bluuebunny/crossref_metadata_2025_split huggingface dataset:
Linguistic Characteristics in Bipolar Disorder Vs Borderline Personality Disorder
Authors: Santos-Muriel Noelia , López-Resa Patricia , Frontera Romina , Moraleda-Sepúlveda Esther 
Published: June 2023

Abstract
Scientific evidence has documented throughout the research carried out in recent years, the neuropsychological, behavioral and adaptive difficulties presented by people with Bipolar Disorder and Borderline Personality Disorder at different stages of their development. However, little importance has been given to other factors such as communication and, therefore, its linguistic profile has been little developed throughout the studies carried out, especially in the adult population. There are few studies aimed at delving deeper into the level of language in groups of people with mental health problems. In this line, the objective and purpose of this research was to know the language characteristics presented by people from both groups and to delve into the differences that may exist between the two disorders at the level of linguistic development. The sample consisted of 60 participants between the ages of 17 and 42: 31 of them with a diagnosis of Borderline Personality Disorder and the remaining 29 with a diagnosis of Bipolar Disorder, all of them belonging to different psychological intervention centers and clinics of the Community of Madrid. The standardized evaluation instruments used to obtain the language level were mainly two: the Social Skills Scale (EHS) and the Pragmatic Competence Questionnaire (CCP) completed, in turn, by three different informants (families, professionals and the own person). Subsequently, the corresponding statistical analysis was carried out through the SPSS Statistical program 26.0 where we proceeded to obtain the descriptive indices of each area and compare the results in linguistic performance between both groups through the student test. In turn, a comparison has been made of the results obtained in the Pragmatic Competence Questionnaire in both populations based on the people who completed the questionnaire. The results obtained show that both populations manifest certain linguistic difficulties in adulthood and that there are differences depending on the perception of the agent involved in the language assessment. In addition, the relationship between social skills and communication skills in both disorders is discussed. These results are highly relevant since they provide up-to-date information about language level, support the need for language intervention in adulthood, and reflect a different communicative profile in Bipolar Disorder and Borderline Personality Disorder. Finally, the results reflect the importance of taking into account the environment and the global context of the person, as is the case of the family and of the professionals who work with these groups.
Digitally-defined ultrathin transparent wireless sensor network for room-scale imperceptible ambient intelligence
Authors: Jin Yunixa , Yu Mengxia , Nguyen Dat T. , Yang Xin , Li Zhipeng , Xiong Ze , Liu Yuxin , Kong Yong Lin , Ho John 
Published: June 2023

Abstract
Wireless and battery-free radio-frequency (RF) sensors can be used to create physical spaces that ambiently sense and respond to human activities. Making such sensors ultra-flexible and transparent is important to preserve the aesthetics of living environments, accommodate daily activities, and functionally integrate with objects. However, existing RF sensors are unable to simultaneously achieve high transparency, flexibility, and the electrical conductivity required for remote room-scale operation. Here, we report 4.5 µm RF tag sensors achieving transparency exceeding 90% that provide capabilities in room-scale ambient wireless sensing. We develop a laser-assisted water-based adhesion-reversion process to digitally realize computer-aided RF design at scale. By individually tagging multiple objects and regions of the human body, we demonstrate multiplexed wireless tracking of human-environment interactions and physiological signals at a range of up to 8 m. These radio-frequency identification sensors open opportunities for non-intrusive wireless sensing of daily living spaces for applications in health monitoring and elderly care.
miR-590-3p attenuates atherosclerosis by preventing TNF-α-induced proliferation and migration of VSMCs via NF-κB pathway
Authors: Guo Ren , Yang Heng , Xiang Yuanyuan , Nie Fangqin , Wang Sai , Yan Xin , Fu Yangxia , Peng Xiangdong , Chen Ruifang 
Published: June 2023

