bluuebunny/crossref_metadata_2025_split huggingface dataset:
Novel Hypoxia-related Biomarkers and Targeted Drugs for Acute
Myocardial Infarction Revealed by Bioinformatics
Authors: Xu Lei , Zeng Yuchun , Li Wenying , Zeng Xiaoquan , Zhong Guofu , Chen Junteng , Wang Ling , Xu Mujuan , Zeng Qianlong 
Published: December 2024

Background:
Acute myocardial infarction (MI) is a serious emergency disease with high
mortality. Hypoxia is associated with unfavorable outcomes in cancer patients. Nevertheless, there
remains a shortage of effective hypoxia-related biomarkers to forecast the prognosis of acute MI
patients and to identify targeted therapies.

Methods:
First, data on acute MI patient samples and hypoxia-related genes were obtained based on
public databases. Hypoxia-related gene scores were calculated by single sample Gene Set Enrichment
Analysis (ssGSEA). Hypoxia-related hub genes in acute MI were screened via weighted correlation
network analysis (WGCNA). Acute MI samples were analyzed for differentially expressed
genes (DEGs) using the limma package and intersected with hub gene for hypoxia-related DEGs.
Then, machine learning methods were used to identify hypoxia-related biomarkers in acute MI. Gene
set enrichment analysis (GSEA) and immune infiltration analysis were performed on biomarkers.
Targeted drug prediction and molecular docking were conducted based on biomarkers.

Results:
The hypoxia-related gene score of the acute MI group was higher than the control group,
and 319 hypoxia-related hub genes in acute MI were acquired. A total of 7 hypoxia-related DEGs
were obtained by WGCNA and DEGs analysis. Then, 2 hypoxia-related biomarkers in acute MI,
HAUS3 and SLC2A3, were identified based on machine learning algorithms. Both HAUS3 and
SLC2A3 were enriched in the ribosome and spliceosome pathways. The expression levels of SLC2A3
and HAUS3 were correlated with immune cell infiltration. Furthermore, 8-hydroxyquinoline, perhexiline,
and sotalol were selected as the targeted drugs, which could bind to HAUS3 and SLC2A3.

Conclusion:
In short, we screened two important hypoxia-related biomarkers and three potential
target drugs based on bioinformatics techniques. This provides new ideas and potential drug targets
for early diagnosis and targeted therapy of acute MI.
Desarrollo de un modelo de evaluación de parámetros ambientales para lograr el confort térmico en viviendas de Kallapuma
Authors: Girón Pizarro María Lourdes , Polo Bravo Carlos Armando , Gómez León Mónica Marcela 
Published: December 2024

La presente investigación se basa en el estudio del confort térmico de los pobladores del Centro Poblado Menor de Kallapuma ubicado a 4258 m.s.n.m en el distrito de Tarata, provincia y región de Tacna.
Para evaluar los parámetros ambientales se aplicaron encuestas de satisfacción teniendo en cuenta la vestimenta, alimentación, actividad física y la comodidad térmica. Así mismo se utilizó un dispositivo denominado TSVR, que permitió medir la temperatura, humedad relativa, percepciones de confort como la sensación térmica, información personal e indumentaria que utilizaba el usuario, denominado voto de sensación térmica (VST).
Estas mediciones fueron tomadas en los meses de mayo, junio y julio del año 2022. Se analizó la aceptabilidad real que tienen los usuarios de las condiciones térmicas. Una vez obtenidos los datos, se identificó la temperatura de neutralidad y los rangos de confort térmico para la población del Centro Poblado Menor de Kallapuma teniendo en cuenta las normas ASHRAE 55 e ISO 7730 y comparándose con modelos desarrollados por autores como Fanger, Humphreys, Givoni, entre otros.
Conocer las condiciones definidas de confort térmico y el tipo de población favorecerá el diseño de viviendas en zonas altoandinas. Expresar las condiciones relacionadas a la temperatura, humedad relativa y percepciones de confort térmico facilita la aplicación de estrategias pasivas de acondicionamiento ambiental.
Functional Equations with an Anti-Endomorphism for Functions with Multidimensional Codomains
Authors: Ouhabi Ayoub , Zeglami Driss , Ayoubi Mohamed 
Published: December 2024

Abstract
Let S be a semigroup, ℍ be the skew field of quaternions, and ψ: S → S be an anti-endomorphism. We determine the general solution of the functional equation

g

(

x
y

)

-
g

(

x
ψ

(
y
)

)

=
2
g

(
x
)

g

(
y
)

