bluuebunny/crossref_metadata_2025_split huggingface dataset:
INTERNALISAI NILAI-NILAI PANCASILA DI TINGKAT MADRASAH ALIYAH NEGERI 4 YOGYAKARTA
Authors: Septoyadi Zikry , Candrawati Vita Lastriana , Habibi Moh. Mizan 
Published: December 2022

Latar belakang penelitian ini adalah Kekaburan visi dan melemahnya karakter bangsa menjadi beban nasional yang berat ketika berakumulasi dengan berbagai persoalan internal yang kompleks pada tubuh bangsa ini. Salah satu kekaburan visi di atas dapat dilihat dari perilaku intoleransi berbasis SARA di tengah masyarakat termasuk di sekolah yang akhir-akhir ini marak terjadi. Wajah umat beragama tidak terkecuali Islam tampak mengejutkan sekaligus memiriskan, dengan banyaknya kasus kekerasan dan ancaman bom dengan membawa-bawa nama agama (Islam). Penelitian ini bertujuan untuk Menjelaskan kontruksi filosofis nilai-nilai Pancasila yang dilaksanakan di salah satu Madrasah Aliyah Yaitu MAN 4 Sleman. Penelitian ini adalah penelitian lapangan field research yang bersifat kualitatif. Teknik pengumpulan data menggunakan teknik observasi, wawancara, dan dokumentasi. Penelitian ini akan berkontribusi nyata di tengah menguatnya radikalisme, kekerasan berbasis SARA dan intoleransi di tengah kalangan muda Indonesia. Secara ringkas kontribusi penelitian itu dapat dijabarkan sebagai berikut, Adanya basis data sebagai pengayaan bagi pemerintah, sekolah ataupun pemangku kepentingan lainnya khususnya yang berkenaan dengan upaya merumuskan konten nilai-nilai pancasila dan visi kebangsaan kebutuhan bangsa saat ini dan masa depan: (menumbuhkan jiwa peserta didik yang shalih, toleran dan cinta terhadap bangsanya), Hasil penelitian dapat di simpulkan bahwa MAN 4 Sleman sudah sejalan dengan nilai-nilai wawasan kebangsaan Pancasila, MAN 4 Sleman menerapkan kontruksi filosofis nilai-nilai pancasila di dalam sekolah dengan menggunakan berbagai hal yang di lakukan oleh guru maupun kepala sekolah seperti religius, jujur, toleransi, dispilin, kerja keras, kreatif, mandiri, demokratis, rasa ingin tahu, semangat kebangsaan, cinta tanah air, bersahabat komunikatif, cinta damai, gemar membaca, peduli lingkungan, peduli sosial, tanggung jawab sudah menjadi agenda program pendidikan karakter yang ada di MAN 4 Sleman.
AN ANALYSIS OF STUDENT BOREDOM LEARNING DURING THE COVID 19 PANDEMIC IN ELEMENTARY SCHOOL JAKARTA, INDONESIA
Authors: Nafiah Maratun , Lestari Ika , Zahra Afnitya 
Published: December 2022

Almost all sectors of life have felt the impact of the COVID-19 pandemic. Education is one of the sectors that feel the effect. Schools conduct distance learning to minimize the spread of the COVID-19 virus. As a result, many students experience various emotions, one of which is boredom. This study analyzes learning boredom between male and female elementary school students in Jakarta, Indonesia, during the COVID-19 pandemic.
The research method used is descriptive quantitative with data in the form of a closed questionnaire where respondents are given five alternative answers. Furthermore, it is investigated whether there is a difference in boredom between men and women. This research was conducted with 23 male students and 20 female students in elementary school. The results showed boredom in male and female students caused by psychological factors, situational factors, and cultural factors. There are differences in learning boredom between male and female students, but not statistically significant.

