bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Online Tool for Survival Prediction of Extrapulmonary Small Cell Carcinoma with Random Forest
Authors: Zhang Xin 
Published: December 2022

AbstractPurposeExtrapulmonary small cell carcinoma (EPSCC) is rare, and its knowledge is mainly extrapolated from small cell lung carcinoma. Reliable survival prediction tools are lacking.Methods7813 cases of EPSCC were collected from the Surveillance Epidemiology and End Results (SEER) database as the train and internal validation cohort of the survival prediction model. The endpoints were overall survivals of 0.5-5 years. Internal validation performances of machine learning algorithms were compared, and the best model was selected. External validation was performed to evaluate the generalization ability of the selected model.ResultsAmong machine learning algorithms, the random forest model performs best on internal validation, whose area under the curve (AUC) is 0.734-0.811. The net benefit is higher than the TNM classification in decision curve analysis. The AUC of this model on the external validation cohort is 0.779-0.823. This model was then deployed online as a free, publicly available prediction tool of EPSCC. (http://42.192.80.13:4399/).ConclusionsThis study provides a well-performed online survival prediction tool for EPSCC with machine learning and large-scale data.
Prioritizing the initial problem choice in the inventive design process: Proposal of an FMEA-AHP-based method
Authors: Hanifi Masih , Chibane Hicham , Houssin Remy , Cavallucci Denis , Abdellatif Mohamed 
Published: December 2022

AbstractToday, companies are competing to improve the innovation cycle time in order to gain pioneering advantages in the market. To achieve this goal, these companies could apply the TRIZ-based systematic approaches such as Inventive the Design Methodology (IDM). Nevertheless, one of the criticisms often leveled is that these approaches are time-consuming due to the demands for building a complete map to clarify a problem situation in the initial analysis phase of the inventive design process. As a result, the Inverse Problem Graph (IPG) method has been proposed to increase the agility of the process by starting the problem formulation from an initial problem located in the lower level of a problem situation. The application of the IPG method decreases problem formulation time by identifying a limited number of problems. However, this method does not provide any tool for prioritizing the initial problems in the process. The purpose of this article is to integrate a Failure Mode Effect Analysis (FMEA) - Analytic Hierarchy Process (AHP) based method into the IPG method to prioritize the initial problems in the first phase of the design process. The proposal capability is finally tested through its application in a case study on the Lattice Structure.
Microbiome engineering optimized Antarctic microbiota to support a plant host under water deficit
Authors: Rodriguez Rodrigo , Barra Patricio , Larama Giovanni , Carrion Victor , Mora Maria de la Luz , Lauren Hale , Duran Paola 
Published: December 2022

AbstractBackground:Climate change challenges modern agriculture to develop alternative and eco-friendly solutions to alleviate (a)biotic stresses. The use of soil microbiomes from extreme environments opens new avenues to discover novel microorganisms and microbial functions to protect plants. In this study we confirm the ability of a bioinoculant, generated by natural engineering, to promote host development under water stress. Microbiome engineering was mediated through three factors i) Antarctic soil donation, ii) water deficit and iii) multigenerational tomato host selection.Results:We revealed that tomato plants growing in soils supplemented with Antarctic microbiota were tolerant to water deficit stress after 10 generations. Microbial community analysis using 16s rRNA amplicon sequencing data suggested that CandidatusNitrocosmicusandBacillusspp. were key taxa associated with the observed enhanced water deficit tolerance.Conclusions:We proposed that in situ microbiota engineering through the evolution of tridimensional factors (long-standing extreme climate adaption and host and stress selection) could represent a promising strategy for novel generation of microbial inoculants.
Microbial Treatment and Oxidative Stress in Agricultural Plants
Authors: Milentyeva Irina , Fotina Natalya , Zharko Maria , Proskuryakova Larisa 
Published: December 2022

