bluuebunny/crossref_metadata_2025_split huggingface dataset:
KOH-Activated Dragon Fruit Peels for Cd2+ Ions Adsorption from Water
Authors: Lestari Puji , Pryadi M. Ichtiar , Siswoyo Eko 
Published: July 2024

This study investigates the potential of KOH-activated dragon fruit peels as an adsorbent for the removal of Cd2+ ions from solution. The adsorption performance of the activated dragon fruit peels was evaluated through batch adsorption experiments, where various parameters including adsorbent dosage, initial Cd2+ concentration, contact time, and solution pH were examined. The optimum condition for the adsorption process was pH 5, stirring time 120 min, adsorbent dosage of 20 mg (in 25 mL solution). The findings highlight the potential of utilizing agricultural waste materials, such as dragon fruit peel, as an effective and sustainable adsorbent for the removal of heavy metal ions from water sources, contributing to environmental remediation efforts.
Self-Efficacy Boosts Online Accounting Learning in Indonesia
Authors: Rokhillah Yuni , Biduri Sarwenda 
Published: July 2024

This research investigates the impact of online lectures, learning methods, and learning motivation on accounting students' comprehension during COVID-19, using self-efficacy as a moderating variable. The study employs a quantitative approach with data from 155 accounting students at Universitas Muhammadiyah Sidoarjo, collected via questionnaires and analyzed using SmartPLS. Results show that online lectures, diverse learning methods, and learning motivation significantly enhance understanding of accounting subjects, with self-efficacy moderating these effects. These findings suggest that boosting self-efficacy can improve the effectiveness of online learning and teaching methods.
Highlights:

Learning Impact: Online lectures enhance accounting comprehension.
Moderation: Self-efficacy moderates the learning effects.
Implication: Boosting self-efficacy improves online learning outcomes.

Keywords: Online lectures, learning methods, learning motivation, self-efficacy, accounting comprehension
CLIS Model Boosts Science Understanding in Indonesian Fifth Graders
Authors: Maghfiroh Faiqotul , Setiyawati Enik 
Published: July 2024

This study investigates the impact of the Children Learning In Science (CLIS) model on fifth graders' science concept understanding. Using a quantitative one-group pretest-posttest design, 24 students from SDN Jeruk Purut 1 Gempol were tested with essay questions. The paired sample t-test showed a significant improvement (Sig. 0.00 < 0.05) in science understanding after applying the CLIS model. The N-Gain test indicated a medium-level improvement with a mean score of 0.6513. These results demonstrate that the CLIS model effectively enhances students' science comprehension, suggesting its broader potential for science education.Highlight:

Significant impact of CLIS on science concept understanding.
Medium category increase in science concept understanding.
Valid and reliable instruments confirmed by expert judgment.

Keywoard: CLIS, science education, fifth graders, quantitative study, conceptual understanding
Strategi Rekrutmen Dosen Berbasis Matrik S.W.O.T. di Institut Agama Islam Al Muhammad Cepu
Authors: Puspita Sari Kharisma , Slamet Mamiek 
Published: July 2024

High institution needed the management of employment resources that were suitable, fair, and selective. However, the educational workers from private institution frequently considered as low quality workers because they could not be competitive with others. Al Muhammad Cepu High Institute has a fixed strategies for the recruitment of lecturers from Assistant Professor (AA/Asisten Ahli) up to Full Professor (Guru Besar/GB). In this study, the current researchers aimed to describe strategies in recruiting lecturers. Those strategies was reached based on the S.W.O.T. matrix analysis with the internal and external factors. This was descriptive research by completing the collaborative approach between qualitative and quantitative. Qualitative data were identifications of internal external factors and synchronization of any norm and applicable rules related to lecturer’s recruitment. Quantitative data were tabulation of IFAS AND EFAS factors. Next, the writers have found two strategies for recruiting functional-level lecturers that were; 1) open-ended recruitment, and 2) closed-ended recruitment. Moreover, from the current employment data and those applicable recruitment systems, the researchers processed the findings by using the S.W.O.T. approach. This process occurred in some steps like a)identifying internal and external factors, and b)composing IFAS (Internal Factor Analysis Strategy) and EFAS (External Factor Analysis Strategy), c) confirming the statistical rate starts from 0,00 up to 1,00, d) taking the level from the number of 1,00 up to 4,00, and e) making quadrant matrix and relativity ratio, and 4)explain the challenges, obstacles, and opportunities.
An observational study to determine the optimal physical evaluation site for detecting anemia
Authors: Horibata Ken , Kondo Seigo , Hashimoto Shuji , Takemura Yousuke 
Published: July 2024

