bluuebunny/crossref_metadata_2025_split huggingface dataset:
The efficacy of TACE; how can automated feeder software help?
Authors: Abdelsalam Hassan , Emara Doaa M. , Hassouna Ehab M. 
Published: February 2022

Abstract
Background
This is a prospective study of 44 patients having 57 hepatocellular carcinoma (HCC) lesions indicated for transarterial chemoembolization (TACE) and a control group of 41 patients having 55 HCC lesions. TACE in the study group was performed on an angiography machine with an installed automated feeder detection (AFD) software (EmboGuide; Philips Healthcare, Best, The Netherlands) and in the control group was performed on a similar angiography machine (ALLURA XPER FD 20, Philips, Holland), but lacking the AFD software. The aim is to evaluate the clinical utilization of cone-beam CT (CBCT) and (AFD) software in accurate detection of (HCC) arterial feeders, the effect of (AFD) software utilization on the outcome of (TACE) and its utilization effect on fluoroscopy time and radiation dose to the patient during the (TACE) procedure.

Results
The highest percentage of agreement was between the number of arterial feeders detected by EmboGuide and the actual number of feeders detect during embolization reaching 91.2% with p value < 0.001. The residual non-intended non-embolized areas among the study group at 1-month follow-up were found in 2 out of 57 lesions compared to 9 out of 55 lesions in the control group. The average dose-area product (DAP) among the study group was less than that of the control group.

Conclusion
CBCT using AFD software provides more information about tumor feeders with consequent more efficient targeted embolization, higher success rate of TACE and less patient exposure to radiation.
Foliar application of nutrients on medicinal and aromatic plants, the sustainable approaches for higher and better production
Authors: Shahrajabian Mohamad Hesam , Sun Wenli , Cheng Qi 
Published: February 2022

Abstract
Background
The most important advantages of foliar fertilization are to improve plant growth and crop quality, appropriately manage the nutritional status of plants, enhance disease resistance and regulate nutrient deficiencies.

Main body
The aim of this manuscript is to outline and emphasize the importance of foliar application of nutrients in order to increase both quality and yield of medicinal and aromatic plants. The searches focused on publications from 1980 to July 2021 using PubMed, Google Scholar, Science Direct and Scopus databases. The current manuscript presented many examples of potential of foliar application for medicinal and aromatic plants production systems. Foliar application of Fe and Zn on Anise; Se on Atractylodes; Zn sulfate on Basil, Costmary, Mint and Fenugreek; Se and Fe on Stevia; S and P on castor bean; Zn and Fe on Chamomile; Cu, Mg and ZnSO4 on Damask rose; N and P on Fennel; Se on water spinach and tea; K+ and Ca2+ on Thyme; Zn and K on Spearmint; Zn on Saffron, Ni on Pot marigold; Fe on peppermint, N and P on Mustard had positive and significant impacts.

Conclusion
Observed impacts of foliar fertilization consisted of significant increase of yield, enhanced resistance to insects, pests and diseases, improved drought tolerance and escalated crop quality.
From a Reformist Professor to a “Mouthpiece” for Capital: Tsunao Miyajima in an International Context
Authors: Kubo Shin 
Published: February 2022

AbstractTsunao Miyajima (1884–1965), qua economist, has gone unsung among historians of economics; however, his intellectual trajectory merits review in an international context. From the early 1910s to the middle of the1920s, he advocated the labor cause and social reform as a professor in Tokyo and Osaka. However, he converted his stance to its antithesis between the late 1920s and early 1930s, when he was acting as chief of the permanent Japanese employers' delegation to the International Labour Organization in Geneva. Observations on his volte-face, placed in the context of relations with famed economists at the time—such as Émile Waxweiler, Charles Gide, John Bates Clark, and Gustav Cassel—provide insight to a significant episode in the internationalization and international networking in economics and, more broadly, in global intellectual history. Furthermore, particular attention to his objection to the “Eurocentric” organization's attempt to impose minimum wage fixing machinery on and allegations of social dumping in Japan sheds new light on the international development of policy-oriented economics, namely, from the hitherto unheeded perspective of an emerging economy from Asia.
Single motherhood, social independence and non-communicable disease (NCD) outcomes among young females (15-24 years old) in South Africa
Authors: De Wet-Billings Nicole 
Published: February 2022

