bluuebunny/crossref_metadata_2025 huggingface dataset:
Effective multi-objective inverse lithography technology at full-field and full-chip levels with a hybrid dynamic priority algorithm
Authors: Wei Pengzhi , Li Yanqiu , Li Zhaoxuan , Yuan Miao , Li Zen , Wang Cheng Cheng , Li Ang , Qiao Lei , Yang He
Published: May 2023

Inverse lithography technology (ILT), such as source mask optimization (SMO), is used to improve lithography performance. Usually, a single objective cost function is selected in ILT, and an optimal structure for one field point is achieved. The optimal structure is not the case for other images at full field points where the aberrations of the lithography system are different, even in high-quality lithography tools. The optimal structure that must match the high-performance images at the full field is urgently required for extreme ultraviolet lithography (EUVL). In contrast, multi-objective optimization algorithms (MOAs) limit the application of multi-objective ILT. Assigning target priority is incomplete in current MOAs, which results in the over-optimization of some targets and under-optimization of others. In this study, multi-objective ILT and a hybrid dynamic priority (HDP) algorithm were investigated and developed. High-performance images with high fidelity and high uniformity were obtained at multi-field and multi-clip areas across the die. A hybrid criterion was developed for the completion and reasonable prioritization of each target to ensure sufficient improvement. Compared to the current MOAs, the uniformity of images at full-field points was improved by up to 31.1% by the HDP algorithm in the case of multi-field wavefront error-aware SMO. The multi-clip source optimization (SO) problem showed the universality of the HDP algorithm to deal with different ILT problems. It acquired higher imaging uniformity than existing MOAs, which indicated that the HDP is more qualified for multi-objective ILT optimization than existing MOAs.
Modeling and calibration of micro/nano FBG temperature probe for scanning probe microscopy
Authors: Liu Zhenmin , Chen Na , Li Shaoying , Liu Yong , Shang Yana , Chen Zhenyi , Pang Fufei , Wang Tingyun
Published: May 2023

To accurately measure the local temperatures of the micro-nano area, we propose an optical method using a tapered fiber Bragg grating (FBG) probe with a nano tip for scanning probe microscopy (SPM). When the tapered FBG probe senses local temperature through near-field heat transfer, the intensity of the reflected spectrum decreases, along with a broadening bandwidth and a shift in the central peak position. Modeling the heat transfer between the probe and the sample shows that the tapered FBG probe is in a non-uniform temperature field when approaching the sample surface. Simulation of the probe’s reflection spectrum reveals that the central peak position shifts nonlinearly with increasing local temperature. In addition, the near-field temperature calibration experiments show that the temperature sensitivity of the FBG probe increases nonlinearly from 6.2 pm/°C to 9.4 pm/°C as the sample surface temperature increases from 25.3°C to 160.4°C. The agreement of the experimental results with the theory and the reproducibility demonstrate that this method offers a promising approach for exploring micro-nano temperature.
Mask information-based gamma correction in fringe projection profilometry
Authors: Song Huixin , Kong Lingbao
Published: May 2023

For fringe projection profilometry (FPP), the gamma effect of the camera and projector will cause non-sinusoidal distortion of the fringe patterns, leading to periodic phase errors and ultimately affecting the reconstruction accuracy. This paper presents a gamma correction method based on mask information. Since the gamma effect will introduce higher-order harmonics into the fringe patterns, on top of projecting two sequences of phase-shifting fringe patterns having different frequencies, a mask image is projected to provide enough information to determine the coefficients of higher-order fringe harmonics using the least-squares method. The true phase is then calculated using Gaussian Newton iteration to compensate for the phase error due to the gamma effect. It does not require projecting a large number of images, and only 2 × 3 phase shift patterns and 1 mask pattern minimum are required. Simulation and experimental results demonstrate that the method can effectively correct the errors caused by the gamma effect.
Generation of Joule-level green bursts of nanosecond pulses from a DPSSL amplifier
Authors: Mason Paul , Barrett Hugh , Banerjee Saumyabrata , Butcher Thomas , Collier John
Published: May 2023

A new approach to generation of a burst of high-energy green pulses by placing a high-energy multi-slab Yb:YAG DPSSL amplifier and SHG crystal inside a regenerative cavity is presented. In a proof-of-concept test, stable generation of a burst of six green (515 nm) pulses, each 10 ns in duration and separated by 29.4 ns (34 MHz), with 2.0 J total energy has been demonstrated at 1 Hz from a non-optimized ring cavity design. A maximum individual green pulse energy of 580 mJ was produced from a 1.78 J circulating infrared (1030 nm) pulse (average fluence 0.9 J/cm2), corresponding to a SHG conversion efficiency of 32%. Experimental results have been compared with predicted performance from a simple model. Efficient generation of a burst of high energy green pulses offers an attractive pump source for Ti:Sa amplifiers, providing the potential to reduce the impact of amplified stimulated emission by reducing instantaneous transverse gain.
Plasmonic-enhanced efficiency of AlGaN-based deep ultraviolet LED by graphene/Al nanoparticles/graphene hybrid structure
Authors: Jiang Nianlei , Chen Yang , Lv Bingchen , Jiang Ke , Zhang Shanli , Lu Shunpeng , Li Shaojuan , Tao Tao , Sun Xiaojuan , Li Dabing
Published: May 2023