Keywords: COVID-19 pandemic; distance learning; boredom learning; elementary school.
Stratigraphic Drilling in the Northern Kara Sea: First Case and Preliminary Results
Authors: Malyshev N.A. , Verzhbitskii V.E. , Skaryatin M.V. , Balagurov M.D. , Ilyushin D.V. , Kolyubakin A.A. , Gubareva O.A. , Gatovskii Y.A. , Lakeev V.G. , Lukashev R.V. , Stupakova A.V. , Suslova A.A. , Obmetko V.V. , Komissarov D.K. 
Published: December 2022

Abstract
—Until recently, the sedimentary cover age and composition of the marginal North Kara Basin (northern part of the Kara Sea, Russian Arctic) remained uncertain because of the absence of direct data from parametric and exploration wells. Taking into consideration the absolute importance of these issues for understanding the regional geology of the Arctic shelf and evaluating its petroleum potential, Rosneft Oil Company, together with AO RosGeo, drilled ten shallow stratigraphic wells in fall 2020 using the research vessel (RV) Bavenit to reveal the complete stratigraphic range of the North Kara Basin. The ultrahigh-resolution (UHR) seismic survey was carried out by the RV Kapitan Voronin to adjust the well site locations and integrate the well sections into the regional geological model based on 2D seismic data during the drilling campaign. As a result, 300 m core was recovered from 11 Paleozoic and two Mesozoic stratigraphic units, previously investigated by 2D seismic and outcrop studies of the Severnaya Zemlya Archipelago. Lab analyses (biostratigraphy, lithology, sedimentology, geochemistry, and other types of core analysis) were performed at Lomonosov Moscow State University. We present obtained lab results confirming that the main part of the North Kara Basin section belongs to the Paleozoic; late Cambrian–Late Devonian rock ages have been derived. Several Paleozoic units tend to be older than those in previously published models. Core samples include mainly terrigenous rocks with insignificant carbonate presence. Paleozoic units are overlain by a thin Mesozoic terrigenous section dated from Middle Triassic to Middle Jurassic above a distinct angular unconformity. After a thorough analysis of all the lab results, we will obtain data on the ages of sedimentary units, as well as their lithology and depositional environments, and establish elements of the hydrocarbon system (source rocks, reservoirs, and seals) to evaluate the North Kara Basin petroleum potential with lesser uncertainty. We suppose that our results will significantly contribute to establishing a stratigraphic framework, reconstructing the basin history, and evaluating the petroleum potential of the whole Arctic region.
The role of Sonic Hedgehog pathway in the development of spinal cord injury in rat model
Authors: Zhang Gensheng , Chen Weiting , Wang Hongyang , Chen Jianping , Tang Min , Lin Bin , Lin Aini , Lin Xiaoyan , Wang Yesong 
Published: December 2022

Abstract
The purpose of this study was to explore whether and how the Shh pathway exert a neuroprotective effect in SCI. The SCI model of rat was established by a Allen's weight-drop method. Thirty rats were divided into 5 groups as follows: Control, Sham, SCI model, SCI + Shh activator, and SCI + Shh inbibitor. Rats in group of Shh activator or inbibitor were administrated with purmorphamine (10 mg/kg) or cyclopamine (10 mg/kg) respectively daily within one week after establishment of SCI model. Scores of BBB and Reuter were evaluated at the time-points of 1st, 3rd, 5th and 7th day. The pathological injury, the levels of IL-1β and TNF-α and the protein and mRNA expressions of Gli1, Shh and Smoothened in spinal cord tissue were assessed on 7th day, respectively. Rat treated with purmorphamine exhibited a significant increase in BBB score in comparison with SCI group. Interestingly, purmorphamine treatment declined SCI-induced increases in the levels of IL-1 β and TNF-α, whereas cyclopamine administration up-regulated their expressions of these inflammatory cytokines. The pyknotic neuronal cells in gray matter area of the spinal cord and the area of cavity in white matter area were reduced in purmorphamine treatment when compared with SCI group, whereas treatment with cyclopamine elicited an opposite changes. In conclusion, this study demonstrated that Shh activator plays an important protective role in the development of SCI in rat model, which might provide a new strategy via targeting Shh pathway to prevent or treat SCI in the future.
An Untargeted Genome-Wide SNP Investigation of Chemical Intolerance
Authors: Palmer Raymond F , Almeida Marcio , Perales Roger B. , Rincon Rudy , Miller Claudia S. 
Published: December 2022

