bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efek sertifikasi RSPO dan determinan lainnya terhadap kinerja keuangan perusahaan perkebunan kelapa sawit di Indonesia
Authors: Malau Leo Rio Ependi , Rambe Khoiru Rizqy 
Published: October 2022

Industri kelapa sawit menjadi sorotan karena selalu dikaitkan dengan isu deforestasi, kehilangan biodiversitas, peningkatan emisi dan alih fungsi lahan. RSPO (Roundtable on Sustainable Palm Oil) hadir sebagai salah satu label sertifikasi untuk menjamin praktik perkebunan kelapa sawit yang berkelanjutan. Namun sertifikasi RSPO berdampak terhadap peningkatan biaya sehingga memengaruhi kinerja keuangan perusahaan. Selain itu, kinerja keuangan perusahaan dipengaruhi oleh banyak faktor baik internal dan eksternal. Penelitian bertujuan menganalisis pengaruh sertifikasi RSPO dan faktor-faktor lainnya terhadap kinerja keuangan perusahaan kelapa sawit di Indonesia yang diproksi dengan Return on Assets (ROA), analisis menggunakan Regresi Panel Statis. Penelitian menggunakan data sekunder berupa laporan tahunan periode 2015-2021 dari 15 perusahaan kelapa sawit yang terdaftar di Bursa Efek Indonesia (BEI). Hasil Regresi Panel Statis dengan Fixed Effect Model (FEM) menunjukkan bahwa sertifikasi RSPO berpengaruh positif dan signifikan terhadap ROA. Hasil penelitian menunjukkan bahwa perusahaan yang memiliki sertifikasi RSPO memiliki ROA yang lebih besar dibandingkan perusahaan yang tidak memiliki sertifikasi dengan selisih 2,04%. Faktor lainnya yang berpengaruh positif terhadap ROA, yaitu ukuran perusahaan dan harga CPO internasional. Sedangkan Debt Asset Ratio (DAR) dan Cost of Goods Sold (COGS) berpengaruh negatif terhadap ROA.
APPLICATIONS OF PHOTOGRAMMETRY TO NEOICHNOLOGICAL STUDIES: THE SIGNIFICANCE OF SHOREBIRD TRACKWAY DISTRIBUTIONS AT THE BAY OF FUNDY
Authors: MELNYK SCOTT , COWPER ANDERS , ZONNEVELD JOHN-PAUL , GINGRAS MURRAY K. 
Published: October 2022

Abstract
Low-level drone photogrammetry is a technique that allows for the construction of surface orthomosaics and elevation models. Despite being used for a wide range of geological applications, these types of datasets have not yet been explored from a neoichnological perspective. This study uses three examples of tidal flats from the Bay of Fundy to demonstrate the usefulness of 3D photogrammetry in the collection of high-resolution neoichnological datasets. The first site is a bar top along the Petitcodiac River that is situated between a salt marsh and tidal channel margin. The second site, which is located along the Shepody River, represents a laterally accreting channel margin and thus has a relatively high relief. In contrast, the final site comprises a gently sloping tidal flat that is far from the influence of a major tidal channel. Spatial analysis of the shorebird tracks at each site was used to assess the relationship between shorebird track distributions (e.g., track density, stride orientation, stride length) and various environmental and ecological factors (e.g., topography, tidal current direction, invertebrate prey distributions). Additionally, morphological analysis of the tracks was used to assess variations in substrate cohesiveness, which is the environmental factor that exhibited the most variability at the study locations. The track record at each site represents a shorebird flock that traversed the tidal flats in such a way as to optimize foraging success. As a result, the abundance and availability of macrobenthic invertebrate prey was the primary factor contributing to shorebird track density. This paper aims to assess local-scale variations in tidal flat substrate cohesiveness and provide context for the interpretation of fossilized shorebird trackways.
Determinants of coal consumption in Vietnam: Implications for sustainable development
Authors: Tran Nhan Dang , Sahu Naresh Chandra 
Published: October 2022

