bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of Cognitive Analytical and Acceptance Commitment Therapies in Reducing Negative Attitude towards Matrimony among Christian Youths in Benin City, Nigeria
Authors:   1.	Lawrence I. Iriogbe,   2.	Oyaziwo Aluede,   3.	Austine Ojugo, Henry O. Imhonde ,   5.	Osumah A Obaze
Published: May 2024

Abstract

The study investigated the effects of Cognitive Analytical Therapy (CAT) and Acceptance Commitment Therapy (ACT) in reducing negative marital attitude of Christian youths in Benin City, Nigeria. The randomized quasi- experimental research design, specifically the pre-test, post-test, control group types, was employed in this study. A Sample size of 148 purposively selected Christian youths participated in the study. A content validated scale titled Marital Attitude Scale (MAS), with Cronbach Alpha reliability value of 0.78 was used in the collection of data from the participants. Result showed that CAT and ACT were effective treatments for reducing negative attitude towards matrimony among Christian youths. Also, ACT was more effective than CAT in reducing negative attitude towards matrimony among the Christian youths. It was therefore recommended that both CAT and ACT are potent therapies for the reduction of negative marital conflicts. Therefore, community-Based Organisations (CBOs) and Non-Governmental Organisations (NGOs) should work closely with counsellors and Psychologists to educate youths on how to “accept commitment’’ as far as marital issues are concerned. This can be done by employing orientation and information services to teach youths that are old enough for marriage.
Soil quality and health under different tree species in an urban university campus: A multidimensional study
Authors: Nandal Abhishek , Rani Sunita , Yadav Surender Singh , Kaushik Naveen , Kataria Naveen , Hasanpuri Pritam , Lal Rattan 
Published: May 2024

Abstract

Soil is vital to food security and ecosystem nutrient recycling. Rapid infrastructure development projects requiring mineral resource extraction have led to an overall decrease in soil quality. Due to a higher environmental footprint, cities' soil quality has declined quickly, which requires continuous monitoring and evaluation. Educational institutions are traditionally not taken into account for such monitoring. Thus, the present study investigated the soil health status under 10 different plantations in Maharshi Dayanand University located in Rohtak city. Using different digital and volumetric methods, 20 physicochemical parameters and nutrients viz. sand, silt, clay, pH, electrical conductivity (EC), organic matter (OM), macronutrients and micronutrients. Sampling was performed at four depths (0-10, 10.1-20, 20.1-30 and 30.1-40 cm) to collect 40 samples. Repeated measures of one-way analysis of variance (ANOVA) and pairwise comparison were used to detect significant differences. Different tree plantations affected soil parameters significantly (p<0.05). The soil nutrient index value (SNIV) classified sand (3), pH (2.62), Ca2+ (2.82), Cu (2.60) and Fe (2.65) in the high fertility class. Network analysis demonstrated an effect of physicochemical parameters on OM and nutrients. The structural stability index (SSI) appropriated 50 % of the samples as thoroughly degraded (SSI<5 %). Principal component analysis (PCA) produced five significant components and designated N, P, Cu and OM as the most critical soil chemistry variables. Hierarchical cluster analysis (HCA) produced 3 clusters for tree species with similar soil properties. Overall, the campus's soil is alkaline, non-saline and nutrient deficient, and surface layers are more fertile. The soil under F. virens is the most productive. The results obtained and customized solutions provided in this article may help to improve soil health on the campus ans aid in sustainable soil use, conservation and management. This may also motivate other campuses around the globe to assess their soil health status.
Effects of thermophilic and acidophilic microbial consortia on maize steeping
Authors: Sun Yaqin , Xia Wenjing , Tang Langjun , Xiu Zhilong , Jin Weiwu , Wang Xiaoyan , Tao Jin , Liu Haijun , An Hongyan , Li Yi , Tong Yi 
Published: May 2024

