bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improved Variable Scale Optimisation Algorithm in Water Saving Landscape Design and Its Application
Authors: Xiao Kang , Li Huizi , Xue Mei , Chen Yu 
Published: October 2024

Abstract
With the acceleration of urbanisation, the problem of water resource shortage is becoming increasingly serious. Currently, the water use situation in Chinese cities is severe and the contradiction between the supply and demand of water resources is prominent, which has become one of the main factors restricting sustainable development of cities. Traditional research on water-saving landscape design focuses mainly on the analysis of the efficiency of water resource utilisation within a single area or city. The scope of the research is limited and the research methods are individual, which cannot fully meet the current needs of sustainable urban water-saving landscape design. The improved variable scale optimisation algorithm has become an indispensable tool in modern landscape design and would play a more important role in landscape design and ecological environment protection in the future. In response to the shortcomings of traditional variable-scale optimisation algorithms in solving the optimisation problem of water-saving landscape design for ecological sustainable development, this article would use an improved variable-scale optimisation algorithm to study the water-saving landscape design for ecological sustainable development in Community X, City B, Province A. The research results indicated that there were three experts who rated the effect of the water saving landscape design of the first group of designers as good or above, accounting for 37.5 %. The number of people who rated the effectiveness of water-saving landscape design in the second group as good or higher was 8, representing 100 %. The improved variable-scale optimisation algorithm could effectively improve the application of water-saving landscape design in ecological sustainable development.
Determination of the effect of GA3 applications on plant development, nutrient content change and analysis of root architectural features using ML artificial neural network modelling in Tulipa saxatilis
Authors: Sari Ömer 
Published: October 2024

ABSTRACT
This study has determined the effects of gibberallic acid (GA3) on the plant development, root and bulb nutrient content in the wild species Tulipa saxatilis. Spray treatments of GA3 at 0, 100, 200 and 400 ppm were conducted in research. 400 ppm is the most effective application, which increased plant height and flower stem length by 39% and 35.6%, respectively. On the other hand, the highest results in flower number were achieved in the control (2). Vase life and number of bulblets were 42% and 42.9% higher, respectively, at 100 ppm than in the control. Also, 200 ppm was the best application to increase mother bulb weight and diameter by 117.1% and 21.4%, respectively. Of bulb were found only N and P contents to be lower than the control; most effective application was 100 ppm for K, Fe, Cu and Mn content; 200 ppm for Ca and Zn content; and 400 ppm for Mn content. Although GA3 applications had different effects on root architecture, 200 ppm was generally the most effective. As a result, an increase in plant height, bulb characteristics, bulb number and vase life was achieved in T. saxatilis, which has a relatively small stem length. Additionally, the study employed machine learning algorithms, including LR, MCC, MLP, J48, PART and Baggin. The input variables were assessed to model and predict the root traits. Performance percentages of ML algorithms were listed as LR > MCC > MLP > J48 > PART > Baggin.
„Erzähl mir was, Großvater!“1 Geschichten über das Schicksal der Siebenbürger Sachsen nach dem Zweiten Weltkrieg anhand des Romans von Karin Gündisch Weit, hinter den Wäldern.
Authors: Karlstedt Ana 
Published: October 2024

Abstract
It is with the words „Denkst du, das Leben besteht aus Geschichten?“2 that Peterʼs grandfather answers to Peterʼs request to be told yet another story. They say that a collective memory is only imaginable and perceivable in its manifestations of individuals. This is the ace up Karin Gündischs sleeve that she uses in her novel Weit, hinter den Wäldern. A relatively unknown, yet valuable author, she manages to envision the post World War II world in a Saxonian village in a very authentic way. Filtered through the gaze of young Peter, 12, the author tells the stories of the deprivations and humiliations that Saxonians had to endure after World War II in Russian imprisonment. The novel also talks about guilt on both ends. At first, the stories are entertaining for the children, but they soon discover they are listening to stories about survival in dire times. Many storytellers get to tell their stories throughout the novel, as the book abounds in Scheherezade-like stories that soften the blow of the hard day to day life in Transylvania. This article aims at answering the question as to what roles storytelling plays in a context of atrocity. Roger Willemsen warns about the tough process of dealing with a difficult past, which Karin Gündisch, in her book for children and teenagers, but also for adults excels at: “There is no easy way to talk about the horrendous.“
Enhancing Quantum Key Distribution Protocols for Extended Range and Reduced Error
Authors: Dallaf Amina Alkilany Abdallah 
Published: October 2024

