bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of mitochondrial genes in the prognosis of ovarian cancer: new insights from bioinformatics
Authors: Liu Liu , Lei Yanhu , Chen Anji , Wan Jinlong 
Published: August 2024

Abstract

Background Ovarian cancer is a common gynecological malignancy leading to female mortality. Although the existing means of treatment for ovarian cancer are effective, the diagnosis and prognosis of ovarian cancer need to be further explored due to its highly heterogeneous nature.Methods We screened differential genes in ovarian cancer by TCGA database and GEO database, and further screened mitochondria-related genes (MRGs) in ovarian cancer by overlapping differential genes with mitochondrial genes, and analyzed the enrichment. Kaplan-Meier (KM) survival analysis and univariate and multivariate Cox regression analyses were used to validate the prognosis of the genes, and gene set enrichment analysis (GSEA) was performed to elucidate the molecular mechanisms of risk scores. In addition, the correlation between the eight MRGs and immune status was evaluated. Finally, drug sensitivity analysis was performed by CellMiner database.Results In our study, eight MRGs in ovarian cancer were screened and a prognostic risk model was constructed. The accuracy of the prognostic model was verified by combining the ROC curve and differential protein expression. Furthermore, MRGs are widely expressed in immune cells infiltrating in the tumor microenvironment and are significantly correlated with immune processes. In addition, GSEA enrichment analysis showed that metabolism and immune signaling and other related pathways were significantly different in high- and low-risk patients. Finally, drug susceptibility testing screened out 24 drugs that may play a role in treating OC by targeting the above-mentioned risk MRGs.Conclusion These findings reveal key mitochondrial genes affecting OC, as well as interactions with the immune microenvironment. In addition, the prognostic model established based on MRGs provides a potential prognostic strategy and provides new ideas for the diagnosis, prognosis and treatment of OC.
β-catenin is a potential prognostic biomarker in uterine sarcoma
Authors: Cai Ying , Wang Yunjia , Yang Ling , Huang Yue , Chen Min-Jun , Zhang Chi , Jin Su-Han , Frey Benjamin , Gaipl Udo S , Ma Hu , Zhou Jian-Guo 
Published: August 2024

Abstract

Background: Uterine sarcoma (US) is an extremely rare and aggressive gynecologic malignancy with a poor overall survival (OS). The early screening and diagnosis of uterine sarcoma is still challenging, while efficient prognostic biomarker is currently lacking. In this study, we evaluated the expression of β-catenin in different US subtypes and the relationship between survival and clinicopathological characteristics by comparative analyses, then explored potential molecular mechanisms.
Methods: We evaluated the expression of β-catenin in different US subtypes and the relationship between survival and clinicopathological characteristics by comparative analyses. Utilizing a Sweden microarray dataset (GSE119043, n=50) and a Suining clinical cohort (n=31), we analyzed β-catenin expression profiles and corresponding clinicopathological characteristics. To assess the expression level of β-catenin in US subtypes, we conducted immunohistochemistry (IHC). Survival analysis was used to assess the relationship between β-catenin expression and prognosis in US patients. Gene set enrichment analysis (GSEA) was performed to characterize the specific pathways involved in the β-catenin expression.
Results: Immunohistochemistry indicated that the expression level of β-catenin significantly upregulated in the uterine sarcoma (US) group compared to both the normal uterine smooth muscle (UNSM) and uterine leiomyoma (ULM) groups (P<0.05). IHC also exhibited a significant difference in β-catenin expression levels in four pathological subtypes. Leiomyosarcoma (LMS) and high-grade endometrial stromal sarcoma (HG-ESS) suggested higher levels of β-catenin expression compared with adenosarcoma (AS) or low-grade endometrial stromal sarcoma (LG-ESS), but no statistically significant difference was found in box plot. Survival analysis showed that no significance between β-catenin expression levels and survival. Only tumor recurrence was significantly correlated with poor survival. Tumor type, lymphadenectomy, family history of malignancy and tumor recurrence remained significant predictors of overall survival (OS), while only tumor stage and tumor recurrence had prognostic significance for progression-free survival (PFS). Age, tumor size, menopausal status, CA125, adjuvant chemotherapy, and adjuvant radiotherapy, were not associated with survival (P>0.05). GSEA indicated that transcriptional misregulation in cancer, Wnt, AMPK, MAPK, PI3K, p53, Ras, and TNF signaling pathway were positively enriched in β-catenin high-expression group.
Conclusion: β-catenin was highly expressed in uterine sarcoma and promising as a novel potential biomarker for diagnosis and prognosis.
Customizing designer cellulosomes for the valorization of industrially relevant substrates
Authors: Lamote Babette , Vanderstraeten Julie , De Ridder Nette , Meert Kenan , Boerjan Wout , Briers Yves 
Published: August 2024