The AlGaN-based deep ultraviolet light-emitting diode (DUV LED) has advantages of environmentally friendly materials, tunable emission wavelength, and easy miniaturization. However, the light extraction efficiency (LEE) of an AlGaN-based DUV LED is low, which hinders its applications. Here, we design a graphene/Al nanoparticles/graphene (Gra/Al NPs/Gra) hybrid plasmonic structure, where the strong resonant coupling of local surface plasmons (LSPs) induces a 2.9-times enhancement for the LEE of the DUV LED according to the photoluminescence (PL). The dewetting of Al NPs on a graphene layer by annealing is optimized, resulting in better formation and uniform distribution. The near-field coupling of Gra/Al NPs/Gra is enhanced via charge transfer among graphene and Al NPs. In addition, the skin depth increment results in more excitons being coupled out of multiple quantum wells (MQWs). An enhanced mechanism is proposed, revealing that the Gra/metal NPs/Gra offers a reliable strategy for improving the optoelectronic device performance, which might trigger the advances of LEDs and lasers with high brightness and power density.
Variation analysis of photonic lantern mode control ability under mode oscillation: a new approach
Authors: Zhao Xinrui , Liu Jie , Wang Biao , Fu Xihong , Dong Yijia , Lin Xingchen , Ning Yongqiang , Wang Lijun , Zhu Hongbo
Published: May 2023

In this Letter, we present a novel, to the best of our knowledge, image-based approach to analyze the mode control ability of a photonic lantern employed in diode laser beam combining, aiming to achieve a stable beam output. The proposed method is founded on theories of power flow and mode coupling and is validated through experiments. The findings demonstrate that the analysis of the beam combining process is highly reliable when the main mode component of the output light is the fundamental mode. Moreover, it is experimentally demonstrated that the mode control performance of the photonic lantern significantly influences the beam combining loss and the fundamental mode purity. In the essence of the variation-based analysis, a key advantage of the proposed method is its applicability even in the situation of a poor combined beam stability. The experiment only requires the collection of the far-field light images of the photonic lantern to characterize the model control ability, achieving an accuracy greater than 98%.
Investigating the potential of packed cell volume for deducing hemoglobin: Cholistani camels in perspective
Authors: Farooq Umer , Idris Musadiq , Sajjad Nouman , Lashari Mushtaq Hussain , Ahmad Shahbaz , Rehman Zia Ur , Rashid Haroon , Mahmood Aisha , Hameed Sajid
Published: May 2023

In human medical practice, a hematological rule of three has been validated for healthy human populations. One such formula is estimating hemoglobin (Hb) levels as 1/3rd of Packed Cell Volume (PCV). However, no such hematological formulae have been devised and validated for veterinary medical practice. The present study was devised with an aim to evaluate the relationship between hemoglobin (Hb) concentration and Packed Cell Volume (PCV) in camels (n = 215) being reared under pastoralism, and to devise a simple pen-side hematological formula for estimation of Hb from PCV. The PCV was determined through microhematocrit method whereas Hb estimation by cyanmethaemoglobin method (HbD). The Hb was also calculated as 1/3rd of PCV and was dubbed as calculated Hb (HbC). Overall HbD and HbC were significantly (P≥0.05) different. Similar results were attained for all study groups i.e. males (n = 94) and females (n = 121), and young (n = 85) and adult (n = 130) camels. The corrected Hb (CHb) was deduced through regression prediction equation attained from linear regression model. Scatterplots were drawn, linear regression was carried out, and Bland Altman chart was built for agreement of both methods of Hb estimation. A non-significant (P≥0.05) difference was noticed between HbD and CHb. Bland Altman agreement analysis revealed satisfactory agreement between HbD and CHb and the data was distributed closely around the mean difference line (Mean = 0.1436, 95% CI = 3.00, -2.72). A simplified pen-side hematological formula for deducing Hb concentration from PCV is accordingly recommended viz. Hb concentration (g/dL) = 0.18(PCV)+5.4 for all age and gender groups of camels instead of its calculation as one-third of PCV.
Social Prescribing Outcomes for Trials (SPOT): Protocol for a modified Delphi study on core outcomes
Authors: Esfandiari Elham , Chudyk Anna M. , Grover Sanya , Lau Erica Y. , Hoppmann Christiane , Mortenson W. Ben , Mulligan Kate , Newton Christie , Pauly Theresa , Pitman Beverley , Rush Kathy L. , Sakakibara Brodie M. , Symes Bobbi , Tsuei Sian , Petrella Robert J. , Ashe Maureen C.
Published: May 2023

Purpose

This is a study protocol to co-create with knowledge users a core outcome set focused on middle-aged and older adults (40 years+) for use in social prescribing research.

Methods

We will follow the Core Outcome Measures in Effectiveness Trials (COMET) guide and use modified Delphi methods, including collating outcomes reported in social prescribing publications, online surveys, and discussion with our team to finalize the core outcome set. We intentionally center this work on people who deliver and receive social prescribing and include methods to evaluate collaboration. Our three-part process includes: (1) identifying published systematic reviews on social prescribing for adults to extract reported outcomes; and (2) up to three rounds of online surveys to rate the importance of outcomes for social prescribing. For this part, we will invite people (n = 240) who represent the population experienced in social prescribing, including researchers, members of social prescribing organizations, and people who receive social prescribing and their caregivers. Finally, we will (3) convene a virtual team meeting to discuss and rank the findings and finalize the core outcome set and our knowledge mobilization plan.

