bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improved detection of 2,3-diaminophenazine for horseradish peroxidase quantification using surface-enhanced Raman spectroscopy
Authors: Evtushenko Evgeniy G. , Gavrilina Elizaveta S. , Vasilyeva Alexandra D. , Yurina Lyubov V. , Kurochkin Ilya N. 
Published: December 2023

The enzyme-linked immunosorbent assay (ELISA) coupled with surface-enhanced Raman spectroscopy (SERS) detection is a growing area of analytical chemistry emerged as a solution to a problem of sensitivity improvement. SERS-based ELISA with horseradish peroxidase as an enzymatic label, o-phenylenediamine (oPD) substrate, and 2,3-diaminophenazine (DAP) enzymatic product was one of the first examples of such systems. Surprisingly, the full potential of this long-known approach has not been revealed yet. The current study addresses a previously neglected problem of SERS detection stage performance. Using silver nanoparticles and model mixtures of oPD and DAP, the effects of pH, concentration of aggregating agent, and particle surface chloride stabilizer were extensively evaluated. At optimal mildly acidic pH of 3, 0.93 to 1 M citrate buffer, and AgNPs stabilized with 20 mM chloride, at least two orders of magnitude advantages in the detection limits of SERS over colorimetry both for DAP and HRP were demonstrated. We suppose that this improved detection system could become a useful tool for the development of SERS-based ELISA protocols.
Optimizing Preoperative Chronic Pain Management in Elective Spine Surgery Patients
Authors: Arciero Emily , Coury Josephine R. , Dionne Alexandra , Reyes Justin , Lombardi Joseph M. , Sardar Zeeshan M. 
Published: December 2023

» Chronic preoperative opioid use negatively affects outcomes after spine surgery, with increased complications and reoperations, longer hospital stays, decreased return-to-work rates, worse patient-reported outcomes, and a higher risk of continued opioid use postoperatively.» The definition of chronic opioid use is not consistent across studies, and a more specific and consistent definition will aid in stratifying patients and understanding their risk of inferior outcomes.» Preoperative weaning periods and maximum dose thresholds are being established, which may increase the likelihood of achieving a meaningful improvement after surgery, although higher level evidence studies are needed.» Spinal cord stimulators and intrathecal drug delivery devices are increasingly used to manage chronic back pain and are equivalent or perhaps even superior to opioid treatment, although few studies exist examining how patients with these devices do after subsequent spine surgery.» Further investigation is needed to determine whether a true mechanistic explanation exists for spine-related analgesia related to spinal cord stimulators and intrathecal drug delivery devices.
Draft of an ethical code of subjects implementing activity of creating, applying and utilizing medical products based on artificial intelligence technologies
Authors: Shutova A. A. , Begishev I. R. 
Published: December 2023

Objective: to develop a draft Ethical Code aimed at establishing ethical norms and rules of official behavior of subjects implementing activity of creating, applying and utilizing medical products based on artificial intelligence technologies.Methods: the methodological basis of the draft Ethical Code aimed at establishing ethical norms and rules of official behavior of subjects implementing activity of creating, applying and utilizing medical products based on artificial intelligence technologies consists of general and specific methods of scientific cognition, including analysis, synthesis, deduction, induction, classification, analogy, and comparison.Results: To the attention of lawyers – legal scientists and practitioners, medical professionals, members of clinical ethics committees, medical ethics specialists, representatives of law-making bodies, government agencies, business community and public organizations, patients, and a wide range of readers interested in the digital transformation of the healthcare system, we present the first in the Russian Federation draft of an Ethical Code of subjects implementing activity of creating, applying and utilizing medical products based on artificial intelligence technologies.Scientific novelty: the draft Ethical Code comprises general principles of professional service ethics and basic rules of official behavior, which should guide the subjects implementing activity of creating, applying and utilizing medical products based on artificial intelligence technologies. It is aimed at strengthening the authority of medical personnel, increasing patient confidence in artificial intelligence technologies, and preventing potential negative consequences as a result of their use.Practical significance: the draft Ethical Code is based on a systematic and comprehensive approach to the study of ethical norms and rules of official behavior, which should be followed by the subjects implementing activity of creating, applying and utilizing medical products based on artificial intelligence technologies. The principles specified in the Ethical Code are a basis for the development of the legal regulation system for artificial intelligence technologies in healthcare.
“In the beginning was the Word”: words and deeds of Soviet economists in the book “Cognitive structures and political economy of socialism in the USSR”, ed. by P. A. Orekhovskii
Authors: Melnik D. V. 
Published: December 2023

