bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Penerapan Deret Ukur dalam Perhitungan Laju Pertumbuhan Penduduk Terhadap Tingkat Kemiskinan
Authors: Salsabila Syahnaz , Sri Agustin Ade , Kirana Wijayanti Shinta , Kustiawati Dedek 
Published: July 2023

This study aims to analyze the application of a series of measures in calculating the rate of population growth to the poverty rate. The measuring series in the economy is a model of population growth. Population growth is a change in the number of inhabitants in a population that occurs over a certain period. Judging from data from BPS (Central Statistics Agency) regarding the population growth rate in 2015-2022, there are similar differences. BPS also stated that Indonesia's population growth rate in 2020-2025 was 0.9%. In research conducted using the literature study method which is one type of qualitative research which uses references derived from books, scientific articles such as journals, proceedings that are in accordance with the topic to be discussed. The purpose of applying the measuring series in the calculation of the population growth rate to the poverty rate is to predict the number of inhabitants in 2023-2025 and its effect on the poverty rate. An increasing population will result in a large gap between the population, low quality and ability of the population, causing an increase in the level of poverty.
Media Framing of Refugees
Authors: Iberi Daniel , Saddam Raudhat 
Published: July 2023

On February 24, 2022, Russia launched a full-scale invasion of Ukraine. The resulting conflict has led to approximately 14,059 civilian casualties of which roughly 5,767 people have died and a further 8,292 got injured as of October 2022. Seven million people are internally displaced. Europe, as of October 2022, was faced with the largest and fastest refugee movement since the end of the Second World War. Five million Ukrainians have been forced to seek asylum in the neighboring states, the majority of whom have fled to Poland. In this context, this study focuses on media framing of Ukraine and African refugees destined for Europe in international media: Al Jazeera English, ABC News, CBS News, France 24, TRT World, BBC News, Sky News, CNN, and DW. The media were selected because of their wide coverage, reach, as well as time dedicated to reporting on the issues of immigrants and refugees. The authors took a constructivist approach in which Framing and Agenda Setting theories provided a framework for identifying and explicating frames. Two dominant frames emerged in the analysis of 23 video clips that covered Ukrainian and African refugees: the human interest and the security frames. The human-interest frame is commonly used in news and it essentially serves the purpose of portraying the emotional angle to the presentation of an issue. The Ukrainian refugee crisis contrasted with the African refugee crisis through the human-interest frame, the former was portrayed as victims of the barbaric acts by Russia led by a merciless tyrant with imperialist and expansionist objectives. The second frame – the Security Frame – applied mostly to African refugees fleeing to Europe. The selected media outlets covered African refugees fleeing to Europe especially through Spain, Turkey, Greece, Hungary, and Italy through the security lens compared to the Ukrainian refugees.
Effect of Trichocapsules and Different Organic Manures on Yield and Quality of Strawberry (Fragaria × ananassa Duch.) cv. Winter Dawn
Authors: Reddy V. Visweswar , Joseph Annjoe V. , Mishra Saket , Bahadur Vijay , Prasad V. M. 
Published: July 2023

Aim and Study: The garden strawberry is a widely grown hybrid species of the genus Fragaria, collectively known as the strawberries, which are cultivated worldwide for their fruit. The fruit is widely appreciated for its characteristic aroma, bright red colour, juicy texture, and sweetness. It is consumed in large quantities, either fresh or in such prepared foods as jam, juice, pies, ice cream, milkshakes, and chocolates. The present investigation was done to understand the plant growth, fruit yield and quality of strawberry using different combinations of treatment using organic, inorganics and bio-fertilizers.
Methodology: The experiment was carried out at Horticultural Research Farm (HRF), Department of Horticulture, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences (SHUATS), Prayagraj during the Winter season of 2022 with a view to identify the effects of different combinations of organics, inorganics and biofertilizers nutrition and its role in growth, yield and quality of fruit of strawberry Cultivar Winter drawn. The experiment was laid in Randomized block design with 10 treatments and 3 replications with different combination in Trichocapsules (Trichodex) and application of organic nutrition.
Results and Conclusion: The study showed positive responses of strawberry Cv. Winter Dawn to application of Trichocapsules in enhancing the vegetative growth, yield, quality of fruits and showed a better resistance to disease incidence. Based on growth, yield, quality parameters Treatment T6 (Vermicompost + Trichocapsules @ 400ppm) was found best in this research experiment.
Policy implementation in crisis: Lessons from the Philippines
Authors: Zech Steven T. , Eastin Joshua , Bonotti Matteo 
Published: July 2023

