bluuebunny/crossref_metadata_2025_split huggingface dataset:
Financing Development of the Less Developed Countries
Authors: Augenthaler Zdeněk 
Published: October 2024

The construction of developing countries (in the next RZ), which J. Néhrú said is state of exploding poverty is well known. At all meetings of the UN and its organizations but also on various other occasions, the position of RZ is reminded and studied wind, thereby constantly new circumstances and connections emerge, which change they were not intended, or they were overlooked. It is now one of the main problemsof the world. According to the United Nations Development Program (The Second Imperative New York, date not given) industrially developed countries in which not even a third of the world's population lives, they have 86% of the world's gross product, which corresponded to 1097.4 billion dollars in 1964, while the RS, in which there are more than two thirds of humanity (and by the end of the century it should be ¾), have only 14% of the gross world product, or 178.6 billion dollars.)
IMPLEMENTASI ALGORITMA CONVOLUTIONAL NEURAL NETWORK (CNN) UNTUK DETEKSI KESEGARAN TELUR BERBASIS ANDROID
Authors: Akbar R. Rojab Maulana , Rizal Fathur , Shudiq Wali Ja’far 
Published: October 2024

Telur memiliki tingkat kandungan dan kualitas yang berbeda dari setiap telurnya. Oleh karena itu, telur dapat diteropong secara manual dengan alat Egg Candler dengan melihat dari sisi pencahayaan dan dapat memprediksi telur yang merupakan cara yang belum dikatakan cukup akurat. Sehingga dengan perkembangan zaman ini, penulis membuat sebuah aplikasi untuk memprediksi kualitas telur dengan akurat dan relatif lebih cepat. Pembuatan aplikasi Egg Detection ini dapat dikembangkan untuk mengklasifikasikan data citra telur menggunakan algoritma Convolutional Neural Network (CNN). Sehingga model dari hasil pelatihan tersebut akan di ekspor dan di integrasikan ke aplikasi android sebagai data yang dapat memprediksi kualitas telur tersebut, dengan menggunakan metode algoritma Convolutions Neural Network (CNN) dapat mengklasifikasikan suatu objek data citra telur dengan menghitung probabilitas setiap kelas menghasilkan keluaran numerik biner dengan nilai 0 dan 1. model data dari hasil pelatihan dapat dilihat dari tingkat akurasi yang diperoleh sebesar 95% dan di export ke data tensorflow yang dapat diintegrasikan pada aplikasi berbasis android.
AGEN BIOLOGIS UNTUK ANAK PSORIASIS SEDANG-BERAT: TINJAUAN SISTEMATIS DAN META-ANALISIS
Authors: Karyadi Erlinda , Trifitriana Monica , Kurniawati Yuli , Putri Luh Putu Mahatya Valdini , Toisuta Riany Jade Sabrina , Fitri Risma Orchita Agwisa , Khairani Fatima Aulia 
Published: October 2024

ABSTRAK
Pendahuluan: Agen biologis mulai diterapkan sebagai terapi untuk psoriasis derajat sedang-berat pada anak, namun tingkat efektivitas dan keamanannya pada populasi ini belum sepenuhnya diketahui. Tujuan: Mengevaluasi efektivitas dan keamanan agen biologis pada anak dengan psoriasis derajat sedang-berat. Metode: Penelusuran database medis secara sistematis dilakukan untuk mengumpulkan penelitian RCT yang mengevaluasi penggunaan agen biologis pada anak dengan psoriasis derajat sedang-berat. Penilaian kualitas studi dan pengumpulan data menggunakan aplikasi RevMan 5.4. Hasil: 8 RCT dari 233 studi yang memenuhi kriteria dimasukkan dalam tinjauan sistematis dan meta-analisis ini. Ustekinumab, etanercept, ixekizumab, adalimumab dan secukinumab efektif dalam memperbaiki tingkat keparahan psoriasis pada anak (RR = 6,55, 95% CI [1,88, 22,78]) berdasarkan area psoriasis dan indeks keparahan 100 (PASI 100) dibandingkan dengan plasebo. Ustekinumab memiliki tingkat respons yang lebih tinggi pada semua kelompok biologis (PASI 75; RR=7.35, 95% CI [2.89, 18.68]), (PASI 90; RR=15.64, 95% CI [2.73, 41.56]). Agen biologis terbukti aman dengan risiko efek samping yang rendah. Kesimpulan: Agen biologis adalah terapi pilihan yang efektif dan aman untuk anak dengan psoriasis sedang hingga berat. Agen biologis secara signifikan meningkatkan perbaikan penyakit dan kualitas hidup anak dengan psoriasis, namun belum diterapkan secara praktik di Indonesia karena dibatasi oleh harga yang relatif tinggi.
RUSSIAN COMPATRIOTS IN TURKEY: COMMON AND SPECIAL, TRADITIONS AND INNOVATIONS
Authors: Sadykova Liana R. 
Published: October 2024

