bluuebunny/crossref_metadata_2025_split huggingface dataset:
Overshooting the critical threshold for the Greenland ice sheet
Authors: Bochow Nils , Poltronieri Anna , Robinson Alexander , Rypdal Martin , Boers Niklas 
Published: January 2023

Abstract
Melting of the Greenland ice sheet (GrIS) in response to anthropogenic global warming poses a severe threat in terms of global sea level rise of more than 7~m for its complete loss (Allan et al., 2021), but also in terms of North Atlantic freshening that in turn destabilises the Atlantic Overturning Circulation (Boers, 2021). Modelling and paleoclimate evidence suggest that rapidly increasing temperatures in the Arctic can trigger positive feedback mechanisms, and the GrIS is hypothesised to exhibit multiple stable states (Gregory et al., 2020). Consequently, critical transitions are expected when the global mean surface temperature crosses specific thresholds, and there is substantial hysteresis between the alternative stable states (Robinson et al., 2012).
Here, we investigate the impact of different overshoot scenarios with varying peak and convergence temperatures for a broad range of warming and subsequent cooling rates. Our results show that both the maximum GMT and the time span of overshooting given global mean temperature (GMT) targets are critical in determining GrIS stability. We find a threshold GMT around 4.5°C above pre-industrial levels for an abrupt loss of the ice sheet, preceded by several intermediate stable states. We show that overshoots of up to 7.5°C GMT above pre-industrial levels might be tolerable if GMTs are subsequently reduced below 1.5°C GMT above pre-industrial levels within a few centuries. However, our results also show that even temporarily overshooting the temperature threshold, without a transition to a new ice sheet state, still leads to dramatic sea-level rise up to several metres during the time span before returning to moderate GMTs.
An ultra-high-throughput screen for the evaluation of peptide HLA-Binder interactions
Authors: Krämer Stefan , Moritz Andreas , Stehl Luca , Hutt Meike , Hofmann Martin , Wagner Claudia , Bunk Sebastian , Maurer Dominik , Roth Günter , Wöhrle Johannes 
Published: January 2023

Abstract
Peptide-HLA (pHLA) targeting therapeutics like TCR-based adoptive cell therapy or bispecific T cell engaging receptor molecules hold great promise for the treatment of cancer. Comprehensive pre-clinical screening of therapeutic candidates is important to ensure patient safety but is challenging because of the size of the potential off-target space. By combining stabilized peptide-receptive HLA molecules with microarray printing and screening, we have developed an ultra-high-throughput screening platform named ValidaTe that enables large scale evaluation of pHLA-binder interactions. We demonstrate its potential by measuring and analyzing over 30.000 binding curves for a high-affinity T cell Engaging Receptor (TCER) towards a large pHLA library. Compared to a dataset obtained by conventional bio-layer interferometry (BLI) measurements, we illustrate that a massively increased throughput is obtained by our microarray screening without compromises in data quality, paving the way for use in pre-clinical safety screening of pHLA-targeting drugs.
Serum levels of galactose-deficient IgA are elevated in patients with IgA nephropathy but do not correlate to disease activity or progression
Authors: Eliasdottir Sigridur , Khramova Alina , Saeed Aso , Guron Gregor , Boi Roberto , Mölne Johan , Ebefors Kerstin , Nyström Jenny 
Published: January 2023

