bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGARUH KAPABILITAS PERSONAL, PEMANFAATAN TEKNOLOGI, DAN DUKUNGAN MANAJEMEN PUNCAK TERHADAP KINERJA SISTEM INFORMASI AKUNTANSI
Authors: Ratna Dewi Dewa Ayu 
Published: February 2023

Information technology is a necessity that can be used to increase the speed, flexibility, integration and accuracy of the resulting information. Accounting information systems provide opportunities for business people to increase efficiency and effectiveness in decision making so as to allow companies to gain a competitive advantage. The use of computers in some cooperatives is still ineffective which is driven by the factor of the lack of ability of employees in the processing of the systems used. This problem may be an obstacle to the performance of the accounting information system for Savings and Loans Cooperatives in Gianyar Regency.
This study aims to determine the effect of personal capabilities, technology use and top management support on the performance of the accounting information system in savings and loan cooperatives in Gianyar regency. The research method used is quantitative research methods with primary data obtained from questionnaire data which is measured using a Likert scale. This research was conducted at the Savings and Loans Cooperative in Gianyar Regency. The population in this study were 155 KSPs in Gianyar Regency. The sample used in this study amounted to 28 KSP which was determined by the nonprobability sampling method, namely purposive sampling which uses certain considerations. The data testing technique uses multiple linear regression analysis using the SPSS version 21 for windows program.
Based on the results of the research by distributing questionnaires to 93 respondents, it can be concluded that the factors of personal capability, technology utilization, and top management support have a positive and significant effect on AIS performance. This shows that if AIS users want to achieve satisfaction with the system used, they must pay attention to the factors that influence it.
PENGARUH PENDAPATAN ASLI DAERAH DAN DANA BAGI HASIL TERHADAP BELANJA DAERAH PEMERINTAH KABUPATEN GIANYAR
Authors: Nirmala Putu Citta , Bayu Putra Cokorda Gde 
Published: February 2023

This research was conducted at Gianyar Regency Goverment. The phenomenon that occurs is the ineffective use of Original Local (PAD) and Profit Sharing Funds (DBH) and Local Expenditure (BD) that are greater than Regional Revenues. The purpose of this study is to determine the effect of PAD and DBH against Local Expenditure in Gianyar Regency Government.. The method use in this research is the method and deskriptif verifikatif with quantitative approach. The research was conducted in 15 periods in the 2006 - 2020 fiscal year. Data analysis testing techniques in this study were assisted by IBM Statistics 23, carried out through the following stages: (1)classical assumption test, (2)multiple linear regression analysis, (3)coefficient of determination (4)and hypothesis testing with t test and f test. The result of this study found that Original Local Revenue (PAD) of the Gianyar Regency Government has a positive and statistically significant influence on the Regional Expenditure (BD) of the Gianyar Regency Government, while Profit Sharng Fund (DBH) of the Gianyar Regency Government has a positive but not statistically significant effect on the Local Expenditure (BD) of the Gianyar Regency Government.
PENDIDIKAN ISLAM SEBAGAI SEBUAH SISTEM (Transformasi Input Menuju Output Yang Berkarakter)
Authors: Jamin Ahmad 
Published: February 2023

