bluuebunny/crossref_metadata_2025 huggingface dataset:
Building Emotional Awareness and Mental Health (BEAM): Study protocol for a randomized controlled trial of the BEAM App-based program for mothers of children 18-36 months.
Authors: Xie Elisabeth Bailin , Simpson Kaeley M. , Reynolds Kristin , Giuliano Ryan Jeffrey , Protudjer Jennifer , Soderstrom Melanie , Sauer-Zavala Shannon , Giesbrecht Gerald , Lebel Catherine , MacKinnon Anna L. , Rioux Charlie , Penner-Goeke Lara , Freeman Makayla , Salisbury Marlee R. , Tomfohr-Madsen Lianne , Roos Leslie E
Published: March 2022

Background: The prevalence of maternal depression and anxiety has increased during the COVID-19 pandemic and pregnant individuals are experiencing concerningly elevated levels of mental health symptoms worldwide. Many individuals may now be at heightened risk of postpartum mental health disorders. There are significant concerns that a cohort of children may be at-risk for impaired self-regulation and mental illness due to elevated exposure to perinatal mental illness. With both an increased prevalence of depression and limited availability of services due to the pandemic, there is an urgent need for accessible eHealth interventions for mothers of young children. The aims of this trial are to evaluate the efficacy of the Building Emotion Awareness and Mental Health (BEAM) app-based program for reducing maternal depression symptoms (primary outcome) and improving anxiety symptoms, parenting stress, family relationships, and mother and child functioning (secondary outcomes) compared to treatment as usual (TAU). Methods: A two-arm randomized controlled trial (RCT) with repeated measures will be used to evaluate the efficacy of the BEAM intervention compared to TAU among a sample of 140 mothers with children aged 18 to 36 months, who self-report moderate-to-severe symptoms of depression and/or anxiety. Individuals will be recruited online and those randomized to the treatment group will participate in 10 weeks of psychoeducation modules, an online social support forum, and weekly group teletherapy sessions. Assessments will occur at 18-36 months postpartum (pre-test, T1), immediately after the last week of the BEAM intervention (post-test, T2), and at 3 months after the intervention (follow-up, T3). Discussion: eHealth interventions have the potential to address elevated maternal mental health symptoms, parenting stress, and child functioning concerns during and after the COVID-19 pandemic and to provide accessible programming to mothers who are in need of support. This RCT will build on an open pilot trial of the BEAM program and provide further evaluation of this evidence-based intervention. Findings will increase our understanding of depression in mothers with young children and reveal the potential for long-term improvements in maternal and child health and family well-being.
Global relationships between musical, linguistic, and genetic diversity
Authors: Passmore Sam , Wood Anna L C , Barbieri Chiara , Shilton Dor , Daikoku Hideo , Atkinson Quentin , Savage Patrick E.
Published: March 2022

Music and language are both universal but diverse cultural traits shaped by cultural and biological evolution. However, there is disagreement on the relationships between music, language, and human history. Some argue that musical and linguistic similarities trace ancient migrations of people and their cultures, while others argue that they primarily reflect more recent contact between neighboring societies and local micro-evolution independent of population migration. Previous direct comparisons of musical, genetic, and linguistic diversity were restricted to small regional samples that gave conflicting results. Here, we analyze global patterns of diversity from newly public global databases containing over 5,000 traditional songs with standardized “Cantometric” codings and genomic profiles from over 4,000 individuals. We directly compare musical, linguistic, and genetic diversity for a subset of 152 matched societies (represented by 1,054 songs, genomic profiles of 1,719 individuals, and 152 languages). For both genes and music, differences within groups are greater than those between groups, but musical differences between groups are approximately three times greater than genetic differences. Song style and basic vocabulary both show relatively weak relationships with each other and with genetic distance and geographic proximity, in contrast to the much stronger relationships found between genes and geography. Thus, to our surprise, our findings suggest that music and language are weak proxies for human migrations.
A comparison of developmental and traditional measures of weight suppression in residential patients with bulimia nervosa
Authors: Wong Valerie , Singh Simar , Lowe Michael R
Published: March 2022

