bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification and Validation of a Prognostic Signature of m 5 C-Related Genes for Esophageal Cancer
Authors: Huang Zhengrong , Wang Liyan , Lin Qing , Shen Wenbin , Zhang Yiping , Lin Zhizhong , Chen Yuanmei , Shen Yongshi , Chen Juhui , Chen Junqiang , Dong Jingjing , Xu Yuanji 
Published: October 2023

Abstract
Background
Esophageal cancer (ESCA) is a prevalent form of cancer with a grim prognosis. It has been reported that 5-methylcytosine (m5C) regulators are closely linked to carcinogenesis and distant metastasis. However, the role of m5C regulator in ESCA is still elusive. The aim of this study was to investigate the connections between m5C regulators and the initiation and progression of ESCA, with a particular focus on prognosis.
Methods
Gene expression profile data from TCGA database, including 11 normal and 142 tumor tissues, were obtained and divided into two ESCA subtypes according to the m5C regulators expression. Differentially expressed genes (DEGs) of two ESCA subtypes, normal and tumor tissues from TCGA, and normal and tumor tissues from validation datasets were analyzed. Inter-DEGs were filtered from the overlap of three sets of DEGs which named inter-DEGs. Functional analysis, immune infiltration analysis, drug sensitivity analysis, prognosis model was carried out to investigate the biological function and potential role of m5C regulators in ESCA. The expression of PLA2G2F, HHIP, TNXB, and STK31 in ESCA and adjacent esophageal tissues was detected by RT-qPCR.
Results
The expression of m5C regulators, namely TRDMT1, NSUN2, NSUN4, NSUN6, DNMT1, ALYREF, and YBX1, were upregulated in ESCA subtype 2 group. Correlation analysis demonstrated that m5C regulators positively correlated with E2F targets, G2M checkpoint, MYC targets V1, while negatively correlated with TNF-α signaling via NF-kB, and Notch signaling pathway. Additionally, the immune infiltration analysis indicated that m5C regulators was positively correlated with Macrophages M0, and negatively correlated with T cells CD8 infiltration. 4 independent prognostic genes, including PLA2G2F, HHIP, TNXB, and STK31, were selected to construct prognostic model and exhibited good function in predicting the prognosis of ESCA patients. RT-qPCR was used to validate the gene expression that the PLA2G2 had higher expression in ESCA tissues compared to adjacent tissues, while the expression of STK31, HHIP, and TNXB showed down regulation in ESCA tissues.
Conclusions
This study explored the comprehensive feature of 2 subtypes of m5C regulators in ESCA patients, which may improve understanding of m5C regulation in the tumor biology of ESCA.
Optimisation-based Design of Market-based Policy Instruments for Accelerating the Uptake of CCUS for Global Refinery Decarbonisation
Authors: Ofori-Atta Christabel , Oluleye Gbemi 
Published: October 2023

Abstract
CCUS is broadly heralded as a substantive opportunity to deeply offset emissions from the oil refining industry. However, high cost of capture remains a major barrier to adoption. Although developments of new technologies and infrastructure are still ongoing and poised to appreciably improve the economics for CCUS in the future, widescale deployment is still critically dependent on policy interventions. This work develops a novel optimisation-based multi-market potential assessment model to quantify the impact of combined policies in increasing market uptake and reducing mitigation cost of new CCUS technologies by 2030 among refineries considered to be operating under CCUS clusters with a shared transport and storage network business model. The methodology is applied to 512 refineries in 86 countries grouped under 8 different regions worldwide. Results show that sufficient demand among refineries can be generated from policies combined globally to trigger further cost reductions to a target cost of capture of ≤ US$40 /tCO2. Overall, 33% maximum cost savings is possible at a worldwide cost of US$ 46.3 billion shared between governments and the industry largely in the form of unified carbon taxes and grant support. Moreover, refineries in Asia, North America and Europe are more likely to lead CCUS cost savings as high as 22% due to their huge market potential and policy mix support from capital funding, tax credits for EOR and storage, and emissions allowances, as opposed to potential in Africa and Oceania. Ultimately, there is need for coordinated global efforts for policy measures for CCUS uptake.
Study of the role of various diagnostic methods in patients with benign and neoplastic cervical diseases
Authors: Karakhalis L. Yu. , Petrenko V. S. , Petrenko S. I. 
Published: October 2023