Objective: to evaluate the work “Cognitive structures and political economy of socialism in the USSR”, ed. by P.A. Orekhovsky (St. Petersburg: Aleteya, 2022).Methods: textual analysis, methodological criticism.Results: the paper reviews a collective monograph by the Institute of Economics of the Russian Academy of Sciences devoted to the history of Soviet economic thought in the 1950s – first half of the 1980s. The novelty of the reviewed work consists in the methodological approach. It involves analyzing the peculiarities of speech practices and assumes that their result was the formation of a special cognitive structure, which development cycle had a decisive influence on political processes. Not being a tutorial, the work can be used as auxiliary educational material on the history of Soviet economy and economic thought. At the same time, the work contains a number of controversial points. In general, it presents an important contribution to a potential discussion of the past and present of the Russian economic science and the nature of late-Soviet and post-Soviet economic and social changes.Scientific novelty: the innovation of the work consists in the consistent application of the approach to the history of Soviet economic science, which implies blurring of a clear boundary between the subject and object of economic research. The originality of the methodological approach consists in the fact that it applies Western “postmodernism” to analyze such a unique object as the Soviet economic science.Practical significance: the work can be recommended to a wide range of specialists interested in the problems under consideration.
Economic effect of carbon storage due to forest management intensification: analysis and forecast for the Republic of Karelia
Authors: Vysokikh-Al-Yasiri A. A. 
Published: December 2023

Objective: to assess the economic potential of carbon storage for a group of companies in the Republic of Karelia in the context of intensive forest management.Methods: SWOT analysis; assessment of a forest management project according to the VM10 international methodology, Verified Carbon Standard 2016 and forecast of revenues from selling carbon units.Results: the potential of Russian forest management in the context of the Paris Agreement is not disputed, but the assessment of the economic potential of carbon storage of individual economic entities at the moment remains open for discussion. The study estimates the effect of selling carbon units from forest management intensification projects, taking into account the maximum lease term for the area of 2.25 million hectares. This effect can reach an average of 23 million rubles per year from 2023 to 2034 and an average of 42 million rubles per year from 2023 to 2050, excluding the capital costs of logging and preparation, validation, verification and registration of the climate project, and field observations to ensure monitoring. The study proves that long-term investments in forest management intensification and a longer period of the climate project can lead to higher income per hectare from selling carbon units.Scientific novelty: it consists in the economic evaluation of regulatory restrictions on the price of carbon unit for forest climate projects, taking into account the maximum lease term stipulated by national legislation. The obtained results substantiate the economic challenges associated with the current regulations and provide information on the variability of project efficiency depending on the selected term of its implementation.Practical significance: the main results of the research can be used in the practical activity of economic entities, as well as by the bodies forming the policy of forest management.
Measuring professional preparedness of would-be teachers for pedagogical activity based on criteria-level estimation
Authors: Golovchin M. A. 
Published: December 2023

