bluuebunny/crossref_metadata_2025_split huggingface dataset:
NUMERICAL ANALYSIS OF RICE GROWTH PHASES IN KARAWANG USING THE GAUSS-JORDAN ELIMINATION METHOD
Authors: Siregar Ruth Ririn Vania , Purba Santri Chintia , Natalia Bela Desy , Zebua Kornelius Anugrah 
Published: February 2024

Indonesia's growth cannot be separated from Indonesia's economic growth. The agricultural sector has a massive and significant impact on Indonesia's economic growth. One of the agricultural products that’s important is rice. Rice is a seasonal crop that is very necessary for human survival. Karawang, one of the districts in West Java Province, which is known as Lumbung Padi City, is the location of the main topic in making this journal. In fact, based on BPS data, the area harvested for paddy fields in Karawang from 2010-2015 was found not to have increased regularly from year to year. This is interesting to discuss because the rice harvest area is expected to increase regularly to support Indonesia's economic growth. Of course, this is because the rice harvest area will affect the amount of rice produced in the rice fields. By ignoring other internal and external factors of rice growth, this journal will only focus on rice harvest area based on rice growth phases (vegetative 1, vegetative 2, and generative) and accumulated harvest area using the Gauss Jordan elimination method. Calculations are carried out to determine the possibility of farmers to predict the maximum amount of rice production and avoid losses in purchasing materials to support rice growth
Pengaruh model pembelajaran problem-solving terhadap kemampuan pemahaman konsep siswa dalam menyelesaikan soal cerita matematika materi sistem persamaan linier dua variabel
Authors: Listiana Windi , Pasaribu Laili Habibah , Julyanti Eva 
Published: February 2024

Pemahaman konsep adalah hal yang fundamental dalam pembelajaran matematika. Data yang dikumpulkan di SMP N 1 Bilah Hilir memperlihatkan bahwa kebanyakan. siswa tidak memahami konsep pada soal cerita matematika. Diperlukan pembelajaran yang berpengaruh untuk mendukung pemahaman konsep siswa, yaitu melalui model pembelajaran problem-solving. Tujuan penelitian ini yaitu untuk mengetahui pengaruh model pembelajaran problem-solving terhadap kemampuan pemahaman konsep siswa dalam menyelesaikan soal cerita matematika materi sistem persamaan linier dua variabelPenelitian ini berjenis kuasi eksperimen dengan desain The One Group Pretest-Posttest Design. Subjek penelitian ini yaitu siswa kelas VIII-4 di SMP N 1 Bilah Hilir yang berjumlah 29 siswa. Bentuk tes uraian diterapkan pada penelitian ini sebagai instrumen penelitian untuk menguji kemampuan siswa mengenai pemahaman konsep . Teknik analisis data dibantu menggunakan SPSS versi 29 dengan teknik Uji-T yaitu Paired Sample T-Test. Hasil dari proses analisis data membuktikan bahwa terdapat pengaruh yang signifikan dengan penerapan model pembelajaran problem-solving terhadap pemahaman konsep siswa dalam menyelesaikan soal cerita matematika materi sistem persamaan linier dua variabel.
Entre o povo e o Estado:
Authors: Oliveira Lins da Silva Izabelly , Pereira de Araujo Cristina 
Published: February 2024

Recebido: 24/08/2021
Aprovado: 15/02/2022
Este artigo tem como objetivo analisar a influência do Partido Comunista Brasileiro (PCB) na criação e organização de Associações de Moradores de Comunidades do Recife, auxiliando na reafirmação da importância do Movimento de Bairro e sendo capaz de aproximá-los dos governos municipais e estaduais com sua ativa participação e liderança na articulação política e popular chamada Frente do Recife (1955-1964). Entre os anos de 1930 a 1964, a capital pernambucana protagoniza uma série de obras de cunho higienista na cidade, como a expulsão dos mocambos e a reconfiguração das moradias populares consolidadas nas áreas centrais da capital. Diante da metodologia qualitativa aplicada, podemos constatar a influência do PCB, na criação e organização das associações de moradores e como sua liderança na Frente do Recife resultou em um equilíbrio entre as pautas reivindicadas pelos moradores e a assistência da Prefeitura.
Palavras-Chave: Partido Comunista Brasileiro. Associações de Moradores. Movimento de Bairro. Frente do Recife.
Palavra de ordem:
Authors: A Silva Fontineles Cláudia Cristina d , De Melo Silva Mota Carlos Alberto 
Published: February 2024

