bluuebunny/crossref_metadata_2025 huggingface dataset:
ASIAB Chatbot for Disaster Mitigation Learning at Madrasah Ibtidaiyah
Authors: Hikmawati Nisrina
Published: September 2024

Learning Disaster mitigation in schools is an essential concern of the government in forming a character of preparedness and resilience for students to face disasters. According to technological developments, adequate learning media is also important for independent learning. Therefore, this study aimed to develop disaster mitigation learning media for Madrasah Ibtidaiyah (Islamic Elementary School) students using AI chatbot technology. The Research and Development method with the ADDIE model was adopted, consisting of five stages, namely Analysis, Design, Development, Implementation, and Evaluation. The product was validated by media and material experts as excellent, with percentages of 98.3% and 93.95% respectively. Product validation was carried out using questionnaires, while assessments were based on several indicators, namely attractive, easy-to-understand, technical standards, and material suitability. Furthermore, practicality and effectiveness tests were conducted on teachers and students, with scores above 80%, suggesting very good usability. Practical and effective indicators were based on attractiveness, ease of use, increased motivation, and ease of assessment. In conclusion, The ASIAB chatbot was found to be highly suitable for learning by providing an innovative method to disaster mitigation education through the integration of AI chatbot technology. In addition, the ASIAB chatbot provided a validated and reliable tool that meets high standards of usability and educational effectiveness, as evidenced by high validation scores from both media and material experts. This technology also showed practicality and effectiveness in real classroom settings, thereby providing a scalable solution that can be implemented widely to enhance disaster preparedness education across Indonesian schools.
Decadal Monitoring of Upwelling Dynamics in Satonda Island Waters Using Landsat-8 and Machine Learning Regression
Authors: Efriana Anisya Feby , Manessa Masita Dwi Mandini , Ayu Farida , Damayanti Astrid , Haidar Muhammad , Setiawan Kuncoro Teguh
Published: September 2024

Global warming and associated weather changes, notably the El Niño Southern Oscillation (ENSO), significantly impact marine ecosystems by altering water quality parameters such as chlorophyll-a (Chl-a) and sea surface temperature (SST). These changes are crucial in understanding the biogeochemical and ecological dynamics of marine environments, especially in regions affected by upwelling. This study aims to monitor upwelling events on Satonda Island, a volcanic island with unique central lake and status as a protected area using remote sensing. Utilizing Landsat-8 imagery and machine learning regression techniques—Random Forest (RF), Support Vector Machine (SVM), and Classification and Regression Tree (CART)—this research evaluates the water quality in Satonda waters over a decade (2013– 2023). The RF method emerged as the most accurate in estimating Chl-a and SST, indicating its efficacy in monitoring marine ecosystems with the result (RMSE = 0.309 and 0.274). The analysis reveals seasonal upwelling patterns, characterized by decreased SST and increased Chl-a concentration, with peaks varying annually between June and November. This study highlights the crucial role of remote sensing and machine learning in monitoring the effects of climate change on marine biodiversity. It provides valuable insights into the temporal dynamics of upwelling in the shallow waters of Indonesia.
Representasi Ganbaru pada Anime The Wind Rises (2013)
Authors: Putri Gita Alya Hartono , Ridoewan Shalsa Dellia , Kresna Dhimas Wahyu Sri , Faadhila Salsabila Nur , Fairuzzahra Nabila Vina
Published: September 2024

Artikel ini berjudul "Representasi Ganbaru pada Anime The Wind Rises (2013)”. Tujuan dari penelitian ini adalah untuk mengetahui representasi konsep ganbaru yang terdapat pada tokoh Jiro Horikoshi pada anime The Wind Rises. The Wind Rises merupakan film animasi karya Studio Ghibli yang rilis pada tahun 2013 tentang perjuangan tokoh utamanya, Jiro Horikoshi, dalam mewujudkan keinginannya untuk membuat pesawat terbang. Ganbaru merupakan sebuah konsep rajin bekerja, pantang menyerah, dan ulet untuk memperoleh hasil yang baik tanpa dikalahkan oleh kesulitan yang diterapkan oleh orang Jepang dalam kehidupan sehari-hari. Penelitian ini menggunakan metode deskriptif kualitatif dengan analisis deskriptif. Data yang terdapat dalam penelitian ini diambil dari cuplikan adegan serta dialog antar tokoh pada film animasi tersebut. Hasil dari penelitian ini menunjukkan penggambaran konsep ganbaru yang diterapkan oleh tokoh Jiro Horikoshi melalui kerja kerasnya dalam meraih mimpinya untuk membuat pesawat.
Kontinuum dalam WEB NHK NEWS pada Bulan Mei 2024
Authors: Telsanggi Hazaqwa , Ainiyah Qurrotul , Muna Aufa , Eliazar Yuanito , Wiyatasari Reny
Published: September 2024

Linguistik adalah disiplin ilmu yang mendalami berbagai aspek bahasa, termasuk pembentukan, penggunaan, dan penuturan bahasa oleh penuturnya. Linguistik membantu kita dalam memahami mekanisme di balik terbentuknya bahasa, alasan penggunaannya, serta cara bahasa dituturkan dalam masyarakat. Penelitian ini menganalisis kata kontinuum yang muncul dalam artikel berita di situs NHK NEWS pada Mei 2024, dengan tujuan mengeksplorasi proses pembentukan dan analisis morfofonemik kata-kata tersebut. Menggunakan pendekatan kualitatif, delapan kata kontinuum dianalisis untuk mengungkap pembentukan morfem dan maknanya. Hasil menunjukkan bahwa kata kontinuum ini menggabungkan kango dan gairaigo, tanpa wago, yang secara efektif meringkas konsep kompleks menjadi istilah ringkas untuk komunikasi media. Analisis morfofonemik mengungkap adanya perubahan bunyi dan zero morfofonemik, mencerminkan efisiensi bahasa Jepang dalam merangkum konsep kompleks. Penelitian lebih lanjut disarankan untuk mengeksplorasi fleksibilitas bahasa Jepang dalam konteks lain.
Health Education Media to Increase Vegetable and Fruit Consumption in School-Aged Children
Authors: Widyana Lakshmi Puspita  , Khayan  , Suaebah  , Bagus Muhammad Ihsan  , Muhammad Ifham Hanif
Published: September 2024