Conclusion

To our knowledge, this is the first study designed to use a modified Delphi method to co-create core outcomes for social prescribing. Development of a core outcome set contributes to improved knowledge synthesis via consistency in measures and terminology. We aim to develop guidance for future research, and specifically on the use of core outcomes for social prescribing at the person/patient, provider, program, and societal-level.
Surgical outcome and predictors of neonates with esophageal atresia admitted at Tikur Anbesa Specialized Hospital
Authors: Moges Natnael , Ahmed Kassaye , Birhanu Dires , Belege Fekadesellasie , Dimtse Asrat , Kerebeh Gashaw , Kassa Belayneh Dessie , Geta Kumlachew , Oumer Keder Essa , Zewde Edgeit Abebe , Dessie Anteneh Mengist , Anley Denekew Tenaw , Demis Solomon , GebreEyesus Fisha Alebel , Bantie Berihun
Published: May 2023

Background

Esophageal atresia (EA) with or without tracheoesophageal fistula (TEF) is the most common congenital anomaly of the esophagus. This anomaly continues to cause considerable morbidity and mortality in Sub-Saharan Africa, presenting various concerns about how to treat esophageal atresia. Esophageal atresia-related neonatal mortality can be reduced by evaluating the surgical outcome and identifying associated factors.

Objective

This study aimed to assess the surgical outcome and identify predictors of neonates with esophageal atresia admitted at Tikur Anbesa specialized hospital.

Methods

Retrospective crossectional study design was employed on 212 neonates with esophageal atresia who were undergone surgical intervention in Tikur Anbesa specialized hospital. Data were entered into epi data 4.6 and exported to Stata version 16 software for further analysis. A logistic regression model with Adjusted odds ratio (AOR), confidence interval (CI) and p-value <0.05 were used to identify predictors of poor surgical outcome of neonates with esophageal atresia.

Result

In this study, 25% of newborns who underwent surgical intervention at TikurAbnbesa specialized hospital had successful surgical outcomes, compared to 75% of neonates with esophageal atresia who had poor surgical outcomes. Significant predictors of the poor surgical outcome of neonates with esophageal atresia were severe thrombocytopenia (AOR = 2.81(1.07–7.34)), timing of surgery (AOR = 3.7(1.34–10.1), aspiration pneumonia (AOR = 2.93(1.17–7.38)) and related abnormalities (AOR = 2.26(1.06–4.82)).

Conclusion

The results of this study showed that, when compared to other studies, a substantial percentage of newborn children with esophageal atresia had poor surgical outcomes. Early surgical management, aspiration pneumonia and thrombocytopenia prevention and therapy play a big part in improving the surgical prognosis for newborns with esophageal atresia.
Evolutionary game study on multi-agent value co-creation of service-oriented digital transformation in the construction industry
Authors: Wang Shiming , Su Hui , Hou Qiang
Published: May 2023

The service-oriented digital transformation of the construction industry is a development trend of cross-border industrial integration and transformation and upgrading in the digital economy environment, and collaborative value creation among stakeholders is seen as a strategic imperative to promote this process. This study aims to achieve efficient collaborative value co-creation and accelerate the digital transformation process of the construction industry by exploring the collaborative strategies and evolution laws of value co-creators in the digital service ecosystem of the construction industry. Based on evolutionary game theory and methods, this paper analyzes the evolutionary stability strategies and conditions of each participant in the service-oriented value chain at different stages of the digital transformation of the construction industry. It is found that with the improvement of the level of digitalization, the degree of cooperation among game players continues to increase until a stable state of full cooperation is achieved. The initial willingness of the game players to cooperate accelerates the speed of the system’s evolution to the stable state of full cooperation in the middle stage of digital transformation. Additionally, the improvement of the construction process digitalization level can subvert the evolution result of full non-coordination caused by a low initial willingness to cooperate. The research conclusions and corresponding countermeasures and suggestions can provide a strategic reference for the service-oriented digital transformation of the construction industry.
Chromosome-scale genome sequence assemblies of the ‘Autumn Bliss’ and ‘Malling Jewel’ cultivars of the highly heterozygous red raspberry (Rubus idaeus L.) derived from long-read Oxford Nanopore sequence data
Authors: Price R. Jordan , Davik Jahn , Fernandéz Fernandéz Felicidad , Bates Helen J. , Lynn Samantha , Nellist Charlotte F. , Buti Matteo , Røen Dag , Šurbanovski Nada , Alsheikh Muath , Harrison Richard J. , Sargent Daniel James
Published: May 2023

Red raspberry (Rubus idaeus L.) is an economically valuable soft-fruit species with a relatively small (~300 Mb) but highly heterozygous diploid (2n = 2x = 14) genome. Chromosome-scale genome sequences are a vital tool in unravelling the genetic complexity controlling traits of interest in crop plants such as red raspberry, as well as for functional genomics, evolutionary studies, and pan-genomics diversity studies. In this study, we developed genome sequences of a primocane fruiting variety (‘Autumn Bliss’) and a floricane variety (‘Malling Jewel’). The use of long-read Oxford Nanopore Technologies sequencing data yielded long read lengths that permitted well resolved genome sequences for the two cultivars to be assembled. The de novo assemblies of ‘Malling Jewel’ and ‘Autumn Bliss’ contained 79 and 136 contigs respectively, and 263.0 Mb of the ‘Autumn Bliss’ and 265.5 Mb of the ‘Malling Jewel’ assembly could be anchored unambiguously to a previously published red raspberry genome sequence of the cultivar ‘Anitra’. Single copy ortholog analysis (BUSCO) revealed high levels of completeness in both genomes sequenced, with 97.4% of sequences identified in ‘Autumn Bliss’ and 97.7% in ‘Malling Jewel’. The density of repetitive sequence contained in the ‘Autumn Bliss’ and ‘Malling Jewel’ assemblies was significantly higher than in the previously published assembly and centromeric and telomeric regions were identified in both assemblies. A total of 42,823 protein coding regions were identified in the ‘Autumn Bliss’ assembly, whilst 43,027 were identified in the ‘Malling Jewel’ assembly. These chromosome-scale genome sequences represent an excellent genomics resource for red raspberry, particularly around the highly repetitive centromeric and telomeric regions of the genome that are less complete in the previously published ‘Anitra’ genome sequence.
Investigating the effectiveness of electronically delivered cognitive behavioural therapy (e-CBTi) compared to pharmaceutical interventions in treating insomnia: Protocol for a randomized controlled trial
Authors: Zhu Yiran , Stephenson Callum , Moghimi Elnaz , Jagayat Jasleen , Nikjoo Niloofar , Kumar Anchan , Shirazi Amirhossein , Patel Charmy , Omrani Mohsen , Alavi Nazanin
Published: May 2023

