bluuebunny/crossref_metadata_2025_split huggingface dataset:
What are the top predictors of students’ well-being across cultures? Combining machine learning and conventional statistics
Authors: King Ronnel B. , Wang Yi , Fu Lingyi , Leung Shing On 
Published: September 2023

Abstract
Alongside academic learning, there is increasing recognition that educational systems must also cater to students’ well-being. Hence, understanding the different factors that predict students’ well-being is a critical educational issue. The objective of this study is to examine the key factors that predict students’ subjective well-being, indexed by life satisfaction, positive affect, and negative affect across the globe. Data from 522,836 secondary school students from 71 countries across eight different cultural contexts were analyzed. Underpinned by Bronfenbrenner’s ecological system theory, both machine learning (i.e., light gradient-boosting machine) and conventional statistics (i.e., hierarchical linear modeling) were used to examine the roles of person, process, and context factors in predicting students’ well-being. Results indicated that life satisfaction was best predicted by the sense of meaning, school belonging, parental support, fear of failure, and country affluence. Positive affect was most influenced by resilience, sense of meaning, belonging, parental support, and country wealth. Negative affect was most strongly predicted by the general fear of failure, gender, being bullied, school belonging, and sense of meaning. Supplementary analyses indicated that the determinants of student well-being demonstrated remarkable cross-cultural similarity across the world.
Polynomials and Chemical Structures
Authors: Yasmeen Farhana , Afzal Farkhanda , Shahid Muhammad , Ali Kashif , Afzal Deeba , Mehmood Adnan 
Published: September 2023

Abstract
The use of M-polynomials to represent chemical compounds and chemical networks is a revolutionary idea that results in topological Invariants These findings are utilized to link the chemical characteristics and bioactivities of chemical compounds and chemical networks.The M-polynomial, denoted as $M(X;x,y)$, is obtained by summing the products of the number of edges, denoted as $m_{pq}(X)$, with a specific property involving the coordinates of the vertices. More precisely, we consider edges $ab$ in the structure $X$ where the coordinates of the vertices $\zeta^a$ and $\zeta^b$ satisfies $\zeta^a,\zeta^b=(p,q)$, where $p$ and $q$ are both greater than or equal to 1. The M-polynomial is given by $M(X;x,y)=\sum\limits_{p\leq q}m_{pq}(X)x^{p}y^{q}$.\\ We will use a general approach based on topological polynomials to compute important properties of chemical structures, specifically the Trans-Pd-$(NH_2)S$ lattice $TPL[m,n]$ and Metal-Organic Super lattice $(MOS[m,n])$. These properties include various topological invariants such as the Zagreb indices, Randic indices, harmonic index, symmetric division index, forgotten index, and inverse index. We use M-polynomial, which counts the number of edges with specific vertex coordinates, to calculate these invariants.
An R package for Survival-based Gene Set Enrichment Analysis
Authors: Deng Xiaoxu , Thompson Jeffrey A. 
Published: September 2023

Abstract

Functional enrichment analysis is usually used to assess the effects of experimental differences. However, researchers sometimes want to understand the relationship between transcriptomic variation and health outcomes like survival. Therefore, we suggest the use of Survival-based Gene Set Enrichment Analysis (SGSEA) to help determine biological functions associated with a disease’s survival. We developed an R package and corresponding Shiny App called SGSEA for this analysis and presented a study of kidney renal clear cell carcinoma (KIRC) to demonstrate the approach. In Gene Set Enrichment Analysis (GSEA), the log-fold change in expression between treatments is used to rank genes, to determine if a biological function has a non-random distribution of altered gene expression. SGSEA is a variation of GSEA using the hazard ratio instead of a log fold change. Our study shows that pathways enriched with genes whose increased transcription is associated with mortality (NES > 0, adjusted p-value < 0.15) have previously been linked to KIRC survival, helping to demonstrate the value of this approach. This approach allows researchers to quickly identify disease variant pathways for further research and provides supplementary information to standard GSEA, all within a single R package or through using the convenient app.
Response of distinct soil types to cyanobacterial biofertilizer inoculation
Authors: Kour Babanpreet , Sharma Preeti , Ramya S , Gawdiya Sandeep , Sudheer K , Ramakrishnan Balasubramanian 
Published: September 2023