Abstract

To understand the ecology of species and promote biotechnology through beneficial strain selection for improving starch yield in maize wet-milling steeping, bacterial diversity and community structure during the counter-current steeping process in a commercial steeping system were characterized and investigated in this study. Microbial diversity in the steeping liquor, which consisted of 16 phyla, 131 families, and 290 genera, was more abundant compared to those present on the surface of unsteeped maize. As the process of counter-current steeping progressed, with the newest maize being exposed to the oldest steepwater, Lactobacillus became the primary family, replacing Rahnella, Pseudomonas, Pantoea, and Serratia. The thermophilic and acidophilic microbial consortia were enriched through adaptive evolution engineering and employed to improve starch yield. Several steeping strategies were evaluased, including water alone, SO2 alone, mono-culture of B. coagulans, microbial consortia, and a combination of consortium and SO2. The combination of microbial consortium and SO2 resulted in a significant increase in starch yield, reaching approximately 66.4±0.5%, which was an increase of 22% and 46% compared to SO2 alone and microbial consortium alone, respectively. Additionally, protein solubilization was enhanced. Scanning electron microscope (SEM) of steeped maize structure indicated that the combination of consortium and SO2 disrupted the protein matrix and increased the gap between starch granules in maize endosperm. This led to the release of protein into the steepwater and the presence of starch granules in the aleurone layer. The steeping strategy of thermophilic and acidophilic microbial consortium as additives shows potential application as an environmentally friendly alternative for conventional procedures of maize steeping.
Heme allocation in eukaryotic cells relies on mitochondrial heme export through FLVCR1b to cytosolic GAPDH
Authors: Stuehr Dennis , Jayaram Dhanya , Sivaram Pranav , Biswas Pranjal , Dai Yue , Sweeny Elizabeth 
Published: May 2024

Abstract

Heme is an iron-containing cofactor essential for life. In eukaryotes heme is generated in the mitochondria and must leave this organelle to reach protein targets in other cell compartments. Mitochondrial heme binding by cytosolic GAPDH was recently found essential for heme distribution in eukaryotic cells. Here, we sought to uncover how mitochondrial heme reaches GAPDH. Experiments involving a human cell line and a novel GAPDH reporter construct whose heme binding in live cells can be followed by fluorescence revealed that the mitochondrial transmembrane protein FLVCR1b exclusively transfers mitochondrial heme to GAPDH through a direct protein-protein interaction that rises and falls as heme transfers. In the absence of FLVCR1b, neither GAPDH nor downstream hemeproteins received any mitochondrial heme. Cell expression of TANGO2 was also required, and we found it interacts with FLVCR1b to likely support its heme exporting function. Finally, we show that purified GAPDH interacts with FLVCR1b in isolated mitochondria and triggers heme transfer to GAPDH and its downstream delivery to two client proteins. Identifying FLVCR1b as the sole heme source for GAPDH completes the path by which heme is exported from mitochondria, transported, and delivered into protein targets within eukaryotic cells.
Assessing the sensitivity and acceptability of the Royal Marsden Palliative Care Referral “Triggers” Tool for out-patients with cancer
Authors: Kamal Laila , Kano Yuki , Stevens Anna-Marie , Mohammed Kabir , Pattison Natalie , Perkins Margaret , Popat Sanjay , Benson Charlotte , Minton Ollie , Laverty Diane , Wiseman Theresa , Mayland Catriona R , Gough Nicholas , Williams Caroline , Want Julie , Tweddle Andrew , Wood Jayne , Droney Joanne 
Published: May 2024