This article examines the formation of various support organizations in Turkey by Russian compatriots. In the modern era, emigration, as a complex and hardly controlled process, represents one of the most pressing issues that requires scientific coverage. The topic of emigration from Russia is inextricably linked with the interaction of multiethnic and multiconfessional Russian compatriots with the host cultures around the world. In this article, the term “Russian compatriots” is used to refer to individuals who have emigrated from Russia or the CIS, including both Russians and members of Turkic ethnic groups in Russia. The study is based on the author’s field materials, comprising general observations and interviews with the chairmen of two cultural unions of Russian compatriots in Antalya. Furthermore, the article describes the functioning of the Private Moscow International School in Antalya and the museums that are housed within its premises. Additionally, the article dedicates a substantial portion to the Tatar-Bashkir communities in Turkey. While in emigration, Russian compatriots organize events to maintain their ethnic identity, and the established communities serve this purpose. Thus, the article examines the unity and national diversity of Russian compatriots in Turkey. What unites Russian compatriots is their common origin — their exodus from one country and a shared mentality. The differences among Russian compatriots are rooted in their diverse ethnic and religious affiliations.
The development and evaluation of chitosan-coated enzyme magnetic nanoparticles for cellulose hydrolysis
Authors: Park Heejoon , Johnson Patrick A. 
Published: October 2024

The recycling capability, colloidal and thermal stability of exo-cellulase, endo-cellulase, and β-glucosidases with magnetic particles (MNPs) were evaluated. Co-precipitation and oxidation of Fe(OH)2 methods were used to fabricate magnetic nanoparticles. Three different enzymes were covalently bound to the surface of MNPs using 3-(aminopropyl) triethoxysilane (APTES) and a common protein crosslinking agent, glutaraldehyde. To evaluate the increase in colloidal dispersion stability, chitosan-coating was applied on MNPs and evaluated through particle settlement tests. The results showed that the chitosan-coated MNPs had 3.7 times higher colloidal dispersion stability than the bare MNPs. X-ray photoelectron spectroscopy (XPS) confirmed each magnetic nanoparticle surface modification step and successful enzyme binding. The optimum bioconjugate ratio in exo-cellulase, endo-cellulase, and β-glucosidases was evaluated, and having a high endo-cellulase bioconjugate in the reaction produced the highest glucose. The bioconjugates showed superior glucose productivity 39.4% at 65°C and 22.2% at 88°C in which the native enzyme is inactivated completely after 5 h of exposure. Recycling stability studies showed approximately 78% of activity was retained after 10 cycles and 32% of activity was retained after 20 cycles. The bioconjugates demonstrated equivalent total product conversions as a single reaction of an equivalent amount of the native enzyme after the 10th cycle this work introduces a novel method for covalently binding individual exo-cellulase, endo-cellulase, and β-glucosidases. These bioconjugates showed superior thermal stability and recyclability. It was also demonstrated that chitosan coating significantly improves the colloidal dispersion stability of bioconjugates. Thus this work validates the use of enzyme-MNP bioconjugates to effectively glucose production and promising technique for eventual continuous biological processes.
Epidemiological characteristics of three herpesviruses infections in children in Nanjing, China, from 2018 to 2023
Authors: Wei Mingwei , Zhang Yang , Li Zhibin , Liang Qi , Cao Tong , Ma Jingjing 
Published: October 2024

