bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of compact dual-mode photoelectric modulator with high process tolerance based on vanadium dioxide
Authors: Zhan Qipeng , Pang Haibin , Liao Junneng , Luo Wenlai , Wang Gang , Ren Xingang , Wang Jun , Duan Zongming , Huang Zhixiang , Ding Li 
Published: July 2022

Opto-electro modulators with nanometer-scale footprint are indispensable in integrated photonic electronic circuits. Due to weak light–matter interactions and limits of micro–nano fabrication technology, it is challenging to shrink a modulator to subwavelength size. In recent years, hybrid modulators based on surface plasmons have been proposed to solve this problem. Although the introduced high lossy surface plasmons provide large modulation depth, the polarization selectivity limits its application. Toward this end, in this paper, we present a design of an ultra-compact vanadium oxide (

V
O

2

)-based plasmonic waveguide modulator for both transverse electric (TE) and transverse magnetic (TM) modes. The device consists of two silicon tapers and a silicon waveguide embedded with a

V
O

2

wedge. When electrical signals put on the device change the phase of

V
O

2

from a metal to an insulator, the output optical signals along the waveguide are significantly modulated. For a 1.5 µm length modulator operating at 1.55 µm wavelength, the extinction ratio is 11.62 dB for the TE mode and 8.86 dB for the TM mode, while the insertion loss is 4.31 dB for the TE mode and 4.12 dB for the TM mode. Furthermore, the proposed design has excellent tolerance for fabrication process error, which greatly increases the yield rate of products and indicates a promotable application prospect.
Diversity in HIV epidemic transitions in India: An application of HIV epidemiological metrices and benchmarks
Authors: Kumar Pradeep , Das Chinmoyee , Kumar Arvind , Sahu Damodar , Rai Sanjay K. , Godbole Sheela , Arumugam Elangovan , P. V. M. Lakshmi , Dutta Shanta , Devi H. Sanayaima , Vardhana Rao Mendu Vishnu , Kant Shashi , Pandey Arvind , Reddy Dandu Chandra Sekhar , Mehendale Sanjay , Rajan Shobini 
Published: July 2022

Background
The Joint United Nations Programme on AIDS (UNAIDS) has emphasized on the incidence-prevalence ratio (IPR) and incidence-mortality ratio (IMR) to measure the progress in HIV epidemic control. In this paper, we describe the status of epidemic control in India and in various states in terms of UNAIDS’s recommended metrices.

Method
The National AIDS Control Programme (NACP) of India spearheads work on mathematical modelling to estimate HIV burden based on periodically conducted sentinel surveillance for providing guidance to program implementation and policymaking. Using the results of the latest round of HIV Estimations in 2019, IPR and IMR were calculated.

Results
National level IPR was 0.029 [0.022–0.037] in 2019 and ranged from 0.01 to 0.15 in various States and Union Territories (UTs). Corresponding Incidence-Mortality Ratio was at 0.881 [0.754–1.014] nationally and ranged between 0.20 and 12.90 across the States/UTs.

Conclusions
Based on UNAIDS recommended indicators for HIV epidemic control, namely IPR and IMR; national AIDS response in India appears on track. However, the program success is not uniform and significant heterogeneity as well as expanding epidemic was observed at the level of States or UTs. Reinforcing States/UTs specific and focused HIV prevention, testing and treatment initiatives may help in the attainment of 2030 Sustainable Development Goals of ending AIDS as a public health threat by 2030.
Development of an evidence-based complementary feeding practice module for mothers using the combined Delphi Method
Authors: Andriani Rini , Sjarif Damayanti Rusli , Supriyatno Bambang , Kekalih Aria , Gunardi Hartono , Idris Ika Karlina 
Published: July 2022

