bluuebunny/crossref_metadata_2025_split huggingface dataset:
Good Practice in Reaching and Treating Refugees in Addiction Care in Germany – A Delphi Study
Authors: Stylianopoulos Panagiotis , Hertner Laura , Heinz Andreas , Kluge Ulrike , Schäfer Ingo , Penka Simone 
Published: July 2023

Abstract
Background
Health and adequate access to health care is a human right. Despite both structural and personal risk factors towards substance abuse, refugees continue to face barriers to receive adequate addiction care in Germany, neglecting their human right of adequate health care. The question arises as to how barriers for refugees in reaching addiction services and care can be overcome. In the presented study, strategies for good practices to deconstruct these barriers were identified.
Method
A total of 21experts participated in a three–round, consensus-oriented Delphi-Process. The experts represented five different fields: addiction care services, including specialized programs for women, refugee aid services, academia, policy-making and immigrants’ self-help services.
Results
The Delphi-Process generated 39 strategies of good practice summarized in 9 major categories: Care System, Framework Conditions, Multilingualism, Information and Education, Access, Service-Level, Employee-Level, Employee-Attitudes and Networking.
Conclusion
In order to guarantee human rights regarding health and adequate access to health care for refugees, institutional barriers limiting access to prevention and treatment programs for addictive disorders must be abolished. The identified good practice strategies for Germany, if widely implemented, could contribute to this aim. By opening up prevention and treatment facilities for refugees, other marginalized groups could also benefit. While some of the strategies need to be implemented at the institutional level, political steps are also required at the system level including, e.g. financing of adequate translation services.
Point convolutional neural network algorithm for Ising model ground state research based on spring vibration
Authors: Jiang Zhelong , Chen Gang , Qiao Ruixiu , Feng Pengcheng , Chen Yihao , Su Junjia , Zhao Zhiyuan , Jin Min , Chen Xu , Li Zhigang , Lu Huaxiang 
Published: July 2023

Abstract
The ground state search of the Ising model can be used to solve many combinatorial optimization problems. Under the current computer architecture, an Ising ground state search algorithm suitable for hardware computing is necessary for solving practical problems. Inspired by the potential energy conversion of springs, we propose a point convolutional neural network algorithm for ground state search based on spring vibration model, called Spring-Ising Algorithm. Spring-Ising Algorithm regards the spin as a moving mass point connected to a spring and establish the equation of motion for all spins. Spring-Ising Algorithm can be mapped on the GPU or AI chips through the basic structure of the neural network for fast and efficient parallel computing. The algorithm has very productive results for solving the Ising model and has been test in the recognized test benchmark K2000. The algorithm introduces the concept of dynamic equilibrium to achieve a more detailed local search by dynamically adjusting the weight of the Ising model in the spring oscillation model. Finally, there is the simple hardware test speed evaluation. Spring-Ising Algorithm can provide the possibility to calculate the Ising model on a chip which focuses on accelerating neural network calculations.
Modified gauge invariant Einstein Maxwell gravity and Thermodynamic phase transition of anti de Sitter ReissnerNordstrom black holes
Authors: Ghaffarnejad Hossein , Ghasemi Elham 
Published: July 2023

Abstract
By contracting Ricci tensor of metric field with electromagnetic tensor field we make a scalar term added with the Einstein-Maxwell (EM) gravity Lagrangian density and then obtain modified Reissner Nordstrom (RN) black hole metric via perturbation method. In fact our motivation in use of this alternative gravity theory instead of the EM gravity is based on influence of cosmic magnetic field throughout the space time as inevitable effect at duration of cosmic inflation. Our goal in this work is investigation of contribution of this interaction term on the Hawking temperature and possibility of phase transitions too.
Evaluation of the biological activity of Cordyceps militaris as an antioxidant, anti-bacterial, and anti-inflammatory agent for natural healthcare
Authors: Kaewkod Thida , Ngamsaoad Pronpimon , Mayer Kanok-orn , Cheepchirasuk Nitsanat , Promputtha Itthayakorn , Tragoolpua Yingmanee 
Published: July 2023