Abstract
this paper proposes an optimized Quantum Key Distribution (QKD) protocol using entanglement swapping techniques to extend transmission range and improve error correction. Additionally, integrates an advanced error correction technique which is Low Density Parity Check (LDPC) and multi-hop quantum repeaters for more enhancement of the protocol performance. Hybrid Quantum Classical Error Correction Methods is applied ensuring compatibility and optimal performance and to manage the increased complexity. Simulations prove that 25% improvement in transmission distance with entanglement swapping. 50% improvement with advanced error correction and a 100% improvement with multi-hop quantum repeaters compared to existing protocols. These discoveries are supported by both theoretical analysis and simulation results, indicating significant decreases in error rates and extensions in maximum transmission distances. Comparative analysis made with existing protocols and that demonstrated the superiority of proposed approach in terms of extended secure communication distance, higher key generation rate and improved resilience to attacks.
Hippocampal Cognitive Function Based on Deep Learning
Authors: Zhang Bijun , Yao Hongge 
Published: October 2024

Abstract
This research focuses on the study of agent behavior decision-making based on hippocampal cognitive functions, aiming to enhance the decision-making capabilities of agents in complex task environments by deeply exploring the crucial role of the hippocampus in learning, memory, and cognitive processes. By drawing inspiration from the biological structure and functional characteristics of the hippocampus, researchers are dedicated to designing and developing more intelligent and adaptive decision-making models to enhance agents' behavioral performance, problem-solving abilities, and adaptability to new situations. To achieve this goal, the research integrates advanced artificial intelligence technologies such as reinforcement learning and deep learning to simulate the complex functions of the hippocampus in memory encoding, storage, retrieval, and cognitive reasoning. This research not only contributes to advancing intelligent systems towards higher levels of intelligence and personalization but also plays a significant role in improving the interaction between intelligent agents and humans, providing intelligent services that better meet user needs. We found that the neural network trained in multi-task learning benefits from a loss term that promotes relevant and irrelevant representations. Therefore, the complementary coding we found in CA3 can provide extensive computational advantages for solving complex tasks. Furthermore, the study emphasizes the importance of further elucidating the functional mechanisms of the hippocampus, with the expectation of providing a more solid theoretical foundation for the optimization and refinement of agent decision-making models in the future.
Infrared Weak and Small Target Detection Algorithm Based on Deep Learning
Authors: Wang Lei , Yu Jun 
Published: October 2024

Abstract
In the infrared imaging scene where the target is at a long distance and the background is cluttered, due to the interference of noise and background texture information, the infrared image is prone to problems such as low contrast between the target and the background, and feature confusion, which makes it difficult to accurately extract and detect the target. To solve this problem, firstly, the infrared image is enhanced by combining DDE and MSR algorithm to improve the contrast and detail visibility of the image. For the RT-DETR network structure, the EMA attention mechanism is introduced into the backbone to enhance the feature extraction ability of the model by extracting context information. The CAMixing convolutional attention module is introduced into CCFM, and the multi-scale convolutional self-attention mechanism is introduced to focus on local information and enhance the detection ability of small targets. The filtering rules of the prediction box are improved, combined with Shape-IoU, and the convergence speed of the loss function in the detection and the detection accuracy of small targets are improved by paying attention to the influence of the intrinsic properties of the bounding box itself on the regression. In the experiment, the infrared weak target image dataset of the National University of Defense Technology was selected, labeled and trained. Experimental results show that compared with the original DETR algorithm, the average precision of the improved algorithm (mAP) is increased by 3.2%, and it can effectively detect infrared weak and small targets in different complex backgrounds, which reflects good robustness and adaptability, and can be effectively applied to infrared weak and small target detection in complex backgrounds.
Vector Storage Based Long-term Memory Research on LLM
Authors: Li Kun , Jing Xin , Jing Chengang 
Published: October 2024

