bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining intrafamilial communication of colorectal cancer risk status to family members and kin responses to colonoscopy: a qualitative study
Authors: McGarragle Kaitlin M. , Hare Crystal , Holter Spring , Facey Dorian Anglin , McShane Kelly , Gallinger Steven , Hart Tae L. 
Published: August 2023

<p><strong>Background</strong></p>
<p>First-degree relatives (FDRs) of probands with colorectal cancer (CRC) may be at increased risk of CRC and require colonoscopy. Proband disclosure about this risk and need for colonoscopy is essential for FDRs to take appropriate action. Low colonoscopy rates are reported among FDRs and little is known about the proband disclosure process. A better understanding of the barriers surrounding colonoscopy and disclosure is needed.</p>
<p><strong>Methods</strong></p>
<p>CRC probands (<em>n</em> = 16) and FDRs (<em>n</em> = 9), recruited from a Canadian CRC Consortium, completed interviews to determine barriers to disclosure and colonoscopy, respectively. Interviews were analyzed using thematic analysis and participants’ motivation to disclose to FDRs or undertake colonoscopy was categorized into Stages of Change (i.e., Precontemplation, Contemplation, Preparation, Action, or Maintenance) using the transtheoretical model.</p>
<p><strong>Results</strong></p>
<p>25% of probands had not disclosed to any first-degree kin and were categorized in the Precontemplation or Contemplation Stage of Change. Barriers to disclosure included lack of information, negative expectations about familial reaction, assuming FDRs were aware of risk or already being screened, dysfunctional family dynamics, and cultural barriers. 75% of FDRs were categorized in the Precontemplation or Contemplation Stage of Change. Barriers included negative perceptions about colonoscopy, health-care provider related factors, practical concerns, and lack of information about CRC, risk, and colonoscopy.</p>
<p><strong>Conclusions</strong></p>
<p>In the absence of barriers such as cost and accessibility, this Canadian sample still reported several challenges to disclosure and colonoscopy adherence. Future research should explore interventions such as motivational interviewing to improve proband disclosure and to increase FDR adherence to colonoscopy.</p>
Pengaruh Waktu Pemuasaan Terhadap Kinerja Pertumbuhan Dan Kelangsungan Hidup Benih Ikan Koi (Cyprinus carpio) Yang Dipelihara Pada Suhu Optimal
Authors: Tanjung Andini Fadila , Putriningtias Andika , Haser Teuku Fadlon , Febri Suri Purnama , Harahap Antoni , Darsiani Darsiani 
Published: August 2023

Ikan koi merupakan jenis ikan hias yang warna dan keunikan bentuk tubuhnya menjadi salah satu daya tarik pada ikan koi. Penelitian ini bertujuan untuk mengetahui dan mengevaluasi pengaruh lama pemuasaan terhadap pertumbuhan dan kelangsungan hidup ikan koi (Cyprinus carpio) yang dipuasakan secara periodik pada suhu optimal. Metode yang digunakan pada penelitian ini adalah metode eksperimen RAL dengan 4 perlakuan 3 ulangan. Adapun perlakuan pemuasaan yang digunakan adalah perlakuan tanpa pemuasaan sebagai (kontrol), perlakuan 1 hari puasa dan 1 hari diberi pakan, perlakuan 1 hari puasa dan 2 hari diberi pakan, dan perlakuan 1 hari puasa dan 3 hari diberi pakan. Setiap perlakuan menggunakan benih berukuran 4-5 cm. Parameter yang diamati yaitu pertumbuhan berat mutlak, pertumbuhan panjang mutlak, laju pertumbuhan harian, kelangsungan hidup dan rasio konversi pakan. Hasil penelitian berdasarkan analisis sidik ragam diperoleh hasil bahwa pemuasaan pada ikan koi berpengaruh nyata (P<0,05) terhadap pertumbuhan berat mutlak dan laju pertumbuhan harian dan tidak berpengaruh nyata terhadap pertumbuhan panjang mutlak, kelangsungan hidup dan rasio konversi pakan. Perlakuan terbaik pemuasaan secara periodik yaitu pada perlakuan P2 = 1 hari puasa 1 hari diberi pakan.
PENGARUH KONSENTRASI PUPUK HAYATI PGPR DAN DOSIS BIOURIN SAPI TERHADAP PERTUMBUHAN DAN PRODUKSI KEDELAI (Glycine max L.)
Authors: Mustari Al , Bahri Syamsul , Juanda Boy Riza 
Published: August 2023

