bluuebunny/crossref_metadata_2025_split huggingface dataset:
Maximize-Minimum User Capacity for UBS and WiFi Systems by Optimizing UBS Position and User offloading
Authors: Xie Gang , Zhang Mengshan , Liu Yuanan 
Published: January 2023

Abstract
In recent years, Unmanned Aerial Vehicles (UAVs) communication has become very popular, with the characteristics of strong flexibility, Line-of-Sight (LoS) communication link capability, and low cost. In some disasters or remote areas, the ground base station (BS) is damaged. In some disasters or remote areas where ground base stations (BS) are damaged, using this method UAV-mounted BS (UBS) combined with ubiquitous WiFi can still continue to serve users and provide them with better communication services. In this paper, we combine UBS with WiFi to maximize the minimum user capacity in the system by optimizing the UBS location, user offloading and spectrum allocation. In this system, users are divided into WiFi subscribers (WSs) and cellular subscribers (CSs). WSs can only connect to WiFi Access Point (AP), and CSs are allowed to connect to both the UBS and APs or only UBS. This optimization problem is an NP-hard problem, and it is difficult to find the result directly. To solve this problem, we use the Block Coordinate Descent Algorithm (BCDA), which divides the total problem into three subproblems and solves them in alternating iterations. Finally, we compare the results obtained by the BCDA with the results obtained by the exhaustive algorithm. The comparison results show that the results of our proposed solution are close to those obtained by the exhaustive algorithm, and the complexity is much lower than that of the exhaustive algorithm.
Fear of Childbirth: Prevalence and Associated Factors in Pregnant Women of a Maternity in Southern Brazil
Authors: Moro Ana Paula Maia Dal , Soecki Gabriella , de Fraga Fernanda Schier , Petterle Ricardo Rasmussen , Rückl Sarah Cristina Zanghellini 
Published: January 2023

Abstract
Background: The fear of childbirth harms maternal and fetal health, but it is little studied in Brazil. This study aimed to calculate the prevalence of fear of childbirth in a maternity hospital in southern Brazil and its associated factors, besides to identify the content of the fear and the information sources about childbirth.
Methods: The Wijma Delivery Expectancy Questionnaire (Version A) was used to calculate the prevalence of fear of childbirth, and it's score was associated with sociodemographic variables, gestational history, aspects of the current pregnancy, knowledge about childbirth, anxiety symptoms (Beck Anxiety Inventory), depressive symptoms (Edinburgh Postnatal Depression Scale) and perception of social support (Multidimensional Scale of Perceived Social Support). Were also applied questionnaires about the content of the fear of childbirth and information sources about childbirth. The non-parametric Mann-Whitney, Spearman and Kruskal-Wallis correlation tests were used in the statistical analysis.
Results: Were included 125 pregnant women between 28 and 36 weeks of pregnancy, and 12% of them scored ≥85 on the Wijma Delivery Expectancy Questionnaire (Version A), indicating severe fear of childbirth. There was a significant correlation between fear of childbirth and anxiety symptoms (r=0.50, p<0.001), depressive symptoms (r=0.34, p<0.001) and social support (r=-0.23, p=0.008). The fear was lower in pregnant women with complete elementary education compared to those with higher education (p=0.003), and those with negative experiences in previous deliveries had more fear of childbirth than who had positive experiences (p=0.001). More than 85% of them fear fetal distress.
Conclusions:Fear of childbirth is a prevalent condition and health professionals must know how to recognize and address it during prenatal care, improving maternal-fetal care.
Machine Learning-derived Clinical Decision Algorithm for the Diagnosis of Hyperfunctioning Parathyroid Glands in Patients with Primary Hyperparathyroidism
Authors: Yeh Randy , Kuo Jennifer H. , Huang Bernice , Lee James A. , Tay Yu-Kwang Donovan , Tabacco Gaia , Bilezikian John P. , Dercle Laurent 
Published: January 2023

