bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impulse oscillometry system and pulmonary function test assessment of the impact of tumor location, staging, and pathological type on lung function in primary lung cancer
Authors: Li Jia , Wan Xiaoxu 
Published: November 2024

Abstract
Purpose
To study the effects of tumor site, stage, pathologic type and imaging findings on lung function in primary lung cancer, as well as the correlation between impulse oscillometry system (IOS) and pulmonary function test (PFT) parameters.

Methods
The impact of tumor location, staging, and pathological type on lung function were evaluated in 219 patients with primary lung cancer through IOS and PFT. Spearman correlation coefficient was used to analyze the relationship between IOS parameters and PFT parameters.

Results
The PFT parameters in adenocarcinoma were significantly higher than those in SCLC, while the other parameters in IOS were obviously lower than those in SCLC except X5Hz (P < 0.05). The PFT parameters of FVC%, FEV1% and MVV% in SCC were evidently higher than those in SCLC, while the parameters of IOS were significantly lower than those in SCLC (P < 0.05). The PFT parameters of adenocarcinoma were higher than those of SCC (P < 0.05). In the PFT parameters of stage I patients, FEV1/FVC%, MEF50%, MMEF75/25%, and DLCO% were markedly higher than those of stage II patients, and FVC%, FEV1%, FEV1/FVC%, MEF50%, MEF25%, PEF%, MMEF75/25%, TLC%, and DLCO% were obviously higher than those of stage III and IV patients; and the MVV%, Z5Hz%, R5Hz% in IOS parameters were obviously lower than those in stage III, while Fres (1/s) and X5Hz were significantly lower than those in stage IV (P < 0.05). Compared with Phase IV, the X5Hz of stage II patients was clearly higher (P = 0.023). Besides, PFT parameters of peripheral lung cancer were obviously higher than those of central lung cancer (P < 0.05), while Z5Hz%, Fres (1/s) and R5Hz% of IOS parameters were clearly lower than those of central lung cancer (P < 0.05). Moreover, for patients without and with other pulmonary imaging manifestations, the PFT parameters of the former were significantly higher than those of the latter (P < 0.05), while only Fres (1/s) of IOS parameters was significantly lower than the latter (P < 0.05). Furthermore, there is a low to moderate correlation between IOS parameters and PFT parameters.

Conclusion
Patients with central SCLC and SCC and advanced lung cancer had the worst lung function. The IOS parameters show a good correlation with the traditional PFT parameters, and IOS can be used as an alternative measurement method for PFT when necessary.
Explainable machine learning model for predicting the risk of significant liver fibrosis in patients with diabetic retinopathy
Authors: Zhu Gangfeng , Yang Na , Yi Qiang , Xu Rui , Zheng Liangjian , Zhu Yunlong , Li Junyan , Che Jie , Chen Cixiang , Lu Zenghong , Huang Li , Xiang Yi , Zheng Tianlei 
Published: November 2024

Abstract
Background
Diabetic retinopathy (DR), a prevalent complication in patients with type 2 diabetes, has attracted increasing attention. Recent studies have explored a plausible association between retinopathy and significant liver fibrosis. The aim of this investigation was to develop a sophisticated machine learning (ML) model, leveraging comprehensive clinical datasets, to forecast the likelihood of significant liver fibrosis in patients with retinopathy and to interpret the ML model by applying the SHapley Additive exPlanations (SHAP) method.

Methods
This inquiry was based on data from the National Health and Nutrition Examination Survey 2005–2008 cohort. Utilizing the Fibrosis-4 index (FIB-4), liver fibrosis was stratified across a spectrum of grades (F0-F4). The severity of retinopathy was determined using retinal imaging and segmented into four discrete gradations. A ten-fold cross-validation approach was used to gauge the propensity towards liver fibrosis. Eight ML methodologies were used: Extreme Gradient Boosting, Random Forest, multilayer perceptron, Support Vector Machines, Logistic Regression (LR), Plain Bayes, Decision Tree, and k-nearest neighbors. The efficacy of these models was gauged using metrics, such as the area under the curve (AUC). The SHAP method was deployed to unravel the intricacies of feature importance and explicate the inner workings of the ML model.