Background Malnutrition in infants remains a challenge in Indonesia. Malnutrition often arises as a result of errors in complementary feeding practices. An education module for Indonesian mothers may help them correctly implement complementary feeding practices.
Objective To develop a module on correct complementary feeding practices for infants aged 6-9 months that can be read and understood by Indonesian mothers.
Methods We performed qualitative research using the two-round Delphi method combined with group discussions. The first round listed the most important sub-themes of the module, while the second round sought approval for the module from experts. The Delphi team members were included using purposive and snowball sampling methods. Expert opinions were summarized and rearranged using the Steps for Coding and Theorization (SCAT) method.
Results Ten experts were included in the Delphi team, with a mean duration of work experience of 28.5 (SD 12.37) years. The correct practices for giving complementary foods according to scientific evidence was named the ABC-Makanan PendampingASI/MPASI-Press (“Printed ABC of Complementary Feeding”) module and was summarized into four main topics: timely, adequate, safe, and responsive feeding. This module was made using language, photos, and images that were easily understood by mothers and included the suitable nutritional compositions to meet the needs of infants aged 6-9 months.
Conclusion We developed the ABC-MPASI-Press module based on scientific evidence and experts’ reviews using the combined Delphi method. This educational guide is expected to inform mothers about correct complementary feeding practices for infants aged 6-9 months in order to prevent malnutrition.
Mesenchymal stem cells therapy in children with end-stage kidney disease
Authors: Hidayati Eka Laksmi , Fahlevi Reza , Puspitasari Henny Adriani , Rahmadhany Anisa , Pardede Sudung Oloan 
Published: July 2022

Chronic kidney disease (CKD) is a major health problem worldwide, with increasing incidence and prevalence. While the incidence of CKD in children is relatively low, CKD contributes to major health problems and has many long-term effects.1 Chronic kidney disease is characterized by a gradual decline in kidney function over time. The Kidney Disease Improving Global Outcomes (KDIGO) report defined CKD as an abnormality of renal structure or function with decreased glomerular filtration rate (GFR) that lasts more than three months. Chronic kidney disease is classified into 5 stages based on the GFR value.2 Patients with stage V CKD transition from progressive disease to irreversible, terminal, end-stage kidney disease (ESKD). To date, the standard of ESKD management has been kidney replacement therapy, consisting of hemodialysis (HD), peritoneal dialysis (PD), and/or kidney transplantation. Complexity and cost of kidney care have obvious consequences on the availability of kidney replacement therapy for children, especially in developing countries. Dialysis provides only partial replacement of renal functions, especially clearance and fluid balance, but does not cure the disease. Kidney transplantation is a curative management, but donor availability for pediatric patients remains challenging
Akzeptanz einer Künstlichen Intelligenz als organisatorische Führungskraft: Eine Fragebogenstudie
Authors: Petrat Deborah , Yenice Ilker , Bier Lukas , Subtil Ilka 
Published: July 2022

In Zeiten der digitalen Transformation und in einer zunehmend schnelllebigen Unternehmenslandschaft wird unter Führungskräften zunehmend diskutiert, ob und wie Künstliche Intelligenz (KI) Führungsaufgaben übernehmen oder gar Führungskräfte als solche ersetzen kann. Die vorliegende Arbeit leistet einen ersten Beitrag zu dieser Diskussion, indem sie die Akzeptanz und die Erwartungen der potenziellen Nutzerbasis an den Einsatz von KI‑Technologie in organisatorischen Führungsaufgaben untersucht. Zu diesem Zweck wurden Mitarbeiter und Führungskräfte (N = 74) mittels eines Onlinefragebogens befragt. Dieser stellt drei hypothetische Szenarien vor, in denen KI bestimmte Führungsaufgaben übernimmt, wobei die Szenarien unterschiedliche Ebenen der Interaktion mit potenziellen Nutzern aufweisen. Eine ANOVA-Analyse zeigte, dass die höchsten Akzeptanzwerte unter den Szenarien für KI‑Manager erzielt wurden, die als (digitale) kognitive Assistenten agieren und so Führungskräfte bei der Teambetreuung unterstützen sowie eine datengetriebene Feedbackkultur bieten.
К дискуссии о фокус-группах
Authors: Белановский Сергей Александрович , Никольская Анастасия Всеволодовна 
Published: July 2022

Авторы продолжают обсуждение вопроса о некорректных трактовках метода фокус-групп, поднятого ими в статье «Что не так с фокус-группами», опубликованной в журнале ЭКО № 6 за 2021 г. Метод фокус-групп трактуется ими как групповое глубокое интервью, основанное на технике зондирования (probing). Обсуждается искаженное использование концептов групповой динамики, поляризующей дискуссии, инсайта, проективных методов, анализа невербальных реакций респондентов и др. Поднят вопрос о низком качестве отчетов, основанных на фокус-групповых исследованиях. Отмечается непрозрачность методик проведения фокус-групп и анализа их результатов. Делается вывод о необходимости ясного формулирования методических принципов фокус-групповых исследований и корректировки вузовских программ обучения.

