bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diseminasi Teknologi Produksi Agens Hayati sebagai Solusi Alternatif dalam Produktivitas Buah Naga
Authors: Mustaniroh Siti Asmaul , Sunyoto Nimas Mayang Sabrina , Yulianingsih Rini , Zahro Frelyta Ainuz , Andriani Ria Dewi , Kirana Wahyu Candra 
Published: September 2024

Desa Sarongan merupakan salah satu desa penyangga Taman Nasional Meru Betiri di Kabupaten Banyuwangi yang telah melakukan pemberdayaan masyarakat berbasis komoditi bahan baku lokal. Kabupaten Banyuwangi merupakan penghasil buah naga terbesar di Indonesia dengan luar areal tanaman buah naga sebesar 3.786 hektar dengan produksi mencapai 82.544 ton per tahun. Sistem budidaya saat ini ditopang oleh lampu-lampu Ultraviolet (UV) pada malam hari untuk merangsang pembungaan sehingga menghasilkan peningkatan produktivitas buah naga. Total produktivitas buah naga di desa Sarongan berkisar 2.350 ton per tahun. Namun, produktivitas buah naga semakin menurun mencapai 60% dalam 2 tahun terakhir. Penurunan terjadi dari 6 ton/ha menjadi 2 ton/ha. Tujuan kajian ini adalah diseminasi teknologi perbanyakan agens hayati serta fasilitasi peralatannya sehingga siap diimplementasikan pada petani buah naga yang bersifat proven technology bagi masyarakat. Bimtek perbanyakan agens hayati dilakukan pada kelompok Mitra Tani Betiri menggunakan isolate Trichoderma sp., Azotobacter sp., Beauveria bassiana, dan Pseudomonas fluorescens. Hasil pengujian laboratorium Fakultas Pertanian tentang identifikasi dan populasi mikro menunjukkan jumlah populasi pada Azotobacter sp. sebesar 1,1 x 106 serta Pseudomonas fluorescens sebesar 4,1 x 107 dengan metode uji Total Plate Count dan Selective Medium. Kondisi ini menginformasikan bahwa hasil perbanyakan kultur agens hayati ini sudah layak untuk diimplementasi dalam budidaya buah naga. Penggunaan kompos yang dicampur agens hayati akan meningkatkan manfaatnya pada tanaman.
Cortical and subcortical glial cells undergo rapid changes following acute chemogenetic manipulation of a subpopulation of layer 5 projection neurons
Authors: Vadisiute Auguste , Meijer Elise , Therpurakal Rajeevan , Mueller Marissa , Szabó Florina , Messore Fernando , Jursenas Alfonsas , Krone Lukas , Mann Edward , Vyazovskiy Vladyslav , Hoerder-Suabedissen Anna , Molnar Zoltan 
Published: September 2024

Abstract

Communication between neurons and glial cells are crucial to establish and maintain brain function. Some of these interactions are activity-dependent, yet it remains unexplored how acute changes in neuronal activity affect neuron-to-glial dynamics. Here, we use excitatory and inhibitory designer receptors exclusively activated by designer drugs (DREADD) based chemogenetic methods to study the effects of acute manipulations of a subpopulation of layer 5 cortical projection and dentate gyrus neurons in adult (Rbp4Cre) mouse brain after 90 minutes. We show that acute chemogenetic neuronal activation leads to microglia hyperactivation, reactive astrogliosis, increased parvalbumin expression in interneurons and lower synaptic marker expression. Whereas acute chemogenetic ‘silencing’ of the same neurons reduce microglia activity, inhibit astrocytic reactivity, increase synaptic density, but has no effect on parvalbumin expression. Acute changes in neuronal activity elicit rapid effects on the interactions between glial cells, glutamatergic and GABAergic neuronal networks.
Seismic Vulnerability Assessment of Skewed Concrete I-girder Bridges Considering Various Structural Systems
Authors: Kiarad H. , Memarpour M.M. , Soltanieh S. , Mergos P.E. 
Published: September 2024