Abstract
Introduction:
IgA nephropathy (IgAN) is the most common glomerulonephritis globally. Because of the heterogeneity of the disease prognostic biomarkers are highly needed.
Aim
To investigate associations between galactose-deficient IgA1 (Gd-IgA1) concentrations in plasma and urine and disease activity and progression in patients with IgAN.
Methods
Serum and urine samples were collected at the time of kidney biopsy (baseline) in patients with IgAN (n = 40) and analysed for Gd-IgA1. Patients with chronic kidney disease (CKD) without IgAN (n = 21) and healthy controls (n = 19) were examined as controls. In 19 patients with IgAN, analyses of Gd-IgA1 were repeated after a median follow up time of approximately 10 years.
Results
Serum Gd-IgA1 and Gd-IgA1:IgA were significantly elevated at the time of kidney biopsy in patients with IgAN compared to patients with non-IgAN CKD and healthy controls (p < 0.001). Urinary Gd-IgA1:creatinine was significantly elevated in patients with IgAN compared to patients with non-IgAN CKD. Neither serum Gd-IgA1, nor serum Gd-IgA1:IgA, correlated significantly to estimated GFR, urine albumin:creatinine (UACR), or blood pressure, at baseline. Serum Gd-IgA1 and Gd-IgA1:IgA at time of biopsy did not correlate significantly to annual changes in eGFR or UACR during follow up. In patients with IgAN, serum Gd-IgA1 decreased significantly over time during approximately 10 years of follow up (Δ-20 ± 85%, p = 0.027). Urinary Gd-IgA1:creatinine showed a strong positive correlation to UACR in patients with IgAN and likely reflected unspecific glomerular barrier injury.
Conclusion
Although serum Gd-IgA1 and the Gd-IgA1:IgA ratio were significantly elevated in patients with IgAN at the time of kidney biopsy they were not related to disease activity or progression in this patient cohort.
How is India's End-of-Life Vehicle Recycling System Responding to the Sustainability Paradigm? An Explorative Study
Authors: Molla Altaf Hossain , Shams Hilal , Harun Zambri , Kasim Ahmad Nizam Che , Nallapaneni Manoj Kumar , Mohd Nizam Ab Rahman 
Published: January 2023

Abstract
The growing number of end-of-life vehicles (ELVs) engenders a genuine concern for achieving sustainable development. Properly recycling ELV is paramount to checking pollution, reducing landfills, and conserving natural resources. The present study evaluates the sustainability of India's ELV recycling system from techno-socio-economic and environmental aspects as an instrumental step for assessing performance and progress. This investigation has performed the Strength-Weakness-Opportunity-Threat (SWOT) analysis to evaluate ELV recycling in the long-term viability and examine the critical factors and potential. This research makes practical recommendations for effectively encountering persistent challenges in the ELV recycling system based on Indian values. This research adopts an explorative and Integrated bottom-up mixed approach; it interfaces qualitative and quantitative data and secondary research. This study reveals that the social, economic, technological, and environmental aspects of the sustainability of India's ELV recycling system are comparatively limited. The SWOT analysis demonstrates that potential market size and resource recovery are more significant strengths, whereas lack of an appropriate framework and limited technology are major challenges in the recycling of ELVs in India. Sustainable development and economic viability have emerged as great opportunities, while informality and environmental impact have surfaced as primary potential threats to ELV recycling in India. This paper offers insights and yields critical real-world data that may assist in rational decision-making and developing and implementing any subsequent framework.
The Development of a Labelled te reo Māori-English Bilingual Database for Language Technology
Authors: James Jesin , Shields Isabella , Yogarajan Vithya , Keegan Peter , Watson Catherine , Jones Peter-Lucas , Mahelona Keoni 
Published: January 2023

Abstract
Te reo Māori (referred to as Māori), New Zealand's indigenous language, is under-resourced in language technology. Māori speakers are bilingual, where Māori is code-switched with English. Unfortunately, there are minimal resources available for Māori language technology, language detection and code-switch detection between Māori-English pair. Both English and Māori use Roman-derived orthography making rule-based systems for detecting language and code-switching restrictive. Most Māori language detection is done manually by language experts. This research builds a Māori-English bilingual database of 66,016,807 words with word-level language annotation. The New Zealand Parliament Hansard debates reports were used to build the database. The language labels are assigned using language-specific rules and expert manual annotations. Words with the same spelling, but different meanings, exist for Māori and English. These words could not be categorised as Māori or English based on word-level language rules. Hence, manual annotations were necessary. An analysis reporting the various aspects of the database such as metadata, year-wise analysis, frequently occurring words, sentence length and N-grams is also reported. The database developed here is a valuable tool for future language and speech technology development for Aotearoa New Zealand. The methodology followed to label the database can also be followed by other low-resourced language pairs.
Lyophilized Equine Platelet-Rich Plasma (L-GF equina ) Antagonize the Reproductive Toxicity and Oxidative Stress Induced by Cyclophosphamide in Female Rats
Authors: Abdoon Ahmed Sabry , Al-Atrash Ahmed M.E , Soliman Seham S. , El-Sanea Amro M. , Din Amina A. Gamal el , Fahmy Hossam M. 
Published: January 2023