,

x
,
y
∈
S
,

g\left( {xy} \right) - g\left( {x\psi \left( y \right)} \right) = 2g\left( x \right)g\left( y \right),\,\,\,\,x,y \in S,

where g : S → ℂ is the unknown function. And when S = M is a monoid, we solve the functional equation

g

(

x
y

)

+
g

(

x
ψ

(
y
)

)

=
2
g

(
x
)

g

(
y
)

,

x
,
y
∈
M
,

g\left( {xy} \right) + g\left( {x\psi \left( y \right)} \right) = 2g\left( x \right)g\left( y \right),\,\,\,\,x,y \in M,

where g : M → ℍ is the unknown function.
The Effect of Indoleacetic Acid and Indole-3-Butyric Acid Concentrations on the Rooting and Growth of Thymus atlanticus Cuttings
Authors: Ranya Hajjami , Brahim Ouahzizi , Hamza Elbouny , Fathalah Elwahab , Chakib Alem 
Published: December 2024

Abstract
This study aimed to evaluate the effect of indole-3-butyric acid (IBA) and indole-3-acetic acid (IAA) concentrations (0 ppm, 300 ppm, 500 ppm, 750 ppm, 1000 ppm, and 1500 ppm) on root development and sprouting of Thymus atlanticus stem cuttings. The results showed a significant effect of auxin type and concentration on survival rate, rooting percentage, root and shoot length, number of shoots, fresh and dry weight. The most efficient was IBA at 1000 ppm, which resulted in a survival rate of 62%, a rooting percentage of 57%, a shoot length of 7.5 cm, and 3.1 new shoots per cutting. These findings highlight the potential of IBA to improve the propagation of Thymus atlanticus using 3–4 cm long shoots, with has important implications for commercial propagation and ecological rehabilitation.
Gambaran Proses Audit Sistem Manajemen Keselamatan Pertambangan (SMKP) di PT “X” Tahun 2022
Authors: Dihartawan Dihartawan , Rizky Putri Rahayu , Ernyasih Ernyasih 
Published: December 2024

Berdasarkan Minerba One Data Indonesia kasus kecelakaan tambang pada tahun 2017 terjadi 73 kasus kecelakaan, tahun 2018 terjadi 70 kasus kecelakaan, tahun 2019 terjadi 157 kasus kecelakaan, tahun 2020 terjadi 145 kasus kecelakaan dan pada tahun 2021 terjadi 104 kasus kecelakaan, baik tergolong kecelakaan cidera ringan, cidera berat, dan kematian. Penelitian ini kualitatif deskriptif dengan sumber data menggunakan data primer melalui observasi serta wawancara dan data sekunder melalui hasil Audit Internal SMKP menggunakan formulir audit internal berdasarkan Kepdirjen Minerba No.185.K/37.04/DJB/2019. Analisis data terdiri dari reduksi data, penyajian data, dan penarikan kesimpulan. Gambaran Proses Audit SMKP Minerba di PT “X” tahun 2022 penerapan Elemen I Kebijakan sudah sangat baik (89,47%). Elemen II Perencanaan sudah sangat baik (82,75%), elemen III Organisasi dan Personel dengan baik (72,05%), elemen IV Implementasi dengan baik (70,28%), elemen V Pemantauan, Evaluasi, dan Tindak Lanjut dengan baik (73,33%), elemen VI Dokumentasi dengan baik (75,00%), elemen VII Tinjauan Manajemen dan Peningkatan Kinerja sangat baik (92,30%). Dalam kesesuaian penerapan SMKP Minerba di PT “X” tahun 2022 berdasarkan hasil gap analysis masih terdapat beberapa temuan ketidaksesuaian mayor pada Elemen IV Implementasi. Meningkatkan elemen-elemen agar penerapan SMKP Minerba di perusahaan bisa lebih baik lagi. Based on Minerba One Data Indonesia, there were 73 cases of mining accidents in 2017, 70 accidents in 2018, 157 accidents in 2019, 145 accidents in 2020 and 104 accidents in 2021, both classified as minor injury accidents. , serious injury, and death. This research is descriptive qualitative with data sources using primary data through observation and interviews and secondary data through the results of the SMKP Internal Audit using an internal audit form based on the Director General of Mineral and Coal Decree No.185.K/37.04/DJB/2019. Data analysis consists of data reduction, data presentation, and drawing conclusions. Overview of the Minerba SMKP Audit Process at PT "X" in 2022, the implementation of Policy Element I is very good (89.47%). Element II Planning is very good (82.75%), element III Organization and Personnel is good (72.05%), element IV Implementation is good (70.28%), element V Monitoring, Evaluation and Follow-up is good (73.33%), element VI Documentation is good (75.00%), element VII Management Review and Performance Improvement is very good (92.30%). In terms of suitability for the implementation of Minerba SMKP at PT "X" in 2022, based on the results of the gap analysis, there are still several major nonconformity findings in Element IV of Implementation. Improving elements so that the implementation of Mineral and Coal SMKP in companies can be even better
The ideologization of the Russian language after the 1917 Revolution (based on the materials of the Krasnaya Gazeta)
Authors: Gao Liya 
Published: December 2024

