bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimasi populasi orangutan Kalimantan (Pongo pygmaeus Wurmbii) berdasarkan sarang di kawasan konsesi PT Alam Sukses Lestari Kalimantan Tengah
Authors: Lopa Nazar Nauval Barra , Yuslinawari Yuslinawari , Rawana Rawana , Kurniawan Muhamad 
Published: September 2024

Orangutan kalimantan (Pongo pygmaeus) terbagi menjadi 3 subspesies diantaranya Pongo pygmaeus wurmbii, yang berada di Kalimantan Tengah. Keberadaan orangutan di habitatnya berperan penting bagi pengelolaan hutan lestari berkelanjutan, orangutan memiliki peran keterlibatan dengan konservasi perlindungan spesies lain dan menjaga keseimbangan ekosistem. Penelitian ini bertujuan mengetahui kelimpahan sarang P. pygmaeus wurmbii, mengetahui kepadatan sarang, dan menaksir estimasi jumlah individu dari populasi P. pymaeus wurmbii, berdasarkan temuan sarang di kawasan konsesi PT Alam Sukses Lestari, Barito Timur, Kalimantan Tengah. Dalam penelitian ini menggunakan metode transek garis (line transect). Terdapat 41 sarang orangutan yang ditemukan. Tinggi pohon sarang, tinggi sarang, diameter pohon setinggi dada, kelas sarang, posisi sarang, jumlah sarang yang ditemukan, panjang jalur transek, jarak sarang ke jalur, koordinat sarang, dan jenis pohon sarang merupakan parameter yang diamati. Hasil rata – rata tinggi pohon sarang seluruh transek adalah 10,9 meter, dengan rata – rata tinggi sarang 7,5 meter, dan diameter rata – rata sekitar 16,5 meter. Sarang kelas C dan D adalah kelas sarang yang ditemukan dalam penelitian ini, dan sarang posisi 1 menjadi dominan ditemukan. Pohon bersarang orangutan terdiri dari 15 jenis pohon yang didominasi oleh jenis bintangor dari famili Calophyllacae sebagai pohon tempat bersarang orangutan. Lokasi penelitian ini berada di kawasan konsesi PT Alam Sukses Lestari, Barito timur, Kalimantan Tengah seluas 19.060 ha. Panjang total garis transek dari 8 jalur line transect adalah 5.686 km. Populasi kepadatan orangutan di PT Alam Sukses Lestari didapat 0,3 Individu/km² atau 1 individu memerlukan 2,936 km², dengan jumlah estimasi populasi 65 individu berdasarkan perhitungan sarang yang ditemukan.
Menggenggam bola karet dan terapi cermin terhadap kekuatan otot ekstremitas pasien stroke: Tinjauan literatur
Authors: Putro Dimas Utomo Hanggoro , Haryati Tati , Setiawan Arifin , Wibowo Arif Apriyanto , Sucipto Muhamad Bayu , Fesanrey Rian Andito , Sugandi Veri 
Published: September 2024

Background: Stroke is a cardiocerebrovascular disease that has broad economic and social impacts. One of the impacts of stroke patients is hemiparesis, so efforts are needed to increase muscle strength in stroke patients. Grasping a rubber ball and mirror therapy are alternatives that can be utilized by stroke patients.
Purpose: To find specifically about rubber ball grasping therapy and mirror therapy to increase muscle strength in stroke patients
Method: Literature review of national and international literature using google scholar, PubMed, and Science Direct databases
Results: Thirty-two articles met the inclusion criteria. Twenty-four articles are case studies, 4 articles are quasi-experiments, 2 articles are pre-experiments, 2 articles are RCT. Rubber ball grasping therapy and mirror therapy can be used as effective stimulants to increase upper extremity muscle strength in stroke patients.
Conclusion: This literature review provides evidence that rubber ball grasping therapy and mirror therapy can increase muscle strength in stroke patients.
Suggestion: Nurses can provide interventions in the form of rubber ball grasping therapy and mirror therapy to stroke patients to increase upper extremity muscle strength.

Keywords: Grasping a Rubber Ball; Mirror Therapy; Muscle Strength; Stroke.

