bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANALISIS PENERAPAN MERITOKRASI DALAM PENEMPATAN PEGAWAI NEGERI SIPIL PADA JABATAN STRUKTURAL DI KABUPATEN KOLAKA
Authors: Arsyad Andi Adha , Utha Arifin , Mustafa La Ode 
Published: April 2022

Penelitian ini bertujaun untuk mendeskripsikan dan menganalisis penerapan meritokrasi dalam penempatan pegawai negeri sipil pada jabatan struktural di Kabupaten Kolaka. Penelitian ini menggunakan pendekatan kualitatif dengan informan yang berjumlah sebanyak 15 orang yang ditentukan secara purposive sampling. pengumpulan data dalam penelitian ini diperoleh melalui wawancara, observasi dan dokumentasi yang kemudian dianalisis secara kualitatif melalui analisis data interaktif yang terdiri dari reduksi data, penyajian data dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa mekanisme penempatan Pegawai Negeri Sipil pada jabatan struktural,di lingkup instansi pemerintah daerah Kabupaten Kolaka belum dilaksanakan sepenuhnya sesuai PeraturanPemerintah Nomor 11 Tahun 2017 tentang Manajemen Pegawai Negeri Sipil. Kriteria penilaian dalam penentuan penempatan pejabat struktural belum sepenuhnya diterapkan di lingkup instansi pemerintah daerah Kabupaten Kolaka selama tahun 2019. Kata Kunci: Meritokrasi, Penempatan Pegawai Negeri Sipil
ANALISIS KONSISTENSI PERENCANAAN DAN PENGANGGARAN DALAM MENDUKUNG PENCAPAIAN MISI PEMERINTAHAN KABUPATEN BUTON UTARA
Authors: Dahsyat Mirsan , Alam Syamsul , Kadir Abdul 
Published: April 2022

Tujuan penelitian ini adalah menganalisis konsistensi perencanaan dan penganggaran dalam mendukung pencapaian misi pemerintahan Kabupaten Buton Utara.Penelitian ini menggunakan pendekatan kualitatif dengan tipe tujuan deskriptif.Teknik pengumpulan data yang digunakan adalah wawancara dan studi dokumen.Informan penelitian terdiri aparat perencanaan dan penganggaran di perangkat daerah serta masyarakat yang pernah mengikuti konsultasi publik untuk penyempurnaan rencana kerja pemerintah daerah.Teknik analisis data yang digunakan adalah analisis kualitatif model interaktif. Hasil penelitian menunjukkan bahwa konsistensi perencanaan dan penganggaran dalam mendukung pencapaian misi pemerintahan Kabupaten Buton Utara belum optimal dikarenakan dari ketiga dimensi konsistensi perencanaan dan penganggaran hanya satu dimensi sudah optimal yakni harmonisasi rencana kerja perangkat daerah dengan rencana anggaran perangkat daerah, sedangkan dua dimensi lainnya belum optimal yakni harmonisasi sasaran strategis pemerintah daerah dengan rencana kerja pemerintah daerah, dan harmonisasi rencana kerja pemerintah daerah dengan rencana kerja perangkat daerah. Kata kunci: Konsistensi; Perencanaan; Penganggaran; Misi pemerintah daerah.
ANALISIS SISTEM PENGELOLAAN ASET PEMERINTAH DAERAH PADA BADAN KEUANGAN DAERAH KABUPATEN BUTON UTARA
Authors: Wijayana Sriati , Banga Wempy , Alam Syamsul 
Published: April 2022

Tujuan penelitian ini adalah mendeskripsikan dan menganalisis sistem pengelolaan aset pemerintah daerah pada Badan Keuangan Daerah Kabupaten Buton Utara. Penelitian ini menggunakan pendekatan penelitian kualitatif dengan tipe tujuan deskriptif. Data dikumpulkan melalui wawancara, studi dokumen dan pengamatan. Informan penelitian berjumlah 6 orang, terdiri pimpinan dan pegawai staf yang dipilih secara purposif. Teknik analisis data yang digunakan adalah analisis kualitatif model interaktif yang mencakup pengumpulan data yang terintegrasi dengan reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa sistem pengelolaan aset pemerintah daerah dalam dimensi-dimensi input, proses, dan output pengelolaan belum optimal. Dalam dimensi input, penyusunan dan pengajuan usulan rencana kebutuhan barang milik daerah dari pengguna barang sudah terlaksana secara sistematis, demikian juga dalam dimensi output, keputusan hasil penelaahan rencana kebutuhan barang milik daerah telah disampaikan secara tepat waktu kepada pengguna barang, namun dalam dimensi proses, penelaahan usulan rencana kebutuhan barang milik daerah belum sepenuhnya memperhatikan prinsip optimalisasi kemanfaatan asset bagi institusi pengguna. Kata Kunci: Sistem pengelolaan asset; Pemerintah daerah; Input; Proses; Output.
Engineering Bamboo Leaves Into 3D Macroporous Si@C Composites for Stable Lithium-Ion Battery Anodes
Authors: Wu Hao , Jiang Yingying , Liu Wenjun , Wen Hong , Dong Shihui , Chen Huan , Su Liwei , Wang Lianbang 
Published: April 2022

