bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Ekuitas Merek Terhadap Keputusan Pembelian Produk Skincare Dengan Perilaku Konsumen Sebagai Variabel Intervening (Penelitian komparatif produk skincare Wardah dan Emina di Kabupaten Tulungagung)
Authors: Agustine Vivian farani , Askafi Eka , Rahmawati Zulfia 
Published: January 2025

This study aims to determine the Influence of Brand Equity on Purchase Decisions through Consumer Behavior as an Intervening Variable. The study also aims to compare between Wardah Skincare Brand Equity and Emina Skincare Brand Equity whether there is a significant difference between the two skincare brands. This research is a type of quantitative research, with data collection techniques using questionnaires. And the data will be analyzed using the Path analysis method using the SmartPLS3 Application. The population in this study is Wardah Skincare and Emina Skincare Consumers in Tulungagung regency which is infinitely numerous. The sampling technique in this study is using the Accindental Sampling technique. The results of the study showed that Brand Equity had an effect on Consumer Behavior, Consumer Behavior had an influence on Purchase Decisions, Brand Equity had an effect on Purchase Decisions, so all hypotheses were accepted, and the indirect influence hypothesis showed significant value. The comparison between Wardah skincare Brand Equity is more beautiful than that of Emina skincare Brand Equity which can be proven in the results of the Outer model Convergent validity and Validity Discrimination tests.
Deteksi Rambu Lalu Lintas Real-Time di Indonesia dengan Penerapan YOLOv11: Solusi Untuk Keamanan Berkendara
Authors: Pradana Afu Ichsan , Harsanto Harsanto , Wijiyanto Wijiyanto 
Published: January 2025

Penelitian ini bertujuan untuk merumuskan dan menilai kerangka deteksi rambu lalu lintas real-time dalam konteks di negara Indonesia, menggunakan YOLOv11. Mengingat sifat heterogen rambu-rambu lalu lintas dan kondisi jalan raya di Indonesia, ada kebutuhan mendesak untuk model yang tangguh dan tepat guna meningkatkan keselamatan berkendara. Metode yang digunakan adalah YOLOv11, sebuah algoritma deep learning yang dirancang untuk deteksi objek dengan kecepatan tinggi dan akurasi tinggi. Algoritma ini memproses gambar dalam satu langkah inferensi dan memiliki arsitektur yang dioptimalkan untuk pengenalan real-time. Proses meliputi preprocessing data seperti augmentasi dan anotasi, pelatihan model menggunakan dataset rambu lalu lintas Indonesia, serta evaluasi performa model menggunakan metrik precision, recall, dan mean average precision (mAP). Temuan menunjukkan bahwa model berhasil mencapai mAP 0,99, dengan akurasi tinggi di berbagai klasifikasi rambu lalu lintas. Evaluasi menggunakan Confusion Matrix menunjukkan tingkat kesalahan yang dapat diabaikan, menandakan keandalan model untuk aplikasi dunia nyata. Aplikasi potensial teknologi ini sangat penting dalam memperkuat sistem keselamatan berkendara dan transportasi cerdas di Indonesia.
Perencanaan Pengendalian Resiko Keselamatan dan Kesehatan Kerja dengan Metode Hazard Identification Risk Assessment and Risk Control
Authors: Chandrahadinata Doddy , Taptajani Dedi Sa'dudin , Sopian Yusup 
Published: January 2025