ObjectiveTo evaluate the epidemiology characteristics of Herpes simplex virus type 2 (HSV-2), Epstein-Barr virus (EBV) and Cytomegalovirus (CMV) infection in children from January 2018 to December 2023, in Nanjing, China.MethodsWe conducted a retrospective analysis of 21,210, 49,494 and 32,457 outpatients and inpatients aged 1 day to 17 years who were subjected to the three herpesviruses (HSV-2, EBV, and CMV) nucleic acid testing from January 2018 to December 2023, respectively. Demographic information, laboratory findings, etc. were collected and analyzed. HSV-2, EBV and CMV nucleic acid testing were performed by real-time PCR.ResultsThe total rate of detection of the three herpesviruses for all specimens was 0.32% (67/21,210), 14.99% (7419/49,494), and 8.88% (2881/32,457), respectively. A declining trend in the incidence of viral infections over the years was observed for the three herpesviruses (all P&lt;0.05). The detection rate for HSV-2, EBV, and CMV was highest among patients aged 1-3 years, 3-7 years, and 28 days to 1 year, respectively (all P&lt;0.05). The presence of HSV-2 and CMV infection did not exhibit a discernible seasonal pattern, whereas EBV typically demonstrated an elevation during the summer and autumn.ConclusionEBV and CMV were both prevalent among children in China, except for HSV-2. The annual prevalence of the three herpesviruses show decreasing trend from 2018 to 2023, and no difference in gender (except for EBV). EBV infections usually occur in the summer and autumn, whereas HSV-2 and CMV do not exhibit significant seasonality. The positivity rate of HSV-2 is highest in 1-3 years, EBV is highest in 3-7 years, and that of CMV is highest in 28 days to 1 year. Positive detection rates are higher in outpatients than in inpatients.
Quantifying the impact of surgical teams on each stage of the operating room process
Authors: Meyers Adam , Daysalilar Mertcan , Dagal Arman , Wang Michael , Kutlu Onur , Akcin Mehmet 
Published: October 2024

IntroductionOperating room (OR) efficiency is a key factor in determining surgical healthcare costs. To enable targeted changes for improving OR efficiency, a comprehensive quantification of the underlying sources of variability contributing to OR efficiency is needed. Previous literature has focused on select stages of the OR process or on aggregate process times influencing efficiency. This study proposes to analyze the OR process in more fine-grained stages to better localize and quantify the impact of important factors.MethodsData spanning from 2019-2023 were obtained from a surgery center at a large academic hospital. Linear mixed models were developed to quantify the sources of variability in the OR process. The primary factors analyzed in this study included the primary surgeon, responsible anesthesia provider, primary circulating nurse, and procedure type. The OR process was segmented into eight stages that quantify eight process times, e.g., procedure duration and procedure start time delay. Model selection was performed to identify the key factors in each stage and to quantify variability.ResultsProcedure type accounted for the most variability in three process times and for 44.2% and 45.5% of variability, respectively, in procedure duration and OR time (defined as the total time the patient spent in the OR). Primary surgeon, however, accounted for the most variability in five of the eight process times and accounted for as much as 21.1% of variability. The primary circulating nurse was also found to be significant for all eight process times.DiscussionThe key findings of this study include the following. (1) It is crucial to segment the OR process into smaller, more homogeneous stages to more accurately assess the underlying sources of variability. (2) Variability in the aggregate quantity of OR time appears to mostly reflect the variability in procedure duration, which is a subinterval of OR time. (3) Primary surgeon has a larger effect on OR efficiency than previously reported in the literature and is an important factor throughout the entire OR process. (4) Primary circulating nurse is significant for all stages of the OR process, albeit their effect is small.
Using differential reinforcement for all to manage disruptive behaviors: three class interventions at kindergarten and primary school
Authors: Pansu Pascal , Freyssinet Irène , Le Hénaff Benjamin 
Published: October 2024

IntroductionDisruptive behaviors produce harmful effects, which reduce students’ well-being and learning opportunities. This paper presents a new strategy named Differential Reinforcement for All (DR-All), which has been inspired by DR and Social Learning Theory.MethodsWe conducted one study in which we applied DR-All to three classes with first grade students (intervention 1), then in kindergarten (intervention 2), and fifth grade students (intervention 3). In all three interventions, the measurements of student–student relationships and disruptive behaviors were taken 1 week before implementation and after 2 weeks of implementation. In intervention 1, disruptive behaviors were measured again 1 year after, among the 10 students who remained with the same teacher the following year.ResultsConcerning student–student relationships, we only observed one effect, which was a positive effect on the most rejected pupils in the first-grade intervention, who were significantly less rejected by their classmates after the implementation. However, the results of all three interventions showed a significant decrease in the frequency of disruptive behaviors after the strategy implementation. This was also true for the intervention 1 measurement 1 year later.DiscussionTo conclude, the consistent application of DR-All can reduce disruptive behaviors in the classroom.
Perception of generative AI use in UK higher education
Authors: Arowosegbe Abayomi , Alqahtani Jaber S. , Oyelade Tope 
Published: October 2024

