bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ice shelf changes in North Greenland reveal dramatic signs of ongoing ice sheet instability
Authors: Millan Romain , Jager Eliot , Mouginot Jeremie , Wood Michael , Larsen Signe Hillerup , Mathiot Pierre , Jourdain Nicolas , Bjørk Anders 
Published: March 2023

Abstract
We study the evolution of North Greenland ice shelves that are draining 25% of the total area of the Greenland ice sheet and have long-considered to be a stable region. We show that since 1978, ice shelves in North Greenland have lost 30% of their total volume, three of them collapsing completely. For the four ice shelves that are still standing we observe a substantial and widespread increase in mass losses, that are evenly distributed between basal melting and calving. Between 2000 and 2021, there was a widespread increase in basal melt rates that closely follows a rise in the ocean temperature. Glaciers are showing a direct dynamical response to ice shelf changes with retreating grounding lines and increased ice discharge. These results suggest that glaciers are entering a phase of destabilization that may have dramatic consequences for the contribution of Greenland to sea level rise.
Hydrochemistry and groundwater quality assessment of newly developed Dwarka region, New Delhi, India
Authors: Acharya sanigdha , Khandegar Vinita , Sharma Surendra Kumar 
Published: March 2023

Abstract
The present study investigates hydrochemistry and groundwater quality of 150 samples for drinking, and irrigation in the vicinity of newly developed Dwarka, New Delhi, India. The appropriateness of samples has been evaluated as per Bureau of Indian Standards (BIS). For assessing drinking and irrigation suitability, various hydrogeochemical parameters, were determined. Based on the water quality Index (WQI) groundwater quality varied from undesirable for drinking purpose to excellent quality. The parameters of major concern were TDS and Nitrates. The overall quality of groundwater was graded as excellent, good or permissible for use in irrigation based on agricultural indices. The Piper trilinear and Chadha diagram used to understand the evolution of hydrochemistry of groundwater showed presence of both permanent and temporary hardness in the groundwater. Wilcox and Gibbs classification inferred that majority of groundwater samples fall under evaporation–crystallization category, partly influenced by water rock interaction and aquifer materials.
Melatonin ameliorates sleep-wake disturbances and autism-like behaviors in the Ctnnd2 knock out mouse model of autism spectrum disorder
Authors: Xu Man , Wang Luyi , Wang Yan , Deng Jing , Wang Xiaoya , Wang Feifei , Pan Sen , Zhao Yu , Liao Ailing , Wang Xiaoqing , Chen Di , Shen Jingjing , Yang Feng , Li Yingbo , Wang Shali 
Published: March 2023

Abstract
Autism spectrum disorder (ASD) is a prevalent neurodevelopmental disorder characterized by atypical patterns of social interaction and communication as well as restrictive and repetitive behaviors. Additionally, ASD often presents with sleep disturbances. Delta (δ) catenin protein 2 (CTNND2) encodes δ-catenin protein, a neuron-specific catenin implicated in many complex neuropsychiatric diseases. Our previous study had exhibited deletion of Ctnnd2 in mice lead to autism-like behaviors. However, to our knowledge, no studies have investigated the effects of Ctnnd2 deletion in sleep of mice. In this study, we investigated whether knockout (KO) of exon 2 of the Ctnnd2 gene could induce sleep-wake disorders in mice and identify the effects of oral melatonin (MT) supplementation on KO mice. Our results demonstrated that KO mice exhibited ASD-like behaviors and sleep-wake disorders and they were attenuated, in part, by MT supplementation. Moreover, we further proved the correlation between autism-like behaviors and sleep-wake disorders in KO mice. MT may improve ASD-like behaviors by attenuating sleep-wake dysfunction. Overall, our current study was the first to identify that knockdown of Ctnnd2 gene could induce sleep-wake disorders in mice and had a correlation between sleep and phenotypes of ASD in Ctnnd2 KO mice. Our findings suggest that treatment of sleep-wake disturbances benefits on Ctnnd2 gene-deletion caused autism-like behaviors.
Ectopic expression of a Maize Gene ZmDUF1645 in Rice Increases Grain Length and Yield, but Reduces Drought Stress Tolerance
Authors: Li Yaqi , Wang Wei , Hu Changqiong , Yang Songjin , Ma Chuan , Wu Jiacheng , Wang Yuwei , Xu Zhengjun , Li Lihua , Huang Zhengjian , Zhu Jianqing , Jia Xiaomei , Ye Xiaoying , Yang Zhiyuang , Sun Yongjian , Liu Huainian , Chen Rongjun 
Published: March 2023

