bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of Fluctuations of BRAF Gene Expression and its Polymorphism at rs1267623 in Colorectal Cancer
Authors: Norollahi Seyedeh Elham , Babaei Kosar , Vahidi Sogand , Motaz Seyed Javad Hosseini , Tarbeghan Mahmoud Kalani , Khaleghipour Mostafa , Gharakhyli Elaheh Asghari , Mirhafez Seyed Reza , Samadani Ali Akbar 
Published: July 2024

Background:
Molecular markers in Colorectal Cancer (CRC) are needed for more ac-curate classification and personalized treatment. In this way, we investigated the effects of the BRAF gene on clinical outcomes of its expression fluctuations and its polymorphism at rs1267623 in CRC.

Methods:
In this study, 36.36 percent of patients with CRC were women, and 63.63 percent were men. After the pathology department confirmed the tumor of the samples, the stage and grade of the tumor were determined according to the TNM system. Real-time PCR was used to check the expression of the BRAF gene in tumor and non-tumor tissues, and its polymorphism in rs1267623 was also checked using the Tetra-ARMs PCR technique.

Results:
The expression of BRAF in tumor tissues was significantly higher than in non-tumoral tissues (P = 0.001), indicating an upregulation of BRAF gene expression in tumoral tissues. The user's text is empty. Furthermore, there was a significant correlation between BRAF expression and tumor stage (P = 0.001), as well as tumor grade (P = 0.003). However, no significant link was found between lymph node metastasis and distant metastasis of BRAF gene expression (P = 0.3). Additionally, no mutation was detected in the investigation of rs1267623 polymorphism.

Conclusion:
The BRAF gene was upregulated in tumoral tissues. Remarkably, no mutation was found in the rs1267623 polymorphism. As a result, this gene can be used as a biomarker in the diagnosis and treatment of CRC.
Serum MicroRNAs as Predictors of Diagnosis and Drug-resistance in Temporal Lobe Epilepsy: A Preliminary Study
Authors: Bertoli Gloria , Fortunato Francesco , Cava Claudia , Manna Ida , Gallivanone Francesca , Labate Angelo , Panio Antonella , Porro Danilo , Gambardella Antonio 
Published: July 2024

Objective:
Temporal lobe epilepsy (TLE) is the most common form of refractory focal
epilepsy, and the current clinical diagnosis is based on EEG, clinical neurological history and neuroimaging findings.

Methods:
So far, there are no blood-based molecular biomarkers of TLE to support clinical diagnosis,
despite the pathogenic mechanisms underlying TLE involving defects in the regulation of gene expression. MicroRNAs (miRNAs) have emerged as important post-transcriptional regulators of gene
expression.

Results:
Recent studies show the feasibility of detecting miRNAs in body fluids; circulating miRNAs
have emerged as potential clinical biomarkers in epilepsy, although the TLE miRNA profile needs to
be addressed. Here, we analysed the diagnostic potential of 8 circulating miRNAs in sera of 52 TLE
patients and 40 age- and sex-matched donor controls by RT-qPCR analyses.

Conclusion:
We found that miR-34a-5p, -106b-5p, -130a-3p, -146a-5p, and -19a-3p are differently
expressed in TLE compared to control subjects, suggesting a diagnostic role. Furthermore, we found
that miR-34a-5p, -106b-5p, -146a-5p and miR-451a could become prognostic biomarkers, being differentially expressed between drug-resistant and drug-responsive TLE subjects. Therefore, serum
miRNAs are diagnostic and drug-resistance predictive molecules of TLE.
Ascle—A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study
Authors: Yang Rui , Zeng Qingcheng , You Keen , Qiao Yujie , Huang Lucas , Hsieh Chia-Chun , Rosand Benjamin , Goldwasser Jeremy , Dave Amisha , Keenan Tiarnan , Ke Yuhe , Hong Chuan , Liu Nan , Chew Emily , Radev Dragomir , Lu Zhiyong , Xu Hua , Chen Qingyu , Li Irene 
Published: July 2024

Background
Medical texts present significant domain-specific challenges, and manually curating these texts is a time-consuming and labor-intensive process. To address this, natural language processing (NLP) algorithms have been developed to automate text processing. In the biomedical field, various toolkits for text processing exist, which have greatly improved the efficiency of handling unstructured text. However, these existing toolkits tend to emphasize different perspectives, and none of them offer generation capabilities, leaving a significant gap in the current offerings.

