bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between Types of Pain Change and Depression among Korean Older Adults: Using Latent Growth Model
Authors: Jeong Kyu-Hyoung , Son Hye-Gyeong , Kim Sunghee , Ryu Ju Hyun , Lee Seoyoon 
Published: March 2023

Abstract
The purpose of this study is to identify the types of pain changes that affect older Koreans, as well as their effects on depression. We analyzed the Korean Longitudinal Study of Aging (KLoSA) data collected from 2010 to 2018. A data of total of 1,359 participants, aged 65 or older were used to estimate the change in pain. A latent growth model and Growth Mixture Modeling (GMM) was performed to estimate the overall change in pain and to categorize the types of pain changes. The pain changes of older adults were classified into two categories: 'low-stable', and 'high increasing'. The depression showed a stronger relationship among the high-increasing type of pain than the low-stable type. The high-increasing type had a higher percentage of women, lower-income, relatively low educational attainment, and a higher percentage of rural residents than the low-stable type. The significance of this study is that it reiterated the importance of early pain diagnosis and intervention by identifying the types of pain changes in older adults and analyzing their effects on depression. Therefore, it is especially important to pay attention to interventions that are designed to help vulnerable groups with a high risk of pain obtain effective pain management.
The mechanisms and spatial-temporal effects of farmland spatial transition on agricultural carbon emission: based on 2018 counties in China
Authors: Ke Shangan , Wu Yueqi , Cui Haiying , Lu Xinhai 
Published: March 2023

Abstract
Agricultural carbon emission reduction is an important issue in environmental protection and development in China and the world. The farmland spatial transition is an important path for agricultural modernization in developing countries such as China. How can farmland spatial transition promote agricultural carbon emission reduction? This paper aims to explore the mechanisms and spatial-temporal effects of farmland spatial transition on agricultural carbon emission density. To study the mechanisms and effects, we establish the random effect model, the threshold model, and the GTWR model with 2018 counties in China from 2000 to 2020. The research shows the farmland spatial transition mainly promotes agricultural carbon emission reduction through the interaction mechanism of large-scale production and specialized management, intermediary and threshold mechanisms of agricultural technology. The result also shows that specialized farmland management is the main driving force of agricultural carbon emission reduction for farmland spatial transition. Moreover, the impact of farmland spatial transition on agricultural carbon emission reduction has significant spatial and temporal differences. The most significant regions are located in the middle and lower reaches of the Yangtze River plain, while the least are the north and southwest. Besides, the impact of the farmland spatial transition on agricultural carbon emissions reduction has a "V" shape over time, indicating China's agricultural carbon emission reduction is facing enormous economic and social development challenges. Our research reveals the various mechanisms and spatial-temporal effects of the transition of farmland spatial morphology on agricultural carbon emission with an evaluation framework, which is crucial to low-carbon agriculture with proper farmland use.
African ancestry meta-analysis of genome-wide association studies identifies a novel locus and validates multiple loci associated with kidney function
Authors: Kintu Christopher , Soremekun Opeyemi , Machipisa Tafadzwa , Mayanja Richard , Kalyesubula Robert , Bagaya Bernard S. , Jjingo Daudi , Chikowore Tinashe , Fatumo Segun 
Published: March 2023

Abstract
Despite recent efforts to increase diversity in genome-wide association studies (GWASs), most loci currently associated with kidney function are still limited to European ancestry due to the underlying sample selection bias in available GWASs. We set out to identify susceptibility loci associated with estimated glomerular filtration rate (eGFRcrea) in 80027 individuals of African-ancestry from the UK Biobank (UKBB), Million Veteran Program (MVP), and Chronic Kidney Disease genetics (CKDGen) consortia. We identified 8 lead loci, 7 of which were previously associated with eGFR in other populations. We identified one novel variant, rs77408001 which is an intronic variant mapped to the ELN gene. We validated seven previously reported loci at GATM-SPATA5L1 and AGPAT3. Fine-mapping analysis identified variants rs77121243 and rs201602445 as having a 99.9% posterior probability of being causal. Our results warrant designing bigger studies within individuals of African ancestry to gain new insights into the pathogenesis of Chronic Kidney Disease (CKD) and identify genomic variants unique to this ancestry that may influence renal function and disease.
Pars Plana Vitrectomy for refractive Diabetic Macular Oedema with or without Internal Limiting Membrane Peeling: A systemic Review and Meta-Analysis
Authors: Miao Jingpeng , Zeng Yiyun , Chen Xiaosi , Gong Zhizhong , Zhang Xinyuan 
Published: March 2023

