bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of the predatory impacts of indigenous and adventive ladybeetle species (Coleoptera: Coccinellidae) using a functional response approach
Authors: Ranjbar Fateme , Jalali M. Amin , Ahmadi Zahra , Pons Xavier , Levi-Mourao Alexandre , Ugine Todd 
Published: January 2024

Abstract

Biological control has long been recognized for its economic and ecological benefits as a pest management approach, but the use of non-native natural enemies has raised concerns about potential risks and unintended consequences. Indigenous predatory ladybeetles, such as Oenopia conglobata, play a crucial role in controlling many sap-sucking pests, including Agonoscena pistaciae, which is the most destructive pest of pistachio trees in Iran and other pistachio-growing regions worldwide. However, the abundance of Oenopia conglobata has recently decreased due to the presence of an adventive predatory ladybeetle, Menochilus sexmaculatus. To better understand the potential risks associated with this adventive species, we investigated the functional responses of female adults of M. sexmaculatus and O. conglobata against the third and fourth instar nymphs of A. pistaciae and Aphis gossypii. Our findings revealed that both predators exhibited a type II functional response, with O. conglobata demonstrating a significantly higher attack rate against A. pistaciae nymphs than A. gossypii nymphs. In contrast, prey species did not have a significant effect on the attack rate of M. sexmaculatus. Notably, M. sexmaculatus displayed the highest predation rate and voracity against both prey species. These results provide valuable insights into the potential risks of M. sexmaculatus for indigenous predatory species like O. conglobata. The fact that M. sexmaculatus exhibits higher voracity for both prey species than O. conglobata does suggest that it may pose a threat to the native ladybeetle population, highlighting the need for further research and careful consideration when introducing non-native natural enemies for pest management.
Quantum image encryption algorithm based on Fisher-Yates algorithm and Logistic mapping
Authors: Fan Ping , Zhang Yiteng 
Published: January 2024

Abstract

The parallel computing power of quantum computing and the special properties of qubits provide an effective solution for image processing tasks. This paper presents a quantum image encryption algorithm based on Fisher-Yates algorithm and Logistic mapping. Firstly, the Fisher-Yates algorithm is used to generate three key sequences, one of which is used to encode the coordinate qubits of the image. Using the other two keys and the preset rules, the quantum coordinate scrambling operation is designed based on the encoded coordinate qubit, which effectively scrambles the spatial information of the plaintext image. Next, another set of key sequences is generated, one of which is used to encode the color qubits of the image. Using two other key sequences and different rules, a qubit plane scrambling operation based on coded color qubits is designed, and the color information of image is scrambled successfully. Finally, the quantum key image is generated based on Logistic mapping, and the key image is scrambled based on Fisher-Yates algorithm to improve the key complexity. The final ciphertext image is obtained by performing XOR operation between the original image and the scrambled key image. The complete quantum circuit diagram of the scheme is given in this paper. The experimental results and security analysis prove the effectiveness of the scheme, which provides a large key space and the computational complexity is only O(n).
How do administrative penalties for digital technologies affect the digitization of agriculture: Evidence from China
Authors: Sun Yuran , Chen Canping 
Published: January 2024

Abstract

Digital technology is a key technology for agricultural digitization, and administrative penalties are the main policy tool to regulate the behavior of enterprises. How do administrative penalties on digital technology companies (i.e., digital technology administrative penalties) affect the development of agricultural digitization? This paper applies deterrence theory and conducts empirical tests based on Chinese urban data from 2008 to 2020 to investigate the impact of digital technology administrative penalties on agricultural digitization and its mechanisms.The findings showthat digital technology administrative punishment can promote the development of agricultural digitalization in three aspects: digital technology, financial support, and talent capital through deterrence.Further analysis revealsthat digital technology administrative punishment can promote agricultural digitization by enhancing digital technology entrepreneurship and social risk-taking. This study provides new evidence on the impact of government legal regulations on agricultural digitization. It expands the research on the relationship between digital technology administrative penalties and agricultural digitization from a new perspective of post-punishment.
RETRACTED: Optimizing Chromosome Analysis through VGT-MS: Leveraging Visual Geometric Transformer, VGG-16, and Vision Transformer for Enhanced Abnormality Identification
Authors: Nimitha Nelliyadan , Ezhumalai Periyathambi , Chokkalingam Arun 
Published: January 2024