Anthropogenic factors expose agricultural plants to abiotic and biotic stresses, one of which is oxidative stress. Oxidative stress changes cell metabolism, as well as inhibits plant growth and development. Microbial treatment is an environmentally safe method of oxidative stress prevention. The research objective was to study the antioxidant activity of microflora native to coal dumps in order to combat the oxidative stress in crops.
The study featured microorganisms isolated from technogenically disturbed soils. Pure bacterial cultures were isolated by deep inoculation on beef-extract agar. A set of experiments made it possible to define the cultural, morphological, and biochemical properties of cell walls. The antioxidant activity and the amount of indole-3-acetic acid were determined on a spectrophotometer using the ABTS reagent and the Salkowski reagent, respectively. The isolated microorganisms were identified on a Vitek 2 Compact device. The biocompatibility of strains was tested by dripping, while the increase in biomass was measured using a spectrophotometer.
The study revealed ten microbial strains with antioxidant activity ranging from 67.21 ± 3.08 to 91.05 ± 4.17%. The amount of indole-3-acetic acid varied from 8.91 ± 0.32 to 15.24 ± 0.69 mg/mL. The list of microorganisms included Klebsiella oxytoca, Enterobacter aerogenes, Pseudomonas putida, and Bacillus megaterium. The consortium of P. putida and E. aerogenes demonstrated the best results in antioxidant activity, indole-3-acetic acid, and biomass. Its ratio was 2:1 (94.53 ± 4.28%; 15.23 ± 0.56 mg/mL), while the optical density was 0.51 ± 0.02. Extra 2% glycine increased the antioxidant activity by 2.34%, compared to the control. Extra 0.5% L-tryptophan increased the amount of indole-3-acetic acid by 3.12 mg/mL and the antioxidant activity by 2.88%.
The research proved the antioxidant activity of strains isolated from microflora native to coal dumps. The consortium of P. putida and E. aerogenes (2:1) demonstrated the best results. Further research will define its ability to reduce oxidative stress in plants.
Evaluation of Methods for Obtaining Rendered Animal Fats
Authors: Vechtomova Elena , Kozlova Oksana , Orlova Maria 
Published: December 2022

The increase of functional food production makes the search for new non-traditional raw materials and the selection of methods for their processing relevant. Methods for obtaining biologically active substances of a lipid nature from valuable raw materials extracted from hunting animals (bear, badger, marmot and beaver) are of particular interest. The purpose of this review is to analyze the existing methods of obtaining rendered fat from raw fat and evaluate them.
The objects of analysis were the data of scientific articles, patents and studies on the extraction of the lipid fraction from raw materials of animal origin from 2017 to 2021. In the work, various methods for extracting fats were considered. Their systematization, analyze, and description were carried out, indicating the advantages and disadvantages.
The considered methods for extracting lipid components can be used in the process of rendering fat from non-traditional raw materials of animal origin. When using the dry rendering method, the heating of adipose tissue is carried out by the conductive method, which leads to oxidative processes and a decrease in the quality of the finished product. The wet rendering method is carried out by interacting raw fat with a heating agent – water or live steam, which, by varying the temperature and duration of exposure, allows to preserve the properties and quality of the product.
Wet rendering methods are the most effective. These methods allow to obtain a high-quality finished product, as well as to produce the maximum yield of valuable lipid components of raw materials. To accelerate the technological process with the wet method of exposure, it is possible to use a biocatalytic method. The results of the research can be used in the development of schemes for obtaining biologically active substances of a lipid nature from valuable expensive raw materials extracted from hunting animals.
Multivariate methods in modelling the removal of nitrogen and phosphorus in deep-bed two-media down-flow sand filters
Authors: Jonsson Lena Margareta , Björlenius Berndt 
Published: December 2022

Abstract
Multiple linear regression (MLR) was applied to study the operation and efficiency of simultaneous denitrification with sodium acetate (NaAc) as a carbon and energy source and the chemical precipitation of phosphate with iron salts in a pilot sand filter. Different loads were simulated with the addition of primary settled wastewater (PW) containing suspended solids (SS) and biological SS from the aeration tank. SS from PW partly passed the filter. Biological SS was caught by the filter. The validation of the model showed that phosphorus concentration and chemical oxygen demand reduction were easier to predict correctly than the time of operation of the filter. The reduction of total phosphorus differed between 0.01 and 0.31 mg P/L, and the nitrate concentration in the filtrate differed between 0 and 5.2 mg N/L when comparing the experimental values with the model. Experiments showed filtrate concentrations of 0–0.12 mg PO4-P/L, 3.0–8.8 mg NO3-N/L, and 1.9–34 mg SS/L. The addition of NaAc gave a small increase in the reduction of PO4-P probably because of the assimilation of PO4-P into the denitrifying sludge. The dosage of Fe gave a small decrease in the reduction of NO3-N probably because of PO4-P limitation for denitrifying bacteria, as Fe acts as a precipitation agent upon PO4-P.
Determination of Serum Differential Carnitine Ester Levels in HIV(+)
Patients: A Cross-Sectional Study
Authors: Binici Irfan , Akbay Halil İbrahim , Huyut Zübeyir , Alp Hamit Hakan , Karsen Hasan , Koyuncu Ismail , Gonel Ataman , Akmeşe Şükrü , Çelik Hakim 
Published: December 2022

