bluuebunny/crossref_metadata_2025_split huggingface dataset:
Institutional network and their links with potentially vulnerable spaces in the agriculture sector of the Honduras’ dry corridor
Authors: Gonzalez Carlos Eduardo , Renteria-Ramos Rafael , Rivera Irma Ayes , Coq Jean Francois Le 
Published: October 2023

Abstract
The Honduras’ dry corridor presents a high natural climate variability since its location in the Pacific region of Central America, where nearly half of the Honduran populations develop their socio-economic activities. To be able to face the challenges of climate change adaptation in the agriculture sector and food and nutritional security, a coordination of actions is a requirement. The multiplicity of actors and their interventions generates an institutional network. But the question is if this institutional network is coherent of targeting intervention in the most vulnerable areas. This research aims to analyze the structural institutional network through a Social-Network Analysis approach to investigate the coherence, consistency, and relevance of public and private interventions related to agriculture, climate change and food security in 153 municipalities of the Honduras’ dry corridor. The bipartite analysis between institutions and municipalities, evidenced a dynamic core within two types of ego networks. An ego network in favor of one municipality, in which case only one was observed related to the Central District where the capital is located. While the second type is related to an ego network in favor to only one institution, that was observed in four cases. The latter is more evident for the municipalities near the frontiers with El Salvador and Guatemala. Regarding the spatial coherence between the institutional’ interventions and the climate change vulnerability of the municipalities, our results reveal spatial misfit, as only 9% of the actions directly linked to cope climate change adaptation are undertaken in highly potentially vulnerable municipalities. These results suggest that there is still improvement for collaborative actions in the institutional network as well as for spatial prioritization of interventions towards vulnerable municipalities.
Pelvic exenteration surgery outcomes following establishment of a Complex Pelvic Surgery multidisciplinary tertiary unit
Authors: Mackowski Alicia , Limmer Alexandra , Lata Tahmina Jahan , McCarthy Alexander , Gilmore Andrew 
Published: October 2023

Abstract
Background:
Pelvic exenteration surgery (PES) is a complex operation associated with significant morbidity. PES requires sub-specialised multidisciplinary input along with expertise in complex pelvic surgery and anatomy. The majority of published data on PES comes from high volume units, however there is emerging evidence of acceptable short and long-term outcomes in lower volume units where dedicated multidisciplinary teams are established. This study reports outcomes of PES in a lower volume centre with a collaborative multidisciplinary surgical approach.
Methods:
A retrospective review of patients who underwent PES for benign or malignant pathology at Liverpool and Macquarie University Hospitals between September 2015 and June 2022. Descriptive statistics were performed and Kaplan-Meier survival analysis for patients treated for malignancy with curative intent.
Results:
A total of 67 patients undergoing pelvic exenteration were included (53.8% female; with mean age 59 years). Indications for PES were colorectal cancer (56.7%), gynaecological cancer (22.4%), other malignancy (9.0%) and complex benign pathology (11.9%).
Posterior or total pelvic exenteration was performed in 88.1%. Median hospital stay 16 days. Clavien-Dindo grade III or IV complications occurred in 34.3%. There were two post-operative deaths (3.0%; one palliative intent). For patients treated with curative intent (n=51), R0 resection margin was achieved in 92.2%, and R1 margin in 7.8%. Estimated five year disease-free survival was 57.1%, and five year overall survival was 65.5%.
Conclusion:
Short and long-term outcomes of PES in a low volume unit with appropriate multidisciplinary expertise are comparable to published data on pelvic exenteration from higher volume units.
Assessing perceptual chromatic equiluminance using a reflexive pupillary response
Authors: Ye Liu , Mahony Bridget W. , Wang Xiaochun , Daye Pierre , Wang Wei , Cavanagh Patrick , Pouget Pierre , Andolina Ian Max 
Published: October 2023