Silicon is considered as the most promising candidate for anodes of next generation lithium-ion batteries owing to its natural abundance and low Li-uptake potential. Building a macroporous structure would alleviate the volume variation and particle fracture of silicon anodes during cycling. However, the common approaches to fabricate macroporous silicon are complex, costly, and high energy-consuming. Herein, bamboo leaves are used as a sustainable and abundant resource to produce macroporous silicon via a scalable magnesiothermic reduction method. The obtained silicon inherits the natural interconnected network from the BLs and the mesopores from the BL-derived silica are engineered into macropores by selective etching after magnesiothermic reduction. These unique structural advantages lead to superior electrochemical performance with efficient electron/ion transport and cycling stability. The macroporous Si@C composite anodes deliver a high capacity of 1,247.7 mAh g−1 after 500 cycles at a current density of 1.0 A g−1 with a remarkable capacity retention of 98.8% and average Coulombic efficiency as high as 99.52% for the same cycle period. Furthermore, the rate capabilities of the Si@C composites are enhanced by conformal carbon coating, which enables the anode to deliver a capacity of 538.2 mAh g−1 at a high current density of 4.0 A g−1 after 1,000 deep cycles. Morphology characterization verifies the structural integrity of the macroporous Si@C composite anodes. This work demonstrated herein provides a simple, economical, and scalable route for the industrial production of macroporous Si anode materials utilizing BLs as a sustainable source for high-performance LIBs.
Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-Based Segmentation
Authors: Puyol-Antón Esther , Ruijsink Bram , Mariscal Harana Jorge , Piechnik Stefan K. , Neubauer Stefan , Petersen Steffen E. , Razavi Reza , Chowienczyk Phil , King Andrew P. 
Published: April 2022

BackgroundArtificial intelligence (AI) techniques have been proposed for automation of cine CMR segmentation for functional quantification. However, in other applications AI models have been shown to have potential for sex and/or racial bias. The objective of this paper is to perform the first analysis of sex/racial bias in AI-based cine CMR segmentation using a large-scale database.MethodsA state-of-the-art deep learning (DL) model was used for automatic segmentation of both ventricles and the myocardium from cine short-axis CMR. The dataset consisted of end-diastole and end-systole short-axis cine CMR images of 5,903 subjects from the UK Biobank database (61.5 ± 7.1 years, 52% male, 81% white). To assess sex and racial bias, we compared Dice scores and errors in measurements of biventricular volumes and function between patients grouped by race and sex. To investigate whether segmentation bias could be explained by potential confounders, a multivariate linear regression and ANCOVA were performed.ResultsResults on the overall population showed an excellent agreement between the manual and automatic segmentations. We found statistically significant differences in Dice scores between races (white ∼94% vs. minority ethnic groups 86–89%) as well as in absolute/relative errors in volumetric and functional measures, showing that the AI model was biased against minority racial groups, even after correction for possible confounders. The results of a multivariate linear regression analysis showed that no covariate could explain the Dice score bias between racial groups. However, for the Mixed and Black race groups, sex showed a weak positive association with the Dice score. The results of an ANCOVA analysis showed that race was the main factor that can explain the overall difference in Dice scores between racial groups.ConclusionWe have shown that racial bias can exist in DL-based cine CMR segmentation models when training with a database that is sex-balanced but not race-balanced such as the UK Biobank.
The Admission (Neutrophil+Monocyte)/Lymphocyte Ratio Is an Independent Predictor for In-Hospital Mortality in Patients With Acute Myocardial Infarction
Authors: Wang Yu , Yuan Miao , Ma Yao , Shao Congcong , Wang Yuan , Qi Mengyao , Ren Bincheng , Gao Dengfeng 
Published: April 2022