Objective
This study aims to describe the development and preliminary evaluation of Ascle. Ascle is tailored for biomedical researchers and clinical staff with an easy-to-use, all-in-one solution that requires minimal programming expertise. For the first time, Ascle provides 4 advanced and challenging generative functions: question-answering, text summarization, text simplification, and machine translation. In addition, Ascle integrates 12 essential NLP functions, along with query and search capabilities for clinical databases.

Methods
We fine-tuned 32 domain-specific language models and evaluated them thoroughly on 27 established benchmarks. In addition, for the question-answering task, we developed a retrieval-augmented generation (RAG) framework for large language models that incorporated a medical knowledge graph with ranking techniques to enhance the reliability of generated answers. Additionally, we conducted a physician validation to assess the quality of generated content beyond automated metrics.

Results
The fine-tuned models and RAG framework consistently enhanced text generation tasks. For example, the fine-tuned models improved the machine translation task by 20.27 in terms of BLEU score. In the question-answering task, the RAG framework raised the ROUGE-L score by 18% over the vanilla models. Physician validation of generated answers showed high scores for readability (4.95/5) and relevancy (4.43/5), with a lower score for accuracy (3.90/5) and completeness (3.31/5).

Conclusions
This study introduces the development and evaluation of Ascle, a user-friendly NLP toolkit designed for medical text generation. All code is publicly available through the Ascle GitHub repository. All fine-tuned language models can be accessed through Hugging Face.
Le modèle interactionnel, version 2024
Authors: Landowski Eric 
Published: July 2024

Fin 2021, dans la présente revue, l’article « Complexifications interactionnelles » rassemblait un certain nombre de précisions et de compléments apportés au modèle syntaxique des régimes de sens et d’interaction dont la formulation standard est parue en 2005 dans Les interactions risquées. Depuis cette mise au point, les choses ont encore évolué. D’où, ici, une nouvelle clarification tenant compte des avancées les plus récentes.
SKENARIO PENINGKATAN PENDAPATAN DALAM USAHATANI JAGUNG MELALUI ADOPSI TEKNOLOGI DI DESA TULABOLO BARAT, PROVINSI GORONTALO
Authors: Tahir Nur Safitri , Baruwadi Mahludin , Sirajuddin Zulham 
Published: July 2024

This research aims to examine several scenarios in maize farming by increasing the income generated by maize farming for rural communities in West Tulabolo Village. This increase in income is aimed at through the adoption of advanced agricultural technologies. The research involved interviewing 26 corn farmers using a structured interview guide to assess their current farming practices. The method used in this study is quantitative descriptive data analysis using saturated sampling techniques. The data collected indicates that these farmers have not yet embraced technological advancements, especially when it comes to using hybrid corn cultivation methods like planting a single seed per hole and utilizing organic fertilizers. As a result, these farmers are currently earning low incomes, which amount to Rp. 4.402.090. To maximize profitability, it is crucial to implement improved agricultural methods by integrating technology into the Good Agricultural Practices (GAP) framework. This integration is expected to lead to a significant increase in seasonal revenue, potentially reaching IDR. 19.712.700Keywords: agricultural technology adoption, hybrid corn cultivation, income, maize farming
PERBEDAAN PENILAIAN PEMBELI MAKAN SIANG DAN MALAM TERHADAP ATRIBUT RUMAH MAKAN PADANG X, BANDAR LAMPUNG
Authors: Putri Rafika Dila , Hudoyo Agus , Riantini Maya 
Published: July 2024