Introduction. Cervical intraepithelial neoplasias that have been recognized as a precursor of squamous cell carcinoma are subject to active detection for the purpose of eradication. Human papillomavirus (HPV) exposure of women is the major risk factor for carcinogenesis, which is a necessary part for the formation of a pre-tumour and malignant phenotype. Cervical intraepithelial neoplasias that precede the development of squamous cell carcinoma should be actively detected and treated early. The identification of patients with HPV is an important part of subsequent therapies. Inosine pranobex is used as one of the components of the treatment of HPV-associated diseases.Aim. To study the role of various diagnostic methods in patients with benign and neoplastic cervical processes.Materials and methods. The study included 311 women who were 21–64 years old. Colposcopy, cytological examination, HPV testing, preliminary biopsy, cervical excise with histological evaluation of tissue sampling were carried out.Results. HPV 16 was more often detected in a malignant tumour and CIN 3; HPV type 31 and 33 were more often detected in CIN 2 and CIN 3; HPV type 18 was detected in almost all patient with CIN, and malignant and benign neoplastic disorders in preliminary biopsy, that was not typical of results of the excision. In excision CIN 1 were confirmed in 17.07%, CIN 2 in 31.88%, CIN 3 in 66.67%. Preliminary results of benign process in 6.67% turned out to be CIN 1, and in 6.67% – CIN 2, that confirms the need for a comprehensive evaluation. Studies of prevalence of various types of HPV showed that the established sequence of recommended tests, which consists of extended colposcopy, cytology and identification of HPV types, if necessary, does not always correspond to the biopsy results and histological findings on cervical excision specimens. According to our sources, the final result can be determined after excision procedure of cervical tissue and histological examination of the tissue obtained.Conclusion. No strong correlations between examination methods and cervical pathology have been revealed. The final diagnosis is made after cervical biopsy. High prevalence of different types of HPV raises the question of need for complex therapy with inclusion the inosine pranobex.
Synthesis, Bioactivity Evaluation, and Molecular Docking Study of
Tranilast Analogs as Anticancer Agents
Authors: Phan Phuong-Thuy T. , Pham Tuan-Anh N. , Nguyen Ngoc Phuong , Nguyen Van-Anh Tran , Nguyen Tuyet Hong 
Published: October 2023

Abstract:
Developing new agents with higher therapeutic potential and less toxicity to overcome the
limitations of chemotherapy in cancer treatment has been identified as an urgent need and priority. Recent
studies have shown promising anticancer activities of tranilast when used alone or in combination
with other chemotherapeutic agents. This research aims to synthesize tranilast analogs, evaluate in
vitro anticancer activity, and dock into the TGFβ1 target to find stronger anticancer agents. Tranilast
(5a) and analogs (5b–f) were synthesized from anthranilic acid derivatives, Meldrum’s acid, and benzaldehydes
based on the Knoevenagel-Doebner reaction. The compounds were evaluated for in vitro
cytotoxicity activity by MTT assay and docked into the TGFβ1 target using AutoDockTools–1.5.6.
Tranilast (5a) and seven analogs (5b–h) were successfully synthesized and analyzed for their structures.
Four analogs (5b–d, 5f) possessed stronger effects on both HepG2 and MCF-7 cell lines with
proliferation inhibitions at concentrations of 100 μg/mL in the range of 41 to 95% compared to
tranilast (16.95% and 22.64%). Compound 5f exhibited the most potent analog with IC50 = 27.57
μg/mL (HepG2) and 16.67 μg/mL (MCF-7) compared to tranilast (IC50 > 100 μg/mL) and had good
binding affinity on TGFβ1 target (docking score ˗7.35 Kcal/mol). Four of seven tranilast analogs possessed
stronger cytotoxicity activity on both HepG2 and MCF-7 cell lines compared to that of the parent
compound, tranilast. Notably, compound 5f displayed the most potent activity and good binding
affinity on the TGFβ1 target, indicating the potential for further study as an anticancer agent.
Current Landscape of Various Techniques and Methods of Gene Therapy
through CRISPR Cas9 along with its Pharmacological and Interventional
Therapies in the Treatment of Type 2 Diabetes Mellitus
Authors: Wal Pranay , Aziz Namra , Prajapati Harshit , Soni Shashank , Wal Ankita 
Published: October 2023

Background:
Type 2 diabetes mellitus (T2DM) is frequently referred to as a "lifestyle
illness". In 2000, India (31.7 million) had the greatest global prevalence of diabetes mellitus, followed by China (20.8 million), the United States (17.7 million), and other countries. In recent
years, the treatment of gene therapy (T2DM) has attracted intensive interest.