Objective: Weight suppression (WS) is associated with many eating disorder (ED) related outcomes. However, traditional calculations of WS do not consider the age or height at which one’s highest past weight was reached, even though individuals with EDs usually reach their highest past weight while still developing physically. Lowe et al. (2021) found that a developmentally-sensitive index of WS, developmental weight suppression (DWS), is associated with a wider variety of ED-related outcomes compared to traditional weight suppression (TWS). The current study aimed to replicate and extend findings from this study in a larger sample of individuals with bulimia nervosa at a residential ED treatment center. Method: We examined the relations between each WS measure and ED symptoms, as well as broader emotional symptoms (e.g., anxiety, depression). We also examined how each WS measure related to weight history variables.Results: TWS and DWS showed a similar number of relations with ED-related outcomes. However, DWS showed consistent, positive relations with behavioral outcomes (e.g., vomiting), and consistent, negative relations with cognitive/affective outcomes (e.g., weight and eating concerns). TWS was positively related to highest premorbid, highest postmorbid, and lowest postmorbid weights. DWS was also positively related to highest premorbid zBMI, but was negatively related to lowest and highest postmorbid zBMI and current zBMI.Conclusions: Our findings suggest that the nature of relations between DWS and ED-related symptoms may be both similar to, and fundamentally different from, TWS’ relation to key features of BN, depending on which characteristics are examined.
KINERJA KEPALA SEKOLAH MENENGAH PERTAMA DI ERA REVOLUSI INDUSTRI 4.0
Authors: ADIYONO ADIYONO
Published: March 2022

Dalam buku ini membahas tentang kontribusi seleksi dan kompensasi terhadap kinerja kepala sekolah menengah pertama. Seleksi kepala sekolah memegang peranan pen ting dalam mewujudkan kepala sekolah yang berkualitas. Kualitas kepala sekolah diawali dari proses seleksi. Pemimpin dalam lembaga pendidikan harus dapat memberikan kontribusi terhadap kinerja kepala sekolah untuk mencapai tujuan bersama. Faktor lain yang juga dapat memberikan kontribusi terhadap kinerja kepala sekolah adalah pemberian kompensasi. Kompensasi merupakan segala sesuatu yang diterima dapat berupa fisik maupun nonfisik dan harus dihitung dan diberikan kepada seseorang, dalam hal komplek dan sulit karena melibatkan kelayakan, logika, rasional, dan dapat dipertanggungjawabkan. Penulis menyadari bahwa buku ini masih jauh dari kesempurnaan. Oleh karena itu kritik dan saran yang membangun sangat dibutuhkan guna penyempurnaan buku ini. Akhir kata saya berharap Allah Swt berkenan membalas segala kebaikan semua pihak yang telah membantu
The Landscape of Social Protection Programmes in Nepal
Authors: Maharjan Nabin , Acharya Saroj , Thapa Sandhya
Published: March 2022

Stimulating social protection programmes have a greater impact on the lives of people. More than 80 social protection programmes are being implemented by the Government of Nepal. The development partners, bilateral and multilateral agencies have been assisting the government for a long time however, the gap is realised in the programme integration and lack of inter-ministerial cooperation to set the results. 12 federal ministries are regulating social protection programmes through provincial and local governments. Some programmes have similar nature and might have certain duplication in beneficiaries, thus leaving the eligible ones excluded from the support. Based on the information gathered from year-wise reports of federal ministries, government line ministries, and various development partners, set the priority areas to enhance sufficient programme strategies for better social protection coverage. This article highlights the federal social protection schemes and programmes that are scattered, the status of beneficiaries, social accountability, and identifies the challenges faced by beneficiaries and the justification of the requirement on an integrated social protection framework.
ADEQUATE USE OF NITROGEN ASSOCIATED WITH MOLYBDENUM IN CRAMBE CROP
Authors: Silva Tiago Roque Benetoli da , Brand˜ão Andressa Gomes , Secco Deonir , Santos Reginaldo Ferreira , Zaratin Alves Charline , Marins Araceli Ciotti
Published: March 2022

Crambe is serving as alternative oilseed for biodiesel production, however, there are still impediments to commercial expansion because need more information about adequate fertilization. The study aimed evaluating adequate nitrogen rate applied in topdressing, associated with leaf molybdenum in crambe crop under field conditions. Treatments were four nitrogen rates (0, 40, 80 and 120 kg N ha-1) and two rates of leaf molybdenum (0, 80 g ha-1) in a 4 x 2 factorial under randomized complete block design experiment with four replications. Parameters evaluated were shoot dry matter, thousand grains weight, grain yield and oil content in the seed. There was no significant influence of treatments on thousand grains mass. Nitrogen rates linearly increased dry matter shoots and oil content. Grain yield growth as nitrogen increased. When molybdenum was used, grain yield increased significantly when compared to the absence of nutrient application.
Keywords: Nitrogen fertilizer; leaf molybdenum; oilseed.
 
