bluuebunny/crossref_metadata_2025_split huggingface dataset:
Progressive Increase of Brain Gray Matter Volume in Individuals with Regular Soccer Training
Authors: Li Ju , Cao Yaping , Huang Minghao , Qin Zhe , Lang Jian 
Published: August 2023

Abstract
The study aimed to investigate alterations in gray matter volume (GMV) in individuals undergoing regular soccer training, using high-resolution structural data, while also examining the temporal precedence of such structural alterations. Both voxel-based morphometry(VBM) and source-based morphometry(SBM) methods were employed to analyze volumetric changes in gray matter between the soccer and control groups. Additionally, a causal network of structural covariance(CaSCN) was constructed using granger causality analysis based structural data of training period ordering to assess the causal impact of on increased gray matter regions. Significant increases in gray matter volume were observed in the cerebellum in the soccer group. Additionally, the results of the SBM analysis revealed significant increases in gray matter volume in the calcarine and thalamus of the soccer group. The analysis of CaSCN demonstrated that the thalamus had a prominent influence on other brain regions in the soccer group, while the calcarine served as a transitional node, and the cerebellum acted as a prominent node that could be easily influenced by other brain regions. In conclusion, our study identified widely affected regions with increased gray matter volume in individuals with regular soccer training. Furthermore, a temporal precedence relationship among these regions was observed.
A Comprehensive Study of the Oncogenic Function of Claudin-18 in Various Human Cancers
Authors: Hou Xianbing , Chen Dandan , Wang Yao 
Published: August 2023

Abstract
A transmembrane protein called CLDN18 is stably expressed in the appropriate human tissues. Because CLDN18 expression varies significantly depending on the target tissues or cell types, dysregulated CLDN18 can have severe oncogenic effects. The study of CLDN18 and stomach cancer has been successful. It is unknown, though, what role CLDN18 plays biologically in pan-cancer. The functional features of CLDN18 in human malignancies and its function in the immune response are the subject of the first in-depth analysis we describe here. We conducted a comprehensive pan-cancer analysis of CLDN18 using existing databases and the R language. Our findings suggest that CLDN18 may be a cancer biomarker. The immune microenvironment may be regulated by CLDN18 in conjunction with other immunological checkpoints, and it may also be used as a potential biomarker and therapeutic target for particular malignancies.
Conflation Patterns of Vietnamese verbs A Cognitive Perspective
Authors: Toan Ly Ngoc 
Published: August 2023

Abstract
In order to represent complex events or conflation patterns, Vietnamese verbs that conflate are examined in this study for their semantic components. The lexicalization patterns presented by Talmy, L (2000), the semantic structure clarified by Jackendoff, R (1990), and the frame semantics postulated by Fillmore, C (1970) serve as the theoretical underpinnings of this study. This study sheds light on the blending of conceptual categories in Vietnamese verbs through empirical data. It focuses on the analysis of these conceptual categories, which include Action, Cause, Manner, Motion, Path, Perception, Position, and Location, within Vietnamese conflation patterns. The research investigates the combinability of these conceptual categories and provides a thorough comprehension of verb argument structures. It is anticipated that the analysis of Vietnamese conflation pattern typologies would add to the field's linguistic background. Examining conflation patterns also makes it easier to understand the underlying conceptualizations and cultural influences that influence language usage.
A multimodal mobility-on-demand service: dynamic rescheduling approach considering passenger-vehicle couplings
Authors: Zheng Hao , Guo Runhua , Zheng Han 
Published: August 2023

Abstract
Out of concern for the transport efficiency and sustainable development of city mobilities, both policymakers and commuters are calling for an integrated multimodal transportation network. Although the implementation of Mobility-on-demand (MoD) service should have been satisfying, the lack of corporation between different transit modes results in unsatisfying passenger experiences and low service efficiency. Multimodal MoD (MMOD) service is proposed to comprehensively utilize fixed-route public transit and demand-responsive transit resources for the integration of a multimodal transportation network. To formulate the MMoD, a service framework that periodically reassigns real-time orders and reschedules operational routes is proposed. To reduce the computational complexity, a passenger-vehicle routing model with multimodal transfers is constructed based on multilayer space-time networks for decoupling vehicle routes and passenger schedules. A column-generation algorithm is proposed to further reformulate, dualize, decompose and solve the primal problem of the aforementioned model. Toy example demonstrates that the proposed algorithm can yield a maximum of 60 times speed-up than that of the commercial solver Gurobi. Finally, by adjusting the passenger acceptance rate of rideshares and transfers under large-scale examples, we presented the sensitivity analysis taking the proportion of served passengers as the indicator of service efficiency. Experiments show that the passenger acceptance rate of ridesharing has a greater impact on the service efficiency.
Effect of ultraviolet radiation (UVC) on Bemisia tabaci eggs
Authors: O’Hearn Jonathan Scott 
Published: August 2023