Objective:
We aimed to critically review the literature on the various techniques and methods,
which may be a possible novel approach through the gene therapy CRISPR Cas9 and some other
gene editing techniques for T2DM. Interventional and pharmacological approaches for the treatment of T2DM were also included to identify novel therapies for its treatment.

Method:
An extensive literature survey was done on databases like PubMed, Elsevier, Science Direct and Springer.

Conclusion:
It can be concluded from the study that recent advancements in gene-editing technologies, such as CRISPR Cas9, have opened new avenues for the development of novel therapeutic
approaches for T2DM. CRISPR Cas9 is a powerful tool that enables precise and targeted modifications of the genome.
Swarm Algorithm-based Power Optimization in Cooperative
Communication Network
Authors: Pahuja Sonika , Jindal Poonam 
Published: October 2023

Background:
Due to the environmental effects, the signal fades abruptly and is sometimes
lost in the transmission path, which results in weak signal reception at the destination node. The Cooperative
Communication Network (CCN) overcomes this problem and provides better spectral efficiency.
The source node and the helper node both send the information to the receiver. In spite of
many advantages, there are some limitations to such networks. Improving the system efficiency by
power, energy, or relay selection optimization is quite desirable as multiple helper nodes are used in
the network. Considering this crucial requirement of optimization, the proposed work presents optimal
power allocation of the system.

Methods:
Here, tunicate-swarm optimization is implemented to improve the system parameters, symbol
error rate (SER), outage probability, and bit error rate (BER). Two relaying protocols are used for
analysis, i.e., Amplify-and-Forward (AF) and Differential AF (Diff-AF), with two combining
schemes: Selection-Combining (SC) and Maximal-Ratio-Combining (MRC).

Results:
The results obtained are further compared with other metaheuristics algorithms, such as Particle-
Swarm-Algorithm (PSO), Black-Widow-Optimization (BWO), and the traditional method of
Equal-Power-Allocation (EPA).Equal-Power-Allocation (EPA).

Conclusion:
The simulation result shows that the proposed algorithm improves the system parameters
compared to algorithms with less time.
Multilevel Thresholding-based Medical Image Segmentation using Hybrid
Particle Cuckoo Swarm Optimization
Authors: Kumar Dharmendra , Solanki Anil Kumar , Ahlawat Anil Kumar 
Published: October 2023

Background:
The most important aspect of medical image processing and analysis is
image segmentation. Fundamentally, the outcomes of segmentation have an impact on all subsequent image testing methods, including object representation and characterization, measuring of
features, and even higher-level procedures. The problem with image segmentation is recognition
and perceptual completion while segmenting the image. However, these issues can be resolved
by multilevel optimization techniques. However, multilevel thresholding will become more
computationally intensive with increasing thresholds. Optimization algorithms can resolve these
issues. Therefore, hybrid optimization is used for image segmentation in this research work.

Methods:
The researchers propose a Multilevel Thresholding-based Segmentation using a Hybrid Optimization approach with an adaptive bilateral filter to resolve the optimization challenges in medical image segmentation. The proposed model utilizes Kapur's entropy as the objective
function in the nature-inspired optimization algorithm.

Results:
The result is evaluated using parameters such as the Peak Signal-to-Noise Ratio
(PSNR), Structural Similarity Index (SSIM), and Feature Similarity Index (FSIM). The researchers perform result analysis with variable thresholding levels on KAU-BCMD and mini-MIAS
datasets. The highest PSNR, SSIM, and FSIM achieved were 31.9672, 0.9501, and 0.9728 respectively. The results of the hybrid model are compared with state-of-the-art models, demonstrating its efficiency.