Background

Insomnia is one of the most prevalent sleep disorders characterized by an inability to fall or stay asleep. Available treatments include pharmacotherapy and cognitive behavioural therapy for insomnia (CBTi). Although CBTi is the first-line treatment, it has limited availability. Therapist-guided electronic delivery of CBT for insomnia (e-CBTi) offers scalable solutions to enhance access to CBTi. While e-CBTi produces comparable outcomes to in-person CBTi, there is a lack of comparison to active pharmacotherapies. Therefore, direct comparisons between e-CBTi and trazodone, one of the most frequently prescribed medications for insomnia, is essential in establishing the effectiveness of this novel digital therapy in the health care system.

Objective

The aim of this study is to compare the effectiveness of a therapist-guided electronically-delivered cognitive behavioural therapy (e-CBTi) program to trazodone in patients with insomnia.

Methods

Patients (n = 60) will be randomly assigned to two groups: treatment as usual (TAU) + trazodone and TAU + e-CBTi for seven weeks. Each weekly sleep module will be delivered through the Online Psychotherapy Tool (OPTT), a secure, online mental health care delivery platform. Changes in insomnia symptoms will be evaluated throughout the study using clinically validated symptomatology questionnaires, Fitbits, and other behavioural variables.

Results

Participant recruitment began in November 2021. To date, 18 participants have been recruited. Data collection is expected to conclude by December 2022 and analyses are expected to be completed by January 2023.

Conclusions

This comparative study will improve our understanding of the efficacy of therapist-guided e-CBTi in managing insomnia. These findings can be used to develop more accessible and effective treatment options and influence clinical practices for insomnia to further expand mental health care capacity in this population.

Trial registration

ClinicalTrials.gov (NCT05125146).
Role of cardiovascular magnetic resonance imaging and cardiopulmonary exercise test in predicting composite clinical outcomes in patients with hypertrophic cardiomyopathy
Authors: Hwang Ji-won , Lee Sang-Chol , Kim Darae , Kim Jihoon , Kim Eun Kyoung , Chang Sung-A. , Park Sung-Ji , Kim Sung Mok , Choe Yeon Hyeon , Park Seung Woo
Published: May 2023

We aimed to evaluate the additive value of cardiovascular magnetic resonance imaging (CMR) and cardiopulmonary exercise test (CPET) to predict clinical outcomes in patients with HCM. We enrolled 373 patients with HCM and normal left ventricular systolic function who underwent CPET and CMR. The primary outcome was a clinical composite of all-cause death, cardiac transplantation, stroke, heart failure requiring hospitalization and defibrillator implantation. During a follow-up of 70.70 ± 30.74 months, there were 84 composite clinical events. Peak oxygen consumption during CPET was significantly lower (18.51±13.25 vs. 24.59±13.28 mL/kg/min, p < 0.001) and abnormal hemodynamic response to exercise was more frequently detected (41.7 vs. 20.8%, p<0.001) in the group with composite clinical events. The extent of late gadolinium enhancement was larger in the event group (15.39±10.53 vs. 11.97±9.53%LV, p<0.001). Selective parameters were added stepwise to conventional clinical parameters; the final model, where CPET and CMR parameters were added, was verified to have the highest increment value for clinical outcome prediction (p<0.001). This study demonstrated that CPET and CMR findings may be important clinical tools for risk stratification in HCM. Exercise capacity was an independent predictor of composite outcomes in patients with HCM, with incremental value as a risk factor when added to the alleged parameters. These findings could help physicians monitor and manage patients with HCM in the real clinical field.
Impacts of the novel coronavirus SARS-CoV-2 on wildlife behaviour via human activities
Authors: Uehara Haruka , Nishiyama Wakana , Tatsuzawa Shirow , Wada Keiji , Ida Takashi Y. , Yusa Yoichi
Published: May 2023

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused the pandemic of the coronavirus disease 2019 (COVID-19), resulting in a global lockdown in 2020. This stagnation in human activities (‘anthropause’) has been reported to affect the behaviour of wildlife in various ways. The sika deer Cervus nippon in Nara Park, central Japan, has had a unique relationship with humans, especially tourists, in which the deer bow to receive food and sometimes attack if they do not receive it. We investigated how a decrease and subsequent increase in the number of tourists visiting Nara Park affects the number of deer observed in the park and their behaviour (bows and attacks against humans). Compared with the pre-pandemic years, the number of deer in the study site decreased from an average of 167 deer in 2019 to 65 (39%) in 2020 during the pandemic period. Likewise, the number of deer bows decreased from 10.2 per deer in 2016–2017 to 6.4 (62%) in 2020–2021, whereas the proportion of deer showing aggressive behaviour did not change significantly. Moreover, the monthly numbers of deer and their bows both corresponded with the fluctuation in the number of tourists during the pandemic period of 2020 and 2021, whereas the number of attacks did not. Thus, the anthropause caused by the coronavirus altered the habitat use and behaviour of deer that have continuous interactions with humans.
Culturally Sustaining Pedagogies in Music Education: Expanding Culturally Responsive Teaching to Sustain Diverse Musical Cultures and Identities, Emily Good-Perkins (2021)
Authors: Dillon Jonathan Edan
Published: May 2023

