bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of nutritional status and pulmonary function on short- and long-term overall survival in hemodialysis patients
Authors: Aydın Güçlü Özge , Erol Hasim Atakan , Acet Öztürk Nilüfer Aylin , Gorek Dilektasli Asli , Coskun Funda , Yıldız Abdulmecid , Karadag Mehmet 
Published: January 2025

Background
End-stage renal disease (ESRD) patients frequently experience protein-energy wasting (PEW), which increases their morbidity and mortality rates.

Objective
This study explores the effects of nutritional status and pulmonary function on the short- and long-term mortality of ESRD patients undergoing hemodialysis.

Materials and methods
67 consecutive ESRD patients on maintenance hemodialysis were included in the study. The primary outcomes were all-cause one-year and five-year mortality. Data on demographic characteristics, comorbidities, and laboratory findings were collected. Pulmonary function tests were conducted along with body composition measurements using bioelectrical impedance analysis (BIA). Malnutrition was assessed using the Prognostic Nutritional Index (PNI).

Results
The median age of the patients was 60.9 ±  12.4 years, with 58.3% being male. Pulmonary function parameters (FEV1 and FVC) were significantly associated with short-term mortality. The PNI was a significant predictor of both short-term and long-term mortality. A PNI score ≤  39.01 was associated with increased short-term mortality (HR: 0.65, 95% CI: 0.48–0.88, p =  0.006), while a score ≤  40 was linked to increased long-term mortality (HR: 0.80, 95% CI: 0.67–0.95, p =  0.015). Additionally, older age (HR: 1.06, 95% CI: 1.01–1.12, p =  0.021) and higher glomerular filtration rate (GFR) (HR: 1.23, 95% CI: 1.02–1.42, p =  0.024) were related to increased long-term mortality risk.

Conclusion
The study demonstrates that PNI, age, and pulmonary function are critical factors influencing the survival of hemodialysis patients. These findings underscore the importance of comprehensive nutritional and pulmonary assessment to improve clinical outcomes in this population.
Association of P2X7 polymorphisms on Type 2 diabetes mellitus susceptibility and diabetic complications
Authors: Huang Guoni , Cheng Jing , Liu Wenfeng , Yang Tong , Ye Tao , Zhang Qian , Chen Qi , Xu Yuzhong 
Published: January 2025

Objectives
This case-control study aims to clarify the impact of single nucleotide polymorphisms (SNPs) within the P2X7 gene on susceptibility to type 2 diabetes mellitus (T2DM) and to evaluate their association with diabetic complications.

Methods
This study is comprised with 200 T2DM cases and 200 healthy controls. Seven candidate SNP loci were screened, and TaqMan-MGB real-time PCR technology was used to determine the polymorphic variants of P2X7. Different genotype and allele frequencies were compared by Pearson’s χ2 tests and logistic regression analysis.

Results
Three P2X7 SNPs were found to be associated with T2DM risk. Specifically, rs7958311 GA (OR = 1.323, p = 0.002), rs7958311 AA (OR = 1.508, p = 0.038), rs208294 CC (OR = 1.854, p = 0.042) showed a higher susceptibility to T2DM, whilst rs11065464 CA (OR = 0.614, p = 0.022) was associated with a reduced risk. Logistic regression analysis indicated that rs7958311 was linked to an increased risk for nephropathy (OR = 1.833, p = 0.022), but with a decreased risk for peripheral artery disease (OR = 0.550, p = 0.042). Additionally, rs208294 was identified as a risk factor for peripheral neuropathy (OR = 2.101, p = 0.016).

Conclusions
We found that P2X7 polymorphisms are significantly associated with the risk of T2DM and its complications, suggesting that targeting P2X7 may offer a novel therapeutic strategy for the prevention and personal treatment of T2DM.
The development of standards & guidelines for undergraduate chemistry education
Authors: Brooks Michelle M. , Lawal Wasiu 
Published: January 2025

Abstract
The development of standards and guidelines for undergraduate chemistry programs across the globe can ensure that students and faculty have the facilities, curriculum, skills, and infrastructure to support chemistry education. The American Chemical Society began its exploration of standards in the United State in the 1930s culminating in the ACS Approval Program, which currently includes over 700 programs in the United States. In 2019, ACS embarked on the development of an ACS Recognition Program for programs worldwide. The development of guidelines and standards for these related, but not identical, programs is based on the core principles of the ACS and the needs of the broader chemistry education community. It involved an iterative process that included contributions from chemistry professionals, educators, employers, and other stakeholders, with feedback from the broader academic community. The goal of these guidelines and the approval and recognition programs is to ensure that students have an engaged faculty, a safe and inviting space to learn, access to modern instrumentation for teaching and research, a safe, inclusive, and equitable environment in which to learn, and the content knowledge and skills needed for success as a chemical professional.
Identification of hub genes and pathways in mouse with cold exposure
Authors: Wang Xu , Hu Hongbo , Zhang Ying 
Published: January 2025

Abstract

Background
Cold exposure is linked to numerous diseases, yet the changes in key genes and pathways in mice under cold exposure remain unexplored. Understanding these alterations could offer insights into the mechanisms of cold resistance and contribute valuable ideas for treating cold-related diseases.