The system is a unity or totality of a number of components or elements stand alone and work together and influence each other are focused on achieving a goal. As where education in general, Islamic education is a system or a totality that consists of several components that bersdiri own education, mutual cooperation and interplay focused on achieving the educational goals that have been set. The components of the educational system that work together and interplay that is the basis and purpose of education, Input learners, educators and education personnel, curriculum, administration, facilities, budget (instrumental input), parents and the community, natural conditions, sociocultural, political, economic and others are input environment (environmental input) which directly or indirectly affect the educational process. However it is important to underlinei Islamic education system based on the ideology of tawhid sourced to al-Quran and al-Sunnah and ijtihad. Islamic education system aimed at developing fitrah (base potential) human to human resources that embody the character. Sistem adalah suatu kesatuan atau totalitas dari sejumlah komponen atau unsur berdiri sendiri dan bekerja sama serta saling mempengaruhi satu sama lain yang terarah pada pencapaian suatu tujuan. Sebagai mana pendidikan pada umumnya, pendidikan Islam merupakan sebuah sistem atau satu totalitas yang terdiri dari beberapa komponen pendidikan yang bersdiri sendiri, saling berkerja sama dan saling mempengaruhi yang terarah pada pencapaian tujuan pendidikan yang telah ditetapkan. Adapun komponen sistem pendidikan yang saling bekerja sama dang saling mempengaruhi itu adalah dasar dan tujuan pendidikan, Input peserta didik, pendidik dan tenaga kependidikan, kurikulum, administrasi, sarana, anggaran (instrumental input),orang tua dan masyarakat, kondisi alam, sosial budaya, politik, ekonomi dan lain-lain merupakan masukan lingkungan (environmental input) yang secara langsung atau tidak langsung berpengaruh dalam proses pendidikan.Akan tetapi penting dgarisbawahi sistem pendidikan Islam berlandaskan kepada ideologi tawhid yang bersumber kepada al-Qur’an dan alsunnah dan ijtihad.Sistem pendidikan Islam diarahkan pada pengembangan fitrah (potensi dasar) manusia untuk mewujudkan SDM yang yang berkarakter.
A machine learning-derived gene signature for assessing rupture risk and circulatory immunopathologic landscape in patients with intracranial aneurysms
Authors: Lu Taoyuan , He Yanyan , Liu Zaoqu , Ma Chi , Chen Song , Jia Rufeng , Duan Lin , Guo Chunguang , Liu Yiying , Guo Dehua , Li Tianxiao , He Yingkun 
Published: February 2023

BackgroundIntracranial aneurysm (IA) is an uncommon but severe subtype of cerebrovascular disease, with high mortality after aneurysm rupture. Current risk assessments are mainly based on clinical and imaging data. This study aimed to develop a molecular assay tool for optimizing the IA risk monitoring system.MethodsPeripheral blood gene expression datasets obtained from the Gene Expression Omnibus were integrated into a discovery cohort. Weighted gene co-expression network analysis (WGCNA) and machine learning integrative approaches were utilized to construct a risk signature. QRT-PCR assay was performed to validate the model in an in-house cohort. Immunopathological features were estimated using bioinformatics methods.ResultsA four-gene machine learning-derived gene signature (MLDGS) was constructed for identifying patients with IA rupture. The AUC of MLDGS was 1.00 and 0.88 in discovery and validation cohorts, respectively. Calibration curve and decision curve analysis also confirmed the good performance of the MLDGS model. MLDGS was remarkably correlated with the circulating immunopathologic landscape. Higher MLDGS scores may represent higher abundance of innate immune cells, lower abundance of adaptive immune cells, and worse vascular stability.ConclusionsThe MLDGS provides a promising molecular assay panel for identifying patients with adverse immunopathological features and high risk of aneurysm rupture, contributing to advances in IA precision medicine.
Physical self-concept in Peruvian adolescent schoolchildren: Validity, reliability, and proposal of percentiles for its evaluation
Authors: Fuentes-Lopez Jose , Vidal-Espinoza Rubén , Limachi-Flores Mary , Callata-Gallegos Zaida , Quispe-Cruz Henry , Gomez-Campos Rossana , Cossio-Bolaños Marco 
Published: February 2023

IntroductionThe period of adolescence is characterized by marked changes relevant to adult life. The goals of this study were (a) to analyze the psychometric properties of the physical self-concept questionnaire (PSC) in adolescents and (b) to develop percentiles for evaluation by age and sex.MethodsA descriptive cross-sectional study was conducted in adolescents aged 11 to 17 years from an altitude region of Peru (3,812 m above sea level). The sample size was 1,263 schoolchildren (609 males and 654 females). The PSC was measured through the survey technique. The questionnaire proposed by Fox and Corbin (1989), composed of five dimensions (totaling 30 questions), was applied. Validity was assessed by means of confirmatory factor analysis (CFA) and reliability by means of internal consistency (Cronbach’s alpha). Percentiles were calculated using the LMS method (lambda: skewness, median; M and S: coefficient of variation).Results and DiscussionIn the CFA, factor loadings (communalities) were satisfactory for the model. Values ranged from (0.30 to 0.60), in addition, the Kaiser–Meyer–Olkin sample adequacy test was 0.89, X2 = 3401.086 (gl: 395, p&lt;0.00), CFI (0.898), RMSEA (0.078) and % variation 47%. The reliability values (Cronbach’s alpha) per question evidenced values from r = 0.80 to 0.81 and the total scale r = 0.81. Percentiles were calculated: p3, p5, p10, p15, p25, p50, p75, p80, p85, p90, and p95. This study concludes that the psychometric properties of the PSC questionnaire applied to adolescents living in an altitude region of Peru were valid and reliable. The proposed percentiles can be used to categorize and monitor PSC by age and sex. These results suggest their use and application in the school system.
Rickettsia parkeri hijacks tick hemocytes to manipulate cellular and humoral transcriptional responses
Authors: Adegoke Abdulsalam , Ribeiro Jose M. C. , Brown Sidney , Smith Ryan C. , Karim Shahid 
Published: February 2023

