bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evolution of water environment construction and urban landscape ecological risk based on land cover change analysis
Authors: Gong Xujie , Chen Liangming , Tan Shun 
Published: March 2022

Abstract
Mining minerals plays a fundamental role in promoting social-economic progress. Intensive mining operations. However, it also brings huge ecological risks, and may lead to significant changes in land use/land cover (LULC), further affecting the urban landscape and ecological environment. Based on changes in LULC from 2000 to 2020 in the Jiawang district, a resource-based city, this study uses an ecological risk assessment as the theoretical basis for evaluating regional landscape ecological risk. The results show that: (1) From 2000 to 2020 significant changes in LULC were the increase the areas of built-up land and those covered with water, and decreases occurred in the cultivated, industrial, and mining land areas. The conversion of industrial and mining lands to areas of water is a noteworthy ecological compensation area. (2) Over the past two decades, the average ecological risk in the study area was 0.19, 0.21, and 0.14, in 2000, 2010 and 2020, respectively, first increasing and then decreasing. The area ratio of the lowest-risk ecological risk areas dropped from 31.60% to 4.00%. (3) The global Moran's I values in 2000, 2010, and 2020 were 0.6047, 0.6280, and 0.6392, respectively. The positive values indicate that the autocorrelation and spatial aggregation of ecological risks in Jiawang district gradually increased. This study can provide a basis for other resource-based cities to rationally allocate land resources and manage urban ecological risks.
Medicinal Plants in Cancer Treatment: Contribution of Nuclear Factor- Kappa B (NF-kB) Inhibitors
Authors: Das Rina , Mehta Dinesh Kumar , Dhanawat Meenakshi 
Published: March 2022

Abstract:Nuclear factor-kappa B (NF-κB) is one of the principal inducible proteins and a predominant transcription factor that is known to control gene expression in mammals. It plays a pivotal role in regulating cell signalling in the body under certain physiological and pathological conditions. In cancer cells, such as colon, breast, pancreatic, ovarian, melanoma, and lymphoma, the NF-κB pathway is active. In cellular proliferation, promoting angiogenesis, invasion, metastasis of tumour cells, and blocking apoptosis, the constitutive activity of NF-κB signalling has been reported. Therefore, immense attention has been given to developing drugs targeting NF-κB signalling pathways to treat many types of tumours. They are a desirable therapeutic target for drugs, and many studies have concentrated on recognizing compounds. They may be able to reverse or standstill the growth and spread of tumours that selectively interfere with this pathway. Recently, numerous substances derived from plants have been evaluated as possible inhibitors of the NF-κB pathway. These include various compounds, such as flavonoids, lignans, diterpenes, sesquiterpenes, polyphenols, etc. A study supported by folk medicine demonstrated that plant-derived compounds could suppress NF-κB signalling. Considering this, the present review revealed the anticancer potential of naturally occurring compounds that inhibit the NF-κB signalling and suppress the growth and spread of cancer.
Community-based Interventions to Reduce Fat Intake in Healthy
Populations: A Systematic Review and Meta-Analysis
Authors: Nikniaz Zeinab , Nikniaz Leila , Tabrizi Jafar Sadegh , Farhangi Mahdieh Abbasalizad , Pourmoradian Samira , Allameh Motahareh , Hoseinifard Hosein , Tahmasebi Sanaz 
Published: March 2022

Background:
Reducing fat intake is a major focus of most dietary recommendations
aiming to prevent chronic diseases. Thus, this study aimed to summarize community-based interventions
for reducing fat consumption among healthy people.

Methods:
According to PRISMA guidelines, in this systematic review and meta-analysis, databases
including PubMed/MEDLINE, Scopus, EMBASE, Cochrane Library, Web of Science,
ProQuest, and Google Scholar were searched up to January 2021. Randomized clinical trials
(RCTs) or quasi-experimental studies reporting the effect of community-based interventions to
reduce fat intake in healthy populations were included. The quality of studies was assessed using
the Cochrane Collaboration tool and The Joanna Briggs Institute Critical Appraisal Checklist.
Meta-analysis was performed using CMA2 software.