Abstract

Background
Designer cellulosomes (DCs) are engineered multi-enzyme complexes that exhibit high potential to be applied in the biomass-to-liquid process of biorefineries. Their architecture allows to bring a high load of enzymes with various catalytic activities in close proximity to each other and to the substrate, which may result in enhanced depolymerization efficiencies compared to freely acting enzymes. As such, DCs have often been proposed as an elegant alternative to (hemi)-cellulolytic enzyme cocktails. However, the practical use of DCs in industrial contexts remains elusive. This can partially be attributed to lacking knowledge about the reaction conditions wherein DCs may offer an added benefit. Therefore, we customized a DC for the efficient saccharification of relevant industrial substrates. These substrates are in great contrast with the conventional pure substrates frequently used in lab environments and are envisioned to provide us with a better understanding of DC behavior on complex lignocellulosic material.
Results
In this work, a DC possessing endoglucanase, cellobiohydrolase, β-glucosidase and endoxylanase activity was developed. For this, multiple enzymes originating from Cellvibrio japonicus, known as a true carbohydrate-bioconversion specialist, were converted to docking enzymes. After a three-faceted selection process of optimal docking enzyme configurations, selected variants were colocalized on a common scaffoldin to finally construct a tetravalent DC. This DC successfully released glucose from agro-industrial wheat fibers and genome-edited low-lignin poplar biomass, representing two main feedstock types of a circular bioeconomy. Comparing saccharification efficiencies of the enzyme systems in their free and complexed form allowed us to outline reaction conditions wherein enzyme colocalization may boost synergism. In fact, the evaluation of DC behavior on recalcitrant lignocellulosic substrates revealed that the effect of colocalization depends on the specific substrate used and is most outspoken under conditions that mimic the natural environment of biomass degradation, deviating from typical industrial settings.
Conclusion
DCs were explored for their industrial applicability, in order to map possible processes where they could offer an added benefit. We anticipate this work to contribute to the broader insights we need to investigate the economic viability of DCs.
Pengaruh Penggunaan Feses Domba, Feses Sapi dan Blotong Tebu Sebagai Media Hidup Terhadap Populasi, Bobot Badan, Konsumsi dan Konversi Pakan pada Cacing Tanah Eudrilus Eugeniae
Authors: Kurniawan Surya Aji , Cholis Nur 
Published: August 2024

Tujuan penelitian ini adalah untuk mengetahui pengaruh penggunaan limbah feses domba, feses sapi dan limbah blotong tebu sebagai media terhadap populasi, bobot badan, konsumsi dan konversi pakan pada cacing tanah Eudrilus eugeniae, serta untuk mendapatkan penggunaan media yang terbaik untuk pertumbuhan cacing tanah Eudrilus eugeniae. Materi penelitian yang digunakan yaitu menggunakan cacing tanah berjenis Eudrilus eugeniae sebanyak 50 ekor/media dengan umur sekitar 2 bulan. Metode penelitian yang digunakan adalah menggunakan metode percobaan eksperimental kuantitatif dengan percobaan RAL yang menggunakan 4 perlakuan dan 5 ulangan. Setiap perlakuan menggunakan campuran limbah dengan perlakuan P0 (Kascing 100%), P1 (Kascing 25% + Feses Domba 75%),Â P2 (Kascing + Feses Sapi 75%) dan P3 (Kascing 25% + Blotong Tebu 75%). Variabel yang diamati meliputi pertambahan populasi, bobot badan, konsumsi dan konversi pakan cacing tanah Eudrilus eugeniae. Data dianalisis dengan menggunakan ANOVA dan bila terdapat perbedaan nyata dilanjutkan dengan DMRT. Hasil penelitian menunjukkan bahwa penggunaan media hidup berpengaruh sangat nyata (P<0,01) pada cacing tanah Eudrilus eugeniae terhadap pertambahan populasi pada perlakuan P2: 2.1 ekor/hari, bobot badan pada perlakuan P2: 0.37 g/hari, konsumsi pakan P3: 817.6 g . Sedangkan konversi pakan cacing tanah Eudrilus eugeniae menunjukkan tidak berpengaruh nyata (P>0,05). Media hidup terbaik untuk pertumbuhan cacing tanah Eudrilus eugeniae yaitu penggunaan feses sapi sebagai media hidup yang terlihat pada hasil pertambahan populasi dan bobot badan tertinggi. Berdasarkan hasil penelitian, saran yang diberikan adalah penggunaan feses sapi disarankan sebagai media hidup yang digunakan dalam budidaya cacing tanah yang dapat memberikan populasi dan bobot badan yang tinggi.
The possibility of unifying neural interfaces to create an integrated control system for prostheses: a brief review
Authors: Samandari A. M. , Afonin A. N. 
Published: August 2024