Review of: Culturally Sustaining Pedagogies in Music Education: Expanding Culturally Responsive Teaching to Sustain Diverse Musical Cultures and Identities, Emily Good-Perkins (2021)

New York and London: Routledge, 159 pp.,

ISBN 978-0-36756-819-1, h/bk, $170.00

ISBN 978-0-36756-822-1, p/bk, $52.95

ISBN 978-1-00309-947-5, e-book, $52.95
Developing fieldwork experiences in popular music: Reflections and opportunities
Authors: Kladder Jonathan , Cummings Ian
Published: May 2023

In music teacher education in the United States, fieldwork experiences are often required for teacher certification and historically served as a platform for preservice music teachers to develop content and pedagogical knowledge as they transition to being professional music teachers. Instrumental music education fieldwork experiences remain largely siloed in band and orchestra contexts, while limited researchers have sought to investigate popular music education (PME) fieldwork experiences. As a duoethnography, this article highlights the lived experiences of two popular music educators in the creation of a new popular music fieldwork experience in a small town in the northeastern region of the United States. The authors suggest expanding undergraduate music education to include learner-led and democratic teaching practices in PME classrooms and increase popular music pedagogies in music teacher preparation curricula.
Increase in patriotic entrepreneurship in Ukraine and Poland as a result of Russian invasion in 2022
Authors: Sułkowski Łukasz , Ignatowski Grzegorz , Stopczyński Bartłomiej , Trębska Joanna
Published: May 2023

The aim of the paper is to examine the significance of the war in Ukraine for patriotic entrepreneurship in both Poland and Ukraine.
The methods are semi-structured interviews with entrepreneurs and an online survey conducted among participants coming from both countries, who were introduced to the main elements that make up the concept of patriotic entrepreneurship. Both quantitative and qualitative research indicated that there is no significant impact of the Russian-Ukrainian war on inclinations related to patriotic entrepreneurship among Polish entrepreneurs, while there is such an impact among Ukrainian entrepreneurs. While patriotic entrepreneurship can be one of the important motivations for managerial and employee actions, the noticeable impact of war on it was only in the country where hostilities are taking place. The research limitation was the lack of representativeness of the sample. The research should be repeated after the war. It would also be useful to continue the research on the representative study.
Morphology and selected properties of NR/BR/CNT nanocomposites effect of ethanol-assisted mixing
Authors: Zhang Juzheng , Gu Zheng , Meng Chao , Wang Jianfa , Sui Jinyong
Published: May 2023

Carbon nanotubes (CNT) and ethanol-assisted mixing were used to obtain composites based on a mixture of natural rubber and butadiene rubber (NR/BR 80/20). The structure of the composites was determined by Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM). Thermal aging tests were also carried out and the vulcanization process was characterized. SEM confirmed the homogeneous dispersion of CNTs in the polymer matrix. Improvements in tensile and tear strength as well as thermal stability were also achieved.
Divan Şiirinde Miʻrâciyye Kasideleri -Tespit ve Tahlil
Authors: GÖKTAŞ Mehmet
Published: May 2023

Bu çalışmada, Türk İslâm edebiyatı kapsamında dinî türler arasında zikredilen miʻrâciyyeler üzerine Reyhan Keleş tarafından yazılmış eser incelenmiştir. Türk İslâm edebiyatı geniş bir alan olmakla beraber yazar, çalışmasını divan şiiri ve kaside nazım şekli ile sınırlandırmıştır. Farklı nazım şekilleri ve hatta mensur eserler olarak da yazılan miʻrâc mevzuunun hem bir dinî-edebî tür olarak, hem de kaside nazım şekli ile sınırlandırılıp incelenmesi konunun her türlü ayrıntıya yer verebilmesine imkân sağlamıştır. Toplam 725 sayfa olan oldukça kapsamlı bu eserin özellikle konuya ilgi duyan araştırmacılara katkı sunduğu/sunacağı aşikârdır.
Concepções privatistas na esfera pública estatal: Uma análise da “Matriz Nacional Comum de Competências do Diretor Escolar”
Authors: Morgan Karine Vichiett
Published: May 2023

Este artigo apresenta uma análise do conceito de diretor escolar desejável, presente no texto da “Matriz Nacional Comum de Competências do Diretor Escolar” – documento aprovado pelo Conselho Nacional de Educação que aguarda homologação do Ministério da Educação, cujo conteúdo tem o objetivo de definir as competências dos dirigentes escolares de escolas públicas e privadas de todo o país – e nos discursos de dois importantes aparelhos privados de hegemonia que atuam no campo educacional brasileiro: a Fundação Itaú Social e o Instituto Unibanco. Para tanto, o estudo utilizou-se de análise documental e análise de conteúdo, a partir das quais foi possível observar que há uma convergência consistente entre os atores acima citados no que tange ao conceito analisado. O texto da matriz e os documentos analisados trazem a ideia do gestor, ancorada em premissas enunciadas pela Nova Gestão Pública, predominantemente gerenciais, meritocráticas e uniformizadoras.
“It’s a pain, but it’s not like the end of the world”: Students’ experiences of emergency remote teaching
Authors: Ruegg Rachael
Published: May 2023