Background: Non-communicable diseases (NCDs) acquired during youth follow into and affect adulthood. The association between young mother’s social independence and NCD status is of policy interest due to its effect on economic and social development. This study aimed to determine the causal relationship between social independence and NCD outcomes among young, single mothers in South Africa. Methods: Data from the South African National Income Dynamics Survey (NIDS) in 2008 and 2017 was used to determine if single mothers developed hypertension, diabetes or asthma by various indicators of social independence, including highest level of education and employment status. The sample was initially made-up of unmarried females (15-24 years old) without any children in 2008. Both fertility and social independence was followed-up to 2017. Results: In total, 66 young females developed an NCD by 2017 and 87% (n=57) of these women had a child in the interim period. Employment of young females increased from 4.78% in 2008 to 37.79% in 2017, but completion of secondary or tertiary education declined from 67.94% in 2008 to 56.01% in 2017. In addition, half (50.88%) of the young females were partially independent by 2017, with only 11.03% being fully independent at this time. Finally, logistic regression results showed that the likelihood of developing an NCD increased if young females with children were not socially independent. Conclusions: The relationship between social independence and NCDs suggest that policies and programmes in South Africa need to incorporate socioeconomic status as a determinant of disease and in particular, need to address socioeconomic indicators as additive measures and not autonomous indicators.
Dementia palliative care education and training for healthcare professionals: A scoping review protocol
Authors: Hutch William , O' Sullivan Trish , Foley Tony 
Published: February 2022

Background: Global mortality rates from dementia continue to rise. Evidence suggests that there is limited provision of palliative care for people with dementia and this is a cause of grave concern. The coronavirus disease 2019 (COVID-19) pandemic has further exposed the inequalities of care for this vulnerable population. Proactive palliative care, delivered by multidisciplinary healthcare professionals (HCPs), can offer significant benefits to people with dementia. However, little is known about the components of effective education and training for HCPs who care for people with advancing dementia at end of life. Objective: The aim of this scoping review is to identify effective education and training interventions for HCPs, who care for people with advanced dementia approaching end of life. Inclusion criteria: Studies that used a palliative care educational intervention for HCPs working with patients with dementia will be included. Studies that explore undergraduate or postgraduate education and training in dementia palliative care for HCPs will be included. Study designs such as quantitative, qualitative, mixed method studies, and case studies will be included. Methods: The Joanna Briggs Institute (JBI) methodology for scoping reviews will be used for this review. The following databases will be searched: CINAHL, ERIC, Medline, SocIndex, PsycINFO. In addition, grey literature searches will be limited to the first 100 searches using Google Scholar and Open-Grey. Study selection will involve the reviewer screening titles and abstracts. Then, two independent reviewers will further assess the studies in full for those that meet the inclusion criteria. In line with the JBI framework, data will be extracted using a draft data extraction tool. This will facilitate a chronological narrative synthesis of results in line with the study’s overall aim to identify effective education and training interventions for HCPs, who care for patients with dementia, nearing end of life.
Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks
Authors: Ando Tomohiro , Greenwood-Nimmo Matthew , Shin Yongcheol 
Published: February 2022

We develop a new technique to estimate vector autoregressions with a common factor error structure by quantile regression. We apply our technique to study credit risk spillovers among a group of 17 sovereigns and their respective financial sectors between January 2006 and December 2017. We show that idiosyncratic credit risk shocks propagate much more strongly in both tails than at the conditional mean or median. Furthermore, we develop a measure of the relative spillover intensity in the right and left tails of the conditional distribution that provides a timely aggregate measure of systemic financial fragility and that can be used for risk management and monitoring purposes. This paper was accepted by Gustavo Manso, finance.
Data-Driven Dynamic Pricing and Ordering with Perishable Inventory in a Changing Environment
Authors: Keskin N. Bora , Li Yuexing , Song Jing-Sheng 
Published: February 2022