Abstract

Background: Clinical pallor has traditionally served as a screening tool for anemia; however, its assessment is inherently subjective and lacks objectivity. Therefore, this study aimed to investigate the correlation between skin and mucosal color, as measured by a spectrophotometer, and venous hemoglobin (Hb) values, to identify the optimal anatomical assessment site for detecting anemia.
Methods: A cross-sectional design. Ninety-two adult Japanese outpatients from an urban small hospital in Japan participated in the study. Using a spectrophotometer, the color of the lower lip and palpebral conjunctiva was measured indirectly, while the color of the nails and palms was measured directly. Skin and mucosal color were quantified using the L*a*b* color scale. The color difference (ΔE*) was employed to evaluate the discriminability of anemia identification across different assessment sites. Additionally, venous Hb values were recorded, with anemia defined as Hb <12.0 g/dL.
Results: The a* values of the lip, palpebral conjunctiva, palm, and inside of the upper arm exhibited a positive correlation with Hb values and were significantly lower in the anemic group. While the ΔE* levels for the palpebral conjunctiva and lip were readily discernible by the human eye when comparing the normal and anemic groups, recognition at this level proved challenging for other sites.
Conclusion: The palpebral conjunctiva and lip demonstrate potential suitability for visual diagnosis of anemia. In the nail, palm, and inside of the upper arm, anemia detection may require highly trained observation. Consequently, reliance on these sites for anemia diagnosis may lead to potential oversight.
Screening of reference genes by qRT-PCR in Chelonus formosanus
Authors: cai qiujiu , jia jingjing , huang weikang , lin zhufeng , feng qing , yao qi , ji xuncong 
Published: July 2024

Abstract

Chelonus formosanus is an important parasitic natural enemy of Lepidopteran insects and has great value in the biological control of insect pests. To screen the reference genes in the real-time fluorescence quantitative PCR (qRT-PCR) assay of Chelonus formosanus, six candidate reference genes were selected based on transcriptome data, including GAPDH, ACT, TU, TF, HSP, and RP. The expression stability of these six internal reference genes was determined by qRT-PCR in different tissues (head, chest, abdomen) and at different temperatures (11℃and 41℃), as well as with two insecticides (dinotefuran and chlorantraniliprole). The BestKeeper, GeNorm, NormFinder, Delta, and RefFinder were used to evaluate the expression stability of each gene after treatments. The results show that ACT is the most stable gene in different tissue assays. TU was the most stable reference gene in different insecticide experiments. The GAPDH was the most unstable gene in tissue assays and insecticide treatments. Furthermore, the expression of RP was the most stable under high and low temperature stresses, while the HSP was significantly affected by temperature treatments. Taken together, this study provides a basis for selecting reference genes under different conditions. It is also conducive to obtaining accurate and reliable data in the gene expression experiments of Chelonus formosanus.
Emergence of potato virus Y outbreaks in tomatoes in Brazil, the disease and spread
Authors: Lucena Vivian dos Santos , Nakasu Erich Yukio Tempel , Pereira José Luiz , Rêgo-Machado Camila de Morais , Rodrigues Cristiano Silva , Ueno Bernardo , Morais Ivair José , Inoue-Nagata Alice Kazuko 
Published: July 2024

Abstract

The emergence of 'Mexican Fire' disease in Brazilian tomato fields, attributed to potato virus Y (PVY), has raised concerns. Characterized by severe necrosis on median leaves, the definitive etiological agent of this disease remained unverified despite PVY detection in symptomatic plants. Our study aimed to elucidate the causal agent, occurrence, spread, and symptomatology of Mexican Fire. Deep sequencing of tomato leaves with typical necrotic symptoms confirmed the association with PVY, reinforcing its role as the causal agent. Serological tests with a PVY-specific polyclonal antibody consistently correlated symptoms with virus presence in a fresh market tomato field, with higher PVY incidence near older tomato and maize plants. Necrotic leaf distribution analysis revealed a predominant occurrence in median leaves, progressing upwards. Deep sequencing of symptomatic field samples exclusively detected PVY, reaffirming its role in symptom induction. Importantly, PVY inoculation under field and greenhouse conditions fulfilled Koch's Postulates, triggering leaf necrosis. Our findings unequivocally establish PVY as the causal agent of Mexican Fire disease, shedding light on its etiology, incidence, spread, and symptom expression, crucial for effective disease management strategies.
Evaluating the impact of Neisserria meningitidis pentavalent vaccine in the African meningitis belt: A modeling study
Authors: Hussaini Nafiu , Habib Abdurrazaq G. , Garba Iliyasu , Colubri Andrés , Musa Salihu S. 
Published: July 2024

