a los propietarios rurales del municipio de Cobija, en manejo, prevención y cuidados de animales equinos.
Euterpe precatoria Mart: Una especie que fortalece el sistema inmunológico en la Amazonia Boliviana
Authors: Torrez Torrico Andrea Alejandra , Rodriguez Ignacio Eduardo F. de La Via , Romero Flora Magdaline Benitez
Published: February 2025

Euterpe precatoria Mart es una especie que fortalece el sistema inmunológico en la Amazonia Boliviana, su importancia resalta como alimento funcional para promover la salud y prevenir enfermedades crónicas. En la actualidad, existe una demanda significativa de alimentos que proporcionen beneficios sustanciales para la salud, pues fortalece el sistema inmunológico a través de la alimentación y otras actividades fisiológicas. En ese entendido el presente artículo de revisión describe los componentes nutricionales y funcionales de Euterpe precatoria Mart., que se cosecha y cultiva en el departamento de Pando, en la región amazónica de Bolivia. La fruta, conocida localmente como asaí nativo, es rica en macronutrientes como proteínas, carbohidratos y lípidos, además de vitaminas (E, B1, B2, C y A) y minerales (magnesio, cromo, cobre). Estos componentes cumplen funciones fisiológicas importantes para el cuerpo humano. También contiene ácidos grasos omega 6 y 9, que reducen el colesterol malo, mejoran la circulación sanguínea, e hidratan la piel. Además, su alta concentración de antocianinas, un tipo de antioxidante, neutraliza los radicales libres que dañan el sistema inmunológico. Las revisiones documentales destacan que ambas especies de Euterpe sp., son fundamentales para la alimentación humana, principalmente por su aporte de antioxidantes. Aunque se ha observado que Euterpe precatória Mart., contiene mayores cantidades de antioxidantes en comparación con Euterpe oleracea Engel., es esencial reconocer el valor nutricional de ambas. Esta revisión ressalta la importancia de apreciar ambas especies de asaí como superfrutas, contribuyendo significativamente a la mejora de la salud, la economía y la sostenibilidad en la región amazónica, sin desmerecer a ninguna de ellas.
The six-stage model of profitable growth and entrepreneurship in Finland: a Delphi study
Authors: Myllylä Yrjö , Kaivo-oja Jari
Published: February 2025

Our research has focused on addressing the following research questions for the growth strategies of SMEs: (1) What are the stages of profitable growth, and what factors contribute to these growth stages? (2) Which critical factors must be addressed for an organization to progress to the next stages of growth? (3) What is the importance of management in identifying and addressing critical growth factors? We have utilized the Delphi method and emphasized the role of company managers who have experienced profitable growth process as experts. Based on our findings, we have developed a Six-Stage Model of Profitable Growth (SSMPG), which we explain in detail in the article. The SSMPG model is compared to the prevailing Death Valley and Startup growth company development models. The article identifies the most crucial factors for the profitable growth of SMEs at different stages of growth within the SSMPG model. This model emphasizes sales, profitability, the individual characteristics of the entrepreneur, and leadership, in contrast to the debt-driven growth models emphasized in the other approaches. Further research could explore developing a start-up business culture using the new phasing model in Europe and elsewhere. In the future, it is important to consider profitability at both the company level and within clusters and regions.
Identifying Missing Quasars from the DESI Bright Galaxy Survey
Authors: Juneau S. , Canning R. , Alexander D. M. , Pucha R. , Fawcett V. A. , Myers A. D. , Moustakas J. , Ruiz-Macias O. , Cole S. , Pan Z. , Aguilar J. , Ahlen S. , Alam S. , Bailey S. , Brooks D. , Chaussidon E. , Circosta C. , Claybaugh T. , Davis T. M. , Dawson K. , de la Macorra A. , Dey Arjun , Doel P. , Fanning K. , Forero-Romero J. E. , Gaztañaga E. , Gontcho A Gontcho S. , Gutierrez G. , Hahn C. , Honscheid K. , Kehoe R. , Kisner T. , Kremin A. , Lambert A. , Landriau M. , Le Guillou L. , Manera M. , Martini P. , Meisner A. , Miquel R. , Muñoz-Gutiérrez A. , Nie J. , Palanque-Delabrouille N. , Percival W. J. , Poppett C. , Prada F. , Ravoux C. , Rezaie M. , Rossi G. , Sanchez E. , Schlafly E. F. , Schlegel D. , Schubnell M. , Seo H. , Silber J. , Siudek M. , Sprayberry D. , Tan T. , Tarlé G. , Yèche C. , Zhou Z. , Zou H.
Published: February 2025