Objective:
It has been reported that carnitine deficiency is observed in various viral
infections and in the follow-up of the prognosis of some diseases. In this cross-sectional study, we
aimed to determine how carnitine ester derivatives change in HIV-positive patients.

Material and Method:
In this study, 25 HIV-infected patients who applied to Harran University
Faculty of Medicine Education Research and Practice Hospital Infectious Diseases and Clinical
Microbiology Outpatient Clinic and who did not receive any antiretroviral treatment, as well as 25
healthy volunteers were included in the study. Carnitine ester levels in serum samples were
measured by Liquid Chromatography-Mass Spectrometry/Mass Spectrometry (LC-MS/MS) method
(Shimadzu North America, Columbia, MD, USA).

Results:
While suberoylcarnitine (C8DC), myristoleylcarnitine (C14:1), tetradecadienoylcarnitine
(C14:2), palmitoleylcarnitine (C16:1), and linoleylcarnitine (C18:2) levels in HIV(+) patients were
quite low compared to the control group, tiglylcarnitine (C5:1) levels were high (p ≤ 0.05). In
addition, C5:1 and C14:2 index parameters according to VIP score, and C5:1 and C14:1/C16 index
parameters according to ROC analysis were determined as markers with high potential to
distinguish HIV(+) patients from healthy volunteers.

Conclusion:
This study showed that levels of acylcarnitine derivatives might be altered in HIV(+)
patients, and the results obtained may contribute to a better understanding of carnitine metabolism.
New Niflumic Acid Derivatives as EGFR Inhibitors: Design, Synthesis,
In silico Studies, and Anti-proliferative Assessment
Authors: Yaseen Yahya S. , Mahmood Ammar A.R. , Abbas Ali H. , Shihab Wurood A. , Tahtamouni Lubna H. 
Published: December 2022

Background:
1,3,4-oxadizole and pyrazole derivatives are very important scaffolds for
medicinal chemistry. A literature survey revealed that they possess a wide spectrum of biological
activities including anti-inflammatory and antitumor effects.

Objectives:
To describe the synthesis and evaluation of two classes of new niflumic acid (NF) derivatives,
the 1,3,4-oxadizole derivatives (compounds 3 and (4A-E) and pyrazole derivatives (compounds
5 and 6), as EGFR tyrosine kinase inhibitors in silico and in vitro.

Methods:
The designed compounds were synthesized using conventional organic synthesis methods.
The antitumor activities of the new NF derivatives against HepG2 hepatocellular carcinoma and
A549 non-small cell lung cancer cell lines were assessed in vitro via MTT assay, flow cytometry,
RT-PCR, as well as via molecular docking studies.

Results:
The cytotoxicity results indicated that the newly synthesized NF derivatives were cytotoxic
against the two cancer cell lines, with compound 6 being the most cytotoxic, achieving the lowest
IC50 concentration. Furthermore, compound 6 targeted EGFR tyrosine kinase leading to cell cycle
arrest at the G2/M cell cycle phase and induction of apoptosis. The in vitro biological investigation
results matched those of the molecular docking analysis. In conclusion, the new NF derivatives, specifically
compound 6, exhibited favorable pharmacokinetic features and are promising EGFR tyrosine
kinase inhibitors.

Conclusion:
A series of niflumic acid derivatives (3, 4A-E, 5, and 6) were successfully created, and
FT-IR, 1H, 13CNMR, and HRMS were used to confirm their chemical structures. According to molecular
docking studies, compounds 3, 5, and 6 have the highest docking scores (ΔG), and most tested
compounds have a good pharmacokinetic profile. Results of compound 6 in vitro antitumor activities
showed that it is a promising EGFR tyrosine kinase inhibitor.
Effect of Utilizing Health Belief Model on Knowledge, Beliefs and Behaviour of Visually Impaired Women toward Breast Self-Examination
Authors: Elsawy Manal Mohamed , Mohamed Helalia Shalabi , Mousa Khadraa Mohamed 
Published: December 2022

Background
Breast self-examination is the most important behaviour for early breast cancer detection.