Abstract

Variation in the type of structural system (bent-to-deck connection) not only significantly impacts the seismic performance of regular bridges but also adds complexity when skewness irregularity is involved. Previous studies have separately evaluated the impact of either the type of structural system or skewness on the vulnerability assessment of bridges. The present study examines, for the first time, the combined effects of structural systems and skew angles on the seismic response of multi-span reinforced concrete I-girder bridges. For this purpose, two prevalent superstructure systems, namely, multi-span simply supported and multi-span continuous, are considered. For each system, the boundary condition at superstructure-substructure interface is modeled assuming elastomeric bearings with steel dowels. In the case of the multi-span continuous system, two more commonly applied types of bent-to-deck connection are considered, including pinned connectivity and elastomeric bearings without steel dowels. To account for the irregularity, five skew angles ranging from 0° to 60° are also considered. Probabilistic seismic demand models are developed for key components, such as columns and bearings, and fragility curves are generated. It is observed that superstructure skewness may reduce the sensitivity of column response to variations in the structural bridge systems by up to six times compared to regular counterparts.
The Return Period Analysis of Heavy Rainfall Disasters Based on Copula Joint Statistical Modeling
Authors: liu siyu , dong xuguang 
Published: September 2024

Abstract

In the last few years, with the frequent occurrence of extreme weather across the globe, it has become clear that a comprehensive understanding of the patterns and main characteristics of disaster occurrence is essential, and the willingness to study these variables has become more urgent than ever. This paper analyses the multivariate and spatial distribution characteristics of heavy precipitation disasters and proposes a method for estimating the degree of disaster-causing risk using a joint statistical model. This paper tests the model's validity with hourly precipitation data from 122 national meteorological stations in Shandong from 1990 to 2023. Based on heavy precipitation events in the past thirty years, different marginal distribution functions fit the duration of heavy precipitation and precipitation amount. The joint probability distribution model of two related variables is established based on the Copula joint distribution to analyze the change rule of heavy precipitation recurrence period in different periods and to analyze the characteristics of heavy precipitation causing disasters in Shandong Province on this basis. Compared with the disaster return period calculated by relying on univariate variables, the Copula function can more reasonably simulate the natural occurrence of the degree of disaster. This method can more scientifically describe the risk of disasters caused by heavy precipitation in different scenarios, especially the characteristics of disasters caused by short-term heavy precipitation, which can provide an adequate scientific basis for disaster prevention and mitigation planning and disaster risk management.
The Diagnostic Value of Serum EFNA1 in Patients with Colorectal Cancer
Authors: Xie Jian-Jun , Su Qi-Xin , Zheng Ze-Jun , Xie Ying-Hua , Chu Ling-Yu , Lin Yi-Wei , Liu Yin-Qiao , Peng Yu-Hui , Xu Yi-Wei , Li Xin-Xin 
Published: September 2024

Abstract

Background
Colorectal cancer (CRC) is one of the most common malignant tumors worldwide, with a high incidence rate and mortality. The analysis of serum biomarkers for colorectal cancer diagnosis has attracted more and more attention because of its low cost, repeatability, and quantification. This study was aimed to evaluate the diagnostic performance of serum Ephrin A1 (EFNA1) in patients with CRC.
Material and Methods
We retrospectively analyzed CRC cases in a test cohort (121 patients and 108 controls) and validated them in a validation cohort (119 patients and 118 controls). The concentration of EFNA1 in serum was detected by Enzyme-linked immunosorbent assay (ELISA) and the diagnostic performance of serum EFNA1 was evaluated by receiver operating characteristic (ROC) analysis.
Results
In the test cohort, serum EFNA1 levels in patients with all-stage CRC and early-stage CRC were significantly higher than those in healthy controls. The area under the ROC curve (AUC), sensitivity and specificity of all-stage CRC and early-stage CRC were 0.709 (95% CI: 0.644–0.775) and 0.660 (95% CI: 0.530–0.790), 48.76% and 45.00%, 81.48% and 81.48%, respectively. Similar results were observed in the validation cohort and combination cohort.
Conclusion
Serum EFNA1 might be served as a potential biomarker in the diagnosis of CRC.
Magnetic anchors with line-guided endoscopic full-thickness resection for gastric submucosal tumors
Authors: Zhang Xueyan , Hongli Wang , He Chen , Cui Lin , Zhang Yanshun , Qu Bo 
Published: September 2024