Abstract

The African meningitis belt (AMB) countries experience recurring epidemics of \textit{Neisseria meningitidis} (Nm) meningococcal meningitis. This study presents a Susceptible-Carrier-Infected-Recovered (SCIR)-based dynamic model to analyze Nm transmission dynamics in this region, incorporating the impact of pentavalent vaccines. The model serves as a foundational tool for evaluating the effectiveness of these vaccines and aiding decision-making in control and prevention efforts.We examine various aspects of Nm infection epidemiology, focusing on the introduction of pentavalent meningococcal conjugate vaccines targeting serogroups A, C, W-135, Y, and X in AMB countries. Our analysis includes assessing different vaccination strategies for carriers with and without vaccine-covered serogroups, as well as evaluating disease transmissibility and infectivity in high- and low-risk areas.One of the main quantitative findings in our study is identifying the impact of significant decrease in the number of carriers with the implementation of pentavalent vaccines. This reduction underscores the efficacy of these vaccination strategies in reducing Nm transmission and controlling epidemics in these regions.Additionally, important epidemiological parameters such as reproduction numbers are derived to inform effective prevention measures. Climate change, socioeconomic disparities, and population density are identified as potential drivers of increased Nm outbreaks in these countries. However, further research is necessary to better understand disease variability and vulnerability, especially in young children.
DNet :A depression recognition network combining residual network and vision transformer
Authors: Jiang Zhongyi , Gao Xing , Cao Yin , Zhang Yihan , Dong Guanzhong , Chen Yun , Zhu Xuanyan , Zhang Qiaoyang , Bi Ran , Wang Ke 
Published: July 2024

Abstract

Depression is a prevalent and severe global mental disorder, yet its diagnosis and treatment encounter numerous challenges. This study introduces an innovative depression identification network, termed DNet. Our approach utilizes facial images and local facial images as crucial sources of data. Given that facial expressions of individuals with depression at varying severity levels inherently share similar latent facial features, subtle differences exist across multiple facial regions. To achieve higher recognition accuracy, a method is required to fuse advanced semantic features between local and global features.Therefore,we proposeDNet, comprising two key components: the Feature Extraction Module (FEM) and the Vision Transformer (ViT) Block. Specifically, FEM introduces an attention mechanism that considers both channel and positional information of the feature map. Two FEMs are employed to separately process facial and local facial images, extracting critical features to generate highly semantic information-rich feature maps. Subsequently, the feature maps of both images are concatenated along the channel dimension, and the ViT Block is utilized to comprehensively learn advanced semantic features of local and global information related to different facial expression regions. Finally, a 1×1 convolution layer and a fully connected layer are applied to adjust feature channels, yielding more robust predictive results and ultimately outputting depression prediction scores.We experimentally validate the DNet network on the AVEC2014 dataset and our self-constructed CZ2023 dataset, obtaining results of MAE=6.27, RMSE=7.96, and MAE=7.46, RMSE=9.15, respectively. These results affirm the effectiveness of the proposed method.
Evaluation of the alcohol yield from sugar cane bagasse in small existing distilleries.
Authors: Suárez Cristo David Santana , Diaz Oscar Gonzalez , Melián Elisenda Pulido , Rodríguez Julieta Cristina Schallenberg 
Published: July 2024