Abstract
Cyanobacterial biofertilizers provide soil fertility and productivity gains at varying levels in rice cultivation. The influences of distinct soil types with the characteristic composition of native cyanobacteria on the colonization of introduced strains remain largely unknown. In this work, seven soil types with the composition of indigenous cyanobacteria described by amplicon sequencing were inoculated with the cyanobacterial biofertilizer. The cyanobacterial growth was evaluated under light-dark and continuous dark cycles using marker-gene-based assays. The copies of cyanobacterial-16S rRNA gene markers varied from 5.65 × 106 to 9.22 × 107 g− 1 soil, and their abundance increased significantly in the soils with inoculant. The soils of KAR (Karnal, Typic Natrustalf) and IARI (Indian Agricultural Research Institute, Typic Haplustepts) showed the highest abundances of cyanobacteria under both light-dark and continuous dark cycles on 15 days after incubation (DAI) and 30 DAI. On 30 DAI, the cyanophage population in the soils tested ranged from 3.04 × 108 to 9.24× 108 g− 1 soil. The beneficial marker traits of C- (cbbL) and N (nifH) cycles and overall microbial abundances (bacteria, archaea, cyanobacteria, and cyanophage) showed a strong and positive correlation with the soil inoculation. At the same time, those genes related to nitrification and denitrification were clustered more closely in the uninoculated soils. These results indicate the potential for cyanobacterial biofertilizers to improve microbial contribution, in a soil-specific way, to fertility gains.
Integrating scRNA-seq to explore novel macrophage infiltration-associated biomarkers for diagnosis of heart failure
Authors: Li Shengnan , Ge Tiantian , Xu Xuan , Xie Liang , Song Sifan , Li Runqian , Li Hao , Tong Jiayi 
Published: September 2023

Abstract
Objective: Inflammation and immune cells are closely intertwined mechanisms that contribute to the progression of heart failure (HF). Nonetheless, there is a paucity of information regarding the distinct features of dysregulated immune cells and efficient diagnostic biomarkers linked with HF. This study aims to explore diagnostic biomarkers related to immune cells in HF to gain new insights into the underlying molecular mechanisms of HF and to provide novel perspectives for the detection and treatment of HF.
Method: The CIBERSORT method was employed to quantify 22 types of immune cells in HF and normal subjects from publicly available GEO databases (GSE3586, GSE42955, GSE57338, and GSE79962). Machine learning methods were utilized to screen for important cell types. Single-cell RNA sequencing (GSE145154) was further utilized to identify important cell types and hub genes. WGCNA was employed to screen for immune cell-related genes and ultimately diagnostic models were constructed and evaluated. To validate these predictive results, blood samples were collected from 40 normal controls and 40 HF patients for RT-qPCR analysis. Lastly, key cell clusters were divided into high and low biomarker expression groups to identify transcription factors that may affect biomarkers.
Results: The study found a noticeable difference in immune environment between HF and normal subjects. Macrophages were identified as key immune cells by machine learning. Single-cell analysis further showed that macrophages differed dramatically between HF and normal subjects. This study revealed the existence of five subsets of macrophages that have different differentiation states. Based on module genes most relevant to macrophages, macrophages differentiation-related genes (MDRGs), and DEGs in HF and normal subjects from GEO datasets, four genes (CD163, RNASE2, LYVE1, and VSIG4) were identified as valid diagnostic markers for HF. Ultimately, a diagnostic model containing two hub genes was constructed and then validated with a validation dataset and clinical samples. In addition, key transcription factors driving or maintaining the biomarkers expression programs were identified.
Conclusion: The analytical results and diagnostic model of this study can assist clinicians in identifying high-risk individuals, thereby aiding in guiding treatment decisions for patients with HF.
A Fluorescent Chemosensor for Detection Ph and Cu 2+ Ion Base on 7-((2- Aminoethyl)amino)-5-bromo-6-hydroxy-1-methylquinolin-1-ium-3- Sulfonate: Experimental and Dft Calculation
Authors: Mai Phuong Chi , Ngo Tuan Cuong , Nguyen Thi Hai , Le Thi Hong Hai 
Published: September 2023