Abstract
Purpose
In patients with primary hyperparathyroidism (PHPT), planning for parathyroid surgery currently relies on the synthesis of clinical, laboratory, and imaging data by the clinician. Machine learning may assist in analyzing and integrating data to facilitate surgical decision making. To train and validate a Machine Learning-derived Clinical Decision Algorithm (MLCDA) for the diagnosis of abnormal hyperfunctioning parathyroid glands using preoperative variables.
Methods
Four hundred and fifty-eight consecutive patients were evaluated from a single-institution retrospective dataset of PHPT patients who underwent combined 4D-CT and sestamibi SPECT/CT (MIBI) with subsequent parathyroidectomy from February 2013 to September 2016. Study cohort was divided into training (first 400 patients) and validation sets (remaining 58 patients). Sixteen preoperative clinical, laboratory, and imaging variables were evaluated. A random forest algorithm was programmed to select the best predictor variables and output a single clinical decision algorithm with the highest performance (MLCDA). The MLCDA was trained to predict the probability of a hyperfunctioning vs. normal gland for each of four parathyroid glands in a patient. Reference standard was 4-quadrant location on operative reports and pathological confirmation of adenoma or hyperplasia. Accuracy of MLCDA was prospectively validated.
Results
Of 16 variables, the algorithm selected 3 variables for optimal prediction: combined 4D-CT and MIBI using 1) sensitive reading and 2) specific reading, and 3) crossproduct of serum calcium and parathyroid hormone levels, and outputted a MLCDA using five probability categories for hyperfunctioning glands. The MLCDA demonstrated excellent accuracy for correct classification in the training set (4D-CT + MIBI: 0.91 [95%CI 0.89–0.92]), and in the validation set (4D-CT + MIBI: 0.90 [95%CI 0.86–0.94], 4D-CT: 0.88 [95%CI 0.84–0.92], and MIBI: 0.88 [95%CI 0.84–0.92]).
Conclusion
Machine learning generated a clinical decision algorithm that accurately diagnosed hyperfunctioning parathyroid gland through classification into probability categories, which can be implemented for improved preoperative planning and convey diagnostic certainty.
Geotechnology Applied to Confronting Land Use and Occupation in Permanent Preservation Areas
Authors: Mardeni Vinícius Duarte Nader , Moreira Taís Rizzo , de Souza Kaíse Barbosa , Carvalho Rita de Cássia Freire , Guanaes Gabriel Madeira da Silva , Santos Alexandre Rosa dos , Santos João Victor 
Published: January 2023

Abstract
One of the most worrying issues concerns land use and occupation conflicts within permanent preservation areas. In this context, the objective of this work was to evaluate the evolution of land use and occupation as well as permanent preservation areas (PPAs) in Jucu River hydrographic basin (JRHB), located in Espírito Santo State - Brazil. The specific objectives were: (i) map land use and occupation in 2005 and 2018; (ii) analyze land use and occupation changes between both years; (iii) examine the contribution of each class to the total variation of classes with significant net variation; (iv) delimit PPAs for both years, in accordance with the new Brazilian forest code; and, (v) compare land use and occupation classes within each PPA. MapBiomas platform, which is based on Landsat satellite images, was used to map land use and occupation. Permanent Preservation Areas were delimited according to the criteria, definitions and parameters established by Law No. 12,651, from May 25, 2012, using ArcGIS® 10.3 computational application. From obtained results, it was possible to infer that over the analyzed period forest formation and pasture classes were the most expressive. Watercourses PPAs obtained greater participation in relation to the other categories in terms of area. However, once such category of PPA presents small amount of vegetated area, less than 50% of the corresponding area, a low degree of preservation is indicated. Concerning the confrontation of land use classes it is concluded that: Salt Flat class was extinct; part of forest formation evolved to planted forest; and, pasture presented the greatest loss of area. Forest formation, mosaic of agriculture, pasture and planted forest classes showed increase in area. It is concluded that there were specific areas of the watershed that showed a greater loss of area due to the increase in the implementation of silvicultural practices, being the area of pasture class the one that showed a greater index of variation.
Recurrent Dirichlet Forms and Optimalhardy-type Inequalities
Authors: Takeda Masayoshi , Yamaguchi Ryoji 
Published: January 2023

Abstract

Critical Schr¨odinger forms and recurrent Dirichlet forms are connected through Doob’s h-transform. The criticality of Schr¨odinger forms leadsus to critical Hardy-type inequalities. The objective of this paper is to showthat several well-known optimal Hardy-type inequalities are unifiedly derivedfrom the h-transform of recurrent Dirichlet forms and to give new examples.
Plasticity of blood and liver biomarkers in Physalaemus nattereri exposed to agricultural systems
Authors: Assis Rhayane Alves , Rezende Wadson Rodrigues , Santos Cirley Gomes Araújo dos , Benvindo-Souza Marcelino , Amorim Nathan Pereira Lima , Borges Rinneu Elias , Franco-Belussi Lilian , DeOliveira Classius , Santos Lia Raquel de Souza 
Published: January 2023