The issue of ideologizing the language of Soviet newspapers of the post-revolutionary period is considered. Ideologization is understood as subordination to a system of political, legal, moral, aesthetic, religious and philosophical ideas characteristic of a certain period of society's development. The relevance of the research is due to the fact that the ideologization of language continues at the present stage of its development and should be studied taking into account its historical foundations. The author dwells on those linguistic means by which the ideologization of the language of the "Red Newspaper" took place in 1920, highlighting among them new nominative units — names of new realities, figurative and expressive means, speech stamps, clerical style words, colloquial vocabulary, pronouns we and ours, slogans. It is noted that the ideologization of language was one of the ways to influence the reader in the 1920s, when language became the most important tool for spreading ideological views and forming a new consciousness of the citizens of the Soviet Country. It is concluded that the ideologization of the language reflected in the publication "Krasnaya Gazeta" made it possible to rebuild public thinking, form new ideological stereotypes and thereby strengthen the opinion of citizens about the strength of the new world and its focus on meeting the needs of ordinary people. The relevance of the research is due to the fact that the ideologization of language continues at the present stage of its development and should be studied taking into account its historical foundations. The author dwells on those linguistic means by which the ideologization of the language of the "Red Newspaper" took place in 1920, highlighting among them new nominative units — names of new realities, figurative and expressive means, speech stamps, clerical style words, colloquial vocabulary, pronouns we and ours, slogans. It is noted that the ideologization of language was one of the ways to influence the reader in the 1920s, when language became the most important tool for spreading ideological views and forming a new consciousness of the citizens of the Soviet Country. It is concluded that the ideologization of language, reflected in the publication "Krasnaya Gazeta", allowed to rebuild public thinking, form new ideological stereotypes and thereby strengthen the opinion of citizens about the strength of the new world and its focus on meeting the needs of ordinary people.
Cascade of care for people with positive symptoms of common cancers in selected primary health centres of Puducherry: An explanatory mixed-method study
Authors: Mitra Srijeeta , Sahu Swaroop Kumar , Lakshminarayanan Subitha , Raja Kalaiarasi , V.C. Sunitha 
Published: December 2024

Background & objectives
Cancer is a leading cause of death worldwide and constitutes a public health priority. Delays in diagnosis and treatment of cancer can adversely impact survival, recovery, and cost of treatment. The objective of this study was to estimate the proportion seeking timely care among those having early warning signals for oral, breast or cervical cancer and to explore the facilitators and barriers to early detection.

Methods
The study was conducted among 241 participants, including those having early signals for selected cancers and women who underwent opportunistic cervical cancer screening in the selected health facilities. Information regarding symptom appearance, presentation to any registered medical practitioner, confirmatory diagnosis, and treatment initiation were obtained from medical records. In-depth Interviews (IDIs) were conducted among six participants to explore facilitators and barriers to cancer detection.

Results
Among 7300 people screened using the Community Based Assessment Checklist (CBAC), 128 (1.7%) had warning signals for any one of the cancers. The percentage of people who sought medical care for oral, breast and cervical cancer symptoms were 80 per cent, 82 per cent and 57 per cent, respectively. Among those who underwent opportunistic cervical cancer screening in health centres (113), the screen positivity rate was 11 per cent, and adherence to referral for confirmation was 80 per cent. The median pre-diagnostic and diagnostic delays for the three cancers were 79 [Interquartile range (IQR): 44-126] and 27 (IQR: 13-73) days. One individual was diagnosed with oral cancer, and the treatment delay was 27 days. Facilitators identified for early seeking of care were encouragement by family and low-cost treatment at public facilities. Major barriers identified were neglect of symptoms by participants and their responsibilities towards family.

