bluuebunny/crossref_metadata_2025_split huggingface dataset:
PERSONAL INTELLIGENCE IN THE CONDITIONS OF TRANSFORMATION TO A PLANETARY-SPACE CIVILIZATION
Authors: Mishchenko Viktor 
Published: March 2023

The author considered the causes of the processes of de-intellectualization of society associated with the influence of man-made civilization, mass consumption society, and information society. Considering the importance of intellectualization of the individual, attention is paid to the fact that the term itself is used functionally, as the ability to use the intellect in certain situations, and not as the inner core of the spiritual image of the individual. Such consideration of intellectuality is substantiated in connection with the need for the functioning of modern post-classical science, as well as the study of large, complexly organized systems capable of self-organization. In order to formalize
the concept of intellectualization, the structural elements (noosphericity, analyticity, intelligibility, creativity, heuristics, civility, intelligence, independent thinking, positive, life-affirming character), features of the manifestation of intellectuality in various spheres of personal activity, levels of intellectual development were considered. It has been proven that the need to achieve higher levels of intellectuality (evolutionary, global creative, spiritual) is connected with the need to survive the civilization at the stage of transformation to the planetary-cosmic one, use the resources of the technotronic society, and create intellectual and moral spirituality.
PUBLIC INITIATIVES AND PUBLIC HEARINGS IN UKRAINE AT THE CURRENT STAGE
Authors: Semko Mykhailo 
Published: March 2023

One of the key and most common tools for interaction between government and citizens is public initiatives and hearings. The author emphasizes that the latest democratic tendencies of local governance play a huge role in solving problems of local significance and determining the vectors of local development. The article analyzes the problems of cooperation of public authorities with various non-governmental organizations of civil society and identifies ways and directions of its activation.
The authors note that public hearings are one of the mechanisms for reconciling the interests of different groups, showing an interest in solving a particular problem of public interest. In many democracies of the world, public hearings are a particular form of community involvement in the legislative decision-making process required by law. Public hearings are a very common mechanism of democracy at the local level in most democratic countries - it is a dialogue between the local government and the community itself. The study focuses on the role of civil society in the formation of new principles of cooperation between public authorities and civil society.
Creating conditions for socio-political dialogue of all groups and sectors of society that have different interests, comprehensive support for the idea of civil peace should be the basis for further development of Ukrainian statehood, development of an extensive system of interaction with civil society and various non-governmental organizations. In the context of effective involvement of citizens in the policy implementation process, the activity of public initiatives and public hearings is of key importance.
Bone Transport Treatment of Osteomyelitis Due to Thermal Osteonecrosis After IM Nailing of Tibial Stress Fracture Nonunion
Authors: Hawayek Bradley , Christman Ian , Dyskin Evgeny 
Published: March 2023

Case:
We present a case of a female athlete who sustained a nonunion of a tibial stress fracture and was treated with intramedullary nailing (IMN). The patient developed osteomyelitis likely secondary to a thermal osteonecrosis during the index procedure and required resection of the necrotic tibia and bone transport using the Ilizarov technique.

Conclusions:
The authors believe that all actions should be taken to avoid thermal osteonecrosis during reaming for tibial IMN, especially in patients with a small medullary canal. We believe that bone transport with the Ilizarov technique is an effective treatment method for patients who develop tibial osteomyelitis after treatment of tibial shaft fractures.
Experimental Modeling of the Interaction between Garnets of Mantle Parageneses and CO2 Fluid at 6.3 GPa and 950–1550 °C
Authors: Novoselov I.D. , Palyanov Yu.N. , Bataleva Yu.V. 
Published: March 2023

Abstract
—Experimental modeling of the interaction of eclogitic and lherzolitic garnets with CO2 fluid was carried out on a multianvil high-pressure apparatus of the “split-sphere” type (BARS) in platinum ampoules with inner graphite capsules, using a buffered high-pressure cell with a hematite container, at a pressure of 6.3 GPa and in the temperature range 950–1550 °C. It has been established that the main interaction processes at 6.3 GPa and 950–1250 °C are partial dissolution, recrystallization, and carbonation of garnet which lead to the formation of magnesian carbonate, kyanite, and coesite, a decrease in Mg contents in the recrystallized garnet, and the formation of carbonate, silicate, and oxide inclusions in it. Under these conditions, crystallization of metastable graphite and growth of diamond on the seed at ≥1250 °C were observed. In the temperature range 1350–1550 °C, the garnet underwent partial dissolution and recrystallization in CO2 fluid; no carbonation took place. These processes were accompanied by a decrease in the portion of the grossular component in the garnet and by the enrichment of the fluid phase with calcium. We have established the indicative characteristics of garnet that interacted with CO2 fluid: zoning, with low contents of CaO and MgO in the rims of crystals relative to the cores, and the presence of carbonate, kyanite, coesite, and CO2 inclusions. The compositions of the produced garnet and carbonates are consistent with the data on these minerals in mantle peridotite and eclogite parageneses and in inclusions in diamonds, which suggests a significant role of metasomatism with the participation of CO2 fluid in the evolution of deep-seated rocks and in the diamond formation. In this experimental research, we have first studied the processes of diamond crystallization and determined the boundary conditions for diamond growth in the system silicate–carbonate–CO2, which simulates natural diamond formation media. In general, the established regularities can be regarded as potential indicators of mantle metasomatism and mineral formation with the participation of CO2 fluid.
Real Time Automatic Structuring the Chinese Ultrasound Report of Covid'19 Diseases via Natural Language Processing
Authors: K Logu , Thangaraj Justin 
Published: March 2023