Objective: to determine the level of future teachers’ professional readiness for pedagogical activity using the statistical method of analysis based on the secondary data of a sociological research; to assess the factors affecting the above level.Methods: the study applied an index method of generalizing the data of sociological measurements to calculate the index of professional readiness for pedagogical activity (Iprpa). As part of the assessment, we used the data of the sociological survey conducted by VolNTs RAS in May-June 2023 among graduate students majoring in pedagogy at vocational schools and universities of Vologda oblast.Results: based on generalization of the study of professional readiness for pedagogical activity (futher – PRPA), a theoretical model of criterion-level assessment of this phenomenon was proposed. Within the model approbation, the readiness of future teachers for professional activity was assessed. Calculations showed that 24.6 % of the surveyed graduates had a high level, 44.6 % had an average level, and 30.8 % had a low level of PRPA. At the same time, university graduates had a lower level of readiness for school work than those who get a profession in colleges. The correlation analysis revealed that future teachers’ PRPA is strongly influenced by the presence of professional vocation as a sense of spiritual connection with the profession, and is influenced weakly by the purchasing power of their income. The spread of negative perceptions of the teaching profession among graduates usually reduces their readiness to work in the profession.Practical significance: the study proposes a step-by-step algorithm for assessing professional readiness for pedagogical activity using a sociological database. It is suggested that the process of the PRPA formation is influenced not only by the educational organization, but also by the future specialist personality. In particular, it concerns the inner desire to see oneself in pedagogical activity as an established professional, which is not always formed in the process of training at vocational schools and universities (especially if admission to the major was associated with “negative selection”). In this regard, we formulate proposals to overcome the effect of “negative selection” in the professional training of future teachers.Scientific novelty: the study clarifies the approach to the category of “professional readiness for pedagogical activity” and proposes a methodology for assessing the PRPA level, which includes a theoretical model of criterion-level assessment of this phenomenon, as well as an algorithm for calculating the final index of PRPA.
Digital health experts’ views on building One Health Surveillance using Telehealth
Authors: Basu Arindam , Ramachandran Anandhi , John Sheila , Umeh Charles , Al-shorbaji Najeeb 
Published: December 2023

Abstract
One health (“OH”) refers to integration of human, animal, and ecosystem health. An OH-based disease surveillance will enable early detection of zoonoses and ecosystem changes, instrumental for pre-empting future pandemics. Telehealth is used for preventive and curative remote care; telehealth can be instrumental for developing OH-surveillance but the barriers and levers in building such systems are unknown. We address this by conducting an innovation sprint with digital health experts at an international conference. We asked the participants how we might build a telehealth-driven OH surveillance system. They identified barriers, opportunities, and needs, and constructed empathy maps. Analyses of their responses revealed that they identified lack of a centralised system as a barrier. Networks, and centralised data systems would facilitate building telehealth-based OH surveillance. These findings are also consistent with existing approaches of OH surveillance without telehealth. This suggests implementing telehealth in OH surveillance will have similar issues to existing approaches.
Prioritized Experience Replay Based on dynamics priority
Authors: Li Hu , Qian Xuezhong , Song Wei 
Published: December 2023

Abstract

Experience replay has been instrumental in achieving significant advancements in reinforcement learning by increasing the utilization of data. To further improve the sampling efficiency, prioritized experience replay (PER) was proposed. This algorithm prioritizes experiences based on the temporal difference error (TD error), enabling the agent to learn from more valuable experiences stored in the experience pool. While various prioritized algorithms have been proposed, they ignored the dynamic changes of experience value during the training process, merely combining different priority criteria in a fixed or linear manner. In this paper, we present a novel prioritized experience replay algorithm called PERDP, which employs a dynamic priority adjustment framework. PERDP adaptively adjusts the weights of each criterion based on average priority level of the experience pool and evaluates experiences’ value according to current network. We apply this algorithm to the SAC model and conduct experiments in the OpenAI Gym experimental environment. The experiment results demonstrate that the PERDP exhibits superior convergence speed when compared to the PER.
Peripheral blood circulating tumor cells and glycan antigen 153 as biomarkers for diagnosis and prediction of prognosis in breast cancer: a retrospective study
Authors: Ouyang Peiwen , Yang Kang , Ran Jiangfan , Zhuang Xiwei , Zhou Shaoxiong , Wu Yunhua 
Published: December 2023