Abstract
As the human population grows rapidly, food shortages will become an even greater problem, and therefore, increasing crop yield has become a focus of rice breeding programs. The maize gene, ZmDUF1645, encoding a putative member of the DUF1645 protein family with unknown function, was transformed into rice. Phenotypic analysis showed that enhanced ZmDUF1645 expression significantly altered various traits in transgenic rice plants, including increased grain length, width, weight, and number per panicle, resulting in a significant increase in yield, but a decrease in rice tolerance to drought stress. qRT-PCR results showed that the expression of related genes regulating meristem activity, such as MPKA, CDKA, a novel crop grain filling gene (GIF1), and GS3, was significantly changed in the ZmDUF1645 overexpression lines. Subcellular colocalization showed that ZmDUF1645 was primarily localized on cell membrane systems. Based on these findings, we speculate that ZmDUF1645, like the OsSGL gene in the same protein family, may regulate grain size and affect yield through the cytokinin signaling pathway. This research provides further knowledge and understanding of the unknown functions of the DUF1645 protein family and may serve as a reference for biological breeding engineering to increase maize crop yield.
Simple Hierarchical PageRank Graph Neural Networks
Authors: yang Fei , Zhang Huyin , Tao Shiming , Fan Xiying 
Published: March 2023

Abstract
Graph neural networks (GNNs) have many variants for graph representation learning. Several works introduce PageRank into GNNs to improve its neighborhood aggregation capabilities. However, these methods leverage the general PageRank to perform complex neighborhood aggregation to obtain the final feature representation, which leads to high computational cost and oversmoothing. In this paper, we propose simple hierarchical PageRank graph neural networks (SHP-GNNs), which first utilize the simple PageRank to aggregate different neighborhood ranges of each node, and then leverage a jumping architecture to combine these aggregated features to enable hierarchical structure-aware representation. In this case, first, the simple PageRank turns the neighborhood aggregation process to no-learning, thereby reducing the computational complexity of the model. Then, the jumping structure combines the aggregation features of each node's different hierarchy (neighborhood range) to learn more informative feature representation. Finally, the successful combination of the above methods alleviate the oversmoothing problem of deep GNNs. Our experimental evaluation demonstrates that SHP-GNNs achieve or match state-of-the-art results in node classification tasks, text classification tasks, and community prediction tasks. Moreover, since SHP-GNNs' neighborhood aggregation is a no-learning process, SHP-GNNs are successfully extended to node clustering tasks.
Nondestructive characterization and artificial intelligence recognition of acoustic identifiers of ancient ceramics
Authors: Jin Xiaoxue , Wang Xiufeng , Xue Chaohua 
Published: March 2023

Abstract
The identity management of cultural relics is the most basic and important content in their protection and exchange process. It is significant to provide a unique identifiable digital identity for ancient ceramics. At present, the identification information of ancient ceramics mainly consists of external visual features, there is urgent need for a feature identification information that can reflect the properties of cultural relics. Audible signal is rich in information, which not only has unique advantages in nondestructive testing, but also can be used as voiceprint information for identification, monitoring and analysis. In this paper, we took seven ancient ceramics as research objects, realized the construction of acoustic identifier (AID) and established a stable and reliable acoustic identification system of ancient ceramics. The acoustic identification model of ancient ceramics was established by using the artificial intelligence platform. This research has innovative significance for the establishment of digital encoding of ancient ceramics attribute and characteristic information, which can provide multiple practical applications of audio signal feature recognition technology in the display, protection, trading, identification and security management of ancient ceramics and other cultural relics.
Content-based Comparison of Communities in Social Networks: Ex-Yugoslavian Reactions to the Russian Invasion of Ukraine
Authors: Evkoski Bojan , Novak Petra Kralj , Ljubesic Nikola 
Published: March 2023