Abstract
Background
Chemical Intolerance (CI) is characterized by multi-system symptoms initiated by exposures to environmental toxins. Symptoms include fatigue, headache, mood changes, musculoskeletal pain, gastro-intestinal issues, difficulties with memory/concentration. With mixed results, researchers have used targeted genetic approaches to understand the genetic pathways associated with CI. This study is the first to apply a genome-wide untargeted exploratory approach.
Methods
A high-density genotyping platform was used to perform a hypothesis-free search for genetic variants associated with CI in a set of 200 participants. Each CI patient was verified using a validated survey. The association between CI and SNPs was obtained using SOLAR (Sequential Oligogenic Linkage Analysis Routines). Gene-Chemical-Disease interactions were determined using the DisGeNET Database.
Results
Several associated SNPs/genes were identified with either increased or decreased risk of CI. Four chemicals were found to alter gene expression (bisphenol A, valproic acid, aflatoxin B, and benzo(a)pyrene). There were common adverse health effects associated with the genes and the chemicals that influence them, including inflammation, gastrointestinal and immune system disorders, nervous system diseases, and intellectual disabilities.
Discussion
This study supports evidence of novel genetic components associated with CI that may interact with common ubiquitous chemical and drug exposures affecting gene expression. The identified health consequences are common to individuals with CI and implies gene/chemical exposure interactions that may influence the development or exacerbation of symptoms associated with CI. The identified chemicals affecting these genes are ubiquitous environmental toxins, entering the body through air, food, and water, suggesting the need for greater public health policy efforts.
Clinical XLNet-based End-to-End Knowledge Discovery on Clinical Text Data using Natural Language Processing
Authors: Pagad Naveen S , N Pradeep , Chakrabarti Tulika , Chakrabarti Prasun , Elngar Ahmed A. , Margala Martin , Nami Mohammad , Sharma Neha , Frimpong Samuel 
Published: December 2022

Abstract
A modern framework for assessing patient histories and conducting clinical research has been developed as the number of clinical narratives evolves. To discover the knowledge from such clinical narratives, clinical entity recognition and relation extraction tasks were performed subsequently in existing approaches, which resulted in error propagation. Therefore, a novel end-to-end clinical knowledge discovery strategy has been proposed in this paper. The clinical XLNet was used as a base model for handling the discrepancy issue. To predict the dependent clinical relation association, the multinomial Naïve Bayes probability function has been incorporated. In order to improve the performance of the proposed strategy, it takes into account entity pairs presented consecutively through the multi-head attention layer. Tests have been conducted using the N2C2 corpus, and the proposed methodology achieves a greater than 20% improvement in accuracy over existing neural network-based and transformer-based methods.
Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction
Authors: Zou Xiaolong , Liang Chen , Wang Bowen , Hao Shaogang , Chen Guangyong , Heng Pheng-Ann 
Published: December 2022

Abstract
Graph neural networks (GNNs) have drawn more and more attention from material scientists and demonstrated a strong capacity to establish connections between the structure and properties. However, with only unrelaxed structures provided as input, few GNN models can predict the thermodynamic properties of relaxed configurations with an acceptable level of error. In this work, we develop a multi-task (MT) architecture based on DimeNet++ and mixture density networks to improve the performance of such task. Taking CO adsorption on Cu-based single-atom alloy catalysts as an example, our method can reliably predict CO adsorption energy with a mean absolute error of 0.087 eV from the initial CO adsorption structures without costly first-principles calculations. Further, compared to other state-of-the-art GNN methods, our model exhibits improved generalization ability when predicting catalytic performance of out-of-domain configurations, built with either unseen substrate surfaces or doping species. The proposed MT GNN strategy can facilitate the catalyst discovery and optimization process.
FAM3 family genes are associated with prognostic value of human cancer: a pan-cancer analysis
Authors: Dong Qing-Tai , Ma Dan-Dan , Gong Qi , Lin Zhen-Yu , Li Zhong-Hu , Ye Jia-Xin , Qin Chun-Hui , Jin Wei-Dong , Zhang Jian-Xin , Zhang Zhi-Yong 
Published: December 2022

Abstract
Background: Family with sequence similarity three member (FAM3) plays a crucial role in the malignant development of various cancers of human. Our study aimed to investigate the role of FAM3 family genes in prognosis, immune subtype, tumor immune microenvironment, stemness score, and anticancer drug sensitivity of pan-cancer.
Methods: The expression, survival, immune subtype, tumor microenvironment, stemness score, and anticancer drug sensitivity analysis data of FAM3 family genes associated with pan-cancer from UCSC Xena GDC and CellMiner databases. Furthermore, we investigated the tumor cellular functions and clinical prognostic value FAMC3 in pancreatic cancer (PAAD) using cellular experiments and tissue microarray.
Results: The results revealed that FAM3 family genes are significantly differential expression in tumor and adjacent normal tissues in 7 cancers (CHOL, HNSC, KICH, LUAD, LUSC, READ, and STAD). The expression of FAM3 family genes were negatively related with the RNAss, and robust correlated with immune type, tumor immune microenvironment and drug sensitivity. Meanwhile, overexpression FAM3C promoted PAAD cell proliferation, migration, invasion and suppressed PAAD cell apoptosis. While knockdown of FAM3C triggered opposite results. High FAM3C expression was associated with duodenal invasion, differentiation and liver metastasis.
Conclusion: This study provided a new perspective on the potential therapeutic role of FAM3 family genes in pan-cancer. In particular, FAM3C may be a new marker for PAAD, providing a new idea for the treatment of PAAD.
Spatial landslide risk assessment in a highly populated Rohingya refugee settlement area of Cox’s Bazar, Bangladesh
Authors: Sami Md. Shamsudduha , Hoque Muhammad Al-Amin , Moniruzzaman Md. , Pradhan Biswajeet 
Published: December 2022