Abstract
miR-590-3p displays protective effects in some cardiovascular diseases. However, the mechanisms by which miR-590-3p regulates vascular smooth muscle cells (VSMCs) remain to be elucidated. In this study, we investigated the role of miR-590-3p/CD40/p21Cip1 pathway in VSMCs. The alterations of miR-590-3p, CD40 and /p21Cip1 were verified in atherosclerosis (AS) plaque and TNF-α treated VSMCs by quantitative Real-time PCR, EdU staining, wound healing test, and flow cytometry. The expression levels of miR-590-3p and p21Cip1 were decreased, whereas CD40 was increased in the AS plaques . TNF-α is a critical contributor of atherosclerosis and induces VSMCs proliferation and migration by upregulating CD40 and downregulating p21Cip1. miR-590-3p inhibits the proliferation and migration of VSMCs through up-regulating the expression of p21Cip1 and down-regulating the expression of CDK2/cyclin E1 by targeting CD40. The TNF-α-induced alterations were partially reversed by exogenous miR-590-3p mimic.The TNF-α-induced proliferation and migration of VSMCs were also prevented by miR-590-3p mimic . Thus, our study revealed a mechanism by which miR-590-3p attenuates atherosclerosis by preventing TNF-α-induced VSMCs proliferation and migration.
Sugar beet resistance to green peach aphid Myzus persicae (Sulzer) and black bean aphid Aphis fabae (Scop.): Mechanisms and Implications for breeding
Authors: Zhu Yunsheng , Stahl Andreas , Rostás Michael , Will Torsten 
Published: June 2023

Abstract
Sugar beet (Beta vulgaris ssp. vulgaris), a key crop for sugar production, faces significant yield losses by the green peach aphid Myzus persicae (Sulzer) and black bean aphid Aphis fabae (Scop.) as well as the transmission of virus by these aphids. The restriction on the use of neonicotinoids in Europe has intensified this problem, emphasizing the urgent requirement for breeding resistant crop varieties. This study evaluated sugar beet germplasm for resistance against these two aphid species. We investigated the performance and feeding behavior of both species on 26 sugar beet genotypes, using leaf disk bioassays and electropenetrography studies. Additionally, whole plant bioassays and semi-field experiments were carried out with M. persicae. Our findings demonstrate the presence of temporal resistance against both aphid species in the primary sugar beet gene pool. We also found that carrying the beet yellows virus (BYV) enhanced the aphids’ performance. Different plant defense mechanisms were involved: resistance against M. persicae primarily occurred prior to the stylet reaching the phloem, particularly in sugar beet line G3. While resistance against A. fabae turned out to be predominately phloem-located. A high incidence of black stomach symptoms in aphids, exceeding 85% across all genotypes, signified a general incompatibility between sugar beet and M. persicae. In conclusion, sugar beet resistance against aphids involved different mechanisms and was aphid-specific. The identification of these mechanisms and interactions represents a crucial milestone in advancing the breeding of sugar beet varieties with improved resistance.
Lymphocyte recovery from radiation-induced lymphopenia in locally advanced esophageal squamous cell carcinoma: correlations with prognosis and lymphocyte-related organs
Authors: Tseng Ihsuan , Ai Dashan , Chen Yun , Zhu Hongcheng , Li Fangfang , Xu Yang , Yu Lu , Liu Qi , Deng Jiaying , Hao Shengnan , Zhu Zhengfei , Zhao Weixin , Fan Min , Li Ling , Su Fengtao , Zhao Kuaile 
Published: June 2023

Abstract
Background: Few studies investigate the relationship between lymphocyte recovery after definitive concurrent chemoradiotherapy (dCCRT) and prognosis in esophageal squamous cell carcinoma (ESCC).
Methods: ESCC patients undergoing dCCRT with obtainable absolute lymphocyte counts (ALCs) at 6 months after dCCRT were screened from prospective trials. Population were categorized according to the development of and recovery from G4 and G1-3 ALC nadir during radiotherapy. Prognostic value of lymphocyte recovery in survival outcomes was estimated by Cox analysis. Irradiated relative volumes of the bone marrow and spleen were collected. The effective dose to immune cells (EDIC) was also calculated. Cut-offs of dose-volume parameters were determined by the receiver operating characteristic curve (ROC). Logistic analysis was used to explore predictive factors of lymphocyte recovery.
Results: 232 patients were included. Among 69 patients with G4 ALC nadir during dCCRT, there were 27 patients with lymphocyte unrecovered (group A) and 42 patients with lymphocyte recovered (group B). As for patients with G1-3 ALC nadir, 67 patients were with lymphocyte unrecovered (group C) and 96 patients with lymphocyte recovered (group D). Cox multivariable analysis indicated that unrecovered lymphocyte after dCCRT was significantly correlated with worse overall survival (HR, 2.80 and 1.70) and a higher risk of local recurrence (HR, 4.11 and 1.83) whether in group A vs group B or group C vs group D. Logistic analysis displayed that bone marrow V5 (OR, 4.24 and 2.29) was an independent indicator associated with lymphocyte unrecovered from G4 or G1-3 ALC nadir during dCCRT, respectively.
Conclusions: Lymphocyte unrecovered at 6 months after dCCRT could be a significant prognostic factor for worse survival outcomes whether patients suffered from G4 or G1-3 ALC nadir during dCCRT. Moreover, a larger relative volume of bone marrow irradiated by more than 5 Gy led to a higher risk of lymphocyte unrecovery.
Evaluation of Genetic Diversity Using Ssr Markers and Link With Drought Response of Azerbaijani Durum Wheat (Triticum Durum L.) Genotypes
Authors: Mammadova Ruhangiz , AMRI AHMED , AKPAROV ZEYNAL , ALO FIDA YOSSEF , SHEIKHZAMANOVA FATMA , ABBASOV MEHRAJ , AMRAHOV NURLAN , HAJIYEV ELCHIN , ALIZADE SHADER 
Published: June 2023