Abstract
This study investigates the relationship between gross domestic product (GDP) and coal consumption in an emerging country, Vietnam. We test for the existence of an environmental Kuznets curve (EKC) relationship from 1984 to 2021 using the autoregressive distributed lag (ARDL) framework. After verifying a level relationship, we show that the GDP elasticity of coal demand rises with economic growth and is greater than unity since the 1990s. Thus, the GDP-coal consumption relationship resembles an upward-sloping curve instead of an inverted U-shaped EKC. This relationship is robust to estimation methods and when we control for two additional variables. While renewable energy consumption is negatively associated with coal consumption, oil prices have no significant impact on coal usage in the long run. The findings allow us to provide policy implications for the sustainable development of Vietnam. Specifically, the large GDP elasticity suggests that Vietnam should reduce its excessive coal use to become more ecologically sustainable by making coal more expensive than cleaner alternatives.
Oscillation Criteria for Fractional Differential Equations with a Distributed Delay
Authors: UZUN TUĞBA YALÇIN , ÖZTÜRK SERMİN 
Published: October 2022

Abstract
This paper deals with obtaining some sufficient conditions for oscillation of high order neutral fractional integro-differential equations. The obtained results are mentioned for the first time in the literature for the oscillation of Caputo-Fabrizio fractional integro-differential equations. Finally, an illustrative example is given to verify our main results.
Power Spectrum Inception of F2 Layer at Solar-Terrestrial Region of Pakistan
Authors: Jan Bulbul , Afridi Faisal Ahmed Khan , Yousufzai Muhammad Ayub Khan , Nawaz Faisal , Ahmed Arsalan , Mehmood Faraz , Baig Mirza Jawwad 
Published: October 2022

Abstract
In this study, we introduce a recent approach to implement the wavelet analysis of ionospheric parameters and anomaly detection during ionospheric irregularities over Pakistan. The most important aspect of the wavelet analysis is the timefrequency distribution representation of the signal. This study investigates the variability of ionospheric F2 layer and utilizes critical frequency (foF2) of F2 layer during the year 2008–2017 in Pakistan region. The results of this study identify the most important bands of low frequency variations, which are very relevant for study of periodicities measurements of F2 layer. Moreover, Morlet wavelet has revealed that generally the global wavelet power spectrum (GWPS) is the most prominent in the annual cycles. The multifaceted interactions of ionospheric fluctuations with different time scales, e.g. annual, biannual, become significant due to higher peaks appear during the periods 128–256, 256–512 and 512–1024 days in daily data sets. The wavelet trend revales a noticeablel power range between the 2–16 day bands, representing an annual fluctuation for daily observations of F2 layer. The low deviation in a frequency range highlights the existence of seasonality in the F2 layer during the study period. These results emphasize that foF2 observations exhibit irregular distrabances with non-stationary power at different frequencies. The study will be helpful for stakeholders and government authorities because high frequency sky-waves users schedule their programs one month in advance, but they also need day by day information about the ionospheric conditions in order to revise programs.
Psychometric properties of medication adherence instruments in cardiovascular diseases and type 2 diabetes mellitus: a systematic review and meta-analysis
Authors: Oliveira Henrique Ceretta , Hayashi Daisuke , Carvalho Samantha Dalbosco Lins , Barros Rita de Cássia Lopes , Neves Mayza Luzia dos Santos , Andrechuk Carla Renata Silva , Alexandre Neusa Maria Costa , Ribeiro Paula Aver Bretanha , Rodrigues Roberta Cunha Matheus 
Published: October 2022

Abstract
Background

Medication adherence has a major impact on reducing mortality and healthcare costs related to the treatment of cardiovascular diseases and diabetes mellitus. The task of selecting the best PROM among the many available for this kind of patient is extremely important. This study aims to critically assess, compare and synthesize the quality of the measurement properties of patient-reported outcome measures to access medication adherence among patients with cardiovascular diseases and/or type 2 diabetes mellitus.

Methods

This review followed the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) and the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) guidelines. The searches were performed in Web of Science, SCOPUS, PubMed, CINAHL, EMBASE, LILACS, PsycINFO, and ProQuest (gray literature).