Abstract

In recent time, landslide has become the major concern in the southeast part of Bangladesh. The study aims to develop comprehensive landslide risk mapping by applying the analytical hierarchy process (AHP) and geospatial techniques in Ukhiya and Teknaf Upazilas (highly populated Rohingya Refugee Settlement area) located in the southeast part of Bangladesh. To assess the landslide risk, 12 influencing criteria of hazard, vulnerability and exposure such as precipitation intensity, landslide inventory, distance to fault line, stream density, distance to stream network, elevation, aspect, slope, geology, normalized difference vegetation index (NDVI), landuse-landcover (LULC), and population density have been selected under the relevant components of risk. The spatial criteria were weighted using AHP, and the weighted overlay techniques were used to produce the risk map. The findings demonstrate that 2.19% of the total area is classified as a very-high risk zone and 12.74% is categorized as a high-risk zone. Moderate risk areas cover 23.08% of the total area. The risk map is validated by the landslides inventory. The outcomes can be used by any of the concerned authorities to take the necessary steps to reduce the impact of landslides.
Social satisfaction evaluation in urban physical examination — a case study of Qingdao
Authors: Ding Kexin , Xu Jun , Yang Hui , Yang Wenqing 
Published: December 2022

Abstract
On the occasion of the fourth anniversary of General Secretary Xi Jinping's visit to Shandong, this paper takes the case of Qingdao city health examination and adopts the social satisfaction evaluation system to highlight the idea of "people-oriented". The purpose of city health examination is to identify "urban illnesses" and suggest the appropriate treatment. Qingdao City introduced the social satisfaction evaluation index system in the city health examination, and summarized the problems in the city construction and management through the satisfaction evaluation results, and found that the overall satisfaction score and satisfaction performance of the residents were relatively low, primarily due to: 1) the unbalanced spatial layout of infrastructure and public service facilities in each district in the city; and 2) the unbalanced spatial layout of infrastructure and public service facilities in each district in the city. 3) Housing price polarization and a lack of housing inclusion. 4) The issue of problematic parking remains unresolved. The article makes a suggestion
Drug discovery-based approach identifies improved nitrification inhibitors
Authors: Beeckman Fabian , Drozdzecki Andrzej , De Knijf Alexa , Corrochano-Monsalve Mario , Bodé Samuel , Blom Pieter , Goeminne Geert , Gonzalez-Murua Carmen , Lücker Sebastian , Boeckx Pascal , Stevens Christian , Audenaert Dominique , Beeckman Tom , Motte Hans 
Published: December 2022

Abstract
Nitrogen (N) fertilization is crucial to sustain global food security, but fertilizer N production is energy-demanding and subsequent environmental N losses contribute to biodiversity loss and climate change. To mitigate the environmental impact of N-fertilizers, nitrification inhibitors can be applied to produce so-called enhanced efficiency fertilizers (EEFs), which effectively reduce nitrogen pollution. However, current nitrification inhibitors have limitations and do not target all nitrifying microorganisms. Hence, to identify broad-spectrum nitrification inhibitors, we adopted a drug discovery-based approach and screened 45,400 small molecules on different groups of nitrifying microorganisms. Although a high number of potential nitrification inhibitors were identified, none of them targeted all nitrifier groups. However, co-applying different types of inhibitors resulted in a synergistic effect, both in the reduction of ammonium consumption and greenhouse gas emissions, beyond what is achieved with currently applied nitrification inhibitors. This advocates for combining different types of nitrification inhibitors in EEFs to render agriculture more sustainable.
Synthesis, Characterization and Enhanced Electrical Properties of Polyaniline-Tungsten Oxide Composites by in-situ Polymerization Technique
Authors: Manjunatha B , Shweta.C.Gumma  , Nagajyoti  , Rahul Jabnoor , SunilKumar A , Sangshetty Kalyane , Anilkumar G.Bidve 
Published: December 2022