Penelitian ini bertujuan untuk mendapatkan rencana pengendalian keselamatan dan kesehatan kerja di CV. Sinar Brahma Rasid Garut. Penyamakan kulit sapi adalah proses yang berpotensi menimbulkan berbagai bahaya keselamatan dan kesehatan kerja (K3) bagi pekerja dan lingkungan. CV. Sinar Brahma Rasid adalah perusahaan yang bergerak dibidang penyamakan kulit sapi, kambing, dan domba dengan memakai berbagai metode penyamakan seperti minireal, nabati, alami, sintetis, minyak, atau kombinasi. Untuk mencegah dan mengurangi resiko k3, perusahaan ini menerapkan metode hirarc (Hazard Identification, Risk Assessment, & Risk Control) HIRARC dan 5W1H (What, Why, Where, Who,dan How) dalam perencanaan pengendalian resiko K3. Metode HIRARC digunakan untuk mengidetifikasi bahaya yang terkait dengan setiap tahapan proses penyamakan kulit sapi, kambing, dan domba. Metode 5W1H digunakan untuk menjelaskan secara rinci apa yang harus dilakukan, mengapa harus dilakukan, dimana harus dilakukan, kapan harus dilakukan, siapa yang harus bertanggung jawab, dan bagaimana cara melakukannya dalam pengendalian resiko k3. Dengan menggunakan metode HIRARC dan 5W1H, CV. Brahma Rasid dapat meningkatkan kinerja k3 dengan meminimalisir terjadinya kecelakaan kerja, kerugian ekonomis dan non-ekonomis, serta dampak negatif terhadap lingkungan. Berdasarkan hasil penelitian, terdapat resiko bahaya yang paling dominan yaitu dengan nilai persentase tinggkat Tinggi sebesar 67% atau sebanyak 8 resiko bahaya, persentase tinggkat Extrim sebesar 21% atau sebanyak 3 resiko bahaya, persentase tingkat sedang sebesar 12% atau sebanyak 5 resiko bahaya.
Kuat Tekan dan Kuat Tarik Belah Beton SCC dengan Campuran Kawat Baja
Authors: Hermadi Madi , Zhafirah Athaya , Insan Chairul 
Published: January 2025

Inovasi eksperimen pada beton banyak dilakukan oleh para peneliti baik yang bersifat kimiawi maupun fisik dengan tujuan untuk meningkatkan mutu beton. Satu di antara pilihan bahan tambah yang dipergunakan yang bersifat fisik ialah kawat baja. Tujuan dari penambahan kawat baja bisa mengoptimalkan mutu beton baik kuat tarik belah atau tekan. Metode yang dipakai dalam riset berikut ialah eksperimental dengan menambahkan kawat baja ke dalam campuran beton SCC dengan variasi 4%, 6%, dan 8%. Adapun penambahan zat kimiawi, admixture superplasticizer bertujuan untuk memudahkan beton SCC dalam mencapai nilai slump. Berdasarkan hasil uji kuat tarik belah dan tekan beton setelah usia 28 hari didapatkan skor uji tekan yang paling maksimal adalah beton SCC dengan campuran kawat baja 8% dengan nilai kuat tekan 20,36 MPa. Sedangkan hasil uji kuat tarik belah beton SCC yang paling maksimal dalam beton campuran kawat baja 8% dengan nilai kuat tarik belah 3,36 MPa.
Chitooligosaccharides suppress airway inflammation, fibrosis, and mucus hypersecretion in a house dust mite-induced allergy model
Authors: Kim Yun-Ho , Park Chan-Ho , Kim Ju Myung , Yoon Yeo Cho 
Published: January 2025

BackgroundRespiratory allergy is a serious respiratory disorder characterized by inflammation, mucus hypersecretion, and airway tissue sclerosis. Disruption of the T helper 1 (Th1) and T helper 2 (Th2) immune systems by stimuli induced by house dust mites (HDM) and fine particulate matter leads to the secretion of various inflammatory cytokines, resulting in immune respiratory diseases characterized by airway inflammation. Chitooligosaccharides (COS) are known for their antioxidant and anti-inflammatory properties.MethodsHuman airway epithelial cells (BEAS-2B) were cultured in DMEM/F12 medium containing COS at concentrations of 25–100 µg/ml for 24 h. No intracellular toxicity was observed up to 1,000 µg/ml. Cell experiments were conducted at COS concentrations below 100 µg/ml, while animal experiments were performed at concentrations below 100 mg/kg body weight for 4 weeks. Samples of right lung tissue obtained from the experimental animals were used for gene and protein expression analysis, whereas samples of contralateral lung tissue were used for immunohistochemical analysis.ResultsCOS regulated Th1 immunity by inhibiting major cytokines, including inflammatory tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), and interleukin-6 (IL-6), in BEAS-2B cells. In the HDM-induced allergic respiratory model, COS suppressed the infiltration of inflammatory cells around the airways and inhibited the mRNA expression of Th1 immune cytokines in lung tissues, while also reducing the expression of nuclear factor kappa B (NF-κB)-related proteins. Furthermore, the results confirmed the suppression of the levels of immunoglobulin E (IgE) in the blood secreted by mast cells activated by HDM, which led to a reduction in allergic mucus hypersecretion and airway sclerosis.ConclusionIn summary, COS are thought to improve airway resistance by alleviating inflammatory allergic respiratory diseases caused by HDM and are regarded as substances that regulate the balance of the Th1 and Th2 immune systems in epithelial cells affected by mucus hypersecretion.
Metagenomic next-generation sequencing for lung cancer low respiratory tract infections diagnosis and characterizing microbiome features
Authors: Liu Yao , Yang Bohan , Qi Qi , Liu Shijie , Du Yiheng , Ye Linlin , Zhou Qiong 
Published: January 2025

