bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevention Measures and How to Handle Pre-Eclampsia (Literature Review)
Authors: Cahyanti Mia , Hermayanti Yanti , Maulana Indra 
Published: February 2023

Preeclampsia is a danger sign for pregnant women, especially at 20 weeks gestation, marked by increased blood pressure. At this time, preeclampsia is the second largest contributor to deaths globally, with preeclampsia worldwide 10% -15%. In Indonesia, there is an increase of 2% every year, indicating that adequate treatment and prevention efforts are needed. At present, most research on the prevention and management of preeclampsia discusses pharmacological treatment, not discussing nursing interventions. This Literature review aims to find out various prevention efforts for preeclampsia that are developing at this time. The research method is a literature study of research results published in 2010-2019. The strategy used to search literature is to use keywords preeclampsia, prevention, treatment methods, and nursing interventions, using Google Scholar, PubMed, Pro-Quest, Science Direct database, which reviewed using The Joanna Briggs Institute Critical Appraisal tools. The study results illustrate that there are several ways to reduce blood pressure. From 10 articles found one preventionnamely the article about consuming food and nine treatments, include: hypnotherapy, , foot massage, foot bath with warm water, cupping therapy, SEFT therapy, and murotal hearing. All articles described that intervention could reduce blood pressure, but the articles do not explain the reduction mechanism based on the intervention used. This Literature Study is expected to be information and consideration for health workers, pregnant women, and the community to handle pre-eclampsia mothers, with much interventions can doit to reduce pre-eclampsia.
Association of Hs-CRP Levels in Patients with Acute Coronary Syndromes and it’s Correlation with Angiographic Severity of Coronary Artery Stenosis
Authors: Sharma Aditya 
Published: February 2023

Objectives:
Significant advances have been made toward the development of biomarkers for prognostication of patients with atherosclerotic cardiovascular disease. One such marker is high-sensitivity C-reactive protein (hsCRP). It is a marker of inflammation mainly used to predict the risk of adverse cardiovascular (CV) events. Recent research also supports its role in atherogenesis. It is involved throughout the process of atheromatous plaque development. However, limited information is available about the relationship between levels of hs-CRP levels in patients presenting with acute coronary syndromes (ACS) and its association with outcomes. We conducted this study to assess the correlation between the levels of hs-CRP and the coronary angiographic findings in patients presenting with ACS and its correlation with outcomes.

Materials and Methods:
we carried an observational prospective study in patients presenting with ACS admitted to cardiology intensive coronary care unit in a tertiary care hospital. Patients underwent invasive coronary angiogram and serum Hs-CRP levels testing apart from other routine investigations. Correlation between severity of coronary stenosis, Hs-CRP levels and left ventricular ejection fraction (LVEF) at discharge was then assessed using statistical analysis.

Results:
Positive correlation was found between Hs-CRP levels and severity of coronary stenosis. Negative correlation was found between Hs-CRP levels and LVEF at discharge.

Conclusion:
We found that hs-CRP levels correlate well with angiographic severity. It was also observed that higher the hs-CRP levels more the number of vessels involved with patients with the left main + triple vessel disease (TVD) and TVD having maximum scores.
Improving Metacognitive Ability and Learning Outcomes with Problem-Based Revised Bloom's Taxonomy Oriented Learning Activities
Authors: Parwata I Gusti Agung Lanang , Jayanta I Nyoman Laba , Widiana I Wayan 
Published: February 2023

This study aims to analyze the impact of Bloom's revised taxonomy-oriented learning activities with problem-based learning models on students' metacognitive skills and learning outcomes. A quasi-experimental design is used as the research method, and the quasi-experimental design is implemented as a pure post-test-control design. All fourth-year students participated in the study, with a total of 132 students participating. The sample was randomly selected and corresponded to 84 students. A 10-question test was used to collect the data. MANOVA with SPSS support was used as the analytical method. The significance of the test results was < 0.00. According to the results, 0.05. This means that learning that uses a combination of problem-based learning models and learning activities aligned with the revised Bloom taxonomy can influence students' metacognitive skills and learning outcomes. Students are at the central of their learning, so they are actively involved in the learning process. This learning activity develops students' metacognitive skills and provides an opportunity to reflect on what they know about themselves and to be honest and confident in their knowledge. Additionally, learning activities are organized by learning objectives to help students improve their learning outcomes. Doi: 10.28991/ESJ-2023-07-02-019 Full Text: PDF
Existence and Uniqueness Solution of Fractional Order Regge Problem
Authors: Hilmi Hozan , Jwamer Karwan H.F 
Published: February 2023