Penelitian ini dilakukan untuk mengetahui pengaruh konsentrasi pupuk hayati PGPR dan dosis biourin sapi terhadap pertumbuhan dan produksi kedelai. Serta mengetahui interaksi antara keduanya terhadap pertumbuhan dan produksi tanaman kedelai. Penelitian ini dilaksanakan di Kebun Percobaan Fakultas Pertanian Universitas Samudra, yang berlangsung selama empat bulan yang di mulai dari bulan Juni sampai dengan bulan September tahun 2022. Penelitian ini menggunakan Rancangan Acak Kelompok (RAK), pola faktorial yang terdiri dari 2 faktor yaitu Faktor konsentrasi pupuk hayati PGPR yang terdiri dari 4 , yaitu:. P0: 0 mℓ/L (Kontrol), P₁: 10 mℓ/L air, P2: 12,5 mℓ/L air dan P3: 15 mℓ/L air. Faktor dosis biourin sapi yang terdiri dari 4 taraf yaitu: U0: 0 mℓ/L air (Kontrol), U₁: 50 mℓ/L air, U₂: 100 mℓ/L air, dan U3: 150 mℓ/L air. Parameter yang diamati dalam penelitian ini yaitu tinggi tanaman umur (18, 36, 54 HST), jumlah cabang produktif, produksi pertanaman sampel, berat biji per Plot, berat 100 biji kering, dan rata-rata potensi hasil (ton/ha).
Determinantes sociales de la salud y riesgo familiar en población de dos municipios de Caldas
Authors: Betancurth Loaiza Diana Paola , Vélez Álvarez Consuelo , Gallego Osorio Carolina 
Published: August 2023

Introducción: los determinantes sociales de la salud son condiciones en las que las personas se desarrollan y tienen impacto sobre las familias. Objetivo: determinar la relación de los determinantes sociales de la salud y el riesgo familiar en los municipios de Neira y Villamaría del Departamento de Caldas. Métodos: estudio descriptivo y correlacional. La población fue 314 fichas familiares. Resultados: el estado de la vivienda fue buena, estrato socioeconómico 2, casa o apartamento en arriendo; en mayor porcentaje eran hombres entre 29 y 59 años, afiliados al régimen contributivo, no trabajaban y de bajo nivel educativo secundaria incompleta y completa. Los determinantes sociales de la salud que se asociaron p<0,05 con el riesgo familiar fueron: barrio, escolaridad, trabajo, tipo, condición de la vivienda y el hacinamiento. Conclusiones: Existe relación entre los determinantes sociales de la salud y el riesgo familiar. Se sugiere priorizar determinantes de acuerdo con situaciones concretas de los sujetos.
Palabras clave: determinantes sociales de la salud, familia, riesgo, salud pública, condiciones sociales, desigualdades en salud
BRANDING PERPUSTAKAAN KEBUN RAYA BOGOR SEBAGAI STRATEGI MARKETING UNTUK LEBIH DIKENAL
Authors: Munazar Rina , Budiman Lukman 
Published: August 2023

The superiority or uniqueness of the Bogor Botanical Gardens Library is that there is a complete collection of books about botanical gardens that other libraries do not have. The Botanical Gardens Library also stores antiquariat books from the 18th century. These books are very useful for tracing the history of the Bogor Botanical Gardens which is currently being submitted to UNESCO as a World Heritage Site (WHS). This can make the Bogor Botanical Gardens Library also known as a world library brand. The current brand is needed not only in trade competition, the library must also be able to put forward its advantages and uniqueness.The term branding comes from the word brand which means brand. So, what is branding that companies do in running their business? Branding is an image so that a product can attract and stick in the minds of consumers. You could say that branding can be interpreted as a form of company communication with targeted consumers.The main purpose of a branding is to introduce the company's brand. In addition, branding also aims to build a positive image and reputation of the company so that it is always good in the eyes of consumers. The company's image can build consumer confidence in the company.Branding in the Bogor Botanical Gardens Library aims to be better known in the user community. Why? Because in the current era of information disclosure. The superiority or uniqueness of a library makes the library acceptable in the wider community and known in the world.
Case Report: Clinical analysis of a cluster outbreak of chlamydia psittaci pneumonia
Authors: Wu Yinxia , Xu Xuemei , Liu Yun , Jiang Xiangwei , Wu Hongjing , Yang Jie , He Limei 
Published: August 2023

