bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perancangan Strategi Bisnis Menggunakan Business Model Canvas Analisis SWOT dan Analytical Hierarchy Process Pada UMKM Lestari Kopi
Authors: Aulawi Hilmi , Taptajani Dedi Sa'dudin , Faujani Zidan Ahmad 
Published: January 2025

Penelitian ini bertujuan untuk mengetahui gambaran model bisnis UMKM Lestari Kopi ditinjau dari BMC pada perusahaan serta mengetahui strategi perusahaan dengan analisis SWOT dan AHP yang dapat dikembangkan berdasarkan hasil BMC kemudian merancang model bisnis yang akan dilakukan UMKM Lestari Kopi yang digambarkan pada BMC future Pendekatan yang digunakan, yaitu kualitatif deskriptif dengan teknik analisis Business Model Canvas dan Analisis SWOT. Adapun responden dalam penelitian ini adalah tiga responden yang memiliki peran penting dari UMKM Lestari Kopi. Hasil pada penelitian ini merupakan perbaikan pada pemetaan Business Model Canvas masa kini yang meliputi sembilan elemen yaitu customer segment, value proposition, customer relationship, channel, revenue stream, key partnership, key activity, key resource, cost structure dan hasil dari Analisis SWOT mengenai perancangan strategi pengembangan bisnis dari Business Model Canvas. Hasil dari analisis SWOT memberikan gambaran kondisi perusahaan berada pada kuadran III (WO). Strategi yang didapat dari matriks SWOT (WO) didapat tiga strategi kemudian dilakukan pembobotan menggunakan Analytical Hirarchy Process (AHP) guna mendapatkan strategi mana yang paling tinggi prioritasnya berdasarkan pandangan expert. Pengolahan data menggunakan software expert choice 11 didapat strategi WO3 yang dijadikan alternatif strategi bisnis perusahaan. Usulan yang dirumuskan mengenai inovasi dan penambahan varietas produk anak perusahaan.
Analisis Building Information Modelling (BIM) 5D Pada Pekerjaan Struktur Graha Sucofindo Balikpapan
Authors: Putra Yoga Dwi , Hendriyani Irna , Pratiwi Reno 
Published: January 2025

BIM hadir sebagai bukti perkembangan teknologi digital yang telah mempengaruhi dan memberikan manfaat di lingkup pekerjaan konstruksi, mulai dari perencanaan proyek, penjadwalan proyek, pengelolaan proyek, manajemen bangunan dan lain – lainnya. Dalam menghitung anggaran biaya proyek harus dilakukan se-efisien mungkin untuk menghindari terjadinya pembengkakan biaya pembangunan. Oleh karena itu pada penelitian ini menggunakan konsep Building Information Modelling (BIM) 5D yang bertujuan untuk menganalisis selisih volume dan estimasi biaya antara metode BIM dengan perhitungan konsultan pada pekerjaan struktur Graha Sucofindo Balikpapan. Dari hasil perhitungan menggunakan konsep BIM 5D didapatkan selisih biaya pekerjaan pembesian sebesar Rp. Rp. 123.946.941,75 dengan persentase selisih sebesar 7,34% dan untuk selisih biaya pekerjaan pembetonan sebesar Rp. 234.507.945,47 dengan presentase selisih sebesar 30,32 %. Hasil dari perhitungan ini menunjukkan bahwa menggunakan konsep BIM 5D pada pekerjaan pembesian dan pembetonan dapat menghemat total biaya sebesar Rp 312.943.542,70 dengan persentase mencapai 12,71%. Hal ini berarti bahwa perhitungan biaya dengan konsep BIM 5D lebih rendah dibandingkan dari perhitungan biaya yang dihasilkan oleh konsultan. Hasil ini juga menunjukan bahwa implementasi BIM 5D di Autodesk Revit lebih efisien dalam perhitungan volume dan estimasi biaya.
Microbial-based natural products as potential inhibitors targeting DNA gyrase B of Mycobacterium tuberculosis: an in silico study
Authors: Elsaman Tilal , Mohamed Magdi Awadalla , Mohamed Malik Suliman , Eltayib Eyman Mohamed , Abdalla Abualgasim Elgaili 
Published: January 2025