Abstract

The authors have requested that this preprint be removed from Research Square.
Effect of dietary protein reduction on growth performance and water quality of the blue streak hap Labidochromis caeruleus (Fryer, 1956) reared in a biofloc system
Authors: Yılmaz Melis , Erdoğan Fatime , Erdoğan Mete 
Published: January 2024

Abstract

The 8-week study evaluated the effect of dietary protein reduction on growth performance and water quality of blue streak hap (Labidochromis caeruleus) using biofloc technology (BFT). Fish averaging 0.67 ± 0.13 g in weight were distributed into 18 polyester tanks, each with a water volume of 60 L within 100 L tanks, accommodating 15 fish per tank. Four isolipidic and isoenergetic diets were formulated with gradually decreasing protein levels (40%, 35%, 30% and 25%). Four biofloc groups (40P + BF, 35P + BF, 30P + BF, and 25P + BF) and control (C) (40P + without BF) were fed twice daily (09:00 and 17:00) at a rate of 5% of their body weight. Molasses was added to the experimental tanks on a daily basis as an organic carbon source. This ensured that the biofloc tanks had a balanced carbon/nitrogen (C/N) ratio and facilitated control of total ammonia nitrogen (TAN), nitrite-nitrogen (NO2-N) and nitrate-nitrogen (NO3-N) levels. The nutritional composition of the bioflocs obtained from the experimental groups revealed that the crude protein and crude lipid contents were 37.00-38.14% and 1.45–1.52%, respectively (P > 0.05). The best specific growth rate (SGR) (1.68%) and feed conversation ratio (FCR) (2.21) were determined in the 35P group. Based on the overall evaluation of the study's data, it can be concluded that the dietary protein for the blue streak hap (L. caeruleus) can be reduced from 40–35% in a biofloc system without any negative effects on health. Improving water quality and providing additional food to fish through zero water exchange and organic carbon addition (BFT) can be considered as a sustainable aquaculture technique that can be used in ornamental fish farming.
WITHDRAWN: AMPK α Succinylation modification of protein K266 enhances lipid metabolism and promotes growth of non-small cell lung cancer cells
Authors: 汤 喜连 , Huang xiao-qin , Jian Zheng , Yu Hua-jun , Huang Qin-ying , He Liu-yan , Huang Qian-qian , Chen Rong-rong , Xian Xue-min , Chen Hu-ting , Jun Wu , Zhang Hai-tao 
Published: January 2024

Abstract
Objective: The succinylation level of the AMPKα1 protein at K266 is higher in non-small cell lung cancer tissues than normal tissues, but its relationship with NSCLC development is unclear and thus needs to be investigated.
Methods: AMPKα1-knockout and mutant cell lines that simulate AMPKα1 succinylated and desuccinylated at K266 were generated via CRISPR/Cas9 and site-directed mutagenesis technology. The effects of AMPKα1 succinylation at K266 on the proliferation, apoptosis and lipid metabolism of NSCLC cells were also analysed. The role of succinyltransferases and desuccinylases in regulating AMPKα1 succinylation at K266 was analysed by immunoprecipitation and in vitro catalytic experiments. The effects of AMPKα1 succinylation on lipid metabolism and the AMPKα1 ubiquitination level were also analysed. The relationship between AMPKα1 succinylation at K266 and NSCLC development was analysed via immunohistochemistry.
Results: The expression levelsof AMPKα1 and AMPKα1 succinylated at K266 were higher in NSCLC tissues, which promoted the growth of NSCLC. The 5-year overall survival rate of the group with high levels of AMPKα1 succinylated at K266 was lower than that of the group with low levels of succinylation at K266, and the succinylation levels were associated with the T (P=0.024), N (P=0.018), and TNM stages (P=0.024) in NSCLC patients. HAT1 and SIRT5 can interact with AMPKα1 and participate in the regulation of AMPKα1 succinylation at K266. The succinylation of AMPKα1 at K266 regulates lipid metabolism, and this process can lead to a decrease in AMPKα1 ubiquitination.
Conclusion:
AMPKα1 succinylation at K266 inhibits the ubiquitination-mediated degradation of AMPKα1, which increases the stability of this protein, enhances lipid metabolism, and promotes the growth of NSCLC cells. These findings have clinical diagnostic value for NSCLC and provide important clues for understanding the occurrence and development of NSCLC.
Kumap: Kernel Uniform Manifold Approximation and Projection for Out-of-sample Extensions Problem
Authors: Ran Ruisheng , Li Benchao , Zou Yun 
Published: January 2024

