bluuebunny/crossref_metadata_2025_split huggingface dataset:
Theoretical study on copper adsorption on ZnO surfaces for CO2 hydrogenation to methanol
Authors: Salmi Mustafa Al , Vis Dunaboyina Sri Maha , Al-Harrasi Ahmed 
Published: September 2023

Abstract

The study of Cu on ZnO surfaces is a topic of ongoing research due to the importance of Cu as a promoter in the low-temperature synthesis of methanol, the water-gas shift process, and methanol steam reforming. The role of ZnO in supporting the stabilization of the Cu atoms and promoting the CO2 hydrogenation reaction is multifaceted and involves a range of physical and chemical factors. In this work, we used density functional theory (DFT) calculations to investigate the Cu adsorption on ZnO surfaces on different sites. Bader charge analysis, adsorption energy, and phonon inelastic neutron scattering (INS) associated with most stable systems were calculated and compared with previous theoretical and experimental results. We found that atomic Cu adsorption on hollow site of ZnO(111) is the most stable site and most favorable site for Cu adsorption comparing to other ZnO surfaces. This is due to the strong metal-oxygen interaction between Cu and the ZnO surface. The results suggest that the Cu/ZnO catalyst with Cu atoms at hollow site is most likely to be active for CO2 hydrogenation. We concluded that further studies are needed to investigate the catalytic activity of this catalyst under realistic reaction conditions with realistic models of Cu supported on ZnO.
Clinical Features and Outcomes of Orthopaedic Injuries After the Kahramanmaraş Earthquake: a Retrospective Study From a Hospital Located in the Affected Region
Authors: Gök Murat , Melik Mehmet Ali 
Published: September 2023

Abstract
Background
The purpose of this retrospective, single-institutional study was to report the clinical features and outcomes of orthopaedic injuries after the Kahramanmaraş earthquake.
Methods
An institutional database review was conducted to determine individual causalities among patients admitted to the emergency department of our hospital after the Kahramanmaraş earthquake. Trauma patients referred to orthopaedics and traumatology were identified. Patient records were checked for injury type, fracture site, treatment type (conservative or surgical), surgical technique, and outcome. Diagnosis with crush syndrome and the need for haemodialysis were also noted. Bedside fasciotomy was undertaken based on the urgency of the patient’s condition as well as the availability of the operating theatre. A team consisting of a trauma surgeon, a plastic surgeon, a board-certified physician in infectious disease, a reanimation specialist, a general surgeon and a nephrologist followed up with the patients.
Results
Within the first 7 days following the earthquake, 265 patients were admitted to the emergency department, and 112 (42.2%) of them were referred to orthopaedics and traumatology. There were 32 (28.5%) patients diagnosed with acute compartment syndrome. Fasciotomy was performed on 43 extremities of 32 patients. Of these extremities, 5 (11.6%) were upper and 38 (88.4%) were lower extremities, and the risk of acute compartment syndrome was significantly higher for lower extremities (5/43 vs. 38/43, respectively; p = 0.001). A significant relationship was found between the absence of diaphyseal fracture in the extremity and the development of acute compartment syndrome (p = 0.0001). The surgeries of 16 (50%) of the patients who underwent fasciotomy were performed in the emergency department. There was no significant difference in terms of complications and outcomes between performing the fasciotomy at the bedside or in the operating theatre (p = 0.456).
Conclusions
Fasciotomy appears to be a crucial surgical procedure for the care of earthquake causalities. Fasciotomy can be safely performed as a bedside procedure based on the urgency of the patient’s condition as well as the availability of the operating theatre.
Surgical stabilization of rib fractures in patients with open flail chest results in improved clinical outcomes
Authors: WANG Yu-fei , WU Yong-kun , GUO Zhan-lin 
Published: September 2023