PurposePeripheral differential leukocyte counts are accepted prognostic indicators in patients with acute myocardial infarction (AMI). Herein, we assessed the value of the admission (neutrophil+monocyte)/lymphocyte ratio (NMLR) in predicting in-hospital mortality in these patients.Materials and MethodsSamples of patients from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database meeting the criteria were included. Receiver operating characteristic (ROC) curves were plotted to explore the predictive value and the optimum cut-off value of admission NMLR. Univariate and multivariate Cox regression analyses and restricted cubic spline (RCS) were performed to determine and visualize the association between admission NMLR and in-hospital mortality. The Kaplan-Meier (KM) method was used to plot survival curves of two groups with different admission NMLR levels.ResultsSamples in the non-survival group had higher admission NMLR values than samples in the survival group (12.11 [7.22–21.05] vs. 6.38 [3.96–11.25], P &lt; 0.05). The area under the ROC curve (AUROC) [0.707 (95% Confidence Interval, 0.677–0.737)] was significantly better than those of other indicators related to peripheral differential leukocyte counts, and the optimal cut-off value was 8.518. Cox regression analysis identified that higher admission NMLR was an independent risk factor for in-hospital mortality. RCS visualized the uptrend and the non-linear relationship between admission NMLR and in-hospital mortality (P-value for non-linearity &lt;0.05). The KM survival curve of the high admission NMLR group was significantly lower than that of the low admission NMLR group (P &lt; 0.001), and the former was associated with an increased risk of in-hospital mortality compared to the latter (Hazard Ratio, 1.452; 95% Confidence Interval, 1.132–1.862; P &lt; 0.05).ConclusionAn elevated admission NMLR is an independent predictor for high in-hospital mortality in patients with AMI. And it is superior to other leukocyte-related indexes.
Abdominal Aortic Endothelial Dysfunction Occurs in Female Mice With Dextran Sodium Sulfate-Induced Chronic Colitis Independently of Reactive Oxygen Species Formation
Authors: Wu Hao , Hu Tingzi , Zhang Linfang , Xia Xiujuan , Liu Xuanyou , Zhu Qiang , Wang Meifang , Sun Zhe , Hao Hong , Cui Yuqi , Parrish Alan R. , Li De-Pei , Hill Michael A. , Xu Canxia , Liu Zhenguo 
Published: April 2022

Background and ObjectiveInflammatory bowel disease (IBD) produces significant local and systemic inflammation with increased reactive oxygen species (ROS) formation. IBD Patients are at an increased risk for developing endothelial dysfunction and cardiovascular diseases. The present study tested the hypothesis that IBD impairs aortic endothelial function via ROS formation and investigate potential sex-related differences.Methods and ResultsAcute and chronic colitis models were induced in male and female C57BL/6 mice with dextran sodium sulfate (DSS) treatment. Aortic wall stiffness, endothelial function, and ROS levels, as well as serum levels of pro-inflammatory cytokines were evaluated. Acetylcholine (Ach)-induced endothelium-dependent relaxation of abdominal aorta without perivascular adipose tissue (PVAT) was significantly reduced in female mice, not males, with chronic colitis without a change in nitroglycerin-induced endothelium-independent relaxation. PVAT effectively preserved Ach-induced relaxation in abdominal aorta of female mice with chronic colitis. Aortic peak velocity, maximal intraluminal diameters, pulse wave velocity, distensibility and radial strain were preserved in mice with both acute and chronic colitis. Although pro-inflammatory cytokines levels were increased in mice with acute and chronic colitis, aortic ROS levels were not increased.ConclusionThe data demonstrate that abdominal aortic endothelial function was attenuated selectively in female mice with chronic colitis independent of ROS formation. Further, PVAT played an important role in preserving endothelial function in female mice with chronic colitis.
Current Knowledge on Factor V Leiden Mutation as a Risk Factor for Recurrent Venous Thromboembolism: A Systematic Review and Meta-Analysis
Authors: Eppenberger Daria , Nilius Henning , Anagnostelis Betsy , Huber Carola A. , Nagler Michael 
Published: April 2022