This study aims to analyze differences between lunch and dinner buyers in assessing importance and performance attributes, differences in importance and performance levels between lunch buyers and dinner buyers, and analyze the attributes that need to be improved and maintained. The method used in this study was a survey method by conducting interviews with 35 lunch buyer respondents and 35 dinner buyer respondents. The samples were determined using a probability sampling technique to randomize table numbers and the analytical method used was the Mann-Whitney Test and Importance Performance Analysis (IPA). Interest and performance attribute ratings by buyers used a Likert scale with a range of 1 to 5. This study showed that there was no significant difference in importance and performance ratings between lunch and dinner buyers' ratings. There are 4 different attributes of the importance and performance of dinner and lunch. There is 1 attribute whose performance needs to be improved and 8 attributes whose performance needs to be maintained. Keywords: attributes, Importance Performance Analysis (IPA), importance and performance, lunch buyers and dinner buyers.
PENGARUH KEPUASAN KERJA DAN MOTIVASI TERHADAP KINERJA KARYAWAN KANTOR DIREKSI PT PERKEBUNAN NUSANTARA VII BANDAR LAMPUNG
Authors: Fala Sofi Elisa Nurul , Nugraha Adia , Endaryanto Teguh 
Published: July 2024

This research aims to examine job satisfaction, motivation, and employee performance, and to analyze the effect of job satisfactionand motivation on employee performance. The data collection was conducted at PT Perkebunan Nusantara VII Bandar Lampung Head Office from February to March 2022. The method utilized in this research was survey method by involving 54 samples of employees from 10 divisions. The samples in this study were employees of group III. The data survey were analyzed using descriptive analysis and multiple linear regression analysis. The results show that employee job satisfaction is categorized as quite good, employee motivation is quite good, and employee performance is categorized as good. It is concluded that job satisfaction and employee motivation have a significant and partial effect on the employee performance of PTPN VII employees group III. Key words: employee performance, job satisfaction, motivation
ANALISIS PENDAPATAN DAN TINGKAT KESEJAHTERAAN RUMAH TANGGA PETANI PADI DI KECAMATAN BATANGHARI KABUPATEN LAMPUNG TIMUR
Authors: Dirgantari Indah Aprilia , Haryono Dwi , Endaryanto Teguh 
Published: July 2024

This research aims to analyze the income and welfare level of rice farming households. The purposive choice of Batanghari District in East Lampung Regency as the research's location. The survey approach was applied to this research, which was carried out between November 2022 and December 2022. The sample for this research consisted of 54 rice farmers taken using the simple random method. This research employed descriptive quantitative data analysis. The results show that rice farming conducted by rice farmers is financially successful because of the R/C value is 2.37 in the rainy season (MH) and 2.35 in the dry season (MK), indicating that the farm is financially successful and practicable with an R/C value of greater than one. Rice farmer household income consists of several sources of income, rice farm income, non rice income, off farm income, and non farm income with a total average income of IDR 30,813,218.52/year. Farmer household expenditure is for food expenditure of IDR 7,833,004.37/year, while non-food expenditure of IDR 21,314,555.56/year. The results are categorized as sufficient according towelfare level of rice farmer promoted by Sajogyo with a percentage of 70.37%, and included in more prosperous criteria based on Good Serivice Ratio’s welfare level with GSR <1 and the total percentage of 92.59%. Key words : Farm income, household expenditure, household income, rice, welfare
MANAJEMEN STOK PANGAN RUMAH TANGGA PETANI PADI ANGGOTA LUMBUNG PANGAN DI KECAMATAN AMBARAWA KABUPATEN PRINGSEWU
Authors: Arifatuzzakiyah Maula , Prasmatiwi Fembriarti Erry , Firdasari Firdasari 
Published: July 2024

This study aimed firstly to analyze the management of household food stocks and secondly to analyze the various factors affecting household food stocks for rice farmers. All rice farmers were members of the food barn in Ambarawa Sub-district, Pringsewu District. The samples were selected by simple random sampling consisting of 7 granaries with a total of 70 members. The data were collected from January to February 2023. To obtain the first objective, the data were analyzed by using the calculation of food stocks referring to the Chafid equation formula (2017), i.e. the amount of food inventory was subtracted by its sale quantity and its utilization. To obtain the second objective, the data were analyzed by using the multiple linear regression. The results showed that the food stocks of rice farmers who were members of the food barn were 573 kg of MDG in the first season and 450 kg of MDG in the second season, which were not an ideal amount for food stock. This was because the ideal amounts of needs were 586.93 kg of MDG for the first season and 591.51 kg of MDG for the second season. Some of the factors affecting the food stock of the rice farming households incorporated in food barns were land area and household income. Key words: regression analysis, sale delay analysis, stocks, storage.
ANALISIS KELAYAKAN FINANSIAL USAHA TERNAK SAPI PERAH GISTING DAIRY FARM DI KECAMATAN GISTING KABUPATEN TANGGAMUS
Authors: Dirasta Suny , Affandi Muhammad Irfan , Saleh Yuliana 
Published: July 2024