Abstract

The advantage of endoscopic submucosal dissection (ESD) is the ability to achieve high R0 resection and a low local recurrence rate [1]. Endoscopic full-thickness resection (EFTR) compensates for the deficiency of ESD, and it can treat more ailments [2]. However, due to the requirements of EFTR for endoscopic resection experience and defect closure skills, the operation is relatively difficult, which is the greatest obstacle to the widespread clinical use of EFTR[3]. Here, we propose a useful method—a magnetic anchor with line guidance (MALG-EFTR). In addition, the device provides satisfactory tissue tension within the submucosa, facilitates visualization of the dissection plane, strengthens counter traction and reduces the difficulty of surgery during EFTR. MALG-EFTR can effectively prevent the magnetic anchor from falling off or remaining in the abdominal cavity or digestive tract, which facilitates the recovery of specimens. Therefore, this technique might reduce procedure time and increase the stabilization and safety of operations.
Ambivalent ageism and the pains and gains of informal caregiving for older adults: Findings from Germany
Authors: Zwar Larissa , König Hans-Helmut , Delfin Emily , Hajek André 
Published: September 2024

Abstract

Background and Objectives:
We analyzed the associations between ambivalent ageism, burden and positive experiences of care among informal caregivers of older adults (aged ≥ 60 years), to advance our understanding of its so far unknown role as psychosocial risk or resilience factor for informal caregivers.
Design and Methods:
Data of 433 informal caregivers (≥ 18 years) of adults with care needs (≥ 60 years) from the Attitudes towards Informal Caregivers (ATTIC) project was used. The Ambivalent Ageism Scale, Positive Aspects of Care Scale and the Burden Scale for Family Caregivers were used. Linear regression analyses adjusted for context and personal factors were conducted, including age and gender as moderators in additional tests.
Results
High ageism (total score) was significantly associated with a high level of positive aspects of care and burden. Further analyses showed a significant positive association between benevolent ageism and positive aspects of care, while stronger hostile ageism was associated with less positive aspects of care. Hostile ageism was also significantly associated with more burden, while benevolent ageism and burden were not associated. Additional analyses indicated no moderation by gender, but by age. The association between hostile ageism and burden was weaker with caregivers’ higher age.
Discussion and Implications:
Findings highlight the complex associations between ageism and caregivers’ well-being. While hostile ageism and worse caregiver burden were associated, positive care experiences seemed to benefit from benevolent ageism. Considering the danger of benevolent ageism for older adults’ well-being, this raises the question how to manage benevolent ageism among informal caregivers.
Quantitative Optimization of Heating Element for Enhanced Temperature Uniformity in an Embryo Chamber
Authors: Song Yu , Zeng Weijun , Xiao Donggen , Zhao Zhenying , Sun Haixuan 
Published: September 2024

Abstract

In assisted reproductive technology (ART), maintaining a uniform temperature field within the culture space is critical for ensuring consistent embryo development quality. Traditional heating element designs often overlook the heat transfer characteristics of the system, resulting in significant temperature variations across the culture space. This study introduces a quantitative optimization approach for heating element, focusing on metal foil as a case study, to enhance temperature uniformity in the embryo chamber. A fluid-structure coupled heat transfer model was developed, and numerical simulations were conducted to analyze temperature distributions under various heating element layouts and parameters. After achieving heat transfer equilibrium, the culture chamber structure was segmented into multiple isothermal regions, applying the law of energy conservation to establish the relationship between changes in heating element resistance and temperature within each region. Adjusting the length or width of the metal foil in different areas optimized the temperature distribution of the overall structure, thereby improving the uniformity of the temperature field within the embryo chamber. Experimental results suggest that the optimized heating element reduce the temperature gradient within the culture chamber from 0.5 ℃ to less than 0.1 ℃, offering robust technical support for enhancing embryo development quality and consistency.
Hematological and biochemical profiles, infection and habitat quality in an urban rat population
Authors: Carvalho-Pereira Ticiana , Pedra Gabriel G. , de Oliveira Daiana S. , Souza Fabio N , Zeppelini Caio G. , Santos Luana R. N. , Couto Ricardo D. , Bahiense Thiago C. , Silva Eduardo M. da , Begon Michael , Reis Mitermayer Galvão , Ko Albert I. , Childs James E. , Costa Federico 
Published: September 2024