Abstract

Purpose:
To evaluate the use, acceptability, and experience of a seven-item palliative care referral screening tool in an outpatient oncology setting.
Methods:
Atwo-phase convergent parallel mixed methods study. Patient participants who met any of the “Royal Marsden Triggers Tool” criteria were compared with those who did not in terms of demographic data, palliative care needs (Integrated Palliative Outcome Scale, IPOS) and quality of life indicators (EORTC-QLQ-C30).
In-depth interviews were carried out with patients and oncology staff about their views and experience of the “Royal Marsden Triggers tool”. Qualitative and quantitative data were triangulated at data interpretation.
Results:
348 patients were recruited to the quantitative phase of the study of whom 53% met at least one of the Triggers tool palliative care referral criteria. When compared with patients who were negative using the Triggers tool, “Royal Marsden Triggers tool” positive patients had a lower quality of life (EORTC QLQ-C30 Global Health Status scale (p<0.01)) and a higher proportion had severe or overwhelming physical needs on IPOS (38% versus 20%, p<0.001). Median survival of “Royal Marsden Triggers tool” positive patients was 11.7 months.
16 staff and 19 patients participated in qualitative interviews. The use of the tool normalized palliative care involvement, supporting individualized care and access to appropriate expertise.
Conclusion
The use of a palliative care referral tool streamlines palliative care within oncology outpatient services and supports teams working together to provide an early holistic patient-centered service. Further research is needed to evaluate the effectiveness and feasibility of this approach.
Exploring Heterogeneity Across Diverse Regulated-Cell Death Patterns in Glioma
Authors: Jiang Zhipeng , Huang Hailong , Wang Zihan , Guo Youwei , Yin Wen , Huang Haoxuan , Wang Lei , Liu Weidong , Jiang Xingjun , Ren Caiping 
Published: May 2024

Abstract

Background
Glioma stands out as the most malignant ailment affecting the central nervous system. Regulated cell death, orchestrated by a multitude of genes, serves as a pivotal determinant in shaping cellular destiny and significantly contributes to tumor advancement. However, there is a dearth of literature delving into the evolution of glioma disease through the prism of cell death patterns. Hence, our objective is to delve into the pertinent molecular mechanisms underlying glioma, with a specific focus on the potential role of regulated cell death.
Results
Different patterns of regulated cell death collectively contribute to the progression of glioma. Clusters characterized by relatively specific high expression of alkalosis and netotic cell death exhibit relatively malignant clinical features. Through differential gene screening, we constructed a prognostic signature consisting of genes such as TIMP1. This model demonstrates good prognostic predictive ability, with its scoring reflecting the progression of glioma. Finally, experimental validation of TIMP1 confirms its involvement in the progression of malignant cells.
Conclusion
These findings provide new insights into understanding the relationship between regulated cell death and glioma development and identify novel biomarkers may help to guiding precise treatments to glioma.
A new method to accurately predict jet cutting front profile from jet cutting images
Authors: Chen Ke , Zhang Shijin , Wu Yuqiang , Chen Ming 
Published: May 2024

Abstract

As an advanced manufacturing technique, high-energy abrasive water jet (AWJ) has some special advantages such as high efficiency, no-heat affected zone, cleanliness. Therefore, it is particularly suitable for processing some special materials used extensively in aerospace, rail, and shipbuilding industries. However, the jet undergoes a real-time dynamic deformation during cutting process due to the changes of the cutting conditions. And the dynamically deforming jet often results in low cutting accuracy. If the cutting front profile of the jet can be accurately predicted and controlled properly, machining precision can be greatly enhanced. In this study, a high-speed camera has been utilized to capture the images of the jet during the jet cutting process. After that, a dataset of jet image segmentation has been created, and the jet profiles have been extracted from each image using the Segment Anything Model (SAM). We represented and quantified the trailing edge features of the jet profiles and proposed an AWJ_GA_BP neural network-based jet profile prediction algorithm, achieving a more accurate prediction of trailing edge features of the jet profiles. This research not only improves the understanding of abrasive water jet machining mechanisms but also provides a crucial guidance for precise control of abrasive water jet.
Regulatory B cells drive immune evasion in the tumor microenvironment and are involved peritoneal metastasis in gastric cancer
Authors: Fujiwara Yuta , Kinoshita Jun , Shimada Mari , Saito Hiroto , Tsuji Toshikatsu , Yamamoto Daisuke , Moriyama Hideki , Horii Motoki , Nomura Sachiyo , Matsushita Takashi , Yamamoto Yasuhiko , Inaki Noriyuki 
Published: May 2024