Background: The lack of regulatory substances from fruits and vegetables is related to individual factors. Aims: The purpose of this study is to determine the effect of using educational media, lift-the-flap books, and leaflets on increasing knowledge, attitudes, parental support, and consumption of vegetables and fruit in elementary school children. Methods: This type of research was a quasi-experiment with a pre-and post-design approach to see the causal relationship between before and after counseling intervention with lift-the-flap book and leaflet media on increasing knowledge, attitudes, parental support, and consumption of vegetables and fruits in school-age children. Measuring knowledge scores, attitudes, and parental support was done using a Likert scale, and vegetable and fruit consumption using a 2x24-hour recall. Statistical analysis was conducted using the Test correlation test with a 95% confidence level (α = 5%). Results: Based on the research, it can be seen that using the lift-the-flap books and leaflet media can increase knowledge, attitudes, parental support, and consumption of vegetables and fruit compared to before using the media in elementary school children Pontianak. Conclusion: Lift-the-flap books are more effective in increasing knowledge, attitudes, parental support, and consumption of vegetables and fruits than leaflets.
Socio-Cultural Study of Nutrition in Families of Stunted Toddlers in Coastal Communities in Jember Regency
Authors: Nafikadini Iken , Leersia Yusi  , Globila Nurika
Published: September 2024

Background: Cultures, traditions, or habits that exist in society, such as dietary restrictions and wrong eating patterns, can lead to increased nutritional problems, especially in toddlers, which ultimately impacts their growth and development. Low-income family parenting patterns in feeding and primary health care for toddlers can also increase the incidence of stunting in toddlers. This could be the cause of the stunting rate in the Jember Regency, especially in coastal areas. Dietary problems, including stunting, in coastal areas should be less likely to occur because the availability of high-protein animal foods such as fish is quite high, but Curahnongko Village is included in the stunting locus area in Jember Regency. Aims: This research aims to describe the socio-cultural nutrition and parenting styles of toddlers in Curahnongko Village. Methods: The study used qualitative and research methods with a case study approach. Results: The socio-culture during pregnancy in the coastal communities of Jember Regency regarding TTD consumption, routine check-ups, taboos during pregnancy, and visits to midwives are quite good. Socio-culturally during the breastfeeding period, it can be concluded that all informants carried out Early Breastfeeding Initiation (IMD). Socio-culturally during the feeding period for toddlers, all informants do not give food other than breast milk to babies when they are born. Conclusion: The socio-cultural aspect that appears to influence the occurrence of stunting is during the feeding period for toddlers, namely the frequency of children's snack consumption outside the home.
Identification of Symbols in Indonesian Traditional Fairy Tales as a Health Promotion for the Prevention of Non-Communicable Diseases Diabetes Mellitus and Hypertension
Authors: Purnamayanti Chelomitha Malindra , Ramadhania Farhaiza , Siahaan Rahelia Demak , Pertiwi Rina , Yulianti Yunika Tri , Sebayang Susy Katikana
Published: September 2024

Background: Non-communicable diseases are one of the groups of diseases with the highest causes of death in the world. This was shown by data from WHO that in 2023, around 74 percent of the causes of death in the world are non-communicable diseases that kill 41 million people per year. This is due to the lack of public understanding of the influence of risk factors for non-communicable diseases on the incidence of non-communicable diseases and complications that can be caused by non-communicable diseases. Therefore, the use of traditional Indonesian fairy tale symbols in health promotion media to prevent non-communicable diseases can be used as an alternative solution to overcoming this challenge. Aims: This study aims to identify, examine, and synthesize symbols in traditional Indonesian fairy tales that have the potential to they can be developed to improve health messages to prevent noncommunicable diseases, especially diabetes mellitus and hypertension. Method: The method used in this study was a Literature Review with a narrative review study design. The steps taken are to gather all the fairy tales with inclusion criteria are fairy tales that have symbols about non-communicable diseases and exclusion criteria are incomplete fairy tales, and then do the screening, identifying symbols, analyzing symbols, and selecting potential symbols. Results: Of the 21 relevant titles of Indonesian traditional fairy tales and legends, 85 symbols were identified. From the analysis of the meaning of each symbol, 16 symbols were found that have the potential to be used as promotions for the prevention of non-communicable diseases, diabetes mellitus, and hypertension, with 10 different symbol categories spread across 7 provinces in Indonesia. Conclusion: There are many symbols from traditional Indonesian fairy tales that have the potential to they can be used to increase the effectiveness of delivering health messages as an effort to promote the prevention of non-communicable diseases diabetes mellitus and hypertension. These symbols can be made into health messages nationally and can be flexibly used to create health messages in each region.
Cidadania global: uma perspectiva a partir da cidadania europeia
Authors: Regina de Oliveira Magalhães da Silva Loureiro Claudia
Published: September 2024