Abstract
The Covid’19 pandemic system affects the human life in worldwide and present artificial intelligent (AI) technology to save human lives and reduce the virus spread. Covid’19 virus affected large number of humans. So doctors and caretakers are not able to maintain the social distance to patients. In this paper, our proposed work is a automatic ultra sound imaging for detecting the lungs to find the covid-19 lung injury to compare monitoring modalities like radiographic or auscultation imaging, In “ultra sound” technology provides high diagnostic accuracy. In depth of data and color control using Multinomial Tactic Regression (MTR) algorithm for better performance a automatic lung image extraction using Convolutional Structural Network (CSN) and Natural Language Processing (NLP) technique are easily detect and improve performance for lung sound image noise reduction comparison an deep learning algorithm annotation process for ultra sound images is a complex and time consuming task, but NLP can increase its efficiency and speed.
Emotional Intelligence Weakly Predicts Academic Success in Medical Programs: A Multilevel Meta-Analysis
Authors: Alabbasi Ahmed Abdulla , Alabbasi Fatema A. , AlSaleh Aseel , Alansari Ahmed M. , Sequeira Reginald P. 
Published: March 2023

Abstract

Background:Emotional intelligence (EI) is a predictor of academic success in undergraduate Doctor of Medicine (MD) programs. However, although some research suggests a positive association between EI and academic success in MD programs, others report no such association or a negative correlation between these two variables. The current study aimed to resolve these contradictory findings by synthesizing research published between 2005 to 2022 period.Methods:Data were analyzed using a multilevel modeling approach to (a) estimate the overall relationship between EI and academic success in MD programs and (b) determine whether the mean effect size varies by country (United States vs. non-United States countries), age, EI test, EI task nature (ability-based vs. trait-based), EI subscales, and academic performance criteria (grade point average vs. test score).Results:Findings from 20 studies (m= 105;N= 4,227) indicated that, overall, there is a positive correlation between EI and academic success (r= .13, 95% CI [.08, – .27],p< .01). Moderator analyses revealed that the mean effect size significantly varied by EI tests and EI subscales. Moreover, three-level multiple regression analyses showed that between-studies variance explained 29.5% of the variability in the mean effect size, while within -studies variance explained 33.5% of the variability in the mean effect.Conclusions:Emotional intelligence is significantly, albeit weakly, related to academic success in MD programs. It is important to integrate EI-related skills into the MD curriculum or target EI competency through professional development training programs.
Design and Validate a Dual-Modality Characteristic Information Fusion System Based on Probabilistic Graphical Models
Authors: Xia Xunpeng , Zhang Rongfu , Yao Xufeng , Huang Gang , Tang Tiequn 
Published: March 2023

Abstract
Positron Emission Tomography and Computed Tomography(PET/CT) imaging could obtain functional metabolic feature information and anatomical localization information of the patient body. However, tumor segmentation in PET/CT images is significantly challenging for fusing of dual-modality characteristic information. In this work, we have proposed a novel deep learning-based graph model network which can automatically fuse dual-modality information for tumor area segmentation. Our method rationally utilizes the advantage of each imaging modality(PET: the superior contrast, CT: the superior spatial resolution). We formulate this task as a Conditional Random Field(CRF) based on multi-scale fusion and dual-modality co-segmentation of object image with a normalization term which balances the segmentation divergence between PET and CT. This mechanism considers that the spatial varying characteristics acquire different scales, which encode various feature information over different modalities. The ability of our method was evaluated to detect and segment tumor regions with different fusion approaches using a dataset of PET/CT clinical tumor images. The results illustrated that our method effectively integrates both PET and CT modalities information, deriving segmentation accuracy result of 0.86 in DSC and the sensitivity of 0.83, which is 3.61\% improvement compared to the W-Net.
Fault Location of Distribution Network Based on the Quantum Ant Colony Algorithm
Authors: Bi Zhongqin , Yu Xiaowan , Wang Bonan , Zhang Weina , Liu Zhe , Zhang Dan 
Published: March 2023