Abstract
A quinoline derivative 7-((2-aminoethyl)amino)-5-bromo-6-hydroxy-1-methylquinolin-1-ium-3-sulfonate (QEt) containing quinoline ring, - sulfonate, -OH phenol, and amine groups was synthesized and studied luminescence properties. The aqueous solutions QEt 10µM change luminescence color from green (λem=490nm) to yellow (λem=563nm) as increasing pH and the intensity at a peak of 563 nm is linearly proportional with pH value in the range of pH = 3,0 – 4,0. The QEt solutions can be used as chemosensor for Cu2+ with LOD value at 0.66 . Along with the experiment, the structure, the absorption and emission spectra of QEt have been investigated by TD-DFT calculation. The result shows that the absorption band centered at 420 nm is due to the electron transition from HOMO to LUMO (π → π*). The results also help to assign emission band centered at 490nm is due to the S1 → S0 transition (LUMO → HOMO singlet transition), at 563 nm is due to the T2 → S0 transition (LUMO → HOMO-1 triplet transition). The dependence of relative intensity of each emission peak on pH, which is experimentally recorded, is explained based on the results of theoretical TD-DFT calculation.
Pricing of Options on Futures under a monopolistic environment
Authors: boughabi houssam 
Published: September 2023

Abstract
Monopoly is a form of institution: the pre-requisites regarding this form of companies is that prices are dictated by the capital makers, however in our finding we have argued about the behavior of monopolistic companies regarding the derivatives markets, Futures for instance; first of all we can swiftly show that once in a time the expectations of companies for the general price under a suitable filtration must be higher even though this price itself isn't high if the monopoly form would be great for customers, namely what is the behavior of monopolies to avoid raising prices in the Future, this went to consider that since they have a higher expectation for general prices they must long Futures contracts.
The Option on Futures Market was the target of our study, we have been interested in the behavior of such a market under this situation where the only form of companies operating in the country is monopolies, with our empirical study we have shown bluntly that under a monopolistic environment the Option on Futures Market is cheaper and behaves almost like the Crude Oil WTI Futures, we have taken our price and Futures data from investing.com. The research question lies in defining a new insight in a big government economy where monopolies come to rein in dictating prices, our finding is crucial because the Option on Futures Market could be a solution for traders when the economy doesn't allow competition.
JEL Classification. D42, G13.
Whole transcriptomic analysis reveals overexpression of salivary gland and cuticular proteins genes in insecticide-resistant Anopheles arabiensis from Western Kenya.
Authors: Omoke Diana , Impoinvil Lucy , Derilus Dieunel , Okeyo Stephen , Saizonou Helga , Mulder Nicola , Dada Nsa , Lenhart Audrey , Djogbénou Luc , Ochomo Eric 
Published: September 2023

Abstract

Background Effective vector control is key to malaria prevention. However, this is now compromised by increased insecticide resistance due to continued reliance on insecticide-based control interventions. In Kenya, we have observed heterogenous resistance to pyrethroids and organophosphates inAnopheles arabiensiswhich is one of the most widespread malaria vectors in the country. We investigated the gene expression profiles of insecticide resistantAn. arabiensispopulations from Migori and Siaya counties in Western Kenya using RNA-Sequencing. CDC bottle assays were conducted using deltamethrin (DELTA), alphacypermethrin (ACYP) and pirimiphos-methyl (PMM) to determine the resistance status in both sites. Results Mosquitoes from Migori had average mortalities of 91%, 92% and 58% while those from Siaya had 85%, 86%, and 30% when exposed to DELTA, ACYP and PMM, respectively. RNA-Seq analysis was done on pools of mosquitoes which survived exposure (‘resistant’), mosquitoes that were not exposed, and the insecticide-susceptibleAn. arabiensisDongola strain. Gene expression profiles of resistant mosquitoes from both Migori and Siaya showed an overexpression mainly of salivary gland proteins belonging to both the short and long form D7 genes, and cuticular proteins (including CPR9, CPR10, CPR15, CPR16). Additionally, the overexpression of detoxification genes including cytochrome P450s (CYP9M1, CYP325H1, CYP4C27, CYP9L1 and CYP307A1), 2 carboxylesterases and a glutathione-s-transferase (GSTE4) were also shared between DELTA, ACYP, and PMM survivors, pointing to potential contribution to cross resistance to both pyrethroid and organophosphate insecticides. Conclusion This study provides novel insights into the molecular basis of insecticide resistance inAn. arabiensisin Western Kenya and suggests that salivary gland proteins and cuticular proteins are associated with resistance to multiple classes of insecticides.
Prophylactic and long-lasting efficacy of senolytic CAR T cells against age-related metabolic dysfunction
Authors: Amor Corina , Fernández-Maestre Inés , Chowdhury Saria , Ho Yu-Jui , Nadella Sandeep , Graham Courtenay , E.Carrasco Sebastian , Nnuji-John Emmanuella , Feucht Judith , Hinterleitner Clemens , J.A.Barthet Valentin , A.Boyer Jacob , Mezzadra Riccardo , G.Wereski Matthew , A.Tuveson David , L.Levine Ross , W.Jones Lee , Sadelain Michel , Lowe Scott W 
Published: September 2023