Abstract
Background
Our aim was to study the diagnostic and prognostic value of circulating tumor cells (CTC) and glycan antigen 153 (CA153) expression in breast cancer patients.
Methods
171 breast cancer patients were collected as an observation group, and another 126 cases of benign breast lesions in the same period were selected as a control group, to analyze the difference and correlation between the expression of CA153 and CTC in the two groups, and to compare the diagnostic value of CA153, CTC, and the combined detection for breast cancer. Finally, CTC expression was analyzed in relation to different clinicopathological parameters of breast cancer and CA153.
Results
The CTC positivity rate and CA153 expression level of the observation group were significantly higher than those of the control group, and Point-biserial analysis showed that there was a positive correlation between CTC and CA153 (r = 0.53,P༜0.01); the combined detection of CTC and CA153 had a higher sensitivity than that of the independent detection, and a lower specificity than that of the independent detection, and the combined detection of Youden's-index, Kappa-index, and Kappa-index was more effective in diagnosing breast cancer. index) and Kappa value were the highest at 0.8 and 0.79, respectively, which had higher diagnostic value; CTC expression was related to choroidal infiltration, TNM staging, and CA153 expression (P ༜0.05).
Conclusions
The expression of CA153 and CTC in breast cancer was significantly elevated and correlated, and the combined detection of the two had a higher diagnostic value for breast cancer, and CTC detection predicted the prognosis of breast cancer.
Designer Cellular Spheroids with DNA Origami for Drug Screening
Authors: Pei Hao , Wei Jiayi , Sun Yueyang , Wang Heming , Zhu Tong , Li Li , Zhou Ying , Liu Quan , Dai Zhen , Li Wenjuan , Yang Taihua , Wang Bingmei , Zhu Changfeng , Shen Xizhong , Yao Qunyan , Song Guangqi , Zhao Yicheng 
Published: December 2023

Abstract
In vitro models are crucial for drug screening, yet they often fail to accurately reflect human physiological responses. While 3D cell cultures aim to simulate human tissues, many lack the detailed complexity and interaction of various cell types found in actual tissues. Additionally, integrating these models with high-throughput drug screening remains a challenge. Current models can't strike the balance between capturing the complexity of human diseases and being suitable for large-scale drug tests. Here we introduce a method that uses self-assembling Nucleic-Acid-nanostructures-decorated-living-Cells, termed NACs, to create spheroids with a customizable 3D layout. To demonstrate its uniqueness, our method effectively creates designer 3D liver spheroids by combining hepatocytes with different non-parenchymal cells, leading to improved drug sensitivity and detailed modeling of complex chronic diseases and immune-stromal interactions. Our approach achieves a high level of biological detail while being standardized and straightforward to construct with the potential for large-scale drug discovery applications. By combining the precision of DNA nanotechnology with advanced cell culture techniques, we're streamlining human-centric models, balancing complexity with standardization, to boost drug screening efficiency.
An Exploratory Approach of Clinically Useful Biomarkers of Cvid by Logistic Regression
Authors: Guerra-Galán Teresa , Palacios-Ortega María , Jiménez-Huete Adolfo , Guevara-Hoyer Kissy , Cárdenas María Cruz , Villegas-Mendiola Ángela , Mansilla-Ruíz María Dolores , Subhi-Issa Nabil , Fuente Eduardo De la , Peña Antonia Rodríguez de la , Guzmán-Fulgencio María , Fernández-Arquero Miguel , de Diego Rebeca Pérez , Sanchez-Ramon Silvia 
Published: December 2023