Uso adequado do nitrogênio associado ao molibdênio no cultivo de crambe
 
RESUMO: O Crambe é uma oleaginosa que serve como alternativa para a produção de biodiesel, porém, ainda existem impedimentos à expansão comercial, pois são necessárias mais informações sobre a fertilização adequada. O estudo teve como objetivo avaliar a dose adequada de nitrogênio aplicada em cobertura, associada ao molibdênio foliar na cultura do crambe em condições de campo. Os tratamentos foram quatro doses de nitrogênio (0, 40, 80 e 120 kg N ha-1) e duas doses de molibdênio foliar (0, 80 g ha-1) em esquema fatorial 4 x 2 em delineamento de blocos ao acaso com quatro repetições. Os parâmetros avaliados foram matéria seca da parte aérea, massa de mil grãos, rendimento de grãos e teor de óleo na semente. Não houve influência significativa dos tratamentos na massa de mil grãos. As doses de nitrogênio aumentaram linearmente a matéria seca da parte aérea e o teor de óleo. Houve incremento da produtividade de grãos com o aumento do nitrogênio. Quando o molibdênio foi utilizado, a produtividade de grãos aumentou significativamente em relação à ausência de aplicação desse nutriente.
Palavras-chave: Adubação nitrogenada; molibdênio via foliar; oleaginosa.
Bibliometric Analysis of Nano-Sized Agricultural Waste Brake Pads Research During 2018-2022 Using VOSviewer
Authors:   Departemen Pendidikan Kimia, Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi no. 229, Bandung 40154, Jawa Barat, Indonesia, Deni Sahar , Nandiyanto Asep
Published: March 2022

The agricultural brake pad is one solution to reduce the danger of using asbestos in-vehicle systems. This research aims to conduct bibliometric analysis in nano-sized agricultural waste brake pads by combining mapping analysis using VOSviewer software. Application reference manager used to obtain research data. The data received results from a search based on the keyword “Brake pads, Nano-sized, Agricultural waste.” The search results found 1000 relevant published articles in 2018-2022. The results showed that research on nano-sized agricultural waste brake pads has been increasing through the year, and research continues with a high number of publications in early 2022. This study demonstrates the importance of bibliometric analysis in analyzing data on what phenomena happen. This research is expected to help and become a reference for researchers in conducting and determining the research themes.
Modelling the Effects of Unconventional Monetary Policy in a Heterogeneous Monetary Union
Authors:   Lomonosov Moscow State University, Kolesnik Sofya ,   RANEPA, Dobronravova Elizaveta ,   Lomonosov Moscow State University,   RANEPA
Published: March 2022

This paper focuses on the effects of the ECB’s unconventional monetary policy on the member countries of the euro area. The analysis is based on a Global VAR model, which allows to take into account mutual influences of processes in the countries of the currency union. Identification of unconventional monetary policy shock is conducted using a shadow interest rate which reflects changes in economic agents’ expectations following the announcement of unconventional monetary policy measures. The model is estimated using data for the euro area from 2007 to 2018 and covers all of the key instances of implementation of unconventional measures by the ECB. The results show that expansionary policy leads to a significant rise in output and prices in the euro area. Additionally, the effects of unconventional monetary policy are heterogeneous across countries: the response to unconventional monetary policy shock is insignificant in countries that are strongly affected by the crisis, and the effectiveness of the measures varies across countries with different levels of banking sector capitalisation. It was also found that the efficiency of unconventional monetary policy measures against deflation depends upon spillovers of the interaction between core and periphery countries in the monetary union.
Dynamic Stochastic General Equilibrium Model with Multiple Trends and Structural Breaks
Authors:   Bank of Russia, Ivashchenko Sergey ,   Institute of Regional Economy Studies,   Financial Research Institute
Published: March 2022