Abstract
Background: An open flail chest is a life-threatening injury prone to postoperative hardware infection due to open contaminated wounds. While there is considerable debate on performing surgical stabilization of rib fractures (SSRF) or not, few studies substantiate a decision.
Methods: The 3 patients with open flail chest treated with SSRF were retrospectively analyzed. Clinical data were collected, including patient demographics, injury characteristics, surgical details, postoperative recovery, and follow-up.
Results: The described instances of three patients subjected to emergency SSRF following open chest injuries demonstrated positive postoperative recovery. There was no incidence of hardware infections or chest wall deformities detected at 15, 63, and 115 months postoperative follow-ups.
Conclusion: SSRF may yield beneficial long-term results for patients experiencing open chest injuries. The potential risk of hardware infection should not automatically preclude the consideration of SSRF as a viable therapeutic option.
Enhancing Disease Classification in Paddy Fields: A Stratified Cross-Validation Approach
Authors: R Elakya , Manoranjitham T. 
Published: September 2023

Abstract
In India rice (Oryza sativa) is an important food staple. It is the third highest production among worldwide. Rice is highly rich in calorie so morethan one-fifth of the population in world consumed Rice. Abiotic and Biotic factors plays a vital role in production of Rice as it affects and causes more damage. Biotic factors like diseases and pests leads to 70% of loss in crop production. Identifying diseases in early stage is a tedious concern for every farmer. Once the disease is predicted in early stage, solution or necessary steps can be taken to reduce the damage. Agricultural officers or External experts have to check manually and give the remedial solutions for this issue. But, due to lack of available resource external experts cannot visit field for every time. So identifying the correct disease is very difficult. One solution for this concern is by using latest advancement in technology. Convolutional Neural network is mainly used for classifying images. We have taken 10,407 labelled images for training the model and 3,469 images for testing the model. We used transfer learning model namely InceptionV3, ResNet50, VGG16, MobileNetV2, and EfficientNetB0 to obtain the result. Finally CNN model ResNet is applied with Stratified Cross-validation fastai techniques. K-fold cross validation strategy obtained an highest accuracy of 98.81% which is more accurate than traditional Transfer learning models.
Mechanical Fracture Behavior Study and Service Life Prediction of single-notch and double-notch specimens in ABS with internal notches
Authors: Bouhsiss Hassan , Achraf WAHID , Mouradi Houda , En-naji Abderrazak , Gugouch Fatima , Kartouni Abdekarim , ghorba Mohammed El 
Published: September 2023

Abstract
The advancement of polymers continues to expand relentlessly, playing an increasingly significant role in our daily lives. Ongoing developments in polymer science have revolutionized numerous industries and brought about a multitude of applications. From mass-market industries to high-performance sectors, polymers are omnipresent in all aspects of our lives, highlighting the need for a more rigorous understanding of their properties, characteristics, and behavior. In this context, two approaches have been adopted to estimate the critical failure time of ABS specimens: one involving virgin specimens and the other artificially pre-damaged with notches of varying diameters.
The first approach is based on damage mechanics and utilizes a modified damage model, while the second approach relies on fracture mechanics and utilizes the Griffith theory to estimate the critical notch from which the specimens should be rejected.
These two methods allow us to track material degradation and predict the moment when damage acceleration occurs. This technique provides industrial stakeholders with the opportunity to implement a preventive maintenance strategy.
Enhanced virtual machine consolidation : an in-depth look at ANN and BiGRU based virtual machine selection
Authors: alqasmy Esraa , alhafez Nizar 
Published: September 2023

Abstract
The proliferation of cloud computing has been transformative across multiple sectors, enabling unprecedented computational capabilities. With the sheer scale of operations in modern data centers, there is an inevitable surge in energy demands. This exponential growth underscores the need for efficient resource allocation strategies that can ensure sustainability without compromising on performance. Recognizing this challenge, numerous strategies have been introduced in recent years for effective virtual machine (VM) distribution and allocation in data centers. Such strategies strive to strike a balance between maximizing resource utilization and mitigating energy consumption. In pursuit of a more accurate and energy-efficient cloud environment, this research delves into the intricacies of dynamic VM consolidation. We introduce a novel model that marries the prowess of deep learning techniques with traditional machine learning. Specifically, our model harnesses the spatial feature extraction capabilities of Artificial Neural Networks (ANN) with Bidirectional Gated Recurrent Units (BiGRU) and enriches it with an attention mechanism, emphasizing the salient features. Utilizing key metrics such as CPU requests, memory requests, average memory consumption, and average CPU utilization, our approach offers a granular insight into server performance, enabling informed VM migration decisions. Empirical validation on a dataset showcases the potential of our model, achieving superior accuracy rates in VM failure prediction. When compared to benchmark strategies, our approach demonstrates improvements in prediction accuracy, underscoring its value in fostering a more resilient and efficient cloud computing ecosystem. The validity of the proposed model was verified using a dataset from Google, and the results demonstrated an improvement in accuracy by approximately 3.5–27% compared to other algorithms proposed in the reference study.
Is cross-species horizontal gene transfer responsible for gallbladder carcinogenesis
Authors: Rajput Monika , Pandey Manoj , Dixit Ruhi , Shukla Vijay K 
Published: September 2023