IntroductionSince the emergence of Mycobacterium tuberculosis (MBT) strains resistant to most currently used anti-tubercular drugs, there has been an urgent need to develop efficient drugs capable of modulating new therapeutic targets. Mycobacterial DNA gyrase is an enzyme that plays a crucial role in the replication and transcription of DNA in MBT. Consequently, targeting this enzyme is of particular interest in developing new drugs for the treatment of drug-resistant tuberculosis, including multidrug-resistant tuberculosis (MDR-TB) and extensively drug-resistant tuberculosis (XDR-TB).MethodsIn the present study, multiple computational tools were adopted to screen a microbial-based natural products database (NPAtlas) for potential inhibitors of the ATPase activity of MBT DNA gyrase.Results and discussionTwelve hits were initially identified as the top candidates based on their docking scores (ranging from −9.491 to −10.77 kcal/mol) and binding free energies (−60.37 to −73.21 kcal/mol). Following this, computational filters, including ADME-T profiling and pharmacophore modeling, were applied to further refine the selection. As a result, three compounds 1-Hydroxy-D-788-7, Erythrin, and Pyrindolol K2 emerged as the most promising, exhibiting favorable drug-like properties. Notably, 1-Hydroxy-D-788-7, an anthracycline derivative, demonstrated superior binding affinity in molecular dynamics simulations. The RMSD values, ranging from 1.7 to 2.5 Å, alongside RMSF analysis and a detailed evaluation of the established interaction forces, revealed that 1-Hydroxy-D-788-7 was the strongest binder to Mycobacterial DNA Gyrase B. The stable binding and favorable interaction profile highlighted 1-Hydroxy-D-788-7 as a top hit. These comprehensive computational findings strongly support the potential of 1-Hydroxy-D-788-7 as an effective anti-TB lead compound, warranting further experimental validation to confirm its therapeutic efficacy.
Multi-step pre-treatment of rice husk for fractionation of components including silica
Authors: Ishida Shinnosuke , Kudo Shinji , Asano Shusaku , Hayashi Jun-ichiro 
Published: January 2025

IntroductionRice husk, a widely available agricultural by-product lignocellulosic biomass, is a promising and sustainable feedstock for organic and inorganic chemicals due to the rich silica content. However, its current application is largely limited, with most being incinerated as waste. This study introduces a novel multi-step pre-treatment process to fractionate these components efficiently, enabling their comprehensive valorization.MethodsThe process begins with hydrothermal treatment, selectively extracting hemicellulose while preserving the structural integrity of other components. This is followed by an organosolv treatment using ethanol/water mixture, optimized to dissolve and extract organosolv lignin effectively. Subsequently, alkaline aqueous solution treatment under nitrogen atmosphere facilitates the recovery of silica as sodium silicate, a valuable industrial precursor. To ensure high-purity cellulose recovery, the final step employs alkaline hydrothermal processing under oxygen, achieving effective lignin depolymerization and removal.Results and discussionEach step was carefully optimized, considering parameters such as temperature, solvent composition, and reaction time, to enhance selectivity and yield. Notably, this method reduces environmental negative impact by avoiding the use of acids while utilizing renewable solvents. The sequential application of these treatments resulted in separation exceeding 97% for hemicellulose, lignin, and silica, leaving high-purity cellulose with the loss of 22.8 wt%. Hemicellulose, organosolv lignin, and silica in the removed fractions were 66.5, 78.1, and 77.5 wt% at the first, second, and third treatments, respectively.
Role of plasma metabolome in mediating the effect of plasma lipidome on NAFLD: a Mendelian randomization study
Authors: Zheng Zhuyuan , Yang Shaojie , Dai Wanlin , Sun Yang , Wang Jingnan , Zhang Xiaolin , Zheng Yiming , Kong Jing 
Published: January 2025