Abstract
Senescent cells accumulate in organisms over time because of tissue damage and impaired immune surveillance and contribute to age-related tissue decline1,2. In agreement, genetic ablation studies reveal that elimination of senescent cells from aged tissues can ameliorate various age-related pathologies, including metabolic dysfunction and decreased physical fitness3-7. While small-molecule drugs capable of eliminating senescent cells (known as ‘senolytics’) partially replicate these phenotypes, many have undefined mechanisms of action and all require continuous administration to be effective. As an alternative approach, we have developed a cell-based senolytic therapy based on chimeric antigen receptor (CAR) T cells targeting uPAR, a cell-surface protein upregulated on senescent cells, and previously showed these can safely and efficiently eliminate senescent cells in young animals and reverse liver fibrosis8. We now show that uPAR-positive senescent cells accumulate during physiological aging and that they can be safely targeted with senolytic CAR T cells. Treatment with anti uPAR CAR T cells ameliorates metabolic dysfunction by improving glucose tolerance and exercise capacity in physiological aging as well as in a model of metabolic syndrome. Importantly, a single administration of a low dose of these senolytic CAR T cells is sufficient to achieve long-term therapeutic and preventive effects.
Effect of storage conditions on the physical properties of coffee beans with different qualities
Authors: Matias Gabriel Carvalho , Alves Ana Paula de Carvalho , Borem Flávio Meira , Haeberlin Luana , Santos Claudia Mendes dos , Rosa Sttela Dellyzete Veiga Franco da 
Published: September 2023

The quality of coffee starts in the field, and goes through the harvesting and post-harvesting processes, and continues to storage and transportation. The storage of coffee beans aims to stock a product for a certain period of time. However, factors such as quality and metabolism of the grain, water content, environmental conditions of the warehouse, type of packaging, and storage time influence the maintenance of these characteristics, and may negatively affect sensory aspects of the beverage. The use of high-barrier packaging or refrigerated storage practices are alternatives that can ensure grain quality during storage. Thus, the objective of the present study was to evaluate the behavior of raw coffee beans, of different processing and quality levels, packed in impermeable packages and stored in a refrigerated environment. The specialty coffees were previously sampled and characterized as to the drink, with two lots (one of natural coffee and the other of pulped natural coffee) evaluated with a score of 82 points, and another lot of natural coffee evaluated with a score of 84 points. They were packed in two types of packaging: moisture and gas permeable, and gas, moisture, and light impermeable. The beans were stored in ambient conditions without temperature control and in refrigerated environments. The CO2 concentration inside the packaging was measured, and the physical analyses – water content, color, and apparent specific mass – were performed. According to the results there is less variation in the water content and coloration of the grains stored in high barrier packages. The storage of the beans in refrigerated condition and in high barrier packing is efficient in the retarding of the loss of quality of the coffees during the nine months of the experiment
Yoghurt Sari Buah Naga Merah (Hylocereus polyrhizus) Menurunkan Kadar Kolesterol dan Trigliserida Kelompok Dewasa dengan Hiperkolesterolemia
Authors: Hasneli Hasneli , Kasmiyetti Kasmiyetti , Oktriani Farhinza , Praleori Putri 
Published: September 2023