Abstract
This study presents the bioactive compounds and the antioxidant, anti-bacteria, and anti-inflammatory activities of C. militaris fruiting body (FB) and fruiting body with substrate (FBS). C. militaris FB and FBS were extracted using water, ethanol, and methanol solvents. The chemical composition analysis of C. militaris extract shows bioactive compounds including adenosine, cordycepin, carotenoids, phenolics and flavonoids correlated with antioxidant activity in 2.153–5.105 mg GAE/g extract. Moreover, the ethanolic and methanolic extracts of C. militaris, and the bioactive compounds cordycepin and carotenoids, exhibited the greatest bactericidal activity against all enteric pathogenic bacteria; Escherichia coli, E. coli O157:H7, Shigella dysenteriae, Salmonella Typhi, Vibrio cholerae and Bacillus cereus. In addition, C. militaris extracts and bioactive compounds are confirmed as new agents to prevent the adhesion and invasion of enteric pathogenic bacteria on Caco-2 colon cells. This finding demonstrates the anti-inflammatory activity found in the aqueous extract of C. militaris and bioactive compounds on the LPS-stimulated Caco-2 cell model, which had the efficacy to suppress inflammatory moderators including iNos, Cox-2, NF-κB, TNF-α, AP-1, TLR-4, IL-1ß and IL-6. C. militaris extract and its bioactive compounds cordycepin and carotenoids impede the adhesion and invasion of enteric pathogenic bacteria on colonic epithelial cells, and also promote anti-inflammation mechanisms. This study attests to C. militaris as an alternative therapeutic agent to prevent enteric pathogenic bacterial infection and inflammation due to its proven health benefits and high level of antioxidants.
Disruption of the non-canonical wnt gene PRICKLE2 leads to cerebellar Purkinje cell abnormalities while cerebellar-mediated behaviors remain intact.
Authors: Abbott Parker W , Hardie Jason , Walsh Kyle P. , Nessler Aaron , Freeman John H. , Wemmie John , Sowers Levi , Parker Krystal L. 
Published: July 2023

Abstract
Autism spectrum disorders (ASD) involve brain wide abnormalities that contribute to a constellation of symptoms including behavioral inflexibility, cognitive dysfunction, learning impairments, altered social interactions, and perceptive time difficulties. Although a single genetic variation does not cause ASD, genetic variations such as one involving a non-canonical Wnt signaling gene, Prickle2, has been found in individuals with ASD. Previous work looking into phenotypes of Prickle2 knock-out (Prickle2−/−) and heterozygous mice (Prickle2−/+) suggest patterns of behavior similar to individuals with ASD including altered social interaction and behavioral inflexibility. Growing evidence implicates the cerebellum in ASD. As Prickle2 is expressed in the cerebellum, this animal model presents a unique opportunity to investigate the cerebellar contribution to autism-like phenotypes. Here, we explore cerebellar structural and physiological abnormalities in animals with Prickle2 disruption using immunohistochemistry, whole-cell patch clamp electrophysiology, and several cerebellar-associated motor and timing tasks, including interval timing and eyeblink conditioning. Histologically, Prickle2−/− mice have significantly more empty spaces or gaps between Purkinje cells in the posterior lobules and a decreased propensity for Purkinje Cells to fire action potentials. These structural cerebellar abnormalities did not impair cerebellar-associated behaviors as eyeblink conditioning and interval timing remained intact. Therefore, although Prickle−/− mice show classic phenotypes of ASD, they do not recapitulate the involvement of the adult cerebellum and may not represent the pathophysiological heterogeneity of the disorder.
Artificial Neural Network Based Modeling of Separation of Xylose from Glucose by Nanofiltration from Monosaccharide Solutions
Authors: Singh Ananya , Malik Disha , Jain Teesha , Khanna Yutika , Roy Annoy 
Published: July 2023

