bluuebunny/crossref_metadata_2025_split huggingface dataset:
Panobinostat-loaded folate targeted liposomes as a promising drug delivery system for treatment of canine B-cell lymphoma
Authors: André Ana S. , Dias Joana N. R. , Aguiar Sandra I. , Leonardo Ana , Nogueira Sara , Amaral Joana D. , Fernandes Célia , Gano Lurdes , Correia João D. G. , Cavaco Marco , Neves Vera , Correia Jorge , Castanho Miguel , Rodrigues Cecília M. P. , Gaspar Maria Manuela , Tavares Luís , Aires-da-Silva Frederico 
Published: August 2023

IntroductionCancer is a major public health problem with over 19 million cases reported in 2020. Similarly to humans, dogs are also largely affected by cancer, with non-Hodgkin's lymphoma (NHL) among the most common cancers in both species. Comparative medicine has the potential to accelerate the development of new therapeutic options in oncology by leveraging commonalities between diseases affecting both humans and animals. Within this context, in the present study, we investigated the potential of panobinostat (Pan)-loaded folate-targeted PEGylated liposomes (FA-PEG-Pan-Lip) for the treatment of canine B-cell lymphoma, while contributing to new perspectives in comparative oncology.Methods and resultsTwo formulations were developed, namely: PEG-Pan-Lip and FA-PEG-Pan-Lip. Firstly, folate receptor expression in the CLBL-1 canine B-cell lymphoma cell line was assessed. After confirming receptor expression, both Pan-loaded formulations (PEG-Pan-Lip, FA-PEG-Pan-Lip) demonstrated dose-dependent inhibitory effects on CLBL-1 cell proliferation. The FA-PEG-Pan-Lip formulation (IC50 = 10.9 ± 0.03 nM) showed higher cytotoxicity than the non-targeted PEG-Pan-Lip formulation (IC50 = 12.9 ± 0.03 nM) and the free panobinostat (Pan) compound (IC50 = 18.32±0.03 nM). Moreover, mechanistically, both Pan-containing formulations induced acetylation of H3 histone and apoptosis. Flow cytometry and immunofluorescence analysis of intracellular uptake of rhodamine-labeled liposome formulations in CLBL-1 cells confirmed cellular internalization of PEG-Lip and FA-PEG-Lip formulations and higher uptake profile for the latter. Biodistribution studies of both radiolabeled formulations in CD1 and SCID mice revealed a rapid clearance from the major organs and a 1.6-fold enhancement of tumor uptake at 24 h for 111In-FA-PEG-Pan-Lip (2.2 ± 0.1 %ID/g of tumor) compared to 111In-PEG-Pan-Lip formulation (1.2±0.2 %ID/g of tumor).DiscussionIn summary, our results provide new data validating Pan-loaded folate liposomes as a promising targeted drug delivery system for the treatment of canine B-cell lymphoma and open innovative perspectives for comparative oncology.
Identification of Candidate Genes Involved in Bud Growth in Pinus pinaster through Knowledge Transfer from Arabidopsis thaliana Models
Authors: Alvarez José Manuel , Rodríguez Sonia María , Fuente-Maqueda Francisco , Feito Isabel , Ordás Ricardo Javier , Cuesta Candela 
Published: August 2023

Pinus pinaster is a plant species of great ecological and economic importance. Understanding the underlying molecular mechanisms that govern the growth and branching of P. pinaster is crucial for enhancing wood production and improving product quality. In this study, we describe a simple methodology that enables the discovery of candidate genes in Pinus pinaster by transferring existing knowledge from model species like Arabidopsis thaliana and focusing on factors involved in plant growth, including hormonal and non-hormonal pathways. Through comparative analysis, we investigated the main genes associated with these growth-related factors in A. thaliana. Subsequently, we identified putative homologous sequences in P. pinaster and assessed the conservation of their functional domains. In this manner, we can exclude sequences that, despite displaying high homology, lack functional domains. Finally, we took an initial approach to their validation by examining the expression levels of these genes in P. pinaster trees exhibiting contrasting growth patterns. This methodology allowed the identification of 26 candidate genes in P. pinaster. Our findings revealed differential expression patterns of key genes, such as NCED3, NRT1.2, PIN1, PP2A, ARF7, MAX1, MAX2, GID1, AHK4, AHP1, and STP1, in relation to the different growth patterns analyzed. This study provides a methodological foundation for further exploration of these genes involved in the growth and branching processes of P. pinaster. This will contribute to the understanding of this important tree species and open new avenues for enhancing its utilization in sustainable forestry practices.
Compensatory Base Changes in ITS2 Secondary Structure Alignment, Modelling, and Molecular Phylogeny: An Integrated Approach to Improve Species Delimitation in Tulasnella (Basidiomycota)
Authors: Jiménez-Gaona Yuliana , Vivanco-Galván Oscar , Cruz Darío , Armijos-Carrión Angelo , Suárez Juan Pablo 
Published: August 2023