Abstract

The gradual increase in the consumption of fossil fuels, coupled with the current economic and social situation, has created the need to seek alternatives for the self-sufficiency of territories, thereby promoting an increase in socio-economic well-being in the surrounding areas. Second-generation bioethanol derived from lignocellulosic waste from the agro-industrial sector is a biofuel with high potential, which can take advantage of existing infrastructure. In this line, several full scale experiments were performed in real environment in a distillery factory in the island of Gran Canaria. After performing acid hydrolysis and enzymatic hydrolysis using sugarcane bagasse from the factory, it has been observed that good yields cannot be achieved without the pretreatment stage, with acid hydrolysis (<30%) and enzymatic hydrolysis (<79%) performing poorly. In comparison, alkaline pretreatment in enzymatic hydrolysis has shown superior conversion rates exceeding 80%. However, an optimal time has been sought for our working conditions to limit the formation of inhibitors, which would have a negative impact during the subsequent fermentation process.
Feeding deterrence, and Larvicidal potential effects of Melletia furrgunia seed solvent extracts against Diamondback moth. Plutella xylostella L. (Lepidoptera: Plutellidae)
Authors: Nega Adem 
Published: July 2024

Abstract

The feeding deterrence and larvicidal potential effects of Melletia furrgunia seed powder solvent extract against Plutella xylostella L. larvae were evaluated under laboratory conditions. Cabbage leaves were dipped into a test solution of 0, 0.2, 0.4, 0.6, 0.8, 1.0, 1.2, and 1.4mg/ml (w/v) for 1hr. The result showed that feeding was fully prevented at higher rates of polar solvent extracts. Leaves treated with polar extracts caused higher larval mortality. The highest mortality was recorded from water and acetone extracts. Mortality for neonates and third instars was very high in polar solvent extracts and has much smaller LC50 values. Other extracts have higher LC50 and caused significant larvae kill only at higher rates. In conclusion, polar solvent extracts of M. furrgunia possess significant feeding deterrence and larvicidal effects against P. xylostella.
RDW-CV / Albumin Ratio Provides Across Cancer Sites Strong Explained Variance in Risk Modelling Using Routinely Available Biomarkers
Authors: Garcia Gustavo , Hameed Maha , Zhen Kevin Cai , Rosario Manuel , Hamad Karen , Wiese-Rometsch Wilhelmine , Smith Robert , Ning Ke 
Published: July 2024

Abstract

Cancer patients frequently face risks for hospitalization, ICU admission, and mortality. An accurate risk stratification tool to predict short-term mortality in hospitalized cancer patients would benefit level of care decision at presentation. Red cell distribution width (RDW) has been reported as a predictor of mortality but application to cancer is uncertain. Elevated RDW has been associated with clinical decompensation and morality in patients harboring cardiovascular diseases, kidney injury, sepsis, cerebrovascular accidents and trauma. Our study aimed to determine whether RDW in cancer patients, independently or in combination with other putative severity markers, obtained within 24h of hospitalization, could predict progression to critical illness, defined as admissions to intensive care unit, discharge to hospice or death within 30 days. Our preliminary findings obtained from a community-teaching hospital, demonstrated that RDW was independently or in combination with other putative severity markers, associated with short-term cancer progression to composite outcome.
IRTCI: Item Response Theory for Categorical Imputation
Authors: Kline Adrienne , Luo Yuan 
Published: July 2024

Abstract

Most datasets suffer from partial or complete missing values, which has downstream limitations on the available models on which to test the data and on any statistical inferences that can be made from the data. Several imputation techniques have been designed to replace missing data with stand in values. The various approaches have implications for calculating clinical scores, model building and model testing. The work showcased here offers a novel means for categorical imputation based on item response theory (IRT) and compares it against several methodologies currently used in the machine learning field including k-nearest neighbors (kNN), multiple imputed chained equations (MICE) and Amazon Web Services (AWS) deep learning method, Datawig. Analyses comparing these techniques were performed on three different datasets that represented ordinal, nominal and binary categories. The data were modified so that they also varied on both the proportion of data missing and the systematization of the missing data. Two different assessments of performance were conducted: accuracy in reproducing the missing values, and predictive performance using the imputed data. Results demonstrated that the new method, Item Response Theory for Categorical Imputation (IRTCI), fared quite well compared to currently used methods, outperforming several of them in many conditions. Given the theoretical basis for the new approach, and the unique generation of probabilistic terms for determining category belonging for missing cells, IRTCI offers a viable alternative to current approaches.
Neurogliaform Cells Exhibit Laminar-specific Responses in the Visual Cortex and Modulate Behavioral State-dependent Cortical Activity
Authors: Fishell Gord , Huang Shuhan , Rizzo Daniella , Wu Sherry , Xu Qing , Zaine Leena , Alghamdi Norah , Stafford David , Daigle Tanya , Tasic Bosiljka , Zeng Hongkui , Ibrahim Leena 
Published: July 2024