ObjectiveTo explore the clinical characteristics and prognosis of clustered cases of psittacosis pneumonia.MethodWe retrospectively analyzed the clinical data of a cluster outbreak of psittacosis pneumonia. The analysis included epidemiological data, clinical symptoms, laboratory results, and prognosis. The diagnosis was made using mNGS and nested PCR technology.ResultOf the four cases, two had direct contact with diseased poultry while the other two did not. All cases presented with more than 39.5 °C fever and chills. Additionally, significant increases in C-reactive protein, ferritin, creatine kinase, and lactate dehydrogenase were observed in all cases, while absolute lymphocyte count decreased. Case 2 also had increased calcitonin levels. Acute respiratory failure occurred during the treatment of case 1 and case 2, leading to tracheal intubation and ventilator-assisted ventilation. Unfortunately, case 2 passed away due to sepsis and multiple organ dysfunction, while the other cases had a positive prognosis.ConclusionmNGS facilitated the early diagnosis of psittacosis pneumonia. It is important to note that there is still a substantial risk of human-to-human transmission in psittacosis pneumonia. Absolute lymphocyte count and calcitonin levels can predict the severity and prognosis of the disease.
Single-cell RNA-seq analysis reveals that immune cells induce human nucleus pulposus ossification and degeneration
Authors: Guo Song , Yan Meijun , Li Xinhua , Zhang Shuya , Liu Zhong , Li Kewei , Liu Pengcheng , Liu Yanbin , Sun Guixin , Fu Qiang 
Published: August 2023

Background and aimsDetermining the transcriptomes and molecular mechanism underlying human degenerative nucleus pulposus (NP) is of critical importance for treating intervertebral disc degeneration (IDD). Here, we aimed to elucidate the detailed molecular mechanism of NP ossification and IDD using single-cell RNA sequencing.MethodsSingle-cell RNA-seq and bioinformatic analysis were performed to identify NP cell populations with gene signatures, biological processes and pathways, and subpopulation analysis, RNA velocity analysis, and cell-to-cell communication analysis were performed in four IDD patients. We also verified the effects of immune cells on NP ossification using cultured NP cells and a well-established rat IDD model.ResultsWe identified five cell populations with gene expression profiles in degenerative NP at single-cell resolution. GO database analysis showed that degenerative NP-associated genes were mainly enriched in extracellular matrix organization, immune response, and ossification. Gene set enrichment analysis showed that rheumatoid arthritis signaling, antigen processing and presentation signaling were activated in the blood cell cluster. We revealed that stromal cells, which are progenitor cells, differentiated toward an ossification phenotype and delineated interactions between immune cells (macrophages and T cells) and stromal cells. Immune factors such as TNF-α, CD74 and CCL-3 promoted the differentiation of stromal cells toward an ossification phenotype in vitro. Blocking TNF-α with a specific inhibitor successfully reversed NP ossification and modified NP morphology in vivo.ConclusionOur study revealed an increase in macrophages and T cells in degenerative NP, which induced stromal cell differentiation toward an ossification phenotype, and contributed to the identification of a novel therapeutic target to delay IDD.
Dupilumab improve acquired reactive perforating collagenosis characterized by type 2 inflammation
Authors: Liu Ben , Wu Yibei , Wu Xiaoyan , Zhong Xinyu , Xue Ruzeng , Zhang Zhenying 
Published: August 2023

BackgroundAcquired reactive perforating collagenosis (ARPC) is a clinically challenging disease with an unclear pathogenesis.ObjectiveTo evaluate the efficacy and safety of dupilumab for the treatment of ARPC, and analyze the expression of type 2 inflammation-related molecules in ARPC lesions.MethodsThis retrospective cohort study included 20 patients with ARPC; 10 received dupilumab and 10 received conventional therapy. The efficacy and safety of dupilumab were evaluated at 12 weeks. Immunohistochemical and immunofluorescence analyses of T- and B-cell markers, and type 2 inflammation-related cytokines, were performed on skin samples from ARPC patients, atopic dermatitis (AD) patients, and healthy controls.ResultsSignificantly more patients showed improvements in the Investigator Global Assessment score (100% vs. 0%; p &lt; 0.0001) and itching (90%/8.33%, P =.001) in the dupilumab group compared to the conventional group at 12 weeks. There were no adverse effects in the dupilumab group. The ARPC lesions showed enhanced dermal infiltration of CD3+ T-cells, with a predominance of Th2 cells, similar to AD lesions. IL-4 and IL-13 were co-localized with GATA3 in ARPC lesions.ConclusionDupilumab improved ARPC charaterized with type 2 inflammation.
Estimation of subsurface salinity and analysis of Changjiang diluted water volume in the East China Sea
Authors: Kim So-Hyun , Shin Jisun , Kim Dae-Won , Jo Young-Heon 
Published: August 2023