Abstract
We propose an approach for comparing communities in social networks based on used hashtags, shared news sources, and discussed topics and their sentiment, both derived through transformer-based language modeling. We apply this multifaceted comparison to study the reactions of the Ex-Yugoslavian retweet communities to the Russian invasion of Ukraine. Our results show that even though Ex-Yugoslavian countries share a common macro-language, their retweet communities respond very heterogeneously to the invasion. We demonstrate the limitations of observing communities using topology only and illustrate the benefits and complementarity of including content when analyzing social networks. As an example, we have identified a community linked to the Serbian governing power that deliberately avoids the invasion topic, which would not be possible by analyzing hashtags only. We conclude that a multifaceted approach provides a more nuanced understanding of social network communities that can be applied to gain insights into complex social events beyond the case study presented in this paper.
The Risk of Aggregating Networks when Diffusion is Tie-Specific
Authors: Larson Jennifer M , Rodriguez Pedro L 
Published: March 2023

Abstract
Empirical studies of the spread of something through social networks, a process often called diffusion, tend to rely on network data assembled from the measurement of multiple kinds of social ties. These can be different kinds of relationships, such as friendship and kinship, or different instances of concrete interactions, such as borrowing money and eating meals together. Aggregating multiple measures of ties into a single social network has become standard practice, typically done by taking a union of the various tie types. Although this has intuitive appeal, we show that in many realistic cases, this approach adds sufficient error to bias and mask true network effects. We further demonstrate that the problem depends on: (1) whether the diffusion occurs generically or in a tie-specific way, and (2) the extent of overlap between the measured network ties. Aggregating multiple measures of ties when diffusion is tie-specific and overlap is low will, on average, attenuate and potentially mask network effects that are in fact present.
Intentional Enterotomies: Validation of a Novel Robotic Surgery Training Exercise
Authors: Laverty Robert Burnham , Khan Mustafa T. , Patnaik Ronit , Lee Christina Sooyeon , Leonardo Cassandra Dee , Krell Robert W. , Stull Mamie C. 
Published: March 2023

Abstract
Purpose: While laparoscopic simulation-based training is a well-established component of general surgery training, no such requirement or standardized curriculum exists for robotic surgery. Furthermore, there is a lack of high-fidelity electrocautery simulation training exercises in the literature. Using Messick’s validity framework, we sought to determine the content, response process, internal content and construct validity of a novel inanimate tissue model that utilizes electrocautery for potential incorporation in such curricula.
Methods: Multi-institutional, prospective study involving medical students (MS) and general surgery residents (PGY1-3). Participants performed an exercise using a biotissue bowel model on the da Vinci Xi robotic console during which they created an enterotomy using electrocautery followed by approximation with interrupted sutures. Participant performance was recorded and then scored by crowd-sourced assessors of technical skill along with three of the authors. Construct validity was determined via difference in Global Evaluative Assessment of Robotic Skills (GEARS) score, time to completion and total number of errors between the two cohorts. Upon completion of the exercise, participants were surveyed on their perception of the exercise and its impact on their robotic training to determine content validity.
Results: 31 participants were enrolled and separated into two cohorts: MS + PGY1 vs PGY2-3. Time spent on the robotic trainer (0.8 vs 8.13 hours, p=0.002), number of bedside robotic assists (5.7 vs 14.8, p<0.001), and number of robotic cases as primary surgeon (0.3 vs 13.1, p<0.001) were statistically significant between the two groups. Differences in GEARS scores (18.5 vs 19.9, p=0.001), time to completion (26.1 vs 14.4 min, p<0.001), and total errors (21.5 vs 11.9, p=0.018) between the groups were statistically significant as well. Of the 23 participants that completed the post-exercise survey, 87% and 91.3% reported improvement in robotic surgical ability and confidence, respectively. On a 10-point Likert scale, respondents rated the realism of the exercise 7.5, educational benefit 9.1, and effectiveness in teaching robotic skills 8.7. Controlling for the upfront investment of certain training materials, each exercise iteration cost ~$30.
Conclusions: This study confirmed the content, response process, internal structure and construct validity of a novel, high-fidelity and cost-effective inanimate tissue exercise which successfully incorporates electrocautery. Consideration should be given to its addition to robotic surgery training programs.
The impact of palliative care via video telemedicine: A prospective study
Authors: Chida Akihiko , Hamamoto Yasuo , Hirata Kenro , Sato Yasunori , So Eiichiro , Kishimoto Shotaro , Noguchi Satoko , Horie Sara , Saito Yuki , Shimozaki Keitaro , Tsugaru Kai , Togasaki Kazuhiro , Kawasaki Kenta , Hayashi Hideyuki , Kanai Takanori 
Published: March 2023