A necessidade de ressignificação do instituto jurídico da cidadania global motivou o estudo, que tem o objetivo geral de analisar a intrínseca relação entre dignidade humana e direitos humanos, com a finalidade de especificar como a dignidade humana, presente nos documentos constitutivos da União Europeia, contribuiu para a consolidação da cidadania europeia que, por sua vez, pode ser usada como modelo para a sistematização da cidadania global. Com ênfase no método dedutivo, com a adoção da técnica documental indireta e do procedimento de revisão bibliográfica e legislativa, o artigo buscará refletir sobre a necessidade de criação de instituições globais, que promovam o exercício da cidadania global, de acordo com os ideais dos direitos humanos, partindo-se da análise da situação dos imigrantes e dos apátridas. O artigo buscará responder se a cidadania europeia pode ser o fundamento para a concretização dos direitos humanos dos imigrantes e dos apátridas como cidadãos globais.
Deprem Sonrasında Enkaz Altında Kalan Hastalarda Gelişen Ogilvie Sendromu
Authors: Erdoğrul Güven , Diner Güvenç , Sayar Samed , Aslan Sinan , Sevim Sezgin
Published: September 2024

Ogilvie sendromu organik bir neden olmaksızın kolonun psödoobtrüksiyonu olarak tanımlanan nadir görülen ve tedavi edilmediğinde kolonda iskemi ve perforasyona neden olabilen bir hastalıktır. Bu çalışmada 6 Şubat 2023 tarihinde meydana gelen Kahramanmaraş merkez üssü olan deprem sonrası enkaz altından kurtarılıp hastanemize sevk edilen ve Ogilvie sendromu tanısı konulan hastaların tanı, tedavi ve takip sonuçları değerlendirildi. Deprem bölgesinden Mersin Şehir Eğitim ve Araştırma Hastanesine sevk edilen ve takiplerinde Ogilvie sendromu tanısı konulan 23 hasta retropektif olarak incelendi. Hastalar yaş, cinsiyet, tanı yöntemi, tanı sırasında tam kan sayımı, karaciğer fonksiyon testleri, böbrek fonksiyon testleri, elektrolit düzeyleri, eş zamanlı ek patolojiler, takip süreci ve tedavileri incelendi. Ogilvie sendromu tanısı konulan 23 hastanın 21 tanesi konservatif olarak tedavi edildi. 2 hasta opere edildi. 23 hastanın 12 (%52,17)’si erkek, 11 (%47,83)’i kadındı. Hastaların tanı konulduğunda lökosit ortalaması 14,11 ± 5,41 olup normal değerin üstünde idi. İyonize kalsiyum değeri ortalaması 0,95 ± 0,14 mmol/L olarak tespit edildi ve normal değerin altında idi. Deprem gibi multitravmaya sebep olacak felaketlerde gelişecek fraktürler yanında enkaz altında immobil kalması ve hipotermi maruziyeti Ogilvie sendromu gelişimini kolaylaştırmaktadır. Erken tanı ile konservatif tedavi başarı oranı yüksektir.
Artificial intelligence as an adjunctive tool in hand and wrist surgery: a review
Authors: Dababneh Said , Colivas Justine , Dababneh Nadine , Efanov Johnny Ionut
Published: September 2024

Artificial intelligence (AI) is currently utilized across numerous medical disciplines. Nevertheless, despite its promising advancements, AI’s integration in hand surgery remains in its early stages and has not yet been widely implemented, necessitating continued research to validate its efficacy and ensure its safety. Therefore, this review aims to provide an overview of the utilization of AI in hand surgery, emphasizing its current application in clinical practice, along with its potential benefits and associated challenges. A comprehensive literature search was conducted across PubMed, Embase, Medline, and Cochrane libraries, adhering to the Preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. The search focused on identifying articles related to the application of AI in hand surgery, utilizing multiple relevant keywords. Each identified article was assessed based on its title, abstract, and full text. The primary search identified 1,228 articles; after the application of inclusion/exclusion criteria and manual bibliography search of included articles, a total of 98 articles were covered in this review. AI’s primary application in hand and wrist surgery is diagnostic, which includes hand and wrist fracture detection, carpal tunnel syndrome (CTS), avascular necrosis (AVN), and osteoporosis screening. Other applications include residents’ training, patient-doctor communication, surgical assistance, and outcome prediction. Consequently, AI is a very promising tool that has numerous applications in hand and wrist surgery, though further research is necessary to fully integrate it into clinical practice.
Foliar applications of phenylalanine and prohexadione calcium for managing tannin content in cold-hardy hybrid grape cultivars
Authors: Gapinski Alexander D. , Slack Suzanne M. , Watrelot Aude A.
Published: September 2024

Cold-hardy hybrid grape cultivars have low tannin content compared to Vitis vinifera cultivars, which leads to unbalanced red wines and therefore low-quality wines. Viticultural practices, such as nitrogen fertilisation and the use of plant growth regulators, have shown to be effective interventions to modify tannin content in V. vinifera cultivars and may be effective with cold-hardy hybrids. Foliar applications of phenylalanine (Phe, 100 mg/L) and prohexadione calcium (ProCa, 50 mg/L) were applied separately and in combination (ProCa+Phe) to Marquette grapevines grown in Iowa, USA in 2022 and 2023. Treatments were assigned following a split-plot design. Berry weight, diameter, seeds per berry, tannin content, and iron-reactive phenolics content of skins and seeds were analysed at five phenological time points. Samples from treated vines were compared to untreated control samples using a random-intercepts linear regression model. Overall, the effect of year was more impactful than the individual effects of treatments due to differences in temperature and rainfall during berry development. However, skin and seed tannin and IRP were significantly affected by the Year2023:ProCa interaction at 3 weeks post fruit set and véraison, respectively, suggesting ProCa treatment may be more effective with multiple applications in consecutive years. Low application rate may be a reason for limited treatment effectiveness and further work on dose response may demonstrate foliar sprays of Phe and ProCa to be effective tools at managing phenolics content in Marquette grapes.
RESPON MORFO-FISIOLOGI TANAMAN BAWANG MERAH PADA VARIASI KEDALAMAN PARIT, DOSIS PUPUK ORGANIK DAN FREKUENSI PENYIRAMAN
Authors: Nur Subandi , Saparso Saparso , Susanto Niken Hapsari Arimurti
Published: September 2024