Results
The analysis included 5,364 participants, of whom 2,116 (39.45%) exhibited notable liver fibrosis. Following random allocation, 3,754 individuals were assigned to the training set and 1,610 were allocated to the validation cohort. Nine variables were curated for integration into the ML model. Among the eight ML models scrutinized, the LR model attained zenith in both AUC (0.867, 95% CI: 0.855–0.878) and F1 score (0.749, 95% CI: 0.732–0.767). In internal validation, this model sustained its superiority, with an AUC of 0.850 and an F1 score of 0.736, surpassing all other ML models. The SHAP methodology unveils the foremost factors through importance ranking.

Conclusion
Sophisticated ML models were crafted using clinical data to discern the propensity for significant liver fibrosis in patients with retinopathy and to intervene early.

Practice implications
Improved early detection of liver fibrosis risk in retinopathy patients enhances clinical intervention outcomes.
Separation properties and fouling resistance of polyethersulfone membrane modified by fungal chitosan
Authors: Iman Hilya N. , Susilo Henry , Satriyatama Adhi , Budi Ignatius D. M. , Kurnia Kiki A. , Wenten I. G. , Khoiruddin K. 
Published: November 2024

AbstractThis research explores the enhancement of polyethersulfone (PES) membranes through the incorporation of chitosan derived from the lignicolous fungus Ganoderma sp. Utilizing wet phase inversion and solution casting techniques, chitosan was successfully integrated into the PES matrix, as confirmed by Fourier Transform Infrared Spectroscopy (FT-IR), which indicated a high deacetylation degree of 75.7%. The incorporation of chitosan significantly increased the membrane hydrophilicity, as evidenced by a reduction in the water contact angle and a substantial improvement in pure water permeability, from 17.9 L m-2 h-1 bar-1 to 27.3 L m-2 h-1 bar-1. The membrane anti-fouling properties were also notably enhanced, with the Flux Recovery Ratio (FRR) increasing from approximately 60–80%. Moreover, the chitosan-modified PES/CS membrane, particularly at a 5% chitosan concentration, demonstrated exceptional efficacy in pollutant removal, achieving over 90% elimination of total suspended solids, cadmium (Cd), and lead (Pb), alongside a 79% reduction in color during the treatment of textile wastewater.
Senolysis potentiates endothelial progenitor cell adhesion to and integration into the brain vasculature
Authors: Lam Tri Duc , Tóth István , Hermenean Anca , Wilhelm Imola , Kieda Claudine , Krizbai István , Farkas Attila E. 
Published: November 2024

Abstract
Background
One of the most severe consequences of ageing is cognitive decline, which is associated with dysfunction of the brain microvasculature. Thus, repairing the brain vasculature could result in healthier brain function.

Methods
To better understand the potential beneficial effect of endothelial progenitor cells (EPCs) in vascular repair, we studied the adhesion and integration of EPCs using the early embryonic mouse aorta–gonad–mesonephros – MAgEC 10.5 endothelial cell line. The EPC interaction with brain microvasculature was monitored ex vivo and in vivo using epifluorescence, laser confocal and two-photon microscopy in healthy young and old animals. The effects of senolysis, EPC activation and ischaemia (two-vessel occlusion model) were analysed in BALB/c and FVB/Ant: TgCAG-yfp_sb #27 mice.

Results
MAgEC 10.5 cells rapidly adhered to brain microvasculature and some differentiated into mature endothelial cells (ECs). MAgEC 10.5-derived endothelial cells integrated into microvessels, established tight junctions and co-formed vessel lumens with pre-existing ECs within five days. Adhesion and integration were much weaker in aged mice, but were increased by depleting senescent cells using abt-263 or dasatinib plus quercetin. Furthermore, MAgEC 10.5 cell adhesion to and integration into brain vessels were increased by ischaemia and by pre-activating EPCs with TNFα.