Aim
The aim of the study was to measure the effectiveness of utilizing a health belief model on knowledge, beliefs, and behaviour of visually impaired women toward breast self-examination. A quasi-experimental design (pre/posttest) was utilized in the current study.

Setting
At Al Nour Wal Amal Association for visually impaired women in Cairo governorate, Egypt. A purposive sample of 42 visually impaired women was included in the study. Three tools were used for the purpose of data collection  (I): Structured interviewing knowledge questionnaire;  (II): breast self-examination checklist; and  (III): health beliefs assessment scale.

Results
The findings revealed a highly statistically significant difference in visually impaired women's total knowledge, total practice, and total health beliefs scores for breast self-examination before and after the program. The women's total knowledge, behaviors, and beliefs improved in the posttest compared to the pretest.

Conclusion
The study results concluded that there was an improvement in knowledge, practice, and health beliefs regarding breast self-examination among visually impaired women after program implementation, which emphasized that educational program based on health beliefs model have a significant positive effect in improving women’s knowledge, practice, and health beliefs toward breast self-examination. It is recommended to establish educational programs to raise awareness about breast cancer and breast self-examination among visually impaired women through special schools and community associations. Community health nurses play a crucial role in educating women about breast self-examination and they are in a unique position to raise breast cancer awareness, especially among at-risk groups.
Associated Factors with Adherence Level of Elderly Patients with Hypertension to the Prescribed Medication
Authors: Theofilou Paraskevi 
Published: December 2022

Background:More and more studies have emphasized the level of adherence among patients with hypertension during the last decades.Objective:The purpose of this study is to investigate the level of adherence of elderly patients with hypertension to the medication given to them.Methods:For this purpose, a quantitative synchronous study was performed on a sample of 73 elderly patients with hypertension. The Self-Efficacy For Appropriate Medication Use Scale [SEAMS] was used to evaluate medication adherence.Results:The findings of the study showed that elderly patients with hypertension show a moderate level of adherence to the medication. Age, years of starting treatment, and years of diagnosis were significantly associated with the level of medication adherence in elderly patients with hypertension.Conclusion:More studies are needed to highlight the factors that affect the level of adherence to the medication of elderly patients with hypertension.
Protecting Older Adult Residents in Care Facilities Against Influenza and COVID-19 Using the Influenza Communication, Advice and Reporting (FluCARE) App: Prospective Cohort Mixed Methods Study
Authors: Quinn Emma , Hsiao Kai Hsun , Johnstone Travers , Gomez Maria , Parasuraman Arun , Ingleton Andrew , Hirst Nicholas , Najjar Zeina , Gupta Leena 
Published: December 2022

BackgroundEarly detection and response to influenza and COVID-19 outbreaks in aged care facilities (ACFs) are critical to minimizing health impacts. The Sydney Local Health District (SLHD) Public Health Unit (PHU) has developed and implemented a novel web-based app with integrated functions for online line listings, detection algorithms, and automatic notifications to responders, to assist ACFs in outbreak response. The goal of the Influenza Outbreak Communication, Advice and Reporting (FluCARE) app is to reduce time delays to notifications, which we hope will reduce the spread, duration, and health impacts of an influenza or COVID-19 outbreak, as well as ease workload burdens on ACF staff.ObjectiveThe specific aims of the study were to (1) evaluate the acceptability and user satisfaction of the implementation and use of FluCARE in helping ACFs recognize, notify, and manage influenza and COVID-19 outbreaks in their facility; (2) identify the safety of FluCARE and any potential adverse outcomes of using the app; and (3) identify any perceived barriers or facilitators to the implementation and use of FluCARE from the ACF user perspective.MethodsThe FluCARE app was piloted from September 2019 to December 2020 in the SLHD. Associated implementation included promotion and engagement, user training, and operational policies. Participating ACF staff were invited to complete a posttraining survey. Staff were also invited to complete a postpilot evaluation survey that included the user Mobile Application Rating Scale (uMARS) measuring app acceptance, utility, and barriers and facilitators to use. An issues log was also prospectively maintained to assess safety. Survey data were analyzed descriptively or via content analysis where appropriate.ResultsSurveys were completed by 31 consenting users from 27 ACFs. FluCARE was rated 3.91 of 5 overall on the uMARS. Of the 31 users, 25 (80%) would definitely use FluCARE for future outbreaks, and all users agreed that the app was useful for identifying influenza and COVID-19 outbreaks at their facilities. There were no reported critical issues with incorrect or missed outbreak detection. User training, particularly online training modules, and technical support were identified as key facilitators to FluCARE use.ConclusionsFluCARE is an acceptable, useful, and safe app to assist ACF staff with early detection and response to influenza and COVID-19 outbreaks. This study supports feasibility for ongoing implementation and efficacy evaluation, followed by scale-up into other health districts in New South Wales.
Aktivitas Antimikroba Ekstrak Etil Asetat Fungi Endofit Eutypa linearis
Authors: Gemantari Baiq Maylinda , Romadhonsyah Fitra , Nurrochmad Arief , Wahyuono Subagus , Astuti Puji 
Published: December 2022