Abstract
Purpose: Palliative care should be provided for terminal cancer patients, but the remaining question is how oncologists are providing palliative care. Herein, we evaluated the effectiveness of palliative care provided via video telemedicine.
Methods: Terminal cancer patients receiving the best supportive care were enrolled and divided into two groups: telemedicine and no telemedicine. The primary endpoint was quality of life (QOL), which was evaluated using the difference in the Functional Assessment of Cancer Therapy–General (FACT-G) scores between baseline and at the 1-month follow-up. Secondary endpoints included depression measured using the Center for Epidemiologic Studies depression (CES-D) scale, overall survival (OS), and patient satisfaction.
Results: Overall, 50 patients were included in this study,with 25 patients in each group. FACT-G decreased by 0.30 vs 5.90 points in the telemedicine and no telemedicine groups, respectively. Although there was no significant difference (P = 0.088), the telemedicine group tended to maintain better QOL. CES-D increased by 0.96 vs 3.52 points in the telemedicine and no telemedicine groups, respectively. Depressive tendency was lower in the telemedicine group; however, there was no significant difference (P = 0.27). Median survival time (MST) was 7.82 (3.30 – 14.59) vs 6.37 (2.33 – 11.04) months in the telemedicine and no telemedicine groups, respectively, and the HR was 0.67 (95%CI 0.33 – 1.34, P = 0.25).
Conclusion: There was a trend toward improved QOL in patients receiving video telemedicine. It is desirable to further evaluate the effectiveness of palliative care with telemedicine and link it to clinical applications.
Survival analysis of radiotherapy alone versus radiotherapy combined with temozolomide chemotherapy for low-grade gliomas: a meta-analysis
Authors: Ma Mincai , Tang Jun , Peng Jie , Yu Wanli , Zhang Wei , Huang Ning , Chen Jin 
Published: March 2023