Abstract
Background: The antineoplastic agent Cyclophosphamide (CP) induces reproductive toxicity. New strategies for protecting ovarian tissue damage in women with chemotherapy-induced reproductive toxicity are essential. This study was designed to evaluate the possible protective effect of combined treatment with L-GFequina on CP-induced reproductive toxicity in the mature female rat.
Methodology: Forty mature female rats were assigned into four groups: First group, control: rats were intraperitoneally injected (IP) with 200 μl sterile saline solution on days 1 and 10; Group 2 (CP): were IP injected with 75 mg/kg on days 1 and 10 to induce POI); Group 3 (CP + L-GFequina): as in group 2 + IP injected with 200 μl rehydrated L-GFequina half-hour after CP injection on day 1 and 10); Group 4 (L-GFequina): rats were IP injected with 200 μl L-GFequina on day 1 and 10). Blood samples were collected for complete blood picture and determinations of nitric oxide and malondialdehyde. Animals were sacrificed on Day-21, genitalis was dissected, weighted and fixed in 10% formalin for histopathological and morphometric evaluation.
Results: On day 21 of the experiment, body weight, ovarian parameters (Ovarian weight, uterine weight, the number of ovarian follicles, and corpora lutea (CL) were determined, and histopathological changes, blood profile, as well as antioxidant activity assessment, were performed. CP significantly suppresses ovarian and uterine functions and increased MAD, NO levels, RBCs, hemoglobin, WBCs and platelet count compared to the control group ( P < 0.05). While, in CP + L-GFequina group, gross, histomorphometric parameters, blood, and biochemical markers were similar to that in the control. IP injection of L-GFequina alone significantly (P<0.05) increased body weight, and ovarian and uterine morphometry compared with the control.
Conclusion: co-administration of L-GFequina with CP might protect the reproductive organs in rats through its high antioxidant capacity.
AHCS-DC: an Assignment-based Hierarchical Container Scheduling Algorithm for Distributed Cloud Environments
Authors: Izadpanah Shakila , Abrishami Saeid 
Published: January 2023

Abstract
Cloud computing has transformed computer science and attracted academics, businesses, and state organs. Today, distributed cloud has received more attention than centralized cloud model due to emerging new computational requirements and the geographical dispersion of cloud users. Efficient and optimal management of cloud resources has become one of the main challenges in the field of cloud computing because of the increasing demand for various cloud resources. This challenge becomes more complex in distributed cloud environments due to the smaller size, larger quantity, and higher distribution of datacenters. In this article, an approach for scheduling user-requested containers on a ready-to-serve platform of Virtual Machines (VMs) in distributed cloud environments is presented with the aim of decreasing response time and the number of Service Level Agreement (SLA) violations. In the proposed approach, a hierarchical structure of managers is responsible for managing the allocation of available resources in datacenters and distribution of user requests among these datacenters, making the proposed method preserve its performance given any number and extent of datacenter distribution as well as any extent of the user distribution. Moreover, the problem of mapping the requested containers to VMs is modeled and solved using an assignment mechanism called school choice in the proposed approach. Considering different users’ heterogeneous preferences over existing resources and priorities in resource allocation policies, a mapping of the users’ requested containers is created over VMs using this mechanism. Simulation results indicate a significant reduction in response time and SLA violations in terms of response time.
Anxiety, depression, stress and fear of COVID-19 in non-syndromic oral cleft children' parents and caregivers
Authors: Trezena Samuel , de Oliveira Fabrício Emanuel S. , Marques Cíntia Eliza , Marques Nadia Carolina T. , Martelli Daniella Reis B. , Júnior Hercílio Martelli 
Published: January 2023