Abstract
Genetic diversity of 46 azerbaijani durum wheat (triticum durum l.) Genotypes were screened using simple sequence repeats (ssrs). These accessions were collected from various bioclimatic regions of azerbaijan. Out of the used twenty-two primers, 13 primers showed polymorphism and were selected for the analyses. Among the genotypes under study, 31 alleles were detected. Highest number of alleles was detected in locus gwm 335 (on chromosome 5b) and on locus gwm 445 (on chromosome 2a) with 5 and 4 alleles, respectively. The lowest number of alleles was determined in locus gwm 617 with only 1 allele. For a, b and d genomes, the total number of alleles detected were 14, 15 and 2, respectively. Pic value between studied ssr markers was 0.912 and this result shows high genetic diversity between azerbaijani durum wheat genotypes. Therefore, these primers can be recommended for studying genetic diversity of azerbaijani durum wheat accessions. The genetic structure of the genotypes was analyzed and the upgma dendrogram revealed five major clusters using nei genetic distance index. The results revealed that ssr markers can efficiently evaluate genetic variation in the wheat samples. Based on the previous characterization of drought response of these genotypes, links could be established between the ssr markers and drought tolerance. If some of the ssr markers are confirmed for their association s with drought tolerance, then, they can be used as markers for identification of drought tolerant varieties needed to enhance wheat productivity for farmers dealing with harsh conditions.
Particle swarm optimization-based reduced-order controller for balancing control issues with a two-wheeled mobile robot
Authors: Duddeti Bala Bhaskar 
Published: June 2023

Abstract
Existing controllers for a two-wheel mobile robot (TWMR) are based on higher-order controller (HOC) structures, which are complex and challenging to analyze, synthesize, and implement on hardware. To address this issue, the authors propose a reduced-order controller (ROC) for the pre-specified HOC that can effectively handle unpredictable dynamics. The proposed approach involves two phases. In phase 1, the ROC is made using dominant poles and moment matching. In phase 2, the particle swarm optimization (PSO) method improves the ROC numerator coefficients by minimizing the root mean square error and integral square error between the step responses and Bode magnitude plots of the HOC and ROC. One benefit of this technique is that the PSO algorithm’s search space bounds are not entirely arbitrary. They are instead picked based on the numerator coefficients calculated in Phase 1. It overcomes issues with evolutionary algorithms, such as random search space selection, optimization of additional decision variables, and longer simulation duration. Comparisons are made between the performance of the proposed controller and controllers built using other approaches. The determinations reveal that the proposed ROC outperforms these current techniques, resulting in a more straightforward and effective solution for regulating the unstable TWMR system. The efficacy of higher- and lower-order controllers is evaluated using a perturbed two-wheeled mobile robot. This evaluation focuses on analyzing various time response parameters and performance indices, including integral time absolute error (ITAE), integral square error (ISE), and integral absolute error (IAE). The MATLAB environment is employed as the preferred tool to carry out these simulations.
Leveraging Feature Selection to Improve the Accuracy for Malware Detection
Authors: Smith Daryle , Khorsandroo Sajad , Roy Kaushik 
Published: June 2023