BackgroundThe capability of mNGS in diagnosing suspected LRTIs and characterizing the respiratory microbiome in lung cancer patients requires further evaluation.MethodsThis study evaluated mNGS diagnostic performance and utilized background microbial sequences to characterize LRT microbiome in these patients. GSVA was used to analyze the potential functions of identified genera.ResultsBacteria were the most common pathogens (n=74) in LRTIs of lung cancer patients, and polymicrobial infections predominated compared to monomicrobial infections (p&lt;0.001). In diagnosing LRTIs in lung cancer patients, the pathogen detection rate of mNGS (83.3%, 70/84) was significantly higher than that of sputum culture (34.5%, 29/84) (p&lt;0.001). This result was consistent with that of non-lung cancer patients (p&lt;0.001). Furthermore, in the specific detection of bacteria (95.7% vs. 22.6%) and fungi (96.0% vs. 22.2%), the detection rate of mNGS was also significantly higher than that of CMTs mainly based on culture (p&lt;0.001, p&lt;0.001). However, in the detection of CMV/EBV viruses, there was no significant difference between the detection rate of mNGS and that of viral DNA quantification (p = 1.000 and 0.152). mNGS analysis revealed Prevotella, Streptococcus, Veillonella, Rothia, and Capnocytophaga as the most prevalent genera in the LRT of lung cancer patients. GSVA revealed significant correlations between these genera and tumor metabolic pathways as well as various signaling pathways including PI3K, Hippo, and p53.ConclusionmNGS showed a higher pathogen detection rate than culture-based CMTs in lung cancer patients with LRTIs, and also characterizing LRT microbiome composition and revealing potential microbial functions linked to lung carcinogenesis.
Causal relationship between immune cells and risk of heart failure: evidence from a Mendelian randomization study
Authors: Cao Wenjing , Yang Zefu , Mo Liumei , Liu Zhenhao , Wang Jiawei , Zhang Zhenhong , Wang Kui , Pan Wei 
Published: January 2025

BackgroundHeart failure (HF) is a clinical syndrome resulting from structural damage or dysfunction of the heart. Previous investigations have highlighted the critical involvement of immune cells in the progression of heart failure, with distinct roles attributed to different types of immune cells. The objective of the current research was to explore the potential connections between immune characteristics and the development of HF, as well as to ascertain the nature of the causality between these factors.MethodsTo assess the causal association of immunological profiles with HF based on publicly available genome-wide studies, we employed a two-sample Mendelian randomization technique, utilizing the inverse variance weighted (IVW) method as our primary analytical approach. In addition, we assessed heterogeneity and cross-sectional pleiotropy through sensitivity analyses.ResultsA two-sample Mendelian randomization (MR) analysis was conducted using IVW as the primary method. At a significance level of 0.001, we identified 40 immunophenotypes that have a significant causal relationship with HF. There is a significant causal relationship between these phenotypes and heart failure. These immunophenotypes, 8 of which were in B cells, 5 in cDC, 2 in T cell maturation stage, 2 in monocytes, 3 in myeloid cells, 7 in TBNK and 13 in Treg. Sensitivity analyses were conducted to validate the strength and reliability of the MR findings.ConclusionsOur study suggests that there appears to be a causal effect between multiple immune cells on heart failure. This discovery provides a new avenue for the development of therapeutic treatments for HF and a new target for drug development.
Enhancing smart home environments: a novel pattern recognition approach to ambient acoustic event detection and localization
Authors: Shabbir Ahsan , Butt Abdul Haleem , Khan Taha , Chiari Lorenzo , Almadhor Ahmad , Karovic Vincent 
Published: January 2025

