bluuebunny/crossref_metadata_2025_split huggingface dataset:
Subcutaneous Fat Thickness with HDL and LDL Levels in Overweight Female Student
Authors: Damayanti Amilia Yuni , Fatimah Fatimah , Luthfiya Lulu’ , Kusumadiastuti Afina Deni 
Published: January 2024

Background: Indonesia is now facing overweight problem as one of the major nutritional problems. It occurs due to excessive fat in the body. The distribution of body fat from subcutaneous fat can increase health risks such as dyslipidemia, one of which is characterized by abnormal High-Density Lipoprotein (HDL) and Low-Density Lipoprotein (LDL) levels.
Objectives: The purpose of this study was to analyze the relationship between subcutaneous fat thickness and HDL LDL levels in overweight students at Universitas Darussalam Gontor.
Methods: This study used a cross-sectional design. The research subjects were 50 overweight adult women aged 18-25 years using the Lemeshow formula selected using consecutive sampling while the data analysis using the Chi-Square test. Data taken includes body fat percentage from measuring the thickness of subcutaneous fat folds using a skinfold caliper measuring instrument, and checking the lipid profile from HDL and LDL levels.
Results: The average thickness of subcutaneous fat in overweight female students was 32% body fat with high category (64%). The average HDL level was classified as normal (70%), while the LDL level was classified as high (58%). The results of the analysis test on the relation between subcutaneous fat thickness and HDL levels showed no significant difference with HDL levels (p-value = 0.199 [>0.05]). While there is a significant relationship between the subcutaneous fat thickness and LDL levels with a p-value of 0.042 (<0.05).
Conclusions: There is no significant relationship between subcutaneous fat thickness and HDL level contrarily, there is a relationship between subcutaneous fat thickness and LDL levels. Monitoring the thickness of subcutaneous fat needs to be done as a form of controlling LDL levels.
Sindrom Makan Malam, Asupan Serat, dan Pendapatan Rumah Tangga dengan Kejadian Gizi Lebih pada Siswa SMAN 6 Depok
Authors: Putri Salsabila Athirah , Marjan Avliya Quratul , Sofianita Nur Intania , Simanungkalit Sintha Fransiske 
Published: January 2024

Latar Belakang: Masalah gizi yang dialami remaja saat ini bergeser pada kondisi gizi lebih yang terdiri dari kegemukan dan obesitas. Gizi lebih ini terjadi ketika terdapat penumpukan lemak yang berlebihan dalam tubuh, dan berpotensi meningkatkan risiko penyakit-penyakit degeneratif seperti hipertensi, diabetes melitus, penyakit jantung, dan lainnya. Berdasarkan Riskesdas 2018, prevalensi gizi lebih remaja secara nasional sebesar 13,5%. Faktor risiko kejadian gizi lebih beberapa diantaranya yaitu genetik, psikologis, asupan energi berlebihan, aktivitas fisik dan tingkat sosial ekonomi. Sindrom makan malam termasuk dalam perilaku makan menyimpang yang berkaitan dengan kegemukan dan obesitas.
Tujuan: Menganalisis hubungan sindrom makan malam, asupan serat, dan pendapatan rumah tangga dengan kejadian gizi lebih pada siswa SMAN 6 Depok.
Metode: Desain studi penelitian ini adalah cross-sectional, sampel diambil dengan teknik stratified random sampling sebanyak 100 siswa SMAN 6 Depok. Pengukuran status gizi berdasarkan berat badan dan tinggi badan, sindrom makan malam diukur menggunakan The Night Eating Syndrom Questionnaire, asupan serat diukur dengan Semi Quantitative Food Frequency Questionnaire (SQ-FFQ) dan pendapatan keluarga diklasifikasikan berdasarkan Upah Minimum Regional (UMR) Kota Depok. Analisis data menggunakan chi-square dan fisher exact.
Hasil: Analisis bivariat menunjukkan sindrom makan malam (p=0,004) memiliki hubungan dengan kejadian gizi lebih. Asupan serat (p=1,00) dan pendapatan rumah tangga (p= 0,954) tidak memiliki hubungan dengan kejadian gizi lebih. Berdasarkan analisis multivariat, faktor yang paling berhubungan dengan gizi lebih adalah sindrom makan malam.
Kesimpulan: Sindrom makan malam merupakan faktor yang paling berhubungan dengan gizi lebih. Peneliti menyarankan untuk menghindari stress, durasi tidur yang cukup dan mengontrol asupan terutama saat malam hari.
Factors Associated with Expenditure on Animal Protein among Indonesian Households
Authors: Mauludyani Anna Vipta Resti , Syafiq Ahmad 
Published: January 2024