Abstract

Host condition is key in understanding disease dynamics. In an urban population of Rattus norvegicus, we aimed to assess whether infection of Leptospira interrogans and helminths was associated with patterns of host hematological and hormone-biochemical stress-related conditions. Rat kidney imprints and urine were used to identify and quantify L. interrogans, and feces samples for helminth eggs and corticosterone metabolites. Blood samples were taken for complete blood counts and specific biochemicals in rats’ sera. Principal Component Analyses were performed to check whether rats would be grouped according to health profiles. We obtained hematological and hormone-biochemical data from 95 and 61 rats, respectively. Hematological PCA revealed distinct rat groups: typical (T), eosinophil deficient (Eos-D), eosinophil- and monocyte- deficient (EM-D) and monocyte deficient with high immature neutrophils (Mon-D). No association between L. interrogans or helminths and rat health profiles was observed, except with Trichiuridae, which mean intensity was significantly higher when all deficient groups were pooled together compared to the T-group. The poorest condition group was found in areas with fewer rat burrows than the T-group, indicating EM-D had a reduced ability to occupy “good” quality habitats. In natural populations, hematological profiles may reflect host's overall condition, instead of responses to specific infections.
Optimizing Heart Disease Prediction: ESAPSO-BP Neural Network Algorithm Integration for Enhanced Accuracy and Robustness
Authors: Meng LingHui , Wang Yanglin , Zhong Wen , Li Chengjie 
Published: September 2024

Abstract

Heart disease is a major problem plaguing human beings, especially the middle-aged and elderly people. In the world, the incidence of heart disease is high. In the era of artificial intelligence, through machine learning algorithms, people can build models according to various modal characteristics of patients to predict the disease, so as to assist doctors to make judgments about the condition of patients. Aiming at the problem that the accuracy of heart disease prediction model is not high, this paper proposes an ESAPSO-BP neural network algorithm combining particle swarm optimization algorithm and simulated annealing algorithm, and introducing particle elimination strategy. In order to compensate for the lack of feature selection,we use One-hot coding and PCA technology to select features. After the verification of two data sets, UCI and Kaggle, the accuracy of our proposed method on the two data sets reaches 93.22% and 95.20% respectively, which has high accuracy and robustness, especially in small samples. The model can provide help for doctors and patients to predict and treat heart disease.
The impact of providing care and practical help in mid-life on employment transitions in Europe
Authors: Spijker Jeroen , Damme Maike van , Arpino Bruno 
Published: September 2024

Abstract

In this paper, we examine how non-formal caregiving affects one’s ability to work. We compare care regimes to see if contextual differences in labour market transitions relate to non-formal caregiving patterns among mid-life adults (50–64 years). Using the Survey of Health Ageing and Retirement in Europe (SHARE) from 2004–2017, we assess whether non-formal caregiving reduces one’s ability to maintain the same working hours. Specifically, we estimate probabilities of reducing working hours, exiting the labour market, and retiring as possible labour market changes compared to continuing to work. We also split analyses by gender, income, wealth, and compare care regimes to ascertain how the labour force participation is affected when persons become carers during the observed panel period. Overall results show that retiring is the most likely transition among all caregiving categories. More specifically, women and low-income and low-wealth co-resident caregivers in so-called medium defamilialism/supported familialsm care regime countries are more likely to reduce working hours, suggesting an income effect. Regarding labour market exit, no significant overall effect was found, although exit was less likely among men in family-by-default (FbD) regime countries when care took place outside their own household. Similar results were observed among middle-income households in FbD regimes, suggesting a possible substitution effect. To conclude, our findings indicate that non-formal caregiving significantly influences labour market transitions, with notable differences across gender, income levels, and care regimes. These insights highlight the need for policies that support caregivers in maintaining their employment, especially in contexts where familial caregiving is prevalent.
Isolated foveal hypoplasia in a diabetes patient: a case report
Authors: Wang Yifan , Dong Zhaoyang , Yin Zhuojun , Chen Xi 
Published: September 2024

Abstract

Isolated foveal hypoplasia is a rare cause of visual loss. Here, we report the unusual clinical presentation of a 61-year-old Chinese men who presented with hard exudates of low density in the temporal retina, absent foveal reflex, and foveal hypoplasia. The best corrected visual acuity (BCVA) was 0.9 and 0.7 (right and left eye respectively). This case highlights the importance of multicolour imaging to help distinguish or study isolated foveal hypoplasia.
Adjustable current-responsive photoswitches based on azobenzene derivatives
Authors: Zhang Kai , Lin Xiaoman , Wang Tongyu , Qiao Yu , Xie Yihui , Chen Jian , Wang Jiaoyu , Jia Zhongfan , Zhang Li 
Published: September 2024