Abstract
In industrial processes, chromatographic techniques are applied to separate monosaccharides from one another. Here, the investigation was focused on the use of nanofiltration method to separate the pentose sugar from hexose sugar. A xylose is an abundantly available raw material that can be converted into various vital products like xylitol, 2,3-butanediol ethanol and ethanol. The production of xylitol involves xylose as an intermediate product and glucose interferes in this process. The purpose of this research study is to use an Artificial Neural Network (ANN) to create a model for membrane processes based on nanofiltration using already published experimental results. It was interpreted that the xylose and glucose separation using nanofiltration was possible up to a limited extent. It was observed that the mass proportion of a xylose to the glucose was 1.5 to 3.0 times greater in the permeate than their proportion in the feed. Observed monosaccharide retention depends extremely on factors such as permeate flux, type of membrane used for comparable fractionations and the concentration of monosaccharides. The regression model obtained and the corresponding set of simulations strongly support the required results.
Effects of bone marrow mesenchymal stem cell transplantation on dopamine synthesis, transport and maturation in rats with manganese poisoning
Authors: Guo Shu , Tian Yu tian , Chen Ceng ceng , Song Ping ping , Fan Xiao , Yan Yongjian 
Published: July 2023

Abstract
Objective: Manganismis a neurodegenerative disease that mainly damages dopamine neurons. In recent years, transplantation of bone marrow mesenchymal stem cells (BM-MSCs) has shown good efficacy in the treatment of neurodegenerative diseases.
Methods: Stem cell transplantation was used to treat the manganism model in rats, and the therapeutic effect of stem cell transplantation on nerve injury of manganese poisoning was observed.
Results: Immunofluorescence detection revealed that BM-MSCs survived in the rat brain and gradually differentiated into Dopaminergic neurons. Compared with the control group, the accumulation of denatured proteins in the experimentalgroup is relatively stable. Analysis of Dopamine (DA) content, tyrosine hydroxylase (TH) and other related factors NeuN, VMAT2, and BDNF revealed that BM-MSCs could significantly increase the expression of the above proteins after transplantation (P <0.05), this high expression effect was more obvious one month after transplantation, and it showed a slow decline afterwards. Among them, DA and TH were significantly related, indicating that one of the mechanisms of stem cell transplantation to increase DA content may be to accelerate the conversion of tyrosine to dopa by increasing TH.
Conclusions: This experiment observed that BM-MSCs can differentiate into dopaminergic neurons after striatum transplantation, and the dopamine content in striatum increases. Compared with the control group, BM-MSCs transplantation can effectively alleviate the increase of muscle tone in manganese-poisoned rats; reduce the accumulation of neuronal protein in the brain striatum.
Exploring Marine Algae-Derived Phycocyanin Nanoparticles as Safe and Effective Sunscreen Ingredients
Authors: Cao Jin , Zheng Xiaodan , Li Zhiye , Zheng Mingxue , Qian Chenyao , Shen Song , Qi Xueyong 
Published: July 2023

Abstract
UV radiation poses risks to human skin, including skin cancer. Synthetic chemical sunscreens that protect against UV radiation can have health and environmental concerns. Researchers are studying natural molecules that absorb UV light to find safer alternatives. Marine algae, with unique bioactive substances developed to survive extreme marine conditions, have gained attention as natural photoprotective agents. In this study, phycocyanin nanoparticles (PCNP) were fabricated and characterized using genipin as a crosslinker. PCNP showed a normal particle size distribution, with an average diameter of 175.2 nm. Both PC and PCNP exhibited excellent biocompatibility and did not harm cells. They also demonstrated concentration-dependent antioxidant activity, effectively scavenging free radicals. PCNP had enhanced UV radiation absorption, particularly in the UVB range, likely due to the synergistic effect between PC's internal capacity and the advantages of nanoparticles in the PCNP gel. The PCNP gel showed limited skin permeability, indicating its safety and suitability for topical application, making it a potential candidate as a safe and effective sunscreen ingredient.
What does virtual reality tell us about emotion recognition deficits in psychopathy? Evidence from a new paradigm.
Authors: Pereira Leonor , Pasion Rita , Paiva Tiago O. , Neves Rui , Lima Camilla , Barbosa Fernando 
Published: July 2023