Thisl researchl aims tol analyzel thel feasibility of dairy cattle business by employing investment assessment criterial NPV, lIRR, net lB/C, grossl B/C, payback period andl sensitivity. . Thisl research wasl conducted at Gisting Dairly Farm, Gisting District, Tanggamus Regency. Data collection was conducted from July toAugust 2022. Respondentsl for the research were l the ownerl and l employees ofl Gisting Dairyl Farm. The datal were analyzedl quantitativelyl by using measurementl criteria ofl financiall viability andl sensitivityl lanalyzes. The resultsl showedl thatl dairy cattlel businessl isl financially viablel asl indicatedl by NPVl valuesl ofl IDR 2,116,549,122.00; Net lB/C valuesl of 3.54; Grossl B/C valuesl of 1.54; IRRl values ofl 27.57 percent; PPl of 5.03 froml the economicl life ofl dairy cattlel for eightl years, andl dairy cattlel business isl still viablel despite of decreasing ofl milk sales cost byl 12 percent, andl increasing ofl cow maintenancel cost ofl 10 lpercent. lKey words: dairy cattle, lfeasibility, financial, sensitivity
ANALISIS RASIO KEUANGAN MENGGUNAKAN TIME SERIES DAN CROSS SECTION UNTUK MENILAI KINERJA KEUANGAN PERUSAHAAN
Authors: Wediyanto Eko , Ariska Fitriani 
Published: July 2024

The purpose of this study was to analyze the financial ratios of manufacturing companies listed on the IDX for the 2019-2023 period using financial ratio analysis, namely liquidity ratios, profitability ratios and activity ratios to assess the company's financial performance. The type of research used by researchers is descriptive quantitative using time series and cross sections, the data used in this research is secondary data, the results of the research show the average value of liquidity ratio PT. Gudang Garam Tbk. has the highest average current ratio and quick ratio values, while the highest average cash ratio is at PT. HM Sampoerna Tbk. The highest average value of activity ratio and profitability ratio of the three companies, namely PT. Gudang Garam Tbk. and PT. Bentoel International Investama Tbk. are PT. HM Sampoerna Tbk., this shows that the ability of PT. HM Sampoerna Tbk. more efficient in daily activities and the profits obtained within a period of 5 years (2019-2023) are more effective than PT. Gudang Garam Tbk and PT. Bentoel International Investama Tbk.
The Use of Probiotic Preparations in Caries Prevention and Treatment
Authors: Bernaś Aleksandra Anna , Kłosek Sebastian 
Published: July 2024

Abstract
The article delves into the potential of probiotics and synbiotics as alternative approaches to preventing and treating dental caries. Probiotics are live, non­­pathogenic microorganisms combined with non ­living substances (prebiotics) that support their growth and activity. Probiotics, including strains of Lactobacilli, Bifidobacterium, Streptococcus, secrete various compounds, such as antimicrobial substances, bacteriocins, and enzymes, which help combat cariogenic bacteria. Research suggests that early administration of probiotics can establish a stable oral ecosystem and decrease the risk of dental caries.
Synbiotics, a combination of probiotics and prebiotics, offer a synergistic approach to promoting oral health. Prebiotics like glucomannan hydrolysate, arabinose, xylose, and xylitol support the growth of beneficial bacteria while hindering the proliferation of cariogenic strains. The use of synbiotics, particularly in children, has shown promise in reducing the incidence of dental caries.
Overall, this review highlights the growing interest in probiotics and synbiotics as potential solutions to addressing the complex issue of dental caries. These alternative methods offer the potential to rebalance the oral microbiota and reduce the prevalence of this widespread oral health problem. Nonetheless, further research is needed to confirm their efficacy and long ­term effects in preventing and treating dental caries.
Analysis of Hospital Length of Stay in Each Diagnostic -Related Groups (DRGs) Carried Out Using the Smart Hospital Research Application
Authors: Kozera Jarosław Stefan , Pikala Małgorzata , Burzyńska Monika 
Published: July 2024