Abstract
Equiluminant stimuli help assess the integrity of color perception and the relationship of color to other visual features. As a result of individual variation, it is necessary to calibrate experimental visual stimuli to suit each individual’s unique equiluminant ratio. Most traditional methods rely on training observers to report their subjective equiluminance point. Such paradigms cannot easily be implemented on pre-verbal or non-verbal observers. One alternative, optokinetic nystagmus (OKN) of the eye in response to motion, is partially compromised by recent observations that changes in attentional fixation affect the OKN. Here, we present a novel Pupil Frequency-Tagging Method (PFTM) for detecting a participant’s unique equiluminance point without verbal instruction and with minimal training. PFTM analyzes reflexive pupil oscillations induced by slow (< 2 Hz) temporal alternations between colored stimuli. Two equiluminant stimuli will induce a similar pupil dilation response regardless of color; therefore, an observer’s equiluminant point can be identified as the luminance ratio between two colors for which the oscillatory amplitude of the pupil at the tagged frequency is minimal. We compared pupillometry-based equiluminance ratios to those obtained with two established techniques in humans: minimum flicker and minimum motion. In addition, we estimated the equiluminance point in non-human primates, demonstrating that this novel technique can be successfully employed in non-verbal subjects.
Accelerating antibiotic discovery by leveraging machine learning models: application to identify novel inorganic complexes
Authors: Nedyalkova Miroslava , Demirci Gozde , Cortat Youri , Schindler Kevin , Rhamani Fatlinda , Horner Justine , Crochet Aurelien , Pavic Aleksandar , Steiner Olimpia Mamula , Zobi Fabio , Lattuada Marco 
Published: October 2023

Abstract

The expanded prevalence of resistant bacteria and the inherent challenges of complicated infections highlight the urgent need to develop alternative antibiotic options. Through conventional screening approaches, the discovery of new antibiotics has proven to be challenging. Anti-infective drugs, including antibacterials, antivirals, antifungals, and antiparasitics, have become less effective due to the spread of drug resistance. In this work, we helped define the design of next-generation antibiotic analogs based on metal complexes. For this purpose, we used artificial intelligence (AI) methods, demonstrating superior ability to tackle resistance in Gram-positive and Gram-negative bacteria, including multidrug-resistant strains. The existing AI approaches' bottleneck relies on the current antibiotics' structural similarities. Herein, we developed a machine learning approach that predicts the minimum inhibitory concentration (MIC) of Re-complexes towards two S. aureus strains (ATCC 43300 - MRSA and ATCC 25923 - MSSA). A Multi-layer Perceptron (MLP) was tailored with the structural features of the Re-complexes to develop the prediction model. Although our approach is demonstrated with a specific example of rhenium carbonyl complexes, the predictive model can be readily adjusted to other candidate metal complexes. The work shows the application of the developed approach in the de novo design of a metal-based antibiotic with targeted activity against a challenging pathogen.
Identification of hub fatty acid metabolism-related genes and immune infiltration in IgA nephropathy
Authors: Qian Xiaoqian , Bian Shuyang , Guo Qin , Zhu Dongdong , Bian Fan , Li Jingyang , Jiang Gengru 
Published: October 2023

Abstract
Aims: To identify the potential mechanism of fatty acid metabolism (FAM)-related genes in IgA nephropathy (IgAN) and to explore its immune cell infiltration feature.
Methods: IgAN datasets and FAM-related genes were respectively downloaded from GEO and MSigDB database. Differential expression analysis and WGCNA were used to identify overlapping genes. GO and KEGG analysis were conducted to explore the differences between IgAN and control. Furthermore, we utilized LASSO logistic regression to select a FAM-related gene predictive model. ROC was utilized to assess the efficacy of prognostic model. Immune cells and immune-related functions were analysed using CIBERSORT tool. Finally, the screened key genes were confirmed in blood derived IgAN and control patient, as well as in human mesangial cells (HMCs) after Gd-IgA stimulation by Real-time PCR.
Results: A total of 12 hub genes associated with FAM were obtained in IgAN. A 4 gene predictive model was conducted via LASSO regression analysis and the AUC values showed that the model had a relatively good diagnostic performance. The immune infiltration results revealed that several immune cells are significantly associated with IgAN. Real-time PCR assay further confirmed that the expression of hub genes were significantly lower in IgAN patients and Gd-IgA treated HMCsthan those in control.
Conclusion:
This study utilized bioinformatics tools to unveiled immune cell infiltration that occurred in IgAN and investigate the potential genetic link between FAM and IgAN. It may predict the risk of IgAN and improve the diagnosis and prognosis of this condition.
The Use of End-Tidal CO2 and Integrated Pulmonary Index to Predict Postspinal Hypotension in Cesarean Section
Authors: ASLANLAR Emine , ALHARACH Camille. Kamel , ASLANLAR Durmuş ali , KARA İnci , ÖNAL Özkan 
Published: October 2023