BackgroundThis study explored the causal connection among the plasma lipidome, nonalcoholic fatty liver disease (NAFLD), and potential metabolome mediators through Mendelian randomization (MR).MethodsWe obtained summary statistics for 179 plasma lipidome traits (N = 7,174), 1,400 plasma metabolome traits (N = 8,299), and one NAFLD trait from publicly available genome-wide association studies. A two-sample MR analysis was conducted to infer causality. Additionally, multiple sensitivity analyses were conducted to assess the heterogeneity, horizontal pleiotropy, and robustness of the MR findings. MetaboAnalyst 6.0 was used for the pathway analysis of the identified lipids and metabolites. Furthermore, we used mediation analysis to assess whether the effect of plasma lipidome on NAFLD was mediated by plasma metabolome.ResultsThe MR analysis predicted a genetically determined causal relationship between plasma lipidomes and NAFLD. No compelling proof was found that genetically predicted NAFLD influenced the risk of the five plasma lipidomes mentioned earlier. Based on established causal relationships between lipids and metabolites, we identified that eight metabolic pathways are closely associated with NAFLD. Our mediation analysis revealed six mediation relationships, indicating the causal pathway from plasma lipids to NAFLD mediated by five specific metabolites. No potential pleiotropy was found in the sensitivity analysis.ConclusionsIn summary, our study identified causal relationships between plasma lipidomes, plasma metabolomes, and NAFLD. Certainly, the impact of plasma lipidomes on NAFLD is not limited to plasma metabolomes, indicating a need to further investigate into other possible mediators. These identified factors may become new biomarkers of the NAFLD contributing to its prevention, diagnosis, and treatment.
Effects of practical models of low-volume high-intensity interval training on glycemic control and insulin resistance in adults: a systematic review and meta-analysis of randomized controlled studies
Authors: Lu Yining , Baker Julien S. , Ying Shanshan , Lu Yichen 
Published: January 2025

ObjectivesThe aim of this systematic review and meta-analysis was to investigate the effects of practical models of low-volume high-intensity interval training protocols (LV-HIIT) on glucose control and insulin resistance compared with moderate-intensity continuous training (MICT) protocols and no-exercise controls (CON).MethodsFour databases (PubMed, Web of Science, Scopus, and Cochrane Library) were searched for randomized controlled studies conducted using LV-HIIT interventions (HIIT/SIT protocols involving ≤ 15 min of intense training, within a session lasting ≤ 30 min; &lt; 30 s all-out sprint for SIT additionally). The inclusion criteria required glucose and insulin resistance markers to be evaluated pre- and post-intervention among adults who were not trained athletes.ResultsAs a result, twenty studies were included, and meta-analyses were conducted using sixteen studies employing HIIT protocols. Compared with CON, LV-HIIT with reduced intensity and extended interval duration significantly improved fasting glucose (FPG) (mean difference (MD) in mg/dL=-16.63; 95% confidence interval (CI): -25.30 to -7.96; p&lt;0.001) and HbA1c (MD=-0.70; 95% CI: -1.10 to -0.29; p&lt;0.001). Greater improvements were found in participants who were overweight/obese or having type 2 diabetes (T2D). FPG decreased with every additional second of interval duration (β;=-0.10; 95% CI: -0.19 to -0.00; p=0.046). FPI (β;=-0.65; 95% CI: -1.27 to -0.02; p=0.042) and HOMA-IR (β;=-0.22; 95% CI: -0.36 to -0.09; p=0.001) decreased with every additional minute of interval duration per session. HOMA-IR also decreased with every additional minute of weekly interval duration (β;=-0.06; 95%CI: -0.08 to -0.04; p&lt;0.001). Compared with MICT, LV-HIIT was more effective in improving insulin sensitivity (SMD=-0.40; 95%CI: -0.70 to -0.09; p=0.01), but there were no differences in FPG, FPI, HbA1c or HOMA-IR (p&gt;0.05). The effect of LV-HIIT on FPI was larger compared with MICT among individuals who lost weight.ConclusionConclusively, a practical model of LV-HIIT with reduced intensity and extended interval was effective in improving glucose control and its effects were similar to MICT. Greater improvements were found in individuals with overweight/obesity or T2D in protocols with longer intervals or accumulated interval duration per session/week. More large-scale, randomized controlled studies with similar intervention protocols in a wide range of population are warranted to confirm these important results.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD42024516594.
Uncertainty in soil gas permeability measurements
Authors: Feng Lingxia , Hu Junguo , Jiang Junjie 
Published: January 2025