Abstract
Uniform Manifold Approximation and Projection (UMAP) is a popular dimensionality reduction and visualization algorithm recently proposed and widely used in several fields. However, UMAP encounters difficulties in mapping new samples into low-dimensional embeddings with what has been learnt from the learning process, which often referred to as the out-of-sample problem. In this paper, a kernel UMAP (KUMAP) method is proposed to address this problem, which is a kernel-based expansion technique. It uses the Laplacian kernel function to map the original samples to the low-dimensional space. In addition, to make full use of the label information in the sample data, a supervised kernel UMAP (SKUMAP) is also proposed. The KUMAP and SKUMAP methods are evaluated on different scale datasets in terms of the preservation of structure in small neighborhood data, silhouette coefficients, and classification accuracy. Compared with UMAP and other representative method, the KUMAP and SKUMAP methods have better embedding quality, higher classification accuracy, and better visualization.
Study on spatial distribution and network connectivity characteristics of buildings in Qingyan Ancient Town in Guiyang
Authors: Zhao Yaxing , Huang Zongsheng 
Published: January 2024

Abstract

The spatial distribution of Qingyan Ancient Town and its military wisdom are studied using Thiessen polygons, fractal theory and complex networks methods with Qingyan Ancient Town as the object of study, in order to clarify the characteristics of the architectural layout of the military-type ancient towns in southwest China since the Ming Dynasty. The results show that the architectural spaces of the six districts of Qingyan Ancient Town have good self-similarity and complexity, the architectural space forms of the six districts are mainly influenced by the natural geomorphology, all of them are agglomerated and distributed, and their architectural space layout form structure and function are consistent. Besides, the functional variability of the building space will have an impact on the connectivity characteristics of the building network, the greater the density of the building space network, the greater the network degree centrality potential, the more uneven the distribution of nodes, the more obvious the centripetal tendency, the better the network connectivity. The architectural network of Qingyan Ancient Town is characterised by low vulnerability, good stability and strong connectivity, reflecting the wisdom of the architectural layout within Qingyan Ancient Town, which is based on the military connectivity function of efficient and close cooperation of the inhabitants, taking into account the economic trade and cultural life, thus forming a complete military Tunpu small society. Second, the functional difference of subjectivity leads to the connectivity of architectural spatial network with hierarchical and graded characteristics, and the natural factors, human factors and social system factors of traditional villages, ancient towns and ancient settlement sites in southwest China affect the connectivity of architectural spatial network, the connectivity of the architectural spatial network of traditional settlements signifies the intrinsic laws of nature and society, and connectivity can characterise the laws of the natural and social environment in which traditional settlements were created. Finally, this study can provide a scientific reference for the conservation planning, design and construction management of military Tunpu ancient towns.
The Impact of Monetary Policy Rates on the Prices of Indian Stocks: Emphasis on Banks’ Nifty Index in Particular.
Authors: Belavadi Nikhil 
Published: January 2024