The purpose of research. To date, neurointerfaces have not been unified to create combined prosthetic control systems. Based on this, this review is aimed at understanding the possibility of integrating neurointerfaces by clarifying the advantages and disadvantages of neurotechnologies related to prosthetics and the possible creation of a combined prosthesis control system.Methods. Analysis of brain-computer interfaces available in the literature in combination with neuroimaging experiments, especially in a hybrid system. A number of databases of scientific literature were used for the analysis, namely Google Scholar, scopus, etc. Links to the database data on the Internet: https://scholar.google.com/, https://www.mdpi.com/journal/sensors, elibrary.ru, https://www.refseek.com, https://link.springer.com/, https://www.base-search.netResults. Brain-computer interfaces are currently being used in a wide variety of fields, including to improve the lives of people with disabilities. However, individual neural interfaces have certain disadvantages that make it difficult to use them to control mechanical devices, including prosthetic limbs. Hybrid neural interface systems (as an integrated software and hardware complex) are significantly superior to those obtained using separate neural interfaces, and these systems can be used for medical purposes.Conclusion. This review provides a brief overview of the disability of people with missing upper limbs and how to improve their lives with prosthetics. The analysis of various hybrid methods of brain research is given. It can be noted that fNIRS technology is the closest technology that can facilitate the integration of neural interfaces, since it has advantages that make it a tool that complements other technologies, its advantages make up for the inherent disadvantages of fNIRS. It has been established that the hybrid system provides a clear advantage over individual neural interfaces.
Chain conditions on non-parallel submodules
Authors: Shirali Nasrin , Maschizadeh Mohammad , Javdannezhad Sayed Malek 
Published: August 2024

In this paper, we investigate modules with ascending and descending chain conditions on non-parallel submodules. We call these modules np-Noetherian and np-Artinian respectively, and give structure theorems for them. It is proved that any np-Artinian module is either atomic or finitely embedded. Also, we give a sufficient condition for np-Noetherian (resp., np-Artinian) modules to be Noetherian (resp., Artinian).
We study ascending (resp., descending) chain	condition up to isomorphism on non-parallel submodules as npi-Noetherian (resp., npi-Artinian) modules and characterize these modules. It is shown that any npi-Noetherian module has finite type dimension. Next, we investigate some properties of semiprime right np-Artinian (resp., npi-Artinian) rings.
In particular, it is proved that if $ R $ semiprime ring such that $ J(R) $ is not atomic, then $ R $ is right np-Artinian if and only if it is semisimple.
Further, it is shown that if $ R $ is a semiprime right npi-Artinian ring, then either $ Z(R) $ is atomic or $ R $ is right non-singular. Finally, we investigate when np-Artinian (resp., np-Noetherian) rings and ne-Artinian (resp., ne-Noetherian) rings coincide.
Evaluation of Dissolution Release Profiles of Nicotine and Three Distinct Flavor Markers in Loose Moist Smokeless Tobacco Products
Authors: Aldeek Fadi , Miller John H. , Danielson Tim 
Published: August 2024

