bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electronic Correlations in Epitaxial CrN Thin Film
Authors: Kalal Shailesh , Nayak Sanjay , Sahoo Sophia , Joshi Rajeev , Choudhary Ram Janay , Rawat Rajeev , Gupta Mukul 
Published: June 2023

Abstract
Chromium nitride (CrN) spurred enormous interest due to its coupled magnetostructural and unique metal-insulator transition. The underneath electronic structure of CrN remains elusive. Herein, the electronic structure of epitaxial CrN thin film has been explored by employing resonant photoemission spectroscopy (RPES) and x-ray absorption near edge spectroscopy study in combination with the first-principle calculations. The RPES study indicates the presence of a charge-transfer screened 3dn L (L: hole in the N-2p) and 3dn−1 final-states in the valence band regime. The combined experimental electronic band structure along with the orbital resolved electronic density of states from the first-principle calculations reveals the presence of Cr(3d)-N(2p) hybridized (3dn L) states between lower Hubbard (3dn−1) and upper Hubbard (3dn+1) bands with onsite Coulomb repulsion energy (U) and charge-transfer energy (Δ) estimated as ≈ 4.5 and 3.6 eV, respectively. It verifies the participation of ligand (N-2p) states in low energy charge fluctuations and provides concrete evidence for the charge-transfer (Δ<U) insulating nature of CrN thin film.
A comprehensive analysis of multi-circulatory disorders in early pressure injury and their diagnostic significance in rat models
Authors: Chen Lu , Takashi En , Kamijo Akio , Miura Daiji , Lu Jian , Zhang Lan , Ten Hirotomo , Fan Jianglin 
Published: June 2023

Abstract
Early pressure injury (PI) progression is associated with multi-circulatory disorders and they interplay with each other, resulting in a lack of a satisfactory diagnostic method. We generated early PI and blanchable erythema (BE) models. Transparent disc method and capillary refilling time test (CRTT) results were recorded with ultraviolet camera to capture the dynamics changes, and the blanching index and refilling index were set for comprehensive analysis. The deteriorated areas of early PI showed non-blanchable erythema (NBE) and an increase in erythema at 0.5 and 6 h with the transparent disc method. CRTT showed a marked refilling delay at 12 h. The comprehensive analysis of blanching index and refilling index showed a significant change in erythema from NBE at 0.5 h and ischemia progressing to hemorrhage at 18 h. There was also a marked difference in the deteriorating and improving areas within the same erythema. Pathological analysis showed inflammatory cell infiltration, with marked edema accompanied by increased hemorrhage and tissue necrosis. Furthermore, small arteries and veins with thrombosis and microthrombi were observed. Consistent ischemia after decompression and subsequent hemorrhage are important indicators, and comprehensive analysis can help increase the positive diagnosis rate over that for other circulatory disorders alone.
Dichotomous Profile of Thoraco-lumbar Dislocation Fractures. Case Report and Review of the Literature
Authors: Maoneo Israël Azabali , Beltchika Antoine Kalubye , Kabulo Dieu-Merci Kantenga , Mukuetala Pierre ili-apanda , Ntsambi Glennie Eba 
Published: June 2023

Abstract
Background. Dislocated thoracolumbar fractures are rare injuries following major trauma. However, the resulting spinal cord injuries do not always correspond to the radiological characteristics of osteo-disco-ligamentary injuries. We report a case of thoracolumbar dislocated fracture of which radiological finding was in discrepancy with clinical aspect and postoperative evolution according to spinal cord injury.
Case presentation. A 32-year-old congolese female admitted in Neurosurgery Department of the University Hospital of Kinshasa for low back pain and functional impotence of lower limbs and urinary retention following a road traffic accident three weeks prior. The physical examination was normal. We found a painful swelling at level of T12-L2 spinous processes and Wagner's grade IV gluteal pressure sores. Neurologically, the sensation was preserved on both limbs, motor strength on lower limbs was graded 3/5 globally. She had urinary retention. We made a diagnosis of an incomplete spinal cord injury (ASIA C) secondary to a thoraco-lumbar spinal trauma. CT-Scan showed a fracture of the vertebral body and pedicles of L2 with retrolisthesis of L1/L2 grade IV (Magerl B.3.3). She underwent posterior spinal
decompression followed by spinal stabilisation with pedicle screws. The gluteal ulcers were
debrided and sutured during the same surgery. Postoperatively, the pressure ulcers healed
and the patient recovered full motor and urinary sphincter functions after several sessions of physiotherapy months.
Conclusion. This case report demonstrates the possibility of discordance between
radiological images of dislocated thoracolumbar fractures and spinal cord injury clinical.
Research on the heat dissipation performances of lithium-ion battery pack with liquid cooling system
Authors: Yang Jian 
Published: June 2023