Abstract
Current large language model (LLM) intelligences face the challenges of high inference cost and low decision quality when dealing with complex tasks, and are especially deficient in maintaining context coherence during long tasks. This research presents an innovative vector storage long-term memory mechanism model (VIMBank) to enhance the long-term context retention ability and task execution efficiency of LLM intelligences by storing and retrieving historical interaction data through a vector database. VIMBank utilizes a dynamic memory updating strategy and the Ebbinghaus forgetting curve theory to efficiently manage the memory of intelligences and reinforce critical information, forgetting unimportant data, and optimizing storage and reasoning costs. The experimental results show that VIMBank significantly improves the decision quality and efficiency of LLM intelligences in multi-tasking scenarios and reduces the computational cost. Compared with different agents, the success rate of task decision is increased by 10% to 20%, and the reasoning cost is reduced by about 23%, which provides an important theoretical basis and practical support for the future development of intelligences with long term memory and adaptive learning ability.
The effect of prenatal fumonisin B exposure on bone innervation in newborn Wistar rats
Authors: Tomaszewska Ewa , Dobrowolski Piotr , Dajnowska Aleksandra , Arbatowska Liwia , Puzio Iwona , Rudyk Halyna , Brezvyn Oksana , Kotsyumbas Ihor , Donaldson Janine , Śliwa Jadwiga , Arciszewski Marcin B. , Muszyński Siemowit 
Published: October 2024

Abstract

Introduction
This study explored the effects of prenatal exposure to fumonisins B (FB) on bone innervation in newborn Wistar rats.

Material and Methods
Pregnant dams (n = 6 per group) were assigned to either the control or one of two FB-exposed groups (60 mg or 90 mg/kg body weight) from the 7th day of gestation until parturition. On the day of parturition, one male pup from each litter (n = 6 per group) was randomly selected and euthanised, and their femurs were dissected for analysis. Bone innervation was quantified by examining the morphology patterns of sympathetic, parasympathetic, sensory and cocaine- and amphetamine-regulated transcript (CART)-positive fibres. Prepared bone sections were analysed using immunohistochemistry staining for protein gene product 9.5, tyrosine hydroxylase, choline acetyltransferase, vasoactive intestinal peptide (VIP), substance P and CART-positive neurons.

Results
The group that received a higher dose of FB demonstrated an increase in both the size and complexity of the complete bone neuronal network together with heightened sympathetic and sensory innervation, and displayed a decrease in neuron density and sympathetic innervation. Fumonisin B exposure led to a decrease in galanin-positive and VIP-positive bone neuronal networks in both groups exposed to FB, while in the lower-dose group, there was also a decrease in CART-positive innervation.

Conclusion
Prenatal FB exposure significantly influences the neuronal bone network of rats, which is essential for maintaining bone homeostasis. These findings emphasise the necessity for further research to understand the lasting effects and underlying mechanisms of alterations induced by FB.
Pemanfaatan Limbah Ampas Kopi dan Kelapa Berbasis Zero Waste sebagai Pupuk Organik terhadap Pertumbuhan dan Hasil Tanaman Jagung Manis
Authors: Analisa Widya 
Published: October 2024

Jagung manis adalah tanaman yang ditanam untuk konsumsi manusia dan makanan olahan industri di seluruh dunia. Berdasarkan hitungan Direktoran Jenderal Tanaman Pangan Kementan, produksi jagung manis dalam 5 tahun terakhir meningkat rata-rata 12,49 persen per tahun. Dalam menjawab tantangan memenuhi kebutuhan pangan khususnya jagung manis yang terus meningkat, penggunaan pupuk hijau atau pupuk organik dapat menjadi alternatif menarik. Pemanfaatan limbah ampas kopi dan ampas kelapa dapat dijadikan salah satu bahan pembuatan pupuk organik. Penelitian ini bertujuan untuk mengetahui jenis pupuk organik dan dosis terbaik pertumbuhan dan hasil tanaman jagung manis. Selain itu penelitian ini juga bertujuan untuk memberikan edukasi tetntang pengolahan limbah ampas kopi dan ampas kelapa menjadi produk yang bermanfaat dan ramah lingkungan. Penelitian ini menggunakan Rancangan Acak Kelompok (RAK) dengan perlakuan sebagai berikut : K1 : Kontrol (tanpa pemberian pupuk); K2 : Kontrol Pupuk Sintetik (NPK Mutiara 16:16:16); A1 : Pupuk Organik Ampas Kopi 150 g/tanaman; A2 : Pupuk Organik Ampas Kopi 200 g/tanaman; A3 : Pupuk Organik Ampas Kelapa 150 g/tanaman; A4 : Pupuk Organik Ampas Kelapa 200 g/tanaman; A5 : Pupuk Organik Ampas Kopi dan Ampas Kelapa 150 (75+75) g/tanaman; dan A6 : Pupuk Organik Ampas Kopi dan Ampas Kelapa 200 (100+100) g/tanaman. Hasil menunjukkan bahwa perlakuan A4 atau dengan pemberian pupuk organik ampas kelapa sebanyak 200 g/tanaman berpengaruh sangat nyata terhadap tinggi tanaman, bobot berangkasan basah dan kering, panjang tongkol, diameter tongkol dan bobot tongkol. Hasil pemberian pupuk organik ampas kelapa sebanyak 200 g/tanaman sebagai perlakuan terbaik memberikan hasil yang tidak jauh berbeda dengan kontrol pemberian pupuk sintetik NPK.
Pengaruh Pruning Pucuk Apikal Dan Posisi Penyerbukan Buah Terhadap Kualitas Buah Pada Budidaya Melon (Cucumis melo L.) Varietas Kirani Dengan Sistem Hidroponik Nutrient Film Technique
Authors: Wati Asiah , Nugrahini Tutik 
Published: October 2024