AbstractLike many countries, the Philippines faced severe economic, social, and political challenges during the COVID‐19 pandemic. In March 2020 President Duterte issued an executive order announcing a national state of emergency that introduced a highly restrictive system for community quarantine and lockdown. While these measures led international observers to rank the Philippinesʼ pandemic response among the worldʼs most stringent, it is unclear whether subsequent health outcomes were sufficient to justify the severity. In this article, we evaluate discrepancies between COVID‐19 policy goals and outcomes in the Philippines via a compelling but under‐utilized method of democratic deliberation, the ‘mini‐public’. The mini‐public that we held brought together a random sample of citizens who heard testimony from local public health experts and political leaders, and then used this information in conjunction with their own experiences to identify policy shortcomings and develop recommendations for policymakers. The most substantial challenges to the governmentʼs pandemic response were reported to be inadequate enforcement and under‐resourcing of government officials tasked with policy implementation. These challenges created a disconnect between policy objectives and their performance in practice. We conclude by summarizing the mini‐public participantsʼ recommendations.
Application of econometrics in energy research—Empowerment from big data and machine learning
Authors: Chen Yiyan , Lean Hooi Hooi 
Published: July 2023

AbstractThis article expounds on the challenges of sustainable global energy development to conventional econometrics in energy research. It introduces energy big data's “4V” characteristics, that is, volume, variety, velocity, and veracity. Further, the article presents a series of challenges the “4V” feature brings to conventional econometrics research on energy issues. Then, by reviewing the existing literature, the article proposes the improvement and promotion of conventional econometrics in the three directions of data exploration and variable generation, prediction, and causal inference of machine learning in big data. Finally, the article concludes that the discipline of econometrics will never go out of fashion. Although big data and machine learning will increasingly challenge the conventional econometrics research paradigm, econometrics will be reborn in the way of “phoenix nirvana”.This article is categorized under:
Emerging Technologies > Digitalization
Computed Tomography Perfusion for the Diagnosis of Brain Death: A Technical Review
Authors: Aziz Rizk Abanoub , Farhani Nahal , Shankar Jai 
Published: July 2023

ABSTRACTTimely diagnosis of brain death (BD) is critical as it prevents unethical and futile continuation of support of vital organ functions when the patient has passed. Furthermore, it helps with avoiding the unnecessary use of resources and provides early opportunity for precious organ donation. The diagnosis of BD is mainly based on careful neurological assessment of patients with an established underlying diagnosis of neurological catastrophe capable of causing BD.Ancillary testing, however, is tremendously helpful in situations when the presence of confounders prevents or delays comprehensive neurological assessment. Traditionally, four-vessel digital subtraction angiography and computed tomography angiography have been used for blood flow (BF) examinations of the brain. The lack of BF in the intracranial arteries constitutes conclusive evidence that the brain is dead. However, there is an apparent discrepancy between the BF and sufficient cerebral perfusion; several studies have shown that in 15% of patients with confirmed clinical diagnosis of BD, BF is still preserved. In these patients, cerebral perfusion is significantly impaired. Hence, measurement of cerebral perfusion rather than BF will provide a more precise assessment of the brain function.In this review article, we discuss a brief history of BD, our understanding of its complex pathophysiology, current Canadian guidelines for the clinical diagnosis of BD, and the ancillary tests-specifically CT perfusion of the brain that help us with the prompt and timely diagnosis of BD.
Correction, uncertainty, and anchoring effects
Authors: Lee Chang-Yuan , Morewedge Carey K. 
Published: July 2023

Abstract
We compare the predictions of two important proposals made by De Neys to findings in the anchoring effect literature. Evidence for an anchoring-and-adjustment heuristic supports his proposal that system 1 and system 2 are non-exclusive. The relationship between psychophysical noise and anchoring effects, however, challenges his proposal that epistemic uncertainty determines the involvement of system 2 corrective processes in judgment.
Murnaghan–Nakayama Rule and Spin Bitrace for the Hecke–Clifford Algebra
Authors: Jing Naihuan , Liu Ning 
Published: July 2023

AbstractA Pfaffian-type Murnaghan–Nakayama rule is derived for the Hecke–Clifford algebra $\mathcal{H}^{c}_{n}$ based on the Frobenius formula and vertex operators, and this leads to a combinatorial version via the tableaux realization of Schur’s $Q$-functions. As a consequence, a general formula for the irreducible characters $\zeta ^{\lambda }_{\mu }(q)$ using partition-valued functions is derived. Meanwhile, an iterative formula on the indexing partition $\lambda $ via the Pieri rule is also deduced. As applications, some compact formulae of the irreducible characters are given for special partitions and a symmetric property of the irreducible character is found. We also introduce the spin bitrace as the analogue of the bitrace for the Hecke algebra and derive its general combinatorial formula. Tables of irreducible characters are listed for $n\leq 7.$
Gβγ subunit signalling underlies neuropeptide Y‐stimulated vasoconstriction in rat mesenteric and coronary arteries
Authors: Lin JinHeng , Scullion Lauren , Garland Christopher J. , Dora Kim 
Published: July 2023

