bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stereotactic body radiation therapy (SBRT) increases anti-PD-1 antitumor activity by enhancing the tumor immune microenvironment in mice with metastatic hepatocellular carcinoma
Authors: Xu Ke , Gu Tao , Su Ke , Guo Lu , Liu Xin , He Bingsheng , He Jie , Liu Hanlin , Xiao Rui , Chi Hao , Tang Xue , Ye Qinni , Zhou Xue , Liu Yingpeng , Xiong Jie , Wang Pan , Li Han , He Kun , Han Yunwei 
Published: July 2022

Abstract
Background: Whether stereotactic body radiation therapy (SBRT) can increase anti-PD-1 antitumor activity by enhancing the tumor immune microenvironment in mice with metastatic hepatocellular carcinoma Methods: Patients with metastatic HCC treated with intensity-modulated radiation therapy (IMRT) in combination with immunotherapy (n=13) were retrospectively analyzed by comparing its efficacy with that of immunotherapy alone (n=12) as well as untreated (n=20) patients with metastatic hepatocellular carcinoma. Animal experiments were also divided into a control group, a PD-1 antibody group, an SBRT group, and an SBRT combined with a PD-1 antibody group. The growth curves of body weight, irradiated tumor (the primary tumor), and non-irradiated tumor (secondary tumor) were plotted for each group of tumor-bearing mice. For this study, we used flow cytometry to examine effector CD8+ T cells expression in both irradiated and non-irradiated tumors, the CD4+ T and CD4+/CD8+ T cells ratio in the spleen, and used Elisa to analyze the concentrations of IFN-γ and IL-10 in serum. Tumors were additionally stained with immunohistochemistry Ki-67 and TUNEL. We used hematoxylin-eosin (HE) staining of kidney, liver, lung, heart, and spleen to assess the anti-tumor activity of each group of hormonal mice and their tolerance to determine the safety of the approach.Results: Clinical results: The median survival of IMRT+PD-1 group, PD-1 group, and control group were 17.5 months (95CI 13.2-21.8), 12.5 months (95CI 9.0-16.0), and 5.2 months (95CI 5.5-12.9), respectively (P < 0.001). SBRT combined with PD-1 antibody improved tumor control in both radiated and non-radiated tumors, resulting in a complete cure of the half of mice in animal studies. This was linked to an increased in CD8+ effector T cells infiltration triggered by radiotherapy. HE staining of mice in the SBRT combined with the PD-1 treatment group suggested no damage to the liver, spleen, lungs, kidneys, or heart.Conclusions: This study showed that SBRT, while being well-tolerated, significantly increased anti-PD-1 antitumor activity by enhancing the tumor immune microenvironment in mice with metastatic hepatocellular carcinoma without significant toxic side effects.
A multibiomarker approach to assess the ecotoxicological effects of diclofenac on Asian clam Corbicula fluminea (O. F. Müller, 1774)
Authors: Yuan Nan , Wu Jiasang , Zheng Mengyan , Wang Hongkai , Bao Erqin , Chu Yaoyao , Hu Fengxiao 
Published: July 2022

Abstract
Diclofenac (DCF), one of the most current and widely used nonsteroidal anti-inflammatory drugs (NSAIDs), has been frequently detected in aquatic environments worldwide. However, the ecotoxicological effects of DCF on freshwater invertebrates remain largely unknown. In the present study, Corbicula fluminea were exposed to environmentally relevant concentrations of DCF (0, 2, 20 and 200 µg/L) for 28 days, and the potential adverse effects of DCF on siphoning behavior, antioxidant responses and apoptosis were investigated. Our results showed that the siphon efficiencies of clams were significantly suppressed by DCF exposure. DCF exerted neurotoxicity via reducing the activity of acetylcholinesterase (AChE) in gills and digestive gland of C. fluminea. Exposure to DCF induced antioxidant stress and led to increased malondialdehyde (MDA) levels in both tissues of C. fluminea. Transcriptional alterations of apoptosis-related genes indicated that DCF might induce apoptosis by triggering mitochondrial apoptotic pathway. Our findings will help enhance our awareness of the negative effects of DCF on freshwater bivalves and highlight the ecological risks of DCF in freshwater ecosystems.
Identification of an Oncological Clinical Pathway through Questionnaires to health professionals
Authors: Forrester Mario , Breitenfeld Luiza , Castelo-Branco Miguel , Aperta Jorge 
Published: July 2022