Abstract
Purpose
Postspinal hypotension (PSH) is one of the most important complications in obstetric anesthesia, and early diagnosis and treatment reduces the risk of maternofetal complications.
Integrated pulmonary index (IPI) is an algorithm that uses real-time measurements of four parameters: end tidal carbon dioxide (EtCO2), respiratory rate (RR), heart rate (HR) and peripheral oxygen saturation (SpO2).
In this study, the effect of EtCO2 and IPI in predicting PSH was investigated.
Methods
Patients scheduled for cesarean section under spinal anesthesia under elective conditions were included in the study.
A capnography device (Capnostream 35; Medtronic, Inc.) was used for IPI assessment. A decrease of 20% or more in the baseline blood pressure value or a decrease in systolic blood pressure below 100 mmHg after spinal anesthesia was considered postspinal hypotension. The correlation between developing hypotension and EtCO2 and IPI measurements was analyzed.
Results
PSH developed in 63.4% of the 82 patients included in the study. EtCO2 and IPI values decreased significantly compared to baseline values in patients who developed PSH. While IPI difference was not found to be an independent risk factor in predicting PSH, the amount of change in EtCO2 was found to be diagnostic (AUC: 0.90 (0.83-0.97; p<0.001).
According to the cut-off value of 2.5 for the amount of change in EtCO2, sensitivity was 80.8%, specificity 90.0%, positive predictive value 93.3% and negative predictive value 73.0%.
Conclusion
EtCO2 monitoring can be used as a reliable new technique for early diagnosis and treatment of postspinal hypotension in cesarean section.
ClinicalTrials Registration: NCT05237856
Lean subjects compared to obese with NAFLD have better beta cell function, similar insulin resistance and less fibrosis.
Authors: Das Kausik , Barik Anamitra , Mitra Souveek , Ghosh Ranajoy Ghosh , Rai Rajesh K , Hembram Jabaranjan , Dhali Gopal K , Mukherjee Partha S , Santra Amal , Chowdhury Abhijit 
Published: October 2023

Abstract
Background:
Heterogeneous information on Insulin resistance (IR), adiposity and histological severity in Non-alcoholic Fatty Liver Disease (NAFLD) in lean individuals (NAFLD-L) continues to confound the clinical approach and therapy targets for NAFLD-L, despite its’ growing public health significance, unlike NAFLD in overweight/obese individuals (NAFLD-O).
Method:
NAFLD-L was evaluated against NAFLD-O in a community cohort (CC) and Tertiary cohort (TC), simultaneously. Leanness was defined as normal BMI with absence of abdominal obesity, using cut-offs for Asians. CC (n=6134), selected from a population project (https://www.shds.co.in/about-birpop/), underwent noninvasive evaluation (HOMA2-IR, Transient Elastography and Dual Energy X-ray Absorptiometry). TC (n=305), selected from two tertiary institutes belonging to the referral hierarchy for the said community, underwent additional evaluation for IR/beta-cell function (BCF) by ‘Frequently Sampled Intravenous Glucose Tolerance Test (FSIVGTT) and histology.
Results:
NAFLD-L had more android fat than gynoid compared to NAFLD-O [Android to Gynoid Fat mass ratio: median(IQR); 1.38(1.33, 1.39) vs 1.22(1.12, 1.40) in NAFLD-L and NAFLD-O of CC, respectively, p=0.032]. NAFLD-L and NAFLD-O had comparable IR [Median(IQR); 2.47(1.19, 14.80) vs 2.18(1.29, 3.29) mM.mu/l*2 in NAFLD-L and NAFLD-O, respectively, p=0.76] and Non-alcoholic Steatohepatitis (NASH) prevalence. BCF was better in NAFLD-L [Median(IQR); 90.46(59.90, 272) vs 86.63(53.22, 138.15) mu/mM in NAFLD-L and NAFLD-O, respectively, p=0.034]. Cirrhosis was detected only in NAFLD-O.
Conclusion:
NAFLD-L has IR and NASH prevalence similar to NAFLD-O underscoring uniform pathophysiology and IR as potentially common therapeutic target. Metabolic advantage of having lower prevalence of MS and better BCF is negated by preferential accumulation of more insulin resistant android fat in NAFLD-L.
Middle-age abolishes cardioprotection conferred by thioredoxin-1 in mice
Authors: Perez Virginia , Zaobornyj Tamara , Vico Tamara , Vanasco Virginia , Marchini Timoteo , Eugenia Godoy Olazar , Alvarez Silvia , Evelson Pablo , Donato Martin , Gelpi Ricardo J , D'Annunzio Veronica 
Published: October 2023

