bluuebunny/crossref_metadata_2025_split huggingface dataset:
Incidence and risk factors of acute kidney injury in cancer patients treated with immune checkpoint inhibitors: a systematic review and meta-analysis
Authors: Liu Caihong , Wei Wei , Yang Letian , Li Jian , Yi Cheng , Pu Yajun , Yin Ting , Na Feifei , Zhang Ling , Fu Ping , Zhao Yuliang 
Published: May 2023

BackgroundThe incidence and risk factors of acute kidney injury (AKI) in patients with malignancies receiving immune checkpoint inhibitors (ICIs) are being extensively reported with their widespread application.ObjectiveThis study aimed to quantify the incidence and identify risk factors of AKI in cancer patients treated with ICIs.MethodsWe searched the electronic databases of PubMed/Medline, Web of Science, Cochrane and Embase before 1 February 2023 on the incidence and risk factors of AKI in patients receiving ICIs and registered the protocol in PROSPERO (CRD42023391939). A random-effect meta-analysis was performed to quantify the pooled incidence estimate of AKI, identify risk factors with pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) and investigate the median latency period of ICI-AKI in patients treated with ICIs. Assessment of study quality, meta-regression, and sensitivity and publication bias analyses were conducted.ResultsIn total, 27 studies consisting of 24048 participants were included in this systematic review and meta-analysis. The overall pooled incidence of AKI secondary to ICIs was 5.7% (95% CI: 3.7%-8.2%). Significant risk factors were older age (OR: 1.01, 95% CI: 1.00–1.03), preexisting chronic kidney disease (CKD) (OR: 2.90, 95% CI: 1.65–5.11), ipilimumab (OR: 2.66, 95% CI: 1.42–4.98), combination of ICIs (OR: 2.45, 95% CI: 1.40–4.31), extrarenal immune-related adverse events (irAEs) (OR: 2.34, 95% CI: 1.53-3.59), and proton pump inhibitor (PPI) (OR: 2.23, 95% CI: 1.88–2.64), nonsteroidal anti-inflammatory drug (NSAID) (OR: 2.61, 95% CI: 1.90–3.57), fluindione (OR: 6.48, 95% CI: 2.72–15.46), diuretic (OR: 1.78, 95% CI: 1.32–2.40) and angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin-receptor blockers (ARBs) (pooled OR: 1.76, 95% CI: 1.15–2.68) use. Median time from ICIs initiation to AKI was 108.07 days. Sensitivity and publication bias analyses indicated robust results for this study.ConclusionThe occurrence of AKI following ICIs was not uncommon, with an incidence of 5.7% and a median time interval of 108.07 days after ICIs initiation. Older age, preexisting chronic kidney disease (CKD), ipilimumab, combined use of ICIs, extrarenal irAEs, and PPI, NSAID, fluindione, diuretics and ACEI/ARB use are risk factors for AKI in patients receiving ICIs.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD42023391939.
Group 1 and group 2 hemagglutinin stalk antibody response according to age
Authors: Sánchez-de Prada Laura , Sanz-Muñoz Iván , Sun Weina , Palese Peter , Ortiz de Lejarazu Raúl , Eiros José María , García-Sastre Adolfo , Aydillo Teresa 
Published: May 2023

ObjectiveAntibodies elicited by seasonal influenza vaccines mainly target the head of hemagglutinin (HA). However, antibodies against the stalk domain are cross-reactive and have been proven to play a role in reducing influenza disease severity. We investigated the induction of HA stalk-specific antibodies after seasonal influenza vaccination, considering the age of the cohorts.MethodsA total of 166 individuals were recruited during the 2018 influenza vaccine campaign (IVC) and divided into groups: &lt;50 (n = 14), 50–64 (n = 34), 65–79 (n = 61), and ≥80 (n = 57) years old. Stalk-specific antibodies were quantified by ELISA at day 0 and day 28 using recombinant viruses (cH6/1 and cH14/3) containing an HA head domain (H6 or H14) from wild bird origin with a stalk domain from human H1 or H3, respectively. The geometric mean titer (GMT) and the fold rise (GMFR) were calculated, and differences were assessed using ANOVA adjusted by the false discovery rate (FDR) and the Wilcoxon tests (p &lt;0.05).ResultsAll age groups elicited some level of increase in anti-stalk antibodies after receiving the influenza vaccine, except for the ≥80-year-old cohort. Additionally, &lt;65-year-old vaccinees had higher group 1 antibody titers versus group 2 before and after vaccination. Similarly, vaccinees within the &lt;50-year-old group showed a higher increase in anti-stalk antibody titers when compared to older individuals (≥80 years old), especially for group 1 anti-stalk antibodies.ConclusionSeasonal influenza vaccines can the induction of cross-reactive anti-stalk antibodies against group 1 and group 2 HAs. However, low responses were observed in older groups, highlighting the impact of immunosenescence in adequate humoral immune responses.
The effects of microplastic on the thermal profile of sand: implications for marine turtle nesting grounds
Authors: Fuentes Mariana M. P. B. , Beckwidth Valencia , Ware Matthew 
Published: May 2023