Methods
The dataset GSE148361 was obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified using the “limma” package in R software. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed on DEGs. The STRING (Search Tool for the Retrieval of Interacting Genes) database was used to construct a protein-protein interaction (PPI) network. Additionally, gene set enrichment analysis (GSEA) was conducted to identify pathways associated with key genes. miRNAs and upstream transcription factors (TFs) were predicted using the miRNet database.

Results
A total of 208 DEGs were identified, with 137 upregulated and 71 downregulated. In biological processes, DEGs were enriched in nucleotide and purine-containing compound metabolism. For cellular components, DEGs were involved in condensed chromosomes and mitochondrial protein complexes. In molecular functions, proton transmembrane transporter activity was enriched. KEGG pathway analysis showed significant enrichment in biosynthesis of unsaturated fatty acids, fatty acids, and pyruvate metabolism. From the PPI network, 12 hub genes were identified using MCODE. Four hub genes (Col3a1, fi203, Rtp4, Vcan) demonstrated similar trends in a validation set (GSE110420) and were significantly differentially expressed. GSEA analysis indicated that these four genes were enriched in pathways such as ECM-receptor interaction and cytokinecytokine receptor interaction. The hub gene network included 93 miRNAs and one TF

Conclusion
This study identified four hub genes as potential diagnostic biomarkers for cold exposure, providing insights for further research on the effects of cold on gene expression and disease.
The function and effect on prognosis of ANXA2 in gastric cancer peritoneal metastasis patients in cold region
Authors: Jin Shiyang , Liang Longxu , Huang Xiaoyi , Wang Kuan 
Published: January 2025

Abstract

Objective
Heilongjiang Province is part of the northern cold areas of China, where gastric cancer is one of the most common gastrointestinal malignancies. Peritoneal metastases (PM) are the leading cause of mortality among patients. This study conducted bioinformatics and basic research on the gene ANXA2 (Annexin A2), which may influence the prognosis of patients.

Methods
Genome sequencing was performed on patients from Heilongjiang to identify potential genes impacting survival time. The function of ANXA2 in gastric cancer was analyzed using multiple bioinformatics databases, focusing on its pathways and mechanisms. ANXA2-knockout gastric cancer cell lines were constructed, and in vitro assays, including CCK-8, flow cytometry, scratch, and Transwell experiments, were conducted. A nude mouse tumorigenesis model was also developed to analyze in vivo effects.

Results
ANXA2 was found to be expressed at higher levels in gastric cancer tissue than in normal gastric tissue, and its mRNA levels were associated with short overall survival (OS). Enrichment analysis indicated that ANXA2 is primarily localized on the cell membrane and primarily influences the PI3K-AKT signaling pathway. Cytological experiments demonstrated that knockdown of ANXA2 suppresses the growth and migration of gastric carcinoma cells, an effect that was also observed in vivo.

Conclusions
ANXA2 is essential for gastric cancer growth and may represent a potential risk factor affecting the survival probability of patients in cold regions.
Arthroscopic patellar denervation with microfracture for treating patellofemoral arthritis in cold weather conditions: a retrospective clinical analysis
Authors: Ma Xinnan , Zhang Xin , Ma Yingkai , Zhao Yonghou , Liu Kai 
Published: January 2025

Abstract

Objective
To evaluate the clinical efficacy of combining arthroscopic patellar denervation with microfracture in the treatment of patellofemoral arthritis under cold weather conditions.

Methods
A total of 134 patients with patellofemoral arthritis who underwent treatment between June 2019 and June 2021 were included in this study. Patients were randomly divided into two groups: the control group, which received standard arthroscopic debridement and conventional therapy, and the study group, which underwent additional peripatellar denervation and microfracture procedures. Clinical outcomes, including Tegner scores, hospital for special surgery (HSS) scores, and treatment-related adverse events, were evaluated and compared between the two groups.