Results

A total of 94 records including 24 different PROMs were included in the review. The records were published between 1986 and 2020, most of them were conducted in the United States, and in English language. The only PROM that reached the criteria of category A, e.g., that can be recommended for use and results obtained can be trusted is the ProMAS. The PROMs that shouldn’t be recommended for use (category “c”) are the MTA, LMAS-14, GMAS, MEDS, MNPS, MALMAS, ARMS-D, DOSE-Nonadherence, MGT, MARS-5, and A-14. The remaining PROMs, e.g., MMAS-8, SMAQ, DMAS-7, ARMS-12, MTA-OA, MTA-Insulin, ARMS-10, IADMAS, MAQ, MMAS-5, ARMS-7, and 5-item questionnaire were considered as having the potential to be recommended for use (category “b”).

Conclusion

ProMAS is the only PROM that could be considered trusted and recommended for use for patients with cardiovascular diseases and/or type 2 diabetes mellitus. However, another 12 PROMs has the potential to be recommended for use but need further studies to ensure their quality, according to COSMIN guideline for systematic reviews of PROMs.

Systematic review registration

PROSPERO CRD42019129109.
Non-pharmacological interventions for the elderly with psychogenic insomnia: A Scoping Review Protocol
Authors: Guo Yabin , Li Ying , Zhou Yang , Su Manman , Cao Jiri 
Published: October 2022

Abstract
Background: The elderly grow as age, sleep quality becomes worse, and psychogenic insomnia occupies a large proportion, which can lead to cognitive impairment and an increased risk of cardiovascular disease, even leading to suicide. It also places a psychological and financial burden on families. It is because of the characteristics of psychogenic insomnia: the two-way effect of negative emotions and insomnia, coupled with the aging of the elderly themselves, that psychogenic insomnia in the elderly is more difficult to treat. Considering the side effects of medication in the elderly, therefore, identifying non-pharmacological interventions for the elderly with psychogenic insomnia is a matter of urgent research for a solution that will help health professionals and stakeholders (nursing staff, patients, and community).
Methods and analysis: We will undertake the review using the Joanna Briggs Institute (JBI) methodology. We develop search strategies and will search 6 databases without a date limit, and select articles published in Chinese and English. Retrieve and store all the records in Endnote 20 and NoteExpress, followed by the title and abstract screening as well as a full-text review. Results will be reported using PRISMA flow charts. Use standardized data extraction tables to extract data. All screening and extraction will be performed independently by two authors. We will present the final results in the form of descriptive summaries and charts.
Discussion
We anticipate that the scoping review will highlight the available resources and evidence on interventions that improve the sleep quality of the elderly. This may contribute to informed empirical evidence for professionals to enhance the functional recovery of the elderly. It may also reveal what interventions nurses could do.
Scoping review registration
The protocol has been registered prospectively on the Open Science Framework: http：//osf.io/urdhy/
Pericardial cyst compressing right atrium and ascending aorta – anesthetic management case report
Authors: Utpat Vasudeo , Rayban Mangesh , Suryavanshi Satish 
Published: October 2022

Abstract

Pericardial cysts are rare, benign congenital mediastinal or cardiodiaphragmatically located cysts which develop secondary to pericarditis, trauma, or infection without communication with pericardial space. Most pericardial cysts are asymptomatic malformations and discovered incidentally which when undetected leads to life-threatening complications like diastolic dysfunction, right ventricular outflow tract obstruction, pulmonary stenosis or congestive heart failure. In this case report we present a 43-year-old female with an asymptomatic 5.5x6.0x6.3 cm pericardial cyst which was incidentally identified as an abnormal cardiac silhouette during routine chest radiography. Chest radiography reports confirmed the presence of a pericardial cyst with compression of the right atrium and ascending aorta. The patient underwent successful thoracoscopic resection of the pericardial cyst under general anesthesia following thoracotomy. The patient’s postoperative course was uneventful and he was discharged on postoperative day 4 in a stable condition. Appropriate mitigation of perioperative challenges associated with the thoracoscopy based resection of pericardial cysts minimizes mortality rate and improve patient outcomes.
Application of Machine Learning in Prediction of COVID-19 Diagnosis for Indonesian Healthcare Workers
Authors: Sonthalia Shreyash , Muharrom Muhammad Aji , Sani Levana , Khaimani Jatin , Herlinda Olivia , Sumulyo Sinta Amalia Kusumastuti , Kamilah Fariza Zahra , Hapsari Rebriarina , Irwanto Astrid , Aldila Fatma , Rabbani Bijak , Tirtawisata Andhika , Luntungan Nurul , Saminarsih Diah , Taher Akmal 
Published: October 2022