Abstract
Bemisia tabaci, the silverleaf whitefly, is a serious pest, and vector for disease, in many agricultural crops. The current common control strategy for this pest is applications of chemical synthetic insecticides. Resistance to several insecticides has already been observed in this species. If non-chemical control options were available, their use could reduce the reliance of insecticides and help slow insecticide resistance in this whitefly. Ultraviolet (UV) radiation is nonvisible radiation with wavelengths ranging from 100 nm to 400 nm. UVC, wavelengths 100 nm to 280 nm, has been found to have insecticidal properties. UVC radiation of wavelength 254 was tested on B. tabaci eggs at 2 different distances, 49.5 cm and 30.5 cm, and at 4 different times, 15 (s), 30 (s), 60 (s), and 90 (s) per distance to see what effect they had on the eggs of B. tabaci. All UVC applications tested had a significant reduction in hatching when compared to the control based on an analysis of variance (One-way ANOVA) and pos-hoc Tukey HSD test. LD50, LD90, and LD95 were calculated. At 49.5 cm irradiation times were found to be, LD50 = 31.8 (s), LD90 = 86.9 (s), and LD95 = 80.5 (s). For the 30.5 cm distance irradiation times were, LD50 = 19.2 (s), LD90 = 63.1 (s), and LD95 = 75.5 (s). This study shows that UVC might be a viable non-chemical control option for controlling B. tabaci.
Silicon via fertigation with and without potassium application, modulates plant water content, gas exchange, and growth of common beans cultivated in the field under different soil water levels
Authors: Gonzalez-Porras Carlos Vital , Teixeira Gelza Carliane Marques , Prado Renato de Mello , Ferreira Patrícia Messias , Palaretti Luiz Fabiano , Oliveira Kamilla Silva 
Published: August 2023

Abstract
Frequent droughts have led to an expansion of irrigated common bean cultivation areas. An effective strategy to enhance water use efficiency and optimize crop growth is the application of silicon (Si) and potassium (K). However, the interaction between Si dosage, water regimes, and plant potassium status, as well as the underlying physiological mechanisms, remains unknown. This study aimed to assess the effects of Si doses applied via fertigation under various water regimes, in the presence and absence of potassium fertilization, on gas exchange, water use efficiency, and growth of bean crops in field conditions. Two experiments were conducted, one with and one without K supply, with the same treatments evaluated in both experiments. The treatments comprised a 3x4 factorial design, encompassing three water regimes: 80% (no deficit), 60% (moderate water deficit), and 40% (severe water deficit) of soil water retention capacity, and four doses of Si supplied via fertigation: 0, 4, 8, and 12 kg ha− 1. The optimal doses of Si for fertigation application, leading to increased Si absorption in plants, varied with decreasing soil water content. The respective values were 6.6, 7.0, and 7.1 kg ha− 1 for the water regimes without deficit, with moderate water deficit, and with severe water deficit. Fertigation application of Si improved plant conditions, particularly under severe water deficit, regardless of potassium status. This improvement was evident in relative water content, leaf water potential, and membrane resistance, directly impacting pigment content and gas exchange rates. The physiological effects resulted in enhanced photosynthesis in water-deficient plants, mitigating dry mass production losses. This research demonstrates, for the first time in this species, the potential use of Si in irrigated crops to enhance irrigation efficiency in areas limited by low precipitation and water scarcity. Given the global implications of climate change and the increased frequency of droughts, these findings are significant.
Assessment of hospital arrival time and associated factors of patients with acute ischemic stroke to introduce thrombolytic therapy at Jimma Medical Center, Jimma, Ethiopia
Authors: Bejiga Yonas Damtew , Geleta Megersa Negesa , Asefa Elsah Tegene , Tukeni Kedir Negesso 
Published: August 2023