We consider a retailer that sells a perishable product, making joint pricing and inventory ordering decisions over a finite time horizon of T periods with lost sales. Exploring a real-life data set from a leading supermarket chain, we identify several distinctive challenges faced by such a retailer that have not been jointly studied in the literature: the retailer does not have perfect information on (1) the demand-price relationship, (2) the demand noise distribution, (3) the inventory perishability rate, and (4) how the demand-price relationship changes over time. Furthermore, the demand noise distribution is nonparametric for some products but parametric for others. To tackle these challenges, we design two types of data-driven pricing and ordering (DDPO) policies for the cases of nonparametric and parametric noise distributions. Measuring performance by regret, that is, the profit loss caused by not knowing (1)–(4), we prove that the T-period regret of our DDPO policies are in the order of [Formula: see text] and [Formula: see text] in the cases of nonparametric and parametric noise distributions, respectively. These are the best achievable growth rates of regret in these settings (up to logarithmic terms). Implementing our policies in the context of the aforementioned real-life data set, we show that our approach significantly outperforms the historical decisions made by the supermarket chain. Moreover, we characterize parameter regimes that quantify the relative significance of the changing environment and product perishability. Finally, we extend our model to allow for age-dependent perishability and demand censoring and modify our policies to address these issues. This paper was accepted by David Simchi-Levi, Management Science Special Section on Data-Driven Prescriptive Analytics.
6G Technologies – How Can It Help Future Green Business Model Innovation
Authors: Lindgren Peter 
Published: February 2022

In the last few years businesses have been motivated and pushed by governments and global society on innovating and developing Green Business Models. However, Reconfiguring, designing and developing green business models to become efficient and valuing Green Business Models have shown to be much more complex than expected. It includes balancing monetary and non monetary value formulas of business models in symbiosis. Not just for the single business – but for businesses in their entire value network.
This includes security challenges related to securing that green business models really are green – and not based on greenwashing. As green business models demand in long term perspective a very open business model innovation approach, it calls for stronger and new security technologies. Protection of IPR’s of Business Models and businesses competences, so they are not one to one copied with out giving value back to “the Business Model designer” and the rightful original owner of the business models is a major security challenge related to green business models.
Green Business Models and Green business Model Innovation calls therefore for new and more advanced security approach, technologies and understanding. Previous business model innovation security practice and systems cannot fully offer these solutions – but 6G of wide-area wireless security technologies – as an umbrella – gives hope and can potentially play major role with new security technologies supported by AI, AR and blockchain technologies. This evolvement is highly and urgent needed to support the success of our society’s green transformation.
The paper document through Nordic green business model cases some of the above mention security challenges that green business models and green business model innovation stand in front of and need to innovate solutions for. The paper discuss and propose how 6G and related technologies could help.
Modeling of a high-power continuous wave Yb:YAG planar waveguide amplifier under thermal steady-state
Authors: Qu Bo , Wang Sibo , Zhu Zhanda , Hui Yongling , Lei Hong , Li Qiang 
Published: February 2022

The performance of a novel, to the best of our knowledge, high-power Yb:YAG planar waveguide amplifier under thermal steady-state is studied numerically. We present a 3D thermal steady-state amplification model, which considers the effects of temperature on the Boltzmann occupation factors, pump absorption, and laser emission cross sections, in addition to reabsorption and pump saturation of Yb:YAG. The performance of a multipass-pumped planar waveguide amplifier under thermal steady-state was simulated considering the loss in the claddings, and a comparison with the simulated results under the ideal state was carried out. Our analysis results show that the core’s temperature rise and the claddings’ pump absorption lead to decreased pump absorption and optical-optical efficiencies. However, a high pump absorption efficiency (96%) and optical-optical efficiency (61.2%) are achieved when the pump power is 10 kW. Meanwhile, a lower fracture and minor thermal distortion can be expected in reality.
High-repetition-rate krypton tagging velocimetry in Mach-6 hypersonic flows
Authors: Jiang Naibo , Grib Stephen W. , Hsu Paul S. , Borg Matthew , Schumaker S. Alexander , Roy Sukesh 
Published: February 2022