Abstract
Objective: To determine whether pars plana vitrectomy (PPV) combined with the internal limiting membrane (ILM) peeling technique improves the anatomic and functional outcomes of refractory diabetic macular oedema (DME) in comparison with PPV alone.
Methods: All relevant articles published in English were retrieved from PubMed, google scholar, web of Science, scopes, and Cochrane library databases between January 1st 1990 and September 28 2022. The meta-analysis was conducted using the Statistical software R 4.2.2.
Results: Among 709 articles that were initially identified, 10 studies involving 1126 eyes with DME were found to be eligible for this meta-analysis and systematic review. Our results revealed that postoperative best corrected visual acuity (BCVA) was better in the non-peeling group than in the ILM peeling group (MD=-0.08, 95% CI: -0.12, -0.04, p<0.001), the improvement of BCVA was not significant between the two groups (RD=5.59, 95% CI: -4.81, 15.99, p=0.13). The random effects model showed that changes in central macular thickness were not significantly different between the ILM peeling group and the non-ILM peel group (MD=23.10, 95% CI: -53.82, 100.02, p=0.56).
Conclusion: The functional and morphological clinical outcomes in the non-inferior group are equal to that of the ILM peeling group. Yet, further large-scale prospective, randomized, controlled trials are warranted to further validate the reported results.
Ethics and Biomedical Engineering for Wellbeing: a cocreation study for informing the design of a remote service of monitoring and support
Authors: Maccaro Alessia , Pagliara Silvio Marcello , Zarro Marianna , Piaggio Davide , Abdulsalami Faridat , Su Wanzi , Haleem Muhammad Salman , Pecchia Leandro 
Published: March 2023

Abstract
The wellbeing of students and staff directly affects their output and efficiency. This study presents the results of two focus groups conducted in 2022 within a two-phase project led by the Applied Biomedical and Signal Processing Intelligent e-Health Lab (ABSPIE), School of Engineering of the University of Warwick (UoW) and British Telecom within “The Connected Campus: University of Warwick case study” program. The first phase, by involving staff and students of the University of Warwick, aimed at collecting preliminary information for the subsequent second phase, about the feasibility of the use of Artificial Intelligence and Internet of Things (IoT) for wellbeing support on Campus. The main findings of this first phase are interesting technological suggestions from real users and they helped in the design of the scenarios and in the selection of which key enabling technologies are considered as the most relevant, useful and acceptable to support and improve wellbeing on Campus. These results will inform future services to design and implement technologies for monitoring and supporting wellbeing, such as hybrid, minimal and even intrusive (implantable) solutions. The user-driven co-design of such services, leveraging the use of wearable devices, Artificial Intelligence deployment will increase their acceptability by the users.
Circ-0081343 binds and activates RBM8A nuclear translocation to promote autophagy in Fetal growth restriction
Authors: Zheng Linmei , Tang Rong , Fang Junbo , Hu Haoyue , Tang Qiong , Liu Jinfu , Zhong Mei , Li Jing 
Published: March 2023