Interpretation & conclusions
Although very few people were identified to have early warning symptoms using CBAC, a substantial proportion of them sought medical care and underwent confirmatory diagnosis. Screen positivity rate and treatment-seeking behaviour were better among women undergoing opportunistic cervical cancer screening in the health centres. Measures need to be taken to improve health literacy among people to reduce diagnostic delay for cancers.
Surveillance for surgical site infections developed during hospital stay & after discharge: A multicentric study
Authors: Srivastav Sharad , Khurana Surbhi , Mukhopadhyay Chiranjay , Myatra Sheila N. , Katyal Sonal , Katoch Omika , Mittal Samarth , Trikha Vivek , Sharma Vijay , Farooque Kamran , Kumar Subodh , Sagar Sushma , Gupta Amit , Bhat Shyamasunder N. , S.S. Prasad , Divatia Jigeeshu Vasishtha , Puri Ajay , Nayak Prakash , Gulia Ashish , Deshmukh Anuja , Thiagarajan Shivakumar , Biswas Sanjay , Walia Kamini , Malhotra Rajesh , Mathur Purva 
Published: December 2024

Background & objectives
Surgical site infections (SSIs) are among the most prevalent healthcare-associated infections (HCAIs). They cause significant morbidity, leading to excess health expenditures and increased length of hospital stay. Despite a high population burden, data on post-discharge SSIs is lacking from low-and middle-income countries (LMICs). There is no existing surveillance system of SSIs in India that covers the post-discharge period. Therefore, we proposed a multicentric analysis to estimate the proportion and identify the risk factors associated with SSIs occurring during hospital stay and after discharge.

Methods
SSI Surveillance was conducted in three hospitals in different parts of India according to the Centers for Disease Control and Prevention (CDC) guidelines (30 days-6 months). An indigenous database was developed for data entry and analysis. Logistic regression analysis was performed to test for an association between SSI and potential risk factors.

Results
A total of 161 out of 3090 patients acquired SSI, resulting in a 5.2 per cent SSI incidence. Debridement surgery, which was carried out with either an amputation, open reduction internal fixation surgery (ORIF), or closed reduction internal fixation (CRIF) surgery, had the highest SSI rate (54.2%). Clean, polluted wound class and surgeries lasting longer than 120 minutes were substantially linked to an increased risk of SSI.

Interpretation & conclusions
Post-discharge surveillance helped with the detection of 66 per cent of SSI cases. Combination surgeries were seen to increase the risk of SSIs in patients.
Management of T cell responses by anesthetic drugs-propofol & isoflurane in perioperative breast cancer patients: A prospective hospital-based study
Authors: Saha Priyanka , Das Deepanwita , Behera Santosh Kumar , Bhatia Deepak , Kumar Sunil , Hajra Srabanti , Das Dipkana , Chakrabarti Deepa , Sinha Dona 
Published: December 2024

Background & objectives
The choice of anesthetic for better perioperative conservation of immune responses has always been contentious. This study investigated the differential impact of the intravenous anesthetic, propofol, and the volatile anesthetic, isoflurane on the T cell immune responses, if any, among individuals going through perioperative breast cancer.

Methods
Perioperative blood samples (preoperative, intraoperative and postoperative) collected from participants with breast cancer in two arms namely isoflurane arm (n=50) and the propofol arm (n=50) were analyzed for T cell immune response using flow cytometry and ELISA. The interactions of anesthetics with CD4/CD8 were probed with molecular docking and molecular dynamic (MD) simulations.

Results
Linear mixed model analysis showed that isoflurane in comparison to propofol inhibited CD4+ helper (Th) [β-coefficient: -8.75; 95% CI: -13.00 to -4.51] and CD19+ B cell (β: -7.51; 95% CI: -15.46 to 0.44) frequencies during the intraoperative period in perioperative breast cancer patients. Further, interleukin (IL)-10 and IL-12 were significantly increased during the intra- and postoperative periods in the isoflurane group as compared to the propofol group. Molecular docking (MD) validated propofol’s better binding energy with CD4/CD8 than isoflurane. MD simulations propagated that in contrast to isoflurane, propofol formed a more compact and stabilized structure with CD4/CD8, making the amino acid residues on the surface of CD4/CD8 inaccessible for any interaction.