Abstract

Background
The application of business intelligence (BI) tools in hospitals can enhance the quality and efficiency of care by providing insights into diagnostic, therapeutic, and business processes. BI tools aid in infection monitoring, clinical decision -making, and analysis of hospitalisation durations within Diagnostic-Related Groups (DRGs), identifying inefficiencies and optimizing resource use.

Objectives
This study aims to analyse hospital length of stay and identify the DRGs with the most inefficient hospitalization times using the BI -driven Smart Hospital application.

Materials and methods
The Smart Hospital application, developed on the Qlik Sense BI platform, analysed data from the National Health Fund (NFZ), Statistics Poland, e -health Centre (CEZ), and hospitalisations billed by DRG sections. The dataset included 20,376,405 hospitalisations from 2017–2019.

Results
The average length of stay (ALOS) was 6.2 days, with an effective length of stay (ELOS) of 4.33 days. Ineffective hospitalisation days totalled 30,307,086, accounting for 28.99% of all hospitalizations. The most inefficient DRGs were E53G (Cardiovascular failure), A48 (Complex stroke treatment), N01 (Childbirth), T07 (Trauma conservative treatment), and D28 (Respiratory and thoracic malignancies), contributing to about 14% of all ineffective hospital days.

Conclusions
Understanding the factors influencing hospitalisation durations in DRGs can improve patient flow management. Future research should compare treatment effectiveness concerning hospitalisation duration to develop optimal strategies for specific patient groups.
ВЫБОР БЕСПИЛОТНЫХ ЛЕТАТЕЛЬНЫХ АППАРАТОВ ДЛЯ ЦИФРОВОГО СЕЛЬСКОГО ХОЗЯЙСТВА
Authors: Koshkarov A.V. 
Published: July 2024

Agriculture as an element of ensuring food security of countries plays an important role in the world and regional economy. The use of digital technologies in agriculture can be one of the sources of growth in the industry. Data in agriculture can be collected using various mechanisms, including the use of unmanned aerial vehicles. This article discusses the selection of unmanned aerial vehicles for agriculture and gives recommendations to farmers on the choice of drones for data collection and monitoring. For example, it is possible to collect useful information on the state of agricultural fields (the size of fields, the level of germination, the state of vegetation) with the help of drones. The basis of this study is an overview of the relevant literature on the use of unmanned aerial vehicles in agriculture in different countries and the author's own experience in implementing the project with the use of an agricultural drone in the experimental fields of the Astrakhan State University. In addition, a survey of farmers of the Astrakhan region was conducted to identify the most demanded areas of agriculture for monitoring in order to increase the effectiveness of decision-making.
Сельское хозяйство как элемент обеспечения продовольственной безопасности стран играет большую роль в мировой и региональной экономике. Использование цифровых технологий в агроиндустрии может стать одним из источников роста отрасли. Данные в сельском хозяйстве могут быть собраны с помощью разных механизмов, в том числе с использованием беспилотных летательных аппаратов. В данной статье рассматриваются вопросы выбора беспилотных летательных аппаратов для сельского хозяйства и даются рекомендации фермерам по выбору дронов для сбора данных. В частности, с помощью дронов можно собирать необходимую информацию о состоянии сельскохозяйственных полей (размер полей, уровень всхожести, уровень растительности). Основу данного исследования составляет обзор релевантной литературы по использованию беспилотных летательных аппаратов в сельском хозяйстве в разных странах и собственный опыт автора по реализации проекта с использованием агродрона на экспериментальных полях Астраханского государственного университета. Дополнительно был проведен опрос фермеров Астраханской области на предмет выявления наиболее востребованных областей сельского хозяйства для мониторинга с целью повышения эффективности принятия решений.