A 100 kHz krypton (Kr) tagging velocimetry (KTV) technique was demonstrated in a Mach-6 Ludwieg tube using a burst-mode laser-pumped optical parametric oscillator system. The single-beam KTV scheme at 212 nm produced an insufficient signal in this large hypersonic wind tunnel because of its low Kr seeding (

≤

5

%

), low static pressure (

∼

2.5

t
o
r
r

), and long working distance (

∼

1

m

). To overcome these issues, a new scheme using two excitation beams was developed to enhance KTV performance. A 355 nm laser beam was combined with the 212 nm beam to promote efficient two-photon Kr excitation at 212 nm, and increase the probability of 2

+

1 resonant-enhanced multiphoton ionization by adding a 355 nm beam. A signal enhancement of approximately six times was obtained. Using this two-excitation beam approach, strong long-lasting KTV was successfully demonstrated at a 100 kHz repetition rate in a Mach-6 flow.
The global gap in treatment coverage for major depressive disorder in 84 countries from 2000–2019: A systematic review and Bayesian meta-regression analysis
Authors: Moitra Modhurima , Santomauro Damian , Collins Pamela Y. , Vos Theo , Whiteford Harvey , Saxena Shekhar , Ferrari Alize J. 
Published: February 2022

Background
The treatment coverage for major depressive disorder (MDD) is low in many parts of the world despite MDD being a major contributor to disability globally. Most existing reviews of MDD treatment coverage do not account for potential sources of study-level heterogeneity that contribute to variation in reported treatment rates. This study aims to provide a comprehensive review of the evidence and analytically quantify sources of heterogeneity to report updated estimates of MDD treatment coverage and gaps by location and treatment type between 2000 and 2019.

Methods and findings
A systematic review of the literature was conducted to identify relevant studies that provided data on treatment rates for MDD between January 1, 2000, and November 26, 2021, from 2 online scholarly databases PubMed and Embase. Cohort and cross-sectional studies were included if treatment rates pertaining to the last 12 months or less were reported directly or if sufficient information was available to calculate this along with 95% uncertainty intervals (UIs). Studies were included if they made use of population-based surveys that were representative of communities, countries, or regions under study. Studies were included if they used established diagnostic criteria to diagnose cases of MDD. Sample and methodological characteristics were extracted from selected studies. Treatment rates were modeled using a Bayesian meta-regression approach and adjusted for select covariates that quantified heterogeneity in the data. These covariates included age, sex, treatment type, location, and choice of MDD assessment tool. A total of 149 studies were included for quantitative analysis. Treatment coverage for health service use ranged from 51% [95% UI 20%, 82%] in high-income locations to 20% [95% UI 1%, 53%] in low- and lower middle-income locations. Treatment coverage for mental health service use ranged from 33% [95% UI 8%, 66%] in high-income locations to 8% [95% UI <1%, 36%] in low- and lower middle-income countries. Minimally adequate treatment (MAT) rates ranged from 23% [95% UI 2%, 55%] in high-income countries to 3% [95% UI <1%, 25%]) in low- and lower middle-income countries. A primary methodological limitation was the lack of sufficient data from low- and lower middle-income countries, which precluded our ability to provide more detailed treatment rate estimates.

Conclusions
In this study, we observed that the treatment coverage for MDD continues to be low in many parts of the world and in particular in low- and lower middle-income countries. There is a continued need for routine data collection that will help obtain more accurate estimates of treatment coverage globally.
Augmenting existing deterioration indices with chest radiographs to predict clinical deterioration
Authors: Mu Emily , Jabbour Sarah , Dalca Adrian V. , Guttag John , Wiens Jenna , Sjoding Michael W. 
Published: February 2022