Abstract

Background: Peritoneal metastasis (PM) of gastric cancer (GC) has an immune escape environment. Regulatory B cells (Bregs), characterized by IL-10 production, play an important role in the tumor immunity; however, the function of Bregs in PM remains unclear. We investigated the frequency and effects of Bregs on other immune cells in the PM using clinical specimens and mouse models of PM.
Methods: Breg frequency was assessed in the blood and ascites from healthy subjects and patients with early GC, advanced GC, and PM by flow cytometry, and in resected specimens of primary GC and PM by immunohistochemistry. Additionally, we analyzed Bregs and other immune cells in C57BL/6J and B cell-specific phosphatase and tensin homolog (PTEN)-deficient PM mouse models.
Results: In the peripheral blood and ascites, Breg frequency was significantly higher in patients with GC with PM than in those without PM. In clinical PM samples, Breg frequency was an independent prognostic factor. In the mouse PM model, peritoneal tumors showed higher Breg infiltration than subcutaneous tumors. In the PTEN-deficient PM model, activation of Bregs promoted ascites and peritoneal tumor growth, decreased the infiltration of CD8+ T cells, and increased the infiltration of M2 macrophages. In contrast, treatment with wortmannin, a phosphatidylinositol 3-kinase (PI3K) inhibitor, suppressed Breg infiltration, resulting in decreased M2 macrophage infiltration and increased CD8+ T cell infiltration.
Conclusions: Bregs are indicated to be involved in immunosuppression of PM and are promising targets for improving the efficacy of immunotherapy against PM.
Developing three-dimensional rheological model for clay from K0 oedometer test
Authors: Ge Chen , Jungao Zhu , Tao Wang , Long Wang , Fulong Ma , Qixun Luo 
Published: May 2024

Abstract

The rheological deformation of soil can pose significant threats to the economy and public safety, making accurate prediction of soil rheological deformation crucial. In this paper, one-dimensional compression rheological tests were operated for over-consolidated clay by a novel K0 oedometer. The test results show that the coefficient of earth stress at rest K0 remains constant over time under constant load. The strain-time relationship during reloading can be described by a hyperbolic function, while the stress-strain relationship can be represented by a power function. Based on the relationship of strain-stress-time and the equal timeline theory, a one-dimensional viscoplastic equation was proposed to describe the axial strain rate. By introducing K0, a viscoplastic volumetric strain rate equation is derived, leading to the development of a three-dimensional elastic viscoplastic model under general stress conditions. Verification shows that the predictions of the proposed model agrees well with the test data of triaxial rheological. The model, based on K0 oedometer tests data, offers a simplified alternative to complex triaxial rheological tests and extends the modeling approach of rheological models.
MRPL13 is a metastatic and prognostic marker of breast cancer: a silico analysis accompanied with experimental validation
Authors: Dai Pei , Chen Yan’an , Zhang Xiao , Liu Long , Cheng Zhenbo 
Published: May 2024

Abstract

Background: Although progress has been made in accurate diagnosis and targeted treatments, breast cancer (BC) patients with metastasis still present a grim prognosis. With the continuous emergence and development of new personalized and precision medicine targeting specific tumor biomarkers, there is an urgent need to find new metastatic and prognostic biomarkers for BC patients.
Methods: We commit to identify genes that associate with metastasis and prognosis in BC by a silico analysis accompanied with experimental validation.
Results: A total of 25 overlap differentially expressed genes were identified. Ten hub genes (namely MRPL13, CTR9, TCEB1, RPLP0, TIMM8B, METTL1, GOLT1B, PLK2, PARL and MANBA) were identified and confirmed. MRPL13, TCEB1, GOLT1Bwere shown be associated with the worse over survival (OS) and were optionally chosen for further verification by western blot. Only MRPL13 was found associated with cells invasion, and the expression ofMRPL13 in metastatic BC was significant higher than in primary BC.
Conclusion: We proposed MRPL13 could be a potential novel biomarkerfor the metastasis and prognosis of breast cancer.
Experience and perception of peer assessment: findings from a higher education health students’ study
Authors: Anna Ramon-Aribau , Meritxell Mondejar-Pont , Cristina Vaqué-Crusellas , Ester Goutan-Roura , Montserrat Serra Mas , Ricard Castro-Prat , María Navarrete-Muñoz Eva , Desirée Valera-Gran 
Published: May 2024