Teknik budidaya bawang merah yang umum dilakukan oleh petani di Kabupaten Brebes dan sekitarnya antara lain dalam pembuatan parit antar bedengan dengan lebar parit 50 cm. dan kedalaman parit 60 – 70 cm. Dengan kedalaman parit 60 – 70 cm., maka petani harus mengeluarkan biaya pengolahan tanah yang relatif besar dan membutuhkan waktu yang relatif lebih lama. Salah satu cara untuk memperbaiki kualitas tanah adalah dengan pupuk organik, sehingga dapat menyebabkan tanaman tumbuh dengan baik. Tujuan penelitian yang akan dicapai adalah : Mengetahui respon morfo-fisiologi tanaman bawang merah pada perlakuan variasi kedalaman parit, dosis pupuk organik dan frekuensi penyiraman serta mengetahui adanya interaksi antara variasi kedalaman parit dan frekuensi penyiraman yang diujikan dilihat dari variabel pertumbuhan dan hasil bawang merah. Penelitian dilakukan di Desa Pulosari Kecamatan Brebes Kabupaten Brebes selama tiga bulan (April sampai dengan Juni 2020). Penelitian dilakukan dengan menggunakan Rancangan Petak Terbagi (Split Split Plot Dsign) dengan rancangan dasar RAKL dan diulang 3 (tiga) kali. Faktor yang dicoba adalah : 1. Petak Utama : Kedalaman Parit (P) : P1 = 30 cm., P2 =50 cm. dan P3 = 70 cm. 2. Anak Petak : Pupuk Organik (O) : O1= 0 ton/ha, O2 = 17,5 ton/ha dan O3 = 35 ton/ha. Anak-anak Petak : Frekuensi Penyiraman (F) : F1 : 1 kali sehari dan F2 : 2 kali sehari.   Data yang diperoleh dianalisa dengan menggunakan analisis sidik ragam pada taraf kesalahan 5 %, apabila terjadi perbedaan nyata dilanjutkan dengan Uji Beda Nyata Terkecil (BNT) taraf 5 %. Hasil penelitian menunjukkan : Kadar lengas tanah tertinggi pada interaksi perlakuan kedalaman parit 70 cm, pupuk organik 35 ton/ha dan frekuensi penyiraman dua kali sehari (P3O3F2) (38,55 mm.10 cm-1).         Kata Kunci: Bawang merah, Kedalaman parit, Pupuk organik, Frekuensi penyiraman, morfo-fisiologi.
APLIKASI PUPUK KALIUM CAIR PLUS UNTUK MENINGKATKAN KUALITAS BAWANG MERAH DI ADIPALA, CILACAP
Authors: Syarifah Kharirotus , Faozi Khavid , Rostaman Rostaman , Saparso Saparso
Published: September 2024

One of the important factors influencing crop production is nutrition, which depends on soil fertility and fertilizer application. Nutrition will affect the weight loss of shallots. Shallots can loss weight loss of 25-40% during drying and 17% during storage. One of the nutrients that affect weight loss is potassium. Potassium is an element that plays an important role for plants in the process of photosynthesis, energy storage, protein synthesis, translocation of photosynthetic products. Potassium also plays a role in protecting the osmotic potential of plants in regulating the closing and opening of stomata so that plants can maintain water conditions which will have a good impact on photosynthesis and the flow of assimilate from leaves to plant parts. This study aimed to determine the effect of liquid potassium fertilizer plus application on the quality of shallots. The research was conducted in Adipala, Cilacap which has a height of 10 m above sea level and a temperature ranging from 23-30o C. The land area used is 50 m2. The study was conducted from June 2021 to September 2021. This study used a non-factorial randomized block design with four treatments, namely (1) 0 ml/plot, (2) 1 ml/plot, (3) 1.5 ml/plot, and (4) 2 ml/plot with ten replications. Data were analised using Anova and than follow DMRT at error 0,5%. The variables observed were: plant height, number of leaves, number of bulb, total fresh weight, total dry weight of askip, bulb diameter, bulb hardness and crop yield/plot. The results showed that the application of liquid potassium fertilizer plus had no significant effect on plant height, number of leaves, number of bulb, total fresh weight, total dry weight of askip, blub diameter, and crop yield/plot, but significantly affected the hardness of shallot bulbs.
PROSPEK PENGEMBANGAN USAHA JAHE MERAH PADA LAHAN KERING DI KABUPATEN SUMENEP
Authors: Fatmawati Ika
Published: September 2024