Abstract
Anurans are vulnerable to damage caused by the modification of habitats, as well as their contamination by xenobiotic substances. However, little is known of the plasticity of biomarkers once the exposure to these conditions has ceased. The present study evaluated whether Physalaemus nattereri is subject to erythrocytic nuclear alterations and modifications of the hepatic melanin in agricultural environments, and whether these impacts are reduced when the animal is isolated from this exposure. Twenty adult P. nattereri were collected from soybean (n = 10) and sugarcane (n = 10) plantations for the analysis of erythrocytic nuclear abnormalities and the hepatic melanin. An additional 20 animals were taken from the same environments and were maintained in contaminant-free terrariums under controlled conditions in the laboratory for 30 days prior to the application of the same analytical procedures. The results indicated that the animals from agricultural environments had higher levels of mutagenic damage in comparison with the individuals that were isolated from exposure to contaminants in the laboratory. The analysis of the hepatic melanin revealed a smaller area occupied by the melanomacrophages in the animals exposed to both types of plantation. The evidence indicates that the biomarkers are highly plastic, and reflect the environmental conditions, given that the genotoxic alterations decrease once the exposure is interrupted. The reduced area of hepatic melanin in the animals exposed to agricultural environments may reflect the incapacitation of the melanomacrophages and the loss of their detoxification potential due to the continuous exposure of the animal to agricultural pollutants.
Exploration and Research of Meta-system Space Based on the Thought of Relative Criterion
Authors: Liu Jingang 
Published: January 2023

Abstract
In this paper, based on the thought of relative criterion, a space system of continuous quantities is created, which is a mathematical convergence system, called a meta-system. It is expounded that The meta-system consists of a binary star at the centre and a galaxy orbiting the binary star at the same angular velocity, and it is a relatively static cluster of dynamically balanced stars in the universe. Based on the mathematical model of the meta-system, this paper deduces the theoretical formula of the relatively meta-system space through the relative criterion formula of the meta-system theory, unifying the four forces acting on the planet. Based on the formula of the meta-system space theory of the relative criterion, four conclusions of the meta-system space are deduced, and it is found that each galaxy is affected by the central binary star of the meta-system. Based on the space of meta-system, the objective laws of the planets rotating around the sun in the same plane and direction are revealed. This paper also provides a new cognition for exploring and observing the central binary star around which the sun revolves.
Keywords: Relative criterion; Continuous quantity; Meta-system; Space.
Identification of potentional immunological biomarkers of COVID-19 by blood transcriptome analysis
Authors: Wang Jingyun , Chen Li , Su Xiaoling , Liao Daoyong , Yu Jianwei , Ye Zufeng , He Jun 
Published: January 2023

Abstract
Backgroud:The COVID-19 pandemic has swept the globe since 2019, threatening people's health. Many studies indicate that infection is closely related to immune response disorder. We searched for potential immune-related biomarkers through systems biological analysis, and performed immune infiltration analysis on relevant data.
Methods and findings: We used CIBERSORT to analyze the blood transcriptomics data of the controls, the mild COVID-19 patients, and the severe COVID-19 patients. And we further obtained the essential infiltration immune cells of COVID-19 by the Wilcoxon test and LASSO algorithm. Then we used a limma package to find significant DE-IRGs. The GO and pathways analysis of these important immune genes were also applied. Subsequently, we used STRING and Cytoscape to screen hub genes and evaluated their value as a potential biomarker according to their expression at different stages and the ROC curve. Moreover, the results were verified by high-throughput data. Finally, we formed a TFs-mRNA-miRNA regulatory network diagram. Through the analysis above, we obtained four important immune cells. And the immune-related gene chip of the blood samples was analyzed to figure out the 36 significant DE-IRGs. Based on the operations above, we confirmed six immune-related hub genes involved in the pathogenesis of COVID-19 and analyzed their relationship with critical immune cells.
Conclusions:It was concluded that TLR2, CAMP, S100A9, BCL6, CD4, and IL7R could be used as potential biomarkers to provide corresponding value for the diagnosis and the prognosis of COVID-19.
Waterproof, self-adhesive and large-area patterned luminescent perovskite-polymer fiber films
Authors: Chen Ying , Zhang Zhen Yu , Sun Yan Ming , Wang Guo Ping 
Published: January 2023