Recebido: 10/09/2021
Aprovado: 06/03/2022
Ao percorrer as sendas históricas do Brasil, na década de 1970, podemos observar rastros espessos do projeto político dos militares. Visualizamos que os generais buscavam manter sua posição no comando federal. Para isso, utilizaram recursos como atos institucionais, limitações aos outros Poderes e projetos políticos. Dentre esses projetos, observamos um alinhamento em torno do discurso de integração nacional, onde estados outrora vistos como marginalizados — como o Piauí — foram impulsionados ao crescimento, por meio de governos que valorizavam a construção civil como ferramenta para inserção no “milagre brasileiro” econômico. Constata-se então um discurso híbrido, cuja imprensa figura como a principal porta voz dos feitos da ditadura. Este artigo é fruto de uma pesquisa empírica a partir de documentos oficiais e de matérias publicadas nos jornais O Dia, O Estado e Estado do Piauí, que são analisados a partir da interlocução com os estudos de Robert Darnton, Anne-Marie Smith, Beatriz Kushnir, Carlos Fico e Cláudia Fontineles.
Palavras Chave: História. Política. Imprensa.
Detection of kinematic abnormalities in persons with knee osteoarthritis using markerless motion capture during functional movement screen and daily activities
Authors: Wang Fei , Jia Rui , He Xiuming , Wang Jing , Zeng Peng , Hong Hong , Jiang Jiang , Zhang Hongtao , Li Jianyi 
Published: February 2024

Background: The functional movement screen (FMS) has been used to identify deficiencies in neuromuscular capabilities and balance among athletes. However, its effectiveness in detecting movement anomalies within the population afflicted by knee osteoarthritis (KOA), particularly through the application of a family-oriented objective assessment technique, remains unexplored. The objective of this study is to investigate the sensitivity of the FMS and daily activities in identifying kinematic abnormalities in KOA people employing a markerless motion capture system.Methods: A total of 45 persons, presenting various Kellgren–Lawrence grades of KOA, along with 15 healthy controls, completed five tasks of the FMS (deep squat, hurdle step, and in-line lunge) and daily activities (walking and sit-to-stand), which were recorded using the markerless motion capture system. The kinematic waveforms and discrete parameters were subjected to comparative analysis.Results: Notably, the FMS exhibited greater sensitivity compared to daily activities, with knee flexion, trunk sagittal, and trunk frontal angles during in-line lunge emerging as the most responsive indicators.Conclusion: The knee flexion, trunk sagittal, and trunk frontal angles during in-line lunge assessed via the markerless motion capture technique hold promise as potential indicators for the objective assessment of KOA.
Unraveling the mystery: a Mendelian randomized exploration of gut microbiota and different types of obesity
Authors: Liu Siyuan , Li Fan , Cai Yunjia , Ren Linan , Sun Lin , Gang Xiaokun , Wang Guixia 
Published: February 2024

BackgroundNumerous studies have demonstrated the influence of gut microbiota on the development of obesity. In this study, we utilized Mendelian randomization (MR) analysis to investigate the gut microbiota characteristics among different types of obese patients, aiming to elucidate the underlying mechanisms and provide novel insights for obesity treatment.MethodsTwo-sample multivariable Mendelian randomization (MR) analysis was employed to assess causal relationships between gut microbiota and various obesity subtypes. Gut microbiota data were obtained from the international consortium MiBioGen, and data on obese individuals were sourced from the Finnish National Biobank FinnGen. Eligible single-nucleotide polymorphisms (SNPs) were selected as instrumental variables. Various analytical methods, including inverse variance weighted (IVW), MR-Egger regression, weighted median, MR-RAPS, and Lasso regression, were applied. Sensitivity analyses for quality control included MR-Egger intercept tests, Cochran’s Q tests, and leave-one-out analyses and others.ResultsMendelian randomization studies revealed distinct gut microbiota profiles among European populations with different obesity subtypes. Following multivariable MR analysis, we found that Ruminococcaceae UCG010 [Odds Ratio (OR): 0.842, 95% confidence interval (CI): 0.766-0.926, Adjusted P value: 0.028] independently reduced the risk of obesity induced by excessive calorie intake, while Butyricimonas [OR: 4.252, 95% CI: 2.177-8.307, Adjusted P value: 0.002] independently increased the risk of medication-induced obesity. For localized adiposity, Pasteurellaceae [OR: 0.213, 95% CI: 0.115-0.395, Adjusted P value: &lt;0.001] acted as a protective factor. In the case of extreme obesity with alveolar hypoventilation, lactobacillus [OR: 0.724, 95% CI: 0.609-0.860, Adjusted P value: 0.035] reduced the risk of its occurrence. Additionally, six gut microbiota may have potential roles in the onset of different types of obesity. Specifically, the Ruminococcus torques group may increase the risk of its occurrence. Desulfovibrio and Catenabacterium may serve as protective factors in the onset of Drug-induced obesity. Oxalobacteraceae, Actinomycetaceae, and Ruminiclostridium 9, on the other hand, could potentially increase the risk of Drug-induced obesity. No evidence of heterogeneity or horizontal pleiotropy among SNPs was found in the above studies (all P values for Q test and MR-Egger intercept &gt; 0.05).ConclusionGut microbiota abundance is causally related to obesity, with distinct gut microbiota profiles observed among different obesity subtypes. Four bacterial species, including Ruminococcaceae UCG010, Butyricimonas, Pasteurellaceae and lactobacillus independently influence the development of various types of obesity. Probiotic and prebiotic supplementation may represent a novel approach in future obesity management.
Inflammation mediates the relationship between diet quality assessed by healthy eating index-2015 and metabolic syndrome
Authors: Yuguang Li , Chang Yu , Li Hongwei , Li Fangqi , Zou Qing , Liu Xiangliang , Chen Xiao , Cui Jiuwei 
Published: February 2024