Abstract
Lithium-ion power batteries have been applied to the new energy vehicles. However, the lithium-ion battery pack performances will be significantly decreased if the temperature is too high, according to the battery electrochemical characteristics. In order to the lithium-ion battery pack has great performances, the temperature should be kept in a appropriate range by a cooling system. Thus, this paper focused on the heat dissipation characteristics of the lithium-ion battery pack under various liquid cooling system parameters based on the synergistic analysis method. The results revealed that the liquid cooling system with the initial coolant temperature of 15℃ and the flow rate of 2L/min has better synergistic performances, and can effectively strengthen the cooling performances of the battery pack. With the charge/discharge rate increases, the battery heating power raises, the temperature and its synergy angle increase significantly. When the cooling channel inlets number is set as 3, the optimum cooling effect is got and the temperature difference of the battery pack is the smallest.
Disulfidoptosis-related gene SLC7A11, as a potential prognostic and immunological biomarker: Insights from pan-cancer analysis and validation in renal cancer
Authors: Chen Bohong , Zhou Mingguo , Wu Dapeng , Huang Haoxiang , Zhang Pan , Chen Wei , Wu Kaijie , Jiang Zhangdong , Dai Ruijie 
Published: June 2023

Abstract
Background
Solute Carrier Family 7 Member 11 (SLC7A11) is a key gene involved in disulfidoptosis and plays a crucial role in tumor development and progression. However, the prognostic value and immune function of SLC7A11 in cancer are still unclear.
Methods
In this study, we analyzed SLC7A11 expression using RNA-seq data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases. We used the Kaplan-Meier method and Cox regression analysis to assess the prognostic significance of SLC7A11 in pan-cancer patients. We also investigated the mutation and methylation status of SLC7A11 using cBioportal and GSCALite databases. Moreover, we examined the correlation between SLC7A11 and immune cell infiltration, tumor mutational burden (TMB), microsatellite instability (MSI), and immune checkpoint genes. Additionally, we investigated the effect of SLC7A11 knockdown on cell function in786-O renal carcinoma cell lines.
Results
Our findings revealed that SLC7A11 was overexpressed in almost all tumors and was associated with poor survival, advanced clinical stage, and high tumor grade. The co-expression analysis also suggested that SLC7A11 might be a potential biomarker for guiding immunotherapy due to its correlation with immune cell infiltration, TMB, MSI, and immune checkpoint genes. Furthermore, we found that downregulation of SLC7A11 expression in renal cancer cells could lead to reduced invasion, metastasis, and proliferation.
Conclusion
In conclusion, SLC7A11, as a member of pan-oncogenes, could serve as a potential biomarker and therapeutic target for a wide range of malignancies, providing new insights into precision medicine.
Construction and validation of a simple, scoreable model for predicting infection risk in patients with multiple myeloma
Authors: Tu Shengke , Li Min , Hu Mimi , Shi Ziwei , Fan Hongjie , Li Xiaolan , Song Kui 
Published: June 2023