IntroductionSoil gas permeability is critical to the study of soil pore structure, soil gas transport, and crop growth.MethodsIn this paper, a pressure decay method is proposed to calculate soil gas permeability based on the law of conservation of mass, which is measured and compared with the steady-state method in a variety of soils, including compacted soils and soils with different moisture contents. The applicability of the two methods and the effects of compaction and water content on soil gas permeability were explored.ResultsThe experimental results show that in low-permeability soils, there is a bias in the measured values of the steady-state method. In contrast, the results calculated based on the pressure decay method are more accurate. Increasing the water content of the soil or compacting the soil results in a 20%–88% or 63%–93% decrease in soil gas permeability, respectively, with the degree of decrease correlating with the viscosity of the medium.DiscussionThe findings show that calculating soil gas permeability based on the pressure decay method helps compensate for the inaccuracy of the steady-state method in measuring results in low-permeability soils. This leads to a better evaluation of soil aeration conditions, which, in turn, serves environmental, agricultural, and ecological research.
Identification and preliminary validation of biomarkers associated with mitochondrial and programmed cell death in pre-eclampsia
Authors: Lin Rong , Weng XiaoYing , Lin Liang , Hu XuYang , Liu ZhiYan , Zheng Jing , Shen FenFang , Li Rui 
Published: January 2025

BackgroundThe involvement of mitochondrial and programmed cell death (mtPCD)–related genes in the pathogenesis of pre-eclampsia (PE) remains inadequately characterized.MethodsThis study explores the role of mtPCD genes in PE through bioinformatics and experimental approaches. Differentially expressed mtPCD genes were identified as potential biomarkers from the GSE10588 and GSE98224 datasets and subsequently validated. Hub genes were determined using support vector machine, least absolute shrinkage and selection operator, and Boruta based on consistent expression profiles. Their performance was assessed through nomogram and artificial neural network models. Biomarkers were subjected to localization, functional annotation, regulatory network analysis, and drug prediction. Clinical validation was conducted via real-time quantitative polymerase chain reaction (RT-qPCR), immunofluorescence, and Western blot.ResultsFour genes [solute carrier family 25 member 5 (SLC25A5), acyl-CoA synthetase family member 2 (ACSF2), mitochondrial fission factor (MFF), and phorbol-12-myristate-13-acetate–induced protein 1 (PMAIP1)] were identified as biomarkers distinguishing PE from normal controls. Functional analysis indicated their involvement in various biological pathways. Immune analysis revealed associations between biomarkers and immune cell activity. A regulatory network was informed by biomarker expression and database predictions, in which KCNQ1OT1 modulates ACSF2 expression via hsa-miR-200b-3p. Drug predictions, including clodronic acid, were also proposed. Immunofluorescence, RT-qPCR, and Western blot confirmed reduced expression of SLC25A5, MFF, and PMAIP1 in PE, whereas ACSF2 was significantly upregulated.ConclusionThese four mtPCD-related biomarkers may play a pivotal role in PE pathogenesis, offering new perspectives on the disease’s diagnostic and mechanistic pathways.
Single-cell RNA sequencing and AlphaFold 3 insights into cytokine signaling and its role in uveal melanoma
Authors: Sun Hongyan , Li Cunzi , Pu Zuhui , Lu Ying , Wu Zijing , Zhou Lan , Lin Hongzhan , Wang Yumo , Zi Tao , Mou Lisha , Yang Ming-ming 
Published: January 2025