Conclusion:
The research concludes that the proposed Multilevel thresholding-based segmentation using a Hybrid Optimization approach effectively solves optimization challenges in medical
image segmentation. The results indicate its efficiency compared to existing models. The research work highlights the potential of the proposed hybrid model for improving image processing and analysis in the medical field.
Consumer Willingness to Pay for Food Defense and Food Hygiene in Japan: Cross-Sectional Study
Authors: Matsumoto Shinya , Kanagawa Yoshiyuki , Nagoshi Kiwamu , Akahane Takemi , Imamura Tomoaki , Akahane Manabu 
Published: October 2023

Background
In Japan, incidents of falsified expiration dates on popular cookie brands and health hazards associated with frozen Chinese dumplings have raised food safety awareness. To prevent the intentional contamination of food by foreign substances, large food manufacturing companies have adopted the concept of food defense.

Objective
The aim of this study was to assess people’s willingness to pay for food protection measures. In addition, the impact of participants’ personalities and considerations regarding their purchase choices on how much they were willing to pay when shopping for food and other products were measured.

Methods
A questionnaire on willingness to pay for food hygiene and food defense was administered via a web survey and 1414 responses were included in the analysis. Univariate logistic regression analyses were performed with individuals willing and unwilling to pay additional costs as the objective variable and other questionnaire items as explanatory variables. A principal component analysis was performed on 12 questions regarding how much additional money people were willing to pay, and the principal component scores and other questions were examined for implications and other information.

Results
Approximately one-third of the respondents stated that they were unwilling to pay additional costs and reported a willingness to consume delivery food even if it contained items that were not part of the original order. The first principal component reflected the extent to which people were willing to pay additional money, and if so, how much. This tendency existed even if the individual foods and amounts varied. The third principal component reflected the amount of extra money that people were willing to pay, which was determined by the amount people had to pay toward food safety measures. Those who answered “zero” were more likely to believe that consumers should not have to pay to ensure food safety. The second principal component reflected an axis separating food defense and food hygiene. Some items not directly related to food were correlated with this axis.

Conclusions
In Japan, the concept of food hygiene is well-established and is generally taken for granted. In contrast, the concept of food defense is relatively new and has not yet fully penetrated the Japanese market. Our research shows that people who think that clothing brands provided added value to clothing products may have similar feelings about food defense. In addition, food hygiene efforts to prevent outbreaks of food poisoning are common in Japan and have been established as the basis of food safety. While food defense efforts are spreading, mainly in companies, it is presumed that they are valuable for the general public as supplementary measures to routine (or basic) food hygiene.
Variasi Leksikal Bahasa Kerinci Isolek Desa-desa di Kecamatan Depati Tujuh Kabupaten Kerinci: Kajian Dialektologi
Authors: Harmedianti Harmedianti , Ernanda Ernanda , Afria Rengki 
Published: October 2023

Abstract
This study aims to describe the form of lexical variations and calculate the distance between linguistic elements in the villages in the Depati Tujuh sub-district, Kerinci district. This type of research is a qualitative and quantitative research using a descriptive approach. Data collection techniques used observation techniques, interview techniques, fishing techniques, recording techniques, and note-taking techniques. Data analysis used the stages of reading transcription data, doing sorting and comparison, describing the characteristics of lexical variations, and finally calculating the distance between linguistic elements using dialectometric formulas. Based on the data analysis, from the data of 200 Morris Swadesh vocabularies there are 39 glosses that have lexical variations. And based on dialectometry calculations, 19.5% (no difference).
Abstrak
Penelitian ini bertujuan untuk mendeskripsikan bentuk variasi leksikal dan menghitung jarak unsur kebahasaan Desa-Desa di Kecamatan Depati Tujuh Kabupaten Kerinci. Jenis Penelitian ini adalah penelitian kualitatif dan kuantitatif dengan menggunakan pendekatan deskriptif. Teknik pengumpulan data menggunakan teknik observasi, teknik wawancara, teknik pancing, teknik rekam, dan teknik catat. Analisis data menggunakan tahap membaca data transkripsi, melakukan pemilahan dan hubung banding, mendeskripsikan karakteristik variasi leksikal dan terakhir melakukan tahap perhitungan jarak unsur kebahasaan dengan rumus dialektometri. Berdasarkan analisis data yang dilakukan, dari data 200 kosakata Morris Swadesh terdapat 39 glos yang memiliki variasi leksikal. Berdasarkan perhitungan dialektometri didapatkan 19,5% (tidak ada perbedaan).
Pan-Slavism and Slavophilia in Contemporary Central and Eastern Europe: Origins, Manifestations and Functions
Authors: Bodin Per-Arne 
Published: October 2023