Tujuan penelitian pengaruh pruning pucuk apikal, mengetahui pengaruh posisi penyerbukan buah dan mengetahui interaksi pruning pucuk apikal dan posisi penyerbukan buah terhadap kualitas buah pada budidaya melon Untuk mendapatkan mencapai tujuan dari penelitian ini melakukan pengambilan data berupa ; Berat buah, diameter buah, tebal daging buah dan tingkat kemanisan buah. Penelitian Kelurahan Sempaja Timur, Kecamatan Samarinda Utara, Kota Samarinda, Provinsi Kalimantan Timur Penelitian ini dilaksanakan selama 4 (empat) bulan, mulai dari bulan Januari sampai dengan April 2024. Penelitian menggunakan Rancangan Acak Kelompok (RAK) Faktorial dengan perlakuan pertama yaitu dengan taraf p22 (pruning pada ruas 22), p24 (pruning pada ruas 26), p28 (pruning pada pada ruas 28) dan p30 (pruning pada ruas 30) dan perlakuan posisi penyerbukan buah padat 4 taraf yaitu ; b9 (buah pada ruas 9), b10 (buah pada ruas 10), b11 (buah pada ruas 11) dan b12 (buah pada ruas 12). Hasil penelitian pada perlakuan pruning (p) pada taraf p24 (pruning ruas 24) berpengaruh nyata pada parameter berat buah, diameter buah dan tingkat kemanisan, perlakuan posisi penyerbuhan (b)pada taraf b9 berpengaruh nyata pada berat buah, diameter buah dan tingkat kemanisan dan interaksi pruning pucuk apikal dan posisi penyerbukan buah dengan taraf p24b9 berpengaruh nyata pada parameter berat buah, diameter buah dan tingkat kemanisan

Kata kunci : teknik budidaya, smart farming, hasil
The Benefits of an Inclusive Karate Program on an Individual’s Well-Being
Authors: Kayama Michael 
Published: October 2024

Happiness and longevity, including a desire to reach 100 years old and earn the title of “centenarian,” are common goals for many (Ekerdt et al., 2017). In Blue zones, or geographic areas with longer life expectancies, these goals often become a reality, with a greater number of centenarians observed than in other regions. Okinawa, Japan, for example, has a centenarian prevalence of 7234 per 100,000, exceeding the national average by 30% (National Institute of Population and Social Security Research [IPSS], 2022; Human Mortality Database [HMD], 2021). In other developed countries such as Canada, where cultural factors promote sedentary lifestyle habits, the centenarian population is reduced by approximately half to 3664 per 100,000 (HMD, 2021).
To combat this, the implementation of biohacks from regions such as Okinawa, where longevity is linked to social health and light exercise, may prove to be beneficial (Inoue et al., 2009; Kavedžija, 2015; Yamada et al., 2012). These biological strategies, implemented on a “do-it-yourself” basis, ultimately aim to improve quality of life and well-being (Meyer, 2020). Karate, an accessible Japanese exercise overcoming constraints such as poor infrastructure or access to healthy foods, is one such approach, ultimately supporting participants by promoting exercise and social connection (Inoue et al., 2009).
Transforming the Music Listening Experience With Neural Headphones
Authors: Schon Julia , Hossain Eilora , Farrell Renee 
Published: October 2024