Abstract

Despite improvements in genetic and functional studies, delayed diagnosis of common variable immunodeficiency (CVID) remains challenging. To overcome this, an exploratory study to evaluate the diagnostic performance of a panel of biomarkers for CVID, such as the sum of κ+λlight chains and the soluble B-cell maturation antigen (sBCMA) levels, switched memory B cells (smB) and VISUAL score, through logistic regression models compared to gold-standard tests (specific antibody responses) was carried out.ANOVA and bivariate analysis were performed between different groups and logistic regression models were fitted using CVID biomarkers between CVID and selective IgA deficiency (SIgAD). A total of 88 subjects were studied: 27 CVID patients, 23 SIgAD patients, 20 secondary immunodeficiency (SID) patients and 18 healthy controls. We validated the diagnostic performance of individual biomarkers sBCMA and sum κ+λ, with Se 89% and Spe 89%, versus Se 90% and Spe 99%, respectively. sBCMA strongly correlated with all other three variables (sum κ+λ, smB cell and VISUAL). By contrast, sum κ+λ did not correlate with either smB cells or VISUAL, and could provide added diagnostic value. By multivariable tree decision model, only 2 two factors proved to be independent signature biomarkers of CVID, namely specific antibody responses and sum κ+λ. The resulting model had an AUC of 0.946, Se 0.85, and Spe 0.95. The tree-decision model can increase diagnostic efficiency. Sum κ+λ stood out over other CVID classifiers, further highlighting its potential as a diagnostic criterion.
Double dissociation of visuomotor interaction mediated by visual feedback during continuous de novo motor learning
Authors: Kim Sungshin , Kim Junghyun , Park Sungbeen , Yoo Kwangsun 
Published: December 2023

Abstract
While the sensorimotor cortices are central neural substrates for motor control and learning, how the interaction between their subregions with visual cortices contributes to acquiring de novo visuomotor skills is poorly understood. We designed a continuous visuomotor task in fMRI where participants learned an arbitrary visuomotor mapping. To dissociate motor and somatosensory cortices functions, we manipulated visual feedback of a cursor such that they learned to control using fingers under two alternating conditions: online cursor feedback is available or unavailable except when a target is reached. We found double dissociation of fMRI activity in subregions of the sensorimotor and visual cortices and their interaction, which were mediated by the visual feedback. We also found a significant reduction in functional connectivity between somatosensory cortices and early visual cortices, which was highly correlated with performance improvement. These findings support the distinct interaction between subregions of sensorimotor cortices and visual cortices while highlighting the more dominant role of somatosensory cortices over motor cortices during de novo motor learning.
Analysis of a New Phage, KZag1, Infecting Biofilm of Klebsiella pneumoniae: Genome Sequence and Characterization
Authors: Saqr Ebtesam , Sadik Mahmoud W. , El-Didamony Gamal , Askora Ahmed 
Published: December 2023

Abstract

Background
This study investigates the effectiveness of the bacteriophage KZag1 against drug-resistant Klebsiella pneumoniae, aiming to assess its potential as a therapeutic agent.
Methods
KZag1, characterized by a typical Myovirus structure with a 75 ± 5 nm diameter icosahedral head and a 15 ± 5 nm short tail, was evaluated in experimental trials against 15 strains of K. pneumoniae. The infection cycle duration was determined to be 50 minutes, resulting in an estimated burst size of approximately 83 plaque-forming units per colony-forming unit (pfu/cfu). Stability assessments were conducted within a pH range of 4 to 12 and temperatures ranging from 45°C to 60°C. Biofilm biomass reduction was observed, particularly at a multiplicity of infection (MOI) of 10.
Results
KZag1 demonstrated infection efficacy against 12 out of 15 tested K. pneumoniae strains. The phage exhibited stability across a broad pH range and at elevated temperatures. Notably, treatment with KZag1 significantly reduced K. pneumoniae biofilm biomass, emphasizing its potential in combating biofilm formation. Genomic analysis revealed a complete genome of 157,089 base pairs with a GC content of 46.38%, encompassing 203 open reading frames (ORFs) and a cysteine-specific tRNA sequence. Comparison with phage GP4 highlighted similarities, with KZag1 having a longer genome by approximately 4829 base pairs and a higher GC content by approximately 0.93%. Phylogenetic analysis classified KZag1 within the Myoviridae family.
Conclusion
The efficacy of KZag1 against K. pneumoniae biofilm suggests its potential as a therapeutic candidate, especially for drug-resistant infections. Further clinical research is warranted to explore its synergy with other treatments, elucidate genomic traits, compare with Myoviridae phages, and understand its host interactions. These findings underscore the promising role of KZag1 in addressing drug-resistant bacterial infections.