The volume is a comprehensive study of Slavophilia, used as an expansion of the concept of pan-Slavism in a broad geopolitical sense. A palette of different constellations of Slavic peoples and attempts to find different Slavophile connections between different groups are presented and scrutinized. The volume is a valuable contribution to both the study of pan-Slavism past and present, and geopolitics in general.
Analisis Sifat Mekanis Komposit Limbah Masker Berpenguat Serat Bambu
Authors: Pangestu Ade , Estriyanto Yuyun , Widiastuti Indah 
Published: October 2023

Daur ulang limbah masker menjadi material komposit berpenguat serat bambu merupakan cara alternatif untuk mengurangi penumpukan limbah masker yang membahayakan lingkungan selama pandemi covid-19. Tujuan penelitian ini untuk menganalisis pengaruh variasi fraksi massa campuran serat bambu terhadap sifat mekanis pada komposit limbah masker. Pada penelitian dengan menggunakan metode eksperimen ini, dikembangkan komposit berbasis limbah masker medis berpenguat serat bambu dengan variasi fraksi massa serat sebesar 0%, 4%, 8%, 12%, dan 16%. Sifat mekanik diukur dari nilai rata-rata kekuatan tarik dan kekuatan impak dari lima spesimen pada tiap variasi. Analisis hasil penelitian dilakukan secara deskriptif berdasarkan nilai kekuatan material dan visualisasi patahan spesimen dari Scanning Electron Microscopy (SEM). Hasil penelitian menunjukkan adanya pengaruh fraksi masa serat bambu terhadap kekuatan material komposit berbasis limbah masker. Kekuatan tarik tertinggi terdapat pada variasi 0% sebesar 18,6 MPa dan terendah pada variasi 8% sebesar 10,3 MPa. Sedangkan, kekuatan impak tertinggi terdapat pada variasi 0% sebesar 7,84 kJ/ dan terendah pada variasi 8% sebesar 1,76 kJ/ . Meningkatnya jumlah serat bambu pada matriks limbah masker menyebabkan penurunan sifat mekanik material.
Komparasi Algoritme K-NN, Naïve Bayes, dan Cart untuk Memprediksi Penerima Beasiswa
Authors: Ikhsan Ali Nur , Subarkah Pungkas , Alifian Raditya Sani 
Published: October 2023

Persebaran penerima beasiswa di tanah air Indonesia terdapat masalah salah satunya yaitu tidak tepat sasaran. Pemerintah Indonesia memberikan beasiswa kepada peserta didik di Indonesia sebagai contoh yaitu Program Indonesaia Pintar dan, Program Indonesia Pintar Pendidikan Dasar dan Pendidikan menengah. Dalam pemberian beasiswa diperlukan adanya klasifikasi dalam mengambil keputusan penerima beasiswa tersebut untuk meminimalisir salah sasaran. Prediksi secara dini harus dilakukan untuk mengantisipasi kesalahan dalam penerima bantuan beasiswa, salah satunya menggunakan teknik data mining. Penelitian yang dilakukan menggunakan data mining terhadap dataset penerima beasiswa dengan memanfaatkan aplikasi Weka dalam mengolah data. Dataset yang digunakan dalam penelitian ini yaitu data penerima beasiswa di salah satu SMA yang berada di Kabupaten Banjarnegara, Jawa Tengah dengan jumlah dataset yaitu 948 data dan memiliki 6 atribut (5 atribut dan 1 target atribut) . Metode yang digunakan dalam penelitian ini yaitu Confusion matrix dan K-fold 10 Cross Validation. Peneliti melakukan Komparasi Algoritme K-NN, Naïve Bayes, Dan CART untuk Memprediksi Penerima Beasiswa. Dari ketiga Algoritme yang digunakan dalam penelitian diperoleh kesimpulan Algoritme CART merupakan Algoritme dengan hasil akurasi yang paling tinggi sebesar 91.3502% untuk memprediksi penerima beasiswa dengan kategori Good Classification.