Abstract
The study investigates the relationship between monetary policy rates and stock prices in India, with a particular focus on the Bank Nifty Index. Monetary policy plays a crucial role on shaping economic conditions, and its impact on stock prices has been a topic of interest for both researchers and market participants. The Bank Nifty index, consisting of major banking stocks, provides valuable insights into the financial sector’s performance.
The study employs a comprehensive dataset covering relevant monetary policy rates, such as the repo rate, reverse repo rate, cash reserve ratio, statutory liquidity ratio, marginal standing facility and bank rate, alongside historical Bank Nifty index data. Statistical and econometric methods are utilized to Analyze the data and ascertain potential casual links and correlations between monetary policy changes and stock price movements. The findings contribute to a deeper understanding of the dynamic interactions between monetary policy and stock market behaviour, particularly within the banking sector. Additionally, insights derived from this research can aid investors, policymakers and financial institutions in making informed decisions, managing risks and optimizing portfolio strategies.
JEL Classification: E52; E58; E60; G10; G210.
Design of an Olympic performance prediction system based on optical sensing technology and facial expression recognition
Authors: Jiao Liuyang , Yao Jianan 
Published: January 2024

Abstract

In the development research of sports, predicting performance is a crucial task. Through scientific prediction methods, athletes can be better guided to train and develop scientific training plans. At present, the prediction of sports performance mainly relies on expert experience, and its accuracy is relatively low. Based on this, in order to address the challenge of large-scale data, we propose an Olympic performance prediction system based on genetic algorithm and related facial expression recognition technology. The system utilizes the self-organization, adaptability, and intelligence of genetic algorithm, with the main goal of improving search efficiency. After multiple comparative experiments, the algorithm proposed in this article shows higher accuracy in feature selection of multidimensional data, almost surpassing the level of all other algorithms. In order to improve the overall running speed of the system, parallel processing technology was adopted. The results showed that our designed system demonstrated excellent performance advantages in both user connection count and HTTP connection count testing, providing support for in-depth research on Olympic performance and expanding competitive sports. At the same time, it also improved the accuracy of Olympic performance prediction and provided data support.
Anti-inflammatory and regenerative effects of MKARE® Eggshell Membrane: an in vitro osteoarthritis model and placebo-controlled clinical study.
Authors: Casado-Santos Alejandro , Nuez-García Manuel A. La , Álvarez-Rodríguez Patricia , González-Cubero Elsa , González-Rodríguez Yaiza , Fernández María Luisa González- , Villar-Suárez Vega 
Published: January 2024

Abstract
MKARE®, a 100% natural ingredient derived from fresh eggshell membrane (ESM), has a rich composition in bioactive compounds like collagen, hyaluronic acid, and elastin. These components are beneficial for managing osteoarthritis (OA) due to their anti-inflammatory and regenerative properties. Highlighting the significance of freshness, our research has shown that the effectiveness of MKARE® is higher than that of other commercial products based on ESM that have been stored for several days at room temperature, losing their bioactive compounds. This study explores the MKARE® anti-inflammatory capacity through an in vitro and clinical analyses, demonstrating its ability to alleviate OA symptoms and improve joint health. This underscores the crucial role of freshness in optimizing the therapeutic benefits.
The results of therapy of patients with multiple myeloma in real clinical practice (results of a multicenter study)
Authors: Zabolotneva Yu. A. , Gubkin A. V. , Lysenko I. B. , Kamaeva I. A. , Shakhzadova A. O. , Gurevich K. G. 
Published: January 2024