Abstract

Azobenzene (AB) undergoes a light-driven trans/cis (E/Z) isomerization, molecular shape and polarity changes making it a prominent molecular photoswitch. However, the challenges in quantitative measuring its shape and polarity change have limited the development of these photoswitches to applications in binary outputs. In this work, we show that the E-to-Z isomerization promotes the diffusion of Z-AB, leading to an increase of the diffusion-limited steady-state current (iL) in chronoamperometric processes. Moreover, the magnitude of iL and current transition rates could be fine-tuned by varying the substituents at the 4 and 4' position on the azobenzene. Based on this discovery, we design and synthesize a series of azobenzene derivatives. These compounds exhibit a variety of current response amplitudes (50–220 µA) and switching times (20–60 seconds to reach equilibrium). Molecular Dynamics simulations and Density Functional Theory calculations indicate that the more polar Z isomer has a stronger interaction with the solvent molecules, which enables better solvation and ultimately, promotes faster diffusion. It is envisaged that these multilevel azobenzene photoswitches could provide a platform for future applications in (photo)electrochemical catalysis and sensors.
Translation and Validation of the Premenstrual Symptoms’ Questionnaire in Mongolian language: A cross- sectional Study Among Nursing School students
Authors: Choijiljav Dorjderem , Sukhbat Tuya , Ogawa Shota , Yanjmaa Enkhjargal , Badamdorj Oyungoo , Saito Asuka , Arai Yoko , Shinozaki Hiromitsu 
Published: September 2024

Abstract

Background
Premenstrual disorders (PMDs) significantly affect women’s daily lives. This study evaluated the reliability and validity of the Mongolian-translated Premenstrual Symptoms Questionnaire (PSQ) among female nursing students at the Mongolian National University of Medical Sciences.
Methods
This cross-sectional study was conducted from October 2022 to January 2023. The PSQ was translated into Mongolian and its reliability and validity were assessed. A total of 431 participants completed the PSQ along with the Premenstrual Dysphoric Disorder (PMDD) Scale, Somatic Symptom Scale (SSS-8), Patient Health Questionnaire (PHQ-9), and Beck Anxiety Inventory (BAI). The reliability was evaluated using Cronbach's alpha for internal consistency. The validity was assessed using factor analysis and correlations with external measures.
Results
The internal consistency of the Mongolian PSQ is 0. 945. Factor analysis supported the tool’s construct validity, revealing a one-factor structure consistent with that of the original Japanese PSQ. The PSQ showed strong positive correlations with the PMDD Scale (r = 0.760), SSS-8 (r = 0.640), PHQ-9 (r = 0.580), and BAI (r = 0.620), indicating good convergent validity.
Conclusion
The Mongolian-translated PSQ is a reliable and valid tool for assessing premenstrual symptoms in female nursing students. These findings suggest that the PSQ is a useful tool for screening for PMDs in this population.
MRI-based radiomics model for the preoperative prediction of classification in children with venous malformations
Authors: Jiao Bingxuan , Wang Liang , Zhang Xin , Niu Yanli , Li Jing , Liu Zhuang , Song Dan , Guo Lei 
Published: September 2024

Abstract

Background: Venous malformations (VMs) are the most common congenital vascular anomalies. The role of radiomics in prediction of VMs digital subtraction angiography (DSA) classification is still unknown.
Objective: This study aimed to explore the efficacy of MRI-based radiomics models, employing various machine learning techniques, in the preoperative prediction of the DSA classification of VMs.
Materials and methods: In this retrospective study, 160 VMs lesions from 153 children patients were categorized into a training set (n=128) and a testing set (n=32). Radiomic features were extracted from preoperative MRI scans. Feature selection was executed using the intraclass correlation coefficient test, z-scores, the K-best method, and the least absolute shrinkage and selection operator. Diverse MRI sequences and machine learning methods underpinned the development of the radiomics models. The models' efficacy was evaluated using receiver operating characteristic curves and the area under the curve (AUC).
Results: Out of 4528 radiomic features derived from CET1 and T2 images, 9 features were significantly associated with DSA classification differentiation. The most effective model for predicting VMs' DSA classification incorporated these 9 features and employed a random forest classifier. This model achieved an AUC of 0.917 in the training set and an excellent discrimination AUC of 0.891 in the testing set.
Conclusion: The random forest model, utilizing CET1 and T2 sequences, exhibited outstanding predictive performance in the preoperative distinction of VMs' DSA classification.