BackgroundGenerative artificial intelligence (Gen-AI) has emerged as a transformative tool in research and education. However, there is a mixed perception about its use. This study assessed the use, perception, prospect, and challenges of Gen-AI use in higher education.MethodsThis is a prospective, cross-sectional survey of university students in the United Kingdom (UK) distributed online between January and April 2024. Demography of participants and their perception of Gen-AI and other AI tools were collected and statistically analyzed to assess the difference in perception between various subgroups.ResultsA total of 136 students responded to the survey of which 59% (80) were male. The majority were aware of Gen-AI and other AI use in academia (61%) with 52% having personal experience of the tools. Grammar correction and idea generation were the two most common tasks of use, with 37% being regular users. Fifty-six percent of respondents agreed that AI gives an academic edge with 40% holding a positive overall perception about the use in academia. Comparatively, there was a statistically significant difference in overall perception between different age ranges (I2 = 27.39; p = 0.002) and levels of education (I2 = 20.07; p &lt; 0.001). Also, 83% of students believe AI use will increase in academia with over half agreeing it should be integrated into learning. Plagiarism (33%), privacy issues (14%), and lack of clarity by the university (13%) remain the top concerns regarding the use of Gen-AI and other AI tools in academia.ConclusionGen-AI and other AI tools are being used and their use will continue to grow in higher education. While current use is challenging due mainly to plagiarism fear and lack of clarity by the university, most users believe AI should be integrated into the university curriculum.
Numerical investigation on the core thermal hydraulic behavior of pool-type sodium-cooled fast reactor (SFR)
Authors: Wang X. A. , Liang Ximei , Xu RongShuan , He DongYu , Wang Ting , Zhang Dalin 
Published: October 2024

A thorough understanding of the reactor core thermal hydraulic behavior is essential for the design and safety analysis of Sodium-cooled Fast Reactors (SFR). Due to the application of hexagonal subassembly, the core thermal hydraulic behavior is significantly affected by the flow field within the subassemblies, the inter-wrapper region and the hot pool. Analysis of the core thermal hydraulic behavior requires a model coupling the three regions mentioned above, which has been identified as one of the thermal hydraulic challenges in SFR. In the present study, a 3D model that covers the three regions was developed for the core of the China Experimental Fast Reactor (CEFR) with the Computational Fluid Dynamic (CFD) code, Fluent. The inter-wrapper region and the hot pool were modeled in detail, while the subassemblies were modeled with a special porous medium model. The core thermal hydraulics behavior under steady state was studied, more specifically, information for the flow field distribution at the core outlet, the inter-wrapper flow and the duct wall temperature distribution was obtained. Under steady state, liquid sodium in the inter-wrapper region is supplied by the inner region of the hot pool. And it enters the inter-wrapper region from the core outer region and returns back to the hot pool inner region from the core central region. The inter-wrapper flow is cooled by non-fuel subassemblies and heated up by fuel subassemblies. For non-fuel subassembly, the ratio of the total heat transfer rate between the inter-wrapper flow and the subassemblies to the heat generated within subassemblies could reaches 96%; for fuel subassemblies, the maximum ratio of the total heat transfer rate between the inter-wrapper flow and the subassemblies to the heat generated within subassemblies is 2.45%. Significant temperature gradients have been observed on the duct wall, with maximum values of 156.69 K/m in the vertical direction and 2,196.00 K/m in the circumferential direction. The largest temperature gradient appears on the duct of subassemblies adjacent to the transition region of fuel subassemblies and non-fuel subassemblies.
Prognostic implications of metabolism-related genes in acute myeloid leukemia
Authors: Ren Na , Wang Jianan , Li Ruibing , Yin Chengliang , Li Mianyang , Wang Chengbin 
Published: October 2024