Abstract
The conducting polyaniline (PANI) and PANI doped with tungsten oxide (WO3) with varying wt% of WO3 are prepared by using in-situ chemical oxidative polymerization method. The X-ray diffraction it clearly reveals that pure PANI is amorphous whereas PANI/WO3 composites are in crystalline in nature. The electrical conductivity studied by four probe technique at 30–200°C. All the composites showed increase in conductivity values with the increase in WO3 content where the composite with 45% WO3 content showed highest value of 0.12 S/cm while the lowest conductivity of 0.06 S/cm was found in 5% WO3 content composite. The dielectric constant shows unusual response with respect to frequency with very high dielectric constant of 4.191X103 at 3X106 Hz for 45 wt% of WO3 in PANI, which attributes to the stronger localization of charge carriers and electrical relaxation processes.
PM2.5 concentration forecasting in the area of Jing-Jin-Ji using models based on RF, RR, SVM, and ExtraTrees
Authors: Ma Xin , Chen Tengfei , Ge Rubing , Xv Fan , Cui Caocao , Li Junpeng 
Published: December 2022

Abstract

In this paper 4 types of machine learning models, i.e., Random forest mode, Ridge regression model, Support vector machine model, and Extremely randomized trees model were adopted to predict PM2.5 based on multi-sources data including air quality, and meteorological data in time series. Data were fed into the model by using rolling prediction method which is proven to improve prediction accuracy in our experiments. The comparative experiments show that at the city level, RF and ExtraTrees models have better predictive results and on season level 4 models all have the best prediction performances in winter time and the worst in the summer time and RF model have the best prediction performance with the IA ranging from 0.93 to 0.98, with an MAE of 5.91 to 11.68 ug/m3. Consequently, the demonstration of models’ different performances in each city and each season is expected to shed a light on environmental policy implications.
Usefulness of texture and color enhancement imaging (TXI) in early gastric cancer found after Helicobacter pylori eradication
Authors: Shijimaya Takuya , Tahara Tomomitsu , Uragami Tomio , Yano Narumi , Tokutomi Yutaro , Uwamori Atsushi , Nishimon Shuhei , Kobayashi Sanshiro , Matsumoto Yasushi , Nakamura Naohiro , Okazaki Takashi , Takahashi Yu , Tomiyama Takashi , Honzawa Yusuke , Fukata Norimasa , Fukui Toshiro , Naganuma Makoto 
Published: December 2022

Abstract
Early-stage gastric cancer (EGC) found after Helicobacter pylori (Hp) eradication is often difficult to diagnose using conventional white light (WL) endoscopy. We aimed to evaluate whether Texture and Color Enhancement Imaging (TXI), a new image-enhanced endoscopy enhances the EGC lesions after Hp eradication. We also compared diagnostic accuracy and lesion detection time between WL and TXI in trainee endoscopists. 58 EGC lesions after successful Hp eradication were enrolled. Using endoscopic images in WLI, TXI mode 1 (TXI1), and TXI mode 2 (TXI2), visibility of EGC was assessed by six expert endoscopists using a subjective score. Mean color differences (Δ E) of four matched adjacent and intra-tumoral points were examined. Using randomly allocated images, diagnostic accuracy and lesion detection time were evaluated in three trainee endoscopists. Visibility score was unchanged (Score 0) in 20.7% (12/58) and 45.6% (26/57), slightly improved (Score 1) in 60.3% (35/58) and 52.6% (30/57), obviously improved (Score 2) in 45.6% (26/58) and 1.8% (1/57), in TXI1 and TXI2 compared to WL, respectively. Mean ΔE ± SEM in TXI1 (22.90 ± 0.96), and TXI2 (15.32 ± 0.71) were higher than that in WL (1.88 ± 0.26, both P < 0.0001). TXI1 presented higher diagnostic accuracy compared to WL, in two of three trainees (94.8% vs. 74.1%, 100% vs. 89.7%, P = 0.003; <0.005, respectively). Lesion detection time was shorter in TXI1 in two of three trainees (P = 0.006, 0.004, respectively) compared to WL. TXI improves visibility of EGC after Hp eradication that may contribute to correct diagnosis.