Abstract
Background: Background: Acute ischemic stroke is one of acute cerebrovascular emergencies that require timely medical intervention. Thrombolytic therapy is an important treatment option, but its effectiveness dependents on prompt hospital arrival. This study was aimed to assess the arrival time and associated factors of these patients, with the objective of providing thrombolytic therapy.
Methodology: a hospital-based cross-sectional study was conducted from September 1st to January 30, 2023. All patients diagnosed with Acute Ischemic Stroke during the study period were included. Data was collected using questionnaires and entered into Epi-data for analysis. Chi-square tests and logistic regression models were used to see relationships between variables.
Results: Among 112 patients with Acute Ischemic Stroke, male accounts for 55.3%, with mean age of 61.75±10.7 years. Most of the study participants didn’t have health insurance coverage. Only few numbers of patients recognized the symptoms of stroke and sought immediate medical attention. The median time between symptom onset and arrival was 33 hours and 29 minutes. Level of education ([aOR]: 8.8; 95%, [CI]: 1.6-49.2; p=0.013), Misinterpretation of the symptoms (aOR: 4.53; 95% CI: 1.37-16.75; p=0.001) and lack of health insurance (aOR: 14.4; 95% CI: 2.2-90.9; p=0.005) was related with longer time of arrival and pre-hospital delay.
Conclusion: The time of arrival for patients with Acute Ischemic Stroke was longer. Level of education, Misinterpretation of the symptoms, and lack of public health insurance were related with longer time of arrival and pre-hospital delay.
Evaluating YOLO-based Object Detectors for Detecting Road-Killed Endangered Brazilian Animals
Authors: Ferrante Gabriel , Nakamura Luis Vasconcelos , Sampaio Sandra , Filho Geraldo , Meneguette Rodolfo 
Published: August 2023

Abstract
Wildlife roadkill is a recurring, dangerous problem that affects both humans and animals and has received increasing attention from environmentalists worldwide. Addressing this problem is difficult due to the high investments required in road infrastructure to effectively reduce wildlife vehicle collisions. Despite recent applications of machine learning techniques in low-cost and economically viable detection systems, e.g., for alerting drivers about the presence of animals and collecting statistics on endangered animal species, the success and wide adoption of these systems depend heavily on the availability of data for system training. The lack of training data negatively impacts the feature extraction of machine learning models, which is crucial for successful animal detection and classification. In this paper, we evaluate the performance of several state-of-the-art object detection models on limited data for model training. The selected models are based on the YOLO architecture, which is well-suited for and commonly used in real-time object detection. These include the YoloV4, Scaled-YoloV4, YoloV5, YoloR, YoloX, and YoloV7 models. We focus on Brazilian endangered animal species and use the BRA-Dataset for model training. We also assess the effectiveness of data augmentation and transfer learning techniques in our evaluation. The models are compared using summary metrics such as precision, recall, mAP, and FPS and are qualitatively analyzed considering classic computer vision problems. The results show that the architecture with the best results against false negatives is Scaled-YoloV4, while the best FPS detection score is the nano version of YoloV5.
A new index based on solar-induced chlorophyll fluorescence and land surface temperature to monitor drought
Authors: Zhang Zhaoxu , Sun Yuanheng , Shi Zhenwei , Xu Wei , Zhan Tianyu 
Published: August 2023

Abstract
Drought is a frequent global phenomenon. The occurrence of drought can affect the production of industry, agriculture and economic growth. Solar-induced chlorophyll fluorescence is a by-product of photosynthesis that can be used to monitor vegetation growth and drought. Traditional drought monitoring generally used solar-induced chlorophyll fluorescence anomalies and rarely used solar-induced chlorophyll fluorescence to establish an index. This study integrated solar-induced chlorophyll fluorescence and land surface temperature to establish a new solar-induced chlorophyll fluorescence drought index (SIF_DI). The new SIF_DI was subsequently used for monitoring drought in Huang-Huai-Hai plain from 2000 to 2018. Results showed that SIF_DI had negative correlation with areas affected by drought. In Hebei, Henan and Shandong provinces, the correlation coefficients were − 0.79, -0.54 and − 0.76 respectively. SIF_DI had positive correlation with crop yields (wheat and maize). The correlation coefficients were 0.47, 0.61, 0.32 (wheat) and 0.69, 0.49, 0.36 (maize) respectively. All correlation coefficients surpassed those calculated using vegetation health index. Subsequently, the SIF_DI was applied to long-term drought monitoring during the crop growing season in Huang-Huai-Hai plain. This investigation proved that the new index calculated using solar-induced chlorophyll fluorescence is a reliable and effective indicator for monitoring and assessing drought.
Geochemical characteristics and influencing factors of dissolved rare earth elements in rivers of coal-grain composite areas in eastern China
Authors: Hu Mingyu , Jiang Chunlu , Xia Xiang , Li Yanan 
Published: August 2023