Results
The study group achieved a significantly higher excellent treatment rate (95.52%, 64/67) compared to the control group. Posttreatment Tegner scores (5.48 ± 1.86) and HSS scores (86.37 ± 11.25) were also significantly better in the study group than in the control group. Furthermore, the incidence of adverse reactions was lower in the study group (4.48%, 3/67), with statistically significant differences observed (P< 0.05).

Conclusions
Arthroscopic patellar denervation combined with microfracture markedly improves clinical outcomes, including Tegner and HSS scores, in the treatment of patellofemoral arthritis, particularly under cold weather conditions. The procedure is effective and safe, supporting its broader clinical application.
Enhancing transmission reach: performance analysis of WDM RoF PON OFDM system design with varied QAM schemes
Authors: Prajapati Jayeshkumar C. , Pankhaniya Shyamkumar A. , Maradia Kishor G. 
Published: January 2025

Abstract
Radio over fiber is upcoming and maturing technology in terms of security, reliability, and coverage for long-distance optical-wireless communication systems. The nonlinear behavior and dispersive nature of optical channels are performance restrictive factors limiting the long reach in such systems. Along with enhancing channel capacity and bandwidth for radio signals over a long distance, the use of OFDM-based such systems can overcome various performance degrading effects like phase modulation, electrical power attenuation, chromatic dispersion, and multipath fading. Here, we propose our design of an 8 channels WDM RoF PON system using the OFDM scheme. Performance analysis is carried out in terms of performance comparison for various modulation schemes like 8, 16, 128, 256, and 512 QAM levels applied on information for long transmission reach of a system up to 500Kms. 8 channels WDM system model is developed to analyze the performance at a higher data rate. System performance is evaluated with Q factor and EVM level parameters of recovered signals at various transmission distances.
Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects
Authors: Kim Junhyeong , Kim Jae-Yong , Kim Jungmin , Hyeong Yun , Neseli Berkay , You Jong-Bum , Shim Joonsup , Shin Jonghwa , Park Hyo-Hoon , Kurt Hamza 
Published: January 2025

Abstract
Nanophotonics, which explores significant light–matter interactions at the nanoscale, has facilitated significant advancements across numerous research fields. A key objective in this area is the design of ultra-compact, high-performance nanophotonic devices to pave the way for next-generation photonics. While conventional brute-force, intuition-based forward design methods have produced successful nanophotonic solutions over the past several decades, recent developments in optimization methods and artificial intelligence offer new potential to expand these capabilities. In this review, we delve into the latest progress in the inverse design of nanophotonic devices, where AI and optimization methods are leveraged to automate and enhance the design process. We discuss representative methods commonly employed in nanophotonic design, including various meta-heuristic algorithms such as trajectory-based, evolutionary, and swarm-based approaches, in addition to adjoint-based optimization. Furthermore, we explore state-of-the-art deep learning techniques, involving discriminative models, generative models, and reinforcement learning. We also introduce and categorize several notable inverse-designed nanophotonic devices and their respective design methodologies. Additionally, we summarize the open-source inverse design tools and commercial foundries. Finally, we provide our perspectives on the current challenges of inverse design, while offering insights into future directions that could further advance this rapidly evolving field.
Curcumin-encapsulated Pluronic micelles in chitosan/PEO nanofibers: a controlled release strategy for wound healing applications
Authors: Kharat Zahra , Azarnia Maliheh , Ranjbar Parviz Rashidi , Kabiri Mahboubeh 
Published: January 2025

Abstract
Chitosan-based nanofibers loaded with therapeutic agents are promising for wound treatment but loading hydrophobic compounds remains challenging. To address the limitations of curcumin incorporation in chitosan/polyethylene oxide (CS/PEO) nanofibers, we developed a novel Pluronic-based micelle to encapsulate curcumin, followed by the incorporation of zinc oxide nanoparticles (ZnO-NPs) as an antibacterial agent to improve the performance of the wound dressings’ materials. We successfully fabricated CS/PEO scaffolds via electrospinning, incorporating curcumin-loaded micelles and synthesized ZnO-NPs. Comprehensive morphology characterization was performed using SEM, and the presence of ZnO-NPs and curcumin was verified by EDX and FT-IR spectroscopy. The developed nanofibers showed a slower release profile, with approximately 80 % of curcumin released into the aqueous medium within 24 h and appearing to progress to a steady state by five days. Notably, the nanofiber mats exhibited antibacterial activity against the Gram-positive bacterium Staphylococcus aureus, and supported fibroblast proliferation and attachment, indicating excellent biocompatibility. These findings suggest that the developed nanofiber scaffold, characterized by its controlled drug release, potent antibacterial properties, and biocompatibility, holds promise as an advanced wound dressing material.
A vizuális elemek tartalmának szerepe az online felsőoktatási marketingben - Feltáró kutatás a nemzetközi hallgatók körében
Authors: Kéri Anita 
Published: January 2025