Background: Eating animal protein (AP) can prevent stunting in children under five, which currently is still 21.5%. Due to scarce resources, households had trouble distributing the cost and frequently had to choose between it and other food expenses.
Objectives: This study aimed to examine the relationship between various food expenditures and expenditure on AP among Indonesian households.
Methods: This was a cross-sectional study using secondary data. Data on household food expenditures on AP, prepared food and beverage, cereals, instant noodles, fruits, cooking oil, cigarette, and sugar, total expenditure, household size, and age and education of household head from 97,467 household samples with children under five were obtained from the National Socioeconomic Survey (Susenas) March 2018. Susenas data were collected through interviews using a structured questionnaire. Using IBM SPSS Version 22, a multiple linear regression was carried out, adjusted for household socioeconomic factors.
Results: The average per-capita household expenditure on AP was IDR 24,912, contributing 4.72% to total food expenditure. This expenditure was higher than that on cereals (3.77%) but lower than that on prepared foods and beverages (6.15%). There was a positive association (p<0.001) between fruits, instant noodles, cooking oil, sugar, and beans and nuts expenditure and AP expenditure. Contrarily, there was an inverse relationship between prepared food and beverage (p<0.001), cereals (p=0.004), and cigarette expenditure (p<0.001) and animal protein expenditure.
Conclusions: The amount spent on animal proteins was positively correlated with other food. It is possible that the consumption of animal proteins would increase if household funds were diverted from cigarettes and prepared food and beverage.
Pandangan Ahli Gizi Tentang Pelayanan Gizi Berbasis Gen Di Indonesia
Authors: Putri Sintia Aurilia , Aji Arif Sabta , Sampurno Edi , Aprilia Veriani , Zulfa Ifana Fitria , Alfiana Rina , Hafizhah Rafiqah Dwita , Farhan Alfina Ulfah , Surendran Shelini 
Published: January 2024

Latar Belakang: Penyakit kardiometabolik adalah penyebab utama kematian, morbiditas dan pengeluaran perawatan kesehatan polimorfisme nukleotida tunggal berhubungan dengan penyakit dan karakteristik kardiometabolik. Pandangan ahli gizi terhadap pelayanan gizi berbasis genetik memegang peranan penting dalam proses pencegahan dan penanganan dari penyakit-penyakit yang tidak menular tersebut (PTM).
Tujuan: Mengetahui gambaran pandangan ahli gizi terhadap pelayanan gizi berbasis gen di Indonesia.
Metode: Penelitian ini menggunakan metode penelitian kualitatif dengan pendekatan fenomenologi. Informan dalam penelitian ini adalah ahli gizi Indonesia yang berdomisili di lima provinsi besar yaitu DKI Jakarta, Jawa Barat, Jawa Tengah, Jawa Timur dan D.I Yogyakarta. Wawancara mendalam dilakukan terhadap enam informan. Teknik sampling yang digunakan purposive sampling tema penelitian adalah pandangan ahli gizi tentang pelayanan gizi berbasis gen sebagai pencegah PTM, pengetahuan ilmu genetik dan tes genetik. Analisis tematik dilakukan dalam menggunakan Nvivo v.12.
Hasil: Pengetahuan ahli gizi terkait genetika dan pelayanan gizi berbasis gen sudah cukup baik, kemudian ahli gizi mengeluhkan biaya tes yang mahal untuk saat ini. Pengetahuan ahli gizi tentang pelayanan gizi berbasis gen sebagai pencegahan PTM sudah baik. Ahli gizi memahami apa itu PTM dan mereka mengaggap tes ini penting sebagai pencegahan PTM.
Kesimpulan: Ahli gizi memiliki pandangan bahwa pelayanan gizi berbasis gen itu penting untuk pencegahan PTM dan ahli gizi sudah cukup baik mengenai ilmu genetik. Ahli gizi perlu melaksanakan sosialisasi ke masyarakat tentang pentingnya keuntungan tes genetik untuk mencegah PTM agar banyak masyarakat yang berminat untuk melakukan pelayanan gizi berbasis gen.
Deviations from the Teachings of Ma’had Al-Zaytun: A Review on MUI (Indonesian Ulema Council) Recommendations Toward Aswaja Ideology
Authors: Akhyar Yundri , Ningsih Wirda 
Published: January 2024