Abstract
Background: Cross-species horizontal gene transfer (HGT) involves the transfer of genetic material between different species of organisms. In recent years, mounting evidence has emerged that cross-species HGT does take place and may play a role in the development and progression of diseases.
Methods: Transcriptomic data obtained from patients with gallbladder cancer (GBC)was assessed for the differential expression of antisense RNAs (asRNAs). Cross-species blast analysis was performed with viral, bacterial, fungal, and ancient human genomes to elucidate the evolutionary cross species origins of these differential asRNAs. Functional enrichment analysis and text mining were conducted and a network of asRNAs targeting mRNAs was constructed to understand the function of differential asRNAs better.
Results: A total of 17 differentially expressed antisense RNAs (asRNAs) were identified in gallbladder cancer tissue. BLAST analysis of 15 of these asRNAs (AFAP1-AS1, HMGA2-AS1, MNX1-AS1, SLC2A1-AS1, BBOX1-AS1, ELFN1-AS1, TRPM2-AS, DNAH17-AS1, DCST1-AS1, VPS9D1-AS1, MIR1-1HG-AS1, HAND2-AS1, PGM5P4-AS1, PGM5P3-AS1, and MAGI2-AS) showed varying degree of similarities with bacterial and viral genomes, except for UNC5B-AS1 and SOX21-AS1, which were conserved during evolution. Two of these asRNAs (VPS9D1-AS1 and SLC2A1-AS1) exhibited a high degree of similarity with viral genomes including (Chikungunya virus, Human immunodeficiency virus 1, Stealth virus 1, and Zika virus) and bacterial genomes including (Staphylococcus sp., Bradyrhizobium sp., Pasteurella multocida sp., and, Klebsiella pneumoniae sp.), indicating potential HGT during evolution.
Conclusion: The results provide novel evidence supporting the hypothesis that differentially expressed asRNAs in GBC exhibit varying sequence similarity with bacterial, viral, and ancient human genomes, indicating a potential shared evolutionary origin. These non-coding genes are enriched with methylation and were found to be associated with cancer-related pathways, including the P53 and PI3K-AKT signaling pathways, suggesting their possible involvement in tumor development.
Synergistic V5S8/CoS Nanoparticles-Embedded Carbon Nanofiber as Binder-Free Flexible Anode for Sodium-Ion Batteries
Authors: Dai Junjie , Zhu Fangshun , Murugesan Balaji , Zhang Qing , Zhou Xiaochong , Ni Wenbin , Cai Yurong 
Published: September 2023

Abstract
The development of advanced electrode materials for sodium-ion batteries (SIBs) is crucial for the progression of energy storage technologies. In this study, we successfully fabricated V5S8/CoS nanoparticles confined within self-supported carbon nanofibers (CNFs) using a facile electrospinning method followed by a sulfidation process. Extensive characterization of the resulting V5S8/CoS-CNFs revealed their unique structural attributes, featuring a one-dimensional nanofiber morphology with enhanced Na+ transport pathways. These V5S8/CoS-CNFs exhibited a remarkable reversible capacity of 201 mAh g−1 even at a high current density of 5 A g−1, along with a stable cycling performance of 165 mA h g−1 after 300 cycles at 2 A g−1. The incorporation of both V5S8 and CoS within the nanofiber structure substantially enhanced the pseudocapacitance effect, thereby improving sodium storage capabilities. The exceptional electrochemical properties of the binder-free V5S8/CoS-CNFs anode can be attributed to its heterogeneous composition embedded within CNFs. This composition effectively boosts the rate of sodium ion diffusion by generating a built-in electric field (BEF) at the V5S8 and CoS interface, alleviating volume stress during charge-discharge processes and enhancing overall conductivity. Our findings underscore the potential of V5S8/CoS-CNFs as high-performance anode materials for SIBs, offering valuable insights into the design and development of advanced electrode materials for future energy storage applications.
ARPALData: an R package for retrieving and analyzing air quality and weather data from ARPA Lombardia (Italy)
Authors: Maranzano Paolo , Algieri Andrea 
Published: September 2023