Abstract
Background
Quality oncological care demands the joint effort from different healthcare professionals; therefore, Clinical Pathways could benefit a well-defined group of patients using organized interventions to standardize and increase care processes efficiency. The objective is to develop an integrated patient centered care based on evidence guidelines, patients feedback and best practices to facilitate communication and coordination between the multidisciplinary teams. Official health entities should have tools to identify their oncological clinical pathways for a better institutional organization while aiming to reduce mortality rates and contain costs without compromising the quality.
Methods
With the use of specifically designed questionnaires, we intended to identify a physical oncology clinical pathway. By determining the tumor staging at service arrival; time intervals on tumor suspicion/diagnosis confirmation and diagnosis/first treatment; referral pathway; diagnostic networks and patient Follow-up from a sample of nurses and physicians in a regional health unit, overseeing two regional hospitals (RHs) and 14 primary healthcare centers (PHCs) in a rural interior region in Portugal, we were able to determine and identify the oncology clinical pathway available to cancer patients in the region.
Results
Our findings point to different appreciations of tumor staging at arrival in PHCs and RHs (the latter receiving more metastatic cases); consensus of approximately 4 weeks between tumor suspicion-diagnostic and divided opinions regarding diagnostic-treatment time interval. Moreover, PHCs depend on private laboratories for their diagnostics confirmation, contrarily to the RHs which are resolved locally. Referral pathways indicate almost half of the patients being sent from primary healthcare centers to National Reference Hospitals instead of being treated at a Regional Hospital. Patient follow-up is carried out throughout the local health unit, however, is more developed at RHs. As patients advance through the clinical pathway and approach their treatment stages the number of healthcare professionals reduce leaving mostly Hospital staff involved in this phase and healthcare centers staff primarily involved in diagnostic stages.
Conclusion
Our questionnaires helped gain insight on the clinical pathway to not only illustrate it but also analyze important sections, strength of association between its parts and points of entry for patients into the healthcare system.
Addressing Misclassification Bias in Vaccine Effectiveness Studies with an Application to Covid-19
Authors: Eusebi Paolo , Speybroeck Nico , Hartnack Sonja , Staerk-Østergaard Jacob , Denwood Matthew D. , Kostoulas Polychronis 
Published: July 2022

Abstract
Safe and effective vaccines are crucial to control Covid-19 and to protect persons who are at high risk of complications or death. Test-negative design is a popular option for evaluating the effectiveness of Covid-19 vaccines, but the findings could be biased by several factors, including imperfect sensitivity and/or specificity of the test used for the SARS-Cov-2 infection.We propose a simple Bayesian modeling approach for estimating vaccine effectiveness that is robust even when the diagnostic test is imperfect.We use simulation studies to demonstrate this robustness to misclassification bias for estimating Covid-19 vaccine effectiveness, and illustrate the utility of our approach using real-world examples
A chemical defense deters cannibalism in migratory locusts
Authors: Hansson Bill , Chang hetan , Cassau Sina , Krieger Juergen , Guo Xiaojiao , Knaden Markus , Kang Le 
Published: July 2022

Abstract
Many animals engage in cannibalism to supplement their diets. In swarms of migratory locusts, cannibalism is prevalent and thought to be an important factor for swarm dynamics. We show that in dense swarms, locusts defend themselves by producing an anti-cannibalistic pheromone; phenylacetonitrile (PAN). Both the degree of cannibalism and the production of PAN are density dependent and co-vary. We identify the olfactory receptor responsible for the detection of PAN, and by using genome editing we show that by making this receptor non-functional we abolish the negative response to PAN. We also knock out the gene underlying PAN production and show that locusts lacking PAN lose its protection and are more frequently exposed to intra-specific predation. In conclusion, we reveal an anti-cannibalistic feature built on a specifically produced odor. The system is very likely of great importance in locust swarm dynamics and our results might therefore provide opportunities in locust management.
Feasibility of using the Metaverse as Telecardiology platform: Remote Follow-up of a patient with Vasospastic Angina
Authors: Skalidis Ioannis , Fournier Stephane , Hammilos Michael , Kaldasch Michael , Idrissi Ben El , Kirsch Matthias , Muller Olivier , Skalidis Emmanouil , Maurizi Niccolo 
Published: July 2022