In 2002, a research team from the Indonesian Ulema Council (MUI) conducted research related to Ma’had Al-Zaytun. Deviation from the Teachings of Ma’had Al-Zaytun may occur in certain instances as the institution takes into consideration recommendations from the MUI (Indonesian Ulema Council). These recommendations serve as guidance for aligning their teachings with the religious principles and values upheld by the wider Muslim community in Indonesia. The research aims to determine some information regarding Ma'had Az-Zaitun cases, including Ma'had Az-Zaitun's religious activities and deviant religious teaching based on MUI. This study employs a qualitative case study methodology approach. The data was taken from news articles, journal articles, books, YouTube interviews, papers and other sources. Research shows that Panji Gumilang, as the leader of Ma'had Az-Zaitun and a teacher, engages in deviant religious teachings and practices that are against Aswaja’s doctrine. The derivations are Allowing adultery in certain conditions, allowing women in the front row in shalat, allowing women as khatib, and allowing women and non-Muslims in the same prayer row, following the madhab of Bung Karno, singing 'havenu shalom aleichem' which is thick with Judaism, Al-Qur’an based on what Muhammad prophet words, and interpreting the Al-Quran haphazardly which does not comply with the methodology of scientific interpretation of verses, both in terms of the evidence used or the madlul or meaning.
Association of an eight-gene signature prognosis model with tumor immunity in medulloblastoma
Authors: Han DongMing , Jia Zetian , Zou Wanjing , Liu Raynald , Hu Yuhua , Qiu Xiaoguang , Li Chunde , Liu Hailong , Li Jiankang , Jiang Tao 
Published: January 2024

Abstract
Background
The tumor microenvironment (TME) plays an important role in cancer progression. We investigated TME-specific gene signatures and established a risk score to predict the outcome of medulloblastoma (MB) patients.
Methods
We evaluated TME parameters of 240 MB patients at Beijing Tiantan Hospital Capital Medical University with the ESTIMATE algorithm. Co-expression network analysis of differentially expressed and weighted genes (WGCNA) was used to identify intersecting genes. Using least absolute shrinkage and selection operator regression and backward stepwise regression we obtained a TME-associated risk score (TMErisk) based on eight prognostic gene signatures (CEBPB, OLFML2B, GGTA1, GZMA, TCIM, OLFML3, NAT1, and CD1C), verified in a GEO dataset (GSE85217).
Results
The correlation between TMErisk and TME, immune checkpoint, mRNAsi, and tumor mutation burden (TMB) was analyzed. MB patients’ response to immunotherapy was evaluated using immune-phenoscore (IPS) and drug sensitivity. A high TMErisk score indicated a worse overall survival. TMErisk scores were negatively correlated with immune cells, immune checkpoints, and human leukocyte antigens. TMErisk scores correlated significantly negatively with TMB and IPS for specific molecular subtypes. Tumor mRNAsi was associated with TME-risk.
Conclusions
A prognostic model based on TME-specific gene signatures may be used as a biomarker for evaluating prognosis and predicting response to immunotherapy in MB patients.
Forecast of Guangzhou port logistics demand based on BP-NN
Authors: Lyu Shiqi , Feng Junjia , Liu Lianhua 
Published: January 2024

Abstract
In recent years, the port economy of our country has developed rapidly. Guangzhou Port is an important node of the maritime transportation of the Belt and Road, connecting the hinterland economy of our country with the countries along the Belt and Road, which is of great significance to promote the economic development of the hinterland of our country. It is of great significance to predict the freight development demand of Guangzhou port scientifically and reasonably, which is beneficial to optimize the infrastructure construction and logistics system planning of Guangzhou port. This paper selects the port cargo throughput, foreign trade cargo throughput, container cargo throughput three index values to measure the freight development of Guangzhou port. Firstly, the GM(1,1) model and BP neural network model are constructed to predict the freight demand of Guangzhou port. Then, the GM(1,1) model and BP neural network model are combined to predict again. By comparing the three models, the results show that the accuracy of the combined model is better than that of the single model. The combined model of BP neural network and GM(1,1) can be effectively applied in the prediction of Guangzhou port logistics demand. Finally, the combined model of BP neural network and GM(1,1) is used to forecast the freight development demand of Guangzhou Port in 2022–2024, which provides reference for the development planning of Guangzhou Port.
High grazing pressure accelerates changes in community assembly over time in a long-term grazing experiment in the desert steppe of northern China
Authors: Kang Sarula , Wang Zhongwu , Zhao Mengli , Wu Saqila , Zhang Xia , Zhu Lin , Han Guodong 
Published: January 2024