In the East China Sea (ECS), the sea surface salinity (SSS) changes as the Changjiang Diluted Water (CDW) propagates toward the Korean Peninsula via the ocean current and winds every summer annually. Although the vertical stratifications resulting from the CDW volume changes are important, it has not been analyzed yet. Therefore, in this study, we aimed to estimate the salinity at a depth of 10 m (S10m) using convolutional neural network (CNN) model based on multi-satellite measurements and analyze CDW volume variations. The main CDW mass in the ECS reaches approximately 10 m in depth; thus, the CNN model was developed using sea surface physical factors as input and in situ S10m obtained from the National Institute of Fisheries Science (NIFS) as ground truth data from 2015 to 2021. The CNN tests result showed a determination coefficient (R2) of 0.81, root mean square error (RMSE) of 0.63 psu, and relative RMSE (RRMSE) of 2.00%. Unlike the sea surface distribution, the spatial distribution of S10m showed that the CDW was predominantly present in the center of the ECS. From SHapley Additive exPlanations (SHAP) analysis, SSS exhibited a strong positive relationship with S10m, and the sea level anomaly showed a strong negative relationship. After calculating the volume of the CDW from the surface to a depth of 10 m, the maximum (3.01×1012 m3) and minimum volumes (1.31×1012 m3) were represented in 2016 and 2018, respectively. Finally, the warming effect induced by the CDW volume changes was analyzed in two different years: 2016 and 2018. Specifically, in 2016, the sea surface temperature increased by more than 4.79 °C in the Ieodo location, while in 2018, it increased by 2.19 °C. Thus, our findings can obtain information about the volume variation of the CDW and its effect on the ECS in summer.
Prevalence and risk factors of malnutrition in patients with pulmonary tuberculosis: a systematic review and meta-analysis
Authors: Li Ai , Yuan Su-yun , Li Quan-guo , Li Jin-xing , Yin Xiang-yu , Liu Na-na 
Published: August 2023

BackgroundMalnutrition is prevalent in patients with pulmonary tuberculosis (PTB) and is associated with a poor prognosis.ObjectiveThis study aims to assess the prevalence and risk factors of malnutrition in patients with PTB.MethodsStudies related to the prevalence and risk factors of malnutrition in patients with PTB were searched through PubMed, Embase, Web of Science, and Cochrane Library databases from January 1990 to August 2022, and two researchers screened the literature, evaluated the quality, and extracted data independently. A random-effects model was used to pool the effect sizes and 95% confidence intervals. Subgroup analysis, meta-regression analysis, and sensitivity analysis were further performed to identify sources of heterogeneity and evaluate the stability of the results. Publication bias was assessed by Doi plot, Luis Furuya-Kanamori (LFK) asymmetry index, funnel plot, and Egger's tests.ResultsA total of 53 studies involving 48, 598 participants were identified in this study. The prevalence of malnutrition was 48.0% (95% CI, 40.9–55.2%). Subgroup analysis revealed that malnutrition was more common among male gender (52.3%), bacterial positivity (55.9%), family size over 4 (54.5%), drug resistance (44.1%), residing in rural areas (51.2%), HIV infection (51.5%), Asian (51.5%), and African (54.5%) background. The prevalence of mild, moderate, and severe malnutrition was 21.4%, 14.0%, and 29.4%, respectively. Bacterial positivity (OR = 2.08, 95% CI 1.26–3.41), low income (OR = 1.44, 95% CI 1.11–1.86), and residing in rural areas (OR = 1.51, 95% CI 1.20–1.89) were risk factors of malnutrition in patients with PTB. However, male (OR = 1.04, 95% CI 0.85–1.26) and drinking (OR = 1.17, 95% CI 0.81–1.69) were not risk factors for malnutrition in patients with PTB. Due to the instability of sensitivity analysis, HIV infection, age, family size, smoking, and pulmonary cavity need to be reevaluated. Meta-regression suggested that sample size was a source of heterogeneity of prevalence. The Doi plot and LFK asymmetry index (LFK = 3.87) indicated the presence of publication bias for prevalence, and the funnel plot and Egger's test showed no publication bias for risk factors.ConclusionThis meta-analysis indicated that malnutrition was prevalent in patients with PTB, and bacterial positivity, low income, and those residing in rural areas were risk factors for malnutrition. Therefore, clinical workers should pay attention to screening the nutritional status of patients with PTB and identifying the risk factors to reduce the incidence of malnutrition and provide nutritional interventions early to improve the prognosis in patients with PTB.
Neutrophil extracellular traps−related signature predicts the prognosis and immune infiltration in gastric cancer
Authors: Li Mingzhe , Zhao Zidan , Mak Tsz Kin , Wang Xiaoqun , Chen Jingyao , Ren Hui , Yu Zhiwei , Zhang Changhua 
Published: August 2023