Abstract
Objectives
to assess the levels of anxiety, depression, stress and fear of COVID-19 in non-syndromic cleft lip and/or palate (NSCL/P) children parents and caregivers.
Materials and Methods
Cross-sectional case-control study conducted at a Craniofacial Anomalies Rehabilitation Center, Brazil. Non-probabilistic convenience sampling was used and data were collected between October 2021 and November 2022. Variables were assessed by Depression, Anxiety and Stress Scale (DASS-21) and Fear of COVID-19 Scale (FC-19S). Pearson's chi-square test and multivariate binary logistic regression model have been performed.
Results
Data were obtained of 80 NSCL/P parents group and 130 by control group. Severe symptoms were higher in NSCL/P parents indicated by rates (8.8% vs 69% to anxiety; 12.5% vs 8.5% to depression and 17.5% vs 10.0% to stress). As for the predilection in case group there was an association (p < 0.05) for manifestation of mild stress (OR: 4.09; 95%CI 1.28–13.06). Control group caregivers were more fear of COVID-19 (43.8% vs 28.7% p < 0.05).
Conclusion
There were no significant differences in anxiety, depression, and stress levels between groups. NSCL/P children parents and caregivers were less fear of COVID-19. There is a predilection for severe symptoms in the case group.
Clinical Relevance:
This is the first cross-sectional study analyzing fear of COVID-19 in NSCL/P children parents and caregivers. These people should receive greater attention by multiprofessional team due to the predisposition of illness in mental health.
Reduced graphene oxide / strontium titanate – investigation of improved photoactivity
Authors: Baran Tomasz , Wojtyła Szymon 
Published: January 2023

Abstract
Strontium titanate is a ternary n-type semiconductor that has recently been identified as a promising material for many photocatalytic applications such as degradation of organic pollutants or oxygen evolution reaction, especially because of high durability. However, SrTiO3 has not demonstrated high photoactivity and therefore many approaches have been studied towards improving its photo-efficiency. One of them is combining it with graphene oxide, which demonstrated huge improvement in overall photocatalytic activity, and the reasons of this effect have not yet been fully identified. In this work, we characterize SrTiO3/ graphene oxide photomaterials synthesized by a straightforward hydrothermal procedure and for the first time report many of the quintessential material features that are relevant to improved photocatalytic activity towards photocatalytic degradation of toluene. Our results provide important insights into the efficiency of charge separation, carrier transport, and photostability.
Seismic risk assessment of transportation utilities in Jammu and Kashmir
Authors: Ansari Abdullah , Rao KS , Jain AK 
Published: January 2023

Abstract

Regarding passenger safety and road serviceability, the effects of earthquakes on underground transportation systems situated in seismically active regions yield a great challenge. The 345 km long Udhampur Srinagar Baramulla Rail Link (USBRL) project in Jammu and Kashmir is a railway track with underground tunnels that traverses the tectonically active area of the northwestern part of the Himalayas under difficult geological conditions. In this study, the Semi-Quantitative Seismic Risk Assessment (SQ-SRA) approach has been used to evaluate the seismic risk and post-seismic serviceability of this project. Out of the three alignment phases, the first one is accessible, the center one is accessible but requires repair, and the last one is inaccessible, according to the risk matrices. The majority of the tunnel sections in the last phase are situated near zones prone to landslides and large tectonic sources, and they also include extensively weathered rock mass, resulting in deformation, squeezing and cavity formation during the excavation process. The progressive effect of these issues increases the probability that these tunnels may get extensive damage, which would render the track segment inoperable under post-seismic conditions. The risk matrices and maps provided will serve as a valuable tool for directing track operations.
The effect of lifestyle on the mortality associated with respiratory diseases in the general population
Authors: Murano Hiroaki , Inoue Sumito , Sato Kento , Sato Masamichi , Igarashi Akira , Fujimoto Shouichi , Iseki Kunitoshi , Moriyama Toshiki , Shibagaki Yugo , Kasahara Masato , Narita Ichiei , Yamagata Kunihiro , Tsuruya Kazuhiko , Kondo Masahide , Asahi Koichi , Watanabe Tsuyoshi , Konta Tsuneo , Watanabe Masafumi 
Published: January 2023

Abstract
Lifestyle factors, including smoking habit, diet, and physical activity, affect the prognosis of various diseases. We elucidated the effect of lifestyle factors and health status on deaths from respiratory diseases in the general Japanese population using data from a community health examination database. Data of the nationwide screening program of the Specific Health Check-up and Guidance System (Tokutei-Kenshin), targeting the general population in Japan, from 2008 to 2010 were analyzed. The underlying causes of death were coded according to the International Classification of Diseases (ICD)-10. The hazard ratios of the incidence of mortality associated with respiratory disease were estimated using the Cox regression model. This study included 664,926 participants aged 40–74 years, who were followed up for 7 years. There were 8,051 deaths, including 1,263 (15.69%) deaths from respiratory diseases. The independent risk factors of mortality associated with respiratory diseases were male sex, older age, low body mass index, no exercise habit, slow walking speed, no drinking habit, smoking history, history of cerebrovascular diseases, high hemoglobin A1c and uric acid levels, low low-density lipoprotein cholesterol level, and proteinuria. Aging and decline of physical activity are significant risk factors for mortality associated with respiratory diseases, regardless of the smoking status.
A Prognostic Nomogram of postoperative colon mucinous adenocarcinoma: A Study of the US SEER Database and a Chinese Cohort
Authors: Liu Rui , Zhang Yinjie , Zhang Jiahui , Yan Jin 
Published: January 2023