Introduction. Multiple myeloma (MM) accounts for 1% of all cancers and about 10% of all hematological malignancies. Although there are many types of current therapeutic approaches, MM still remains an incurable disease, which points to the need for improvement of the management of patients with this disease in real-world clinical settings.Aim. To analyze the actual practice of treating Russian patients with multiple myeloma (MM).Materials and methods. A multicenter observational retrospective study was conducted. The final analysis included data from 268 patients with the diagnosis code C 90.0, C90.1, C 90.2, C 90.3 ICD-10, aged ≥ 18 years, treated and monitored in 3 Russian centers.Results. 31.7% of patients had bone and/or extramedullary plasmacytomas. According to Durie Salmon, there were patients with stage III (56.1%) prevailed in ISS - with stage II (41.8%). Cytogenetic studies were performed only in 5.2% of patients. Patients most often encountered diseases of the cardiovascular system (43.3%), kidneys (14.7%), endocrine system (13.1%). The average number of days of hospitalization is about 41.9 days per calendar year. In the first line, 90% of patients received bortezomib-based regimens, 15.8% received high-dose chemotherapy with autologous hematopoietic stem cell transplantation. 66.7% of first-line patients responded to treatment. In the 2nd line, the most commonly prescribed regimen was Rd (lenalidomide with dexamethasone (26.83%), bortezomib-based regimens (24.39%), regimens with the inclusion of new agents (daratumumab, ixazomib, carfilzomib) (17.07%) 40.82% patients responded to treatment.Three-line regimens were dominated by chemotherapy (29.73%) and with the inclusion of new agents (daratumumab, pomalidomide, carfilzomib) (27.03%), 39.3% responded to treatment.Conclusion. Optimization of therapy for patients with MM and the need to improve approaches to the treatment of this disease remains a significant problem in the modern healthcare system. The results of the management and treatment of patients in real practice is of decisive importance for the choice of the most effective methods of therapy.
Autoimmune Hemolytic Anemia in Patients of Non Hodgkin’s Lymphoma
Authors: Zahra Fatima , Rashid Arsala , Zaman Maria , Arshad Amber , Aslam Nabila , Rashid Uzair 
Published: January 2024

The study was conducted to determine the frequency of autoimmune haemolytic anaemia in non-Hodgkin’s lymphomas. A cross sectional study on 100 patients of Non-Hodgkin Lymphoma was conducted in Pathology department, KEMU, Lahore. The mean age among the patients was 50.14 ±17.053 years. The mean haemoglobin was 10.73g/dl ± 2.74 . Out of 100, 88 patients had Coomb’s Test negative and 12 patients had a positive result. Those having a positive coomb’s test showed a higher retic count i.e., 5.05 ± 2.37. The average bilirubin levels in all NHL patients were 0.901 0.995 mg/dL, with a substantially higher mean of 2.15 1.19 mg/dL among patients who tested positive for Coomb's. The LDH levels of those immensely high 764.5 ± 441.Post stratification chi square testing showed no significant relationship was found between autoimmune hemolytic anemia among NHL patients. Age and gender have no significant effect. However, disease stage can be a risk factor. Therefore, it is emphasized that all patients of NHL, regardless of age and gender, must be thoroughly investigated.
Adsorptive removal of Remazol Red (RR) from textile effluents using jute stick charcoal (JSC)
Authors: Uddin Abdullah Nur , Chowdhury Tanvir Ahmed , Rahman Atiqur , Fahim Arifur Rahman , Rahman Anisur , Imon Imam Hossain , Hossen Md. Anwar , Mahmud Hasan 
Published: January 2024

Abstract

The research aims to find out the reusability of jute stick charcoal (JSC) to remove Remazol Red (RR) from textile effluents. The JSC was characterized by scanning electron microscopy (SEM), energy-dispersive X-ray (EDX) spectroscopy, and Fourier-transform infrared (FTIR) spectroscopy to analyze the morphology, functional groups, and chemical composition, respectively. The batch adsorption method was applied in this study, and it disclosed that dye uptake depends on various factors, namely, pH, contact time, adsorbent dose, and dye concentration. Notably, 93.12% of the dye was removed with the best removal efficiency at a pH of 1, an adsorbent dose of 0.6 g, and an equilibrium time of 120 min, where the adsorption occurred rapidly in the first 20 min. The Langmuir isotherm model successfully defined the adsorption phenomena, yielding an R2 value of 0.995. The kinetic experimental data followed the pseudo-second-order model (R2 = 0.999). The optimum adsorption parameters were implemented for the effluent obtained from a dye bath where a fabric sample (5 g) was dyed with RR, and 62.4% dye was removed. For the scaled application of JSC to a wastewater stream, the raw textile effluent was also treated, which resulted in 52.6% of dye removal. These results show that JSC is a promising adsorbent for treating textile wastewater.