bluuebunny/crossref_metadata_2025_split huggingface dataset:
Urban-rural Difference of the Impact of the Accessibility of Community Elderly Care Services on the Quality of Life of the Elderly from the Perspective of Social Support
Authors: Di Xiaodong , wang li jian 
Published: March 2024

Abstract
Background: In China, the population aging is becoming more and more serious. The differences in economic development level, public facilities supply, and community elderly care culture make the urban-rural differences in community elderly care services particularly prominent, which seriously limits the quality of life of the elderly.
Method: Based on the survey data of Shaanxi province and the ordinal logistic regression method, the article analyzes the index system and measurement results of the accessibility of community elderly care services, and explores the urban-rural differences of impact of accessibility on the quality of life of the elderly from the perspective of social support.
Result: The accommodation of community elderly care service has a significant positive impact on the social relationship of the urban elderly, while the five dimensions of the accessibility of elderly care services have no significant impact on the social relationship of the rural elderly.
Conclusion: The urban-rural differences of the impact are mainly reflected in the two aspects of accommodation and affordability. Government support and social organization support are the main reasons for the heterogeneity of the impact of the accessibility of elderly care services on the quality of life of the elderly between urban and rural areas.
Multi-Step Intelligent P-phase Picking Model for Risk Assessment in Deep Underground Mines
Authors: Zhang Yongshu , Li Lianchong , Mu Wenqiang , Dang Baoquan , Wei Tingshuang , Guofeng Yu 
Published: March 2024

Abstract

Accurate P-phase first arrival time is a premise for improving accuracy of seismic source localizations and achieving hazard warning. Traditional algorithms failed to meet the requirements of high precision and accuracy for microseismic (MS) monitoring in deep geological engineering. In this study, a multi-step model: convolutional neural network combined with K-means and AIC (CNN-KA) for picking arrival of P-phases is proposed. Firstly, convolutional neural network (CNN) technique is used to recognize waveforms of MS fractures. Secondly, maximum overlapping discrete wavelet transform and multi-resolution analysis are combined to denoise signals. Subsequently, a new picker was developed by introducing k-mean clustering to AIC. Finally, performance of the hybrid model was evaluated with open-source and field data. The results show that mean absolute error of CNN-KA is 0.0915s at 200Hz frequency, which is 86.65% lower than STA/LTA. In addition, a strategy is proposed to evaluate real-time mining risk by improving MS source location. An application in Pan Er Mine, Anhui Province, China showed that automatic location error of MS events was reduced from 37.33 m to 10.89 m. CNN-KA successfully warned of two potential geological hazards, which was verified by real-time mining pressure data. The proposed model greatly improves accuracy of p-phase arrivals and MS parameters. This study is of great value for early warning of geological hazards in underground geotechnical engineering.
Network-based integration of omics, physiological and environmental data in real-world Elbe estuarine Zander
Authors: Koll Raphael , Theilen Jesse , Hauten Elena , Woodhouse Jason , Thiel Ralf , Möllmann Christian , Fabrizius Andrej 
Published: March 2024

Abstract

Coastal and estuarine environments are under endogenic and exogenic pressures jeopardizing survival and diversity of inhabiting biota. Information of possible synergistic effects of multiple (a)biotic stressors and holobiont interaction are largely missing in the Elbe estuary but are of importance to estimate unforeseen effects on animals’ physiology. Here, we seek to leverage host-transcriptional RNA-seq and gill mucus microbial 16S rRNA metabarcoding data coupled with physiological and abiotic measurements in a network analysis approach to deconvolute the impact of multiple stressors on the health of juvenile Sander lucioperca along one of the largest European estuaries. We find mesohaline areas characterized by gill tissue specific transcriptional responses matching osmosensing and tissue remodeling. Liver transcriptomes instead emphasized that zander from highly turbid areas were undergoing starvation which was supported by compromised body condition. Potential pathogenic bacteria, including Shewanella, Acinetobacter, Aeromonas and Chryseobacterium, dominated the gill microbiome along the freshwater transition and oxygen minimum zone. Their occurrence coincided with a strong adaptive and innate transcriptional immune response in host gill and enhanced energy demand in liver tissue supporting their potential pathogenicity. Overall, we demonstrate the information gain from integration of omics data into biomonitoring of fish and point out bacterial species with disease potential.
An IFNγ-dependent immune-endocrine circuit lowers blood glucose to potentiate the innate anti-viral immune response
Authors: Polic Bojan , Šestan Marko , Benić Ante , Mikašinović Sanja , Dimitropoulos Christoforos , Krapić Mia , Hiršl Lea , Cekinović Đurđica , Wensveen Tamara Turk , Babić Marina , Wüest Stephan , Konrad Daniel , Wensveen Felix , Mladenić Karlo , Glantzspiegel Yossef , Rasteiro Ana , Aliseychik Maria , Gat-Viks Irit , Veiga-Fernandes Henrique 
Published: March 2024