От редакции. Данный текст редакция публикует, невзирая на отрицательные заключения рецензентов, из уважения к опыту авторов. История знает случаи, когда рецензенты заблуждались в отношении научных статей, поэтому редакцией принято решение опубликовать ее, но обращаем внимание читателей, что материал не случайно поставлен в рубрику «Точка зрения».
Мы полагаем важным в рамках академических свобод давать слово разным исследователям даже в ситуациях, когда мнение автора не совпадает с мнением редакции. Надеемся, что данная публикация станет позитивным примером такого подхода, а не ошибкой.
Pathway fractional integral formula involving an extended Mittag–Leffler function
Authors: Khan Adnan , Akhtar Hafiz Muhammad , Nisar K. S. , Suthar D. L. 
Published: July 2022

Abstract
This work discovers the Laplace transform using a generalized pathway fractional integral formula involving an extended Mittag-Leffler function in the kernel for various parameters. Our findings are fairly broad in scope. Some well-known and novel results can also be obtained here.
Traceable machine learning real-time quality control based on patient data
Authors: Zhou Rui , Wang Wei , Padoan Andrea , Wang Zhe , Feng Xiang , Han Zewen , Chen Chao , Liang Yufang , Wang Tingting , Cui Weiqun , Plebani Mario , Wang Qingtao 
Published: July 2022

Abstract

Objectives
Patient-based real-time quality control (PBRTQC) has gained attention as an alternative/integrative tool for internal quality control (iQC). However, it is still doubted for its performance and its application in real clinical settings. We aim to generate a newly and easy-to-access patient-based real-time QC by machine learning (ML) traceable to standard reference data with assigned values by National Institute of Metrology of China (NIM), and to compare it with PBRTQC for clinical validity evaluation.

Methods
For five representative biochemistry analytes, 1,195 000 patient testing results each were collected. After data processing, independent training and test sets were divided. Machine learning internal quality control (MLiQC) was set up by Random Forest in ML and was validated by way of both metrology algorithm traceability and 4 PBRTQC methods recommended by IFCC analytical working group.

Results
MLiQC were established. As an example of albumin (ALB) at the critical bias, the uncertainty of MLiQC was 0.14%, which was evaluated by standard reference data produced by NIM. Compared with four optimal PBRTQC methods at critical bias, the average of the number of patient samples from a bias introduced until detected (ANPed) of MLiQC averagely decreased from 600 to 20. The median and 95 quantiles of NPeds (MNPed and 95NPed) of MLiQC were superior to all optimal PBRTQCs above 90% for all test items.

Conclusions
MLiQC is highly superior to PBRTQC and well-suited in real settings. The validation of the model from two aspects of algorithm traceability and clinical effectiveness confirms its satisfactory performance.
Infinitives of affect and intersubjectivity: on the indexical interpretation of the Finnish independent infinitives
Authors: Visapää Laura 
Published: July 2022

AbstractThis article presents an analysis of the structure and use of the Finnish independent infinitives. Although typological studies have shown that syntactically independent non-finite constructions are widespread in many languages, the understanding of their semantic and intersubjective motivation is still in its early stages. The current paper aims to enrich the understanding of independent non-finite constructions by closely looking at free-standing infinitive constructions in spoken and written Finnish: it combines theoretical concepts of Cognitive Grammar with the methodological tools of Interactional Linguistics to explore the nature of independent infinitives as a resource for conceptualization and the intersubjective functions that it affords. The paper suggests that the fact that independent infinitives are grammatically ungrounded makes them useful in interactional and textual sequences involving affect display. As the indexical functions of infinitives can be explained from their own morphosyntactic and semantic characteristics, the paper makes the more general claim that there is no synchronic evidence that would support the assumption that such constructions ever evolved, via ellipsis, from finite constructions. Methodologically and theoretically, the paper advocates an approach that takes into account both the social and cognitive nature of language, and promotes the view that Cognitive Grammar offers a flexible, semantically rich starting point for the description of intersubjective meanings conveyed by grammar, when combined with the context-sensitive and microanalytical methodology of Interactional Linguistics.
Contingent Power in the 21st Century Against the Backdrop of Hegel’s Philosophy of Right – Trump and Twitter as Two Sides of the Same Coin?
Authors: Paar Elisabeth , Raunigg Nikolas 
Published: July 2022