BackgroundUveal melanoma (UVM) is a form of eye cancer with a poor prognosis, particularly in metastatic patients. This study aimed to elucidate the cellular heterogeneity within UVM and identify prognostic biomarkers.MethodsWe performed single-cell RNA sequencing (scRNA-seq) on primary and metastatic UVM samples. A UVM-specific gene signature was constructed using LASSO regression and validated via ROC curve analysis in the TCGA-UVM and GSE84976 cohorts. AlphaFold 3 was used to predict the 3D structures of key proteins. T-cell populations were analyzed using pseudotime trajectory mapping and interaction network visualization. CRISPR-Cas9 screening analysis was conducted to identify hub genes and cytokine pathways that may serve as therapeutic targets. Additionally, we constructed the Dictionary of Immune Responses to Cytokines at single-cell resolution to evaluate cytokine signatures.ResultsScRNA-seq revealed five major cell types within UVMs and subdivided them into seven distinct subtypes. Cytokine signaling analysis revealed differential expression of cytokine signaling in immune-related genes (CSIRGs) across these subtypes in primary and metastatic tumors. The UVM-specific gene signature demonstrated high predictive accuracy in ROC curve analysis and was associated with overall survival in Kaplan–Meier survival analyses. Additionally, AlphaFold 3 predicted the 3D structures of key proteins with high confidence. T-cell population analysis revealed complex developmental pathways and interaction networks in UVM. Myeloid-derived suppressor cells (MDSCs) were found to be increased in metastatic UVM, correlating with the enrichment of GM-CSF. CRISPR-Cas9 screening analysis identified hub genes and cytokine pathways with low gene effect scores across cell lines, indicating their potential importance in UVM.ConclusionThis study identified critical cellular subtypes and prognostic biomarkers in UVM, shedding light on targeted therapies. The insights into cytokine signaling and T-cell dynamics within the UVM microenvironment provide a foundation for developing personalized therapeutic strategies to improve patient outcomes.
Efficacy and safety of PD-1 inhibitors as second-line treatment for advanced squamous esophageal cancer: a systematic review and network meta-analysis with a focus on PD-L1 expression levels
Authors: Yang Fei , Dan Min , Shi Jindan , Fan Ling , Zhang Haoluo , Jian Tiantian , Lei Kelu , Wang Yue , Xin Juan , Yu Zhigang , Chen Wei 
Published: January 2025