A chasm exists between pre-COVID online learning literature, focusing on teachers and students who have chosen online teaching and learning, and post-COVID literature, in which teaching and learning are forced online. This research focuses on students’ experiences of the move to online learning, the strategies they employed and their overall perceptions of differences between face-to-face and online learning. A single semi-structured interview was conducted with 16 students at the end of the semester in which learning was migrated online. When the learning was moved online, the students were all 3 weeks into their second year of a bachelor’s degree in the humanities and social sciences. The interview data was collected soon after the students completed these courses and analysed using thematic analysis. Generally, the findings of this study support other post-COVID studies, finding that students who were required to study online had more negative experiences than positive ones. Students who are enrolled in full-time face-to-face qualifications also appear to have different needs from those who choose to study online. Students felt that they would have benefited from more structure during emergency remote teaching, such as synchronous learning experiences scheduled at a fixed time.
Implications for practice or policy:

Lecturers should conduct lectures synchronously in emergency online learning for on-campus students.
Teaching staff should include their faces in recorded instruction in asynchronous online modes.
Teaching staff should offer tests in alternative formats rather than avoiding them in online learning.
Universities should prioritise tutorials, workshops and laboratories in face-to-face mode over lectures in hybrid education.
Hypercritical deformed Hermitian-Yang–Mills equation revisited
Authors: Chu Jianchun , Lee Man-Chun
Published: May 2023

In this paper, we study the hypercritical deformed Hermitian-Yang–Mills equation on compact Kähler manifolds and resolve two conjectures of Collins–Yau [Moment maps, nonlinear PDE, and stability in mirror symmetry, preprint (2018), https://arxiv.org/abs/1811.04824].
circ_0004904 regulates the trophoblast cell in preeclampsia via miR-19b-3p/ARRDC3 axis
Authors: Cao Chenyuan , Cui Jie , Liu Guiling
Published: May 2023

Circular RNAs have been demonstrated to act as vital participants in various diseases, including preeclampsia (PE). This study aimed to research the effects of circ_0004904 on PE. The contents of circ_0004904, microRNA-19b-3p (miR-19b-3p) and arrestin domain containing 3 (ARRDC3) were quantified by quantitative real-time PCR and western blot. The 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide and 5-ethynyl-2′-deoxyuridine assays were enforced to assess cell proliferation. The transwell assay and flow cytometry were applied to detect the cell migration, invasion, and apoptosis. The liaison between miR-19b-3p and circ_0004904 or ARRDC3 was demonstrated by dual-luciferase reporter assay. Thereafter, circ_0004904 and ARRDC3 were augmented, and miR-19b-3p was restrained in PE. Circ_0004904 silencing contributed to cell proliferation, migration, and invasion, but restrained cell apoptosis in trophoblast cells. Further, miR-19b-3p was a target of circ_0004904, and miR-19b-3p could target ARRDC3. Additionally, circ_0004904 accelerated PE evolution via changing ARRDC3 level by binding to miR-19b-3p. In all, circ_0004904 encouraged PE progress via miR-19b-3p/ARRDC3 axis.
An iterative approach using Sawi transform for fractional telegraph equation in diversified dimensions
Authors: Kapoor Mamta , Khosla Samanyu
Published: May 2023

In the present study, 1D, 2D, and 3D fractional hyperbolic telegraph equations in Caputo sense have been solved using an iterative method using Sawi transform. These equations serve as a model for signal analysis of electrical impulse transmission and propagation. Along with a table of Sawi transform of some popular functions, some helpful results on Sawi transform are provided. To demonstrate the effectiveness of the suggested method, five examples in 1D, one example in 2D, and one example in 3D are solved using the proposed scheme. Error analysis comparing approximate and exact solutions using graphs and tables has been provided. The proposed scheme is robust, effective, and easy to implement and can be implemented on variety of fractional partial differential equations to obtain precise series approximations.
Uzaktan Eğitim Sürecinin Ortaöğretim Öğretmenlerinin Görüşlerine Göre Değerlendirilmesi
Authors: EMİNOĞLU KÜÇÜKTEPE Seval , KARBEYAZ Ali Samed , ÇAM Neslihan , NİATİ Masoud
Published: May 2023