Abstract
With the continuous expansion of the distribution network and the access of distributed generation, the problem of distribution networks with distributed generation (DG) fault location has become complex and difficult to solve. In order to locate faults accurately and quickly, in this paper, the quantum ant algorithm is applied to solve this problem for the first time. Firstly, we establish a reasonable mathematical model. To greatly avoid the adverse effects of information loss, we propose an information self-correction method. Secondly, a hierarchical positioning model is proposed to shorten the positioning time. Then considering the requirements of quickness and accuracy for fault location, the algorithm is improved. We update the quantum rotation gate mechanism and dynamically adjust the rotation angle. In addition, we add the mutation mechanism to expand the population diversity. Finally, the effectiveness and performance of the improved quantum ant colony algorithm are reflected by comparing with other algorithms. Simulation results demonstrate that the improved quantum ant colony algorithm has substantial global optimization ability, high fault location accuracy and fault tolerance in different cases, and the hierarchical positioning model can shorten the algorithm location time.
A novel detection method for neohesperidin dihydrochalcone (NHDC) based on ZIF-8/ErGO composite modified electrode in milk
Authors: Zhang Liang , Xu Junhui , Qian Jing , Wang Yazhen 
Published: March 2023

Abstract
Neohesperidin dihydrochalcone (NHDC), as a high-intensity sweetener, has been widely used to be a new food additive in recent years. In this study, zeolitic imidazolate framework (ZIF)-8/electrochemical reduced graphene oxide (ErGO) composite materials were favorably constructed onto the surface of glassy carbon electrode (GCE) by two simple steps without any dispersant, and a ZIF-8/ErGO modified GCE for an electrochemical sensing of NHDC was developed. The morphology and its structure of the composite materials were characterized by scanning electron microscopy and Raman spectroscopy. The electrochemical behavior of NHDC at different modified electrodes and its redox processes was investigated by cyclic voltammetry (CV). Under the optimized conditions, the linear sweep voltammetry (LSV) method was used to detect NHDC. The linear relationship between oxidation peak current of NHDC and its concentration is ranged from 80 nM to 80 μM and the detection limit is calculated to be 31.5 nM (based on S/N=3). The selectivity and reproducibility of the modified electrode were evaluated. Finally, the modified electrode was used to detect NHDC in milk samples with a recovery rate of 98.3%~106.3%, which implied its feasibility for the determination of NHDC in actual samples.
Automating Ground Truth Annotations For Gland Segmentation Through Immunohistochemistry
Authors: Kataria Tushar , Rajamani Saradha , Ayubi Abdul Bari , Bronner Mary , Jedrzkiewicz Jolanta , Knudsen Beatrice , Elhabian Shireen 
Published: March 2023

Abstract
The microscopic evaluation of glands in the colon is of utmost importance in the diagnosis of inflammatory bowel disease(IBD) and cancer. When properly trained, deep learning pipelines can provide a systematic, reproducible, and quantitativeassessment ofdisease-related changes in glandular tissue architecture. The training and testing of deep learning modelsrequire large amounts of manual annotations, which are difficult, time-consuming, and expensive to obtain. Here, we propose amethod for the automated generation of ground truth in digital H&E slides using immunohistochemistry (IHC) labels. The imageprocessing pipeline generates annotations of glands in H&E histopathology images from colon biopsies by transfer of gland masks from CK8/18, CDX2, or EpCAM IHC. The IHC gland outlines are transferred to co-registered H&E images for the trainingof deep learning models. We compare the performance of the deep learning models to manual annotations using an internalheld-out set of biopsies as well as two public data sets. Our results show that EpCAM IHC provides gland outlines that closelymatch manual gland annotations (DICE = 0.89) and are robust to damage by inflammation. In addition, we propose a simpledata sampling technique that allows models trained on data from several sources to be adapted to a new data source using justa few newly annotated samples. The best-performing models achieved average DICE scores of 0.902 and 0.89, respectively,on GLAS and CRAG colon cancer public datasets when trained with only 10% of annotated cases from either public cohort.Altogether, the performances of our models indicate that automated annotations using cell type-specific IHC markers can safelyreplace manual annotations. The automated IHC labels from single institution cohorts can be combined with small numbers ofhand-annotated cases from multi-institutional cohorts to train models that generalize well to diverse data sources
Risk of cardiovascular disease in lean patients with nonalcoholic fatty liver disease
Authors: Ishido Shun , Tamaki Nobuharu , Takahashi Yuka , Uchihara Naoki , Suzuki Keito , Tanaka Yuki , Miyamoto Haruka , Yamada Michiko , Matsumoto Hiroaki , Nobusawa Tsubasa , Keitoku Taisei , Takaura Kenta , Tanaka Shohei , Maeyashiki Chiaki , Yasui Yutaka , Tsuchiya Kaoru , Nakanishi Hiroyuki , Kurosaki Masayuki , Izumi Namiki 
Published: March 2023