Abstract
Fetal growth restriction (FGR) is a common disease that occurred during pregnancy and is the second leading cause of perinatal death, affecting neonates' short- and long-term prognosis. However, the etiology and pathogenesis of FGR are poorly understood. Recent study found that circ-0081343 is significantly reduced in human FGR placenta and is involved in cell migration, invasion, and apoptosis of trophoblast in vitro. However, the mechanism of how circ-0081343 regulates placental development have not been fully understood. In this study, we aimed to explore the function of circ-0081343 in pathogenesis of FGR placenta using in vitro experiment and FGR mouse model. Overexpression of circ-0081343 in HTR-8/SVneo increased the binding of circ-0081343 to RNA binding motif protein 8A (RMB8A). Furthermore, it also inhibited the nuclear translocation of RMB8A via downregulating the importin 13 (IPO13), which transported RMB8A across the nuclear membrane into the nucleus. Based on the integration of RNA-seq and Chip-seq, we found that phosphatidylinositol 3‑kinase (PI3K)/protein kinase B (AKT) pathway was the target of circ-0081343. circ-0081343 bound to RMB8A and inhibited its nuclear translocation, resulting in inactivation of PI3K/AKT pathway via interaction with PI3K3C3, thereby regulating autophagy in HTR-8/SVneo cells. In FGR mouse model, overexpression of circ-0081343 was able to restore the impaired autophagy through inhibition of PI3K/AKT pathway, improving pathological placenta and bodyweight of pups. These results provided new molecular targets and ideas for the diagnosis and treatment of clinical FGR from the perspective of circRNA affecting the nuclear translocation of binding proteins and leading to abnormal transcriptional control.
Effects of exclusive breastfeeding duration on the occurrence and course of pneumonia in infants up to six months
Authors: Kang Yu-Lan , Zheng Qing-Xiang , Chen Xiao-Qian , Huang You-Cheng , Zheng Fan 
Published: March 2023

Abstract
Background
The pneumonia is the second most common cause of infant and child mortality in developing countries, while exclusive breastfeeding and basic immunizations protect infants and children from pneumonia infection. We aimed to analyze the effects of exclusive breastfeeding duration on the occurrence and course of pneumonia in infants up to 6 months of age.
Methods
This study was a prospective cross-sectional study and conducted in a Grade A tertiary hospital from August 2020 to August 2022. A total 255 hospitalized infants aged up to 6 months were included, who was diagnosed with bronchopneumonia. The univariate and multivariate logistic regression analyses were applied to analyze data in this study by SPSS 25.0.
Results
The number of pneumonia incidences, hospitalization duration and costs in infants up to 6 months of age were significantly affected by exclusive breastfeeding duration (P < 0.001). The number of pneumonia incidences in infants aged up to 6 months in different places of residence and exclusive breastfeeding duration was also statistically significantly different (P < 0.001). Moreover, the shorter the exclusive breastfeeding duration, the higher the pneumonia incidence in infants.
Conclusion
Overall, the longer the exclusive breastfeeding duration in infants up to 6 months of age, the lower the recurrence of pneumonia, the shorter the hospital stay, the lower the hospital cost, and the faster the recovery of the infant.
Reference population database for 24 STR loci of selected provinces of Argentina.
Authors: Caputo Mariela , Sala Andrea , Corach Daniel 
Published: March 2023

Abstract
Argentinean population is the result of admixture between South Amerindians, Europeans and to a lesser degree, Africans. Since the advent of forensic molecular genetics, the construction of local reference databases became mandatory.
Aiming to further extend the technical quality reference database of Argentina, we present herein the allele frequencies for 24 autosomal STRs, including D22S1045, and SE33 (not previously reported for Argentina in STRidER).
Genotypes of 6454 unrelated individuals (3761 males and 2694 females) from 13 out of 23 provinces were analysed. Forensic parameters were calculated for each marker. The observed heterozygosity ranged from 0.661 (TPOX) to 0.941 (SE33). The locus SE33 was revealed to be the most informative marker showing the highest values for PIC (0.955), GD (0.952), TPI (8.455) and PE (0.879). On the other hand, TPOX turned out to be the least informative marker: PIC (0.618), GD (0.669), and PE (0.371).
The high number of analyzed individuals allowed detecting low frequency alleles and microvariants in CSF1PO; D16S539 and D21S11 D18S51; PENTA D; PENTA E and at locus D6S1043.
This study is the most extensive for Argentina and complements the already reported information concerning the autosomal STRs commonly used in forensic identification. The results were submitted passing STRidER quality control standards (QC), receiving the reference number STR000327 v.2.
Neutrophil-to-lymphocyte ratio is a prognostic factor reflecting immune condition of tumor microenvironment in squamous cell lung cancer
Authors: Ohashi Kana , Nishito Yukari , Fukuda Hironori , Sadahiro Ryoichi , Yoshida Yukihiro , Watanabe Shun-ichi , Motoi Noriko , Sonobe Yukiko , Mizuno Hideaki , Tsunoda Hiroyuki , Tatsumi Koichiro , Suzuki Takuji , Ochiai Atsushi , Aoki Kazunori 
Published: March 2023