IntroductionMicroplastics (i.e., plastic debris smaller than 5mm) found in coastal areas can impact the marine habitat used by endangered species since they may alter sand properties including temperature and permeability. Such alterations may pose a significant threat to marine turtle populations as nest productivity, sexual development, and hatchling fitness are dependent on conditions within the nest, which incubate in the sand. Given that there is a record of microplastic presence at marine turtle nesting sites, this study was conducted to explore the potential influence of microplastics on the thermal profile of sediment typical of marine turtle nesting habitat.MethodsThe experiment was conducted at the Florida State University Coastal and Marine Laboratory where the temperatures of containers of sand mixed with 5-30% v/v of either black or white microplastics were recorded from July to September 2018.ResultsThe addition of microplastics in the sand resulted in an increase in temperature – 0.017°C for each 1% v/v increase in microplastic. However, the color of the microplastic did not have a significant effect on sand temperature. Overall, the container with 30% v/v black particles had the highest mean temperature increase of 0.58°C (± 0.34°C) over the control.DiscussionThe results obtained from this study indicate that extreme concentrations of microplastics could be an issue for marine turtles as any changes in sand temperature may affect the sex ratio of hatchlings and/or alter nest productivity.
Efficacy and safety of fondaparinux in preventing venous thromboembolism in Chinese cancer patients: a single-arm, multicenter, retrospective study
Authors: Wang Lei , Su Zhong , Xie Chunying , Li Ruijun , Pan Wei , Xu Lu , Chen Fei , Cheng Gang 
Published: May 2023

ObjectiveFondaparinux is a synthetic anticoagulant for the prevention of venous thromboembolism (VTE), and its administration in Chinese cancer patients is rarely reported. This study aimed to assess the efficacy and safety of fondaparinux in preventing VTE in Chinese cancer patients.MethodsA total of 224 cancer patients who received fondaparinux treatment were reviewed in this single-arm, multicenter, retrospective study. Meanwhile, VTE, bleeding, death, and adverse events of those patients in the hospital and at 1 month after treatment (M1) were retrieved, respectively.ResultsThe in-hospital VTE rate was 0.45% and there was no (0.00%) VTE occurrence at M1. The in-hospital bleeding rate was 2.68%, among which the major bleeding rate was 2.23% and the minor bleeding rate was 0.45%. Moreover, the bleeding rate at M1 was 0.90%, among which both the major and minor bleeding rates were 0.45%. The in-hospital death rate was 0.45% and the death rate at M1 was 0.90%. Furthermore, the total rate of adverse events was 14.73%, including nausea and vomiting (3.13%), gastrointestinal reactions (2.23%), and reduced white blood cells (1.34%).ConclusionFondaparinux could effectively prevent VTE with low bleeding risk and acceptable tolerance in cancer patients.
Development and validation of an endoplasmic reticulum stress-related molecular prognostic model for breast cancer
Authors: Fan Pengyu , Wang Jiajia , Li Ruolei , Chang Kexin , Liu Liuyin , Wang Yaping , Wang Zhe , Zhang Bo , Ji Cheng , Zhang Jian , Chen Suning , Ling Rui 
Published: May 2023