Abstract
Purpose: According to the WHO classification, low-grade gliomas (LGGs) are slow-growing primary brain tumors, including grades I and II; accounting for 25-30% of adult gliomas, including astrocytomas,Oligodendrogliomas,angiocentric gliomas, among others, have widely variable prognosis, with survival ranging from less than one year to more than 20 years after initial diagnosis. Generally, surgical resection is the main method, Postoperative adjuvant radiotherapy (RT), observation, chemotherapy or chemoradiotherapy (combined with temozolomide (TMZ), CRT). This study aimed to compare the efficacy of radiotherapy alone and radiotherapy combined with temozole chemotherapy in low-grade gliomas.
Methods:Eligible literature was searched in PubMed, the Cochrane Library database and Embase from database start to August 2022. Primary outcome measures were rigorously extracted after screening for available studies that met inclusion and exclusion criteria. Survival data were determined and extracted with odds ratios (HR) with 95% confidence intervals (CI) using a fixed-effects model, and if HR was not reported in the article, we used Engauge Digitizer 11.3 (QT) to extract events from Kaplan-Meier survival curves time data. Results The efficacy of RT versus CRT in low-grade gliomas was evaluated using a forest plot made by revman 5.3.
Results:A total of 6 articles were included, including 3 case-control studies, 1 cohort study, and 2 RCTs, including a total of 1310 patients, including 133 conservative treatment cases, 17 cases of TMZ chemotherapy alone, 424 cases of RT treatment alone, and CRT treatment. 736 cases. Our results showed that CRT significantly improved OS (HR: 0.62 95%CI 0.51-0.75; P<0.00001) and PFS (HR: 0.66 95%CI 0.53-0.84; P =0.0007).
Conclusions:In conclusion, the addition of temozolomide chemotherapy to radiotherapy for postoperative adjuvant therapy of low-grade glioma improves OS and FPS. In addition to improving survival and progression-free survival, future research needs to better understand the risk and mechanisms of TMZ-induced hypermutation in low-grade gliomas, and the focus should be on the prevention of malignant transformation.
Evaluation of Retinal Vascular and Structural Alterations in Pediatric Idiopathic Intracranial Hypertension Patients without Papilledema
Authors: Kocer Ali Mert , Yılmaz Arzu , Atesoglu Halil Ibrahim , Turkay Mine , Çıtırık Mehmet 
Published: March 2023

Abstract
Purpose
The aim of this study was to evaluate retinal structural and microvascular alterations using optical coherence tomography-angiography (OCTA) in pediatric idiopathic intracranial hypertension (IIH) patients with regressed papilledema.
Methods
This study included 40 eyes of 21 IIH patients and 69 eyes of 36 healthy controls. Radial peripapillary capillary (RPC) vessel density and peripapillary retinal nerve fiber layer (RNFL) thickness were evaluated by XR Avanti AngioVue OCTA (Optovue, Fremont, CA, USA). The data were obtained from measurement zones that are automatically divided into two equal hemispheres (superior and inferior) and eight quadrants (superior-temporal, superior-nasal, inferior-temporal, inferior-nasal, nasal-superior, nasal-inferior, temporal-superior, temporal-inferior). Initial cerebrospinal fluid (CSF) pressure, grade of papilledema, and duration of follow-up were recorded.
Results
There were significant differences in RPC vessel densities and RNFL thicknesses between the study groups (p ˃ 0.05). Significantly higher RPC vessel density measurements were observed in the patient group for the whole image, peripapillary, inferior-hemi, and whole nasal quadrants (p < 0.05). Except for the temporal-superior, temporal-inferior, inferior-temporal, and superior-temporal quadrants, the RNFL in all regions was significantly thicker in the IIH group than in the control group (p ˂ 0.001).
Conclusions
RNFL thickness and RPC vessel density were significantly different between the IIH patient and control groups, suggesting that retinal microvascular and subclinical structural changes that were potentially secondary to CSF pressure can persist after the resolution of papilledema. However, our results should be confirmed by further longitudinal studies investigating the progress of these alterations to determine their effects on peripapillary tissues.
Analytics Modules for Business Students
Authors: Carroll Paula 
Published: March 2023

Abstract
Data Science is a relatively new requirement for business students. Historically many business students shied away from business statistics and quantitative or Operational Research (OR) modules believing them to be boring and irrelevant. The high profile use of analytics and modelling during the Covid pandemic has drawn awareness to the relevance of analytics. Greater availability of data and modelling tools afford business students an opportunity to re-engage with Operational Research and Analytics and to enjoy the satisfaction of modelling and solving real world problems, but the challenge of the mathematical modelling skills gap of business students remains. In this paper we describe a learning pathway of modules in business analytics that can enhance business students’ confidence and capabilities in performing statistical and analytical business tasks. We recommend modelling tools and incremental innovative mathematical modelling teaching approaches that are pedagogically sound and suitable for business students with varying quantitative backgrounds.