In this paper, we look into a group of fractional boundary value problem equations involving fractional derivative fractional orders and there are two boundary value criteria in this equation. The existence and uniqueness solutions are obtained using the Banach fixed point theorem (Contraction mapping theorem) and the Schauder fixed point theorem. based on the method of fractional integral and integral operator, our primary findings are illustrated using examples.
تأثير تمرينات خاصة في بعض اوجه القوة العضلية و تراكم حامض اللاكتيك لدى لاعبي كرة اليد للمتقدمين
Authors: سلمان محمد ماجد , طه غفار علي 
Published: February 2023

هدفت الدراسة الىأعداد تمرينات تأثير تمرينات خاصة في نسبة تراكم حامض اللاكتيك والتخلص منه وبعض القدرات البدنية للاعبي الكرة اليد, كذلك التعرف على تأثير استخدام تمرينات خاصة في نسبة تراكم حامض اللاكتيك والتخلص منه وبعض القدرات البدنية للاعبي الكرة اليد للمجموعة التجريبية , وأيضاَ, التعرف على دلالة الفروق الإحصائية بين المجموعتين الضابطة والتجريبية في المتغيرات قيد الدراسة , أما منهج البحث , فقد يتكون مجتمع البحث من لاعبي الدوري النخبة للشباب بالكرة اليد المتكونه من الأندية (7) ، أما عينة البحث تكونت من لاعبي متقدمين نادي اربيل الرياضي بالكرة اليد البالغ عددهم (15) لاعباً ، تم اختيارهم بالطريقة العمدية وتم تقسيمهم إلى مجموعتين تضم كل مجموعة ( 6 ) لاعبين وتم توزيع اللاعبين على مجموعتين بطريقة القرعة استخدمت المجموعة الأولى ( المجموعة التجريبية ) التمرينات الخاصة المعد من قبل الباحث والمجموعة الثانية ( المجموعة الضابطة ) استخدمت المنهج التقليدي المعد من قبل المدرب .وتم استبعاد اللاعبين الذين نفذوا التجربة الإستطلاعية والبالغ عددهم ( 2 ) لاعبين, واستنتج بعد ذلك بظهور تطور في مستوى القدرات البدنية ( القوة الانفجارية للذراعين, القوة الانفجارية للرجلين , القوة المميزة بالسرعة للذراعين , القوة المميزة بالسرعة (البطن) ) لصالح المجموعة التجريبية .
Perception and Reliance of Local Communities in Conservation of Protected Areas
Authors: Dhakal Bhola Nath 
Published: February 2023

Conservation achievement is strongly inclined by perceptions of the impacts that are experienced by local communities. Perceptions provide an important means of assessing the performance of conservation plan so that better policies may be developed for effective biodiversity protection and the wellbeing of people living near protected areas. Local communities living adjacent to protected areas (PA) have played a vital role in biodiversity conservation. Understanding communities’ use and perceptions of a PA will increase its conservation effectiveness through reducing anthropogenic pressures and improving park-people relationship. The specific objective of the study was to explore the perceptions and reliance of local communities in conservation by different social groups and economic conditions on the basis of the current natural resource related needs in Bardia National Park (BNP) and its Buffer Zone (BZ). Data has been collected through a mixed-method approach, including qualitative semi-structured interviews and a household survey. This study confirmed that despite of the property loss and protected area management cost owed by local people, they are very much willing to contribute to biodiversity conservation, and in addition, their overall attitude towards various conservation statements is positive.
School Dropout of Dalit Students at Basic Level in Nepal
Authors: Mishra Jiwan Kumar 
Published: February 2023