Abstract
The metaverse has recently seen a surge of interest among numerous sectors, including healthcare, but it’s potential impact in patient care and disease diagnosis hasn’t been evaluated yet. We conducted the first medical act inside the metaverse by combining a virtual reality metaverse environment with existing telemedicine innovations, in order to perform a clinical and electrocardiographic follow-up of a patient presenting with vasospastic angina.
Development of Modified Cognitive Behaviour Therapy in Sri Lanka: a feasibility study
Authors: Rodrigo Asiri , Minas Harry , Newton Richard , de Zoysa Piyanjali 
Published: July 2022

Abstract
Introduction- Depression is an important public health issue in Sri Lanka with a high prevalence and significant burden. Depression is under-treated in Sri Lanka. Psychotherapy, an integral part of the treatment, is rarely practiced in the country, partly due to lack of culturally sensitive psychotherapies. Method- An experimental prospective study design was adopted to evaluate the feasibility and safety of modified cognitive behavioural therapy (CBT). Twelve consenting adult patients with depressive disorder received 6 sessions of modified CBT over 10 weeks and were followed-up for 16 weeks thereafter. Participants were assessed with Hamilton Depression (HRSD) and Beck Depression (BDI) and Global Assessment of Function (GAF) scales. Interviews were conducted with patients and clinicians regarding the acceptability of treatment. Results- Eleven out of 12 patients completed the treatment. HRSD, BDI and GAF scores improved significantly (p>0.05) from baseline to both week 10 and 26. All the patients believed that the psychotherapy was useful while all the clinicians reported modified CBT as being feasible and easily deliverable. Conclusion- Culturally modified CBT for depression is acceptable, feasible and probably effective.
High-throughput Li plating quantification for fast charging battery design
Authors: Konz Zachary , Wirtz Brendan , Verma Ankit , Huang Tzu-Yang , Bergstrom Helen , Crafton Matthew , Brown David , McShane Eric , Colclasure Andrew , McCloskey Bryan 
Published: July 2022

Abstract
Fast charging of most commercial lithium-ion batteries is limited due to fear of lithium plating on the graphite anode, which is difficult to detect and poses significant safety risk. Here we demonstrate the power of simple, accessible, and high-throughput cycling techniques to quantify irreversible Li plating spanning data from over 200 cells. We first observe the effects of energy density, charge rate, temperature, and State-of-Charge (SOC) on lithium plating, use the results to refine mature physics-based electrochemical models, and provide an interpretable empirical equation for predicting the plating onset SOC. We then explore the reversibility of lithium plating for varied deposition rates, amounts, and electrolyte compositions, applying our understanding towards development of electrolytes that reduce irreversible Li formation. Finally, we provide the first quantitative comparison of lithium plating in the experimentally convenient Graphite|Li cell configuration compared with commercially relevant Graphite|LiNi0.5Mn0.3Co0.2O2 (NMC). The hypotheses and abundant data herein were generated primarily with equipment universal to the battery researcher, encouraging further development of innovative testing methods and data processing that enable rapid battery engineering.
Abnormal variations of the four factors in osteoporotic fractures
Authors: Binwang  
Published: July 2022