BackgroundThrombophilia screening is widely done in clinical practice, and it is claimed that the extent of venous thromboembolism (VTE) recurrence risk in patients with common defects is still not fully understood.AimWe aimed to summarize data of all observational studies prospectively assessing the association of heterozygous factor V Leiden (FVL) mutation and recurrent VTE in patients with VTE, and to calculate pooled relative risks (RR), overall and in various subgroups.MethodsWe searched MEDLINE and EMBASE databases for cohort studies prospectively assessing VTE recurrence in patients with and without FVL mutation (PROSPERO: CRD42021182800). Data were extracted on cohort and study-level. The methodological quality was assessed using the Newcastle-Ottawa Scale (NOS). RR were calculated overall and in subgroups using a random-effects model.ResultsFrom 31 cohorts, 24 studies were finally included summarizing 13,571 patients. Heterozygous FVL mutation was identified in 2,840 individuals (21%). The methodological quality was estimated to be high in 20 studies (83%). The overall RR was 1.46 (95% CI: 1.31, 1.64), consistent across subgroups.ConclusionsPooling all high-quality epidemiological data, the risk of recurrent VTE was increased by 46% in patients with heterozygous FVL mutation. Against the background of established risk factors, the FVL mutation plays only a marginal role in the risk assessment for recurrent VTE.
Effects of the Order Parameter Anisotropy on the Vortex Lattice in UPt3
Authors: Avers K. E. , Gannon W. J. , Leishman A. W. D. , DeBeer-Schmitt L. , Halperin W. P. , Eskildsen M. R. 
Published: April 2022

We have used small-angle neutron scattering to determine the vortex lattice phase diagram in the topological superconductor UPt3 for the applied magnetic field along the crystalline c-axis. A triangular vortex lattice is observed throughout the superconducting state, but with an orientation relative to the hexagonal basal plane that changes with field and temperature. At low temperature, in the chiral B phase, the vortex lattice undergoes a non-monotonic rotation with increasing magnetic field. The rotation amplitude decreases with increasing temperature and vanishes before reaching the A phase. Within the A phase an abrupt ±15° vortex lattice rotation was previously reported by Huxley et al., Nature 406, 160-164 (2000). The complex phase diagram may be understood from competing effects of the superconducting order parameter, the symmetry breaking field, and the Fermi surface anisotropy. The low-temperature rotated phase, centered around 0.8 T, reported by Avers et al., Nature Physics 16, 531-535 (2020), can be attributed directly to the symmetry breaking field.
How Does Energy Efficiency Mitigate Carbon Emissions Without Reducing Economic Growth in Post COVID-19 Era
Authors: Li Min , Yao-Ping Peng Michael , Nazar Raima , Ngozi Adeleye Bosede , Shang Meng , Waqas Muhammad 
Published: April 2022

A comprehensive analytical study to assess the performance level of industrial functions in the environment has become necessary at the present time. According to existing research, the COVID-19 pandemic resulted in a significant reduction in carbon emissions in 2020. Policymakers are focusing on the discrepancies and negative environmental effect caused by various industries during their routine operations. This study aims to estimate the performance level of energy in the context of the environment of the countries that are members of the European Union This evaluation is performed through a data envelopment analysis (DEA) model, through which we have applied a non-proportional adjustment, taking into account the input of energy and its undesirable output. The DEA model allows dynamic assessment of sources in the field of measuring energy efficiency and its environmental effects. The score of measurement of efficiency lies between zero and one, which means China and Russia are awarded this score of one (1), which shows the highest level of efficiency in clean energy, while Bangladesh (0.19), Uzbekistan (0.09), Mongolia and Cambodia (0.06), and Kyrgyzstan (0.04) are at the lowest level of performance in clean energy. The results of the study showed that clean energy efficiency levels increased in all countries over the study period. The emission level of greenhouse gases in the first world countries was found to be better in the context of improvement in performance enhancement in the sector of the energy mix. Evasion score is measured as 365 kt of CO2. This score for NO2 is 280 kt and for SO2 is 82 kt, whereas it is 23 kt (0.24 kg/cap) of particulate hazardous matter. The higher performance level of energy yields a negative relationship with emissions of gases, with a significant number of 12% for NO2 in 2000, as compared to 13% for SO2 and 14% for PM2.5. Whereas PM10 has the highest concentration (18%). Public policymakers may enhance the facilitation system for better free trade and a result-oriented corporate environment to enhance the performance level of energy in the electric sector.
Interrelationship Among Rice Grain Arsenic, Micronutrients Content and Grain Quality Attributes: An Investigation From Genotype × Environment Perspective
Authors: Moulick Debojyoti , Ghosh Dibakar , Skalicky Milan , Gharde Yogita , Mazumder Muhammed Khairujjaman , Choudhury Shuvasish , Biswas Jayanta Kumar , Santra Subhas Chandra , Brestic Marian , Vachova Pavla , Hossain Akbar 
Published: April 2022