Jahe merah termasuk ke dalam jenis tanaman jahe yang mempunyai banyak keunggulan dibandingkan jahe gajah dan jahe emprit.  Kandungan jahe merah berupa zat gungerol, oleoresin dan minyak atsiri yang tinggi menyebabkan jahe merah lebih banyak digunakan sebagai bahan baku obat-obatan. Kabupaten Sumenep merupakan salah satu daerah yang mempunyai potensi untuk pengembangan jahe merah dilihat dari sumber daya alam yang ada.  Selama ini jahe yang banyak dibudidayakan masyarakat Kabupaten Sumenep adalah jahe gajah dan jahe meprit.  Desa Manding Laok memiliki potensi sektor pertanian tetapi potensi ini belum diberdayakan secara optimal karena usahatani yang ada masih  pada pertanian tanaman pangan padi dan jagung serta masih banyak lahan kering yang tidak dimanfaatkan.  Tujuan penelitian ini adalah (1) untuk mengkaji prospek dan potensi pengembangan usaha jahe merah pada lahan kering dan (2) untuk menganalisis kelayakan secara finansial usaha jahe merah pada lahan kering di Kabupaten Sumenep.  Lokasi dalam penelitian ini ditentukan secara sengaja (purposive) di Desa Manding Laok Kecamatan Manding.  Sumber data yang digunakan adalah data primer dan data sekunder.  Metode analisa yang digunakan adalah analisis deskriptif dan analisis efisiensi secara finansial.  Untuk mengetahui potensi usaha jahe merah dilihat dari dua hal yaitu analisis potensi sumber daya dan pasar. Pengakajian prospek dalam penelitian ini menggunakan data primer yang diperoleh melalui in depth interview dengan informan. Hasil penelitian menunjukkan jahe merah memiliki potensi untuk dikembangkan dengan potensi luas areal, produksi, kondisi dan iklim yang mendukung untuk budidaya jahe merah, selain itu memiliki potensi pasar yang ditunjukkan oleh permintaan yang tercukupi, penjualan dan harga jual yang dapat meningkatkan pendapatan petani serta kondisi pasar yang mendukung.  Budidaya jahe merah di Desa Manding Kabupaten Sumenep memiliki potensi untuk diusahakan
Modelling Exchange Rates and PMS Prices Impact on Inflation in Nigeria (1985-2020): A Regression Analysis
Authors: Gwani Alhaji Abdullahi , Farouk Abbas Umar , Mukhtar  , Sek Siok Kun
Published: September 2024

On the rise in Premium Motor Spirit (PMS) prices and cash rates, a conventional least squares analysis was used to determine the relationship between the respondent variable, inflation, and the explanatory variables, PMS price and exchange rate. According to the results, as evidenced by the conventional least squares regression, the PMS price and money rate were significant drivers of inflation, accounting for about 88% of the fluctuation in inflation. Additionally, the Breusch-agnostic test revealed that the residuals of the direct regression model were not heteroscedastic, and the ACF and PACF tests revealed that the error terms did not have autocorrelation. The Jarque-Bera ordinariness test was used to express the perceived background noise as normal. As demonstrated by the findings, the increase in the price of PMS and the decline in the value of the Naira influenced Nigerian inflation. Finally, based on the research econometric outcomes and interpretations, the study discussed the policy implications of these findings and offered recommendations. For future work, research should be conducted on energy transition and efficiency.
Quantum Security of A Compact Multi-Signature
Authors: Jiang Shaoquan
Published: September 2024

With the rapid advance in quantum computing, quantum security is now an indispensable property for any cryptographic system. In this paper, we study how to prove the security of a complex cryptographic system in the quantum random oracle model. We first give a variant of Zhandry’s compressed quantum random oracle (CStO), called compressed quantum random oracle with adaptive special points (CStOs). Then, we extend the on-line extraction technique of Don et al (EUROCRYPT’22) from CStO to CStOs. We also extend the random experiment technique of Liu and Zhandry (CRYPTO’19) for extracting the CStO query that witnesses the future adversarial output. With these preparations, a systematic security proof in the quantum random oracle model can start with a random CStO experiment (that extracts the witness for the future adversarial output) and then convert this game to one involving CStOs. Next, the on-line extraction technique for CStOs can be applied to extract the witness for any on-line commitment. With this strategy, we give a security proof of our recent compact multi-signature framework that is converted from any weakly secure linear ID scheme. We also prove the quantum security of our recent lattice realization of this linear ID scheme, by iteratively applying the weakly collapsing protocol technique of Liu and Zhandry (CRYPTO 2019). Combining these two results, we obtain the first quantum security proof for a compact multi-signature.
Adaptive Control of Retrieval-Augmented Generation for LLMs Through Reflective Tags
Authors: Yang Chengyuan , Fujita Satoshi
Published: September 2024

While Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs), it also presents challenges that can affect model accuracy and performance. Practical applications show that RAG can mask the intrinsic capabilities of LLMs. Firstly, LLMs may become overly dependent on external retrieval, underutilizing their own knowledge and inference abilities, which can reduce responsiveness. Secondly, RAG techniques might introduce irrelevant or low-quality information, adding noise to the LLM. This can disrupt the normal generation process, leading to inefficient and low-quality content, especially when dealing with complex problems. This paper proposes a RAG framework that uses reflective tags to control retrieval. This framework evaluates retrieved documents in parallel and incorporates the Chain of Thought (CoT) technique for step-by-step content generation. The model selects the highest quality and most accurate content for final generation. The main contributions include: 1) Reducing the hallucination problem by selectively utilizing high-scoring document, 2) Enhancing real-time performance through timely external database retrieval, and 3) Minimizing negative impacts by filtering out irrelevant or unreliable information through parallel content generation and reflective tagging. These advancements aim to optimize the integration of retrieval mechanisms with LLMs, ensuring high-quality and reliable outputs.
Design and Implementation of an Ultra-Wideband Water Immersion Antenna for Underwater Ultrasonic Sensing in Microwave Induced Thermoacoustic Tomography
Authors: Tan Feifei , Wang Haishi
Published: September 2024