Background: The delimitation of species of Tulasnella has been extensively studied, mainly at the morphological (sexual and asexual states) and molecular levels—showing ambiguity between them. An integrative species concept that includes characteristics such as molecular, ecology, morphology, and other information is crucial for species delimitation in complex groups such as Tulasnella. Objectives: The aim of this study is to test evolutionary relationships using a combination of alignment-based and alignment-free distance matrices as an alternative molecular tool to traditional methods, and to consider the secondary structures and CBCs from ITS2 (internal transcribed spacer) sequences for species delimitation in Tulasnella. Methodology: Three phylogenetic approaches were plotted: (i) alignment-based, (ii) alignment-free, and (iii) a combination of both distance matrices using the DISTATIS and pvclust libraries from an R package. Finally, the secondary structure consensus was modeled by Mfold, and a CBC analysis was obtained to complement the species delimitation using 4Sale. Results and Conclusions: The phylogenetic tree results showed delimited monophyletic clades in Tulasnella spp., where all 142 Tulasnella sequences were divided into two main clades A and B and assigned to seven species (T. asymmetrica, T. andina, T. eichleriana ECU6, T. eichleriana ECU4 T. pinicola, T. violea), supported by bootstrap values from 72% to 100%. From the 2D secondary structure alignment, three types of consensus models with helices and loops were obtained. Thus, T. albida belongs to type I; T. eichleriana, T. tomaculum, and T. violea belong to type II; and T. asymmetrica, T. andina, T. pinicola, and T. spp. (GER) belong to type III; each type contains four to six domains, with nine CBCs among these that corroborate different species.
Spatiotemporal Patterns of Heavy-Metal Pollution in Coastal Pinqing Lagoon (Southern China): Anthropogenic and Hydrological Effect
Authors: Huang Guoyao , Dong Xuhui , Xian Hanbiao , Xu Weijian , Yang Hanfei , Zhang Yuewei , Kattel Giri 
Published: August 2023

Coastal lagoons connecting the land and sea provide essential ecosystem services. However, emerging environmental issues such as environmental pollution and ecological degradation from rapid socio-economic development in coastal zones of south China are becoming increasingly prevalent. This study examined the spatiotemporal variation, sources, assessments, and driving forces of heavy metals based on core and surface sediments collected from Pinqing Lagoon, a coastal lagoon in South China. Sediment cores (PQ1, PQ2, and PQ3) showed distinct vertical variations in the content of Cu, Cd, Zn, Pb, As, and Sb with an average coefficient of variation (C.V.) of 0.25. However, a relatively lower vertical variation (C.V. mean = 0.13) was shown by the other elements (Mn, V, Ni, Cr, and Co). Although Cu was the chief pollutant heavy metal and it had mean values of 1.6 and 1.7 for the enrichment factor (EF) and contamination factor (CF), respectively, Cd posed the highest ecological risk (Eri mean = 36.34). A century-scale anthropogenic disturbance and growing industrial activities in the lagoon area have caused heavy-metal pollution in Pinqing Lagoon. Wastewater discharge into the lagoon over the past 30 years has further aggravated the pollution. The land-use pattern changes in the catchment and removal of polluting industries resulted in a shift in the center of gravity of heavy-metal pollution in the surface sediment of the lagoon. When integrated with the available data, significant pollution gradients were observed suggesting that the pollution level of Pinqing Lagoon was slightly higher than the marginal sea (Honghai Bay) but significantly lower than the adjacent inland water bodies (Gongping and Chisha Reservoirs). This difference attributes unique hydrodynamic conditions to the Pinqing Lagoon, which consistently mitigates environmental pollution by lying at the interface between inland water and the coastal sea in South China. These conditions resulted in the relatively low contamination degree (CD mean = 7.5) and the low ecological risk index (RI mean = 70) over the past 150 years in Pinqing Lagoon.
Pemanfaatan Knowledge Management System (KMS) untuk pengolahan kripik pisang pada UMKM desa Karangasem Kec. Talun Kab. Pekalongan Jawa Tengah
Authors: Fanani M. Rudi , Rizaludin Muhamad , Hidayat Husni 
Published: August 2023