AbstractBackground and PurposeRaised serum concentrations of the sympathetic co‐transmitter neuropeptide Y (NPY) are linked to cardiovascular diseases. However, the signalling mechanism for vascular smooth muscle (VSM) constriction to NPY is poorly understood. Therefore, the present study investigated the mechanisms of NPY‐induced vasoconstriction in rat small mesenteric (RMA) and coronary (RCA) arteries.Experimental ApproachThird‐order mesenteric or intra‐septal arteries from male Wistar rats were assessed in wire myographs for isometric tension, VSM membrane potential and VSM intracellular Ca2+ events.Key ResultsNPY stimulated concentration‐dependent vasoconstriction in both RMA and RCA, which was augmented by blocking NO synthase or endothelial denudation in RMA. NPY‐mediated vasoconstriction was blocked by the selective Y1 receptor antagonist BIBO 3304 and Y1 receptor protein expression was detected in both the VSM and endothelial cells in RMA and RCA. The selective Gβγ subunit inhibitor gallein and the PLC inhibitor U‐73122 attenuated NPY‐induced vasoconstriction. Signalling via the Gβγ–PLC pathway stimulated VSM Ca2+ waves and whole‐field synchronised Ca2+ flashes in RMA and increased the frequency of Ca2+ flashes in myogenically active RCA. Furthermore, in RMA, the Gβγ pathway linked NPY to VSM depolarization and generation of action potential‐like spikes associated with intense vasoconstriction. This depolarization activated L‐type voltage‐gated Ca2+ channels, as nifedipine abolished NPY‐mediated vasoconstriction.Conclusions and ImplicationsThese data suggest that the Gβγ subunit, which dissociates upon Y1 receptor activation, initiates VSM membrane depolarization and Ca2+ mobilisation to cause vasoconstriction. This model may help explain the development of microvascular vasospasm during raised sympathetic nerve activity.
Synthetic Data as a Strategy to Resolve Data Privacy and Confidentiality Concerns in the Sport Sciences: Practical Examples and an R Shiny Application
Authors: Naughton Mitchell , Weaving Dan , Scott Tannath , Compton Heidi 
Published: July 2023

Purpose: There has been a proliferation in technologies in the sport performance environment that collect increasingly larger quantities of athlete data. These data have the potential to be personal, sensitive, and revealing and raise privacy and confidentiality concerns. A solution may be the use of synthetic data, which mimic the properties of the original data. The aim of this study was to provide examples of synthetic data generation to demonstrate its practical use and to deploy a freely available web-based R Shiny application to generate synthetic data. Methods: Openly available data from 2 previously published studies were obtained, representing typical data sets of (1) field- and gym-based team-sport external and internal load during a preseason period (n = 28) and (2) performance and subjective changes from before to after the posttraining intervention (n = 22). Synthetic data were generated using the synthpop package in R Studio software, and comparisons between the original and synthetic data sets were made through Welch t tests and the distributional similarity standardized propensity mean squared error statistic. Results: There were no significant differences between the original and more synthetic data sets across all variables examined in both data sets (P > .05). Further, there was distributional similarity (ie, low standardized propensity mean squared error) between the original observed and synthetic data sets. Conclusions: These findings highlight the potential use of synthetic data as a practical solution to privacy and confidentiality issues. Synthetic data can unlock previously inaccessible data sets for exploratory analysis and facilitate multiteam or multicenter collaborations. Interested sport scientists, practitioners, and researchers should consider utilizing the shiny web application (SYNTHETIC DATA—available at https://assetlab.shinyapps.io/SyntheticData/).
Does the Field of Nature-Inspired Computing Contribute to Achieving Lifelike Features?
Authors: Tzanetos Alexandros 
Published: July 2023

Abstract
The main idea behind artificial intelligence was simple: what if we study living systems to develop new, practical computing systems that possess “lifelike” properties? And that’s exactly how evolutionary computing emerged. Researchers came up with ideas inspired by the principles of evolution to develop intelligent methods to tackle hard problems. The efficacy of these methods made researchers seek inspiration in living organisms and systems and extend the evolutionary concept to other nature-inspired ideas. In recent years, nature-inspired computing has exhibited an exponential increase in the number of algorithms that are presented each year. Authors claim that they are inspired by a behavior found in nature to come up with a lifelike algorithm. However, the mathematical background does not match the behavior in the majority of these cases. Thus the question is, do all nature-inspired algorithms remain lifelike? Also, are there any ideas included that contribute to computing? This study aims to (a) present some nature-inspired methods that contribute to achieving lifelike features of computing systems and (b) discuss if there is any need for new lifelike features.
Comparing high and low energy outcomes on day one for SmartSight myopic-astigmatism treatments with the SCHWIND ATOS: a retrospective case series
Authors: Pradhan Kishore Raj , Arba Mosquera Samuel 
Published: July 2023

Abstract
Background
Impact of low energy asymmetric spacings vs. high energy symmetric spacings on the immediate/early (postoperative day 1 (POD1)) outcomes of SmartSight lenticule extraction for myopic astigmatism with a new femtosecond laser system.