Results:
Our search strategy resulted in a total of 1,621 articles, 43 of which were included in the
study after screening. Of the 43 included studies, 35 studies reported a significant decrease in fat
intake using educational and multiple intervention methods. About 82 % of studies using the
technology were effective in reducing fat intake. Moreover, studies specifically designed to
change fat intake were more effective than multicomponent interventions. The meta-analysis of
high-quality studies showed that the differences in total fat (-0.262 g/d) and saturated fat (-0.350
g/d) intake between the intervention and control groups were statistically significant (P <0.05).

Conclusion:
Based on the high-quality studies, educational and multiple interventions are suggested
in the community settings to decrease fat intake. In addition, long-term and high frequency
interventions focusing on reducing fat intake are desirable.
The Application of Nanotechnology in Immunotherapy based Combinations
for Cancer Treatment
Authors: Li Hongxia , Fu Qiuxia , Muluh Tobias Achu , Shinge Shafiu A. Umar , Fu Shaozhi , Wu JingBo 
Published: March 2022

Abstract:
There has been a great amount of advancement in the early field of nano-immunotherapy and combination therapy. Persistent consideration regarding the clinical challenges and therapeutic hindrance should be tended to achieve therapeutic efficacy and potential. In this review, we will ad-dress how nanotechnology could defeat the difficulties resulting from cancer immunotherapy, how nanoparticles’ utilization can enhance the efficacy of immune checkpoint blockers, and reconstituting the tumor microenvironment can promote antitumor responses. Moreover, this review discusses how nanoparticles mediate therapeutic modalities like chemotherapy, photodynamic therapy, photother-mal therapy, and radiotherapy, which are used to target and destroy cancerous cells, initiate the release of tumor antigens, and can trigger anti-tumor immunity reactions. Furthermore, we analyzed the po-tential benefits of immunotherapy combinatorial using the nanoparticle delivery system to prevent tumor recurrence, hinder metastases, and decrease systemic toxicity of major organs and healthy cells common with uncontrolled targeting.
The Inflammatory Effect of Epigenetic Factors and Modifications in
Depressive Disorder: A Review
Authors: Qi Keming , Yu Yi , Guan Jiangli , Zhang Jiayuan , Lu Wei , Wei Yicong 
Published: March 2022

Background:
Depressive disorder is one of the most common mental diseases and has
become one of the three major causes of disability worldwide. Although some of the pathological
mechanisms have been analyzed, the corresponding drug therapy has only achieved about 30% of
curative effects. However, the pathological mechanism of depression is very complex, and the
relationship between its complicated pathological mechanisms is still elusive. In recent years,
more and more evidence shows that environmental stress induces stable changes in gene expression
through the epigenetic mechanism which plays a vital role in the pathogenesis of the disease.
Neuroinflammation is considered to be a key pathological mechanism of depression.

Objective:
The aim of the study was to explore the relationship between epigenetic mechanism
and neuroinflammation in the pathological process of depression.

Methods:
In this paper, we review the crucial role of neuroinflammation in complex pathological
mechanisms, especially its complex interrelationship with neurotransmitters, neuroendocrine,
neurogenesis, and neuronal plasticity, which play a key role in the pathology of depression.

Results:
The relationship between epigenetic mechanism and neuroinflammation in the pathological
process of depression has been discussed, which mainly involves histone acetylation, histone
methylation, DNA methylation, and non-coding RNA association.

Conclusion:
This review will help to understand the role of epigenetic mechanisms in depression
and its related inflammatory responses and provide direction and guidance for future research.
Weight Loss Trajectories in Healthy Weight Coaching: Cohort Study
Authors: Kupila Sakris K E , Venäläinen Mikko S , Suojanen Laura-Unnukka , Rosengård-Bärlund Milla , Ahola Aila J , Elo Laura L , Pietiläinen Kirsi H 
Published: March 2022

Background
As global obesity prevalence continues to increase, there is a need for accessible and affordable weight management interventions, such as web-based programs.

Objective
This paper aims to assess the outcomes of healthy weight coaching (HWC), a web-based obesity management program integrated into standard Finnish clinical care.

Methods
HWC is an ongoing, structured digital 12-month program based on acceptance and commitment therapy. It includes weekly training sessions focused on lifestyle, general health, and psychological factors. Participants received remote one-on-one support from a personal coach. In this real-life, single-arm, prospective cohort study, we examined the total weight loss, weight loss profiles, and variables associated with weight loss success and program retention in 1189 adults (963 women) with a BMI >25 kg/m² among participants of the program between October 2016 and March 2019. Absolute (kg) and relative (%) weight loss from the baseline were the primary outcomes. We also examined the weight loss profiles, clustered based on the dynamic time-warping distance, and the possible variables associated with greater weight loss success and program retention. We compared different groups using the Mann-Whitney test or Kruskal-Wallis test for continuous variables and the chi-squared test for categorical variables. We analyzed changes in medication using the McNemar test.