Abstract
Objective: The classical osteoporotic signaling pathways include the four key factors (LRP5, Runx2, Osterix, and RANKL) influencing the regulation of osteogenesis and osteoclastogenesis. The purpose of this study is to investigate the variations of these four factors in bone specimens associated with fractures of osteoporotic rats. Methods: Osteoporotic rats as osteoporotic group were randomly divided into three groups: group A, group B and group C. Non-osteoporotic rats as control group were divided into three groups: A0, B0 and C0, using the same method. The rats were killed on the third day of fractures in groups A and A0, on the seventh day of fractures in groups B and B0 and on the fourteenth day of fractures in groups C and C0. The bone specimens were taken from the femur. The expression level of each factor in bone specimens was detected using RT-qPCR, Western blotting and immunohistochemistry. Results: LRP5, Runx2 and Osterix expressions were decreased in osteoporotic rat fractures and then increased with the increase in time. The expression of RANKL was elevated in osteoporotic rat bone specimens, and then after that, it keeps going up decreased. Conclusion: The four factors can inform on an ideal interventions in the prevention and management of osteoporosis.
Multi-omics assisted breeding for biotic stress resistance in soybean: challenges and opportunities
Authors: Bisht Ashita , Saini Dinesh Kumar , Kaur Baljeet , Batra Ritu , Kaur Sandeep , Kaur Ishveen , Jindal Suruchi , Malik Palvi , Sandhu Pawanjit Kaur , Kaur Amandeep , Gill Balwinder Singh , Wani Shabir Hussain , Kaur Balwinder , Sandhu Karansher , Siddique Kadambot H.M 
Published: July 2022

Abstract
Biotic stress is a critical factor limiting soybean growth and development. Soybean responses to biotic stresses such as insects, nematodes, and fungal, bacterial, and viral pathogens are governed by complex regulatory and defense mechanisms. Next-generation sequencing has availed research techniques and strategies in genomics and post-genomics. This review summarizes the available information on marker resources, quantitative trait loci, and marker trait associations involved in regulating biotic stress responses of soybean. We discuss the differential expression of related genes and proteins reported in different transcriptomics and proteomics studies and the role of signaling pathways and metabolites reported in metabolomic studies. Recent advances in omics technologies offer opportunities to reshape and improve biotic stress resistance in soybean by altering gene regulation and/or other regulatory networks. We recommend using ‘integrated omics’ to understand how soybean responds to different biotic stresses. We discuss the potential challenges of integrating multi-omics for functional analysis of genes and their regulatory networks and the development of biotic stress-resistant cultivars. This review will help direct soybean breeding programs to develop resistance against different biotic stresses.
Comparative study of soft computing models for prediction of scour below two symmetric crossing jets
Authors: Naini Shayan , Karami Hojat , Hosseini Khosrow 
Published: July 2022

Abstract
The scour estimation downstream of the dam’s hydraulic structures is a serious issue and has long been considered an important topic by hydraulic engineers. The literature shows that the computational methods are good alternatives for the prediction of the scour in various hydraulic structures in which the conventional methods demonstrate shortcomings. In the present paper, the different machine learning techniques have been used for the first time to predict the scour below the two symmetric crossing jets. Four different artificial neural networks (ANNs), including feed forward back propagation (FFBP), cascade forward back propagation (CFBP), radial basis function (RBF), generalized regression neural network (GRNN) along with the adaptive neuro-fuzzy inference system (ANFIS), and support vector regression (SVR) were employed and evaluated. Two important scour hole characteristics, namely the maximum scour hole depth, and its location relative to the scour hole origin, are predicted at different crossing angles. The soft computing models are also compared with the traditional empirical methods. The results indicate that the applied computing techniques perform satisfactorily and improve the results remarkably. They can estimate the scour more precisely than the regression models and can be considered robust alternative tools. A detailed sensitivity analysis is also performed on the FFBP that shows the crossing angle parameter has a powerful effect on the predictions. The SVR improved the results to 47% and 31.71% for the scour hole depth and its location in terms of the coefficient of correlation.
Borrower-Based Macroprudential Measures and Credit Growth: How Biased is the Existing Literature?
Authors: Malovaná Simona , Hodula Martin , Gric Zuzana , Bajzík Josef 
Published: July 2022