Abstract

Viral infection makes us feel sick. The extent of these changes to our metabolism are relative to the severity of disease. Whether blood glucose levels are subject to infection-induced modulation is largely unknown. Here we show that strong, non-lethal infection restricts systemic glucose availability which promotes the antiviral IFN-I response. Following systemic viral infection of mice, we find that IFNγ produced by γδ T cells directly stimulates pancreatic β-cells to increase glucose-induced insulin release. Subsequently, hyperinsulinemia lessens endogenous glucose output by the liver. Glucose restriction enhances type-I interferon production by curtailing lactate-mediated inhibition of IRF3 and NF-κB signaling. Induced hyperglycemia constrained IFN-I production and increased mortality upon infection. Our findings identify glucose restriction as a physiological mechanism to bring the body into a heightened state of responsiveness to viral pathogens. This immune-endocrine circuit is disrupted in hyperglycemia, which explains why people with metabolic disease are more susceptible to viral infection.
Body temperature regulates glucose metabolism and torpid behavior
Authors: Lee Ming-Liang , Chang Ching-Pu , Toda Chitoku , Nemoto Tomomi , Enoki Ryosuke 
Published: March 2024

Abstract
Glucose is a significant energy resource for maintaining physiological activities, including body temperature homeostasis, and glucose homeostasis is tightly regulated in mammals. Although ambient temperature tunes glucose metabolism to maintain euthermia, the significance of body temperature in metabolic regulation remains unclear owing to strict thermoregulation. Activation of Qrfp neurons in the preoptic area induced a harmless hypothermic state known as Q-neuron-induced hypothermia and hypometabolism (QIH), which is suitable for studying glucose metabolism under hypothermia. In this study, we first observed that QIH mice had hyperinsulinemia and insulin resistance. This glucose hypometabolic state was abolished by increasing the body temperature to euthermia. Moreover, QIH-mediated inappetence and locomotor inactivity were recovered in euthermia QIH mice. These results indicate that body temperature is considerably more powerful than ambient temperature in regulating glucose metabolism and behavior, and hypometabolism in QIH is secondary to hypothermia rather than modulated by Qrfp neurons.
Fluctuations of conserved charges with finite size PNJL model
Authors: Deb Paramita , Varma Raghava 
Published: March 2024

Abstract

Baryon, charge and strangeness fluctuations have been investigated in finite size Polyakov loop enhanced Nambu–Jona-Lasinio model. Multiple reflection expansion method has been incorporated to include the surface and curvature energy alongwith the system volume. The results of different fluctuations are then compared with the available experimental data from the heavy ion collision. Results show both qualitative and quantitative similarities with the experimental data after using the subensemble acceptance method. Phase diagram for the infinite and finite size PNJL model has been studied to estimate the critical end point.
PACS numbers: 12.38.AW, 12.38.Mh, 12.39.-x
Comparative Effects of 17% Ethylenediaminetetraacetic Acid and 9% Etidronic Acid Applied with Different Irrigant Activation Techniques on the Release of Growth Factors from Dentin: In Vitro Study
Authors: Mumcu Arzu Kaya , Kurnaz Safa , Kiraz Gülsen , Gündüz Meliha Koldemir 
Published: March 2024