Summary
This study describes the dissolution release profiles of nicotine and flavor markers from three loose moist smoke-less tobacco (MST) products, same brand, each made with a distinct flavor. The US Pharmacopeia flow-through cell dissolution apparatus 4 (USP-4) was employed, following a previously published method that was validated to study the nicotine release from MST products. Herein, we expanded the scope of the analytical method by incorporating three flavor markers including methyl salicylate, ethyl salicylate, and glycyrrhizic acid to provide an understanding of the dissolution release profiles of not only nicotine but also of flavor markers. The dissolution release profiles of nicotine were found to be equivalent across all three tobacco products. In contrast, the release profiles of the studied flavor markers exhibited distinct differences, primarily influenced by their chemical properties, particularly polarity. Notably, glycyrrhizic acid demonstrated the most rapid release rate, while ethyl salicylate exhibited the slowest release rate. This study serves as a valuable resource for researchers, manufacturers, and regulatory bodies involved in the evaluation of MST products attributes and performance.
Parametric model of a hose cable using Siemens NX
Authors: Шевченко Д.С. 
Published: August 2024

Шлангокабель является одним из ключевых средств управления, например, в системе подводной добычи нефти и газа. Его можно рассматривать как индивидуальный продукт, связанный с конкретными параметрами вариантов использования, например, место установки. В этой статье применяется метод расчета надежности шлангокабеля с помощью усовершенствованного метода второго момента первого порядка (AFOSM) и метода Монте-Карло. Обсуждаются преимущества и текущие ограничения внедрения подхода проектирования на основе знаний (KBE), который, в свою очередь, дает возможность для создания различных конфигураций и вариантов продукта, для интеграции моделей САПР, дополненных функцией автоматического расчета. Даются рекомендации по будущим исследованиям метода KBE при проектировании изделий. В статье демонстрируется использование Siemens NX и его структуры для представления инженерных знаний под названием Knowledge Fusion (KF) для создания параметрической модели конструкции шлангокабеля с учетом ее надежности с целью улучшения процесса проектирования сечения. Раскрываются преимущества внедрения подхода KBE для интеграции моделей САПР, дополненных автоматическими расчетами для обеспечения надежности продукта, предлагаются варианты расширения работы для рассмотрения более сложных инженерных процессов.
Hose cable is one of the key management tools, for example in a subsea oil and gas production system. It can be considered as a customized product related to specific parameters of use cases, such as installation location. This paper applies a method to calculate the reliability of the hose cable using the Advanced First Order Second Moment Method (AFOSM) and Monte Carlo method. The advantages and current limitations of adopting a knowledge-based engineering (KBE) approach are discussed, which in turn enables the creation of different product configurations and variants, for the integration of CAD models augmented with an automatic calculation function. Recommendations are made for future research into the KBE method of product design. The paper demonstrates the use of Siemens NX and its framework for representing engineering knowledge called Knowledge Fusion (KF) to create a reliability-aware parametric model of a hose cable design to improve the sectional design process. The benefits of adopting a KBE approach to integrate CAD models augmented with automatic calculations to ensure product reliability are disclosed, and options for extending the work to consider more complex engineering processes are proposed.
THE EFFECT OF AGE ON THE PERFORMANCE OF MEMBERS OF THE PARLIAMENT OF THE KURDISTAN REGION OF IRAQ, 1992-2022
Authors: Sadoon Hajar , Abdulrahman Mohammed 
Published: August 2024

The biological age of Human beings influences the activities and tasks assigned to each person. Additionally, age plays a significant role in the performance of parliaments. Within this framework, the age of parliamentarians is closely linked with parliamentary performance in multiple ways; experience and skills, true representation, knowledge, and physical and technical abilities. Most parliaments in democratic societies have two primary functions: legislation and oversight, and the age of parliamentarians directly impacts the fulfillment of these two functions. Parliament is one of the most important institutions in the political system of any democratic state. Therefore, it is essential to identify which age group is the most effective and efficient to perform the tasks assigned to members of the parliament.This research focuses on the five parliamentary terms of the Iraqi Kurdistan parliament from 1992 when the first election took place until 2022. During this period, five elections have been conducted in the Kurdistan Region of Iraq. Moreover, all three aforementioned age groups have been elected in a variety of numbers in those parliamentary terms. By examining the composition of all five terms of the Iraqi Kurdistan parliament in terms of the age group of parliamentarians, this research aims to identify which age group is the most active and efficient in terms of execution of essential parliamentary functions. By comparing data from all five parliamentary terms of the Iraqi Kurdistan parliament with a special focus on the fifth parliamentary term elected in 2018, this research hypothesizes that the Middle Age group of parliamentarians has been the most effective and efficient in the parliament of the Iraqi Kurdistan Region throughout its existence.
Identificação e classificação de episódios de chuva extrema no Distrito Federal – período 1990-2019
Authors: De Almeida Silva Alícia , Rodrigues da Franca Rafael 
Published: August 2024