Abstract

Feedback and peer assessment are some of the most powerful educational tools for improving learning and increasing student performance. However, their impact can be positive or negative depending on their quality and the opportunity provided. This study seeks to analyse the perception of peer assessment among university healthcare students in relation to their learning experience. A cross-sectional design was used with students from physiotherapy, nursing, human nutrition and dietetics and occupational therapy. 630 students answered the questionnaire used. A total of 85% of respondents reported having participated in peer assessment activities and usually their first experience happens at the university level. Students generally hold positive views on peer assessment, agreeing that is useful for improving their learning and that promotes student engagement. They expressed a moderate confidence in their ability to provide high-quality feedback and less confident in its effectiveness for improving their peers’ work. Finally, they exhibited positive views on the importance of providing constructive feedback and effectively handling critical peer feedback and utilizing peer feedback for self-improvement.
In conclusion, it is important to understand students' prior experiences with different teaching methodologies. Educators need to acknowledge the diverse learning backgrounds, practices, and values that students bring from previous educational experiences. Recognizing these values and practices is essential for effectively tailoring teaching methods. Additionally, these findings highlight the unique impact of teaching methods in certain disciplines, such as healthcare. Methods like peer assessment can significantly influence students' professional development and future practice within these specialized fields.
Keywords: peer assessment, health studies, higher education, professional development
On Dealing with Multicollinearity Using New Hybridized Regression Model
Authors: Jaisankar R. , D Victorseelan 
Published: May 2024

Abstract

Background
Multicollinearity is a serious problem to be considered while performing the multiple regression analysis and so also the multiple logistic regressions. The presence of Multicollinearity leads to several consequences which makes the purpose of regression analysis futile. To address the problem of Multicollinearity, several remedies like Ridge regression or Factor Analysis are suggested.
Methods
This article describes an alternative procedure which is potential enough to deal with Multicollinearity which encompasses two different statistical procedures, viz., Statistical Discriminant Analysis and Logistic Regression, and hence may be called Hybridized-LR.
Results
The suggested method shows high potentiality in terms of accuracy measures when compared with all other algorithms, which is substantiated by the application based on the data collected on chronic kidney disease.
Densely Populated Macrocyclic Dicobalt Sites in Ladder Polymers for Ultralow Overpotential Oxygen Reduction Catalysis
Authors: Liu Xikui , Liu Xikui , Zhang Zhen , Zhang Zhen , Xing Zhenyu , Xing Zhenyu , Xianglin Luo , Xianglin Luo , Cheng Chong , Cheng Chong 
Published: May 2024

Abstract

Dual-atom catalysts (DACs) with synergetic dinuclear active sites, have the potential to break the linear scaling relationship of the well-established single-atom catalysts for oxygen reduction reaction (ORR); however, the design of DACs with rationalized local microenvironment for high activity and selectivity remains a blind area and is great challenge. Herein, we reported a design of bisalphen ladder polymer with well-defined densely populated binuclear cobalt sites that in suit growth on Ketjenblack substrates (CoCo-BiSalphen@KB). The strong electron coupling effect between the fully-conjugated ladder structure with carbon substrates induces the low-to-high spin transition for the 3d electron of Co(II), activating O-O bond through the side-on overlapping and enhancing the electron transfer between the cobalt center and reactants/intermediates. In situ techniques and density functional theory calculations revealed the dynamic evolution of Co2N4O2 active sites and reaction intermediates. In alkaline conditions, the catalyst presented impressive ORR activity featuring an ultrahigh onset potential of 1.10 V and a remarkable half-wave potential of 1.00 V, insignificant decay after 30,000 cycles, which pushes the overpotential boundaries of ORR electrocatalysis to an unprecedented low level. This work provides a new platform for designing high-efficiency dual atom catalysts with well-defined coordination and electronic structures in energy conversion technologies.