IntroductionBlood-feeding arthropods rely on robust cellular and humoral immunity to control pathogen invasion and replication. Tick hemocytes produce factors that can facilitate or suppress microbial infection and pathogenesis. Despite the importance of hemocytes in regulating microbial infection, understanding of their basic biology and molecular mechanisms remains limited.MethodsHere we combined histomorphology and functional analysis to identify five distinct phagocytic and non-phagocytic hemocyte populations circulating within the Gulf Coast tick Amblyomma maculatum.Results and discussionDepletion of phagocytic hemocytes using clodronate liposomes revealed their function in eliminating bacterial infection. We provide the first direct evidence that an intracellular tick-borne pathogen, Rickettsia parkeri, infects phagocytic hemocytes in Am. maculatum to modify tick cellular immune responses. A hemocyte-specific RNA-seq dataset generated from hemocytes isolated from uninfected and R. parkeri-infected partially blood-fed ticks generated ~40,000 differentially regulated transcripts, &gt;11,000 of which were immune genes. Silencing two differentially regulated phagocytic immune marker genes (nimrod B2 and eater-two Drosophila homologs), significantly reduced hemocyte phagocytosis.ConclusionTogether, these findings represent a significant step forward in understanding how hemocytes regulate microbial homeostasis and vector competence.
Identifying neutrophil-associated subtypes in ulcerative colitis and confirming neutrophils promote colitis-associated colorectal cancer
Authors: Zhang Chen , Zhang Jiantao , Zhang Yanli , Song Zian , Bian Jing , Yi Huanfa , Ma Zhanchuan 
Published: February 2023

BackgroundUlcerative colitis (UC) is a chronic inflammatory disease of the intestinal mucosa, the incidence of which has increased worldwide. There is still a lack of clear understanding of the pathogenesis of ulcerative colitis that ultimately leads to colitis-associated colorectal cancer.MethodWe download UC transcriptome data from the GEO database and pass the limma package in order to identify differentially expressed genes. Gene Set Enrichment Analysis (GSEA) was used to identify potential biological pathways. We identified immune cells associated with UC by CIBERSORT and Weighted co-expression network analysis (WGCNA). We used validation cohorts and mouse models to verify the expression of the hub genes and the role of neutrophils.ResultWe identified 65 differentially expressed genes in UC samples and healthy controls. GSEA, KEGG, and GO analyses displayed that DEGs were enriched in immune-related pathways. CIBERSORT analysis revealed increased infiltration of neutrophils in UC tissues. The red module, obtained by WGCNA analysis, was considered to be the most relevant module for neutrophils.Based on neutrophil-associated differentially expressed genes, UC patients were classified into two subtypes of neutrophil infiltration. We discovered that the highly neutrophil-infiltrated subtype B of UC patients had a higher risk of developing CAC. Five genes were identified as biomarkers by searching for DEGs between distinct subtypes. Finally, using the mouse model, we determined the expression of these five genes in the control, DSS, and AOM/DSS groups. The degree of neutrophil infiltration in mice and the percentage of MPO and pSTAT3 expression in neutrophils were analyzed by flow cytometry. In the AOM/DSS model, MPO and pSTAT3 expressions were significantly increased.ConclusionsThese findings suggested neutrophils might promote the conversion of UC into CAC. These findings improve our understanding of the pathogenesis of CAC and provide new and more effective insights into the prevention and treatment of CAC.
Persistence of inflammatory and vascular mediators 5 months after hospitalization with COVID-19 infection
Authors: Melhorn James , Alamoudi Asma , Mentzer Alexander J. , Fraser Emily , Fries Anastasia , Cassar Mark Philip , Kwok Andrew , Knight Julian Charles , Raman Betty , Talbot Nick P , Petousi Nayia 
Published: February 2023