Abstract
Inflammatory factors in the peripheral blood, such as the C-reactive protein level and neutrophil-to-lymphocyte ratio (NLR), are prognostic markers in multiple types of cancer, including non-small cell lung cancer (NSCLC). However, the association between inflammatory factors and prognosis based on histological types has not been adequately reported. In addition, the relationship between these factorsand the immune condition of the tumor microenvironment (TME) is unclear. In this study, we first investigated the relationship between preoperative inflammatory markers and clinical outcomes in 176 patients with NSCLC who underwent surgery. Lung adenocarcinoma (LUAD) showed no significant prognostic marker, whereas for lung squamous cell carcinoma (LUSC), a multivariate analysis showed that a high NLR was significantly associated with postoperative recurrence. In LUSC patients, the median time of postoperative recurrence-free survival in patients with a low NLR was longer than that in patients with a high NLR. We then compared the tumor-infiltrating lymphocyte (TIL) profile with inflammatory markers in peripheral blood and found that the NLR was negatively correlated with the frequencies of T cells and B cells in LUSC tissues. Thus, the NLR is a useful predictive biomarker for postoperative recurrence and may reflect the immune condition of the TME in LUSC.
The prognostic significance of serum lactate dehydrogenase for patients with small cell lung cancer treated first-line therapy: a retrospective analysis of 163 consecutive cases
Authors: Zhang Lu , Pan Zhangchi , Wang Han , Shi Chunmei , Lin Xiaoyan , Cao Yingping 
Published: March 2023

Abstract
Purpose: To investigate the association between lactate dehydrogenase (LDH) and the prognosis of first-line therapy in patients with small cell lung cancer (SCLC).
Methods: 163 small cell lung cancer patients were consecutively included from January 2011 to June 2020 as initial therapy in Fujian Medical University Union Hospital. A retrospective analysis of the clinical data were conducted to explore the association between LDH, the progression free survival (PFS) and overall survival (OS). PFS and OS were calculated using the Kaplan-Meier method and compared with the log-rank test.
Results: 163 patients were divided into 90 patients in the high LDH group (pre-treatment LDH≥202 IU/L) and 73 patients in the low LDH group (pre-treatment LDH <202 IU/L). The low LDH group has a longer PFS than the high LDH group (6.23±0.28 months vs. 5.24±0.21 months; P=0.002). In the subgroup analysis of extensive stage (ES), the low LDH group has a longer PFS than the high LDH group (6.67±0.35 months vs. 5.02±0.23months; P=0.000). In the high LDH group, patients have a significantly longer PFS when treated with the cisplatin-etoposide (EP) regimen compared to those treated with the carboplatin-etoposide (EC) regimen(5.72±0.29 months vs. 4.72±0.28 months; P=0.029). Among the high-LDH group, the PFS of EP regimen in the LS subgroup was longer than that of EC regimen, with a statistical difference (6.39±0.58 months vs. 4.71±0.45 months; P=0.018). After 2 cycles of first-line treatment, the OS in the group with LDH-significant-decrease group was longer (10.44±0.77 months vs. 14.79±1.67 months; P=0.009), compared with LDH-non-significant-decrease group. In the subgroup analysis of ES patients, OS in the LDH-significant-decrease group was longer than that in the LDH-no-significant-decrease group(13.96±2.25 months vs. 9.49±0.81 months; P=0.027). In the subgroups using EP regimen, OS in the LDH-significant-decrease group was longer than that in the LDH-no-significant-decrease group (16.67±2.33 months vs. 10.20±1.03 months; P=0.004).
Conclusion: LDH is of certain significance to the efficacy of first-line chemotherapy of small cell lung cancer. Higher LDH is a biomarker of poor clinical prognosis. The decrease of LDH after 2 cycles of first-line treatment may suggest longer PFS and OS for patients with SCLC. Patients with high pretreatment-LDH choosing EP treatment may have a longer PFS.
A two-pronged approach against glioblastoma: Drug repurposing and nanoformulation design for in situ‑controlled release
Authors: Mendes Maria , Branco Francisco , Vitorino Rui , Sousa João , Pais Alberto , Vitorino Carla 
Published: March 2023