Abstract
The ever-so-increasing use of borrower-based measures such as loan-to-value, debt-to-income, and debt service-to-income limits has created a demand to better understand the transmission of the policy and its effectiveness. In this paper, we collect more than 700 estimates from 34 studies on the effect of borrower-based measures on bank loan provision. A birds-eye view of our dataset points to a significant fragmentation of the literature in terms of the estimated coefficients. On average, the introduction or tightening of borrower-based measures reduces annual credit growth by 1.6 pp. Using battery of empirical tests, we verify the presence of a strong publication bias, especially against positive and not statistically significant estimates. The bias-corrected coefficient is about half the size of the uncorrected mean of the collected estimates, but remains safely negative. Further, we explore the context in which researchers obtain such estimates and we find that differences in the literature are best explained by model specification, estimation method, and the underlying data characteristics.
Middle-East prevalence of Toxocara cati and Toxocara canis and Toxocara leonina in stray cats and dogs
Authors: Sadr Soheil , Moghaddam Safa , Atazadeh Amir Hossein , Haratizadeh Mohammad Javad , Borji Hassan , Safavi Ehsanallah Afshari 
Published: July 2022

Abstract
Stray cats and dogs are the major risk factors for human toxocariasis and one of the most important public health issues. Accessing and analyzing the prevalence of Toxocara spp. in definitive host may help control and prevention of human toxocariasis. This systematic review and meta-analysis is the first study in Middle east, directed to estimate the prevalence of Toxocara cati, Toxocara canis and Toxocara leonina infection in cats and dogs by gender, age, geographical location, weather condition and other risk factors. Three English databanks (Scopus, PubMed, and Google Scholar) were searched for published articles about Toxocara parasites of cats and dogs in Middle-East from 1980 to 2022. Of 300 peer-reviewed articles, 40 were included in this review and represented cats and dogs from all over the Middle east countries. The collective prevalence (95% CI) of Toxocara cati infection in stray cats was 7.66%, being highest in north of Iran and lowest in Qatar countries. The collective prevalence (95% CI) of Toxocara canis infection in stray dogs was 26.34%, being highest in north of Iran and lowest in Israel countries. The collective prevalence (95% CI) of Toxocara leonina infection in stray cats and dogs was 2.85%, being highest in Egypt and lowest in Qatar countries. Prevalence of Toxocara leonina was higher in low-income tropical countries and also in young (12 months of age) cats and dogs and also higher in humid weather like north of Iran. Control prevention and of this zoonosis should take greater care by health officials particularly in countries where risk factors and prevalence are highest.
Social Participation Type and Career Adaptability among Young Adults: An Examination of the Mediation Effect of Promotional and Preventive Regulatory Focus
Authors: Paszkowska-Rogacz Anna 
Published: July 2022

Abstract
The purpose of the presented study was to investigate the relationship between career adaptability and developmental tasks by young adults regarding life orientation, and to check whether self-regulation is a mediator in the relationship between life orientation and career adaptability. In total, 435 young adults aged 18 to 34 years were included. The study used the Social Participation Questionnaire, the Self-Regulation Scale, and the Polish version of the Career Adapt-Abilities Scale-5. Mediation analysis found promotion regulatory focus to be a mediator in the relationship between life orientation and all five categories of career adaptability in the transitive orientation dependence model.
Fuzzy-epo Optimization Technique for Optimised Resource Allocation and Minimum Energy Consumption With the Brownout Algorithm.
Authors: Samariya Jitendra Kumar , Tiwari Rajeev , Obaidat Mohammad S. , Bathla Gaurav 
Published: July 2022

Abstract
Cloud Computing is an eminent and reputable agenda which relies on large-scale distributed processing to provide access to their resources and services. In the cloud environment a rigorous management system is mandatory to collect all information regarding task processing levels and proving impartial resource provisioning through the levels of Quality of Service (QoS). These concerns can be settled by employing a meta-heuristic optimization-based resource management. Subsequently, this paper presents a Fuzzy Emperor Penguin Optimization (Fuzzy-EPO) algorithm-based resource provisioning framework for heterogeneous cloud environment. To deploy the optimal set of virtual machines (VM) to physical machines the VM allocation model is employed. The proposed Fuzzy-EPO algorithm does the VM consolidation mainly to reallocate overloaded VM to under-loaded PM to minimize the migration time and the brownout mechanism is adopted to reduce the rate of energy consumption. CloudSim simulation platform is used to implement the proposed system. The simulation results expose that the proposed Fuzzy -EPO based system is effective in restraining the proportion of SLA violation and increasing QoS requirements for providing proficient cloud service