Conclusions
Combining progenitor cell therapy with senolytic therapy and the prior activation of EPCs are promising for improving EPC adhesion to and integration into the cerebral vasculature and could help rejuvenate the ageing brain.
Soil biological health assessment based on nematode communities under maize and peanut intercropping
Authors: Liang Siwei , Feng Chen , Li Na , Sun Zhanxiang , Li Yingbin , Zhang Xiaoke , Liang Wenju 
Published: November 2024

Abstract
Background
Cereal/legume intercropping can enhance crop productivity and improve soil health in dryland farming. However, little is known about soil biological health under maize/peanut intercropping. The aim of this study was to assess soil biological health based on nematode communities in a maize/peanut intercropping system.

Methods
We conducted a field experiment with different planting patterns, including monoculture maize (M), monoculture peanut (P), and maize intercropped with peanut (IM, intercropped maize; IP, intercropped peanut) to determine the influence on soil biological health. We measured soil physicochemical properties and nematode communities, and employed exploratory factor analysis combined with cumulative normal distribution curve scoring to identify potential soil biological health traits.

Results
The intercropped maize gave the highest plant parasitic nematode abundance, trophic diversity index, evenness index, and structure index. The monoculture peanut gave the highest enrichment index and least plant parasitic nematode abundance, trophic diversity index, Shannon diversity index, evenness index, structure index, and channel index. We identified four soil biological health traits, including basic nutrients and biodiversity, food web complexity, slow energy channel, and fast energy channel, mainly represented by soil ammonium nitrogen and Shannon diversity index, structural index and omnivore-predator nematode abundance, fungivorous nematode abundance and plant parasitic nematode abundance, microbial biomass carbon and bacterivorous nematode abundance, respectively. The intercropping systems improved the comprehensive score of soil biological health, especially maize intercropping soil. Intercropping maize and intercropping peanut significantly improved soil biological health traits representing the food web complexity compared with the corresponding monoculture soils.

Conclusions
Our results indicate that soil nematode and physicochemical indicators reflect different soil biological health traits. Among those traits, the improvement of basic nutrients and biodiversity and the complexity of the food web were the main reasons for improving soil biological health through the intercropping system.
Age-stratified assessment of orthodontic tooth movement outcomes with clear aligners
Authors: Chaluparambil Mariamma , Abu Arqub Sarah , Kuo Chia-Ling , Godoy Lucas Da Cunha , Upadhyay Madhur , Yadav Sumit 
Published: November 2024

Abstract
Objective
This study compared the achieved tooth movement to that predicted in the preliminary simulated digital treatment plan between adults and teenagers.

Materials and methods
Records of 60 patients (30 adults; mean age: 36.6 ± 11.36 years, and 30 teenagers; mean age: 16.23 ± 2.25 years) were randomly selected. Initial and predicted models were obtained from the initial simulated treatment plan. The first model of the refinement scan was labeled as achieved. SlicerCMF software (version 3.1; https://www.slicer.org) was used to superimpose the achieved and predicted digital models over the initial ones with regional superimposition on relatively stable first molars. 600 teeth were measured in each group for horizontal, vertical, angular movements, and transverse dimensions. Accuracy was defined as the achieved amount of movement minus predicted and was calculated for each individual and compared between teens and adults.

Results
The mandibular inter-canine width accuracy was statistically significant between groups (p = 0.050). Significant under-correction in horizontal movements was noted for mandibular first premolars in teenagers compared to adults (p = 0.037). There was considerable over-correction in horizontal movements for mandibular central and lateral incisors between groups (p < 0.05). No significant difference was observed between groups in the vertical plane. Rotations were underachieved for maxillary first premolars, more in adults than teenagers (p = 0.017).

Conclusion
The accuracy of achieved versus predicted tooth movement between adults and teenagers was significant for the inter-canine width. Mandibular central and lateral incisors showed significantly greater over-correction in adults in the horizontal plane. The accuracy of rotations and vertical movements was comparable.
Re-partnering and fertility
Authors: Luppi Francesca , Migheli Matteo , Pronzato Chiara 
Published: November 2024