Results
Among those having reached the 12-month time point (n=173), the mean weight loss was 4.6% (SE 0.5%), with 43% (n=75) achieving clinically relevant weight loss (≥5%). Baseline BMI ≥40 kg/m² was associated with a greater weight loss than a lower BMI (mean 6.6%, SE 0.9%, vs mean 3.2%, SE 0.6%; P=.02). In addition, more frequent weight reporting was associated with greater weight loss. No significant differences in weight loss were observed according to sex, age, baseline disease, or medication use. The total dropout rate was 29.1%. Dropouts were slightly younger than continuers (47.2, SE 0.6 years vs 49.2, SE 0.4 years; P=.01) and reported their weight less frequently (3.0, SE 0.1 entries per month vs 3.3, SE 0.1 entries per month; P<.001).

Conclusions
A comprehensive web-based program such as HWC is a potential addition to the repertoire of obesity management in a clinical setting. Heavier patients lost more weight, but weight loss success was otherwise independent of baseline characteristics.
Comparison Non-Parametric Machine Learning Algorithms for Prediction of Employee Talent
Authors: Wirayasa I Ketut Adi , Djajadi Arko , Santoso H Andri , Indrajit Eko 
Published: March 2022

Classification of ordinal data is part of categorical data. Ordinal data consists of features with values based on order or ranking. The use of machine learning methods in Human Resources Management is intended to support decision-making based on objective data analysis, and not on subjective aspects. The purpose of this study is to analyze the relationship between features, and whether the features used as objective factors can classify, and predict certain talented employees or not. This study uses a public dataset provided by IBM analytics. Analysis of the dataset using statistical tests, and confirmatory factor analysis validity tests, intended to determine the relationship or correlation between features in formulating hypothesis testing before building a model by using a comparison of four algorithms, namely Support Vector Machine, K-Nearest Neighbor, Decision Tree, and Artificial Neural Networks. The test results are expressed in the Confusion Matrix, and report classification of each model. The best evaluation is produced by the SVM algorithm with the same Accuracy, Precision, and Recall values, which are 94.00%, Sensitivity 93.28%, False Positive rate 4.62%, False Negative rate 6.72%, and AUC-ROC curve value 0.97 with an excellent category in performing classification of the employee talent prediction model.
PERSONAL AND SPATIAL DEIXIS ON THE SONG LYRICS OF “SUNDAY BEST” BY SURFACES
Authors: Aurelia Ananda Winda , Suprijadi Dasep , Husnussalam Hendra 
Published: March 2022

This study aimed to find out the use of personal and spatial deixis on the song lyrics of “Sunday Best” by Surfaces, and also to describe the meaning of this song. This study used the qualitative method. The writer used document analysis as the instrument of this study, while the data collection techniques that have been conducted listened to that music, collecting that song lyrics script on the internet, then analyzing the use of personal and spatial deixis on that song. The results of this study showed that personal deixis became the dominant type of spatial deixis. There are 30 data of personal deixis consisting of first, second, and third person deixis. Meanwhile, the writer only found 6 data of spatial deixis. The meaning has been found after the writer listened to this song and analyzed it using personal and spatial deixis. The writer notes that by using personal and spatial deixis it will make easily to catch the reference meaning that include who, where and why the utterance is uttered. Keywords: Pragmatics, Deixis, Song Lyrics
THE USE OF SONG IN LEARNING PRONUNCIATION
Authors: Anggraini Ira , Bhuana Gartika Pandu 
Published: March 2022

This study aims to determine students' perceptions in learning pronunciation through songs. This was a qualitative research method. The participants of this study were 16 tenth grade students from a the vocational schools in Cimahi. Data were collected through questionnaire. The results showed that the students had a good opinion about the use of songs. They thought that it offered a different learning atmosphere, in which it was more relaxed and enjoyable. Besides, it could improve their pronunciation. This indicates that the teacher can use song in teaching pronunciation. Keywords: Pronunciation, Song
EXPLORING STUDENTS’ DIFFICULTIES IN READING USING QUESTION AND ANSWER RELATIONSHIP
Authors: Fauzi Miftah , Apsari Yanuarti 
Published: March 2022