O objetivo deste artigo é analisar a ocorrência de episódios de chuvas extremas na série histórica de precipitação pluvial referente ao período 1990-2019 no Distrito Federal. Empregou-se o limiar de 0,1 mm/diário para identificação dos episódios de chuva, que foram classificados nas seguintes classes: 0,1 a 2,5 mm – chuvisco; 5 a 10,0 mm – chuva fraca; 10,0 a 15,0 mm – chuva moderada; 15,0 a 25,0 mm – chuva relativamente forte; 25,0 a 50,0 mm – chuva forte; 50,0 mm – chuva extrema. Também foi aplicada metodologia do Percentil 99 para identificação dos episódios de chuva mais extremos da série. Obteve-se o valor total de 3.988 casos de precipitação pluvial, tornando-se possível fazer a identificação de 27 casos de eventos pluviométricos extremos no DF. Desse total, registrou-se 10 casos na década de 1990, nos anos 2000 registrou-se 8 casos e a partir de 2010 houve 9 casos. Os dados e as informações geradas no presente artigo tornam-se capazes de fornecer referências confiáveis para reflexão e ação dos órgãos governamentais, da sociedade civil e organizações autônomas acerca dos possíveis desastres naturais causados por chuvas intensas no DF.
Analisis Komparatif Berbagai Teori Karakteristik Proses Pendekatan Anak dengan Tujuan Seksual untuk Mendeteksi Percakapan Teks
Authors: Ashianti Livia , Idananta Kanyadian 
Published: August 2024

Teknologi internet sering disalahgunakan untuk tindakan kriminal, salah satunya adalah proses pendekatan anak untuk tujuan seksual secara online. Dalam melakukan tindakannya, pelaku melakukan pendekatan kepada korban dengan menggunakan teknologi internet. percakapan teks menjadi bukti kejahatannya. Studi sebelumnya menunjukkan bahwa teori karakteristik dapat menentukan tingkat akurasi dalam mendeteksi percakapan teks yang berisi proses pendekatan tersebut. Penelitian ini akan melakukan uji coba menggunakan teori karakteristik yang berbeda untuk mendapatkan teori karakteristik terbaik untuk mendeteksi percakapan teks mengandung proses pendekatan dengan tujuan seksual. Karakteristik tersebut akan digunakan untuk ekstraksi fitur percakapan teks. Kemudian diklasifikasikan menggunakan metode Support Vector Machine (SVM). Hasil penelitian menunjukkan bahwa penggunaan jumlah karakteristik yang berbeda berdampak pada tingkat akurasinya. Namun, menggabungkan 2 teori karakteristik berbeda menghasilkan tingkat akurasi yang lebih baik.
Komparasi Algoritma Support Vector Machine Dan Naïve Bayes Berbasis Particle Swarm Optimization Pada Analisis Sentimen Ulasan Aplikasi Flip
Authors: Irnawati Oky , Solecha Kusmayanti 
Published: August 2024

Pengembangan aplikasi dapat dilakukan dengan melihat masukan pengguna aplikasi yang diberikan melalui google play store. Klasifikasi sentimen analisis dapat memecahkan masalah yang berkaitan dengan pendapat, pandangan, perasaan, dan perilaku melalui studi komputasi. Salah satu algoritma terbaik dalam klasifikasi adalah SVM karena paling efisien dan efektif mengidentifikasi pola. Namun SVM masih memiliki kekurangan dalam pemilihan fitur. Penentuan fitur menentukan hasil akurasi, PSO digunakan untuk menentukan fungsi seleksi untuk meningkatkan akurasi klasifikasi pada SVM dan Naive Bayes. Metode klasifikasi yang dibahas dalam penelitian ini adalah membandingkan Algoritma Naive Bayes berbasis PSO yang telah penulis buat pada penelitian sebelumnya dengan Support Vector Machine berbasis PSO pada ulasan aplikasi flip. Hasil yang diperoleh adalah algoritma Naive Bayes berbasis Particle Swarm Optimization menghasilkan nilai akurasi sebesar 88,24%, sedangkan untuk Support Vector Machine berbasis Particle Swarm Optimization nilai akurasi sebesar 88,61%. Peningkatan akurasi mencapai 0,37%. Support Vector Machine berbasis Particle Swarm Optimization yang menjadi algoritma terbaik untuk data ulasan aplikasi flip.