ImportanceWhen hospitals are at capacity, accurate deterioration indices could help identify low-risk patients as potential candidates for home care programs and alleviate hospital strain. To date, many existing deterioration indices are based entirely on structured data from the electronic health record (EHR) and ignore potentially useful information from other sources.ObjectiveTo improve the accuracy of existing deterioration indices by incorporating unstructured imaging data from chest radiographs.Design, setting, and participantsMachine learning models were trained to predict deterioration of patients hospitalized with acute dyspnea using existing deterioration index scores and chest radiographs. Models were trained on hospitalized patients without coronavirus disease 2019 (COVID-19) and then subsequently tested on patients with COVID-19 between January 2020 and December 2020 at a single tertiary care center who had at least one radiograph taken within 48 hours of hospital admission.Main outcomes and measuresPatient deterioration was defined as the need for invasive or non-invasive mechanical ventilation, heated high flow nasal cannula, IV vasopressor administration or in-hospital mortality at any time following admission. The EPIC deterioration index was augmented with unstructured data from chest radiographs to predict risk of deterioration. We compared discriminative performance of the models with and without incorporating chest radiographs using area under the receiver operating curve (AUROC), focusing on comparing the fraction and total patients identified as low risk at different negative predictive values (NPV).ResultsData from 6278 hospitalizations were analyzed, including 5562 hospitalizations without COVID-19 (training cohort) and 716 with COVID-19 (216 in validation, 500 in held-out test cohort). At a NPV of 0.95, the best-performing image-augmented deterioration index identified 49 more (9.8%) individuals as low-risk compared to the deterioration index based on clinical data alone in the first 48 hours of admission. At a NPV of 0.9, the EPIC image-augmented deterioration index identified 26 more individuals (5.2%) as low-risk compared to the deterioration index based on clinical data alone in the first 48 hours of admission.Conclusion and relevanceAugmenting existing deterioration indices with chest radiographs results in better identification of low-risk patients. The model augmentation strategy could be used in the future to incorporate other forms of unstructured data into existing disease models.
IPTEK bagi Kelompok Pengolah dan Pemasar Perikanan dalam Peningkatan Pemasaran Perikanan di Kabupaten Bantul
Authors: Supriyanto Supriyanto , Anggraini Oktiva 
Published: February 2022

Kegiatan pengabdian ini bertujuan untuk meningkatkan kewirausahaan dan pemahaman e-commerce anggota kelompok pemasar dan pengolah ikan di kabupaten Bantul. Pre survey menunjukkan bahwa mayoritas masyarakat pesisir belum secara kreatif memanfaatkan potensi ikan menjadi diversifikasi makanan yang memiliki daya jual tinggi. Pemasaran hasil olahan perikanan masih terbatas di tingkat lokal, sebagian kecil dipasarkan keluar kabupaten Bantul. Kegiatan ini sebagai salah satu solusi yang ditawarkan tim pengabdi untuk mengatasi kesenjangan pemahaman teknologi informasi di kalangan kelompok pemasar dan pengolah ikan serta rendahnya ketrampilan pemasaran dan kewirausahaan mereka. Metode pelaksanaannya meliputi ceramah, diskusi, praktik dan evaluasi. Model pendekatan yang dilakukan pada program aksi meliputi: 1) Model Partisipatory Rural Appraisal (PRA); 2) Model Entrepreneurship Capacity Building (ECB); dan 3) Model Teknologi Transfer (TT). Selain itu, juga dilakukan program advokasi pendampingan dan pertemuan berkala. Hasil pelaksanaan :1) Program Pengabdian memberi manfaat ekonomis integrated marketing komoditas olahan ikan 2) Metode pendampingan cukup efektif oleh peserta terutama dalam mengenalkan e-commerce. Peserta menyadari bahwa e-commerce bukan semata untuk menunjang pemasaran namun juga untuk pencarian bahan baku, memetakan pasar, mengendalikan stabilitas harga dan memperluas jaringan bisnis.
The semiotics of the human individual in Hegel’s The phenomenology of spirit
Authors: Râmbu Nicolae 
Published: February 2022

Abstract
The concept of experience of consciousness (Erfahrung des Bewußtseins) is a central concept to Hegel’s The phenomenology of spirit. At the same time, it is one of the most difficult to understand for the contemporary reader. Despite the numerous specialized works dedicated to this topic, there is no study dedicated to the semiotic experience of consciousness, to which Hegel devotes memorable pages in The phenomenology of spirit. This contribution aims to highlight the experience of consciousness when its object is represented by the sign or the individual as a system of signs.