Abstract
Background Growth factors embedded in the extracellular matrix of the dentin play an important role in the migration, proliferation, and differentiation of dental pulp stem cells in regenerative endodontics. In regenerative endodontic treatments, the type of irrigation solution used is crucial for the release of growth factors (GFs) from the dentin matrix. This study evaluated the effectiveness of different irrigant activation techniques (IAT) using two different chelating agents, 17% ethylenediaminetetraacetic acid (EDTA) and 9% etidronic acid (HEDP), in terms of their GF release.Methods Seventy-two mandibular premolar teeth were prepared to simulate an open apex. The root fragments were irrigated with 20 ml of 1.5% sodium hypochlorite and 20 ml of saline solution. Eight root fragments were randomly separated for the control group, and the remaining 64 fragments were randomly separated into eight groups based on two different chelating agents (17% EDTA and 9% HEDP) and four different IAT (conventional needle irrigation (CNI), passive ultrasonic irrigation (PUI), sonic activation with EDDY, and XP-endo Finisher (XPF)). TGF-β1, VEGF-A, BMP-7 and IGF-1 release levels were determined using an ELISA, and statistical analysis was performed using the Kolmogorov–Smirnov test, ANOVA, and the Tukey test (p < .05).Results Compared to the control group, the experimental groups showed significantly higher GF release when using EDTA or HEDP. Among the activation groups, the EDDY group triggered the highest GF release, and the CNI group triggered the lowest.Conclusions IAT with EDTA and HEDP can increase GF release, with EDDY being the most effective IAT method. Using chelating agents with IAT may be beneficial in regenerative endodontic treatments.
Real-world evidence on treatment pattern, effectiveness, and safety of blinatumomab in Chinese patients with B-cell acute lymphoblastic leukemia
Authors: Zhou Huifen , Wu Xiaoxia , Yang Zhen , Lu Shenqi , Zhang Xinhui , Yang Xiaofei , Chen Suning , Wu Depei , Miao Miao 
Published: March 2024

Abstract

Background
Blinatumomab is efficacious in patients with B-cell acute lymphoblastic leukemia (B-ALL), yet limited real-world data exists in this context. This retrospective study provided real-world data on the treatment pattern, effectiveness, and safety of blinatumomab in Chinese patients with newly diagnosed (ND) and relapsed/refractory (R/R) B-ALL.
Methods
Patients with B-ALL who received at least one dose of blinatumomab in frontline or R/R settings between August 2021 and June 2023 were included. The primary outcome was the treatment pattern of blinatumomab. Key secondary outcomes included complete remission (CR)/CR with incomplete blood cell recovery (CRi) rate, minimal residual disease (MRD) negativity, median event-free survival (EFS), and safety.
Results
The study included 96 patients with B-ALL; 53 (55.2%) patients were in the ND group and 43 (44.8%) patients were in the R/R group. The median treatment duration was one cycle (range: 1–5). Most patients underwent chemotherapies, allo-HSCT, or experimental CAR-T following blinatumomab. The ND patients using blinatumomab induction therapy achieved 100% CR/CRi rate; 87.2% achieved MRD negativity within two cycles of blinatumomab. In R/R re-induction patients, the CR/CRi rate was 50%; MRD negativity rate was 64.2%. In R/R patients using blinatumomab for consolidation, MRD negativity rate was 90.9%. The median EFS was not reached in both ND and R/R patients; 1-year EFS rate was 90.8% (95% CI: 67%, 97%) and 55.1% (95% CI: 30%, 74%), respectively. Grade ≥ 3 adverse events were observed in 12.5% patients.
Conclusion
Blinatumomab was found to be effective with a tolerable safety profile in real world setting.
RETRACTED: A preliminary report to discern the association of SNPs rs1505287 and rs4858608 of THRB gene and their haplotype analysis with hypothyroidism and hyperthyroidism among Indian population: a case- control study
Authors: Kaur Manpreet , Tyagi Shama , Yadav Anita , Gupta Ranjan 
Published: March 2024