Interpretation & conclusions
The clinical observations and the in silico findings exhibited that propofol in comparison to isoflurane better regulated T cell immuno-inflammatory response in perioperative breast cancer patients.
Сравнение инструментов Sketch Engine и TermoStat для извлечения терминологии
Authors: Новикова А.А. 
Published: December 2024

В статье приводятся результаты использования функции term extraction на базе небольшого англоязычного корпуса технических текстов предметной области «Водоснабжение». На данный момент существует большое количество специальных программных инструментов для извлечения терминологии и работы с текстами разного объема и тематики. Автоматическая обработка текстов на естественном языке предполагает использование методов корпусной лингвистики. Корпус текстов – собрание текстов, объединенных одной тематикой, представляющее своеобразную модель какого-либо языка, и используемое в качестве базы исследования языка. Существует множество специальных программ, позволяющих пользователю создавать корпуса текстов и с их помощью решать узкоспециализированные лингвистические задачи. Извлечение терминов – важная задача в работе лингвиста-лексикографа или переводчика, поскольку термины составляют огромный пласт лексики в языках для специальных целей. По причине того, что новые термины появляются постоянно, необходимо периодически дополнять и корректировать госты, словари, глоссарии и т.д. Своевременно фиксировать термины в словарях и глоссариях также необходимо для корректной работы онлайн-словарей и систем машинного перевода, более того, это значительно облегчает работу специалисту-переводчику. В этом ключе представляют интерес программы Sketch Engine и TermoStat, применительно к решению задач по извлечению терминологии.
The paper considers comparison of Sketch Engine and TermoStat tools in automatic term extraction for a small English-language corpus. The corpus includes technical texts of “Water supply” subject domain. Nowadays there are a lot of specialized programme tools for term extraction purposes. These tools also allow to work with large text data. The methods of corpus linguistics are often used in natural language processing. Text corpus is a collection of texts with specific genre. It could represent a so-called “language model” in general and is often used as a basis for language research. There are many special programme tools which allow to create different corpora. Different specific linguistic problems could be solved using text corpora, especially term extraction which is very important task for linguists, lexicographers and terminologists to solve. It is very important to correct and improve terminological standarts, glossaries, dictionaries, etc. because of new terms which appear permanently. It is also important for stable work of online-dictionaries and machine translation systems, and it also helps translation specialists. The results of using term extraction tools with small English text corpus of water supply subject domain are discussed in the paper.
Интеллектуально-поисковая система для работы с большими данными
Authors: Астахова И.Ф. , Маковий К.А. , Никитин Л.С. , Хицкова Ю.В. 
Published: December 2024

В статье представлена система моделирования информационно-поисковой системы в сети Интернет. Предлагается разработанное приложение, которое обеспечивает работу информационно-поисковой системы по следующим направлениям: по модели сбора данных, по решению проблемы индексирования, по модели ранжирования, по решению проблемы хранения. Решения в этой области развиваются наиболее активно, благодаря прогрессу в сфере искусственного интеллекта, облачных технологий и обработки естественных языков. Эти факторы сделали исследования в области разработки интеллектуальных информационно-поисковых систем (ИПС), осуществляющих сбор информации в сети Интернет и реализующих поиск по найденным данным, доступными при отсутствии внушительных материальных ресурсов. Основные проблемы, которые необходимо решить при разработке ИПС: проблема сбора данных; проблема индексирования; модель индекса, ее выбор и развитие; проблема ранжирования; проблема хранения; проблема оценки качества. Интеллектуальность поиска обеспечена за счёт использования ранжирования с помощью методов tf-idf, векторной модели и ссылочного анализа, позволяющих находить релевантные документы, не содержащие прямого вхождения слов из запросов и сортировать их по степени соответствия запросу. Разработанное приложение основано на языке Python, проведены тестовые запуски системы, показавшие ее работоспособность, объясняется организация интеллектуальной составляющей.
The article describes a system for modeling an information retrieval system on the Internet. The developed application is described, which allows the operation of the information retrieval system according to the following parameters: according to the data collection model, to the solution of the indexing problem, according to the ranking model, to the solution of the storage problem. Solutions in this area are developing most actively, thanks to progress in the field of artificial intelligence, cloud technologies and natural language processing. These factors have made re-search, the development of intelligent information retrieval systems (IRS), which collect information on the Internet and implement a search based on the data found. This search is available in the absence of impressive material resources. The main problems to be solved in the development of IRS: the problem of data collection; indexing problem; index model, its choice and development; ranking problem; storage problem; quality assessment problem. Search intelligence is provided through the use of ranking using the tf-idf methods, vector model and link analysis, which allow you to find relevant documents that do not contain direct occurrences of words from queries and sort them according to the degree of matching the query. The developed application in the Python language is described, test runs of the system were carried out, which showed its performance, and the organization of the intellectual component is explained.