Abstract
Background
In developing countries like Indonesia, limited resources for routine mass Coronavirus Disease 2019 (COVID-19) RT-PCR testing among healthcare workers leave them with a heightened risk of late detection and undetected infection, increasing the spread of the virus. Accessible and accurate methodologies must be developed to identify COVID-19 positive healthcare workers. This study aimed to investigate the application of machine learning classifiers to predict the risk of COVID-19 positivity in high-risk populations where resources are limited and accessibility is desired.
Methods
Two sets of models were built: one both trained and tested on data from healthcare workers in Jakarta and Semarang, and one trained on Jakarta healthcare workers and tested on Semarang healthcare workers. Models were assessed by the area under the receiver-operating-characteristic curve (AUC), average precision (AP), and Brier score (BS). Shapley additive explanations (SHAP) were used to analyze feature importance. 5,394 healthcare workers were included in the final dataset for this study.
Results
For the full model, the voting classifier composed of random forest and logistic regression was selected as the algorithm of choice and achieved training AUC (mean [Standard Deviation (SD)], 0.832 [0.033]) and AP (mean [SD], 0.476 [0.042]) and was high performing during testing with AUC and AP of 0.753 and 0.504 respectively. A voting classifier composed of a random forest and a XGBoost classifier was best performing during cross-validation for the Jakarta model, with AUC (mean [SD], 0.827 [0.023]), AP (mean [SD], 0.461 [0.025]). The performance when testing on the Semarang healthcare workers was AUC of 0.725 and AP of 0.582.
Conclusions
Our models yielded high predictive performance and can be used as an alternate COVID-19 screening methodology for healthcare workers in Indonesia, although the low adoption rate by partner hospitals despite its usefulness is a concern.
Study on the failure characteristics of overburden and the evolution law of seepage field in deep buried thick coal seam under aquifers
Authors: Li Yang , Lei Xinghai , Wang Nan , Ren Yuqi , Jin Xiangyang , Li Guoshuai , Li Tiezheng , Ou Xiangji 
Published: October 2022

Abstract
Water inrush at roof area seriously affects the safety of coal mines. The characteristics of aquifer and aquiclude at Wutongzhuang Mine are analyzed. Considering the effect of seepage field, a formula for calculating the height of water-conducting fractured zone (HWCFZ) in deep buried thick coal seam mining is derived. A damage-seepage coupling model with rock porosity and damage factor as independent variables is established. FLAC3D is re-developed by using FISH language, and the fluid-solid coupling calculation model of deep buried thick coal seam mining is established. The evolution law of the plastic zone, seepage field and water-conducting fractured zone (WCFZ)of the overburden in the gob with the advancement of the working face is analyzed, the main conclusions are as follows: With the continuous advancement of the working face, the distribution shape of the plastic zone and seepage field has changed from a trapezoidal to a saddle shape; when the working face reaches full mining, the maximum heights of the caving zone, fractured zone and HWCFZ are 24m, 113m, and 123 m, respectively; the 50m-thick sandy shale aquifer is penetrated by the WCFZ, and the WCFZ on the side of the working face above the gob is the main water channel when the working face is advanced to 220m. The on-site monitoring results showed that the 50m-thick sandy shale is successively connected by the WCFZ. The results of comprehensive research showed that the HWCFZ cannot be calculated by traditional formulas when mining deep buried thick coal seams.
A topologically chiral catenane that is not topologically chiral
Authors: Goldup Stephen , Pairault Noel , Rizzi Federica , Lozano David , Jamieson Ellen , Tizzard Graham 
Published: October 2022