Abstract
Background: Colon mucinous adenocarcinoma (MAC) is a special pathological type of colon cancer, but the prognosis model of overall survival (OS) of MAC is lacking. The purpose of this study is to construct a prediction model to predict the 1-year, 3-year, and 5-year OS of patients with MAC.
Methods: Patients with MAC from 2010 to 2019 were extracted from Surveillance, Epidemiology, and End Results (SEER) database in US. Patients with MAC from 2016 to 2021 were extracted from Sichuan Cancer Hospital in China and which worked as the external validation cohort. All patients from SEER database were randomly divided into a training cohort and an internal validation cohort at a ratio of 7:3. A prognostic model was established with Cox regression analysis in the training cohort, which was validated by validation cohorts. The predictive abilities of the constructed models were evaluated by the concordance indexes (C-indexes), calibration curves, and decision curve analysis (DCA).
Results: A total of 1539 patients from the SEER database and 116 patients from Sichuan Cancer Hospital in China were included in the study. Age, AJCC T status, lymph node ratio (LNR), AJCC M status, and grade were independently associated with the OS of MAC in the training set, which were used to establish a model. The C-indexes of 1-, 3- and 5-year were higher than 0.70 in the training cohort, internal validation cohort, and external validation cohort, indicating the powerful performance of the present model.
Conclusions: The prediction model constructed in present study could accurately predict the 1-, 3-, and 5-year OS prognosis of MAC. External and internal validation cohortsboth show that the model has excellent performance. The model can help clinicians make rational clinical decisions.
Inter VM communication aware virtual machine placement in IaaS cloud using modified Firefly Algorithm
Authors: Nuthakki Praveena , T Pavan Kumar 
Published: January 2023

Abstract

Cloud computing is a well-adapted model to deploy organizational computing workload to a remote datacentre infrastructure. The organizational workloads are processed in virtual servers. Virtual machines are hosted in physical servers using virtualization technology favors dynamic allocation resources and migration. In certain business use cases, a set of virtual servers are deployed to handle high-performance data-intensive computing workloads. These sets of virtual machines frequently need to communicate with one another to process the workload assigned called Inter VM communication. From the cloud provider's perspective, when the clusters are VMs are placed apart in different server racks, the inter VM communication has a negative impact on bandwidth usage and networking device utilization. At the same time, the performance of the application hosted in the VMs is degraded. Therefore, placing virtual machines close to each other, reducing impacts on networking devices is desired. In this research article, we propose a modified Firefly algorithm to place the virtual machine considering the flat tree network topology. The proposed algorithm is tested with different workloads represented in correlation coefficient and compared with Invasive Weed Optimization Algorithm IWO and Particle Swarm Optimization Algorithm shows better performance in terms of a number of servers used and the data transfer rate.
New Polyconvolution Product for Fourier-cosine and Laplace Integral Operators and Their Applications
Authors: TUAN TRINH 
Published: January 2023

Abstract
The goal of this paper is to introduce a new polyconvolution for Fourier-cosine, Laplace integral operators, and its applications. The structure of polyconvolution operator and associated integral transforms is investigated in detail. The Watson-type theorem is given, to establish necessary and sufficient conditions for this operator to be unitary on L2(R), and to get its inverse represented in the conjugate symmetric form. The correlation between the existence of polyconvolution with some weighted spaces is shown, and Young’s type theorem, as well as the norm-inequalities in weighted space, are also obtained. As applications of the Fourier cosine–Laplace polyconvolution, the solvability in closed-form of some classes for integral equations of Toeplitz plus Hankel type and integro-differential equations of Barbashin type is also considered. Several examples are provided for illustrating the obtained results to ensure their validity and applicability.