Pendahuluan: Stroke adalah penyakit kardioserebrovaskular yang memiliki dampak luas secara ekonomi dan sosial. Salah satu dampak dari pasien stroke adalah hemiparesis, maka perlu upaya untuk meningkatkan kekuatan otot pada pasien stroke. Menggenggam bola karet dan terapi cermin merupakan salah satu alternatif yang dapat dimanfaatkan oleh pasien stroke.
Tujuan: Untuk mengetahui secara spesifik terapi menggenggam bola karet dan terapi cermin untuk meningkatkan kekuatan otot pasien stroke.
Metode: Literature review dari literatur nasional dan internasional menggunakan database Google Scholar, PubMed, dan Science Direct.
Hasil: Sebanyak 32 artikel memenuhi kriteria inklusi. Sebanyak 24 artikel merupakan studi kasus, 4 artikel quasi eksperimen, 2 artikel pra-eksperimen, dan 2 artikel merupakan RCT. Terapi menggenggam bola karet dan terapi cermin dapat digunakan sebagai stimulant yang efektif meningkatkan kekuatan otot ekstremitas atas pada pasien stroke.
Simpulan: Tinjauan literatur ini memberikan bukti bahwa, terapi menggenggam bola karet dan terapi cermin dapat meningkatkan kekuatan otot pada pasien stroke.
Saran: Perawat dapat memberikan intervensi berupa terapi menggenggam bola karet dan terapi cermin kepada pasien stroke untuk meningkatkan kekuatan otot ekstremitas atas.

Kata Kunci: Kekuatan Otot; Menggenggam Bola Karet; Stroke; Terapi Cermin.
Penanganan stunting melalui peningkatan pengetahuan dan sikap masyarakat terhadap sanitasi lingkungan
Authors: Abu Nur , Yasin Azalia Fajri , Ayuningtias Annisa 
Published: September 2024

Background: National stunting prevalence fell by 3.3% from 27.7% in 2019 to 24.4% in 2021. However, the reduction in stunting in the Papua and West Papua regions increased from 2019 to 2021 by 29.4%. Based on the Indonesian Nutrition Status Survey (SSGI), the city of Sorong experienced an increase of 27.2% from 2021-2022.
Purpose: To know of the influence of knowledge, attitudes and environmental sanitation on the incidence of stunting.
Method: Quantitative design research, the sample was randomly selected from the local community as many as 85 respondents. The variables in this research are knowledge, attitudes and environmental sanitation. Bivariate analysis uses the chi-square test to see the influence and relationship between knowledge, attitudes and environmental sanitation.
Results: A p-value of 0.005 indicates a relationship between attitudes towards stunting and environmental sanitation. The p-value of 0.190 shows that there is no dominant relationship between knowledge of stunting and environmental sanitation. Furthermore, the p-value of 0.027 shows that there is a relationship between knowledge and attitudes towards stunting.
Conclusion: Knowledge and attitudes have a dominant influence on the incidence of stunting compared to environmental sanitation.

Keywords: Attitude; Knowledge; Sanitation; Stunting.

Pendahuluan: Prevalensi stunting secara nasional turun sebanyak 3.3% dari 27.7% tahun 2019 menjadi 24.4% pada tahun 2021. Namun penurunan stunting di wilayah Papua dan Papua Barat mengalami peningkatan dari tahun 2019 sampai 2021 sebesar 29.4%. Berdasarkan Survei Status Gizi Indonesia (SSGI), kota Sorong mengalami peningkatan sebesar 27.2% dari tahun 2021-2022.
Tujuan: Untuk mengetahui pengaruh pengetahuan, sikap, dan sanitasi lingkungan terhadap kejadian stunting.
Metode: Desain penelitian kuantitatif, sampel dipilih secara acak kepada masyarakat setempat sebanyak 85 responden. Variabel pada penelitian ini adalah pengetahuan, sikap, dan sanitasi lingkungan. Analisis bivariat menggunakan uji chi-square untuk melihat pengaruh dan hubungan antara pengetahuan, sikap, dan sanitasi lingkungan.
Hasil: P-value sebesar 0.005 menunjukkan adanya hubungan antara sikap terhadap stunting dan sanitasi lingkungan. Hasil p-value sebesar 0.190 menunjukkan tidak ada hubungan yang dominan antara pengetahuan terhadap stunting dan sanitasi lingkungan. Selanjutnya hasil p-value sebesar 0.027 menunjukkan ada hubungan antara pengetahuan dan sikap terhadap stunting.
Simpulan: Pengetahuan dan sikap mempunyai pengaruh yang dominan terhadap kejadian stunting dibandingkan dengan sanitasi lingkungan.