Microwave-induced thermoacoustic tomography (MITAT) holds significant promise in biomedical applications. It creates images using ultrasonic sensors to detect thermoacoustic signals induced by microwaves. The key to generating thermoacoustic signals that accurately reflect the fact is to achieve sufficient and uniform microwave power absorption of the testing target, which is closely tied to the microwave illumination provided by the antenna. In this article, we introduce a novel design and implementation of an ultra-wideband water immersion antenna for an MITAT system. We analyze and compare the advantages of selecting water as the background medium. Simulations are conducted to analyze the ultra-wideband characteristics in impedance matching, axial ratio, and radiation pattern of the proposed antenna. The measured |S11| shows good agreement with the simulated results. We also simulate the microwave power absorption of tumor and brain tissue, and the uniform microwave power absorption and high contrast between the tumor and brain indicate the excellent performance of the proposed antenna in the MITAT system.
SILAC-Based Characterization of Plasma-Derived Extracellular Vesicles in Patients Undergoing Partial Hepatectomy
Authors: Resch Ulrike , Hackl Hubert , Pereyra David , Santol Jonas , Brunnthaler Laura , Probst Joel , Jankoschek Anna Sofie , Aiad Monika , Nolte Hendrik , Krueger Marcus , Starlinger Patrick , Assinger Alice
Published: September 2024

Rationale: Post-hepatectomy liver failure (PHLF) remains a significant risk for patients undergoing partial hepatectomy (PHx). Reliable prognostic markers and treatments to enhance liver regeneration are lacking. Plasma nanoparticles, including lipoproteins, exosomes, and extracellular vesicles (EVs), can reflect systemic and tissue-wide proteostasis and stress, potentially aiding liver regeneration. However, their role in PHLF is still unknow.
Methods: Our study included 9 patients with hepatocellular carcinoma (HCC) undergoing PHx: 3 patients with PHLF, 3 patients undergoing the Associating Liver Partition and Portal vein Ligation for Staged hepatectomy (ALPPS) procedure and three matched controls without complications after PHx. Patient plasma was collected before (PRE), 1 and 5 days (POD1, POD5) after PHx. EVs were isolated by ultracentrifugation and extracted proteins subjected to quantitative mass spectrometry using a super-SILAC mix prepared from primary and cancer cell-lines.
Results: We identified 2625 and quantified 2570 proteins in EVs in PHx patients. Among these, 53 proteins were significantly upregulated and 32 were downregulated in patients with PHLF compared to those without PHLF. Furthermore, 110 proteins were upregulated and 78 were downregulated in PHLF compared to patients undergoing ALPPS. The EV-proteomic signature in PHLF indicates significant disruptions in protein translation, proteostasis, intracellular vesicle biogenesis, as well as alterations in proteins involved in extracellular matrix (ECM) remodeling, metabolic and cell cycle pathways, present already before PHx.
Conclusion: Longitudinal proteomic analysis of EV´s circulating in human patient plasma undergoing PHx uncovers proteomic signatures associated with PHLF which reflect dying hepatocytes and endothelial cells and are present before PHx already. Our results support EVs as potential biomarkers and therapeutic targets for liver regeneration and failure.
Antioxidant Activity and Total Phenolic Content of Underutilized Edible Tree Species of the Philippines
Authors: Rondevaldova Johana , Tauchen Jan , Mascellani Anna , Tulkova Jana , Magdalita Pablito M. , Tulin Edgardo E. , Kokoska Ladislav
Published: September 2024

Recently, neglected and underutilized species (NUS) have deservedly come to the forefront of scientific interest because they can contribute to the human nutrition, due to the content of bio-active substances such as antioxidants. Despite the great diversity and rich tradition in use of Philippine NUS, the nutritional properties of many edible plants remain unexplored. The main objective of this study was to evaluate various parts of eleven NUS fruits and vegetables traditionally consumed in the Philippines, namely Allaeanthus luzonicus, Canarium ovatum, Dillenia philippinensis, Ficus pseudopalma, Flacourtia indica, Flacourtia inermis, Garcinia intermedia, Heliotropium arboreum, Posoqueria latifolia, Stelechocarpus burahol and Sterculia quadrifida for their total phenolic content (TPC) and in vitro antioxidant activity (DPPH and ORAC assays). The strongest antioxidant activity obtained in both assays were inflorescence of A. luzonicus (DPPH IC50 = 91.0 μg/mL, ORAC IC50 = 37.9 μg/mL) and fruit of S. burahol (DPPH IC50 = 253.7 μg/mL, ORAC IC50 = 32.2 μg/mL). These two species also had the highest TPC (202.1 and 133.0 µg GAE/mg extract, respectively). For all samples tested, the strong correlation was found between TPC and antioxidant activity. Based on our results, A. luzonicus and S. burahol have a promising potential as novel antioxidant rich food.
A Powerful Approach to improve Link Prediction Accuracy in Directed Social Networks based on Ensemble Learning Models and Advanced Feature Extraction Techniques
Authors: Khan Sheroz , Badiy Mohamed , Amounas Fatima , Azrour Mourade , Alnajim Abdullah , Abdulatif Abdulatif
Published: September 2024