The aim of the research is to identify students' difficulties in reading using Question-Answer Relationship. The researchers employed descriptive qualitative research. The participants of the research were seventh-grade students of SMPN 2 Parongpong. To collect data for this study, questionnaire and test were used as the instruments of this research. Then, the data were analyzed qualitatively. The data of the research showed that the students faced several difficulties in reading deal with lack of vocabulary, difficulty in determining main ideas and finding specific information. Keywords: Sudents’ Difficulties, Question Answer Relationship, Reading
CORRELATION BETWEEN STUDENTS WRITING ABILITY AND LEARNING MOTIVATION IN GOOGLE TRANSLATE WRITING CLASS
Authors: Arfiana Arfiana , Sabarun Sabarun , Widiastuty Hesty 
Published: March 2022

This study was from the real phenomenon which showed that students were using google translate as media to improve their writing ability and learning motivation. The main problem was students’ lack of vocabulary and they wanted fast and instant translation. As a result, they preferred using google translate than doing their writing ability. The purpose of this research is to measure the correlation between students’ writing ability and learning motivation in google translate writing class of 2nd semester English education study program at IAIN Palangka Raya. This research was a correlational study using quantitative research method. Learning Motivation Questionnaire and Descriptive Text Writing Test were distributed to take the data from 58 student from 2nd semester in academic year 2020/2021 who took paragraph writing class. The sample was obtained through the use of the cluster random sampling technique. The result finding showed the calculation students’ writing ability and learning motivation was rvalue = 0.617 ≥ rtable = 0.258 and tvalue = 5.867118 ≥ ttable = 1.67252), it meant that Ha accepted and Ho rejected. In this case students’ writing ability had high relationship or gave influence to learning motivation in google translate class. Keywords: Correlation, Writing Ability, Learning Motivation, Google Translate
Are Referred-To Auditors Associated with Lower Audit Quality and Efficiency?
Authors: Krishnan Jayanthi , Li Mengtian 
Published: March 2022

SUMMARY
Inadequate supervision by lead auditors of “other” (component) auditors contributing to audit engagements has been a recent regulatory concern. However, uniquely in the United States, the lead auditor is required to conduct only minimal supervision of the other auditor and refer to the other auditor in its audit report, when it divides responsibility with the latter. Our sample of “referred-to” (RT) firm-years is divided, about equally, between audits of consolidated subsidiaries and equity-method investees. We document two findings. First, supervision challenges drive the use of RT auditors for consolidated subsidiaries while the component’s materiality drives the use of RT auditors in both settings. Second, there is some evidence that RT auditors in both settings are associated with lower audit quality and efficiency compared with control samples, and this negative effect is stronger for consolidated subsidiaries. Our research is relevant to the Public Company Accounting Oversight Board’s proposed changes in auditing standards for other auditors.
Varying Impact of Gestational Diabetes Mellitus on Incidence of Childhood Cancers: An Age-Stratified Retrospective Cohort Study
Authors: Marcoux Sophie , Côté-Corriveau Gabriel , Healy-Profitós Jessica , Auger Nathalie 
Published: March 2022

OBJECTIVE
We studied the association between gestational diabetes mellitus and early versus late childhood cancer.

RESEARCH DESIGN AND METHODS
We conducted a retrospective cohort study of 1 million children born between 2006 and 2019 in Quebec, Canada. We identified children who were exposed to gestational diabetes mellitus in utero and followed them from birth up to 14 years of age to identify new-onset cancers. We estimated hazard ratios (HRs) for the association between gestational diabetes mellitus and childhood cancer using Cox proportional regression models with adjustment for covariates through inverse propensity score weights.

RESULTS
A total of 83,626 children (8.2%) were exposed to gestational diabetes mellitus, and 1,702 developed cancer during 7.6 million person-years of follow-up. Children exposed to gestational diabetes mellitus had a higher risk of any cancer (HR 1.19, 95% CI 1.01–1.40), with signals present for blood cancer (HR 1.27, 95% CI 0.92–1.76) and solid tumors (HR 1.14, 95% CI 0.94–1.40). The association between gestational diabetes mellitus and cancer was strongest early in life and decreased with age. Gestational diabetes mellitus was associated with 1.47 times the risk of any cancer (95% CI 1.21–1.79), 1.44 times the risk of solid cancer (95% CI 1.12–1.87), and 1.61 times the risk of blood cancer (95% CI 1.09–2.36) in children age &lt;2 years. Gestational diabetes mellitus was not significantly associated with blood or solid cancers after 2 years of age, and all associations disappeared after 6 years.