Kata Kunci: Pengetahuan; Sanitasi; Sikap; Stunting.
Effectiveness of mobile-phone short message service (SMS) reminders for adherence to anti-tuberculosis treatment among pulmonary tuberculosis patients: A systematic review
Authors: Kurnianingsih Neniek , Yona Sri , Waluyo Agung 
Published: September 2024

Background: Tuberculosis (TB) is an infectious disease caused by bacteria Mycobacterium tuberculosis. TB treatment takes a long time, namely 6-9 months, so patient compliance in undergoing treatment is an important factor for the success of treatment. Several factors that can influence TB patient compliance include: drug side effects, distance from home to health facilities, and economic constraints. Use of information technology, such as short message service (SMS), can be an alternative to increase TB patient compliance. SMS is a communication technology that is affordable and easy to use, so it can be used by TB patients from various socio-economic backgrounds.
Purpose: Systematic review this is intended to assess the influence of use SMS reminder on treatment compliance in pulmonary TB patients.
Method: The method used is a systematic review. The source used comes from PubMed, ProQuest, Science Direct, Scopus, and Embase published from 2013 to 2023. The keywords in the search are Short Message Service (SMS) reminder AND Medication Adherence AND Pulmonary Tuberculosis Patient.
Results: There are ten articles showing the effectiveness of use SMS reminder on treatment compliance of pulmonary TB patients.
Conclusion: Usage SMS reminder can increase treatment compliance in pulmonary TB patients, as can be seen from research results that show increased treatment compliance rates, reduced drug dropout rates, and improved TB treatment outcomes. Therefore, SMS reminder can be an alternative that can be considered in the TB control program in Indonesia.
Distinct characteristics of BTLA/HVEM axis expression on Tregs and its impact on the expansion and attributes of Tregs in patients with active pulmonary tuberculosis
Authors: Tang Peijun , Shen Xinghua , Gao Jianling , Zhang Jianping , Feng Yanjun , Zhang Ji , Huang Ziyi , Wang Xuefeng 
Published: September 2024

IntroductionPulmonary tuberculosis (PTB) remains one of the deadliest infectious diseases. Understanding PTB immunity is of potential value for exploring immunotherapy for treating chemotherapy-resistant PTB. CD4+CD25+Foxp3+ regulatory T cells (Tregs) are key players that impair immune responses to Mycobacteria tuberculosis (MTB). Currently, the intrinsic factors governing Treg expansion and influencing the immunosuppressive attributes of Tregs in PTB patients are far from clear.MethodsHere, we employed flow cytometry to determine the frequency of Tregs and the expression of B and T lymphocyte attenuator (BTLA) and its ligand, herpesvirus entry mediator (HVEM), on Tregs in patients with active PTB. Furthermore, the expression of conventional T cells and of programmed death-ligand 1 (PD-L1) and programmed death-1 (PD-1) on Tregs in patients with active PTB was determined. We then examined the characteristics of BTLA/HVEM expression and its correlation with Treg frequency and PD-L1 and PD-1 expression on Tregs in PTB patients.ResultsThe frequency of Tregs was increased in PTB patients and it had a relevance to PTB progression. Intriguingly, the axis of cosignal molecules, BTLA and HVEM, were both downregulated on the Tregs of PTB patients compared with healthy controls (HCs), which was the opposite of their upregulation on conventional T cells. Unexpectedly, their expression levels were positively correlated with the frequency of Tregs, respectively. These seemingly contradictory results may be interpreted as follows: the downregulation of BTLA and HVEM may alleviate BTLA/HVEM cis-interaction-mediated coinhibitory signals pressing on naïve Tregs, helping their activation, while the BTLA/HVEM axis on effector Tregs induces a costimulatory signal, promoting their expansion. Certainly, the mechanism underlying such complex effects remains to be explored. Additionally, PD-L1 and PD-1, regarded as two of the markers characterizing the immunosuppressive attributes and differentiation potential of Tregs, were upregulated on the Tregs of PTB patients. Further analysis revealed that the expression levels of BTLA and HVEM were positively correlated with the frequency of PD-1+Tregs and PD-L1+Tregs, respectively.ConclusionOur study illuminated distinct characteristics of BTLA/HVEM axis expression on Tregs and uncovered its impact on the expansion and attributes of Tregs in patients with active PTB. Therefore, blockade of the BTLA/HVEM axis may be a promising potential pathway to reduce Treg expansion for the improvement of anti-MTB immune responses.
Making the most of big qualitative datasets: a living systematic review of analysis methods
Authors: Chandrasekar Abinaya , Clark Sigrún Eyrúnardóttir , Martin Sam , Vanderslott Samantha , Flores Elaine C. , Aceituno David , Barnett Phoebe , Vindrola-Padros Cecilia , Vera San Juan Norha 
Published: September 2024