Abstract
Thioredoxin-1 (Trx1) has cardioprotective effects on ischemia/reperfusion (I/R) injury, although its role in ischemic postconditioning (PostC) in middle-aged mice is not understood. This study aimed to evaluate if combining two cardioprotective strategies, such as Trx1 overexpression and PostC, could exert a synergistic effect in reducing infarct size in middle-aged mice. Young or middle-aged wild-type mice (Wt), transgenic mice overexpressing Trx1, and dominant negative (DN-Trx1) mutant of Trx1 mice were used. Mice hearts were subjected to I/R or PostC protocol. Infarct size, hydrogen peroxide (H2O2) production, protein nitration, Trx1 activity, mitochondrial function, and Trx1, pAkt and pGSK3β expression were measured. PostC could not reduce infarct size even in the presence of Trx1 overexpression in middle-aged mice. This finding was accompanied by a lack of Akt and GSK3β phosphorylation, and Trx1 expression (in Wt group). Trx1 activity was diminished and H2O2 production and protein nitration were increased in middle age. The respiratory control rate dropped after I/R in Wt-Young and PostC restored this value, but not in middle-aged groups. Our results showed that Trx1 plays a key role in the PostC protection mechanism in young but not middle-aged mice, even in the presence of Trx1 overexpression.
The therapeutic effects of anti-target and target injections on osteoporotic vertebral compression fracture
Authors: Xu Chaojian , Chen Yun , Feng Yi , Zhao Bin , Liu Yixin , Hou Fushan 
Published: October 2023

Abstract
Objective
To assess the clinical efficacy of anti-target and target injections on osteoporotic vertebral compression fracture (OVCF).
Method
A total of 104 OVCF cases, treated via target or anti-target injections, between Jun 2015 and Mar 2022, in the Second Hospital of Shanxi Medical University (the same team), were retrospectively analyzed. The gender, age, bone density, operation time, and percutaneous vertebroplasty (PVP )injection volume of all cases were carefully recorded, and the percutaneous vertebroplasty (PVP) permeability was compared. Next, we investigated the VAS scores before the operation, as well as 24 h, 3 months, and at the last follow-up after the operation, and compared the vertebral compression relief (anterior vertebral compression relief, central vertebral compression relief, and kyphosis correction degree), based on the acquired X-ray data.
Results
In the anti-target injection group, the average age was 68.77 ± 5.96 years old, the PVP injection volume was 4.646 ± 0.404 mL, and the operation time was 40.55 ± 5.615 min. We observed no significant difference in the VAS score between the target and anti-target injection groups at 24 h, 3 months, and at the last follow-up after the operation. However, the kyphosis correction degree, as well as the anterior and central vertebral compressions relief of the anti-target and target injection groups exhibited statistically significant differences. In particular, the injected PVP permeability was significantly lower in the anti-target injection group (1.8%), compared to the target injection group (22%) (P = 0.001).
Conclusions
Both anti-target and target injection groups demonstrated consistent OVCF clinical efficacy. However, the anti-target injection group had drastically reduced PVP permeability and enhanced safety.
The intervention of OPG/RANKL/RANK signaling pathway by QGYKL mediated complement C3 and succinylation process on osteoporosis
Authors: Tong Minghao , Meng Shilong , Yu Yang , Yinkai Zhang , Shi Xiaolin , Liu； Kang 
Published: October 2023

Abstract
Introduction:
Qiangguyin Keli(QGYKL)is a traditional Chinese medicine formula used in the clinical treatment of osteoporosis for over 20 years. The specific protective mechanism of QGYKL against osteoporosis is still unclear. Previous studies have found that silencing complement C3 can improve osteoporosis.
Objective
This study aims to investigate the effect of QGYKL on complement C3-related osteoporosis and explore its potential mechanisms.
Results
Researchers performed bilateral oophorectomy or sham surgery on female mice as a control, and then orally administered QGYKL (20 ml/kg/day) for 8 consecutive weeks, And found that oral administration of QGYKL can reduce complement C3, affect the succinylation key protein SIRT5, and improve osteoporosis; In cell experiments, researchers found that C3 levels increase when osteoclasts or osteoblasts differentiate. Among them, the C3 content changes more significantly during the differentiation process of osteoclasts. Inhibiting the expression of the C3 gene can upregulate the expression of OPG in BM-MSC cells, promote the expression of succinylation key protein SIRT5, and reduce the expression of RANKL.
Conclusion
These results indicate that QGYKL may improve osteoporosis by affecting the content of complement C3 and the succinylation process of complement C3, and subsequently intervening in the expression of OPG and RANKL.
Customizing ICU Patient Monitoring: A User-Centered Approach Informed by Nurse Profiles
Authors: Bostan Idil , Egmond René van , Gommers Diederik , Özcan Elif 
Published: October 2023