Arsenic contamination in the rice agro-ecosystem, its consequent spread into the food chain, and its adverse impact are a global concern. However, assessment of the impact of arsenic contamination on the qualitative aspect of rice in the post-harvest phase has not been attempted. We laid down this particular experiment with the aim to assess how arsenic contamination influences the grain quality attributes and other elemental profiles of four popular rice varieties. The entire field study was conducted in the lower Indo-Gangetic plain from genotype (four) and environment (14 locations) interaction point of view, using the additive main effects and multiplicative interaction model. Our findings indicate that grain arsenic content can influence the grain quality attributes and other elemental profiles in a low to highly significant manner. Amylose content (r = 0.753), cooking time (r = 0.706), and gruel solid loss (r = 0.672, 0.721) were found to be positively correlated with grain arsenic content in high-yielding varieties. Noteworthy variations in micronutrient content like iron (6.63–9.23 mg kg−1), zinc (3.15–5.54 mg kg−1), and copper (2.04–3.86 mg kg−1) as well as soil properties are also visible. Moreover, indigenous rice varieties respond differently than high-yielding varieties. Besides these, a pronounced impact of gene/variety and environment interaction can be seen. The findings clearly indicate that the qualitative aspect of rice is also prone to As contamination. These outcomes will attract the attention of policy-makers and researchers to develop rice varieties that have desirable quality attributes appropriate for the arsenic-contaminated regions of the world for sustainable rice production.
Skin Interstitial Fluid and Plasma Multiplex Cytokine Analysis Reveals IFN-γ Signatures and Granzyme B as Useful Biomarker for Activity, Severity and Prognosis Assessment in Vitiligo
Authors: Ng Chau Yee , Chiu Yen-Chuan , Chan Yu-Pei , Lin Yu-Jr , Chung Pei-Han , Chung Wen-Hung , Ku Cheng-Lung 
Published: April 2022

BackgroundThe course of vitiligo is unpredictable, with periods of disease flare-ups and prolonged recovery periods. It is essential to establish a biomarker profile as a substitute marker for disease activity to predict disease activity, severity, and prognosis prediction. The use of localized skin interstitial fluid as biomarkers has recently gained interest, but extensive studies of the association between skin interstitial fluid, plasma, and the disease course is lacking. This study aims to evaluate the cytokine expression profiles in the skin and plasma and the utility of the biomarker panel in assessing disease activity, severity, and prognosis in patients with vitiligo.MethodsIn this prospective cohort study, 86 patients and 34 healthy controls were recruited from the outpatient department of a tertiary medical center from March 2019 to September 2021. All patients were of Asian ethnicity. Two independent investigators evaluated disease activity and severity with longitudinal follow-ups for treatment response for a-12 month period. Ultrasensitive multiplex cytokine panel and single-molecule counting technology immunoassays were used to study the cytokine expression in skin interstitial fluid and plasma.ResultsIFN-γ and its’ signature cytokines, including CXCL9, CXCL10, and GzmB, are most highly expressed in the vitiligo patients’ lesion skin interstitial fluid and plasma compared to healthy control. By way of comparison, no significant changes in IL-1β, IL-13, IL-15, IL-17A, IL-18 were observed. Receiver operating characteristic analysis revealed that IFN-γ is the most sensitive and specific marker in predicting disease activity, followed by CXCL10 and GzmB. CXCL-9 was sensitive and specific in diagnosing vitiligo disease severity. The decrease in IFN-γ expression level is positively correlated with the treatment response.ConclusionIFN-γ, CXCL9, CXCL10, and GzmB are highly expressed in vitiligo patients’ lesion skin and plasma and may serve as biomarkers for the clinical activity, severity, and prognosis prediction in vitiligo patients. Among all, IFN-γ exerts the highest predictive value in disease activity and treatment response, supporting the critical role of IFN-γ in the pathogenesis of vitiligo.