BackgroundBreast cancer is the most frequently diagnosed cancer and a leading cause of cancer-related death in women. Endoplasmic reticulum stress (ERS) plays a crucial role in the pathogenesis of several malignancies. However, the prognostic value of ERS-related genes in breast cancer has not been thoroughly investigated.MethodsWe downloaded and analyzed expression profiling data for breast invasive carcinoma samples in The Cancer Genome Atlas-Breast Invasive Carcinoma (TCGA-BRCA) and identified 23 ERS-related genes differentially expressed between the normal breast tissue and primary breast tumor tissues. We constructed and validated risk models using external test datasets. We assessed the differences in sensitivity to common antitumor drugs between high- and low-scoring groups using the Genomics of Drug Sensitivity in Cancer (GDSC) database, evaluated the sensitivity of patients in high- and low-scoring groups to immunotherapy using the Tumor Immune Dysfunction and Exclusion (TIDE) algorithm, and assessed immune and stromal cell infiltration in the tumor microenvironment (TME) using the Estimation of Stromal and Immune cells in Malignant Tumor tissues using Expression data (ESTIMATE) algorithm. We also analyzed the expression of independent factors in the prognostic model using the Western-blot analysis for correlation in relation to breast cancer.ResultsUsing multivariate Cox analysis, FBXO6, PMAIP1, ERP27, and CHAC1 were identified as independent prognostic factors in patients with breast cancer. The risk score in our model was defined as the endoplasmic reticulum score (ERScore). ERScore had high predictive power for overall survival in patients with breast cancer. The high-ERScore group exhibited a worse prognosis, lower drug sensitivity, and lower immunotherapy response and immune infiltration than did the low-ERScore group. Conclusions based on ERScore were consistent with Western-blot results.ConclusionWe constructed and validated for the first time an endoplasmic reticulum stress-related molecular prognostic model for breast cancer with reliable predictive properties and good sensitivity, as an important addition to the prognostic prediction model for breast cancer.
Effects of alkalization therapy on hepatocellular carcinoma: a retrospective study
Authors: Isowa Masahide , Hamaguchi Reo , Narui Ryoko , Morikawa Hiromasa , Wada Hiromi 
Published: May 2023

BackgroundIn hepatocellular carcinoma (HCC) patients, is difficult to prevent recurrence even when remission is achieved. In addition, even with the advent of drugs that are effective for the treatment of HCC, a satisfactory extension of patient survival has not been achieved. To overcome this situation, we hypothesized that the combination of alkalization therapy with standard treatments will improve the prognosis of HCC. We here report the clinical results of HCC patients treated with alkalization therapy at our clinic.Patients and methodsPatients with HCC treated at Karasuma Wada Clinic (in Kyoto, Japan), from January 1, 2013, to December 31, 2020 were analyzed. Overall survival (OS) from both the time of diagnosis and the start of alkalization therapy for each patient was compared. The mean urine pH was also calculated as a surrogate marker of tumor microenvironment pH, and OS from the start of alkalization therapy was compared between patients with a mean urine pH of ≥ 7.0 and those with a mean urine pH of &lt; 7.0.ResultsTwenty-three men and six women were included in the analysis, with a mean age at diagnosis of 64.1 years (range: 37–87 years). Seven of the 29 patients had extrahepatic metastases. Patients were divided into two groups according to their mean urine pH after the initiation of alkalization therapy: 12 of the 29 patients had a mean urine pH of ≥ 7.0, and 17 had a mean urine pH of &lt; 7.0. The median OS from diagnosis was 95.6 months (95% confidence interval [CI] = 24.7-not reached), and from the start of alkalization therapy was 42.3 months (95% CI = 8.93-not reached). The median OS from the start of alkalization therapy in patients with a urine pH of ≥ 7.0 was not reached (n = 12, 95% CI = 3.0-not reached), which was significantly longer than that in patients with a pH of &lt; 7.0 (15.4 months, n = 17, 95% CI = 5.8-not reached, p &lt; 0.05).ConclusionsThe addition of alkalization therapy to standard therapies may be associated with more favorable outcomes in HCC patients with increased urine pH after alkalization therapy.
Development and verification of prognostic nomogram for ampullary carcinoma based on the SEER database
Authors: Tang Nan , Chen Zeng-Yin , Yang Zhen , Shang He-Zhen , Shi Guang-Jun 
Published: May 2023