Abstract
Malware is becoming increasingly sophisticated and difficult to detect with traditional monitoring tools and antivirus software. As a result, machine learning has become a popular approach for classifying and detecting malware-related data. In this study, two distinct datasets, Malware-Exploratory and CIC-MalMem-2022, were subjected to a series of supervised and unsupervised learning procedures to gather information for observation. As this is an extension of a previous research, the developed model is enhanced to include feature selection using Pearson correlation coefficient and genetic algorithm. It is then tested against a created dataset SMITH and a GAN dataset produced from SMITH, along with the datasets Malware-Exploratory and CIC-MalMem-2022 from the previous work. The model still uses the three clustering algorithms for analysis, namely K-Means, Density-Based Spatial Clustering of Applications with Noise, and Gaussian Mixture Model, and seven classification algorithms for predicting malware, namely Decision Tree, Random Forest, Ada Boost, KNeighbors, Stochastic Gradient Descent, Extra Trees, and Gaussian Naïve Bayes. Previous results showed that the Malware-Exploratory raw dataset achieved an accuracy score of 90%, while the CIC-MalMem-2022 raw dataset achieved a score of 99%. The results from this research show that the genetic algorithm emerges as the best method for detecting malware in the Malware-Exploratory and CIC-MalMem-2022 datasets, while the Pearson correlation coefficient performs well against the SMITH dataset.
A Rate Splitting Approach For Multi-user MISO Communication Systems Using Genetic Algorithm
Authors: Nikpour Mohsen , Mobini Majid 
Published: June 2023

Abstract
Recent research efforts in the field of 6G communication systems shows that the Rate splitting (RS) technique is a promising strategy for non-orthogonal transmission and interference management. RS consists of dividing a user message into two parts, i.e., common and private messages, such that each of those parts can be decoded at one or multiple receivers. In this paper, we introduce a competent RS approach based on the Genetic Algorithm (GA) to maximize the sum rate of Multi-Input Single-Output Broadcast Channel (MISO BC) communication systems. Existing solutions for the sum rate maximization problem are often based on approximation algorithms that lead to poor solutions. We consider two scenarios to divide the power between the common and private messages. The objective of the first scenario is to evaluate the performance of the GA-based approach compared to the existing RS benchmarks. In this case, the power of private massages is assumed to be equal, and we deal with a single-variable optimization problem. In order to generalize the proposed method, the second scenario considers a case in which the private messages have different power coefficients. The simulation results indicate that the proposed algorithm achieves a better Ergodic Sum Rate (ESR) than the existing approximation algorithms.
Long-Term Effectiveness and Safety of Omalizumab in a Pediatric Patient With Severe Persistent Asthma: A Case Report
Authors: Majmudar Sonali P. 
Published: June 2023

Abstract
Omalizumab has emerged as a promising treatment option for severe persistent allergic asthma in children aged 6 years and older whose symptoms do not improve after conventional therapy with inhaled corticosteroids and long-acting beta-agonists. Omalizumab has been shown to reduce asthma exacerbations, improve lung function, and reduce the need for oral corticosteroids. However, clinical evidence regarding the long-term efficacy and safety of omalizumab in pediatric patients with severe persistent asthma is limited. In this report, we discuss the long-term effectiveness and safety of omalizumab in a pediatric patient with severe persistent asthma. Our objective is to highlight the potential benefits and risks of long-term use of omalizumab in pediatric patients with asthma.
Steroidogenic factor 1 promotes cuproptosis in renal tubular epithelial cells during acute kidney injury
Authors: Lin Lirong , He Shahong , Wu Zhifen , Zheng Luquan , Yang Xujia , Li Ke , Yang Jurong 
Published: June 2023