Knowledge Management System (KMS) berbasis teknologi informasi dilakukan sebagai upaya terstruktur dalam mengembangkan pengetahuan untuk meningkatkan kinerja organisasi dan mencapai tujuan yang ditetapkan. Efektivitas Knowledge Management System merupakan persoalan mendasar dalam setiap organisasi . Knowledge Management System telah diakui sebagai instrumen yang efektif untuk meningkatkan kinerja dan produktivitas suatu organisasi termasuk di bidang UMKM. Berbagai kegiatan dilaksanakan dalam mengelola UMKM salah satunya dalam penerimaan bahan baku usaha yang akan diproduksi dan penyediaan stok barang. Tidak adanya wadah dalam mendokumentasikan dan mendistribusikan jejak pengetahuan yang relevan untuk pengembangan UMKM kepada pihak terkait menjadi akar permasalahan, Banyak pelaku UMKM sulit mengakses atau mendapatkan informasi mengenai bahan baku yang digunakan dan stok yang dibutuhkan.
Kendala yang terjadi berkenaan dengan implementasi Knowledge Management System UMKM adalah belum ada teknologi informasi sebagai media yang digunakan untuk mengakses hal tersebut. Hal ini mengakibatkan pertukaran pengetahuan dan penyimpanan aset pengetahuan belum terkelola dengan baik. implementasi KMS dibuat mengikuti model Sosialisasi, Eksternalisasi, Kombinasi, dan Internalisasi yang dinamakan model SECI. Pengumpulan data dilakukan pada beberapa pelaku UMKM yang ada di desa Karangasem Kec. Talun salah satunya usaha Kripik Pisang. Hasil dari kegiatan pengabdian masyarakat ini terbentuknya KMS yang dapat digunakan untuk penentuan bahan baku dan stok selanjutnya berdasarkan pengelolaan pengetahuan yang berguna dalam menyelesaikan kendala yang terjadi.
Komputerisasi Akuntansi Pengendalian Bahan Baku Berbasis Vb.Net Pada PT. Unicharm Indonesia
Authors: Widyaningsih Winda , Indaryono Indaryono , Tjandra Evelyn 
Published: August 2023

Salah satu kegiatan yang paling penting bagi perusahan dalam menjalankan operasionalnya adalah pengelolaan persedian bahan baku yang sesuai dengan kebutuhan produksi. Proses pengadaan bahan baku dengan cepat dan akuratdan ketersediaannya sangat menunjang kelancaran proses produksi. Penelitian ini bertujuan untuk merancang aplikasi pengendalian bahan baku PT. Unicharm Indonesia Metode penelitian yang digunakan untuk menyelesaikan maslah adalah dengan menggunakan metode analisa sistem dan metode perancangan sistem. Metode analisa sistem terdiri dari: Identifikasi struktur, organisasi, Identifikasi sistem yang berjalan, Identifikasi permasalahan yang terjadi, Perumusan solusi. Sedangkan metode perancangan sistem terdiri : Rancangan masukan dan keluaran, rancangan peroses terdiri dari: DFD, Kamus data dan ERD, dan rancangan DataBase. Hasil penelitian ini adalah aplikasi pengendalian bahan baku pada PT. Unicharm Indonesia berbasis VB.NET serta memberikan rekomendasi dalam mengelola bahan baku agar lebih efektif dan efisien.
Total Rejection Sampling and the Reduction of the Wave Function
Authors: kermiche noureddine 
Published: August 2023

<p> We propose an exact new sampling algorithm using classical statistical theory. The algorithm is powered by white noise and non-local information. The proposed method will process an infinite number of rejected samples in parallel before accepting one exact single sample from a target distribution using an optimization mechanism. The algorithm is applied to sampling from general distributions in addition to sampling from the wave function density distribution which lies at the heart of the measurement problem in quantum physics. </p>
SatNet: A Low-Cost, Neural-Network based Algorithm Utilizing Publicly Available Data for Disease Hotspot Detection
Authors: Sandhu Parkirat 
Published: August 2023