Link prediction is a significant field in network science, which focuses on predicting the probability of the existence or formation of a link between nodes in a social network based on currently observed connections. The effectiveness of traditional algorithms can vary depending on the type of network, making some methods more suitable than others for specific scenarios. Recently, several efficient link prediction algorithms have been developed, demonstrating robust results in both prediction accuracy and interpretability. However, existing research has not clearly established the relationship between network characteristics and link creation mechanisms for community influence analysis and anomaly detection. The ability to predict complex networks with diverse features still requires further investigation. In light of this, we introduce a novel framework designed to combine the best features of different link prediction algorithms when applied to the network, with the aim of achieving more reliable predictions about how networks will evolve. According to the proposed framework, we first focus on the feature extraction stage. During this phase, we systematically identify and extract a comprehensive set of features from the network before moving onto the classification phase. Here, we utilize state-of-the-art ensemble learning models to assess and classify potential links within the network. By training our machine learning models on the extracted features, we can effectively predict whether a particular link is likely to form (positive link) or unlikely to form (negative link). The ML models were trained and evaluated using two datasets: Twitch and Facebook. Results: Additionally, we assessed their performance on these datasets by conducting specific preprocessing and hyperparameter tuning steps. The final prediction model achieves AUC values between 94% and 99.3%. This research contributes significantly to efforts aimed at enhancing link prediction in dynamic socisal network contexts, providing valuable insights into the effectiveness of different ML algorithms in predicting future connections and enhancing our understanding of network dynamics.
In Silico and In Vivo Evaluation of Novel 2-Aminobenzothiazole Derivative Compounds as Antidiabetic Agents
Authors: Alvarado Salazar Juan Andres , Valdes Miguel , Cruz Alejandro , Moreno De Jesús Brenda , Patiño González David , Olivares-Corichi Ivonne María , Tamay Cach Feliciano , Mendieta Wejebe Jessica Elena
Published: September 2024

Currently, there are several drugs used for the treatment of type 2 diabetes (T2D), however, all of them have adverse effects. Benzothiazoles have a broad spectrum of biological activities such as antidiabetic. This study aimed to evaluate in silico and in vivo two series of 2-aminobenzothiazole derivatives linked to isothioureas (3a-w) or guanidines (4a-z) for the treatment of T2D. The ADMET properties were determined in silico from which it was possible to select compounds 3a, 3b, 4a, 4b, 4c, 4r, 4s, 4x, and 4y and, with molecular docking, it was shown that 3b and 4y showed high affinity for PPAR gamma (ΔG = -7.8 and -8.4 kcal/mol, respectively). In vivo, the LD50 value was estimated in rat based on OECD Guideline 425, being > 1750 mg/kg for both compounds. The pharmaco-logical effect of 3b and 4y was evaluated in the T2D rat model, showing that after oral admin-istration in equimolar ratio to pioglitazone (15 mg/kg) for 4 weeks, both compounds were able to reduce blood glucose levels (< 200 mg/dL) and improve the lipid profile. Therefore, 3b and 4y could be used in the future as antidiabetic agents.
Gumbel–Logistic Unit Distribution with Application in Telecommunications Data Modeling
Authors: Stojanović Vladica S. , Jovanović Mihailo , Pažun Brankica , Langović Zlatko
Published: September 2024

The manuscript deals with a new two-parameter unit stochastic distribution, obtained by transforming the Gumbel distribution, using generalized logistic mapping, into a unit interval. The distribution thus obtained is called the Gumbel–Logistic Unit (abbr. GLU) distribution, and its key stochastic properties have been investigated in detail. Among others, it is shown that the GLU distribution, unlike the Gumbel one which is always positively asymmetric, can take both asymmetric forms. Also, the procedure for estimating parameters based on quantiles, along with the asymptotic properties of the obtained estimators and the study of their numerical simulation, is presented. Finally, the application of the GLU distribution in modeling some real–world data related to telecommunications is considered.
Phytochemical Analysis, Antimicrobial, Antibiofilm and Antioxidant Effects of a New Arctic Lichen Placidium Doesaiense Growing in Pakistan
Authors: Manojlović Anja , Khalid Abdul Nasir , Usman Muhammad , Stefanović Olgica , Đukić Nevena , Manojlović Nedeljko , Tomović Jovica
Published: September 2024

Lichenochemical composition and antimicrobial, antibiofilm and antioxidant effects of a newly described arctic lichen Placidium doesaiense growing in Pakistan were investigated. HPLC–DAD methods were used for identification of secondary metabolites in acetone and methanol extracts. The total polyphenol and the total flavonoid content was determined spectrophotometrically. The study examined the antioxidant (DPPH scavenging activity and reducing power), antibacterial (minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC)) and antibiofilm (inhibition of biofilm formation and reduction of mature biofilm) activities of extracts of the lichen P. doesaiense and isolated parietin. The chemical constituents olivetol, olivetolic acid, haematommic acid, fallacinol and parietin, were identified as major compounds in the tested extracts of the lichen. Parietin was isolated from the acetone extract on a separation column. The methanol extract had higher values of TPC (21.67 mg GA/g) and TFC (377.40 mg RE/g) than the acetone extract. Although the extracts showed the best antibacterial activity (especially against Proteus mirabilis ATCC 12453), parietin demonstrated superior antibiofilm activity (especially against Staphylococcus aureus ATCC 25923). Isolated parietin showed the best antioxidant activity measures according to DPPH scavenging activity (IC50= 51.616 μg/mL) and reducing power. This is the first report on the phytochemical composition of the lichen Placidium doesaiense and the first description of the chemical composition of some of the 28 species of the genus Placidia. This research will pave the way for further exploration of new activities of this lichen and its metabolites, which are important for medicine and pharmacy.
Nature of Charge Transfer Effects in Complexes of Dopamine Derivatives Adsorbed on Graphene-Type Nanostructures
Authors: Farcas Alex-Adrian , Bende Attila
Published: September 2024