Bu araştırmanın amacı, pandemi döneminde uzaktan eğitim sürecinin ortaöğretim öğretmenleri görüşlerine göre çeşitli değişkenler açısından değerlendirilmesidir. Araştırmaya İstanbul’da görev yapan463 gönüllü öğretmen katılmıştır. Araştırmada uzaktan eğitime yönelik öğretmen görüşlerinin alınması için nicel yöntem kullanılmıştır. Araştırmada öğretmenlerin görüşlerini almak için anket formu kullanılmıştır. Araştırma sonucunda öğretmenlerin uzaktan eğitim ile gerçekleştirdikleri derslerin niteliksiz olduğunu, uzaktan eğitim yolu ile işledikleri derslerin yüz yüze telafilerinin yapılması gerektiğini, verdikleri dersin uzaktan eğitim ile gerçekleştirilmesine uygun olmadığını düşündükleri saptanmıştır. Mesleki ve teknik liselerdeki meslek dersleri öğretmenlerinin fen bilimleri dersleri, sosyal bilimler dersleri ve uygulamalı dersler (resim, müzik ve beden eğitimi) öğretmenlerine göre uzaktan eğitimle gerçekleştirilen derslerin yüz yüze telafilerinin yapılması gerektiğini daha fazla düşündükleri belirlenmiştir. Yine öğretmenlerin uzaktan eğitim sürecinde sınavların uzaktan gerçekleştirilmesinin uygun olmadığını, uzaktan eğitim sürecinde öğrencilerin öğretim programındaki kazanımlara ulaşamadığını, uzaktan eğitim nedeni ile öğretim programlarında düzenleme yapılması gerektiğini düşündükleri saptanmıştır. Öğretmenlerin uzaktan eğitim sürecinde öğretim programındaki kazanımlara ulaşabilmesi ile ilgili cinsiyete göre anlamlı fark bulunurken, diğer alt problemlerde anlamlı bir fark bulunamamıştır. Ayrıca öğretmenlerin uzaktan eğitimin gelecekte eğitim sisteminin ayrılmaz bir parçası olacağını düşünürken pandemi sonrasında uzaktan eğitim uygulamalarının devam etmesi gerekmediğini düşündükleri belirlenmiştir. Alanyazında yapılan çalışmalar dikkate alındığında ortaöğretim öğretmenlerinin uzaktan eğitim ile ilgili görüşlerine yönelik çalışmaların yetersiz olduğu tespit edildiğinden bu çalışma önemli görülmektedir.
Optimization of the C4.5 Algorithm Using Particle Swarm Optimization and Discretization in Predicting the Results of English Premier League Football Matches
Authors: Fuadi Muhammad Bahyul Anwar , Alamsyah Alamsyah
Published: May 2023

Football is one of the most popular sports. One of the most competitive football competitions is the English Premier League. This study aims to determine the prediction of the results of the football match in English Premier League. The prediction results in the form of home win, away win, and draw. This prediction uses data mining techniques, namely using the C4.5 algorithm as a classification algorithm with Particle Swarm Optimization as a feature selection method and Discretization as a preprocessing method. The dataset used was obtained from the football-data.co.uk website for four league seasons from the 2017/2018 season to the 2020/2021 season with a total of 1,520 instances. In this study, a comparison was made to the methods used to determine the increase in accuracy obtained. Based on ten times the data mining process, the final result of the best accuracy from using the C4.5 algorithm is 57.24%, then the C4.5 algorithm with Discretization gets an accuracy of 65.13%, and the C4.5 algorithm with Discretization and Particle Swarm Optimization gets accuracy of 71.05%. The conclusion is that the use of Discretization and Particle Swarm Optimization can improve the performance of the C4.5 algorithm in predicting the results of English Premier League matches with an increase in accuracy of 13.81%.
Implementation of Fuzzy Inference System with Best-Worst Method for Cost Efficiency on Amazon Web Services
Authors: Prastiwi Annisya Dira , Putra Anggyi Trisnawan
Published: May 2023

This study aims to reduce the cost of using computing services on AWS. Cost reduction is needed because there is a possibility that the total cost of using cloud services exceeds the estimated budget. One type of EC2 that offers a large discount is the Spot Instance. The downside of this type of EC2 is that AWS reserves the right to stop it at any time. The proposed solution is an automation system to select and run EC2 Spot Instance types based on price, discount, amount of memory, and vCPU usage from previous instances. The automation system is built with the implementation of fuzzy inference system and Best-Worst Method (BWM). All input data is obtained using the Boto3 SDK. System deployment is done in Lambda functions. This Lambda function is automatically executed whenever a Spot Instance is terminated by AWS. The EventBridge service will catch the event and then trigger the Lambda to run. System testing was run for 4 (four) days with event simulation using the Send Events feature. From these tests it is known that the automation system can select the appropriate instance and generate a total cost of $3.85 (USD). After calculating the total cost with regular EC2 estimation (On Demand), the cost is reduced by 71.28%. This number proved to be 4.28% greater than previous similar studies.
Chaotic Whale Optimization Algorithm in Hyperparameter Selection in Convolutional Neural Network Algorithm
Authors: Ridho Akhmad , Alamsyah Alamsyah
Published: May 2023

In several previous studies, metaheuristic methods were used to search for CNN hyperparameters. However, this research only focuses on searching for CNN hyperparameters in the type of network architecture, network structure, and initializing network weights. Therefore, in this article, we only focus on searching for CNN hyperparameters with network architecture type, and network structure with additional regularization. In this article, the CNN hyperparameter search with regularization uses CWOA on the MNIST and FashionMNIST datasets. Each dataset consists of 60,000 training data and 10,000 testing data. Then during the research, the training data was only taken 50% of the total data, then the data was divided again by 10% for data validation and the rest for training data. The results of the research on the MNIST CWOA dataset have an error value of 0.023 and an accuracy of 99.63. Then the FashionMNIST CWOA dataset has an error value of 0.23 and an accuracy of 91.36.
Implementation of Naïve Bayes Method with Certainty Factor for Disease and Pest Diagnosis on Onion Plants
Authors: Alamudin Yahya , Arifudin Riza
Published: May 2023

Shallots can be regarded as non-substituted, which is a plant that is used as a food seasoning and herbal medicine. Every year, the demand for shallots is increasing. But along with the ever-increasing demand, it is inversely proportional to the lack of availability. The cause of this is the lack of knowledge about shallot cultivation, including pest and disease disturbances. The purpose of this research is to help farmers diagnose early diseases and pests that attack shallot plants. With the presence of these pests and diseases, a system that contains knowledge from an expert is needed to diagnose early symptoms experienced by plants. In this study, the authors created an expert system for the diagnosis of diseases and pests on shallot plants. Researchers used the Naïve Bayes method as a classification method for each selected symptom. Then the Certainty Factor as a method of determining the value of confidence in the diagnosis results in the first method. In this study, it produced an accuracy rate of 97%.
Implementation of Synthetic Minority Oversampling Technique and Two-phase Mutation Grey Wolf Optimization on Early Diagnosis of Diabetes using K-Nearest Neighbors
Authors: Arsyadani Fathan , Purwinarko Aji
Published: May 2023