Abstract
The authors have requested that this preprint be removed from Research Square.
Planning-level optimisation of headway regularity
Authors: Pitka Pavle , Simeunović Milan , Miličić Milica , Kovačević Tatjana , Simeunović Milja 
Published: March 2024

Abstract

Headway variability has a negative impact on the public transport passengers' perception of service quality. However, most of the existing methods aimed at improving the headway regularity operate in real time and require precise vehicle location data, making it difficult to implement them in practice. On the other hand, planning-level methods can be used to increase the resilience of public passenger transport (PPT) to the accumulation of headway disturbances. As this is typically done from the operator's perspective, the passengers' perspective tends to be overlooked, motivating the current work. In this article, an optimisation procedure for evaluating the viability of diametrical line splitting in terms of passenger travel time and headway regularity is proposed. The aim is to increase the robustness/resistance of the PPT system to the propagation of headway disturbances without reducing the service quality. The developed optimisation procedure was validated by applying it to real data pertaining to an urban PPT line. The results show that there is a positive correlation between the transport demand and the effects of the optimisation procedure, whereby an increase in the primary headway disturbance increases the sensitivity of the optimisation procedure to the transport demand.
WO3 /CoWO4 /rGO high porosity anode electrode materials based on ZIF-67 framework
Authors: Wang Can , Yu Yongbo , Wang Qing , Dai Jianfeng 
Published: March 2024

Abstract

In this work, the high porosity of ZIF-67 frame was used to increase the infiltration degree of electrolyte, improve the diffusion rate of ions and inhibit the volume expansion of WO3/CoWO4 during the cycling process. The high conductivity of rGO was used to make up for the lack of conductivity of composite materials. At the current density of 100 mA g− 1, 507.8 mAh g− 1 specific capacity was retained after 100 cycles and 248.3 mAh g− 1 specific capacity was retained after 300 cycles at the current density of 800 mA g− 1.
Multi-Layer Perceptron and Radial Basis Function for Thyroid Disease Diagnosis
Authors: Samani Maryam Asad , Khazaee Fatemeh , Ebadollahi Saeed 
Published: March 2024

Abstract

Thyroid disease is a common health disorder that affect millions of people worldwide. Achieving an accurate diagnosis often involves conducting multiple laboratory tests. However, recent advancements in machine learning have demonstrated promising outcomes in extracting meaningful information from these tests and medical images. By leveraging machine learning techniques, healthcare professionals can enhance their ability to analyze and interpret the data obtained from these tests, leading to more accurate and efficient diagnoses of thyroid dis- eases. This paper proposes a method to enhance thyroid disease diagnosis by combining Multi-Layer Perceptron (MLP) and Radial Basis Function (RBF) neural networks. The proposed method utilizes thyroid-related features to categorize a patient’s status into hyperthyroidism, hypothyroidism, or normal. UCI Machine Learning Repository is used as the training dataset for this study. To ensure high accuracy, data is randomly fitted to both the MLP and RBF networks. Additionally, an adaptive learning rate is applied in the backpropagation training for MLP. This helps avoid local minimums and reduces loss fluctuations and divergence. On the other hand, RBF is trained using the K-means algorithm together with the RLS algorithm. Based on the results, MLP outperforms RBF when the patient’s status is A or B. However, RBF shows better detection when the patient’s status is C. Therefore, the highest accuracy is achieved when the network switches from MLP to RBF based on the patient’s status. Overall, this paper suggests that combining MLP and RBF neural networks can improve the accuracy of thyroid disease diagnosis, especially when considering different patient statuses.
I’m in! So why don’t I fit in? A cross-sectional exploration of imposterism within medical school cohorts
Authors: Clark Chantel , Clithero-Eridon Amy , Crandall Cameron , Ballejos Marlene P. 
Published: March 2024