IntroductionQualitative data provides deep insights into an individual's behaviors and beliefs, and the contextual factors that may shape these. Big qualitative data analysis is an emerging field that aims to identify trends and patterns in large qualitative datasets. The purpose of this review was to identify the methods used to analyse large bodies of qualitative data, their cited strengths and limitations and comparisons between manual and digital analysis approaches.MethodsA multifaceted approach has been taken to develop the review relying on academic, gray and media-based literature, using approaches such as iterative analysis, frequency analysis, text network analysis and team discussion.ResultsThe review identified 520 articles that detailed analysis approaches of big qualitative data. From these publications a diverse range of methods and software used for analysis were identified, with thematic analysis and basic software being most common. Studies were most commonly conducted in high-income countries, and the most common data sources were open-ended survey responses, interview transcripts, and first-person narratives.DiscussionWe identified an emerging trend to expand the sources of qualitative data (e.g., using social media data, images, or videos), and develop new methods and software for analysis. As the qualitative analysis field may continue to change, it will be necessary to conduct further research to compare the utility of different big qualitative analysis methods and to develop standardized guidelines to raise awareness and support researchers in the use of more novel approaches for big qualitative analysis.Systematic review registrationhttps://osf.io/hbvsy/?view_only=.
Evolution of agricultural carbon emission research in China: a historical analysis and emerging trends
Authors: Chen Ziying , Liu Na 
Published: September 2024

Agricultural activities constitute the second-largest contributor to greenhouse gas emissions. Proactively mitigating agricultural carbon emissions is crucial for safeguarding the ecological en-vironment, improving agricultural productivity, and fostering long-term ecological sustainability. This paper employs bibliometric analysis to examine the research status, hot topics, and devel-opment trends of agricultural carbon emissions in China over the past 2 decades. Based on Citespace software, the study primarily conducts visual analysis on 660 academic articles on ag-ricultural carbon emissions collected from the China National Knowledge Infrastructure (CNKI) between 2001 and May 2023, including publications indexed in Peking University Chinese Core Journals (PKU Core), Chinese Social Sciences Citation Index and Chinese Science Citation Database. The analysis covers publication quantity, author cooperation, institution cooperation, keyword co-occurrence, keyword clustering, keyword burst, keyword timeline, and keyword timezone. Research results indicate: (1) From the annual publication volume changes perspective, research on China’s agricultural carbon emissions demonstrates a rapid upward trend in the new era, with increasing research interest. (2) The core net-work of research authors has been established, primarily concentrated in agricultural and forestry universities, and the core network of institutions in this field is gradually forming. However, collaboration networks between authors and research institutions are relatively dispersed, necessitating strengthened collaboration among institutions. (3) Current research on agricultural carbon emissions predominantly focuses on the challenges of reducing agricultural carbon emissions in China under the “dual carbon” goals, measures, and pathways to achieve agricultural carbon emission reductions; performance evaluation of agricultural carbon emissions, factors affecting these emissions, and their reduction potential; as well as the relationship between agricultural carbon emissions and agricultural economic growth. Future research should delve deeper into the precise accounting of agricultural carbon emissions under the “dual carbon” goals, their underlying mechanisms, and issues related to precise and differentiated agricultural carbon reduction strategies. (4) The development trajectory of domestic agricultural carbon emissions research shows a period of germination from 2001 to 2009, a development stage from 2010 to 2015, and a deepening stage from 2016 to 2023, with a notable increase in publications in 2021, signifying a new upward phase in research output.
ML-GAP: machine learning-enhanced genomic analysis pipeline using autoencoders and data augmentation
Authors: Agraz Melih , Goksuluk Dincer , Zhang Peng , Choi Bum-Rak , Clements Richard T. , Choudhary Gaurav , Karniadakis George Em 
Published: September 2024

IntroductionThe advent of RNA sequencing (RNA-Seq) has significantly advanced our understanding of the transcriptomic landscape, revealing intricate gene expression patterns across biological states and conditions. However, the complexity and volume of RNA-Seq data pose challenges in identifying differentially expressed genes (DEGs), critical for understanding the molecular basis of diseases like cancer.MethodsWe introduce a novel Machine Learning-Enhanced Genomic Data Analysis Pipeline (ML-GAP) that incorporates autoencoders and innovative data augmentation strategies, notably the MixUp method, to overcome these challenges. By creating synthetic training examples through a linear combination of input pairs and their labels, MixUp significantly enhances the model’s ability to generalize from the training data to unseen examples.ResultsOur results demonstrate the ML-GAP’s superiority in accuracy, efficiency, and insights, particularly crediting the MixUp method for its substantial contribution to the pipeline’s effectiveness, advancing greatly genomic data analysis and setting a new standard in the field.DiscussionThis, in turn, suggests that ML-GAP has the potential to perform more accurate detection of DEGs but also offers new avenues for therapeutic intervention and research. By integrating explainable artificial intelligence (XAI) techniques, ML-GAP ensures a transparent and interpretable analysis, highlighting the significance of identified genetic markers.
Metabolite, immunocyte phenotype, and lymphoma: a Mendelian randomization study
Authors: Fan Chenyang , Yuan Pengying , Yang Xiangdong , Zhang Weifeng , Wang Xingli , Xie Juan , He Jing , Chen Haijing , Yan Lixiang , Shi Zhexin 
Published: September 2024