Abstract
Purpose To study the risk factors of infection in patients with multiple myeloma and construct an infection prediction model.
Methods The clinical data of 150 patients with multiple myeloma undergoing chemotherapy in the First Affiliated Hospital of Jishou University from January 2017 to December 2022 were retrospectively analyzed, and a prediction model for infection events was constructed.
Results 19 cases of infection in the modeling group (19/75, 25.33%) and There were 25 cases of infection in the validation group (25/75, 33.33%).Binary Logistic regression analysis showed that C-reactive protein level, fasting blood glucose level, lactate dehydrogenase level, ECOG score, and the percentage of bone marrow plasma cells were independent risk factors for infection in patients with multiple myeloma (P<0.05).The infection prediction model constructed by the above variables showed good accuracy. The area under the ROC curve of the modeling group and the validation group were 0.939(95%CI: 88.59%-99.29%) and 0.770(95%CI: 65.38%-88.70%), respectively.
Conclusion C-reactive protein level, fasting blood glucose level, lactate dehydrogenase level, ECOG score and percentage of bone marrow plasma cells are risk factors for infection in patients with multiple myeloma in this study. The prediction model of infection in patients with multiple myeloma has certain value for the prediction and early intervention of infection events.
The Implications of Ending Groundwater Overdraft for Global Food Security
Authors: Perez Nicostrato , Singh Vartika , Ringler Claudia , Xie Hua , Zhu Tingju , Sutanudjaja Edwin H. , Vilholth Karen 
Published: June 2023

Abstract

Water and food security are intrinsically linked, and both are affected by climate change and unsustainable groundwater (GW) withdrawals. To achieve the United Nation’s Sustainable Development Goal 2 on ending hunger, both food and water systems need to adapt to climate change. This includes limiting GW withdrawals to sustainable levels without compromising food security. To analyze the potential of reducing GW overdraft without compromising food security globally and at regional scales, we implement a suite of biophysical-economic, food-water models to evaluate the impact of climate change on food security and the incremental effects of GW conservation. We further assess the impacts of selected climate change adaptation policy interventions that promote GW conservation. Measures aimed at arresting GW depletion without complementary policy actions would adversely affect food production, resulting in upward pressures on food prices, particularly for cereals and fruits and vegetables. Several options can mitigate price impacts, including through improved water management, agricultural research, and dietary change. We find that climate adaptation and GW conservation, coupled with policies such as investment in agricultural R&D and changing consumption patterns toward more planet-friendly diets, can potentially offset the negative impacts of reduced GW withdrawals, thereby ensuring food security for a larger share of the population.
Study protocol for the Data Health Study - A Data-driven and Systems Approach to Health Promotion among Vocational Students in Denmark
Authors: Heinze Clara , Hartmeyer Rikke Dalgaard , Sidenius Anne , Ringgaard Lene Winther , Bjerregaard Anne-Louise , Krølner Rikke Fredenslund , Allender Steven , Bauman Adrian , Klinker Charlotte Demant 
Published: June 2023

Abstract
Background: Vocational school students exhibit significant risk behaviours in terms of poor diet, frequent use of nicotine products, inadequate fruit and vegetable intake, low levels of physical activity and poor mental health. This makes vocational students a vulnerable group for the development of noncommunicable diseases. Effective health promotion programmes targeting vocational students are needed.
The Danish study ‘Data-driven and Systems Approach to Health Promotion among Vocational Students’ (Data Health) aims to develop, implement and evaluate a systems approach to support vocational schools, municipalities and local communities in implementing locally relevant health promotion actions among and for vocational students. This paper describes the Data Health programme and how implementation and preliminary effectiveness will be evaluated.
Methods: The Data Health programme offers an iterative five-step process to develop changes in the systems that shapes health behaviour and wellbeing among vocational students. The programme will be implemented and evaluated at eight Danish vocational schools in four municipalities. The implementation of the process and actions will be explored using a system-based evaluation design that assesses contextual differences and the mechanisms through which the programme leads to changes in the systems. Preliminary effectiveness at individual level (students’ self-reported health behaviour and wellbeing) and organisational level (school organisational readiness reported by school staff) will be assessed using a quasi-experimental design and cross-sectional data will be collected at all eight schools simultaneously four times during the two-year study period.
Discussion: We expect that the Data Health study will make significant contributions to complex intervention research by contributing to the paucity of research studies that have used systems approaches in school settings. The study will also provide evidence of successful elements for systems change and effectiveness to determine whether national scale-up can be recommended.
Trial registration: Registered in ClinicalTrials.gov: NCT05308459, retrospectively registered on 4th April 2022.
Disease Dynamics in a Changing Climate: Impact of Urbanization and Temperature Variability on Infectious Diseases in Coimbatore
Authors: Suresh Sudha , Meraj Gowhar , Kumar Pankaj , Singh Deepak , Khan Inam Danish , Gupta Ankita , Yadav Tarun , Kouser Asma , Avtar Ram 
Published: June 2023