This paper constructs a dynamic stochastic general equilibrium model with various trends for each GDP by expenditure component and structural breaks. The model is estimated on the sample of 20 Russian time series from 2000Q1 to 2020Q4. It produces high-quality out-of-sample forecasts that outperform autoregressive models. Production efficiency shocks explain more than half of the variance of key variables (both conditional and unconditional). The version with structural breaks produces much better median-based forecasting measures and almost the same mean-based forecasting measures due to significant errors near structural breaks. Various inflation measures respond similarly to monetary policy shocks, but differently to other shocks.
Forecasting Unemployment in Russia Using Machine Learning Methods
Authors:   Lomonosov Moscow State University, Dzhunkeev Urmat ,   RANEPA
Published: March 2022

In this paper, we forecast the dynamics of unemployment in Russia using several machine learning methods: random forest, gradient boosting, elastic net, and neural networks. The scientific contribution of this paper is threefold. First, along with feed-forward, fully connected neural networks, we use sequence-to-sequence model recurrent neural networks, which take the time-series structure of the sample dataset into account. Second, in addition to univariate long short-term memory models, we include additional macroeconomic indicators in order to estimate multivariate recurrent neural networks. Third, the model evaluation process considers revisions of statistical information in real-time datasets. In order to increase the model’s predictive performance, we use additional unstructured indicators: search queries and news indices. Relative to the structural model of unemployment dynamics, the mean absolute forecast error for one month ahead is reduced by 65%, to 0.12 percentage points of the unemployment rate in the recurrent neural networks and long short-term memory models, and by 56%, to 0.14 percentage points in the modified gradient boosting algorithms. When accounting for revisions of statistical information, further reduction of the root-mean-square error by the models proposed is revealed, which highlights the importance of accounting for possible changes in the calculation of the values of macroeconomic indicators.
A Potential Solution to Assess the Absorbed Dose at Any Point in Breast During Digital Breast Tomosynthesis (DBT) Imaging Using a Novel Monte Carlo Simulation Software
Authors: Nakamura Tokiko , Nakamura Tokiko , Kato Hideki , Suzuki Shoichi , Niroshani Sachila , Kobayashi Ikuo , Kato Kyoichi , Negishi Toru , Irie Ryusuke
Published: March 2022

Estimating the average glandular dose (AGD) from a mammographic exam is essential for assessing radiation-induced cancer risk. In this study, we propose Mdec-Toki Monte Carlo Method with the aim of visualizing the dose distribution of the entire breast under different arbitrary glandularities, compressed thicknesses, and exposure parameters and evaluating the absorbed dose at an arbitrary point. A phantom with 50% glandularity values was used for the optically stimulated luminescence (OSL) dosimeters measurements to obtain the percentage depth dose PDD from the incident surface to the emission surface. Using the Mdec-Toki method under the same settings as those used for actual measurements and PDD was used to calculate the AGD. The PDD and AGD at an arbitrary point, obtained from Mdec-Toki method simulations and the actual measurements using OSL were similar. The proposed method may be adapted to individual patients and can support radiation safety management during mammography.
Naupliar morphology as related to the taxonomy of the Cyclops scutifer group (Crustacea, Copepoda: Cyclopidae)
Authors: Streletzkaya E.A.
Published: March 2022

Morphology of nauplii is studied in specimens of the Cyclops scutifer group, mainly from lakes of North-Eastern Russia. The revealed variability testifies to the species heterogeneity of the group.
Versuch einer textlinguistischen Analyse ausgewählter deutschsprachiger Testamente des Königlich Preußischen Adels aus dem 17. Jahrhundert
Authors: Owsiński Piotr A. , Paluch Anna
Published: March 2022

------
"Keep your friends close": Przyswajanie języka obcego poprzez interakcje rówieśnicze a edukacja zdalna w dobie pandemii
Authors: Jarynowski Andrzej , Czopek Karolina , Paradowski Michał B.
Published: March 2022