Methods
The first 112 eyes of 56 patients consecutively treated using low energy asymmetric spacings (Group A; Study group) were compared at POD1 to the last 112 eyes of 56 patients consecutively treated using high energy symmetric spacings (Group S; Controls). Mean age of the patients was 28 ± 5 years with a mean spherical equivalent of -4.41 ± 1.76 diopters (D) and a mean magnitude of refractive astigmatism of 0.89 ± 0.82 D.

Results
Laser Energy was -25 ± 1nJ lower for asymmetric treatments (p < .0001); Spot and Track distances were + 0.7 ± 0.1 µm larger and -0.8 ± 0.1 µm tighter for asymmetric treatments, respectively (p < .0001 for both). At POD1, astigmatism was -0.08 ± 0.02D lower for asymmetric treatments (p < .0003); uncorrected and corrected visual acuities (UDVA and CDVA, respectively) were -0.03 ± 0.01logMAR better for asymmetric treatments (p < .0007); differences between postop UDVA and preop CDVA along with change in CDVA were + 0.3 ± 0.1lines better for asymmetric treatments (p < .0003).

Conclusions
Lenticule extraction treatment using SmartSight is safe and efficacious already at POD1. Findings suggest that low energy asymmetric spacings may further improve the immediate and short-term outcomes of SmartSight lenticule extraction in the treatment of myopic astigmatism compared to conventional settings (high energy symmetric spacings).
THE ADEQUACY OF THE MALAYSIAN NATIONAL COMMUNITY POLICY: AN ENDEAVOUR TO ACHIEVE SUSTAINABLE DEVELOPMENT GOALS
Authors: Bin Ridzuan Mohd Rozaimy , Noor Amira Syazwani Abd Rahman  , Norhidayah Md Yusof  
Published: July 2023

The National Community Policy was formulated by the Pakatan Harapan government to mold the people to take care of their shared properties, spaces and facilities. This policy is related to the community development activities where all the community members are urged to participate in improving their standard of living. This study employs the Model of Community Development, Diffusion Theory and Theory of Social Exclusion in order to provide a general framework for this study. Although this policy offers positive impacts to the community, the issues such as the inclusiveness in the definition of “community“, awareness of the people towards the policy and the existence of foreigners in the housing areas may curb the effectiveness of the policy. Therefore, the present study seeks to determine the room for improvements and offer several recommendations in order to strengthen the feasibility of the Malaysian National Community Policy.
Increased job burnout and reduced job satisfaction for nurses compared to other healthcare workers after the COVID-19 pandemic
Authors: Galanis Petros , Moisoglou Ioannis , Katsiroumpa Aglaia , Vraka Irene , Siskou Olga , Konstantakopoulou Olympia , Meimeti Evangelia , Kaitelidou Daphne 
Published: July 2023

Abstract
Background
Nurses experience high levels of job burnout and low levels of job satisfaction, while COVID-19 pandemic has deteriorated working conditions.
Aim
To compare levels of job burnout and job satisfaction among nurses and other healthcare workers after the COVID-19 pandemic. Moreover, we investigated the influence of demographic and job characteristics on job burnout and satisfaction.
Methods
We conducted a cross-sectional study with a convenience sample of 1760 healthcare workers. We collected data during June 2023. Our healthcare workers came from different clinical settings including hospitals, health centers, etc. We used the single item burnout measure to measure levels of burnout among our healthcare workers. Moreover, we used the “Job Satisfaction Survey” to measure levels of satisfaction in our sample.
Results
Nurses experienced moderate and high levels of burnout more often than other healthcare workers. In particular, 91.1% of nurses experienced high levels of burnout, while the respective percentage for the other healthcare workers was 79.9%. Nurses’ satisfaction was lower than other healthcare workers. In particular, 61.0% of nurses experienced low levels of satisfaction, while the respective percentage for the other healthcare workers was 38.8%. Multivariable analysis identified that nurses, healthcare workers with a MSc/PhD diploma, shift workers, and those who considered their workplace as understaffed had higher burnout score and lower satisfaction score. Moreover, we found that clinical experience was associated with increased burnout and decreased satisfaction.
Conclusions
Our results showed that nursing profession was an independent factor of job burnout and job satisfaction. Several other demographic and job characteristics affected burnout and satisfaction. Policy makers, organizations and managers should adopt appropriate interventions to improve work conditions.