AbstractEuropean divorce rates have been rising since the 1970s. Concurrently, as more couples choose cohabitation over marriage, there has also been an increase in separations among cohabiting partners. Nearly 50% of separated individuals form new relationships within five years. These trends may have important implications for fertility research. Are re-partnered women more likely to continue having children than women who have never separated? Do re-partnered women approach fertility decisions differently? Does re-partnering help recover the births 'lost' due to separation? To address these questions, we utilise longitudinal data from 2004 to 2018 across 32 European countries, employing probit models for our analysis. We find that women in higher-order unions are, on average, more likely to have an additional child compared to those who already have children with their current partner. The former group appears less burdened by having more or older children and is less influenced by family income. Predictions from our models indicate that births lost due to union dissolution can only be recovered when re-partnering occurs relatively quickly.
Quantifying the stability of refugee populations: a case study in Austria
Authors: Ali Ola , Dervic Elma , Stütz Rainer , Nedelkoska Ljubica , Prieto-Curiel Rafael 
Published: November 2024

AbstractThe global surge in displacement, with nearly 110 million people uprooted due to violence, underscores the pressing need to comprehend the challenges faced by refugees. Population growth, environmental crises, and political instability contribute to this crisis, projecting an escalating trend in the decades ahead. While hosting countries strive to address concerns related to labour markets, state provisions, and cultural integration, understanding the well-being of refugees upon entry needs to be more adequately explored. This study focuses on refugee stability and integration, employing Austria as a case study. Stability is assessed through residential movement, where more frequent moves indicate instability. Utilising comprehensive administrative data spanning November 2022 to November 2023, we examine residence movements as a proxy for stability. Our findings reveal a stark contrast in the stability of refugees compared to other migrant groups. Analysing movement profiles, we establish that refugees exhibit significantly higher rates of residential mobility than their counterparts, especially among male refugees. This imbalance persists even when comparing refugees to migrants from top refugee-sending countries without official refugee status. This study contributes valuable insights into the intricate dynamics of refugee stability, shedding light on the enduring challenges faced by this population. By examining movement patterns as a key indicator, we provide a nuanced understanding of the residential experiences of refugees, that can inform targeted policies and interventions for enhanced refugee well-being and integration.
El Niño southern oscillation, weather patterns, and bacillary dysentery in the Yangtze River Basin, China
Authors: Li Caiji , Wang Xiaowen , Liu Zehua , Cheng Liangliang , Huang Cunrui , Wang Jing 
Published: November 2024

Abstract
Background
Increasingly intense weather anomalies associated with interannual climate variability patterns, like El Niño-southern oscillation (ENSO), could exacerbate the occurrence and transmission of infectious diseases. However, research in China remains limited in understanding the impacts and intermediate weather changes of ENSO on bacillary dysentery (BD). This study aimed to reveal the relationship between ENSO, weather conditions, and the incidence of BD, and to identify the potential meteorological pathways moderated by ENSO in the ENSO-BD connections.

Methods
BD disease data and meteorological data, as well as ENSO index, from 2005 to 2020 were obtained for 95 cities in the Yangtze River Basin. We first established the associations between ENSO events and BD, ENSO and weather, as well as weather and BDs using two-stage statistical models. Then, we applied a causal mediation analysis to identify the specific meteorological changes in the ENSO-BD relationship.

Results
In the Yangtze River Basin, both El Niño (IRR: 1.06, 95%CI: 1.04 ~ 1.08) and La Niña (IRR: 1.03, 95%CI: 1.02 ~ 1.05) events were found to increase the risk of BD. Variations of ENSO index were associated with changes in local weather conditions. Both the increases in regional temperatures and rainfall were associated with a higher risk of BD. In the casual mediation analyses, we identified that higher temperatures and excessive rainfall associated with La Niña and El Niño events mediated the ENSO’s effect on BD, with mediation proportions of 38.58% and 34.97%, respectively.

Conclusions
Long-term climate variability, like ENSO, can affect regional weather conditions and lead to an increased risk of BD. We identified the mediating weather patterns in the relationship between ENSO and BD, which could improve targeted health interventions and establish an advanced early warning system in response to the BD epidemic.
Treatment decision-making factors among patients with cervical myelopathy: a discrete-choice experiment
Authors: Sarraj Mohamed , Majeed Meerab , Zarrabian Mohammad , Busse Jason , Bhandari Mohit , Guha Daipayan , Pahuta Markian 
Published: November 2024

Abstract
Background
Degenerative Cervical Myelopathy is a debilitating condition and current recommendations encourage shared decision-making between surgeons and patients. However, there is limited data on patients’ values and preferences for surgical decision making. This study aimed to quantify and compare the relative importance of neurologic function, risk of future surgery, and complications to patients with cervical stenosis.