The Dark Energy Spectroscopic Instrument (DESI) cosmology survey includes a Bright Galaxy Survey (BGS), which will yield spectra for over 10 million bright galaxies (r < 20.2 AB mag). The resulting sample will be valuable for both cosmological and astrophysical studies. However, the star/galaxy separation criterion implemented in the nominal BGS target selection algorithm excludes quasar host galaxies in addition to bona fide stars. While this excluded population is comparatively rare (∼3–4 per square degrees), it may hold interesting clues regarding galaxy and quasar physics. Therefore, we present a target selection strategy that was implemented to recover these missing active galactic nuclei (AGN) from the BGS sample. The design of the selection criteria was both motivated and confirmed using spectroscopy. The resulting BGS-AGN sample is uniformly distributed over the entire DESI footprint. According to DESI survey validation data, the sample comprises 93% quasi-stellar objects (QSOs), 3% narrow-line AGN or blazars with a galaxy contamination rate of 2%, and a stellar contamination rate of 2%. Peaking around redshift z = 0.5, the BGS-AGN sample is intermediary between quasars from the rest of the BGS and those from the DESI QSO sample in terms of redshifts and AGN luminosities. The stacked spectrum is nearly identical to that of the DESI QSO targets, confirming that the sample is dominated by quasars. We highlight interesting small populations reaching z > 2, which are either faint quasars with nearby projected companions or very bright quasars with strong absorption features including the Lyα forest, metal absorbers, and/or broad absorption lines.
Measuring the Intracluster Light Fraction with Machine Learning
Authors: Canepa Louisa , Brough Sarah , Lanusse Francois , Montes Mireia , Hatch Nina
Published: February 2025

The intracluster light (ICL) is an important tracer of a galaxy cluster’s history and past interactions. However, only small samples have been studied to date due to its very low surface brightness and the heavy manual involvement required for the majority of measurement algorithms. Upcoming large imaging surveys such as the Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST) are expected to vastly expand available samples of deep cluster images. However, to process this increased amount of data, we need faster, fully automated methods to streamline the measurement process. This paper presents a machine learning model designed to automatically measure the ICL fraction in large samples of images, with no manual preprocessing required. We train the fully supervised model on a training data set of 50,000 images with injected artificial ICL profiles. We then transfer its learning onto real data by fine-tuning with a sample of 101 real clusters with their ICL fraction measured manually using the surface brightness threshold method. With this process, the model is able to effectively learn the task and then adapt its learning to real cluster images. Our model can be directly applied to Hyper Suprime-Cam images, processing up to 500 images in a matter of seconds on a single GPU, or fine-tuned for other imaging surveys such as LSST, with the fine-tuning process taking just 3 minutes. The model could also be retrained to match other ICL measurement methods. Our model and the code for training it are made available on GitHub.
The AURORA Survey: A New Era of Emission-line Diagrams with JWST/NIRSpec
Authors: Shapley Alice E. , Sanders Ryan L. , Topping Michael W. , Reddy Naveen A. , Berg Danielle A. , Bouwens Rychard J. , Brammer Gabriel , Carnall Adam C. , Cullen Fergus , Davé Romeel , Dunlop James S. , Ellis Richard S. , Förster Schreiber N. M. , Furlanetto Steven R. , Glazebrook Karl , Illingworth Garth D. , Jones Tucker , Kriek Mariska , McLeod Derek J. , McLure Ross J. , Narayanan Desika , Oesch Pascal , Pahl Anthony J. , Pettini Max , Schaerer Daniel , Stark Daniel P. , Steidel Charles C. , Tang Mengtao , Clarke Leonardo , Donnan Callum T. , Kehoe Emily
Published: February 2025