Abstract

Background
Transitioning within medical school to new responsibilities and challenges represents a significant change in responsibility in the life of a physician. Many individuals in healthcare experience the imposter phenomenon, including medical students, fearing exposure as a fraud. Identifying when imposterism may peak during training, historical social determinants, and personal history that can lead to the overall imposter syndrome are critical, as during medical school, student wellness and professional identity typically decrease. This study aims to characterize the imposter phenomenon in medical students at a single institution as they transition from one academic year to the next.
Methods
This study is a cross-sectional observational design. We constructed a 30-item survey using the Clance Imposterism Scale survey and selected demographic characteristics. Indicators of interest include environment of upbringing, education, socioeconomic status, and race/ethnicity. We analyzed the data using Pearson’s Chi-Square and Fisher Exact tests and a two-tailed Type I error of less than 5% to assess statistical significance.
Results
Out of 387 students, we received 89 responses for a response rate of 23%. 4th-year medical students reported more feelings of imposterism at the frequent or intense level compared to the first three years. Females had frequent/intense levels of imposterism more than males or non-conforming individuals. More than three-fourths of individuals raised in rural areas experienced frequent to intense imposterism compared to those raised in a suburban or urban environment. Completing an undergraduate degree with dedicated mentoring from physicians did not ameliorate feelings of not belonging.
Conclusion
We characterized medical students by cohort to identify points of intervention. Our findings highlight the importance of addressing the imposter phenomenon, especially in environments like medical school, where the expectations to excel may be intense. Recognizing that certain groups, such as females, underrepresented minorities, and first-generation college students, may be more susceptible to these feelings is an important step toward providing support and resources tailored to their needs.
Experimental bifurcation analysis of a clamped beam with designed mechanical nonlinearity
Authors: Hayashi Seigan , Gutschmidt Stefanie , Murray Rua , Krauskopf Bernd 
Published: March 2024

Abstract
We use control-based continuation (CBC) to perform an experimental bifurcation study of a periodically forced dual-beam. The nonlinearity is of geometric nature, provided by a thin, clamped beam. The overall system exhibits hysteresis and bistability in its openloop frequency response due to a hardening, Duffinglike nonlinear stiffness, which can be designed or adjusted by choosing the properties of the thin beam. We employ local stabilising feedback control to implement CBC and track stable periodic solutions past the fold points. Thus obtained continuous solution branches are used to generate the solution surface over the plane of excitation amplitude and frequency. This surface features two curves of fold bifurcations that meet at a cusp point, and they delimit the experimentally observed bistability range of this nonlinear beam.
In steroid-resistant nephrotic syndrome that meets the strict definition, monogenic variants less common than previously reported
Authors: Ichikawa Yuta , Sakakibara Nana , Nagano China , Inoki Yuta , Tanaka Yu , Ueda Chika , Kitakado Hideaki , Kondo Atsushi , Ishimori Shingo , Horinouchi Tomoko , Iijima Kazumoto , Nozu Kandai 
Published: March 2024

Abstract

Background
In patients with steroid-resistant nephrotic syndrome (SRNS), the presence of monogenic variants influences therapeutic strategies. Large cohort studies reported the detection of monogenic variants in approximately 30% of patients with SRNS. However, these cohorts included many patients such as asymptomatic proteinuria who did not meet the strict diagnostic criteria for pediatric nephrotic syndrome (NS). Therefore, we investigated the proportion of causative monogenic variants detected in patients who strictly met the diagnostic criteria of SRNS and explored their clinical characteristics.
Methods
We examined pediatric SRNS cases with genetic analysis conducted in our hospital. Cases satisfying all of the following criteria were included: 1. age at onset 1–18 years, 2. serum albumin at onset ≤ 2.5 g/dl, and 3. no complete remission after 4 weeks of steroid monotherapy.
Results
The proportion of detected monogenic variants was 12% (22/185) among all patients. The proportion was only 7% (9/129) in patients with edema at disease onset compared with 38% (9/24) in those without (p < 0.0001). Monogenic variants were rare in patients with acute kidney injury associated with NS (1% [1/11]) or a history of complete remission (4% [2/51]).
Conclusions
Our study revealed a monogenic cause in 12% of individuals with strictly defined SRNS, a much smaller proportion than previously reported. The presence or absence of edema at the onset was an important factor to distinguish SRNS with monogenic cause from SRNS without. Our results provide further evidence of the SRNS types attributable to monogenic causes.