Methods
Patients with cervical stenosis presenting for surgical evaluation, or post-operative cervical decompression patients, were recruited to participate. Demographic information including modified Japanese Orthopedic Association (mJOA) score, type of surgery, and complications were recorded and anonymized to study ID. Patients then completed an online discrete-choice experiment survey. In a series of 10 questions, respondents chose between two hypothetical health states defined in terms of five attributes, or “decision factors”: (i) upper extremity neurologic function, (ii) lower extremity neurologic function, (iii) risk of cervical spine surgery, (iv) dysphagia, and (v) C5 palsy. Participants were asked to choose which ‘life’ they preferred, and a regression model was used to quantify the importance of each decision factor.

Results
We report three key findings that can aid clinicians in shared decision-making conversations: (i) all patients regard lower extremity neurologic function as the most important decision factor, (ii) dysphagia, a complication, and upper extremity neurologic function are equally important, and (iii) patients who have undergone surgery weigh neurologic function as less important, and complications as more important than patients who have not undergone surgery.

Conclusions
Patient preferences for management of degenerative cervical myelopathy are influenced by several considerations including the experience of surgery itself. Communication of benefits and harms associated with surgical and conservative care can optimize shared decision making. Further research should be conducted to evaluate for decisional regret and the impact of complications to inform treatment conversations.
Ethnic fermented foods of the world: an overview
Authors: Lee Cherl-Ho , Ahn Junyoung , Son Hong-Seok 
Published: November 2024

AbstractThe origins of traditional fermented foods and the types and characteristics of fermented foods by region are reviewed. Fermented foods are classified into alcohol fermentation, acid fermentation, carbon dioxide (bread) fermentation, and amino acid/peptide fermentation, and related fermentation technologies for each region are introduced. The raw materials, microorganisms involved, and usage of ethnic fermented foods are reviewed and compared one another. The beginning of food fermentation technology is related to the invention and use of earthenware, and Northeast Asia is presumed to be one of the birth places. During the period of primitive pottery culture (8000–3000 BCE) on the Korean Peninsula and the coastal region of Korea Strait, boiling technology of food materials using pottery and salt manufacturing technology from seawater were developed, and at the same time, alcohol fermentation using grains and salt-fermentation of fish and vegetables emerged. In the West, where people were nomads, a roasting/grilling culture was continued for a long time, and technologies for fermenting fruit wine and milk products such as cheese and yogurt were developed. As a result, fermentation was mainly used for enhancing the taste of plant foods in the East, while for extending the shelf life of animal foods in the West. The production of salty and meaty flavors from soybeans and marine products by fermentation in East Asia is a technology that increases the value of low-quality proteins.
Genomic strategies for drug repurposing
Authors: Dave Kirtan , Patel Dhaval , Dave Nischal , Jain Mukul 
Published: November 2024

AbstractFunctional genomics, a multidisciplinary subject, investigates the functions of genes and their products in biological systems to better understand diseases and find new drugs. Drug repurposing is an economically efficient approach that entails discovering novel therapeutic applications for already-available medications. Genomics enables the identification of illness and therapeutic molecular characteristics and interactions, which in turn facilitates the process of drug repurposing. Techniques like gene expression profiling and Mendelian randomization are helpful in identifying possible medication candidates. Progress in computer science allows for the investigation and modeling of gene expression networks that involve large amounts of data. The amalgamation of data concerning DNA, RNA, and protein functions bears similarity to pharmacogenomics, a crucial aspect in crafting cancer therapeutics. Functional genomics in drug discovery, particularly for cancer, is still not thoroughly investigated, despite the existence of a significant amount of literature on the subject. Next-generation sequencing and proteomics present highly intriguing opportunities. Publicly available databases and mining techniques facilitate the development of cancer treatments based on functional genomics. Broadening the exploration and utilization of functional genomics holds significant potential for advancing drug discovery and repurposing, particularly within the realm of oncology.