A TANULMÁNY CÉLJA
A tanulmány célja, hogy feltárja, milyen online megjelenő képi marketingtartalmakat érdemes használnia a felsőoktatási intézményeknek a jelenlegi külföldi hallgatóik hatékonyabb megszólítása érdekében a különböző vizuális elemek megjelenítésén keresztül, különös tekintettel az intézmények honlap felületeire.
MÓDSZERTAN
A szekunder szakirodalmi feltárás során az online felsőoktatási marketing sajátosságai és a szemkamerás kutatási módszertan kerülnek áttekintésre. A kutatási cél elérésének érdekében primer kutatásként szemmozgáskövetéses adatfelvétel, valamint RTA (Retrospective Think Aloud) interjúk készültek a vizsgált egyetem külföldi hallgatóival. A szemkamerás kutatás esetén az alanyok a vizsgált egyetem honlapjának képeit láthatták, melyet követően RTA interjúk segítettek a tartalom visszaidézésében. A szemkamerás ingeranyagok két csoportba sorolhatók. Az egyik képtípuson a hallgatók saját társaikat láthatták egyetemi környezetben és egyetemi eseményen, míg a másik képtípuson ismeretlen emberekkel készített, úgynevezett „stock” fotók találhatók. A képek mellett megjelenített üzenetek minden esetben a külföldi hallgatók számára releváns és hasznos információkat tartalmaztak.
LEGFONTOSABB EREDMÉNYEK
A kvantitatív és kvalitatív adatfelvétel eredményei azt mutatják, hogy a vizsgált külföldi hallgatók, habár kevesebb figyelmet szentelnek azoknak a tartalmaknak, melyeken ismerős arcokat vélnek felfedezni, mint a „stock” képeknek, mégis jobban emlékeznek azokra az információkra, melyek ismerős arcokkal tarkított képeken jelennek meg.
GYAKORLATI JAVASLATOK
A kutatás eredményei hatékonyabb üzenetátadási formákat és célzottabb felsőoktatási marketinget eredményeznek, ugyanis kiderült, hogy az alanyok számára az ismerős arcok megjelenítése vonzóbb, a vonatkozó információkat hatékonyabban megjegyzik szemben a fizetett képekkel. A kutatás fontos üzenete a vizsgált intézmény felsőoktatási marketinges kollégáinak, hogy olyan vizuális elemeket alkalmazzanak a gyakorlatban, melyek saját eseményeik és saját hallgatóik ábrázolása mellett adnak át fontos információkat és szólítják meg a célcsoportot, hiszen az üzenetátadás így hatékonyabbnak bizonyul a „stock” fotókkal szemben.

Köszönetnyilvánítás: A kutatást a Szegedi Tudományegyetem Interdiszciplináris Kutatásfejlesztési és Innovációs Kiválósági Központ (IKIKK) Humán és Társadalomtudományi Klaszterének IKT és Társadalmi Kihívások Kompetenciaközpontja támogatta. A szerző a Felsőoktatási kutatócsoport tagja.
A hazai agrár-élelmiszeripari ellátási láncok válaszai a XXI. századi kihívásokra – a digitalizáció szerepe
Authors: Freund Anna , Jámbor Zsófia , Nagy Judit 
Published: January 2025