BackgroundAmpullary carcinoma (AC) is a rare cancer of the digestive system that occurs in the ampulla at the junction of the bile duct and pancreatic duct. However, there is a lack of predictive models for overall survival (OS) and disease -specific survival (DSS) in AC. This study aimed to develop a prognostic nomogram for patients with AC using data from the Surveillance, Epidemiology, and End Results Program (SEER) database.MethodsData from 891 patients between 2004 and 2019 were downloaded and extracted from the SEER database. They were randomly divided into the development group (70%) and the verification group (30%), and then univariate and multivariate Cox proportional hazards regression, respectively, was used to explore the possible risk factors of AC. The factors significantly related to OS and DSS were used to establish the nomogram, which was assessed via the concordance index (C-index), and calibration curve. An internal validation was conducted to test the accuracy and effectiveness of the nomogram. Kaplan–Meier calculation was used to predict the further OS and DSS status of these patients.ResultsOn multivariate Cox proportional hazards regression, the independent prognostic risk factors associated with OS were age, surgery, chemotherapy, regional node positive (RNP),extension range and distant metastasis with a moderate C-index of 0.731 (95% confidence interval (CI): 0.719-0.744) and 0.766 (95% CI: 0.747-0.785) in the development and verification groups, respectively. While, marital status, surgery, chemotherapy, regional node positive (RNP),extension range and distant metastasis were significantly linked to AC patients’ DSS, which have a better C-index of 0.756 (95% confidence interval (CI): 0.741-0.770) and 0.781 (95% CI: 0.757-0.805) in the development and verification groups. Both the survival calibration curves of 3- and 5-year OS and DSS brought out a high consistency.ConclusionOur study yielded a satisfactory nomogram showing the survival of AC patients, which may help clinicians to assess the situation of AC patients and implement further treatment.
Comparing Two Methods of Leaf Area Index Estimation for Rice (Oryza sativa L.) Using In-Field Spectroradiometric Measurements and Multispectral Satellite Images
Authors: Serrano Reyes Jorge , Jiménez José Ulises , Quirós-McIntire Evelyn Itzel , Sanchez-Galan Javier E. , Fábrega José R. 
Published: May 2023

This work presents a remote sensing application to estimate the leaf area index (LAI) in two rice (Oryza sativa L.) varieties (IDIAP 52-05 and IDIAP FL 137-11), as a proxy for crop performance. In-field, homogeneous spectroradiometric measurements (350–1050 nm) were carried in two campaigns (June–November 2017 and January–March 2018), on a private farm, TESKO, located in Juan Hombrón, Coclé Province, Panama. The spectral fingerprint of IDIAP 52-05 plants was collected in four dates (47, 67, 82 and 116 days after sowing), according to known phenological stages of rice plant growth. Moreover, true LAI or green leaf area was measured from representative plants and compared to LAI calculated from normalized PlanetScope multi-spectral satellite images (selected according to dates close to the in-field collection). Two distinct estimation models were used to establish the relationships of measured LAI and two vegetational spectral indices (NDVI and MTVI2). The results show that the MTVI2 based model has a slightly higher predictive ability of true LAI (R2 = 0.92, RMSE = 2.20), than the NDVI model. Furthermore, the satellite images collected were corrected and satellite LAI was contrasted with true LAI, achieving in average 18% for Model 2 for MTVI2, with the NDVI (Model 1) corrected model having a smaller error around 13%. This work provides an important advance in precision agriculture, specifically in the monitoring of total crop growth via LAI for rice crops in the Republic of Panama.
Genome-Wide Identification of NAC Gene Family and Expression Analysis under Abiotic Stresses in Avena sativa
Authors: Ling Lei , Li Mingjing , Chen Naiyu , Xie Xinying , Han Zihui , Ren Guoling , Yin Yajie , Jiang Huixin 
Published: May 2023

In this study, a total of 177 NAC members were identified in Avena sativa, located on 21 chromosomes. Phylogenetic analysis showed that AsNAC proteins could be divided into seven subfamilies (I–VII), and that proteins in the same subfamily have similar protein motifs. Gene structure analysis found that NAC introns ranged from 1 to 17. Cis-element analysis of the promoter indicated that the gene family may have stress-related elements and growth regulation elements. Through qRT-PCR experiments, we speculated that AsNACs genes can respond to abiotic stresses such as cold, freezing, salt, and saline alkali. This study provides a theoretical basis for further exploring the function of the NAC gene family in A. sativa.
Integrating the neural network into the stochastic DEA model
Authors: Sihotang Hengki Tamando , Lavemaau J. , Riandari Fristi , Panjaitan Firta Sari , Gorat Sonya Enjelina , Batubara Juliana 
Published: May 2023