Abstract

Although numerous studies have shown that grazing gives rise to community succession at the species level, there is a lack of discussion about how grazing drives community assembly based on plant functional traits in a long-term experiment. We find different grazing intensities lead to temporal effects on trait-mediated multidimensional community assembly processes, including community weighted trait mean (CWM), trait filtering, and trait distribution (divergence/convergence). CWM, trait filtering, and trait distribution of different traits transformed over the 16-years grazing experiment. Major findings include the following: (1) CWM changed rapidly under higher grazing intensity, and the removal of unsuitable traits from communities over time was accelerated with grazing intensity. (2) Patterns of trait filtering strongly depended on grazing intensity and trait types, most traits were filtered at high grazing intensity area, and relative effects of trait filtering in the community assembly process strengthened with grazing time. (3) Traits related to the cycling of biological matter more frequently diverged after long-term grazing, especially in higher grazing areas. This reflects the importance of resource capture partitioning within species, giving priority to maintaining the basic biological matter cycle of the ecosystem under the long-term nutrient deficiency experienced by plants with overgrazing. These results showed that community assembly in this vulnerable ecosystem experiencing intense grazing takes more than a decade to develop and maintain fundamental ecosystem functions, such as biological matter cycling. We are also reminded of the importance of establishing grazing intensity thresholds to maintain sustainable utilization of grasslands in the desert steppe.
The design of evaluation algorithm for second language acquisition efficiency in oral English teaching based on students' psychological anxiety
Authors: Chen Lili , Chen Yanling 
Published: January 2024

Abstract
Psychological anxiety is one of the significant factors that affect the effectiveness of second language acquisition in oral English teaching. In order to improve the effectiveness of students' second language acquisition, an evaluation algorithm for the effectiveness of second language acquisition in oral English teaching based on students' psychological anxiety was designed. The evaluation indicator system of second language acquisition effectiveness in the initial oral English teaching is constructed from two aspects of main factors and objective factors; Considering the redundancy of indicator information in the initial indicator system, the circle ill-condition index analysis method is used to screen the evaluation indicators in the initial evaluation indicator system and determine the final evaluation indicator system. A comprehensive evaluation model based on improved fuzzy sets is built, entropy weight method is used to calculate the weight of different evaluation indicators, and on this basis, max-min composite calculation method is used to obtain the fuzzy comprehensive evaluation results of the evaluation indicators. According to the maximum membership criteria, it can determine the evaluation level of second language acquisition effectiveness in oral English teaching, and achieve the second language acquisition effectiveness evaluation. The experimental results show that the algorithm can obtain accurate evaluation results based on a highly scientific evaluation indicator system, and effectively improve the effectiveness of students' second language acquisition.
Assessing the impacts of biogeochemical drivers and land cover changes on vegetation in the Guanzhong Plain urban agglomeration, China
Authors: Jin Zihan , Zhao Anzhou , Tian Xinle 
Published: January 2024

Abstract
Vegetation is affected by the complex urban environment. Exploring vegetation change trends from an urban-rural gradient perspective can help understand the response of vegetation to urbanization and provide scientific basis for predicting future vegetation change. Based on Landsat data processed in the Google Earth Engine (GEE) environment, Enhanced Vegetation Index (EVI) change in the Guanzhong Plain urban agglomeration from 2000 to 2020 was calculated, and EVI change was analyzed from the perspective of the urban-rural gradient and different city sizes. Then, the impacts of biogeochemical driving factors and land cover changes to the EVI trend were investigated. The results showed that: (1) The EVI trends of the Guanzhong Plain urban agglomeration had a "V"-shaped characteristic along with the urban-rural gradient. The EVI trends for the urban cores (UC), urban new towns (UNT), urban fringes (UF), rural fringes (RF), and rural backgrounds (RB) were 0.0459 ± 0.0080/10a, 0.0347 ± 0.0093/10a, -0.0090 ± 0.0121/10a, 0.0738 ± 0.0075/10a and 0.0817 ± 0.0082/10a, respectively. (2) From the perspective of different city sizes, EVI in the UC, UNT, and UF increased as city size increased. EVI in the UC, UNT, and UF respectively increased from 0.0333 ± 0.0058/10a, 0.0281 ± 0.0077/10a, and − 0.0189 ± 0.0082/10a in small towns to 0.0520 ± 0.0091/10a, 0.0402 ± 0.0120/10a, and − 0.0114 ± 0.0042/10a in megacities. (3) EVI change in the UC was mainly affected by urban biogeochemical driving factors (UBD), and its contribution rate was 51.9%. EVI change in UNT was mainly affected by UBD, background biogeochemical drivers (BBD) and urban expansion or densification (UED), which had contribution rates of 37.2%, 30.7%, and − 29.6%, respectively. EVI change in the UF was mainly affected by UED, and its contribution rate was − 51.9%. EVI change in RF and RB were mainly affected by BBD, with contribution rates of 70.2% and 94.0%, respectively. (4) The contribution rates of UBD in the UC, UNT, and UF generally in-creased as city size increased. The above results indicate that biogeochemical drivers and land cover changes jointly regulate EVI change trends in the urban-rural gradient of the Guanzhong Plain urban agglomeration, which can help assess the impact of complex environmental changes on vegetation changes in urban regions.
Moisture prediction of municipal sludge drying process using BP neural network modeling and genetic algorithm optimization
Authors: Zhang Kaiqiang , Wang Xiaolei , Wang Ningfeng 
Published: January 2024