A TANULMÁNY CÉLJA
Jelen tanulmány célja, hogy megvizsgálja az Ipar 4.0, digitalizáció hazai agrár-élelmiszeripari ellátási láncokra gyakorolt hatását egy korábbi bibliometriai elemzés során azonosított kutatási irányok segítségével.
ALKALMAZOTT MÓDSZERTAN
Az empirikus kutatás lefolytatásához kvalitatív kutatásmódszertani megoldást alkalmaztunk, az elemzéshez 20 interjút készítettünk az agrár-élelmiszeripari ellátási lánc szereplőivel az alapanyagtermelőktől kezdve a feldolgozókon át a kiskereskedőkig azért, hogy gyakorlati betekintést kaphassunk a különböző digitális megoldások lehetőségeiről, hatásáról a szisztematikus szakirodalom elemzés eredményeképpen kialakított elemzési keretünk segítségével.
LEGFONTOSABB EREDMÉNYEK
Eredményeink kihangsúlyozzák az egyes ágazatokra szabott digitális stratégiák szükségességét, kiemelve a digitalizáció szerepét a működési rugalmasság, megbízhatóság és ellenálló képesség javításában. Továbbá felhívják a figyelmet arra, hogy ellátási lánc szinten is szükség van összehangolt lépésekre, nemcsak a fogyasztó irányába, hanem a reverz folyamatokban is, így a hulladékkezelési kérdések digitalizáció általi támogatottsága is kiemelkedő szerephez juthat a fenntartható és nyomon követhető folyamatok kialakítása során.
GYAKORLATI JAVASLATOK
A tanulmány a politikai döntéshozók számára kívánja felhívni a figyelmet arra, hogy prioritásként kell kezelniük az élelmiszerbiztonsági és nyomon-követhetőségi előírások javítását az élelmiszeripari ellátási láncokban. Emellett pedig a fenntartható gyakorlatok szabályozással és ösztönzőkkel történő előmozdítását javasoljuk, beleértve a megújuló energiával kapcsolatos projekteket és a hulladékcsökkentési kezdeményezéseket. Végül pedig kiemelten fontosnak tartjuk a digitális infrastruktúrába és képzési programokba való beruházás támogatását, ezzel is előmozdítva az innovációt és a termelékenység növelését.

Köszönetnyilvánítás: A Nemzeti Kutatási, Fejlesztési és Innovációs Alap forrásából a Kulturális és Innovációs Minisztérium ÚNKP-23-4-II-CORVINUS-18 Új Nemzeti Kiválósági Programjának támogatásával.
Optimization of Mechanics and Rheology of Grouting Materials Based on Carbon Nanotubes
Authors: Liu Jingyi , Wang Yongwei , Gao Ni , Liu Kaiping , Wen Jiuran 
Published: January 2025

Abstract
As one of the pillar industries of the national economy, the construction industry has increasingly high requirements for the performance of grouting materials. To overcome the shortcomings of low tensile strength and poor toughness of grouting materials, this study selects raw materials such as quartz powder and completes the ultra-fine grouting material ratio through the theory of slurry filling and wrapping. Carbon nanotubes are used to improve the performance of the grouting material. The results indicated that in mechanical performance testing, as the content of carbon nanotubes increased, the strength first increased and then decreased. Among them, when the dosage was 0.1–0.2 %, the flexural strength and compressive strength had the highest increase of 33.62 % and 29.30 %, respectively, with the best reinforcement effect. In terms of rheological properties, the grouting materials were adversely affected by dispersants. The addition of carbon nanotubes increased its yield stress and plastic viscosity with increasing dosage. However, at the appropriate dosage, the normal flow performance and compressive strength were effectively guaranteed. As the diameter of carbon nanotubes increased, the impact of carbon nanotubes on the viscosity of the grouting material decreased. Furthermore, the effect of diameter changes was more pronounced. As a result, carbon nanotubes have optimized the mechanical properties and rheological properties of the grouting material, providing a reliable reference for engineering applications.
Metabolic Analysis of the Mode of Action and Mode of Resistance for Novobiocin in Staphylococcus aureus
Authors: Xie Weile , Luo Dan , Wang Zhe 
Published: January 2025

Objective:
Methicillin resistant Staphylococcus aureus (MRSA) and Vancomycin resistant Staphylococcus aureus (VRSA) are critical pathogens identified by the WHO for their significant drug resistance. Targeting of bacterial gyrase, specifically the gyrB subunit, is a promising approach because of this enzyme’s essential role in bacterial DNA replication and its absence in higher eukaryotes. However, understanding of the mode of action of gyrB inhibitors remains largely incomplete. This study explored the resistance mechanisms of Staphylococcus aureus (S. aureus) to novobiocin, a gyrB inhibitor.

Methods:
Through adaptive laboratory evolution, key resistance mutations (in gyrB, potB, and fpgS) in S. aureus were identified after repeated exposure to novobiocin. Further metabolomic analysis revealed the function of the major mutation (in gyrB) in relation to the potential mechanism through which S. aureus responds to novobiocin.

Results:
Through whole genome sequencing, three mutations of S. aureus in gyrB, potB, and fpgS were identified. The gyrB mutation was the primary driver of resistance, and was associated with changes in growth, survival under surface and oxidative stress, cell wall permeability, and coagulation functions. Metabolomic analysis demonstrated compensatory metabolic adjustments affecting protein synthesis and DNA replication in the resistant strain.

Conclusions:
These findings provide insights into the complex resistance mechanisms of S. aureus to novobiocin and highlight the metabolic costs associated with gyrB mutations, thereby potentially informing future antibacterial strategy development.