Abstract

Intensive Care Unit (ICU) nurses are burdened by excessive number of false and irrelevant alarms generated by patient monitoring systems. Nurses rely on patient monitoring systems for timely and relevant information about patients. However, systems currently in place are not sensitive to nurse capabilities and fail to communicate information efficiently. Ensuring efficient communication and effective collaboration between patient monitoring systems and ICU nurses is possible through improving system design to be sensitive to nurse capabilities and preferences. Recognizing nurses as users of patient monitoring systems, we aim to gain in-depth understanding of the user group. We conducted a survey study involving nurses from two IC units to reveal their individual characteristics. Subsequently, we performed hierarchical cluster analysis to develop data-driven nurse profiles. We discuss the implications of nurse characteristics on system use. We suggest design recommendations tailored to four distinct user profiles to address their unique needs through system design. By optimizing the system interactions to match the natural tendencies of nurses, our we aim to alleviate the cognitive burden induced by system use to ensure that healthcare providers receive relevant information, ultimately improving patient safety.
Ambient mass spectrometry imaging of banana (Musa spp.) tissue with infrared laser-based selected reaction monitoring
Authors: Nizioł Joanna , Misiorek Maria , Krupa Zuzanna , Ruman Tomasz 
Published: October 2023

Abstract
In this study, for the first time we present the application of an infrared (IR) laser ablation-remote-electrospray ionization (LARESI) platform coupled to a tandem mass spectrometer (MS/MS) operated in selected reaction monitoring (SRM) mode for targeted metabolite imaging in intact plant tissues. We examined the distribution of specific metabolites in two banana varieties: Red Dacca and Cavendish. To support MSI results, an extensive analysis of banana tissue extracts was conducted using ultra-high-performance liquid chromatography and ultra-high-resolution mass spectrometry (UHPLC-UHRMS). In the Cavendish banana, 12 metabolites were successfully identified, while Red Dacca Bananas were found to contain 16 amino acids. The spatial distribution of some of these compounds found in bananas was presented for the first time. This approach eliminates the need for high vacuum conditions and the pretreatment of biological materials, making it an efficient and promising tool for studying metabolites in plant tissues.
Collisional broadening of absorption line of carbon dioxide using nitrogen as a buffer gas at a specific wavelength
Authors: Essa Monjed , ALJALALI SINAN 
Published: October 2023

Abstract
This study is an exploratory study to assess the possibility to further development of the global HITRAN database, in near future, through examines the collisional broadening of absorption Linewidth of carbon dioxide by nitrogen as a buffer gas (regardless line shifts) as well as to estimate experimentally the coefficient of that broadening at infrared region around a wavelength of 1639.78 nm, employing both Direct Laser Absorption (DLAS), and long optical path spectroscopies with an experimental setup consisting of a tunable diode laser, Herriott multipass cell with an optical path of 30 m, and compatible photodetectors. The obtained results were within the expected range, which confirms the accuracy of our measurements.
Incorporation of Nanofillers in Gel Polymer Electrolyte Systems Based on PMMA/PLA Doped with LiBOB: Correlation of Structural and Ionic Conduction Properties
Authors: Khan N. M. , Kufian M. Z. , Samsudin A.S. 
Published: October 2023

Abstract
In this study, 2 wt.% to 12 wt.% of silica nanofiller (SiO2) compositions were incorporated into PMMA/PLA-20%LiBOB gel polymer electrolyte (GPE) systems and were characterized using Fourier Transform Infrared (FTIR) analysis, thermogravimetric analysis (TGA), electrical impedance spectroscopy (EIS) and transference number measurement (TNM). FTIR analysis showed slight changes in wavenumber shifting and intensity at the highlighted peaks, indicating molecular interactions have occurred in the present GPE. From the TGA analysis, the sample with 6 wt.% of SiO2 exhibited the least mass loss, confirming that it is the most thermally stable sample in this current study. The increasing ionic conductivity in samples up to 6 wt.% (2.19 × 10− 3 S cm− 1) after SiO2 was added might be due to the properties of SiO2 that act as a bridge to promote more ions complexation towards the polar polymeric chains. Through this study, it can be deduced that the sample with 6 wt.% of SiO2 has the most optimum behavior and it was chosen for TNM testing. Based on the TNM analysis, a high lithium-ion transference number (tLi+=0.79) was observed, indicating that this composition is practical for application in lithium-ion batteries.