Abstract

Neurogliaform cells are a distinct type of GABAergic cortical interneurons known for their ‘volume transmission’ output property. However, their activity and function within cortical circuits remain unclear. Here, we developed two genetic tools to target these neurons and examine their function in the primary visual cortex. We found that the spontaneous activity of neurogliaform cells positively correlated with locomotion. Silencing these neurons increased spontaneous activity during locomotion and impaired visual responses in L2/3 pyramidal neurons. Furthermore, the contrast-dependent visual response of neurogliaform cells varies with their laminar location and is constrained by their morphology and input connectivity. These findings demonstrate the importance of neurogliaform cells in regulating cortical behavioral state-dependent spontaneous activity and indicate that their functional engagement during visual stimuli is influenced by their laminar positioning and connectivity.
Limiting Factors for Ostomy Closure After Cytoreductive Surgery for Ovarian Cancer: a Retrospective Study.
Authors: Santana Beatriz Navarro , Martin Alicia , Arencibia Octavio , Babin Guillaume , González Daniel , Tomassetti Eudaldo , Piedimonte Sabrina , Guyon Frédéric 
Published: July 2024

Abstract

Purpose: To investigate the factors related to non-reversal of ostomy after cytoreductive surgery in ovarian cancer. In many women with ovarian cancer, transitory ostomies are performed to limit the consequences of anastomotic leak. Although intended to be temporary, a proportion of these ostomies might never be reversed
Methods: This was a retrospective study of patients with 2014 FIGO stage IIB-IVB ovarian cancer requiring a transitory ostomy during primary or secondary cytoreductive surgery at Institute Bergonie, France and University Hospital of Las Palmas, Spain between January 2012 and December 2022. Rate, timing (weeks) and postoperative complications of ostomy reversal were assessed. Multivariate logistic regression analysis was performed to identify limiting factors for ostomy reversal.
Results: During the study period we reviewed data on 181 consecutive ovarian cancer patients with transitory ostomy creation. A total of 89 (49.2%) patients were not candidate for an ostomy reversal surgery because of disease progression (n=65), death (n=16), and patient´s refusal of surgery (n=8). So, 92 patients were candidate for a reversal surgery and therefore included in final analysis. In total, 57 (62%) patients had their ostomy reversed. Mean time from ostomy creation to ostomy closure was 47.7 weeks (±33.1). Hartmann’s procedure (leaving a rectal stump of 5-6cm) was identified as an independent predictive factor for non-reversal of ostomy [OR 6.42 (1.61-25.53), p=0.008]. Complications after ostomy reversal occurred in 32 patients (34.8%).
Conclusions:
Hartmann´s procedure is a limiting factor for ostomy reversal. We recommend avoiding Hartmann´s procedure during cytoreductive surgery and even after colorectal anastomotic leak.
SIN3A/MIR22HG/Beclin1 Axis Regulates Both Autophagy and Ferroptosis in Lung Adenocarcinoma
Authors: Chen Yongyang , Yin Miao , Huang Xiaobi , Liu Chang , Zheng Yuexin , Zhou Honglian , Lei Xiao , Jiang Yuetong , Liang Yanfeng , Xu Xiaoqing , Niu Feiyu , yang Zhixiong , Su Wenmei 
Published: July 2024

Abstract

Through comprehensive analysis of long non-coding RNA expression profiles from RNA-Seq data, we identified that MIR22HG was significantly downregulated in lung adenocarcinoma and associated with poor patient prognosis. Subsequent animal studies confirmed its tumor-suppressive effects. We elucidated the mechanism by which MIR22HG exerts oncogenic suppression in lung adenocarcinoma, revealing that it mediates Beclin1 to activate signaling pathways for both autophagy and ferroptosis, thereby producing a combined oncogenic suppressive effect. Additionally, we demonstrated that SIN3A directly binds to MIR22HG, leading to its downregulation. This interaction inhibits both autophagy and ferroptosis via the MIR22HG network, contributing to a pro-oncogenic effect. These findings propose MIR22HG as a novel diagnostic, prognostic, and therapeutic marker for lung cancer. Furthermore, targeting the repressive effects of SIN3A on MIR22HG expression may enhance dual-targeted therapy approaches in clinical settings.