BackgroundRecent studies have confirmed that metabolites and immunocyte phenotype may be associated with the risk of lymphoma. However, the bidirectional causality between metabolites, immunocyte phenotype, disease risk, and whether immunity is an intermediate mediator between metabolism and lymphoma causality is still unclear.ObjectiveTo elucidate the causal relationship between metabolites, immune cell phenotypes, and lymphomas, we used two-sample Mendelian randomization (MR) and two-step MR analysis.MethodsApplying large-scale genome-wide association studies (GWAS) pooled data, we selected 1400 metabolites and 731 immunocyte phenotypes with eight lymphoma subtypes for two-sample bi-directional MR analysis. In addition, we used two-step MR to quantify the proportion of metabolite effects on lymphomas mediated by immunocyte phenotype.ResultsThis study yielded a bidirectional causal relationship between 17 metabolites and lymphoma and a bidirectional causal relationship between 12 immunocyte phenotypes and lymphoma. In addition, we found causal associations between metabolites and lymphomas, three groups of which were mediated by immunocyte phenotypes. Among them, CD27 on plasmablast/plasma cell (PB/PC) was a mediator of the positive association of arginine to glutamate ratio with chronic lymphocytic leukemia, with a mediator ratio of 14.60% (95% CI=1.29-28.00%, P=3.17 × 10-2). Natural killer (NK) cells as a percentage of all lymphocytes(NK %lymphocyte) was a mediator of the negative association of X-18922(unknown metabolite) levels with diffuse large B-cell lymphoma, with a mediation proportion of -8.940% (95% CI=-0.063-(-17.800) %, P=4.84 × 10-2). CD25 on IgD- CD24- B cell was the mediator of the positive association between X-24531(unknown metabolite) levels and diffuse large B-cell lymphoma, with a mediation proportion of 13.200% (95% CI=-0.156-26.200%, P=4.73 × 10-2).ConclusionIn the present study, we identified a causal relationship between metabolites and lymphoma, in which immunocyte phenotypes as mediators are involved in only a minor part. The mediators by which most metabolites affect the risk of lymphoma development remain unclear and require further exploration in the future.
Selected stem cell populations in pediatric acute lymphoblastic leukemia
Authors: Krętowska-Grunwald Anna , Sawicka-Żukowska Małgorzata , Starosz Aleksandra , Krawczuk-Rybak Maryna , Moniuszko Marcin , Grubczak Kamil 
Published: September 2024

IntroductionAcute lymphoblastic leukemia is characterized by a disturbed maturation of hematopoietic stem cells (HSCs) resulting in development of a malignant clone. Despite relatively positive outcome, there are still instances of disease relapse occurring due to ineffective disease eradication or primary leukemic clone alterations. Unclear significance of stem cells in the course of ALL led us to investigate and establish crucial changes in two stem cell populations - very small embryonic-like stem cells (VSELs) and HSCs during the induction phase of treatment.MethodsIn a retrospective study selected stem cells in peripheral blood and bone marrow of 60 pediatric ALL subjects and 48 healthy controls were subjected to flow cytometric analysis at 4 different time points.ResultsBoth VSELs and HSCs were elevated at the moment of ALL diagnosis compared to healthy controls, but profoundly decline until day 15. Further observations revealed an increase in HSCs with a concomitant depletion of VSELs until week 12. ALL patients with high HSCs showed positive correlation with bone marrow blasts at diagnosis. Patients with lower VSELs or HSCs at diagnosis had slightly improved response to applied therapy. We observed higher initial bone marrow lymphoblast values in patients with lower VSELs or higher HSCs in the high-risk group. The significance of VSELs in predicting treatment outcome can be illustrated by lower day 15 MRD level of patients with lower VSELs at diagnosis.DiscussionWe found HSCs and VSELs to be valid participants in pediatric ALL with possible contribution in the neoplastic process and prediction of initial treatment outcome.