Abstract
The Owl of Minerva only spreads its wings at dusk. This Hegelian realization might also apply to the last days of Donald Trump in office which brought about many a precedent in the relationship not only between the then President of the United States and its constitution but also between him and his main means of communication: Twitter. The president’s tumultuous communication surrounding the transition of power climaxed in an angry mob storming the Capitol in a vain attempt to – dependent on whose narrative one credits – either restore or abolish democracy. Twitter’s subsequent decision to ban Trump from using its services for arguably inciting or at least condoning the insurrection quickly led to heated discussions rooted in the issue of the allocation of power within contemporary societies. At the core of these discussions lie two central elements: freedom and the (legitimate) power to restrict it. One side argued that the platform operators had infringed Trump’s freedom of speech. In contrast, the other side claimed that abridging Trump’s ability to communicate whatever came to his mind was an inevitable step to protect the American constitutional order and thus liberal democracy. Meanwhile, attention has gradually been focused on the larger underlying issues. One common aspect is that both positions seem to presuppose a concept of freedom that is all too formalistic. On a more abstract level, the events also boil down to a clash of two separate claims to power: Social media operators opposing the head of state’s claim to do as he wishes. Thus, the paper aspires to analyze the sources of legitimacy for the actions taken by platform operators and their respective counterparts. The analysis is based on Hegel’s Philosophy of Right. In particular, Hegel’s understanding of freedom, the ideal state and of possible legitimate sources for universal rules shall be put to use. The first point of contact in Hegel’s Philosophy of Right is his view of the head of state, his relation to the law, especially to the constitution, and to his constituents. Against this backdrop, it shall be determined how power is distributed in Hegel’s state. Then, an attempt shall be made to transfer the underlying ideas and considerations to the power structure and the legitimizing factors as they are laid down in the US Constitution. Furthermore, the paper examines the state’s possibilities to react to possibly problematic behavior of the head of state. The focus will be placed on the possibility of holding them accountable for actions directed against the state itself or its constitutional order. Particularly against the backdrop of the questionable efficacy of impeachment procedures in deeply divided nations, the question arises as to whether private actors can legitimately intervene. Concretely, whether social media operators may legitimately bar heads of state from using their platforms in order to protect the state, the legal system or democracy.
Are extracellular vesicles ready for the clinical laboratory?
Authors: Enderle Daniel , Noerholm Mikkel 
Published: July 2022

Abstract
The diagnostic potential of exosomes and extracellular vesicles (EVs) for liquid biopsies was first demonstrated over a decade ago, but despite a lot of progress in the scientific field there are still very few applications of EVs that are ready for implementation in clinical laboratories for routine diagnostic use. Despite good options for routine isolation of EVs and a wide analyte target space for assay development (incl. RNA, DNA, proteins and intact EVs) assessable by standard detection technologies, the attrition rate in translating biomarker reports in the academic literature to clinical assays is very high. While there are examples of successful development, the largest obstacle to increased clinical utilization is the lack of good biomarkers that can withstand rigid clinical validation, and which make use of the EVs’ unique capabilities as a biomarker platform.
On computation of the reduced reverse degree and neighbourhood degree sum-based topological indices for metal-organic frameworks
Authors: Ravi Vignesh , Desikan Kalyani 
Published: July 2022