Abstract
The stable underwater lighting and luminescent displays of metal halide perovskite are being achieved by the perovskite-polymer strategy through the shielding effects of hydrophobic polymer microstructures. However, the investigations of the large-area patterned displays with strong self-adhesions are still restricted. Here, we electrospinning large-area and homogeneous perovskite-polymer fiber films (PPFFs) as the raw plates for pattern processing. Under the microscopic cladding of the hydrophobic polymer fibers, the perovskite nanocrystals embedded in the as-fabricated PPFFs show ultra-stable underwater luminescence for more than 90 days. The fabric strategy also brings PPFFs excellent flexibilities and electrostatic self-adhesions, greatly broadening their stereo-dimensional application scenarios. Importantly, the designed large-area PPFF blocks are fabricated by in situ laser lithography technics instead of mechanical treatments, due to the heat ablation effects of lasers, the electrostatic adhesive layered fibers on the pattern edges are stitched into a whole with higher mechanical stability and better assembling applications. This work provides a facile, low-cost, and effective strategy for stable perovskite luminescent displays, and may promote the light-emitting applications of perovskite materials in the real harsh world.
On Hypersurfaces With Semisymmetric and Pseudosymmetric Weyl Tensor Embedded in a Conformally Flat Manifold
Authors: KUNDU HARADHAN , MANDAL JAY KANT , BAISHYA KANAK KANTI 
Published: January 2023

Abstract
In this paper we investigate some geometric properties of hypersurfaces embedded in a conformally flat manifold. We show that such hypersurfaces with certain conditions on its shape operator (viz., H 2 = λH + ρg with suitable choices of λ and ρ) admits semisymmetric and pseu-dosymmetric Weyl curvature tensors. We also establish the existence of such hypersurfaces by some suitable examples.
Cannabinoid receptor CB2 agonist attenuates cocaine-induced reinstatement of place preference in mice: Possible role for microglia immuno-metabolism
Authors: Abboussi Oualid , Khan Zmarak Ahmad , Ibork Hind , Zulu Simo S. , Daniels William , Taghzouti Khalid , Hales Tim G. 
Published: January 2023

Abstract
Chronic exposure to cocaine alters inflammatory signalling pathways in the brain, activates microglia and induces cognitive and motivational behavioural impairments. The endocannabinoid system may mediate cocaine’s effects. In the present study, we investigated the modulatory effects of the cannabinoid CB2 receptor agonist JWH-133 on cocaine-induced inflammation and motivational behavioural changes in vivo, and the possible effects of fractalkine (CX3CL1) on primary microglia metabolic activity and its subsequent contribution to cocaine-induced neurotoxicity. Our findings show that the CB2-specific receptor agonist, JWH-133, significantly attenuated the reinstatement of cocaine-induced CPP, increased Δ-FOSB expression in the nucleus accumbens (Nac), increased CX3CL1 levels in the ventral tegmental area (VTA) and prefrontal cortex (PFC), and decreased IL-1β in the PFC and NAc of cocaine treated animals. On the other hand, stimulation of the cortical primary microglial cells with CX3CL1 induced a biphasic effect. At a low concentration of 50 nM, CX3CL1 decreased mitochondrial oxidative metabolism vs glycolysis, and decreased the release of the proinflammatory cytokine, IL-1β, but did not affect TNFα. However, a dose of 100 nM of CX3CL1 increased mitochondrial oxidative metabolism, and both, IL-1β and TNFα release. These findings demonstrate that CB2 cannabinoid receptor modulation alters cocaine-induced reward-seeking behaviour and related neurobiological changes and highlights a potential role for CX3CL1 in the modulation of microglial metabolic and inflammatory-mediated activities.
Uniformly Positive or Negative Correlation of Cerebral Gray Matter Regions with Driving Safety Behaviors of Healthy Older Drivers
Authors: Park Kaechang , Putra Handityo Aulia , Yoshida Shinichi , Yamashita Fumio , Kawaguchi Atsushi 
Published: January 2023