CONCLUSIONS
Hyperglycemia may be carcinogenic in utero and may be a novel risk factor for early childhood cancer.
Acquisition of Self-Care Responsibility in Youth With Type 1 Diabetes: Opportunities for Improving Tailored Diabetes Education and Support Programs
Authors: La Banca Rebecca Ortiz , Volkening Lisa K. , Laffel Lori M. 
Published: March 2022

Background
There is gradual acquisition of type 1 diabetes self-care responsibility across childhood as youth mature and gain more independence from their family. Understanding the timing of diabetes self-care by youth can guide the tailoring of diabetes education and support programs.

Objective
To investigate parent-perceived responsibility for diabetes self-care tasks across childhood.

Methods
Parents/guardians of youth (ages 5–18 years) with type 1 diabetes reported parent involvement in diabetes management using the Diabetes Family Responsibility Questionnaire. Survey items were divided items into five domains: nutrition, monitoring, insulin dosing, communication, and health surveillance. Age-groups for analyses were 5–10 years (elementary school), 11–14 years (early adolescence), and 15–18 years (late adolescence). Demographic, diabetes management, and A1C data were collected at the time of survey completion.

Results
Youth (n = 148, 50% male) were a mean age of 12.9 ± 3.3 years, with a mean type 1 diabetes duration of 6.2 ± 3.6 years; 66% used insulin pump therapy, and the mean A1C was 8.4 ± 1.3%. Of the parents (84% mothers, 91% White), 83% were married, and 52% were college educated. Per parent report, less parental involvement was associated with older youth age (P &lt;0.001). Across all age-groups, more overall parental involvement was related to lower A1C (P = 0.02). Youth self-care in the nutrition domain began in elementary school, whereas self-care in monitoring and insulin dosing began in early adolescence, and self-care with regard to communication started in late adolescence. Responsibility for health surveillance remained mainly under parent care throughout childhood and adolescence.

Conclusion
Providing education and support for youth during their acquisition of self-care tasks, especially those relating to nutrition, monitoring, and insulin dosing, may help to prevent glycemic deterioration later in childhood and adolescence.
Mengembangkan Kemampuan Berpikir Asli Melalui Pembelajaran generative dengan Pendekatan Open-Ended
Authors: Haji Saleh , . Yumiati 
Published: March 2022

Abstract
This articel explain the result of how to expand thinking indigenously ability as an element of thinking creatively in math learning to junior high school through Generative Learning with Open-Ended Approach (PGPOE). The experiment used quasi experiment with SMP Negeri 17 Pamulang as the subject and formed experimental class and control class. It can be analyzed quantitatively using t-test. The result showed there were significant differences (p-value less than 5%) between the student who were taught with PGPOE and the student who were taught with common learning at thinking indigenously ability. It showed that the student’s thinking indigenously ability who were taught with PGPOE is much better than the student who were taught with common learning.
Keywords: Generatif Learning, Open-Ended Approach, Thinking Indigenously.

Abstrak.
Artikel ini memaparkan hasil penelitian tentang bagaimana mengembangkan kemampuan berpikir asli sebagai salah satu unsur dalam berpikir kreatif pada pelajaran matematika SMP melalui Pembelajaran Generatif dengan Pendekatan Open-Ended (PGPOE). Penelitian menggunakan kuasi eksperimen dengan subjek SMP Negeri 17 Pamulang, serta membentuk kelas eksperimen dan kelas kontrol. Data dianalisis secara kuantitatif dengan menggunakan uji-t. Hasil penelitian menunjukkan bahwa terdapat perbedaan yang signifikan (p-value kurang dari 5%) antara siswa yang diajar melalui PGPOE dengan siswa yang diajar dengan pembelajaran biasa pada kemampuan berpikir asli, dan menunjukkan kemampuan berpikir asli siswa yang diajar melalui PGPOE lebih baik dari pada siswa yang diajar dengan pembelajaran biasa.
Kata Kunci: Berpikir Asli, Open-Ended, Pembelajaran Generatif.