BackgroundMetabolic syndrome is a cluster of metabolic disorders, including obesity, hypertension, hyperglycemia, and abnormal lipid levels. However, researches on the association between overall dietary quality measured by the Healthy Eating Index-2015 (HEI-2015) and the risk of metabolic syndrome is still lacking.MethodsThis study utilized data from four cycles (2011-2018) of the National Health and Nutrition Examination Survey (NHANES) database, including 17,582 participants. Logistic regression analysis was employed to explore the correlation between HEI and the risk of metabolic syndrome. Additionally, mediation analysis was conducted to examine the effects of Systemic Immune-Inflammation Index (SII) and serum uric acid as potential mediators between HEI and metabolic syndrome risk. Weighted quantile sum (WQS) regression evaluated the composite exposure impact of the 13 components of the HEI on metabolic syndrome, as well as the proportion of their weights.ResultsHigher dietary quality measured by HEI-2015 (at the 75th percentile) was negatively correlated with the risk of metabolic syndrome (OR=0.80, 95%CI=0.72-0.89, P=0.003). Higher SII and serum uric acid levels were identified as risk factors for metabolic syndrome (P for trend&lt;0.001). Approximately 37.5% of the effect of HEI on metabolic syndrome occurrence was mediated by SII (Indirect effect=-0.002, 95%CI (-0.003,-0.001), Direct effect=-0.022, 95%CI (-0.0273,-0.015)). Additionally, 25% of the effect of HEI on metabolic syndrome occurrence was mediated by serum uric acid levels (Indirect effect=-0.006, 95%CI (-0.010,-0.012), Direct effect=-0.024, 95%CI (-0.041,-0.009)). WQS regression analysis revealed the highest weighted proportions for seafood and plant proteins (25.20%) and sodium (17.79%), while the weight for whole fruit was the lowest (0.25%).ConclusionBetter dietary quality measured by HEI-2015 was associated with a lower likelihood of metabolic syndrome. Higher SII and serum uric acid levels were identified as risk factors for metabolic syndrome and potential mediators.
Effects of menstrual disorders and dysmenorrhea on cardiovascular disease: a Mendelian randomization study
Authors: Lai Sijia , Jin Qiubai , Wang Dayang , Li Tianli , Wang Xian 
Published: February 2024