Abstract
Rare earth elements are widely used in the study of source tracing and geochemical characteristics, which can reflect the degree of influence of human activities on water environment. In order to reveal the additive effects of various human activities on the geochemical characteristics of rare earth elements in the surface water environment, the content of rare earth elements in the surface river water in the coal-grain complex area of eastern China was determined by inductively coupled plasma mass spectrometry (ICP-MS). The results showed that all water samples were alkaline, ΣREE content ranged from 0.18 ~ 0.88 µg·L-1, with an average value of 0.28 µg·L-1. All of the water samples showed significant enrichment of light rare earth elements due to a combination of natural processes and external inputs. The spatial distribution and fractionation characteristics of rare earth elements show that rare earth elements (especially Ce) are prone to adsorption/complexation reactions with colloidal particles, resulting in their removal from water, Eu anomaly is related to plagioclase crystallization and human activities (coal development, agricultural production, urbanization process), and Gd anomaly is only related to human activities. The research results can provide scientific reference for revealing the distribution of rare earth elements and geochemical environmental behavior in surface water environment under the superimposed influence of various human activities.
First Report of Carrot Cyst Nematode Heterodera carotae Jones 1950 from a New Host Brassica oleracea var. viridis L. in Türkiye: Comporation of Morphological and Morphometrical Characters with World Populations
Authors: GUVERCIN Bugra , AKYAZI Faruk 
Published: August 2023

Abstract
In October 2021, root and soil samples were collected from cabbage (Brassica oleracea var. viridis L.) growing fields in the Black Sea region of Turkiye. Cyst forming nematodes were detected in soil and root samples. Cysts were extracted from soil using Cobb’s sieving method. Obtained nematodes were subjected to morphological and molecular analysis. For molecular analysis, the ribosomal DNA region spanning the internal transcribed spacers (ITS1, 5.8S, ITS2) gene and D2-D3 expansion segments of the 28S ribosomal RNA (rRNA) were amplified using primer sets TW81/AB28 and D2A/D3B, respectively. Also, Cytochrome Oxidase I (cox1) region of mitochondrial DNA (mtDNA) using species-specific primer set (Car-F/Car-R) were used to clarify the identification. PCR product was sequenced and then compared with sequences of Heterodera species available in the GenBank database. The NCBI BLAST analysis of Turkiye population sequences showed 99.82% similarity with Heterodera carotae Jones 1950 sequences registered in GenBank. The newly obtained sequences were submitted to the GenBank database under accession number OP602412.1. The present study includes scanning electron micrographs (SEM) of the external morphology of the cyst cone, second stage juvenile and male. The results obtained from morphological and molecular studies showed that the cysts nematode population was H. carotae. This is the first report of H. carotae detected in Türkiye.
Prognosis of different bone metastases patterns in EGFR-mutant advanced lung adenocarcinoma patients
Authors: Peng Jin , Hu Fang , Mao Xiaowei , Niu Yanjie , Ma Meili , Jiang Liyan 
Published: August 2023