This paper examines the situation of school dropout students at basic level in Nepal. The term dropout refers to a person who has abandoned a course of study. The focus of the analysis has covered one of the most privileged groups of Nepalese society in a community schools of Nepal, which is known as Dalit. In this paper the dropout refers to Dalit students who dropout of school before completing a course of instruction. . For this purpose, quantitative research design was applied to collect data. Both primary and secondary data were used and questionnaire method was applied to collect primary data. Secondary data were collected from the official records of schools. The finding shows that Dalit students are facing the dropout problem before completing basic level. The finding also indicates that Dalits are considered one of the disadvantaged group of Nepalese society as well as backwards in terms of socio-economic status and education. The caste and gender discrimination has also played a significant role to increase dropout of Dalit students. The government of Nepal has declared various lows, policies and program to increase students' participation and to ensure equal access in education of Dalit students. However, the rate of dropout Dalit students are higher than other groups of people. As a result, at the basic level continues to grow, yet its high dropout rates remain a pressing and complex problem in Dalit community.
A NewFramework for Analyzing and Mining Medical Data with aProposed Data Warehouse Model
Authors: AlJanabi Kadhim B. S. 
Published: February 2023

The work in this paper presents a proposed solution for preprocessing, analyzing, mining and data warehouse model for personal medical data collected from different hospitals and clinics. The proposed solution contains different phases and steps, including Extraction, Transforming and Loading (ETL) and data preprocessing focuses on converting the logged data into categories suitable for analysis and mining process, a star warehouse model was implemented that fulfills the required processing techniques, data are represented by multi-dimensional cubes for efficient and better data representation, and finally link analysis was applied on the data.
The proposed framework is simple and straight forward for implementation. Personal medical data from different sources mostly in Excel files were converted into clean, complete and consistent data by different preprocessing techniques. Logged data were converted into high quality, reliable and suitable for analysis and mining process. Star warehouse schema was implemented since it is very suitable for such type of data and mining techniques. 19900 patients records were collected and used in this work. Excel and WEKA software were used for the analysis and mining processes.
STRATEGI KOMUNIKASI DALAM IMPLEMENTASI PENDIDIKAN KARAKTER
Authors: Sari Rozaqiyah Puspita , Saragih Rasianna Br. , Yuliati  
Published: February 2023

Penelitian ini bertujuan untuk mengetahui bagaimana penerapan strategi komunikasi, hambatan dan dampak dari strategi komunikasi yang diterapkan guru SD SAB Mahira dalam mengimplementasikan pendidikan karakter kepada peserta didik. Penelitian ini menggunakan metode deskriptif. Dalam penelitian ini, peneliti mengumpulkan data melalui observasi partisipan pasif, wawancara mendalam dan dokumentasi. Hasil dari penelitian ini mengungkapkan bahwa SAB Mahira memiliki empat strategi dalam menanamkan pendidikan karakter kepada peserta didik, yaitu strategi quantum teaching, strategi komunikasi interaksi, strategi media pembelajaran dan strategi metode. Pada strategi komunikasi quantum teaching,suasana belajar dibuat menyenangkan. Siswa diajak mengalami secara langsung ilmu yang mereka pelajari. Pada strategi komunikasi interaksi, siswa dan guru memiliki kedudukan seimbang sebagai komunikan dan komunikator. SAB Mahira juga menggunakan alam sebagai media pembelajaran serta menggunakan metode hapalan, pembiasaan diri dan hukuman sebagai metode dalam menanamkan pendidikan karakter kepada siswa. Selain itu terdapat hambatan dalam menanamkan pendidikan karakter yang berasal dari internal, yaitu kefokusan siswa yang kurang, dan hambatan eksternal, yaitu pola asuh orang tua yang kurang singkron dengan guru di sekolah dikarenakan orang tua siswa sebagian besar merupakan orang tua yang sibuk. Berdasarkan hasil penelitian, strategi komunikasi yang digunakan SAB Mahira berdampak positif terhadap perkembangan prilaku siswa.
Kata Kunci : Strategi Komunikasi, Pendidikan Karakter, Sekolah Alam Bengkulu Mahira
Estimation of climate-induced increased risk of Centaurea solstitialis L. invasion in China: An integrated study based on biomod2
Authors: Jia Tao , Qi Yuhan , Zhao Haoxiang , Xian Xiaoqing , Li Jianyu , Huang Hongkun , Yu Wentao , Liu Wan-xue 
Published: February 2023