This paper focuses on second language acquisition in the context of social interactions naturally taking place among learners, especially in immersion/Study Abroad settings. We showcase the methodology of social network analysis, which has recently shed new light on the relationship between the individual position in the social network and language acquisition, helping to determine which contexts, intensity and direction of interactions are most conducive to L2 progress. At the time of the current COVID-19 pandemic, physical interactions can pose an epidemiological risk. Thus, we conclude with a discussion concerning the challenge of maximising students’ exposure to the target language in the context of emergency remote learning.
Retoryka mediów wobec zagadnienia Deportacji Akadian na przykładzie wybranych artykułów z "La Presse i Le Journal de Montréal"
Authors: Zacharow Sebastian
Published: March 2022

The purpose of this article is to demonstrate, based on the example of two Canadian journals, how memory remains alive after the events of 1755, when the deportation of the Acadians took place. In spite of the 250 years which have passed since the event, the French-language press in Canada remains extremely sensitive to the topic of the expulsion of the French from New Brunswick and Nova Scotia by the British, and it frequently expresses its attachment to the memory of the Acadians.
GeneXpert Based Confirmed Cases among Suspected Cases of Tuberculosis in a Tertiary Care Centre: A Descriptive Cross-sectional Study
Authors: Pant Prabesh , Gurung Kishor , Shrestha Nitesh , Basnet Subhechhya
Published: March 2022

Introduction: Tuberculosis is an infectious disease caused by Mycobacterium tuberculosis mostly affecting the lungs. Due to the low sensitivity of conventional microscopy and time-consuming culture method, Nucleic acid Amplification Assay Technique is preferred because of its rapidity and sensitivity. This test also helps in finding drug resistance to Rifampicin and also curtails the transmission of disease. The study is aimed to find the prevalence of GeneXpert confirmed cases among suspected cases of tuberculosis in a tertiary care centre.
Methods: A descriptive cross-sectional study in 104 patients was conducted in a tertiary care centre from 30th Dec 2021 to 3rd Feb 2022. Ethical clearance was taken from the Institutional Review Committee (Reference number: 464/078/079). Sputum samples were collected from patients and were processed for GeneXpert under biological safety standards. GeneXpert Mycobacterium tuberculosis/rifampicin assay, sample processing, deoxyribonucleic acid extraction, and deoxyribonucleic acid amplification occurred in a fully automated cartridge-based real-time Polymerase chain reaction. A convenience sampling method was done. Collected data were coded as per variables and entered in Statistical Package for the Social Sciences version 25. Point estimate at 95% Confidence Interval was calculated along with frequency and percentage for binary data.
Results: In all 104 patients, GeneXpert detected 10 (9.62%) (3.94-15.26 at 95% Confidence Interval) positive tuberculosis cases. Out of total positive cases, there were 6 (60%) males and 4 (40%) females and there was 1 (10%) rifampicin-resistant case.
Conclusions: The prevalence of pulmonary tuberculosis among presumptive cases in our study was found to be similar to reported literature.
Gautier Versus Verlaine: Nikolay Gumilyov’s Preferences in French Poetry
Authors: Bryleva Katerina V.
Published: March 2022

The article examines N. Gumilyov’s attitude towards T. Gautier and P. Verlaine and traces the origin of the opposition between these French poets. The author refutes the thesis that Gumilyov’s opinion of Verlaine softened over time, and proves that it remained unchanged, albeit contradictory.
On the Author Presence Forms in Old Rus’ Chronicles of XI–XIII Centuries (Interpretation and Typology)
Authors: Shapovalov Alexey V.
Published: March 2022

Different approaches to the author presence forms in old Rus’ chronicles of early period are considered. Possibility of chroniclers’ consciousness explication in the text and separation the fragments, written by the same author, are discussed. Examples of chroniclers’ marks expressions by different means, as well as cases of steady statements addition are given. Typological similarities and differences of various traditions’ narrative strategies are noted. It is concluded, that author presence forms are important both for historiographical traditions and separate texts studies.
Utilization of operations research in Egypt
Authors: Hegazi Sahar
Published: March 2022