Abstract
Glioblastoma (GB) is one of the most lethal types of neoplasms. Its biologically aggressive nature and the presence of the blood-brain barrier (BBB) limit the efficacy of standard therapies. Several strategies are currently being developed to both overcome the BBB and deliver drugs site-specifically to tumor cells. This work hypothesizes a two‑pronged approach to tackle glioblastoma: drug repurposing with celecoxib and a nanoformulation using ultra-small nanostructured lipid carriers (usNLCs).
Celecoxib antitumor druggable activity was inspected bioinformatically and screened in four glioma cell lines aiming at the comparison with temozolomide, as standard of care. Delving into formulation design, it was tailored aiming at (i) improving the drug solubility/loading properties, (ii) assigning a thermal-triggerable drug release based on a lipid matrix with a low melting point, and (iii) enhancing the cytotoxic effect by selecting a template targetable to tumor cells. For this purpose, an integrated analysis of the critical material attributes (CMAs), critical process parameters (CPPs) and critical quality attributes (CQAs) was conducted under the umbrella of a Quality by Design approach.
CMAs that demonstrate a high-risk level for the final quality and performance of the usNLCs include the drug solubility in lipids (solid and liquid), the lipid composition (envisioning a thermoresponsive approach), the ratio between lipids (solid vs. liquid), and the surfactant type and concentration. Particle size was shown to be governed by the interaction lipid-surfactant followed by surfactant type. The drug encapsulation did not influence colloidal characteristics, making it a promising carrier for lipophilic drugs. In general,usNLCs exhibited a controlled drug release during the 72 hours at 37 ºC with a final release of ca. 25 %, while at 45 ºC this was doubled. The in vitro cellular performance depended on the surfactant type and lipid composition, with the formulations containing a sole solid lipid (Suppocire® NB) and Kolliphor® RH40 as surfactant being the most cytotoxic. usNLCs with an average diameter of ca. 70 nm and a narrow size distribution (PdI lower than 0.2) were yielded, exhibiting, high stability, drug protection, sustained and thermo‑sensitive release properties, and high cytotoxicity to glioma cells, meeting the suitable CQAs for parenteral administration. This formulation may pave the way to a multi-addressable purpose to improve address GB treatment.
Optimal Floor Plan for Residential Houses leveraging Vaastu Shastra: A neural approach
Authors: Chaturvedi D.K. , Bandopadhyay Boudhan 
Published: March 2023

Abstract
Net Zero Sustainable Buildings are needed to protect the environment as .Architects and building owners are trying to focus on utilizing sustainable and energy efficient methods to design the spaces of the future which in turn would contribute to the global net zero effort. To achieve the above objective, the western thinking can be facilitated with the ancient eastern architectural perspectives such as Vaastu-Sastra to build sustainable and eco-friendly habitat is the prime focus of this paper. The deals with neural approach to predict the optimal layout for a particular design of a residential house based upon a compatibility score for the same leveraging Fuzzy Inference System to decide on the compliance of the new design.
Development of a neural architecture to predict the thermal conductivity of nanofluids
Authors: Shahrivar Iraj , Ghafouri Ashkan , Niazi Zahra 
Published: March 2023

Abstract
The present study proposes an artificial neural network (ANN) model for correctly estimating the thermal conductivity property of nanofluids. The ANN model was designed based on using 800 existing experimental data containing spherical nanoparticles of TiO2, ZnO, CuO, Al2O3, ZrO2, Fe2O3, Fe3O4, SiO2, CeO2, MgO, Fe, Al, Cu, Ag, Sic and diamond in various fluids of oil, ethylene glycol, water, and radiator cooling. Here, effective parameters of thermal conductivity of the base fluid and dispersed nanoparticle, nanoparticles volume fraction (0.4 − 0.4%), temperature (10 − 80 ℃), and particle diameter (4 − 150 nm) were considered as input variables, while the thermal conductivity of nanofluid was defined as the target variable. The Levenberg-Marquardt (L-M) back-propagation algorithm was used to design this model. According to the results, the best R and lowest MSE using 5-13-1 topology were founded to be about 0.9975 and 0.000238, respectively, indicating good fitting between predicted results and target points. Also, the results of the comparison between the ANN model and experimental points indicated successful validation of the presented model for estimating the thermal conductivity of nanofluids.