IntroductionInvasive alien plants (IAPs) are major hazards to biodiversity, human health, and the agricultural economy. As one of the most aggressive species of IAPs, the distribution area of Centaurea solstitialis L. has increased exponentially in the past two years since its invasion into Xinjiang, China, in July 2014. Predicting the potential geographic distributions (PGDs) of C. solstitialis in China can provide theoretical support for preventing the continued spread of this weed.MethodsIn this study, based on 5,969 valid occurrence records of C. solstitialis and 33 environmental variables, we constructed an ensemble model to predict suitable habitats for C. solstitialis under climate change scenarios.ResultsOur results showed that the mean true skill statistic (TSS) values, area under the receiver operating characteristic (ROC) curve (AUC), and Cohen’s Kappa (KAPPA) for the ensemble model were 0.954, 0.996, and 0.943, respectively. The ensemble model yielded more precise predictions than those of the single model. Temperature seasonality (Bio4), minimum temperature of the coldest month (Bio6), precipitation of the driest month (Bio14), and human influence index (HII) have significantly disrupted the PGDs of C. solstitialis in China. The total (high) suitability habitat area of C. solstitialis in China was 275.91 × 104 (67.78 × 104) km2, accounting for 71.26 (7.06)% of China. The PGDs of C. solstitialis in China under the current climate were mainly in East China (Shandong, Jiangsu, Shanghai, Zhejiang, and Anhui), Central China (Henan, southwestern Shanxi, southern Shaanxi, southern Gansu, Hubei, Hunan, Jiangxi, Chongqing, and Guizhou), and South China (southern Tibet, eastern Sichuan, Yunnan, Guangxi, Guangdong, Fujian, and Taiwan). Under future climate scenarios, the total suitability habitat area for C. solstitialis will expand, whereas the high suitability habitat area will decrease.DiscussionThe main manifestation is that the shift of southeast China into a moderate suitability habitat, and the total suitability habitats will be extended to northwest China. More focus needs to be placed on preventing further spread of C. solstitialis in northwest China.
Smoking is an independent but not a causal risk factor for moderate to severe psoriasis: A Mendelian randomization study of 105,912 individuals
Authors: Näslund-Koch Charlotte , Vedel-Krogh Signe , Bojesen Stig Egil , Skov Lone 
Published: February 2023

BackgroundSmoking is strongly associated with higher risk of psoriasis in several observational studies; however, whether this association is causal or can be explained by confounding or reverse causation is not fully understood. Randomized controlled trials are the gold standard when examining causality; however, when this method is not feasible, the Mendelian randomization design is an alternative. Herein genetic variants can be used as robust proxies for modifiable exposures and thereby avoiding confounding and reverse causation.In this study, we hypothesized that smoking is an independent and causal risk factor for psoriasis and tested this using a Mendelian randomization design.MethodsWe used data from the Copenhagen General Population Study including 105,912 individuals with full information on lifestyle factors, biochemistry, and genotype data. In total, 1,240 cases of moderate to severe psoriasis were included to investigate the association between smoking and psoriasis. To assess causality of the association, we used the genetic variant CHRNA3 rs1051730, where the T-allele is strongly associated with high lifelong cumulative smoking, as a proxy for smoking.ResultsIn observational analyses, the multivariable adjusted hazard ratio of developing moderate to severe psoriasis was 1.64 (95% confidence interval: 1.35-2.00) in ever smokers with ≤ 20 pack-years and 2.23 (1.82-2.73) in ever smokers with &gt; 20 pack-years compared to never smokers. In genetic analyses, the odds ratio of developing moderate to severe psoriasis was 1.05 (0.95-1.16) per CHRNA3 rs10511730 T-allele in ever smokers.ConclusionSmoking was an independent risk factor for moderate to severe psoriasis in observational analyses. However, using a genetic variant as a robust proxy for smoking, we did not find this association to be causal.
Derivation and validation of a composite scoring system (SAVED2) for prediction of unfavorable modified Rankin scale score following intracerebral hemorrhage
Authors: Coleman Craig I. , Concha Mauricio , Koch Bruce , Lovelace Belinda , Christoph Mary J. , Cohen Alexander T. 
Published: February 2023