Continuing the investigation already started (See Farcaş, A.-A.; Bende, A. PCCP 2024, 26, 14937), the light absorption and charge-transfer properties of the dopamine (DA), dopamine zwitterion (called as dopamine-semi-quinone or DsQ) and dopamine-o-quinone (DoQ) adsorbed on the graphene nanoparticle surface have been investigated using the ground state and linear-response time-dependent density functional theories, considering the B97X-D3BJ/def2-TZVPP level of theory. In terms of the strength of molecular adsorption on the surface, the DsQ form has 50 % higher binding energy than that for the DA or DoQ cases (-20.24 kcal/mol vs. -30.41 kcal/mol). The results obtained for electronically excited states and UV-Vis absorption spectra show that the photochemical behavior of DsQ is more similar to DA than that observed for DoQ. Of the three systems analyzed, the DsQ-based complex showed the most active CT phenomenon, both in terms of the number of CT-like states and the amount of charge transferred. Of the first thirty electronically excited states computed for the DsQ case, eleven are purely CT-type and nine are mixed CT and localized (or Frenkel) excitations. By varying the adsorption distance between the molecule and the surface vertically, the amount of charge transfer obtained for DA decreases significantly as the distance increases, for DoQ it remains stable, while for DsQ there are states for which little change is observed, while for others there is a significant change. Furthermore, the mechanistic compilation of the electron orbital diagrams of the individual components cannot describe in detail the nature of the excitations inside the complex.
Redefining Priorities: Framework for Identifying and Mapping Critical Human Problems
Authors: Hipolito Ines , Khanduja Aishwarya
Published: September 2024

This paper addresses the historically biased selection of problems in technoscience, which has been predominantly shaped by Western male perspectives. We propose a novel framework with objective criteria for identifying and prioritizing human problems worthy of scientific and technological attention. Our approach aims to transcend traditional biases, incorporating a more inclusive, global perspective. We outline metrics considering factors such as scale, urgency, potential impact, and relevance across diverse populations. Using these criteria, we identify key global challenges including climate change, pandemic preparedness, food and water security, education access, sustainable energy transition, AI governance, biodiversity conservation, and mental health. We present a network analysis of their interconnections, revealing complex interdependencies and potential cascading effects of interventions. Our mathematical framework, based on graph theory and network analysis, provides a rigorous foundation for understanding and quantifying these relationships. This research contributes to decolonizing and degendering technoscience, offering a more equitable framework for addressing pressing human problems \cite{roy2018}. Our findings have significant implications for research prioritization, policy-making, and resource allocation in scientific and technological endeavors, potentially reshaping how we approach and address the most critical issues facing humanity.
Electrochemical Detection of H2O2 using Bi2O3/Bi2O2Se Nanocomposites
Authors: Walimbe Pooja D. , Kumar Rajeev , Shringi Amit Kumar , Ouma Hazel Achieng , Keelson Obed , Yan Fei
Published: September 2024

The development of high-performance hydrogen peroxide (H2O2) sensors is critical for various applications, including environmental monitoring, industrial processes, and biomedical diagnostics. This study explores the development of efficient and selective H2O2 sensors based on bismuth oxide/bismuth oxyselenide (Bi2O3/Bi2O2Se) nanocomposites. The Bi2O3/Bi2O2Se nanocomposites were synthesized using a simple solution-processing method at room temperature, resulting in a unique heterostructure with remarkable electrocatalytic properties for H2O2 detection. Characterization techniques, including powder X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS) and scanning electron microscopy (SEM), confirmed the successful formation of the nanocomposites and their structural integrity. The synthesis time was varied to obtain the composites with different Se content. Electrochemical measurements revealed that the Bi2O3/Bi2O2Se composite formed under optimal synthesis conditions displayed high sensitivity (152.7 µA µM-1 cm-2) and excellent selectivity towards H2O2 detection, along with a wide linear detection range (0.02 - 15 µM) and low detection limit (1.62 µM). The superior performance is attributed to the synergistic effect between Bi2O3 and Bi2O2Se, enhancing electron transfer and creating more active sites for H2O2 oxidation. These findings suggest that Bi2O3/Bi2O2Se nanocomposites hold great potential as advanced H2O2 sensors for practical applications.
The Ripple Framework: Co-Producing Social, Cultural, and Economic Value in Care through a Generative and Relational Approach
Authors: Soares Luis , Kettley Sarah
Published: September 2024

Work has been undertaken in healthcare sector to explore ways of co-produce design responses with different communities, and organisations. However, we lack empirical analysis of how design thinking can help tackle complexity. To assist the (anonymised for peer review) programme, we curated the Ripple Framework to develop trust and attempt to address the challenges of complexity in nursing. Through a generative design process data was used to collaboratively define bespoke co-design pathways with 31 participants from six Scottish care providers over ten months. Thematic, content and matrix analyses produced insights to inform vignettes illustrating how design responded to complex social care sector needs, with a particular focus on fulfilment and flourishing of the care workforce. Drawing on our empirical material and using the Design Research Value Model (Rodgers et al.), we illustrate how we have developed care's social, cultural, and economic value, through co-design, this way contributing to strategies to address the care crisis.
Detection of C-KIT Mutations in Systemic Mastocytosis: How, When and Why
Authors: Cilloni Daniela , Maffeo Beatrice , Savi Arianna , Danzero Alice Costanza , Bonuomo Valentina , Fava Carmen
Published: September 2024

More than 90% of patients affected by mastocytosis are characterized by a somatic point mutation of c-KIT, which induces ligand-independent activation of the receptor and downstream signal triggering, ultimately leading to mast cell proliferation and survival. The most frequent mutation is c-KIT p.D816V, but other rarer mutations can also be found. These mutations often have a very low variant allele frequency (VAF), well below the sensitivity of common next-generation sequencing (NGS) methods used in routine diagnostic panels. Highly sensitive methods are developing for detecting mutations. This review summarizes the current indications on the recommended methods and on how to manage and interpret molecular data for the diagnosis and follow-up of patients with mastocytosis.