Abstract
Climate change, which encompasses variations in rainfall and temperature patterns, coupled with changes in land use/land cover (LULC), significantly impacts both the environment and society. These two factors, climate change and LULC shifts, have markedly affected human health, both directly and indirectly. Monitoring regional climate patterns, LULC changes, and disease outbreaks is crucial to ensure healthy living standards through a sustainable environment. This study investigates the correlation between climate change, LULC change, and the prevalence of infectious diseases transmitted by vectors and waterborne pathogens in Coimbatore district, Tamil Nadu, India, from 1985 to 2015. The study used Landsat-4, Landsat-5 and Landsat-8 data to generate LULC maps of the study area. The maximum likelihood algorithm facilitated the creation of these maps and detected changes for the years 1985, 2000, 2009, and 2015. Rainfall and temperature data for the study area were sourced from APHRODITE's Water Resources, and statistical analysis was applied to analyse these time series data. Infectious disease data was obtained from the Indian Council of Medical Research (ICMR), the Integrated Disease Surveillance Programme (IDSP), the National Vector Borne Disease Control Programme (NVBDCP), and the National Health System Resource Centre. These data were examined to identify trends in the occurrence of infectious diseases. The key findings of the study include (1) an overall increase in temperature and minor variations in rainfall in the study area during the study period; (2) an evident increase in built-up areas, as depicted by the LULC maps, attributable to industrialisation and population growth; (3) an emergence of dengue during the study period. The increasing patterns of vector-borne and water-borne diseases could be associated with changes in LULC and climate change. Given that the relationship between infectious diseases and their links to climate change and LULC changes has not been extensively researched in the Indian context, this study intends to contribute to a deeper understanding and delineation of future strategies in Coimbatore, India.
Tertiary structure and conformational dynamics of the anti-amyloidogenic chaperone DNAJB6b at atomistic resolution
Authors: Adupa Vasista , Ustyantseva Elizaveta , Kampinga Harm , Onck Patrick 
Published: June 2023

Abstract
DNAJB6b is a molecular chaperone of the heat shock protein network, shown to play a crucial role in preventing aggregation of several disease-related intrinsically disordered proteins. Despite its importance in maintaining cellular homeostasis, the structure-functional relationship of DNAJB6b is not yet known. Using homology modeling and microsecond-long all-atom molecular dynamics (MD) simulations, we show that monomeric DNAJB6b is a transiently interconverting protein cycling between three states: a closed state, an open state (both abundant), and a novel, less abundant extended state. Interestingly, the reported regulatory autoinhibitory anchor between helix V in the G/F1 region and helices II/III of the J-domain, which obstructs the access of Hsp70 to the J-domain remains present in all three states. This possibly suggests a mechanistically intriguing regulation in which DNAJB6b only becomes exposed when loaded with substrates that require Hsp70 processing. Our MD results of DNAJB6b carrying mutations in the G/F1 region that are linked to limb-girdle muscular dystrophy type D1 (LGMDD1) show that this G/F1 region becomes highly dynamic, pointing towards a spontaneous release of the autoinhibitory helix V from helices II/III. This would increase the probability of non-functional Hsp70 interactions to DNAJB6b without substrates. Our cellular data indeed confirm that non-substrate loaded LGMDD1 mutants have aberrant interactions with Hsp70.
RNF149 confers cisplatin resistance in esophageal squamous cell carcinoma via destabilization of PHLPP2 and activating PI3K/AKT signalling
Authors: Zhu Jinrong , Tang Jiuren , Wu Yongqi , Qiu Xiangyu , Jin Xin , Zhang Rongxin 
Published: June 2023