Abstract
This study investigated the relationship between cerebral gray matter (GM) regions and driving safety behaviors (DSBs) of 98 older drivers without dementia (mean age, 77.72 ± 3.677 years). Their DSBs were evaluated on actual vehicles running on a closed-circuit course. The DSB was scored in six categories: DSB1, visual search behavior; DSB2, speeding; DSB3, signaling of the indicator; DSB4, vehicle stability; DSB5, positioning; and DSB6, steering. The scores were calculated by a driving instructor; larger scores indicated safer driving performances. Regional GM volumes were measured with voxel-based morphometry by magnetic resonance imaging (MRI). In 56 GM regions, 18 regions were correlated with DSB categories except for DSB4. When a single GM region was correlated with multiple DSB categories, a positive or negative response was uniformly determined for the respective region despite clear differences in the DSB categories. This result suggests the existence of two contradictory mechanisms in the brain for DSB. The left postcentral gyrus may largely function in regulating DSBs because it was negatively correlated with five of six DSB categories. Thus, MRI’s measurement of regional GM volumes may help deepen the understanding of the diversity and complexity inherent in brain functions for DSBs.
The gene expression fluctuations of glyceraldehyde-3-phosphate dehydrogenase in drought-stressed-basil cultivars
Authors: Khakdan Fatemeh , Shirazi Zahra , Ranjbar Mojtaba 
Published: January 2023

Abstract
Glyceraldehyde-3-phosphate dehydrogenase (GAPDH), as one of the key enzymes in glycolytic pathway in higher plants, was identified as an important objective protein in oxidative stresses condition, which can undergo thiolation reaction in the active site. However, several genes encoding of cytosolic isoenzymes of GAPDH have been identified and characterized in some plants, to investigate the role of GAPDH under drought stress, cloning of full-length cDNA, and expression profile of Ocimum basilicum GAPDH (ObGAPDH) cDNA were investigated. The full-length ObGAPDH was 1315 bp long, its deduced protein consists of 399 aminoacids with a predicted molecular mass of 42.54 kDa and a pI of 6.01. Phylogenetic tree study exhibited a ObGAPDH shared evolutionary relationship with the protein sequence of ObGAPDH reported in Salvia splendens and Sesamum indicum. In silico identified oxidative function of ObGAPDH in response to stimuli and docking illustrated inaction of protein with H2O2 as ligand. Expression profiling analysis exhibited different transcription ratios of ObGAPDH gene under water shortage stress. Overall, our findings revealed that the ObGAPDH regulation appears to be a cultivar- and drought stress-dependent mechanism.
Role of positive biopsy core ratio in prostate cancer patients
Authors: Kano Hiroshi , Izumi Kouji , Nakagawa Ryunosuke , Toriumi Ren , Aoyama Shuhei , Kamijima Taiki , Shimada Takafumi , Naito Renato , Kadomoto Suguru , Iwamoto Hiroaki , Yaegashi Hiroshi , Kawaguchi Shohei , Nohara Takahiro , Shigehara Kazuyoshi , Kadono Yoshifumi , Mizokami Atsushi 
Published: January 2023

Abstract
Background: The percentage of positive cores (PPC) is increasingly recognized as a prognostic factor in prostate cancer. However, the usefulness of PPC for patients undergoing androgen deprivation therapy (ADT) and high-risk group has not been adequately studied.
Methods: A retrospective analysis was conducted of 255 patients who underwent prostate biopsy (all-case group). We examined the efficacy of PPC as a prognostic biomarker.
Results: Eighty-nine patients were treated with ADT alone (ADT group), and 107 patients were classified as high-risk (high-risk group). The median duration of follow-up was 112.4 months, 85.3 months, and 110.0 months for the all-case group, ADT group, and high-risk group, respectively. Patients with PPC >60% had significantly shorter prostate cancer-specific survival (CSS) and castration-resistant prostate cancer-free survival (CFS) in the all-case group and ADT group. In high-risk group, patients with PPC >60% had shorter CFS but no difference in CSS. Multivariate analysis showed that significant independent predictors of prostate CSS were the presence of metastasis at diagnosis and PPC >60% in the all-case group and ADT group.
Conclusions: This study demonstrates that PPC may be a prognostic factor in ADT treatment and high-risk patients.