Abstract

Certain aspects of social deviance in psychopathy can be explained by deficits in recognizing facial expressions of emotion. Still, important questions remain unanswered regarding this relationship especially because literature still lacks: (a) a dimensional approach to psychopathy integrating the dominant models in the field; (b) multi-level data from behavioral ratings to physiological indicators; and (c) tasks providing high ecological validity by resorting into virtual reality (VR). This study aims to address these issues. The sample included 83 community-dwelling adult volunteers. Psychopathic dimensions of personality were measured with the Triarchic Measure of Psychopathy and Self-Report Psychopathy. Participants completed a VR task, which required them to identify avatars’ emotional facial expressions (happiness, sadness, fear, and neutral) under different eye-gaze conditions (eye contact 20% or 80% of the time). Behavioral ratings and eye-tracking data were collected. We hypothesized that fearlessness psychopathy traits would be related to increased deficits in fear recognition and less attention toward the eyes. No evidence was found however for emotion recognition deficits in psychopathy – although sadness was rated as a more positive-valenced emotion in individuals scoring higher in affective-psychopathic traits. Less attention toward the eyes was found uniquely in disinhibition traits. We discuss these results in light of their implications for how social information is processed and encoded in psychopathy.
Expression analysis of BACH1 with clinical variables using the US breast cancer patient cohort
Authors: Dowling N. Maritza , Khramtsova Galina , Olopade Olufunmilayo , Lee Bok-Soon , Lee Jiyoung 
Published: July 2023

Abstract
Background
Studies on functional roles of BACH1 reveal that BACH1 promotes cancer metastasis and regulates metabolic networks for metastatic processes. However, little is known about BACH1 protein expression in breast tumors and its relevance to clinical variables as a biomarker for patients with breast tumors.
Methods
Using a tissue microarray (TMA) of breast tumor tissues isolated from a patient cohort (N = 130) expression of BACH1 and its target gene MCT1 (encoded by SLC16A1) were monitored by immunohistochemistry (IHC) assays and scored for further analyses. We examined the association between scores of BACH1 (Allredscoretotal) or MCT1 (Hscoretotal3x2x1x) with clinical variables including: breast cancer subtypes, tissue types, tumor size, patient’s racial/ethnic background, and age group. Groups were compared using the Mann–Whitney U test (or the non-parametric Kruskal–Wallis test when appropriate) for numerical data. A proportional odds ordinal logistic model was used to examine multiple covariates. Associations between variables were evaluated with the Spearman’s correlation coefficient.
Results
BACH1 and MCT1 expression were detected in 90.76% (N = 118/130) and 92.30% (N = 120/130) of patients by IHC, respectively, in our study. After dichotomizing tumor size (small: 3–25 in diameter vs. big: 27–85 mm in diameter), BACH1 expression scores were significantly higher (p = 0.015) in the bigger tumor group (mean [SD]; 4.20 [1.796]) compared with the smaller tumor group (3.920 [1.693]). Of interest, we also observed significantly higher BACH1 scores (p = 0.004) in tumors from Black women (3.971 [1.514]; N = 69) compared with those of White women (3.02 [1.942]; N = 49). Consistent with mRNA expression analysis, BACH1 expression is most abundant in the basal-like tumors among all subtypes, specifically in Black women, whereas MCT1 expression scores are considerably higher in the basal-like tumors regardless of race. In addition, there was a positive association between BACH1 and MCT1 IHC scores in tumors from Black women, although a weak association between them in tumors from White women. In general, we did not detect associations between MCT1 IHC scores and race, tumor size, tissue types, or patient’s age.
Conclusions
We found strong associations of BACH1 expression with tumor size and the basal-like subtype, respectively. Importantly, BACH1 expresses significantly higher in tumors from Black women than White women, as well as in the basal-like subtype of breast tumors from Black women. Our study suggests that BACH1 expression could serve as a potential race-associated biomarker indicating poor prognosis.
Enhancing Accuracy in Cost Estimation for Façade Works: Integration of Case Based Reasoning, Random Forest, and Artificial Neural Network Techniques
Authors: Luong-Duc Long , Anh-Thong Kim 
Published: July 2023