Abstract
We present ARPALData, an R package able to help international users in retrieving, handling, and analyzing data for air quality and weather in Lombardy (Northern Italy). The software provides a user-friendly tool that does not require access to institutional platforms and ensures real-time updating of information using a standardized syntax. Also, it provides data according to the standard statistical formats. Eventually, all measurements, metadata and the subsequent analytical tools are provided to the users in the English language, facilitating accessibility to international and domestic users. Data are collected from the open database of the Regional Agency for Environmental Protection for Lombardy, namely ARPA Lombardia. ARPALData returns measurements at several temporal frequencies (infra-hourly to yearly) collected through the air quality and weather ground monitoring networks managed by ARPA Lombardia, as well as estimates of several pollutants at the municipal level. In addition to the data download functions, ARPALData includes several functions to describe, analyze, and graphically represent air quality and weather data. In particular, users are provided with commands to compute key descriptive statistics and maps of input data, to temporally aggregate measurements, to detect outliers, and to study missing value patterns. After discussing the purpose and the functioning of the main commands in detail, the paper presents several examples and case studies in which the software is used to characterize air quality and meteorology in different settings. The examples are designed to provide a step-by-step guide of accomplished analyses using all the tools included in ARPALData.
DEMOGRAFİK GEÇİŞ SÜRECİNİN EPİSTEMOLOJİSİ VE NÜFUS YAŞLANMASINA İLİŞKİN GENEL BİR DEĞERLENDİRME
Authors: CAN Burhan 
Published: September 2023

Demografik geçiş süreci, ilk olarak İkinci Dünya Savaşı sonrasında, gelişen ülkelerin yüksek nüfus artış hızları dikkate alınarak ABD’de geliştirilen bir teoridir. Demografik geçiş sürecinin aşamaları bulunur. Nüfus yaşlanması, demografik geçiş sürecinin sonucudur. Nüfus yaşlanması, nüfustaki çocukların ve gençlerin payının azalması, yaşlı insanların payının görece artmasıdır. Bu olgu, işgücü açığı ve sağlık giderlerin artmasına, sosyal güvenlik sisteminin zayıflamasına neden olur. Birçok ülke, emeklilik yaşını yükseltmek suretiyle yaşlıları işgücü olarak değerlendirme yoluna gitmiştir. Örneğin OECD ülkelerinde en yüksek emeklilik yaşı 67 ile Norveç’te en düşük emeklilik yaşı 60 civarıyla Türkiye’dedir.
Bu çalışmada demografik geçiş süreci epistemolojik açıdan araştırılmış, sürecin aşamaları ise görece yeni olan beşli modele göre ele alınmıştır. Ayrıca demografik geçiş sürecini yaşamış ülkelerde yeni bir sorun olarak nüfus yaşlanması ortaya çıktığından böylesi ülkelerin yaşlanma sorununun etkilerini hafifletmek için ne gibi politikalar izlediği araştırılmıştır. Ülke, bölge ve dünyaya ilişkin nüfus verileri “Birleşmiş Milletler Ekonomik ve Sosyal İşler Dairesi” (UN-DESA) istatistiklerinden elde edilmiştir. OECD ülkelerinin emekli olma yaşına yönelik veriler, OECD’nin raporlarından derlenmiştir. Türkiye’ye ait veriler Türkiye İstatistik Kurumu (TÜİK) istatistiklerine dayanmaktadır. Seçilmiş ülkeler ve dünya geneline ait 2100 yılına kadarki yaşam beklentisi projeksiyonuna Birleşmiş Milletler’in 2017 ile 2022 verilerinden erişilmiştir.
Microbiological Contamination of Food Raw Materials and Ready-To-Eat Foods: Analytical Review
Authors: Khishov Andrei , Balagula Tatiana , Lavrukhina Olga , Tretyakov Aleksey , Ivanova Olga , Kozeicheva Elizaveta 
Published: September 2023