Abstract
Introduction
Bone metastases at initial diagnosis of lung cancer was associated with worse prognosis, compared with non-bone metastases. However, whether there was survival difference in different bone metastases patterns between bone metastases without extrathoracic metastases (BM), simultaneous bone metastases and other extrathoracic metastases (BMM) in real-world setting was unclear.
Methods
Advanced lung adenocarcinoma patients with initial bone metastases who receiving first-line first-generation Epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) and EGFR T790M guided Osimertinib as second-line therapy were retrospectively screened. The first-line real-world progression-free survival (1LrwPFS), second-line real-world progression-free survival (2LrwPFS), post-progression survival (PPS) and real-world overall survival (rwOS) were evaluated.
Results
A total of 126 patients were enrolled. Patients with BMM had worse rwOS (35.2 months vs. 42.9 months, HR = 0.512, P = 0.005) and shorter 2LrwPFS (12.8months vs. 17.0 months, HR = 0.575, P = 0.011), compared with BM group. There was no statistically significant difference in 1LrwPFS (12.7months vs. 14.0months, HR = 0.838, P = 0.333) and PPS (10.6 months vs. 6.2months, HR = 0.731, P = 0.152) between BM and BMM group. Linear regression and Spearman rank correlation analysis demonstrated 2LrwPFS was strongly correlated with rwOS (r = 0.621, P = 0.000, R2 = 0.568). In multivariate analysis, patients with BMM (P = 0.002), performance status(PS) score ≥ 2 (P ＜0.001) and TP53 alteration positive (P = 0.003) were independent prognostic factors of worse rwOS.
Conclusion
Different bone metastases patterns had different survival outcome. In addition, 2LrwPFS had a high impact on rwOS for EGFR-mutant advanced lung adenocarcinoma patients receiving first-line first-generation EGFR-TKI and Osimertinib as second-line therapy.
Contemporary Definitions of Infant Growth Failure and Neurodevelopmental and Behavioral Outcomes in Extremely Premature Infants at Two Years of Age
Authors: Strobel Katie , Wood Thomas , Valentine Gregory , German Kendell , Gogcu Semsa , Hendrixson D , Kolnik Sarah , Law Janessa , Mayock Dennis , Comstock Bryan , Heagerty Patrick , Juul Sandra 
Published: August 2023

Abstract
Introduction:
The association of 2-year neurodevelopmental and behavioral outcomes with in-hospital or post-discharge growth failure (GF) using contemporary definitions for preterm infants is unknown.
Methods
In a secondary analysis of a preterm cohort, changes in anthropometric z-scores were examined between birth and hospital discharge, and from discharge to 2 years. The 2-year evaluation included Bayley Scales of Infant Development (BSID-III) and Child Behavior Checklist (CBCL).
Results
Among 629 infants, accelerated linear growth from birth to discharge was associated with higher BSID-III cognitive scores (+ 3.2 points [IQR 0.02, 6.4]) while in-hospital GF was not associated with any outcomes. Infants with weight GF after discharge had lower BSID-III motor scores (-3.1 points [-5.9, -0.2]). Infants with accelerated weight growth after discharge had increased odds of behavioral problems on the CBCL (aOR 1.9 [1.03, 3.5]).
Discussion
In-hospital and post-hospitalization growth metrics are modestly associated with neurodevelopmental outcomes with length gains apparently most beneficial.
Does Robotic Assisted Unicompartmental Knee Arthroplasty Restore Native Jointline More accurately than with Conventional Instruments?
Authors: S Ashok Kumar P , pawar Sawankumar , Kanniyan Kalaivanan , patil Shantanu , Pichai Suryanarayan , bose Vijay 
Published: August 2023

Abstract
Aim:
The study's primary aim is the restoration of native joint line in patients having robotic-assisted unicondylar knee Arthroplasty and conventional unicondylar knee Arthroplasty. Literature in the past has demonstrated that reducing the joint line can result in greater failure rates.
Methods:
This is a Prospective cohort investigation of patients who had medial UKA between March 2017 and March 2022.All patient’s preoperative and postoperative radiological joint line assessments were examined by two observers by Weber's methods. Robotic-assisted UKA performed with hand-held image-free robots was compared to conventional UKA groups.
Results
The distal position of the femoral component was higher in Group B utilizing conventional tools than in Group A employing robotic-assisted UKA. This positional difference was statistically significant. The mean difference among the pre-operative and post-operative joint lines in Group A was 1.6 ± 0.49 (range 0.8mm to 2.4mm), while it was 2.47 ± 0.51 (range 1.6mm to 3.9mm) (p 0.005) in Group B. In Group A, a greater percentage of the subjects (64%) attained a femoral component position within two millimeters from the joint line, whereas just 18% in Group B did.
Conclusion
When compared with the conventional UKA technique, the meticulous attention to detail and planning for ligament rebalancing when using the Robotic-assisted UKA technique not solely enhance surgical precision for implant placing but additionally provides excellent native joint line restoration and balancing. For validation of its longevity and survivability, the cohort must be tracked for a longer period of time.