The novelty of integrating neural networks (NNs) into the stochastic DEA model lies in the ability to address some of the limitations of traditional DEA models and improve the accuracy and efficiency of efficiency measurement and prediction. By integrating NNs, the stochastic DEA model can capture the complex and non-linear relationships between the input and output variables of the decision-making units (DMUs) and handle uncertainty in the input and output data. This is achieved by using the NN to estimate the distribution of the input and output data and then using the stochastic DEA model to calculate the efficiency scores based on these estimated distributions. Furthermore, the integration of NNs into the stochastic DEA model allows for the development of hybrid models that combine the strengths of both techniques. For example, some researchers have proposed using genetic algorithms or other optimization techniques to optimize the input and output weights of the stochastic DEA model, which are then used to calculate the efficiency scores based on the estimated distributions from the NN. This results in a more accurate and efficient efficiency measurement and prediction model. Another novelty of integrating NNs into the stochastic DEA model is the potential for enhancing the interpretability of the model. While NNs are often considered as black-box models, several methods have been proposed to enhance the interpretability of NN-based stochastic DEA models. These methods include using feature importance analysis or visualization techniques to identify the most important input and output variables that contribute to the efficiency scores. Overall, the integration of NNs into the stochastic DEA model represents a novel approach to addressing the limitations of traditional DEA models and improving the accuracy and efficiency of efficiency measurement and prediction under uncertainty. The development of hybrid models and methods to enhance interpretability further add to the novelty and potential impact of this research.
Pengaruh Activity Daily Living (ADL ) Dan Kegiatan Rutin Lansia Di Panti Werda Terhadap Tingkat Depresi Pada Lansia Di Panti Werda Dinas Sosial Propinsi Jawa Tengah
Authors: Ismiriyam Fiktina Vifri , Wulansari Wulansari 
Published: May 2023

ABSTRACTÂ The routine activities of the orphanage are routine activities carried out at the nursing home in accordance with the procedures determined by the social service for the management of the nursing home in order to meet the physical and psychosocial needs of the elderly and increase the ability of Activity Daily Living (ADL) in the elderly. The elderly who live in social institutions have a higher risk of developing or experiencing depression than the elderly who live with their family. The activities of this orphanage focus on meeting individual needs from the biopsychosocial and spiritual aspects. This study aims to see whether or not there is an effect of daily activities in the nursing home on the level of depression in the elderly. The research design was a pre-experimental one group pretest-posttest. The study consisted of 28 research respondents who were taken by purposive sampling technique. Depression levels were measured by the Geriatric Depression Scale (GDS). The respondents' level of depression was mild to moderate. The values of the GDS values before and after, with p value = 0.053 (p> 0.05). The results of this study indicate that there is no significant effect of daily routine activities on the level of depression in the nursing home, but this routine activity maintains the stability of depression levels in the elderly. Panti can find additional special interventions to treat depression in the elderly.Â Keywords: Â routine daily activities, GDS, depression in the elderly
L' ACCUEIL DE LA QUESTION INITIALE EN RECHERCHE
Authors: Rougerie Corinne , Denoyel Noel 
Published: May 2023

La fonction d’accueil des stagiaires en formation continue à l’université est analysée comme élément facilitateur d’une mise en dialogue des savoirs, en master professionnel. A partir d’un dispositif pédagogique portant sur l’émergence et la construction de la question initiale de recherche, nous observerons l’entrée en production de savoirs chez les stagiaires au sein d’un parcours de master dont la particularité repose sur l’ingénierie d’accompagnement. La fonction d’accueil y est conçue comme un espace d’entrée en relation entre le stagiaire et les savoirs. Elle permet une co-construction d’une pensée sur l’action d’accompagner individuelle et collective, à partir du parcours professionnel. Cette fonctionnalité de l’accueil génère une mobilisation de savoirs par un art de la controverse et une ingéniosité recueillie de l’expérience. Elle rend possible un retour réflexif sur l’accompagnement tant par le stagiaire que par l’enseignant-chercheur. L’analyse des implications des acteurs en présence participe à dévoiler une manière d’accueillir l’expérience en formation à l’université.
Al0.35Ga0.65As/InGaP heterojunction solar cell based on temperature-graded growth
Authors: Li Gan , Sodabanlu Hassanet , Watanabe Kentaroh , Sugiyama Masakazu , Nakano Yoshiaki 
Published: May 2023

Abstract
The p-Al0.35Ga0.65As/n-InGaP heterojunction solar cells are promising competitors compared with conventional InGaP or AlGaAs solar cells as the heterogeneous combination can overcome the demerits of each material. However, InGaP has an optimized growth temperature much lower than that of AlGaAs in metal-organic vapor phase epitaxy (MOVPE) growth. Therefore, a challenge arises from oxygen contamination at the hetero-interface during temperature adjustment for obtaining MOVPE-grown high-quality p-AlGaAs/n-InGaP heterojunction. Here we report that a temperature-graded layer (TGL) of AlGaAs can solve the issue of growth temperature mismatch, and significantly improve the voltage performance of AlGaAs/InGaP solar cells. Absolute electroluminescence measurement and atomic force microscopy confirmed a smooth interface with less non-radiative recombination after TGL was applied. The temperature-graded growth is verified able to improve the AlGaAs/InGaP interface quality and provides a scalable method for AlGaAs-based heterogeneous growth.