Abstract

Programmed cell death of renal tubular epithelial cells (RTECs) is the main pathophysiological mechanism of acute kidney injury (AKI). Copper-induced death is a newly discovered form of programmed cell death, mainly attributed to fatty acylation in the TCA cycle, which leads to mitochondrial stress and cell death. However, the role of copper-induced death in the occurrence and development of AKI remains unclear. In this study, we first identified that the expression of ferredoxin 1 (FDX1), a key gene for copper-induced death, was significantly increased in the renal tissues of patients with AKI. The expression of copper-induced death-related genes and copper transporter 1 (CTR1) was significantly increased in various animal models of AKI. Compared with the control group, in the hypoxia-reoxygenation (H/R), lipopolysaccharide, and cisplatin injury groups, the concentration of copper ions increased in the NRK-52E cells, and the expression of FDX1 and CTR1 proteins increased significantly. After the NRK-52E cells were stimulated by copper (Cu2+), elesclomol (ES), and Cu2++ ES, the expression of CTR1 and FDX1 increased in the Cu2++ ES group, and that of lactate dehydrogenase increased significantly. In addition, the expression of CTR1 and FDX1 in the tubular epithelial cells in the H/R model and cell death reduced significantly after siRNA knockdown of the FDX1 gene or copper chelation therapy with tetrathiomolybdate. Preliminary mechanism investigation showed that the expression of CTR1 and FDX1 in H/R tubular epithelial cells and cell death was significantly reduced following siRNA knockdown of the steroidogenic factor 1 gene. Therefore, we speculate that copper-induced death in the RTECs may play an important role in the pathogenesis of AKI. Additionally, SF1 may be involved in the regulation of cuproptosis during AKI.
Variable neighborhood optimization for automatic warehouse in and out based on collaborative cooperation
Authors: Guo Zeyin , Wei Lixin , Liu Qingsong , Zhang Jinlu , Che Haijun , He Jinxian 
Published: June 2023

Abstract
In the process of warehouse automation, an efficient order picking strategy is one of the key factors affecting the efficiency of warehousing. Based on the characteristics of orders and stackers, the picking order model of stackers entering and exiting the warehouse is considered as a prize collection vehicle routing problem (PCVRP) for picking and delivering goods simultaneously. When solving this problem, The adaptive strength perturbation strategy is proposed to improve the convergence speed of the algorithm. In the process of population evolution, the random intensity perturbation strategy is introduced to ensure the diversity of the solution space. To balance the local search and global convergence capabilities of the algorithm, a hybrid iterative local search and variable neighborhood search (HILS-VND) collaborative optimization algorithm is designed. The experimental results indicate that, compared with several other existing algorithm, the proposed algorithm outperforms the comparison algorithms on standard evaluation indicators such as hypervolume, the number of non-dominated solutions and spacing metric.
Mitral Valve Repair for Degenerative Mitral Regurgitation with Carpentier’s functional classification Type II in Elderly Patients -A Single Center Experience-
Authors: Kawamura Masashi , Monta Osamu , Tsutsumi Yasushi 
Published: June 2023

Abstract
Objective
Mitral valve (MV) repair for Carpentier functional classification Type II (C-II) mitral regurgitation (MR) is widely accepted because of its efficacy. It is unclear whether MV repair has the same benefits in elderly patients as in younger patients because of their lower life expectancy. Herein, we examined the midterm results of MV repair for C-II mitral regurgitation, especially in patients aged > 70 years.
Method
A retrospective review was performed on 176 patients who underwent MV repair for C-II mitral regurgitation with a median age of 65 years; 55 (31%) patients were > 70 years, and 124 were male (71%). Lesions of the mitral valve were isolated from the anterior leaflet (48 patients), posterior leaflet (113 patients), and both leaflets (15 patients), and included seven patients with Barlow’s disease. We compared the outcomes between patients aged > 70 years (> 70 years; median age, 76 years) and those aged < 70 years (median age, 60 years).
Results
In terms of the durability of MV repair in elderly patients, there were no significant differences in the rates of freedom from reoperation or MR recurrence at 5 years between patients aged < 70 years and those aged > 70 years (reoperation:98% in < 70 years versus 89% in > 70 years; P = 0.4053; MR recurrence:95% in < 70 years versus 81% in > 70 years; P = 0.095). The mitral valve complexity was divided into two grades: Simple (isolated posterior mitral lesion) and Complex (isolated anterior lesion or both lesions). In patients aged < 70 years, there was no significant difference in the rate of freedom from MR recurrence at 5 years between the Simple and Complex groups (96% vs. 91%; P = 0.1029). In contrast, in patients aged > 70 years, the MR recurrence rate at 3 years in Complex was significantly higher in the Complex group than in the Simple (100% vs. 80%; P = 0.0265).
Conclusions
We studied the outcomes of MV repair for C-II in MR. In elderly patients, MR recurrence was higher in complex lesions than in simple lesions. MV replacement may be considered for elderly patients with complex mitral valve lesions, if appropriately selected.