BackgroundPD-1 inhibitors have shown promising efficacy in enhancing OS and AEs as second-line therapies for patients with advanced esophageal squamous cell carcinoma (ESCC). However, there remains no clear consensus on which PD-1 inhibitor provides the best balance between efficacy and safety. To address this key issue in the second-line treatment of ESCC, we conducted a network meta-analysis (NMA) with a focus on OS benefits, particularly in patients with different levels of PD-L1 expression.MethodsA systematic search of relevant literature was conducted in Web of Science, Embase, PubMed, and Cochrane Library, covering publications from the inception of these database to June 2024. The evaluated endpoints included OS, progression-free survival (PFS), objective response rate (ORR), AEs, and Grade ≥ 3 adverse events (Grade ≥ 3 AEs). A systematic review and Bayesian network meta-analysis were performed to assess the efficacy and safety of various immunotherapy regimens in patients with advanced ESCC. To ensure transparency, novelty, and reliability, this study was prospectively registered in the systematic review registry (CRD42024540581).ResultsFive randomized controlled trials (RCTs), encompassing 2,078 patients and six treatment regimens, were included in this study. Among advanced ESCC patients not selected based on PD-L1 expression, Sintilimab demonstrated the greatest OS benefit (HR = 0.70, 95% CI: 0.50-0.98). Camrelizumab showed the most favorable improvement in PFS compared to chemotherapy (HR = 0.64, 95% CI: 0.47-0.87) and also achieved the best ORR benefit (OR = 3.72, 95% CI: 1.98-6.99). In terms of safety, Nivolumab (OR = 0.10, 95% CI: 0.05-0.19) and Tislelizumab (OR = 0.18, 95% CI: 0.10-0.33) exhibited significant safety advantages over chemotherapy concerning AEs. Moreover, Nivolumab (OR = 0.13, 95% CI: 0.08-0.20) was associated with a markedly lower risk of Grade ≥ 3 AEs compared to chemotherapy. Subgroup analysis based on PD-L1 expression revealed that Tislelizumab (HR = 0.53, 95% CI: 0.37-0.76) offered the greatest OS benefit for patients with PD-L1 ≥ 10%, while Camrelizumab (HR = 0.71, 95% CI: 0.57-0.89) was the most likely regimen to provide an OS advantage for patients with PD-L1 &lt; 10%.ConclusionCompared to chemotherapy, PD-1 inhibitors may provide improved survival outcomes for patients with advanced ESCC. Among patients not selected based on PD-L1 expression, Sintilimab is most likely to deliver the best survival benefit. For patients with PD-L1 expression ≥ 10%, Tislelizumab is expected to offer the greatest efficacy, while Camrelizumab appears to be the most effective for those with PD-L1 &lt; 10%.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier CRD42024540581.
Identification and validation of immune and diagnostic biomarkers for interstitial cystitis/painful bladder syndrome by integrating bioinformatics and machine-learning
Authors: Zhou Tao , Zhu Can , Zhang Wei , Wu Qiongfang , Deng Mingqiang , Jiang Zhiwei , Peng Longfei , Geng Hao , Tuo Zhouting , Zou Ci 
Published: January 2025

BackgroundThe etiology of interstitial cystitis/painful bladder syndrome (IC/BPS) remains elusive, presenting significant challenges in both diagnosis and treatment. To address these challenges, we employed a comprehensive approach aimed at identifying diagnostic biomarkers that could facilitate the assessment of immune status in individuals with IC/BPS.MethodsTranscriptome data from IC/BPS patients were sourced from the Gene Expression Omnibus (GEO) database. We identified differentially expressed genes (DEGs) crucial for gene set enrichment analysis. Key genes within the module were revealed using weighted gene co-expression network analysis (WGCNA). Hub genes in IC/BPS patients were identified through the application of three distinct machine-learning algorithms. Additionally, the inflammatory status and immune landscape of IC/BPS patients were evaluated using the ssGSEA algorithm. The expression and biological functions of key genes in IC/BPS were further validated through in vitro experiments.ResultsA total of 87 DEGs were identified, comprising 43 up-regulated and 44 down-regulated genes. The integration of predictions from the three machine-learning algorithms highlighted three pivotal genes: PLAC8 (AUC: 0.887), S100A8 (AUC: 0.818), and PPBP (AUC: 0.871). Analysis of IC/BPS tissue samples confirmed elevated PLAC8 expression and the presence of immune cell markers in the validation cohorts. Moreover, PLAC8 overexpression was found to promote the proliferation of urothelial cells without affecting their migratory ability by inhibiting the Akt/mTOR/PI3K signaling pathway.ConclusionsOur study identifies potential diagnostic candidate genes and reveals the complex immune landscape associated with IC/BPS. Among them, PLAC8 is a promising diagnostic biomarker that modulates the immune response in patients with IC/BPS, which provides new insights into the future diagnosis of IC/BPS.