Neural headphones are an innovative technology that integrates brain-computer interfaces with traditional headphones, offering a personalized and immersive music experience. By using electroencephalogram (EEG) sensors to monitor brainwave activity, neural headphones adjust sound characteristics in real-time to enhance the listener’s cognitive and emotional engagement. Such technology has the potential to transform how individuals interact with music, providing a tailored auditory experience. While promising, concerns about comfort, data privacy, and usability for certain populations exist. Emerging research highlights the potential benefits of neural headphones in improving cognitive function through alpha oscillation sound stimulation. This paper explores the technology’s potential, risks, and social determinants affecting its adoption, alongside its broader implications for brain-computer interface applications in auditory experiences. Further exploration into the potential benefits and risks is needed to fully understand the scope of this innovation.
The experience of the COVID-19 pandemic and tolerance to uncertainty
Authors: Pervushina Olga N. , Fedorov Alexandr A. , Dorosheva Elena A. 
Published: October 2024

The article presents the results of the study of the experience of the COVID-19 pandemic in the context of tolerance of uncertainty. Respondents (N = 2,837) answered a series of questions regarding how they are dealing with the COVID-19 situation, and MSTAT-II questionnaire. It was found that the emotional background is dominated by such emotions as fear, irritation, anxiety and sadness. Tolerance of uncertainty turned out to be negatively associated with all negative emotions, which allows us to consider it as a resource that reduces negative experience in the current situation. Data was also obtained regarding the relationship between the characteristics of the COVID-19 pandemic experience with the age and gender of the respondents.
БООРДУН ФУНКЦИЯСЫНЫН БУЗУЛУУСУНДАГЫ БЕЙТАПТАРДЫН ЛАБОРАТОРИЯЛЫК КӨРСӨТКҮЧТӨРҮНӨ САЛЫШТЫРМАЛУУ ТАЛДОО
Authors: Женишбекова З.М. , Марасулов А.А. 
Published: October 2024

Боор ооруларынын диагностикасы учурда эң татаал көйгөйлөрдүн бири болуп саналат. Боордун катуу жабыркашы менен ооругандардын санынын өсүшү ишенимдүү диагностикалык маалыматты талап кылат. Боор функцияларынын көп түрдүүлүгү жана ооруларынын кеңири болгондугуна байланыштуу так жана туура диагноз коюуу үчүн, атайын лаборатордук изилдөөлөрдү жүргүзүү керек. Ар бир клиникалык кырдаалда диагностикалык тесттердин оптималдуу топтомун тандап алуу жана натыйжаларды оорунун клиникалык көрүнүшүнө ылайык чечмелөө зарыл. Күнүмдүк практикада жалпы кабыл алынган, билирубиндин курамы, аминатрансферазанын активдүүлугү ж.б клиникалык жана биохимиялык тесттер колдонулат. Бул макалада боор циррозу жана холелитиаз диагноздору менен №1 Шаардык клиникалык ооруканасынын хирургия жана тез жардам терапия бөлүмүндө даарыланууда болгон 231 бейтаптын боордун функционалдык абалынын көрсөткүчтөрүнө салыштырмалуу талдоо жүргүзүлдү.
Диагностика заболеваний печени в настоящее время является одной из самых сложных проблем. Возрастающее число пациентов с тяжелым поражением печени требует надежной диагностической информации. В связи с многообразием функций печени и широким спектром заболеваний необходимо проведение специальных лабораторных исследований для постановки точного и правильного диагноза. В каждой клинической ситуации необходимо подобрать оптимальный набор диагностических тестов и интерпретировать результаты в соответствии с клинической картиной заболевания. В повседневной практике используются общепринятые клинические и биохимические тесты, такие как содержание билирубина, активность аминотрансфераз и др. В данной статье проведен сравнительный анализ показателей функционального состояния печени 231 больного циррозом печени и желчнокаменной болезнью, находившихся на лечении в отделении хирургии и экстренной терапии Городской клинической больницы №1.
Diagnosis of liver diseases is currently one of the most difficult problems. An increasing number of patients with severe liver damage require reliable diagnostic information. Due to the variety of liver functions and a wide range of diseases, it is necessary to carry out special laboratory tests to make an accurate and correct diagnosis. In each clinical situation, it is necessary to choose the optimal set of diagnostic tests and interpret the results in accordance with the clinical picture of the disease. Common clinical and biochemical tests, such as bilirubin content, aminotransferase activity, etc., are used in daily practice. In this article, a comparative analysis of indicators of the functional state of the liver of 231 patients with cirrhosis of the liver and gallstones, who were treated in the department of surgery and emergency therapy of City Clinical Hospital No. 1, was carried out.