Abstract
Chemo-resistance has been identified as a crucial factor contributing to tumor recurrence and a leading cause of worse prognosis in patients with ESCC. Therefore, unravel the critical regulators and effective strategies to overcome drug resistance will have a significant clinical impact on the disease. In our study we found that RNF149 was upregulated in ESCC and high RNF149 expression was associated with poor prognosis with ESCC patients. Functionally, we have demonstrated that overexpression of RNF149 confers CDDP resistance to ESCC; however, inhibition of RNF149 reversed this phenomenon both in vitro and in vivo. Mechanistically, we demonstrated that RNF149 interacts with PH domain and leucine rich repeat protein phosphatase 2 (PHLPP2) and induces E3 ligase-dependent protein degradation of PHLPP2, substantially activating the PI3K/AKT signalling in ESCC. Additionally, we found that inhibition of PI3K/AKT signalling by AKT siRNA or small molecule inhibitor significantly suppressed RNF149-induced CDDP resistance. Importantly, RNF149 locus was also found to be amplified not only in ESCC but also in various human cancer types. Our data suggest that RNF149 might function as an oncogenic gene. Targeting the RNF149/PHLPP2/PI3K/Akt axis may be a promising prognostic factor and valuable therapeutic target for malignant tumours.
Cost-effective clonal selection and AIS-based load balancing in cloud computing environment
Authors: Mosayebi Melika , Azmi Reza 
Published: June 2023

Abstract
One of the challenges in cloud computing is increasing efficiency, which calls for the application of task scheduling and load balancing. Numerous load-balancing methods that have been suggested for the cloud environment can increase efficiency. The Throttled policy is one of them that aids in evenly distributing user requests among virtual machines. In the first part of this article, we examined the cost of the Clonal selection algorithm with Throttled load balancing Policy and the Clonal selection algorithm with Distributed Service Broker Policy and contrasted them to the clonal selection and other immune systems mechanisms. Additionally, we suggest two additional mechanisms based on the artificial immune system. In the two proposed mechanisms, algorithms are introduced so that by benefiting from load balancing policies when receiving requests from users, in the shortest possible time and the fastest processing of data and with the lowest cost, they respond to users. In the second part, we introduce two other new algorithms that were created as a result of combining an evolutionary algorithm with the artificial immune system mechanisms. Algorithms have been evaluated and compared with other algorithms using the Cloud Analyst simulator in terms of average response time, average data center processing time, total data transfer cost, and total cost. The results attained show how much better the suggested algorithms are.
The central role of cancer driver genes in pathway networks according to persistence homology
Authors: Ramos Rodrigo Henrique , Bardelotte Yago Augusto , Ferreira Cynthia de Oliveira Lage , Simao Adenilso 
Published: June 2023

Abstract
Cancer is a complex disease caused by mutations accumulated over a lifetime. Albeit cancer cells harbor many mutations, only a small fraction, called driver mutations, are responsible for the emergence and maintenance of the disease. Pathway networks are subsets from the whole cell interactome and represent meaningful biological functions. In this study, we explore the topological complexity of pathway sub-networks using the persistence homology theory, observing driver genes' role. Results show drivers are associated with higher-order structures, and their removal is more impactful than non-drivers in the network complexity. These findings increase our understanding of drivers and can be used to discover new driver genes.
Mathematical analysis of stability of a two-species density-dependent model with inhibition
Authors: Ali Nabil Ben , Abdellatif Nahla 
Published: June 2023

Abstract
In this paper, we study mathematically and numerically a density-dependent model of the anaerobic digestion process with two species and two substrates involving inhibition. This model describes the interactions of a synthetic microbial community in bioprocesses developed for engineering objectives. By a mathematical analysis, involving a large class of growth functions, we prove the existence of a stable steady state, for any initial conditions. The stability study allows us to construct the operating diagrams by determining and plotting the curves that separate the various regions of stability of the different steady states.
Mathematics Subject Classification. 34A34, 34D20, 92B05, 92D25