Abstract. Diabetes is a disease attacking the endocrine system characterized by high blood sugar levels. International Diabetes Federation (IDF) estimates that there were 451 million people with diabetes globally in 2017. Without treatment, this number is expected to rise to 693 million by 2045.  One method for preventing increases in the number of diabetics is by early diagnosis. In an era where technology has developed rapidly, early diagnosis can be made with the machine learning method using classification. In this study, we propose a diabetes classification using K-Nearest Neighbors (KNN). Before classifying the data, we select the best feature subset from the dataset using Two-phase Mutation Grey Wolf Optimization (TMGWO) and balance the training data using Synthetic Minority Oversampling Technique (SMOTE). After dividing the dataset into training and testing sets using 10-fold cross validation, we reached an accuracy of 98.85% using the proposed method.
Purpose: This study aims to understand how to apply TMGWO and SMOTE to classify the early stage diabetes risk prediction dataset using KNN and how it affects the results.
Methods/Study design/approach: In this study, we use TMGWO to make a feature selection on the dataset, K-fold cross validation to split the dataset into training and testing sets, SMOTE to balance the training data, and KNN to perform the classification. The desired results in this study are accuracy, precision, recall, and f1-score.
Result/Findings: Performing classification using KNN with only features selected by TMGWO and balancing the training data using SMOTE gives an accuracy rate of 98.85%. From the results of this research, it can be concluded that the proposed algorithm can give higher accuracy compared to previous studies.
Novelty/Originality/Value: Implementing TMGWO to perform feature selection so the model can perform classification with fewer features and implementing SMOTE to balance the training data so the model can better classify the minority class. By doing classification using fewer features, the model can perform classification with a shorter computational time compared to using all features in the dataset.
The Moderating Effect of Technology Attitude on the Relationship between Math Self-Efficacy and Attitudes towards Mathematics
Authors: Emata Charlyn
Published: May 2023

The study examined whether math self-efficacy significantly affects attitudes towards mathematics.  It also explored the moderating effect of technology attitude on the link between mathematics self-efficacy and attitudes towards mathematics.  A total of 174 Science, Technology and Engineering (STE) students (79 males and 95 females) of Tagum City National High School participated in the study.  Three (3) valid and reliable instruments were used to assess students’ level of math self-efficacy, technology attitude, and attitudes towards mathematics.  Results show that the level of math self-efficacy, and attitudes towards math of the STE students is moderate.  Moreover, the level of technology attitude of the students is high.  There is a significant relationship between math self-efficacy and attitudes towards math.  However, there is no significant relationship between technology attitude and attitudes towards mathematics.  The negative moderating effect of technology attitude on the relationship between math self-efficacy and attitudes towards math is established.
Mathematical Creative Thinking Ability Viewed by Adversity Quotient in Problem-Based Learning Integrated STEM
Authors: Hidayah Khoiriyatul , Dwijanto Dwijanto
Published: May 2023

The purposes of this study were (1) to know the average test results of students' mathematical creative thinking abilities with the Problem-Based Learning integrated STEM to achieve the standard of minimum completeness of mastery learning and classical mastery; (2) to find out students' creative thinking abilities with Problem-Based Learning integrated STEM is better than students' creative thinking abilities with Discovery Learning models; (3) to find out students' mathematical creative thinking ability increase in Problem-Based Learning integrated STEM; and (4) to determine and describe the effect of Adversity Quotient on students' mathematical creative thinking ability in the Problem-Based Learning integrated STEM. The method used was a mixed method with a sequential explanatory design. In this research, 6 research subjects were taken based on the level of Adversity Quotient in the experimental class. Research results show that (1) the average test results for students' mathematical creative thinking ability using the Problem-Based Learning integrated STEM achieved the standard of minimum completeness of mastery learning and classical mastery; (2) students' creative thinking abilities with the Problem-Based Learning integrated STEM are better than students' creative thinking abilities with Discovery Learning models; (3) there was an increase in students' mathematical creative thinking skills in the Problem-Based Learning integrated STEM model; (4) there is an influence of the Adversity Quotient on students' mathematical creative thinking abilities in the Problem-Based Learning integrated STEM; S-1, S-2, S-3, S-4, and S-5 are not yet able to fulfill the four indicators of mathematical creative thinking ability, and S-6 fulfills the four indicators of mathematical creative thinking ability
Kenne ich meine Geschäftspartner?
Authors: Loizenbauer Franz
Published: May 2023

Die Arbeitswelt kennt schon seit langer Zeit keine Grenzen mehr. Die neuen Kommunikations- und Transportmöglichkeiten haben die Geschäftsabwicklung wesentlich verändert. Telefon, Telefax, Fernschreiber, die erste E-Mail wurde vor mehr als 50 Jahren verschickt. Neben der üblichen Form der mobilen Warenzustellung gibt es neuerdings auch die Ablieferung durch Drohnen. Aufgrund der einhergehenden, zunehmenden Anonymisierung von Geschäftsbeziehungen versucht der vorliegende Beitrag, Lösungen anzubieten, um möglichen Problemen dieser Interaktionen vorzubeugen und Unsicherheiten zu reduzieren, damit der mögliche Schaden für das eigene Unternehmen begrenzt wird.