We present results on the emission-line properties of z = 1.4–7.5 star-forming galaxies in the Assembly of Ultradeep Rest-optical Observations Revealing Astrophysics (AURORA) Cycle 1 JWST/NIRSpec program. Based on its depth, continuous wavelength coverage from 1 to 5 μm, and medium spectral resolution (R ∼ 1000), AURORA includes detections of a large suite of nebular emission lines spanning a broad range in rest-frame wavelength. We investigate the locations of AURORA galaxies in multiple different emission-line diagrams, including traditional BPT diagrams of [O iii]λ5007/Hβ versus [N ii]λ6583/Hα, [S ii]λλ6717, 6731/Hα, and [O i]λ6300/Hα, and the ionization–metallicity diagram of [O iii]λ5007/[O ii]λ3727 (O32) versus ([O iii]λ5007+[O ii]λ3727)/Hβ (R
23). We also consider a bluer rest-frame ionization–metallicity diagram introduced recently to characterize z > 10 galaxies, [Ne iii]λ3869/[O ii]λ3727 versus ([Ne iii]λ3869+[O ii]λ3727)/Hδ, as well as longer-wavelength diagnostic diagrams extending into the rest-frame near-IR: [O iii]λ5007/Hβ versus [S iii]λλ9069, 9532/[S ii]λλ6717, 6731 (S32), and He i
λ1.083 μm/Paγ and [S iii]λ9532/Paγ versus [Fe ii]λ1.257μm/Paβ. With a significant boost in signal-to-noise ratio and large, representative samples of individual galaxy detections, the AURORA emission-line diagrams presented here definitively confirm a physical picture in which chemically young, α-enhanced, massive stars photoionize the interstellar medium (ISM) in distant galaxies with a harder ionizing spectrum at fixed nebular metallicity than in their z ∼ 0 counterparts. We also uncover previously unseen evolution prior to z ∼ 2 in the [O iii]λ5007/Hβ versus [N ii]λ6583/Hα diagram, which motivates deep NIRSpec observations at even higher redshift. Finally, we present the first statistical sample of rest-frame near-IR emission-line diagnostics in star-forming galaxies at high redshift. In order to truly interpret rest-frame near-IR line ratios including [Fe ii]λ1.257 μm, we must obtain better constraints on dust depletion in the high-redshift ISM.
Radio Polarization from Runaway Star Bowshocks. I. The General Case
Authors: del Valle M. V. , Santos-Lima R. , Pohl M.
Published: February 2025

High velocity stars move through the interstellar medium with V > 30 km s−1. When the star has powerful winds, under the appropriate conditions, the interaction of the wind with the interstellar material produces a system of shocks. The outer shock, called the bowshock, perturbs the ambient medium, heating and compressing the gas. The dust in the compressed bowshock cools, producing infrared radiation. This emission appears as extended coma-shape structures. The discovery of radio nonthermal emission from two stellar bowshock nebulae indicates that these sources might be accelerating electrons up to relativistic energies. The produced nonthermal radio emission is most probably synchrotron, which has a high degree of polarization. In this work we model the synchrotron emission of runaway massive star bowshocks aiming to produce synthetic radio emission and polarization maps for two frequencies: 1.40 and 4.86 GHz. We model the interacting plasmas in a steady-state regime by means of magnetohydrodynamics simulations and we compute the injection and transport of the relativistic electrons in the diffusion approximation. We include in the model the most important depolarization effects. Our main conclusions are (i) the effects of Faraday rotation within the source are important at the lowest frequency considered, (ii) inferring the local magnetic field direction from polarization measurements only can be misleading, (iii) thermal radio emission produced by ionized plasma within the bowshock structure and surroundings can surpass the polarized one for the considered frequencies, and (iv) the contribution from the background electrons is minor.
Study of Hybrid Stars with Nonstrange Quark Matter Cores
Authors: Li Cheng-Ming , Zheng He-Rui , Zuo Shu-Yu , Zhao Ya-Peng , Wang Fei , Huang Yong-Feng
Published: February 2025