IntroductionAmbient acoustic detection and localization play a vital role in identifying events and their origins from acoustic data. This study aimed to establish a comprehensive framework for classifying activities in home environments to detect emergency events and transmit emergency signals. Localization enhances the detection of the acoustic event's location, thereby improving the effectiveness of emergency services, situational awareness, and response times.MethodsAcoustic data were collected from a home environment using six strategically placed microphones in a bedroom, kitchen, restroom, and corridor. A total of 512 audio samples were recorded from 11 activities. Background noise was eliminated using a filtering technique. State-of-the-art features were extracted from the time domain, frequency domain, time frequency domain, and cepstral domain to develop efficient detection and localization frameworks. Random forest and linear discriminant analysis classifiers were employed for event detection, while the estimation signal parameters through rational-in-variance techniques (ESPRIT) algorithm was used for sound source localization.ResultsThe study achieved high detection accuracy, with random forest and linear discriminant analysis classifiers attaining 95% and 87%, respectively, for event detection. For sound source localization, the proposed framework demonstrated significant performance, with an error rate of 3.61, a mean squared error (MSE) of 14.98, and a root mean squared error (RMSE) of 3.87.DiscussionThe integration of detection and localization models facilitated the identification of emergency activities and the transmission of notifications via electronic mail. The results highlight the potential of the proposed methodology to develop a real-time emergency alert system for domestic environments.
Analysis of regional photovoltaic power generation suitability in China using multi-source data
Authors: Tong Hongju , Lv Ziyu , Jiang Junyi , Gao Xingguo , Wang Ziqing , You Chaoshuai , Xu Kun , Wu Yuhang , Pan Xin 
Published: January 2025

IntroductionSolar photovoltaic (PV) power generation, a crucial part of global renewable energy, has been advancing swiftly. However, effective promotion of PV generation relies not only on enhancing generation efficiency but also on thorough evaluations of construction suitability. This study addresses this gap by developing a comprehensive evaluation framework for assessing the suitability of photovoltaic power station locations in China.MethodsThis research developed a subjective-objective evaluation framework that integrates the Analytic Hierarchy Process (AHP) and the Criteria Importance Through Intercriteria Correlation (CRITIC) method. This framework allows for a comprehensive analysis of photovoltaic power station location suitability. Long-term meteorological data and remote sensing products were used to calculate solar radiation and photovoltaic potential data, which were then applied to evaluate the suitability of photovoltaic generation across China.ResultsThe study revealed that from 2000 to 2020, China's average annual solar radiation was 5,896.437 MJ·m−2, and the total photovoltaic generation amounted to 1.10726 × 1015 KWh. By 2020, the average score for photovoltaic construction suitability in China was 0.1058, with suitable areas comprising 51.1% of the national territory. High-suitability regions were primarily concentrated in Northwest China, including Xinjiang and Gansu, where suitability scores exceeded 7.5 and annual generation surpassed 213 KWh. In contrast, southeastern coastal and southern provinces such as Jiangsu, Zhejiang, and Fujian exhibited lower suitability scores (&lt;3.5) and annual average generation of less than 19.2262 KWh, primarily due to limited land availability and reduced solar radiation.DiscussionThe findings emphasize the critical need to prioritize photovoltaic development in Northwest China, where favorable conditions offer considerable potential for large-scale photovoltaic generation. These regions possess rich solar resources and extensive land suitability, making them optimal for photovoltaic power station construction. In contrast, southeastern coastal areas and southern provinces are less suitable for photovoltaic development due to constraints in land availability and solar radiation levels. This study provides valuable insights for strategic photovoltaic development planning in China.
Sex differences in presentation of pheochromocytoma and paraganglioma
Authors: Ali Nora Azin , Calissendorff Jan , Falhammar Henrik 
Published: January 2025

PurposeThe aim of the study was to investigate sex differences in presentation of pheochromocytomas and paragangliomas (PPGLs).MethodsThis is a retrospective cohort study including 183 patients with confirmed PPGL (females n=100, pheochromocytoma n=156) between year 2005 and 2023, attending Department of Endocrinology, Karolinska University Hospital, Stockholm. The collected data included the mode of presentation, symptoms, biochemical, genetic and histopathological test results.ResultsThe mean age at surgery/diagnosis was 54.9 ± 17.0 years. Sweating was more common in females compared to males (44% vs 23%, p=0.003), and also takotsubo syndrome (10% vs 0% p=0.002). Males, on the other hand, were more likely to experience pallor (16% vs 4%, p=0.009), and were more often diagnosed due to investigations of a suspected PPGL (31% vs 18%, p=0.039) although no difference was found in the classic triad (sweating, palpitations and headache). Left-sided pheochromocytoma was more common among males than females (48% vs 29%, p=0.009). No differences between sexes were found in biochemical, genetical or histopathological results, or presence of metastasis at diagnosis.ConclusionsThe reported symptoms by patients with PPGL were generally similar between the sexes, except for pallor and sweating. Takotsubo syndrome was more common among females. More males with PPGL were found based on suspicion than females. Further research into sex differences in various aspects of PPGL should be pursued.
Extrapolating empirical measurements of wastewater exfiltration from sanitary sewers to estimate watershed-scale fecal pollution loading in urban stormwater runoff
Authors: Steele Joshua A. , González-Fernández Adriana , Griffith John F. , Ebentier McCargar Darcy , Wallace Sierra , Schiff Kenneth C. 
Published: January 2025