The aim of this study was to determine the effect of probiotic dragon fruit juice yogurt on the levels of profil lipids in hypercholesterolemic patients. The research design was quasi-experimental with a pre-post test design. The total sample was 30 people, selected using purposive sampling. Data collection was carried out for 21 days by recalling 3 x 24 hours of laboratory examination of profil lipid levels (total cholesterol, HDL, LDL, and triglycerides). Statistical tests used Paired and Independent T-Tests. Based on the results of the study, there was a significant difference in total cholesterol levels at the beginning and end of the treatment sample (p 0.05), and there was a significant difference in triglyceride levels at the beginning and end of the treatment sample (p 0.05). There was no difference in the initial HDL and LDL levels with the final HDL and LDL levels of the treatment samples (p 0.05). There was no significant difference in the initial profillipid and triglyceride levels compared to the final control samples (p 0.05). There was no significant difference in the final prolipid and triglyceride levels between the treatment samples and the control samples (p 0.05). The research concluded that dragon fruit juice yogurt can reduce cholesterol and triglyceride levels in sufferers of hypercholesterolemia. Tujuan penelitian untuk mengetahui pengaruh pemberian probiotik yoghurt sari buah naga terhadap kadar profil lipid penderita hiperkolesterolemia. Desain penelitian adalah quasi eksperimental with pre-post test design. Total sampel 30 orang dewasa, dipilih menggunakan purposive sampling. Pengumpulan data dilakukan selama 21 hari. Data konsumsi makanan diambil dengan melakukan recall 3 x 24 jam. Pemeriksaan laboratorium kadar profil lipid (kolesterol total, HDL, LDL, dan trigliserida) dilakukan sebelum dan setelah perlakuan. Uji statistik yang digunakan adalah Paired dan Independent T-Test. Berdasarkan hasil penelitian terdapat perbedaan yang bermakna kadar kolesterol total awal dan akhir sampel perlakuan (p 0,05), serta terdapat perbedaan yang bermakna kadar trigliserida awal dan akhir sampel perlakuan (p 0,05). Tidak terdapat perbedaan kadar HDL dan LDL awal dengan HDL dan LDL akhir sampel perlakuan (p 0,05). Tidak ada perbedaan yang bermakna kadar profil lipid awal dengan akhir sampel kontrol (p 0,05). Tidak ada perbedaan yang bermakna kadar profil lipid akhir sampel perlakuan dengan sampel kontrol (p 0,05). Dapat disimpulkan bahwa yoghurt sari buah naga dapat menurunkan kadar kolesterol dan trigliserida penderita hiperkolesterolemia.
Nilai Hounsfield Unit (HU) CT-Scan pada Lesi Paru-Paru Pasien Suspek COVID-19
Authors: Widiatmoko Mahfud Edy , Ramadanti Shelsa 
Published: September 2023

Latar Belakang: National Health Commission of China menyatakan bahwa Computed Tomography (CT) memiliki peranan penting dalam hal menegakkan diagnosis dan pemantauan prognosis pada pasien COVID-19 karena memiliki sensitivitas diagnostik tinggi sebesar 97,2% dan menjadi pelengkap dari pengujian RT-PCR. Gambaran CT thorax pada pasien dengan lesi paru-paru suspek COVID-19 terlihat nodul konsolidasi dan Ground Glass Opacities (GGO) di sebagian area. Sebaran nodul GGO pada COVID-19 diklasifikasikan dengan istilah CO-RADS. Karakteristik nodul lesi dapat dianalisis kepadatan jaringan dengan nilai Hounsfield Unit (HU).Tujuan: Mengetahui nilai Houndsfield Unit (HU) CT pada lesi paru-paru pasien suspek COVID-19 berdasarkan kategori CO-RADS.Metode: Penelitian ini menggunakan studi cross‑sectional berdasarkan data sekunder hasil rekonstruksi gambar pemeriksaan CT thorax dengan klinis suspek pneumonia COVID-19 tahun 2021 dan jumlah sampel 40 kasus.Hasil: Hasil rata-rata nilai HU pada kategori CO-RADS 4, 5, dan 6, berturut-turut, -203,00 HU, -168,97 HU), dan -133,57 HU). Berdasarkan uji statistik, nilai p < 0,05 yang artinya bahwa rata-rata nilai HU ketiga kategori CO-RADS berbeda secara signifikan. Kesimpulan: Ada beda tingkatan klasifikasi CO-RADS 4-6, yaitu bahwa semakin tinggi tingkatan kategori CO-RADS, semakin tinggi pula nilai HU CT pada lesi paru-paru.