In this work, under the hypothesis that quark matter may not be strange, we adopt a modification of the coupling constant of the four-quark scalar interaction

G
→

G

1

+

G

2

〈

ψ

¯

ψ
〉

in the two-flavor Nambu–Jona–Lasinio (NJL) model to study nonstrange hybrid stars, where G
1 and G
2 are two parameters constrained by using the lattice quantum chromodynamics simulation results at the critical temperature and zero chemical potential. The Maxwell construction is used to describe the first-order confinement–deconfinement phase transition in hybrid stars. With recent measurements on neutron star mass, radius, and tidal deformability, the hybrid equations of state are constrained. It is found that pure nonstrange quark matter cores can exist in hybrid stars, possessing 0.026–0.04 M
⊙. The maximum hybrid star mass in the framework of the modified NJL model is about 0.1 M
⊙ lighter than that in the conventional two-flavor NJL model. It is argued that the binary neutron stars in GW170817 should be hadron stars.
Improving the Temporal Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using a Deep Generative Model
Authors: Li Jialiang , Yurchyshyn Vasyl , Wang Jason T. L. , Wang Haimin , Abduallah Yasser , Alobaid Khalid A. , Xu Chunhui , Chen Ruizhu , Xu Yan
Published: February 2025

We present a novel deep generative model, named GenMDI, to improve the temporal resolution of line-of-sight (LOS) magnetograms of solar active regions (ARs) collected by the Michelson Doppler Imager (MDI) on board the Solar and Heliospheric Observatory. Unlike previous studies that focus primarily on spatial super-resolution of MDI magnetograms, our approach can perform temporal super-resolution, which generates and inserts synthetic data between observed MDI magnetograms, thus providing finer temporal structure and enhanced details in the LOS data. The GenMDI model employs a conditional diffusion process, which synthesizes images by considering both preceding and subsequent magnetograms, ensuring that the generated images are not only of high quality but also temporally coherent with the surrounding data. Experimental results show that the GenMDI model performs better than the traditional linear interpolation method, especially in ARs with dynamic evolution in magnetic fields.
Galaxy Morphological Classification with Zernike Moments and Machine Learning Approaches
Authors: Ghaderi Hamed , Alipour Nasibe , Safari Hossein
Published: February 2025

Classifying galaxies is an essential step for studying their structures and dynamics. Using GalaxyZoo2 (GZ2) fractions thresholds, we collect 545 and 11,735 samples in nongalaxy and galaxy classes, respectively. We compute the Zernike moments (ZMs) for GZ2 images, extracting unique and independent characteristics of galaxies. The uniqueness due to the orthogonality and completeness of Zernike polynomials, reconstruction of the original images with minimum errors, invariances (rotation, translation, and scaling), different block structures, and discriminant decision boundaries of ZMs’ probability density functions for different order numbers indicate the capability of ZMs in describing galaxy features. We classify the GZ2 samples, first into the galaxies and nongalaxies and second, galaxies into spiral, elliptical, and odd objects (e.g., ring, lens, disturbed, irregular, merger, and dust lane). The two models include the support vector machine (SVM) and 1D convolutional neural network (1D-CNN), which use ZMs, compared with the other three classification models of 2D-CNN, ResNet50, and VGG16 that apply the features from original images. We find the true skill statistic (TSS) greater than 0.86 for the SVM and 1D-CNN with ZMs for the oversampled galaxy–nongalaxy classifier. The SVM with ZMs model has a high-performance classification for galaxy and nongalaxy data sets. We show that the SVM with ZMs, 1D-CNN with ZMs, and VGG16 with vision transformer are high-performance (accuracy larger than 0.90 and TSS greater than 0.86) models for classifying the galaxies into spiral, elliptical, and odd objects. We conclude that these machine learning algorithms are helpful tools for classifying galaxy images. The Python notebooks are available on GitHub at https://github.com/hmddev1/machine_learning_for_morphological_galaxy_classification.