Abstract
The detection of internal moisture during the municipal sludge drying process is challenging. To explore the dynamic changes in internal moisture during the hot air drying process of municipal sludge and achieve accurate predictions of moisture content(MC) throughout the drying process, experiments were conducted to monitor the moisture variations of municipal sludge under different drying temperatures (50, 60, 70℃), sludge layer thicknesses (5, 10, 15mm), and flow pressure differentials (0.61, 0.85, 1Kpa). Drying time, drying temperature, sludge layer thickness, and flow pressure differential were employed as input variables, while moisture ratio served as the output variable. Predictive models for MC during the hot air drying of municipal sludge were established using both Back Propagation (BP) neural network and Genetic Algorithm-optimized BP (GA-BP) neural network algorithms. Additionally, the drying characteristic curves obtained from experiments were nonlinearly fitted to seven different mathematical models. The results revealed that temperature exerted the most significant influence on the drying process of municipal sludge. Reducing the sludge layer thickness enhanced the drying rate of municipal sludge. The moisture reduction rate of municipal sludge exhibited a trend of initially rapid reduction followed by a slower decline throughout the entire drying process. The Page model demonstrated greater accuracy in describing the hot air drying process of municipal sludge compared to other models. Validation and error analysis of the BP and GA-BP moisture prediction models were performed, with coefficient of determination for both models' test sets reaching 0.99978 and 0.99989, and root mean square errors at 0.49148 and 0.29468, respectively. This indicates that the predictive model established by the GA-BP algorithm exhibits superior performance in accurately predicting the dynamic changes in moisture during the drying process of municipal sludge. The research findings provide a theoretical basis for optimizing municipal sludge drying processes and guiding the efficient utilization of municipal sludge resources.
Keywords: Municipal sludge, Drying characteristics, Genetic algorithm, Neural network, Moisture prediction, Sensitivity analysis
Altered Hippocampal Connectivity is Associated With Cognitive Impairment in Migraine Patients
Authors: Yulug Burak , Ayyildiz Behcet , Sayman Dila , Cankaya Seyda , Duran Umutcan , Ucak Aydogan Dogukan , Karaca Ramazan , Ayyildiz Sevilay , Ozdemir Ece , Ozsimsek Ahmet , Lakadamyali Hatice , Sayman Ceyhun , HANOGLU LUTFU , Salar Ali Behram , Altay Ozlem , Velioglu Halil Aziz , Mardinoglu Adil 
Published: January 2024

Abstract
Background: The pathogenesis of the cognitive impairment associated with migraine is still unknown. However, the recurrence rate is rising rapidly, and recent studies suggest that migraine patients may be at an increased risk of dementia. The aim of the current study is to investigate alterations in hippocampal subfield functional connectivity and volume in patients with migraine.
Methods: Ninety participants were recruited consecutively from the Alanya University Neurology Department Headache Clinic, 49 patients with migraine and 41 healthy controls. All participants underwent functional and T1-weighted anatomical imaging. Seed-based functional connectivity analysis was conducted using the CONN toolbox program, while hippocampal subfield volumes were analyzed using FreeSurfer.
Findings: Significant differences were observed in terms of some specific hippocampal subfield volumes. We also found that the left-CA3, left-HATA, and right-fimbria exhibited functional differences between the two groups that were significantly correlated with cognitive scores (linear regression results).
Interpretation: Our findings suggest that functional and structural brain alterations may play a critical role in comparatively earlier stages of migraine with cognitive impairment, leading to migraine patients exhibiting subtle cognitive symptoms associated with critical brain network and structural changes that may have a particular impact on the likelihood of developing dementia. To summarize, the current investigation, to the best of our knowledge the first of its kind, revealed considerable functional and structural changes in the hippocampus correlated with cognitive performances in migraine patients.
Funding: This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.