Abstract
Metal-organic frameworks (MOFs) are permeable substances with a high porosity volume, excellent chemical stability, and a distinctive shape created by strong interactions between metal ions and organic ligands. Work on the synthesis, structures, and properties of numerous MOFs demonstrates their usefulness in a variety of applications, including energy storage devices with good electrode materials, gas storage, heterogeneous catalysis, and chemical assessment. The physico-chemical characteristics of the chemical compounds in the underlying molecular graph or structure are predicted by a topological index, which is a numerical invariant. In this article, we look at two different metal-organic frameworks in terms of the number of layers, as well as metal and organic ligands. We compute the reduced reverse degree-based topological indices and some closed neighbourhood degree sum-based topological indices for these frameworks.
Study of industrial interactive design system based on virtual reality teaching technology in industrial robot
Authors: Liu Ying , Kukkar Ashima , Shah Mohd Asif 
Published: July 2022

Abstract
Across numerous disciplines, virtual reality (VR) had been used to aid decision-making in training, design, and evaluation processes. Both the educational and industrial groups have contributed to a vast knowledge based on a variety of VR topics during the last two decades. VR has been expanded to industry in recent years, but the majority of its applications do not involve industrial robots. To study the application of VR technology in industrial design, it is better to combine the design activities with computer-integrated manufacturing system and bring new opportunities for the innovation of industrial design. Therefore, in this article, an application of industrial interactive design system based on VR technology in the education domain is explored. First, the function and scheme design of industrial robot assembly and adjustment system are designed, and the model is established. Finally, SolidWorks and 3DsMAX are selected as three-dimensional model development tools. Unity 3D is used as the VR development engine; HTC VIVE is used as VR equipment. The study shows that the design of the machine motion instruction interpreter is effective, and the specific steps of the system to realize real-time control are also given. The feasibility of the system is verified through the analysis of typical applications of industrial robots.
Aqueix Caught in the Middle. A Demonstrative Choice Task Study of Catalan Demonstratives
Authors: Todisco Emanuela , Rocca Roberta , Wallentin Mikkel 
Published: July 2022

AbstractRecent studies using the Demonstrative Choice Task (DCT), where participants pair words with a demonstrative with no additional context, have shown that this choice is influenced by word semantics. Here, we applied the DCT to Catalan. We aimed at replicating previous findings and assessing how semantic factors play out in Catalan. We focused specifically on the second termaqueix(that), currently falling out of use. We hypothesized that its residual use would be influenced by the semantic factorvalence, due to a hypothesized derogatory meaning. We also explored whether its use differed across varieties (Central Catalan versus Balearic Catalan). Our results replicate previous findings from English and Spanish on the role ofmanipulability,valenceand psychological proximity to theselfin preferences for proximal versus distal forms, reinforcing the hypotheses that these factors underlie demonstrative choices in the DCT, cross-linguistically. The use ofaqueixwas overall infrequent, highlighting the ongoing reduction of Catalan demonstratives from a three- to a two-term system. No significant association betweenvalenceandaqueixwas found, but a small unpredicted effect fortaste/smellindicated an increased use ofaqueix. Frequency in the use ofaqueix, but not semantic factors driving its use, differed across peninsular and insular speakers.
How Do Different Brand Equity Measures Affect Long-Term Promotional Effectiveness?
Authors: Shi Yuying 
Published: July 2022

Abstract
Studies on the relationship between brand equity and long-term promotional effectiveness have many issues. Brand equity measures can be classified as either consumer-based (CB) or firm-based (FB) measures. Previous literature has mostly focused on one or the other type of measure, mostly due to computational difficulties or data limitations, making it difficult to determine whether the results can be generalized to all types of measure. In addition, long-term promotional effectiveness remains a debatable issue due to complicated long-term effects. Our study is the first to include both CB and FB brand equity measures in a long-term promotional effectiveness study. Using weekly scanner data in the breakfast category covering a three-year period, we are able to compute a variety of popular operationalizations of brand equity measures by employing the aggregate demand model and capture total long-term effects via the persistence model. Our major finding is that the general consensus that higher brand equity generates higher promotional effectiveness applies only to typical FB measures—not CB measures. Moreover, we show a positive accumulated long-term effectiveness and an absence of permanent effects for all our brands. These results offer new insights into the differentiation of major brand equity measures and long-term promotional effectiveness.