BackgroundObservational studies have demonstrated associations between menstrual disorders, dysmenorrhea, and cardiovascular disease (CVD). However, it remains unclear whether these associations are causal. This study is to investigate whether menstrual disorders and dysmenorrhea causally affect the risk of CVD.MethodsThe summary data for menstrual disorders (excessive menstruation and irregular menses) and dysmenorrhea were obtained from FinnGen study, summary data for CVD were obtained from UK Biobank and meta-analysis. The inverse-variance-weighted method was mainly used in the Mendelian randomization for causality analysis. Sensitivity analyses were performed by several methods under different model assumptions.ResultsGenetic liability to excessive menstruation was associated with higher risk of atrial fibrillation (odds ratio (OR), 1.078 [95% confidence interval (CI), 1.015-1.145]; P=0.014), but a lower risk of hypertension (OR, 0.994 [95% CI: 0.989-0.999]; P=0.016). Irregular menses was associated with higher risk of atrial fibrillation (OR, 1.095 [95% CI: 1.015-1.182]; P=0.02), hypertension (OR, 1.007 [95% CI: 1.000-1.013]; P=0.047), myocardial infarction (OR, 1.172 [95% CI: 1.060-1.295]; P=0.02), ischemic heart disease, (OR, 1.005 [95% CI: 1.000-1.010]; P=0.037) and coronary heart disease (OR, 1.004 [95% CI: 1.001-1.008]; P=0.026). Dysmenorrhea was associated with higher risk of atrial fibrillation (OR, 1.052 [95% CI: 1.014-1.092]; P=0.008) and Ischemic stroke (cardioembolic) (OR, 1.122 [95% CI: 1.002-1.257]; P=0.046). After Benjamini-Hochberg correction, irregular menses was associated with higher risk of myocardial infarction.ConclusionWe confirmed a causal relationship of excessive menstruation, irregular menses and dysmenorrhea on cardiovascular outcomes independent of sex hormone levels, with an emphasis on the link between irregular menses and myocardial infarction. These clinical features can be utilized as markers to identify women at higher risk of developing CVD in the future, recommending early clinical intervention of menstrual diseases.
The metabolic profiles and body composition of non-obese metabolic associated fatty liver disease
Authors: Zhang Yujuan , Xiang Liulan , Qi Fang , Cao Yutian , Zhang Wenhui , Lv Tiansu , Zhou Xiqiao 
Published: February 2024

Background/purposeMetabolic-associated fatty liver disease (MAFLD) is a major cause of chronic liver disease worldwide and is generally thought to be closely related to obesity and diabetes. However, it also affects non-obese individuals, particularly in Asian cultures.MethodsHealthy physical examination subjects and MAFLD patients were included in the endocrinology department of Jiangsu Provincial Hospital of Traditional Chinese Medicine. MAFLD was defined as fatty liver in imaging without virus infection, drug, alcohol, or other known causes of chronic liver disease. Non-obese MAFLD was defined as MAFLD in non-obese subjects (BMI&lt;25 kg/m2).ResultsThe final analysis comprised 1047 participants in total. Of 946 MAFLD patients, 162 (17.12%) were diagnosed with non-obese MAFLD. Non-obese MAFLD patients were older, had lower alanine aminotransferase (ALT), triglyceride, and waist circumference, but had higher high density lipoprotein cholesterol (HDL-c) than obese MAFLD patients. Compared with non-obese healthy controls, non-obese MAFLD patients had higher BMI, ALT, gamma-glutamyl transferase (GGT), uric acid (UA), triglycerides (TG), and low density lipoprotein cholesterol (LDL-c). In terms of body composition, body fat mass (BFM), waist-hip ratio (WHR), percent body fat (PBF), visceral fat area (VFA), and fat mass index (FMI) were lower in non-obese healthy controls than non-obese MAFLD patients. A binary logistic regression analysis revealed that non-obese MAFLD was linked with lower GGT and higher HDL-c.ConclusionIn this study cohort, non-obese MAFLD was present at a prevalence of 13.90%. In contrast to non-obese healthy controls, non-obese MAFLD patients exhibited different metabolic profiles, but they also had different body compositions.
Who can benefit from postmastectomy radiotherapy among HR+/HER2- T1-2 N1M0 breast cancer patients? An explainable machine learning mortality prediction based approach
Authors: Jin Long , Zhao Qifan , Fu Shenbo , Zhang Yuan , Wu Shuhan , Li Xiao , Cao Fei 
Published: February 2024