<p>The rapid spread of infectious diseases poses a significant global health challenge, requiring timely and accurate detection for effective intervention. Traditional disease detection services, such as the Centers for Disease Control and Prevention (CDC) and the World Health Organization (WHO), play a crucial role in monitoring and responding to outbreaks. However, these services are largely inaccessible to people around the world due to their high costs and resource-intensive processes because they often rely on expensive sources of data. Fortunately, satellite images are a great alternative source of data as modern satellites can provide detailed images which clearly display a region’s financial status and pollution levels: two key metrics in potential disease outbreaks. Therefore, this study aimed on developing a more affordable algorithm (SatNet) that utilizes publicly available satellite imagery to perform disease hotspot detection. The algorithm works by retrieving zoomed-in satellite images of the city inputted by the user and feeding these images into a novel, hybrid recursive convolutional neural network. This model, designed to classify regions within the images as low income, high-income, or industrial areas, was trained and tested on a custom data set consisting of 7,448 images and was able to achieve a 94.872 training accuracy and 84.183 testing accuracy. The output of this model is then used to create a detailed heatmap for the city which clearly indicates the specific regions in most danger of disease outbreaks. Overall, the affordability and accessibility of SatNet will allow governments/organizations around the world to provide their people with the healthcare they need and significantly reduce the spread of diseases in an increasingly interconnected world. </p>
Sales Forecasting Based on Ensemble Learning
Authors: Alice Dr K. , Andrabi Syed Hamad ul Haq , Jha Shambhavi 
Published: August 2023

<p>Sales forecasting is the process of estimating future sales revenue for a given time period. It is an essential business function that helps organizations make informed decisions about future investments, production planning, and resource allocation. Sales forecasting is a vital process for businesses that want to plan, budget, invest, evaluate performance, and gain a competitive advantage It's important to note that some degree of uncertainty is always present and no algorithm can work perfectly for sales forecasting. However, by using a combination of methods and regularly reviewing and adjusting forecasts, organizations can make more accurate sales predictions and make better-informed business decisions. </p>
<p><br></p>
<p> Our goal through this project is to compare performance of various models for sales forecasting and also try out an ensemble approach as well to see if the efficiency and accuracy of the model can be get better as compared to the singular models. For a dataset of the size of the Walmart data set, it is very important to choose the best algorithm which not only shows accuracy but efficiency as well. There are various machine learning models that can be used for sales prediction, including linear regression, decision trees, random forests, gradient boosting, neural networks, and support vector machines. We need to consider the strengths and weaknesses of each model and select the one that best fits the characteristics of the data and the problem we want to solve. </p>
<p><br></p>
<p>The models that will be implementing for this study are XGBoost, LGBM and Catboost. These are gradient boosting models and extremely suitable for large datasets with regression which use regression techniques. Catboost uses symmetric trees while XGBoost and LGBM use asymmetric trees where XGBoost grows level wise and LGBM grows leaf wise. All three models have their own advantages which we need to utilize and see how much better the accuracy can be made. Among the three XGBoost has the advantage of flexibility and scalability, and can also be customized to fit the best hyper parameters. LGBM is the best when it comes to memory efficiency as well as the overall efficiency of the model. However we expect CatBoost which is a special version of GBDT to have the overall best accuracy. The performance of a machine learning model must be evaluated using appropriate metrics such as mean absolute error, mean squared error, root mean squared error, R-squared, and others. To utilize all the models and to try to reach the full potential of each model we will also implement a hybrid ensemble model in the form of a voting regressor. This helps remove any biases that the individual models may have and to enhance the overall performance of the model. For the voting regressor we will be using MAE values of each model to assign scores. </p>
Analisis Kebutuhan Pengembangan Media Komik Digital Penerapan Sila Pancasila Berbasis Masalah Dalam Pembelajaran PPKn Sekolah Dasar
Authors: Akbar Mohamad Sabda Fariz , Satibi Otib , Hasanah Uswatun 
Published: August 2023