Fungi endofit banyak dilaporkan mampu memproduksi senyawa metabolit yang memiliki beragam aktivitas biologis. Diisolasi dari salah satu tanaman berkhasiat Indonesia yang dikenal dengan nama tanaman jinten (Coleus amboinicus Lour.), pada penelitian ini dilakukan observasi aktivitas antimikroba fungi endofit Eutypa linearis. Ekstrak etil asetat dari media fermentasi E.linearis dalam beragam konsentrasi diujikan kepada beberapa mikroba bakteri dan fungi yakni Staphyloccocus aureus, Pseudomonas aeruginosa, Bacillus subtilis, dan Candida albicans. Aktivitas antimikroba dievaluasi menggunakan metode mikrodilusi pada media Mueller Hinton Broth untuk kultur bakteri dan Brain Heart Infussion Broth untuk kultur fungi. Nilai optical density pada panjang gelombang 600 nm yang diperoleh dari penggunaan microplate reader digunakan untuk menghitung nilai IC50 ekstrak. Hasil penelitian menunjukkan nilai IC50 ekstrak etil asetat media fermentasi E.linearis pada S.aureus adalah sebesar 260,69 µg/mL; P.aeruginosa 359,32 µg/mL; B.subtilis 163,74 µg/mL; dan C.albicans 92,75 µg/mL. Berdasarkan metode bioautografi kontak, diketahui senyawa aktif sebagai antimikroba tersebut merupakan kelompok senyawa yang polar.
Analisis potensi penerapan teknologi produksi bersih pada c-maxi alloycast, Yogyakarta
Authors: Masri Dewi , Wagiman Wagiman , Sopha Bertha Maya 
Published: December 2022

CV C-Maxi Alloycast is an industry engaged in the manufacture of household appliances (pans) made of aluminum which is located in Yogyakarta. The aim of the study was to identify the potential application of clean production principles in CV C-Maxi Alloycast. The methods used were production process mapping, waste analysis through liquid waste testing and potential analysis of clean production principles. The results obtained for the production process were smelting aluminum and scrap, pouring molten metal into molds, lifting molds and providing coolant, lifting castings, turning, filing, quality control, storage and distribution. Based on the laboratory test, the characteristics of the liquid waste produced by the CV C-Maxi Alloycast were pH 8.9; COD 52.1 mg/L; BOD 21.4 mg/L; TSS 6660 mg/L; Fe 4,2440 mg/L; Cu 0.0130 mg/L; and Zn 0.0893 mg/L. All parameters indicate that the value meets the quality standard, but the TSS content did not meet the NAB (Threshold Value) which refers to the Regulation of the Minister of the Environment of the Republic of Indonesia No. 5 of 2014 and the Regulation of the Special Region of Yogyakarta (DIY) No. 7 of 2016. Clean production opportunities were: good housekeeping, application of 3R (Reduce, Reuse, Recycle) on solid waste, construction of B3 Waste TPS and capacity building of human resources. Environmental performance had increased based on the Green Industry Standard (SIH) from level 1 to level 2 with a value of 53% to 65% with the implementation of clean production. The economic performance of implementing clean production gains a profit of Rp. 77,412,000,-/year, then the second alternative, namely recycling aluminum scrap is an economical alternative to clean technology with a 5-year NPV value of Rp. 37,853,056,558,- Implementing clean production can have a positive impact on the environment and the economy.