ObjectiveTo develop a composite score for predicting functional outcome post–intracerebral hemorrhage (ICeH) using proxy measures that can be assessed retrospectively.MethodsData from the observational ERICH study were used to derive a composite score (SAVED2) to predict an unfavorable 90-day modified Rankin scale (mRS) score. Independent predictors of unfavorable mRS were identified via multivariable logistic regression and assigned score weights based on effect size. Area under the curve (AUC) was used to measure the score's discriminative ability. External validation was performed in the randomized ATACH-2 trial.ResultsThere were 2,449 patients from ERICH with valid mRS data who survived to hospital discharge. Predictors associated with unfavorable 90-day mRS score and their corresponding point values were: age ≥70 years (odds ratio [OR], 3.8; 1-point); prior stroke (OR, 2.8; 1-point); need for ventilation (OR, 2.7; 1-point); extended hospital stay (OR, 2.7; 1-point); and non-home discharge location (OR, 5.3; 2-points). Incidence of unfavorable 90-day mRS increased with higher SAVED2 scores (P &lt; 0.001); AUC in ERICH was 0.82 (95% CI, 0.80–0.84). External validation in ATACH-2 (n = 904) found an AUC of 0.74 (95% CI, 0.70–0.77).ConclusionsUsing data collected at hospital discharge, the SAVED2 score predicted unfavorable mRS in patients with ICeH.
Single-trial P300 classification algorithm based on centralized multi-person data fusion CNN
Authors: Du Pu , Li Penghai , Cheng Longlong , Li Xueqing , Su Jianxian 
Published: February 2023

IntroductionCurrently, it is still a challenge to detect single-trial P300 from electroencephalography (EEG) signals. In this paper, to address the typical problems faced by existing single-trial P300 classification, such as complex, time-consuming and low accuracy processes, a single-trial P300 classification algorithm based on multiplayer data fusion convolutional neural network (CNN) is proposed to construct a centralized collaborative brain-computer interfaces (cBCI) for fast and highly accurate classification of P300 EEG signals.MethodsIn this paper, two multi-person data fusion methods (parallel data fusion and serial data fusion) are used in the data pre-processing stage to fuse multi-person EEG information stimulated by the same task instructions, and then the fused data is fed as input to the CNN for classification. In building the CNN network for single-trial P300 classification, the Conv layer was first used to extract the features of single-trial P300, and then the Maxpooling layer was used to connect the Flatten layer for secondary feature extraction and dimensionality reduction, thereby simplifying the computation. Finally batch normalisation is used to train small batches of data in order to better generalize the network and speed up single-trial P300 signal classification.ResultsIn this paper, the above new algorithms were tested on the Kaggle dataset and the Brain-Computer Interface (BCI) Competition III dataset, and by analyzing the P300 waveform features and EEG topography and the four standard evaluation metrics, namely Accuracy, Precision, Recall and F1-score,it was demonstrated that the single-trial P300 classification algorithm after two multi-person data fusion CNNs significantly outperformed other classification algorithms.DiscussionThe results show that the single-trial P300 classification algorithm after two multi-person data fusion CNNs significantly outperformed the single-person model, and that the single-trial P300 classification algorithm with two multi-person data fusion CNNs involves smaller models, fewer training parameters, higher classification accuracy and improves the overall P300-cBCI classification rate and actual performance more effectively with a small amount of sample information compared to other algorithms.
Case report: PD-1 inhibitor-based treatment strategies in gastric cancer complicated by bone marrow metastasis and disseminated intravascular coagulation: A report of two cases
Authors: Huang Ren-Ze , Chen Nuo , Hu Yan , Hu Wan-Ming , Wang Feng-Hua , Chen Dong-Liang 
Published: February 2023

IntroductionGastric cancer (GC) complicated by bone marrow metastasis (BMM) and disseminated intravascular coagulation (DIC) represents poor prognosis and most of these patients would die in a few months. Active treatment strategies such as chemotherapy are effective in restoring coagulation function and prolonging patients’ survival time. Immunotherapy including programmed death protein 1 (PD-1) or programmed death protein ligand 1 (PD-L1) inhibitors has emerged as a first-line treatment of gastric cancer. However, the efficacy of PD-1 inhibitor-based treatment strategies in these patients remains unknown.Case descriptionHerein, we presented two cases of advanced gastric cancer (AGC) complicated by BMM and DIC, in which two patients received chemotherapy and PD-1 inhibitor as the first-line treatment. Both of them achieved a partial response after treatment, and the coagulation function was restored. The patient who discontinued the PD-1 inhibitor after 6 months experienced DIC relapse, whereas the other patient who maintained the PD-1 inhibitor treatment cycle remained responsive after 10 months.ConclusionsWe speculate that PD-1 inhibitor-based treatment strategies are effective and safe in prolonging survival against gastric cancer with BMM and DIC, and the coagulation function is well controlled by the treatment with a combination of immunotherapy and chemotherapy.