IntroductionAcute myeloid leukemia(AML) is a diverse malignancy with a prognosis that varies, being especially unfavorable in older patients and those with high-risk characteristics. Metabolic reprogramming has become a significant factor in AML development , presenting new opportunities for prognostic assessment and therapeutic intervention.MethodsMetabolism-related differentially expressed genes (mDEGs) were identified by integrating KEGG metabolic gene lists with AML gene expression data from GSE63270. Using TCGA data, we performed consensus clustering and survival analysis to investigate the prognostic significance of mDEGs. A metabolic risk model was constructed using LASSO Cox reg ression and enhanced by a nomogram incorporated clinical characteristics. The model was validated through receiver operating characteristic (ROC) curves and survival statistics. Gene network analysis was conducted to identify critical prognostic factors. The tumor immune microenvironment was evaluated using CIBERSORT and ESTIMATE algorithms, followed by correlation analysis between immune checkpoint gene expression and risk scores. Drug sensitivity predictions and in vitro assays were performed to explore the effects of mDEGs on cell proliferation and chemoresistance.ResultsAn 11-gene metabolic prognostic model was established and validated. High-risk patients had worse overall survival in both training and validation cohorts (p &lt; 0.05). The risk score was an independent prognostic factor. High-risk patients showed increased immune cell infiltration and potential response to checkpoint inhibitors but decreased drug sensitivity. The model correlated with sensitivity to drugs such as venetoclax. Carbonic anhydrase 13 (CA13) was identified as a key gene related to prognosis and doxorubicin resistance. Knocking down CA13 reduced proliferation and increased cell death with doxorubicin treatment.ConclusionA novel metabolic gene signature was developed to stratify risk and predict prognosis in AML, serving as an independent prognostic factor. CA13 was identified as a potential therapeutic target. This study provides new insights into the prognostic and therapeutic implications of metabolic genes in AML.
Effectiveness of osteopathic craniosacral techniques: a meta-analysis
Authors: Amendolara Alfred , Sheppert Alexander , Powers Ryan , Payne Andrew , Stacey Stephen , Sant David 
Published: October 2024

BackgroundCraniosacral osteopathic manipulative medicine—also known as craniosacral therapy (CST)—is a widely taught and used component of osteopathic medicine. This paper seeks to systematically review and conduct a meta-analysis of randomized controlled trials assessing the clinical effectiveness of CST compared to standard care, sham treatment, or no treatment in adults and children.MethodsA search of Embase, PubMed, and Scopus was conducted on 10/29/2023 and updated on 5/8/2024. There was no restriction placed on the date of publication. A Google Scholar search was conducted to capture grey literature. Backward citation searching was also implemented. All randomized controlled trials employing CST for any clinical outcome were included. Studies not available in English as well as studies that did not report adequate data were excluded. Multiple reviewers were used to assess for inclusions, disagreements were settled by consensus. PRISMA guidelines were followed in the reporting of this meta-analysis. Cochrane’s Risk of Bias 2 tool was used to assess for risk of bias. All data were extracted by multiple independent observers. Effect sizes were calculated using a Hedge’s G value (standardized mean difference) and aggregated using random effects models. The GRADE system was used to assess quality of evidence.ResultsThe primary study outcome was the effectiveness of CST for selected outcomes as applied to non-healthy adults or children and measured by standardized mean difference effect size. Twenty-four RCTs were included in the final meta-analysis with a total of 1,613 participants. When subgroup analyses were performed by primary outcome only, no significant effects were found. When secondary outcomes were included in subgroup analyses, results showed that only Neonate health, structure (g = 0.66, 95% CI [0.30; 1.02], Prediction Interval [−0.73; 2.05]) and Pain, chronic somatic (g = 0.34, 95% CI [0.18; 0.50], Prediction Interval [−0.41; 1.09]) show reliable, statistically significant effect. However, these should not be interpreted as positive results as wide prediction intervals, high bias, and statistical limitations temper the real-world implications of this finding.Conclusions and relevanceCST demonstrated no significant effects in this meta-analysis, indicating a lack of usefulness in patient care for any of the studied indications.Pre-registration available at https://doi.org/10.17605/OSF.IO/54K6G.Systematic Review Registrationhttps://osf.io/54k6g.