Background and aimIn acute severe COVID-19, patients present with lung inflammation and vascular injury, accompanied by an exaggerated cytokine response. In this study, our aim was to describe the inflammatory and vascular mediator profiles in patients who were previously hospitalized with COVID-19 pneumonitis, months after their recovery, and compare them with those in patients recovering from severe sepsis and in healthy controls.MethodsA total of 27 different cytokine, chemokine, vascular endothelial injury and angiogenic mediators were measured in the plasma of forty-nine patients 5.0 ± 1.9 (mean ± SD) months after they were hospitalized with COVID-19 pneumonia, eleven patients 5.4 ± 2.9 months after hospitalization with acute severe sepsis, and 18 healthy controls.ResultsCompared with healthy controls, IL-6, TNFα, SAA, CRP, Tie-2, Flt1, and PIGF were significantly increased in the post-COVID group, and IL-7 and bFGF were significantly reduced. While IL-6, PIGF, and CRP were also significantly elevated in post-Sepsis patients compared to controls, the observed differences in TNFα, Tie-2, Flt-1, IL-7 and bFGF were unique to the post-COVID group. TNFα levels significantly correlated with the severity of acute COVID-19 illness (spearman’s r = 0.30, p &lt; 0.05). Furthermore, in post-COVID patients, IL-6 and CRP were each strongly negatively correlated with gas transfer factor %predicted (spearman’s r = –0.51 and r = –0.57, respectively, p &lt; 0.002) and positively correlated with computed tomography (CT) abnormality scores at recovery (r = 0.28 and r = 0.46, p &lt; 0.05, respectively).ConclusionA unique inflammatory and vascular endothelial damage mediator signature is found in plasma months following acute COVID-19 infection. Further research is required to determine its pathophysiological and clinical significance.
Improvement of Caciotta-like cheese nutritional value by means of enrichment with blackcurrant (Ribes nigrum) and Cornelian cherry (Cornus mas)
Authors: Andersen Jonas , Bosetti Maddalena , Mancini Andrea , Solovyev Pavel , Nardin Tiziana , Bontempo Luana , Larcher Roberto , Franciosi Elena 
Published: February 2023

IntroductionIn this study, we supplemented models of Caciotta-like cheese with blackcurrant (Ribes nigrum) and Cornelian cherry (Cornus mas), as they have a high content of polyphenols, known as phytochemicals associated with health benefits. We evaluated the microbial composition, organoleptic aspects, total phenolic content, and chemical composition of model cheeses enriched with blackcurrant and Cornelian cherry.MethodsTwo different suppliers have been tested: a conventional and an organic one. Two different conditions of preparation (freeze-dried and not freeze-dried) were tested in two different amounts (0.3 and 0.6% dry weight w/v milk volume). Polyphenols were determined using Folin–Ciocalteu reaction and spectrometry; microbial community was determined with selective 24 media and plate counts; composition was determined using nuclear magnetic resonance spectrometry. Organoleptic tests with an untrained panel have been performed.ResultsThe enrichments with blackcurrant and Cornelian cherry increased the total polyphenol content in model cheeses, in particular, when blackcurrant and Cornelian cherry were from conventional farming. Blackcurrant-enriched cheeses showed higher counts of lactic acid bacteria, higher levels of organic acids, amino acids, gamma-aminobutyric acid, histamine, and lower amount of monosaccharides deriving from bacterial lactose fermentation in cheese, suggesting a positive effect of blackcurrant compounds on the growth and activity of lactic acid bacteria. The enrichments did not affect the acceptance of the cheese, neither by blackcurrant nor by Cornelian cherry incorporation, with the exception of the appearance.DiscussionOverall, we showed that cheeses enriched with blackcurrant or Cornelian cherry from conventional farming increased the bioactive potential of the dairy product without having an adverse effect on the microbial community, physiochemical properties, or organoleptic properties.
Rapid en-bloc hematoxylin-eosin staining for human lung cancer tissue for fluorescence micro-optical sectioning tomography
Authors: Ding Yun , Wei Huaye , Liu Xin , Xu Meilin , Sun Daqiang , Li Ting , Li Xin 
Published: February 2023