Abstract
Background:Patients with nonalcoholic fatty liver disease (NAFLD) are highly at risk for cardiovascular disease (CVD). However, the risk of developing CVD in patients with lean NAFLD is not yet fully understood. Therefore, this study aimed to compare the CVD incidence in Japanese patients with lean NAFLD and those with non-lean NAFLD.
Methods: A total of 581 patients with NAFLD (219 with lean and 362 with non-lean NAFLD) were recruited. All patients underwent annual health checkups for at least 3 years, and CVD incidence was investigated during follow-up. The primary end-point was CVD incidence at 3 years.
Results: The 3-year new CVD incidence rates in patients with lean and non-lean NAFLD were 2.3% and 3.9%, respectively, and there was no significant difference between two groups (p = 0.3). Multivariable analysis adjusted for age, sex, hypertension, diabetes, and lean NAFLD/non-lean NAFLD revealed that age (every 10 years) as an independent factor associated with CVD incidence with an odds ratio (OR) of 2.0 (95% confidence interval [CI]: 1.3–3.2), whereas lean NAFLD was not associated with CVD incidence (OR: 0.6; 95% CI: 0.2–1.6).
Conclusions: CVD incidence was comparable between patients with lean NAFLD and those with non-lean NAFLD. Therefore, CVD prevention is needed even in patients with lean NAFLD.
Exploring the potential use of natural polymers to enhance the performance of MXene/MOF-5 nanocarrier in loading and co-loading of doxorubicin and curcumin
Authors: Bina Ali , Raissi Heidar , Zaboli Ameneh 
Published: March 2023

Abstract

The adsorption of the two anti-cancer drugs doxorubicin (Dox) and curcumin (Cur) and also the simultaneous loading of both drugs on the surface of the innovative inorganic nanostructure MXene/MOF-5 (Mxn-MOF) was investigated using the molecular dynamics (MD) simulation method. In order to study the loading process in presence of polymer, two chitosan and alginate polymers were adsorbed on the carrier, and then the loading of drugs was investigated. Descriptors such as van der Waals energy (vdw), radial distribution function (RDF), and mean square displacement (MSD) were utilized. The values of interaction energies and RDF for the studied systems show that the adsorption of drug molecules in systems containing polymer is better than in pristine ones. It was found that the type of adsorbed polymer on the Mxn-Mof nanostructure has a noticeable effect on the interaction energy between Cur and Dox drugs with the carrier. The obtained results confirmed that increasing the number of drug molecules affects the loading and adsorption process. The analyzes show that in the co-loading system, the most stable complex with an average binding energy of -662.75 kJ /mol belongs to the Mxn-MOF-Chi-Dox/Cur system. The investigation of the studied systems confirms that in the presence of chitosan polymer, the adsorption of drug molecules is stronger in comparison to alginate polymer. The results obtained from this study provide detailed information about the interaction of polymeric drug compounds and nanocarriers at the atomic level, which can be useful in the design of intelligent drug delivery systems.
Trend turning of North China summer extreme precipitation around early 2000s and its strengthened connections with Ural blocking and the western Pacific subtropical high
Authors: Diao Yina , Guo Jinhuan , Li Jianping , Zhang Yazhou , Hou Zhaolu 
Published: March 2023

Abstract
This study focuses on regional extreme precipitation (REP) in North China. We found a trend turning in summer (July and August) REP frequencies and intensities from a decrease trend in 1961-2002 to an increase trend in 2003-2020, accompanying which, the extreme rain belt shows a southward shift, and the connections of the REP with Ural blocking and with the western Pacific subtropical high (WPSH) are enhanced in 2003-2020. The low and high pressures at west and east of North China (the low-high dipole, LHD) leads to northward moisture transport, air rising and rain there. During the REP the high pressure of the LHD at Northeast China (the NEH) is strongly amplified through the forcing of Rossby wave energy propagating along the zonal subpolar/subtropical wave guide over Eurasian on the preexisting northeast Asia stationary ridge. In 2003-2020, the enhancement of Ural stationary ridge favors the development of Ural blockings (UB), and leads to a change of the eastward Rossby wave propagating path from along the subtropical wave guide in 1961-2002 to along the polar wave guide in 2003-2020, which connects the UB and the LHD, leads to a strengthened-and- northeastward-shift/southwestward-shift of the low/high of the LHD. The JA mean WPSH expands more westward-northward in 2003-2020 than in 1961-2002. It provides a condition for a further westward-northward expanding of the daily WPSH under the influence of the NEH before the REP, which brings strong moisture from north Pacific and results in a strengthening of extreme rain over southern North China.