Inflow and infiltration are well-known issues for sanitary sewer collection systems, but exfiltration is understudied and rarely empirically quantified. The goal of this study is to estimate the potential human fecal contribution from wastewater exfiltration from sanitary sewers to stormwater in an urban watershed with separate sanitary sewer and storm sewer systems. This study uses newly developed techniques to empirically measure sanitary sewage exfiltration, then compares these exfiltration rates to human fecal pollutant loading in stormwater runoff from multiple urban catchments without other sources of human inputs (i.e., no septic systems, no homeless encampments, no reported sanitary sewer overflows) to estimate the amount of exfiltrated sewage that reaches stormwater. The human-specific genetic marker HF183, which is highly concentrated in raw sewage, was used as a surrogate for human fecal pollution and was measured in nearly every stormwater sample collected. We extrapolated measured exfiltration to the entire 419 km2 watershed and estimated up to 4.25 × 106 L exfiltrate each day. This is 0.6% of the average daily volume of sewage treated in this sewer collection system and is similar in scale to exfiltration allowed by design standards. Based on ratios of exfiltration loading predictions vs. stormwater loading measurements, the proportion of exfiltrated human fecal load that is estimated to be transported via subsurface pathways (i.e., the subsurface transfer coefficient, STC) to stormwater in the studied catchments is 8.27 × 10−5 (95% CI: 6.30 × 10−5 to 1.37 × 10−4). Human fecal pollution loads from exfiltration via subsurface transfer during a storm event were calculated to be 1.5 × 1013 (95% CI: 1.79 × 1012 to 3.59 × 1013) HF183 gene copies per storm. This estimate is similar in scale to the measured mass loading estimates in stormwater for the studied watershed and comparable to independently-measured tracers of sewage. Future work is needed to better understand subsurface transport mechanisms of exfiltrated sewage and to test this approach, and the assumptions used, in other watersheds and sewer systems.
Associations between neutrophil percentage to albumin ratio and rheumatoid arthritis versus osteoarthritis: a comprehensive analysis utilizing the NHANES database
Authors: Ding Wenquan , La Rui , Wang Shenghao , He Zhiyuan , Jiang Dinghua , Zhang Zhigang , Ni Hao , Xu Wu , Huang Lixin , Wu Qian 
Published: January 2025

ObjectivesThe association between the neutrophil percentage to albumin ratio (NPAR) and the risk of osteoarthritis (OA) and rheumatoid arthritis (RA) remains unclear. This study aims to investigate the association between NPAR and the risk of OA and RA.MethodsThis cross-sectional study analyzed data from 92,062 American adults in the NHANES database between 1999 and 2016. Various statistical analyses were conducted to investigate the associations between NPAR and the risks of OA and RA, including multivariable logistic regression, subgroup analysis, smooth curve fitting, and threshold effect analysis.ResultsAfter screening, the final study population included 36,147 participants, with 3,881 individuals diagnosed with OA and 2,178 with RA. After adjusting for confounding factors, higher NPAR levels were associated with an increased risk of RA (OR=1.05; 95% CI: 1.03-1.07; P &lt;0.0001), but not with OA (OR=1.01; 95% CI: 0.99-1.02; P =0.755). This association was remarkably consistent across subgroups by age, sex, body mass index (BMI), alcohol consumption, hypertension, diabetes, and smoking status. Further analyses using curve fitting and threshold effect models revealed a nonlinear association between NPAR and RA, with an inflection point identified at 15.56.ConclusionHigh levels of NPAR is positively associated with the prevalence of RA. This provides us with new insights for the management and treatment of RA patients.