Abstract
Cost management plays a very important role in the success of the project. Good, timely and prompt control of costs can ensure project implementation progress as well as project efficiency. Currently, to shorten the construction time, the investors have contracted in the form of Design & Build. Therefore, accurate cost estimation at the early stage can increase the competitiveness of the contractor. The estimates currently in use lack high accuracy. Therefore, this paper intends to introduce new computational methods and more accuracy which base on Artificial Intelligence (AI) platform, particulars: Case Based Reasoning (CBR), Random Forest (RF) model and Artificial Neural Networks (ANN). In order to be materialized and easy to understand, the above methods will be applied in estimating the cost of facade work which normally, account for about 20-30% of the total construction cost. Thus, creating models provide the accuracy of the cost at the early stages of the project very helpful for decision maker. Solver in the excel tool, Python 3.10.9 and Spyder IDE 5.4.1 and SPSS Neural Networks 22 by IBM Software Group were used to establish the model for CBR, RF and ANN respectively. The cost data of thirty-six actual cases of residential building projects were used as examination, the data was randomly separated from the data set for training and testing purposes.
Preparation of block copolymer-stabilised microspheres of common polymers and their use as microplastics proxies in degradation studies
Authors: Madsen Jeppe , Rech Arianna , Hartmann Nanna B. , Daugaard Anders E. 
Published: July 2023

Abstract
The environmental fate and impact of microplastics as well as their possible physiological effects, are expected to depend on their physico-chemical characteristics, including polymer types and surface chemistry. There is thus a clear need to develop a broad range of model microplastic particles to study the fate and effects of environmentally relevant microplastics. Here, a simple one-pot procedure to prepare sub-10 µm poly(ethylene glycol) (MPEG)-stabilised glycol modified poly(ethylene terephthalate) (PETG), poly(ethylene terephthalate) (PET), poly(lactic acid) (PLA), polycarbonate (PC) and polycaprolactone (PCL) particles is described. The prepared particles can be dried and directly re-suspended in water, making them easy to handle and relevant mimics of microplastics. In addition the method was extended to prepare somewhat larger polyethylene-based (PE) particles and control PET particles were also prepared. Selected microparticles were subjected to aerobic biodegradation studies and compared with non-stabilised PET particles. All particles exhibited some degradation. For PLA and PET particles, the degradation corresponded well to the amount of surface stabilising MPEG groups or known impurities, confirming that these polymers do not degrade under the applied conditions but that the stabilising groups do. PCL particles degraded relatively rapidly, consistent with literature data and their relatively small size. PE-based particles degraded more than expected if only degradation of the stabilising groups was taken into account, indicating that the surface chemistry of these particles plays a role in bulk degradation. These studies thus demonstrate the effect of varying the type of polymer and improves the understanding of how surface chemistry affects the degradation of microparticles.
Immune-Related Genes for the Prediction of Response to Imatinib therapy in Chronic Myeloid Leukemia
Authors: Yang Pu , Yu Qian 
Published: July 2023

AbstractBackground. Chronic myeloid leukemia (CML) is a malignant hyperplastic tumor that originates from pluripotent hematopoietic stem cells in the bone marrow. The introduction of tyrosine kinase inhibitors (TKIs) has significantly enhanced the survival rate of CML patients. This study aimed to identify immune-related genes (IRGs) associated with the response to imatinib therapy in CML. Methods. We obtained gene expression profiles of CML patients treated with imatinib from the Gene Expression Omnibus (GEO) database. The patients were classified into high- and low-score groups based on their immune score, as determined by the ESTIMATE algorithm. Bioinformatics analysis was conducted to identify differentially expressed IRGs in CML. Functional enrichment analysis was performed to investigate potential mechanisms. Hub genes were identified using the weighted gene co-expression network analysis (WGCNA). The predictive value of these genes was assessed using receiver operating characteristic (ROC) analysis. Furthermore, we validated these genes in an independent cohort of patients treated with imatinib. Results. The immune score emerged as a novel predictor of response to imatinib therapy in CML. A total of 428 differentially expressed IRGs were identified. KEGG enrichment analysis revealed that the IRGs were involved in immune-related pathways, such as the T cell receptor signaling pathway and cytokine-cytokine receptor interaction. Based on five modules in WGCNA and the top-ranked degree, 10 hub genes were identified. ROC curve analysis indicated that IL10RA, SCN9A, and SLC26A11 genes may serve as potential biomarkers for predicting the response to imatinib. Conclusion. These findings enhance our understanding of the functional characteristics and immune-related molecular mechanisms involved in the response to imatinib and provide potential predictive biomarkers.