ObjectiveThe necessity of postmastectomy radiotherapy(PMRT) for patients with HR+/HER2 T1-2 N1M0 breast cancer remains controversial. We want to use explainable machine learning to learn the feature importance of the patients and identify the subgroup of the patients who may benefit from the PMRT. Additionally, develop tools to provide guidance to the doctors.MethodsIn this study, we trained and validated 2 machine learning survival models: deep learning neural network and Cox proportional hazard model. The training dataset consisted of 35,347 patients with HR+/HER2- T1-2 N1M0 breast cancer who received mastectomies from the SEER database from 2013 to 2018. The performance of survival models were assessed using a concordance index (c-index).Then we did subgroup analysis to identify the subgroup who could benefit from PMRT. We also analyzed the global feature importance for the model and individual feature importance for individual survival prediction. Finally, we developed a Cloud-based recommendation system for PMRT to visualize the survival curve of each treatment plan and deployed it on the Internet.ResultsA total of 35,347 patients were included in this study. We identified that radiotherapy improved the OS in patients with tumor size &gt;14mm and age older than 54: 5-year OS rates of 91.9 versus 87.2% (radio vs. nonradio, P &lt;0.001) and cohort with tumor size &gt;14mm and grade worse than well-differentiated, 5-year OS rates of 90.8 versus 82.3% (radio vs. nonradio, P &lt;0.001).The deep learning network performed more stably and accurately in predicting patients survival than the random survival forest and Cox proportional hazard model on the internal test dataset (C-index=0.776 vs 0.641) and in the external validation(C-index=0.769 vs 0.650).Besides, the deep learning model identified several key factors that significantly influence patient survival, including tumor size, examined regional nodes, age at 45-49 years old and positive regional nodes (PRN).ConclusionPatients with tumor size &gt;14mm and age older than 54 and cohort with tumor size &gt;14mm and grade worse than well-differentiated could benefit from the PMRT. The deep learning network performed more stably and accurately in predicting patients survival than Cox proportional hazard model on the internal test. Besides, tumor size, examined regional nodes, age at 45-49 years old and PRN are the most significant factors to the overall survival (OS).
New mechanistic insights of anti-obesity by sleeve gastrectomy-altered gut microbiota and lipid metabolism
Authors: Liu Chuxuan , Xu Qian , Dong Shuohui , Ding Huanxin , Li Bingjun , Zhang Dexu , Liang Yongjuan , Li Linchuan , Liu Qiaoran , Cheng Yugang , Wu Jing , Zhu Jiankang , Zhong Mingwei , Cao Yihai , Zhang Guangyong 
Published: February 2024

BackgroundThe obesity epidemic has been on the rise due to changes in living standards and lifestyles. To combat this issue, sleeve gastrectomy (SG) has emerged as a prominent bariatric surgery technique, offering substantial weight reduction. Nevertheless, the mechanisms that underlie SG-related bodyweight loss are not fully understood.MethodsIn this study, we conducted a collection of preoperative and 3-month postoperative serum and fecal samples from patients who underwent laparoscopic SG at the First Affiliated Hospital of Shandong First Medical University (Jinan, China). Here, we took an unbiased approach of multi-omics to investigate the role of SG-altered gut microbiota in anti-obesity of these patients. Non-target metabolome sequencing was performed using the fecal and serum samples.ResultsOur data show that SG markedly increased microbiota diversity and Rikenellaceae, Alistipes, Parabacteroides, Bactreoidales, and Enterobacteraies robustly increased. These compositional changes were positively correlated with lipid metabolites, including sphingolipids, glycerophospholipids, and unsaturated fatty acids. Increases of Rikenellaceae, Alistipes, and Parabacteroide were reversely correlated with body mass index (BMI).ConclusionIn conclusion, our findings provide evidence that SG induces significant alterations in the abundances of Rikenellaceae, Alistipes, Parabacteroides, and Bacteroidales, as well as changes in lipid metabolism-related metabolites. Importantly, these changes were found to be closely linked to the alleviation of obesity. On the basis of these findings, we have identified a number of microbiotas that could be potential targets for treatment of obesity.
Women's preconception psychological stress and birth outcomes in a fertility clinic: the EARTH study
Authors: Mínguez-Alarcón Lidia , Williams Paige L. , Souter Irene , Ford Jennifer B. , Hauser Russ , Chavarro Jorge E. 
Published: February 2024

BackgroundThe epidemiologic literature on women's perceived stress in relation to perinatal outcomes has been inconclusive and does not consider the preconception window of exposure.ObjectiveTo evaluate whether women's preconception perceived stress is related to live birth, gestational age, and birthweight in a cohort receiving fertility treatment.MethodsThis observational study included women seeking fertility care at the Massachusetts General Hospital (2004–2019). During preconception, women provided information on their psychological stress using the short version of the validated Perceived Stress Scale 4 (PSS-4). We used regression models to evaluate the associations of stress with live birth (N = 768 attempting to conceive) and perinatal outcomes (N = 413 live births) while adjusting for confounders. Stratified analyses by mode of conception [natural, intrauterine insemination (IUI), and IVF (in vitrofertilization)] and selected socioeconomic factors (race, education, and income) were also conducted.ResultsHigher psychological stress was negatively associated with the overall probability of live birth (adjusted RR = 0.95, 95% CI: 0.92, 0.98), particularly among women conceiving using IVF. However, we found no association between women's psychological stress and gestational age and birth weight in the overall analyses and also stratified by mode of conception. Similarly, we observed no differences in women's psychological stress with any of the measured outcomes by socioeconomic factors.DiscussionThese results highlight the importance of considering the preconception window and mode of conception when evaluating the relationship between women's preconception stress and live birth.