Penting nya pendidikan Pancasila sebagai literasi moral pada anak sekolah dasar di era revolusi industri 4.0 menjadi hal yang semakin di upayakan penerapannya. Meninjau dari data-data yang mem posisikan Indonesia sebagai negara dengan kategori negatif, hal ini cukup men deskripsikan kondisi psikologis warga Indonesia cenderung mengalami penurunan moral atau degradasi moral. Beberapa faktor yang dapat berpengaruh positif dalam kegiatan belajar anak, khususnya SD salah satunya adalah penggunaan media pembelajaran. Media pembelajaran yang akan digunakan untuk menumbuhkan motivasi dan minat belajar anak adalah media pembelajaran komik digital. Komik digital yang akan saya buat berbeda dengan komik digital yang umum beredar, selain menampilkan gambar, saya juga akan menambahkan beberapa fitur audio sebagai pengisi beberapa dialog atau sebagai efek suara bagian cerita. Tujuan analisis kebutuhan media ini adalah hanya untuk memahami media yang biasanya digunakan oleh guru/pendidik pada saat pembelajaran PPKn khusus nya materi sila-sila Pancasila. Penelitian analisis kebutuhan ini termasuk ke dalam penelitian survei dengan cara pengumpulan data melalui kuesioner dan wawancara yang di kategorikan sesuai kebutuhan sasaran. Diperolah hasil penelitian bahwa penggunaan tingkat ketertarikan anak terhadap media komik digital sebesar 94%, penggunaan media komik sebesar 75%, dan tanggapan positif hadir nya komik dalam pembelajaran PPKn sebesar 97%.
Analisis Kepuasan Mutu Pelayanan Imunisasi DPT di Wilayah Puskesmas Punti Kayu Palembang
Authors: Selvi Selvi septiyah ningsih , Chairil Zaman,  , Ali Harokan  
Published: August 2023

World Health Organization dan United Nations International Children's Emergency Fund menyebutkan setiap tahunnya 2,6 juta bayi diseluruh dunia tidak mampu bertahan hidup selama lebih dari satu bulan. Satu juta di antaranya meninggal saat lahir. Indonesia setiap usia 0-11 bulan diwajibkan mendapatkan imunisasi dasar lengkap salah satunya DPT. Penelitian ini bertujuan diketahuinya analisis kepuasan mutu pelayanan imunisasi DPT di wilayah Puskesmas Punti Kayu Palembang tahun 2022. Dilaksanakan pada Mei - Juni 2022. Penelitian ini kuantitatif dengan desain cross sectional, populasi penelitian ini adalah jumlah kunjungan imunisasi di wilayah Puskesmas Punti Kayu Kota Palembang sebanyak 88 sampel. Pengumpulan dan pengambilan data menggunakan kuesioner. Hasil uji statistik mengunakan uji Chi-Square dan regresi logistik berganda dimana hasilnya menunjukkan ada hubungan bermakna (p value < 0,05) untuk variabel umur (0,040), pekerjaan (0,022), pengetahuan (0,003), sikap (0,041), dan peran petugas kesehatan (0,001). Tidak ada hubungan variabel jenis kelamin (0,302), pendidikan (0,302), dan penghasilan (0,104). Dari hasil uji statistik multivariat diperoleh faktor dominan adalah peran petugas kesehatan (p= 0,001; OR= 42.243). Diharapakan kepada tenaga kesehatan di wilayah Puskesmas Punti Kayu Palembang untuk selalu memberikan promosi kesehatan bagi ibu pasca melahirkan tentang imunisasi dasar lengkap khususnya DPT.
Contribution of Indian Music Towards the Social and Cultural Development After the Independence of India
Authors: - Pravin Radhakrishna Alshi 
Published: August 2023

Music is as old as our civilization. The presence of music / dance in Indus Valley Civilization is evident from some musical instruments, such as the arched or bow-shaped harp and few varieties of drums on terracotta figures and pictographs on the seals. Further, the dancing girl figurine is a testimony to this. However, what kind of music or dance was prevalent that time, we are totally ignorant about it.
•	Music in Vedic Era
•	Origin of Sargam
•	Music in Maurya Era – Buddhist and Jain Sources
•	Later Development of Indian Music
•	Brihaddeshi
•	Influence of Islam
•	Impact of Bhakti Movement
•	Mughal Era
•	19th century
•	20th century
•	Modern trends in Indian classical music
DR .B.R Ambedkar’s Role in Women Empowerment
Authors: - Dr. Sunanda S Shirur 
Published: August 2023

Dr. B.R Ambedkar strongly believed that women empowerment can be achieved by welfare of women. The activities of empowering women worldwide should follow the vision of Dr. B.R Ambedkar.He spent his entire life for the betterment of women, he fought against unjust and inhumane practices like child marriage, devdasi system and advocated family planning. Today!s women are trapped in the circle of insecurity, male domination, lack of awareness about her rights and no decision making powers. He had a humanitarianism view and frequently raised his voice against all sort of injustice towards women prevalent in india