Microbiological contamination changes the qualitative and quantitative profile of food, which makes it an important issue of food safety systems. Finished products with components of animal origin or combined vegetable and livestock raw materials are especially prone to microbiological contamination. This review features the most common sources of microbiological contamination and its prevention in finished products.
The review covered 20 years of English and Russian scientific articles and standards indexed in Scopus, ScienceDirect, PubMed, and eLIBRARY.RU. The descriptors included microbiological contamination, food raw materials, and ready-to-eat products. The analysis involved some older publications, provided they possessed a high scientific relevance and/or a high citation index. The search criteria concentrated on the detection of microbiological contaminants in food raw materials and food products in Russia and abroad. The percentage of detections for individual groups of microorganisms was calculated as opposed to their total number.
The data obtained can be summarized as follows. Regular industrial monitoring can minimize the risk of microbiological contamination. Complex finished products have a higher risk and require heat treatment. Composite products that cannot be succumbed to additional heat treatment need new technologies that minimize microbiological contamination, e.g., intensive cooling, shock freezing, electromagnetic processing, protective food coatings, etc.
Even a small amount of animal raw materials may cause extra risk of contamination with Listeria monocytogenes, Salmonella enteritidis, etc. A mix of different raw materials changes the microbiological profile of the finished product. As a result, finished products have to be monitored throughout the entire shelf-life cycle, regardless of the percentage of animal raw material in the formulation.
Functional Biscuits with Soy Protein
Authors: Statsenko Ekaterina , Shtarberg Mikhail , Borodin Eugene 
Published: September 2023

As a rule, modern confectionery products have added nutritional value, which makes them functional products. As a popular snack, biscuits are a promising object for fortification with functional ingredients. This article introduces a new formulation for biscuits fortified with soy protein.
The research featured crushed soy protein obtained using a patented technology (patent No. 2218816). The experimental biscuits included a mix of wheat flour with 2.5–15.0% soy protein. The control sample was represented by commercial biscuits of the Arktika brand. Physicochemical and other quality indicators were determined by standard methods. The isoflavonoid test involved high performance liquid chromatography with methanol:water eluent.
The experimental biscuits had a higher nutritional value; the absorption indicator fell from 196 to 172%. The crude gluten content dropped from 30.7 to 28.4%. The optimal content of soy protein in the new formulation was below 7.5% of the total mass of wheat flour. A higher mass fraction brought the absorption index below the standard value (˂ 170%) and spoiled the porosity and brittleness. Compared with the control sample, the nutritional value of the experimental sample improved as follows: protein – by 21.6%, fat – by 14.1%, minerals – by 11.1%, isoflavones – by 140.8% (from 4.83 to 11.63 mg/100 g). Total carbohydrates dropped by 6.5%.
The formulation demonstrated good prospects for industrial production. The new biscuits with soy protein can be classified as functional food: compared to the conventional biscuits, the recommended daily intake (100 g) for phosphorus increased from 11.7 to 20.1%, vitamin E – from 12.6 to 18.0%, for isoflavones – from 9.6 to 23.2%.
Application of Calcium Aluminate Doped with Mn and Cr in Optical Thermometry
Authors: Rogulis U. , Fedotovs A. , Rodionovs P. , Kemere M. , Antuzevics A. , Sarakovskis A. , Alps K. , Kiseleva V. 
Published: September 2023

Abstract
Optical thermometers are advantageous for temperature measurement in electromagnetic fields and aggressive environments; however, their composition mostly relies on materials doped with expensive and resource-limited rare earth ions.
In this article, we describe the application of calcium aluminate doped with transition metal ions (Mn2+ and Cr3+) in optical thermometry, employing optical fibres for signal transmission. Upon excitation with 450 nm laser diode radiation, changes in the luminescence of Mn2+ ions in the 500–550 nm band are followed along with changes in the Cr3+ band at 750–800 nm.
The application has been tested in the temperature range from 20 °C to 800 °C. The temperature dependence of Cr3+ luminescence encompasses the high-temperature range, whereas the luminescence band of Mn2+ ions gives an increase in the total intensity and provides a more consistent change in the range from 400 °C to 550 °C.