IntroductionGastric cancer (GC) is the fifth most prevalent cancer globally, with the third highest case fatality rate. Neutrophil extracellular traps (NETs) are a reticulated structure of DNA, histones, and antimicrobial peptides produced by active neutrophils that trap pathogens. Even though NETs are associated with poorer recurrence-free survival (RFS) and overall survival (OS), the specifics of this interaction between NETs and cancer cells are yet unknown.MethodsThe keywords “neutrophil extracellular traps and gastric cancer” were used in the GEO database for retrieval, and the GSE188741 dataset was selected to obtain the NETs-related gene. 27 NETs-related genes were screened by univariate Cox regression analysis (p &lt; 0.05). 27 NETs-related genes were employed to identify and categorize NETs-subgroups of GC patients under the Consensus clustering analysis. 808 GC patients in TCGA-STAD combined with GES84437 were randomly divided into a training group (n = 403) and a test group (n = 403) at a ratio of 1:1 to validate the NETs-related signature.ResultsBased on Multivariate Cox regression and LASSO regression analysis to develop a NETs-related prognosis model. We developed a very specific nomogram to improve the NETs-clinical score’s usefulness. Similarly, we also performed a great result in pan-cancer study with NETs-score. Low NETs scores were linked to higher MSI-H (microsatellite instability-high), mutation load, and immune activity. The cancer stem cell (CSC) index and chemotherapeutic treatment sensitivity were also connected to the NET score. Our comprehensive analysis of NETs in GC suggests that NETs have a role in the tumor microenvironment, clinicopathological features, and prognosis.DiscussionThe NETs-score risk model provides a basis for better prognosis and therapy outcomes in GC patients.
Geometric morphometrics and machine learning from three-dimensional facial scans for difficult mask ventilation prediction
Authors: Pei Bei , Jin Chenyu , Cao Shuang , Ji Ningning , Xia Ming , Jiang Hong 
Published: August 2023

BackgroundUnanticipated difficult mask ventilation (DMV) is a potentially life-threatening event in anesthesia. Nevertheless, predicting DMV currently remains a challenge. This study aimed to verify whether three dimensional (3D) facial scans could predict DMV in patients scheduled for general anesthesia.MethodsThe 3D facial scans were taken on 669 adult patients scheduled for elective surgery under general anesthesia. Clinical variables currently used as predictors of DMV were also collected. The DMV was defined as the inability to provide adequate and stable ventilation. Spatially dense landmarks were digitized on 3D scans to describe sufficient details for facial features and then processed by 3D geometric morphometrics. Ten different machine learning (ML) algorithms, varying from simple to more advanced, were introduced. The performance of ML models for DMV prediction was compared with that of the DIFFMASK score. The area under the receiver operating characteristic curves (AUC) with its 95% confidence interval (95% CI) as well as the specificity and sensitivity were used to evaluate the predictive value of the model.ResultsThe incidence of DMV was 35/669 (5.23%). The logistic regression (LR) model performed best among the 10 ML models. The AUC of the LR model was 0.825 (95% CI, 0.765–0.885). The sensitivity and specificity of the model were 0.829 (95% CI, 0.629–0.914) and 0.733 (95% CI, 0.532–0.819), respectively. The LR model demonstrated better predictive performance than the DIFFMASK score, which obtained an AUC of 0.785 (95% CI, 0.710–0.860) and a sensitivity of 0.686 (95% CI, 0.578–0.847). Notably, we identified a significant morphological difference in the mandibular region between the DMV group and the easy mask ventilation group.ConclusionOur study indicated a distinct morphological difference in the mandibular region between the DMV group and the easy mask ventilation group. 3D geometric morphometrics with ML could be a rapid, efficient, and non-invasive tool for DMV prediction to improve anesthesia safety.