Objective: To establish a rapid and effective method for en-bloc hematoxylin-eosin (HE) staining and paraffin embedding of human lung cancer and paracancerous tissues which can be applied to fluorescence micro-optical sectioning tomography (fMOST).Methods: Human lung cancer and paracancerous tissues with a size of about 1 cm × 1 cm × 0.3 cm were taken and fixed in 10% neutral formalin. HE staining was performed using a heat water bath to facilitate staining. After staining, isopropyl alcohol was used for dehydration and transparency. Then, 65°C paraffin was used for wax immersion followed by paraffin embedding, while continuous paraffin sections were produced for observation.Results: The tissues stained by en-bloc HE, dehydrated, transparent and wax immersion were slightly smaller in appearance, darker in color and slightly harder in texture than before. After paraffin embedding, the wax blocks did not show any obvious fragmentation, wrinkling or cavity formation, and could be continuously cut into 4-μm thick slices which could be dragged to form wax tapes. The sections could develop flat in waterbath, and the tissues showed no signs of collapse or separation from the paraffin. After sections were picked up and dewaxed, the tissue structure was intact and the cell structure was clear under light microscopy, which could be used to evaluate the pathological features of lung cancer and paracancerous tissues.Conclusion: We propose a suitable en-bloc HE staining of centimeter-sized lung cancer and paracancerous tissues that can be applied to fMOST. It is promising to be used in the accurate identification of structural landmarks and spatial assessment of lung cancer.
Estimating stomatal conductance of citrus under water stress based on multispectral imagery and machine learning methods
Authors: Xie Jiaxing , Chen Yufeng , Yu Zhenbang , Wang Jiaxin , Liang Gaotian , Gao Peng , Sun Daozong , Wang Weixing , Shu Zuna , Yin Dongxiao , Li Jun 
Published: February 2023

IntroductionCanopy stomatal conductance (Sc) indicates the strength of photosynthesis and transpiration of plants. In addition, Sc is a physiological indicator that is widely employed to detect crop water stress. Unfortunately, existing methods for measuring canopy Sc are time-consuming, laborious, and poorly representative.MethodsTo solve these problems, in this study, we combined multispectral vegetation index (VI) and texture features to predict the Sc values and used citrus trees in the fruit growth period as the research object. To achieve this, VI and texture feature data of the experimental area were obtained using a multispectral camera. The H (Hue), S (Saturation) and V (Value) segmentation algorithm and the determined threshold of VI were used to obtain the canopy area images, and the accuracy of the extraction results was evaluated. Subsequently, the gray level co-occurrence matrix (GLCM) was used to calculate the eight texture features of the image, and then the full subset filter was used to obtain the sensitive image texture features and VI. Support vector regression, random forest regression, and k-nearest neighbor regression (KNR) Sc prediction models were constructed, which were based on single and combined variables.ResultsThe analysis revealed the following: 1) the accuracy of the HSV segmentation algorithm was the highest, achieving more than 80%. The accuracy of the VI threshold algorithm using excess green was approximately 80%, which achieved accurate segmentation. 2) The citrus tree photosynthetic parameters were all affected by different water supply treatments. The greater the degree of water stress, the lower the net photosynthetic rate (Pn), transpiration rate (Tr), and Sc of the leaves. 3) In the three Sc prediction models, The KNR model, which was constructed by combining image texture features and VI had the optimum prediction effect (training set: R2 = 0.91076, RMSE = 0.00070; validation set; R2 = 0.77937, RMSE = 0.00165). Compared with the KNR model, which was only based on VI or image texture features, the R2 of the validation set of the KNR model based on combined variables was improved respectively by 6.97% and 28.42%.DiscussionThis study provides a reference for large-scale remote sensing monitoring of citrus Sc by multispectral technology. Moreover, it can be used to monitor the dynamic changes of Sc and provide a new technique for gaining a better understanding of the growth status and water stress of citrus crops.