Abstract
To consider the topology of a molecule, its structure is reduced to labelled vertices (the atoms) and edges (bonds between them) to generate a molecular graph. If only covalent bonding interactions are included, such graphs are like the structural diagrams commonly employed by chemists atomic geometry is irrelevant; most molecules can be represented as a two-dimensional network and most stereoisomers are topologically identical. In 1960, Wasserman synthesized a molecule in which two rings are held together like in a chain, which is a topological isomer of the separated rings, highlighting that molecules could be topologically non-trivial. This insight has found wider implications in biochemistry but it also led to the assumption that the stereochemistry of catenanes that are chiral due to the orientation of their rings is inherently topological in nature. We show this is incorrect by synthesizing an example whose stereochemistry is Euclidean. Thus, we can unite the stereochemistry of catenanes with that of their topologically trivial cousins, the rotaxanes, paving the way for a more unified approach to their discussion.
Wafer-scale Fabrication of CMOS-compatible Trapping-mode Infrared Imagers with Colloidal Quantum Dots
Authors: TANG Xin , Zhang Shuo , Bi Cheng , Qin Tianling , Liu Yanfei , Cao Jie , Song Jiaqi , Huo Yongjun , Chen Menglu , Hao Qun 
Published: October 2022

Abstract
Silicon-based complementary metal-oxide-semiconductors (CMOS) devices have dominated the technological revolution in the past decades. With increasing demands in machine vision, autonomous driving, and artificial intelligence, Si-CMOS imagers, as the major optical information input devices, face great challenges in spectral sensing ranges. In this paper, we demonstrate the development of CMOS-compatible infrared colloidal quantum dots (CQDs) imagers in the broadband short-wave and mid-wave infrared ranges (SWIR and MWIR, 1.5-5µm). A new device architecture of trapping-mode detector is proposed, fabricated, and demonstrated with lowered dark currents and improved responsivity. The CMOS-compatible fabrication process is completed with two-step sequential spin-coating processes of intrinsic and doped HgTe CQDs on an 8-inch CMOS readout wafer with photoresponse non-uniformity (PRNU) down to 4%, dead pixel rate of 0%, external quantum efficiency up to 175%, and detectivity as high as 2×1011Jones for extended SWIR (cut-off wavelength=2.5µm) @ 300K and 8×1010Jones for MWIR (cut-off wavelength=5.5µm) @ 80K. Both SWIR images and MWIR thermal images are demonstrated with great potential for semiconductor inspection, chemical identification, and temperature monitoring.
Developing a core competency framework for advanced practice nursing in mainland China: A sequential exploratory study
Authors: Guo hongxia , Zhu Wei , Li Jiping 
Published: October 2022

Abstract
Background
Advanced Practice Nursing (APN) have been highly valued and an integral part of the health care system. Development and establishment of new APN roles is a complex process that has resulted from a wide variety of reasons, key component is a lack of a competency map delineation and role evaluation. Currently, however, competence framework has not been compared at an international level. In mainland China, APN have been introduced in some organizations but their competency domains have not yet been clearly defined, this study aimed to identify the core competencies for advanced practice nursing.
Methods
This study was performed in two phases: first, in-depth and semistructured individual interviews were carried out followed by a qualitative content analysis, then an item pool of core competencies was constructed by extracting data from the first phase and the results from previous studies, scales and documents; second, a Delphi technique was conducted with the participation of 28 experts from 7 areas of China to form the final core competency framework for advanced practice nursing.
Results
Through the qualitative phase, the core competency framework with six domains and 70 items emerged and then entered into the Delphi phase. Twenty-eight of 30 experts finished 2 rounds of Delphi approaches. The final core competencies for advanced practice nursing consisted of six domains, including direct clinical nursing practice, research and evidence-based nursing practice, professional development, organization and management, mentoring and consultation, and ethical/legal practice, with 61 items.
Conclusion
This core competency framework consisted of six domains with 61 items can be used in competency-based education to cultivate advanced practice nurses as well as competency level assessment.
Automatic MTM-Transcription in Virtual Reality Using the Digital Twin of a Workplace
Authors: Andreopoulos Emmanouil , Gorobets Valentina , Kunz Andreas 
Published: October 2022

Abstract
Despite the high level of automation in industrial production, manual operations still play an important role and contribute significantly to the overall production costs. For the evaluation of these manual processes the ``Methods-Time Measurement'' (MTM) is widely used. This method is applied to real workplaces or mock-ups thereof, while also Virtual Reality (VR) can be used for the representation of such workplaces. However, the evaluation of the workers' performed actions is still done manually, which is a time-consuming and error-prone process. This paper introduces an approach to automatically detect full-body actions of users in VR and consequently derive the appropriate MTM values, without knowledge of a pre-existing workplan. The detection algorithm that was developed is explained in detail and its performance is analyzed through a user study with 30 participants.