This study aims to maximize the utilization of operations research (OR) findings in Egypt to strengthen research efforts contributing to the improvement of the family planning (FP) and reproductive health (RH) care program. To date, the field of OR in Egypt has not conducted a systematic review of the utilization of the OR studies completed over the last decade. The long-term objective of this study, as noted in this report, was to maximize the utilization of OR and strengthen future efforts contributing to the improvement of the FP and RH care program in Egypt. The study’s sample included selected studies completed by the principal agencies conducting OR in Egypt—Family Health International (FHI) (1989–1992) and the ANE OR/TA Project of the Population Council (1992–present). The analysis of the qualitative findings was based on a framework applied in a similar study in Indonesia by the ANE OR/TA Project and built on three elements: research product, scientific network, and researcher-audience relationship. Analysis of data indicated a general satisfaction with the contribution of OR to the FP and RH program in Egypt.
Country profile of women's health and development in Indonesia
Authors:   Population Council
Published: March 2022

The “Country Profile of Women’s Health and Development in Indonesia” contains a thorough review of the following: Geographical, Political, Socio-Demographic, and Economic Profile of Indonesia; Status of Women; and Women’s Health Status. In view of the complexity of the problems facing women, the document concludes that Indonesia needs a plan for the future with a gender perspective that prioritizes increased life expectancy, legal protection, and empowerment for women. To reach this goal, Indonesia started by ratifying the Convention on the Elimination of All forms of Discrimination Against Women (CEDAW) and set it into law in 1984. This convention, together with the Convention on the Rights of the Child (CRC) that was ratified in 1990, directly addresses various issues facing women, children, and families.
The Repatriation of Mortal Remains Within the EU: An Inventory of the Questions Addressed by the Members of the European Parliament to the Commission and the Correlative Answers
Authors: Schiopu Silviu-Dorin
Published: March 2022

In the context that the European Commission has the right of initiative to propose new legislation, we identified a series of questions

addressed to the Commission by MEPs between 1995 and 2015 on the repatriation of corpses within the EU. This inventory aims to provide an

overview of the questions and their correlative answers in order to highlight the reasons why parliamentarians considered it necessary to address these questions and how the Commission justified its position of not initiating specific legislative measures on the conveyance of corpses within the EU. For the moment we find ourselves in the awkward situation that the freedom of movement applies only to the living and the free movement of funeral services did not really improve, nor truly simplified the repatriation of mortal remains. However, an increase in deaths outside the state where the burial should take place may tip the balance, sooner or later, in favour of EU legislative measures that will replace the current international agreements and harmonise the national provisions.
European Court of Justice Decision in Coman Caseand Its Implications in the Same-Sex Spouses Matter
Authors: Spirchez Georgeta Bianca
Published: March 2022

Romania is still showing a strong resistance towards the spectacular changes in the way the family is currently regulated by the legal systems of other EU Member States. Under such conditions, through this study we are concerned about the issue of the recognition, by the Romanian State, of a marriage validly concluded abroad, between a Union citizen and his spouse of the same sex, who is a third country national. Our analysis starts from the principles developed by the European Union Court of Justice, in Coman case, a decision that brought back into the debate issues such as the right to family life and the right to freedom of movement, viewed from the perspective of the discrimination prohibition on grounds of sexual orientation.
Yoga Prevents Gray Matter Atrophy in Women at Risk for Alzheimer’s Disease: A Randomized Controlled Trial
Authors: Krause-Sorio Beatrix , Siddarth Prabha , Kilpatrick Lisa , Milillo Michaela M. , Aguilar-Faustino Yesenia , Ercoli Linda , Narr Katherine L. , Khalsa Dharma S. , Lavretsky Helen
Published: March 2022

Background: Female sex, subjective cognitive decline (SCD), and cardiovascular risk factors (CVRFs) are known risk factors for developing Alzheimer’s disease (AD). We previously demonstrated that yoga improved depression, resilience, memory and executive functions, increased hippocampal choline concentrations, and modulated brain connectivity in older adults with mild cognitive impairment. Objective: In this study (NCT03503669), we investigated brain gray matter volume (GMV) changes in older women with SCD and CVRFs following three months of yoga compared to memory enhancement training (MET). Methods: Eleven women (mean age = 61.45, SD = 6.58) with CVRF and SCD completed twelve weeks of Kundalini Yoga and Kirtan Kriya (KY + KK) while eleven women (mean age = 64.55, SD = 6.41) underwent MET. Anxiety, resilience, stress, and depression were assessed at baseline and 12 weeks, as were T1-weighted MRI scans (Siemens 3T Prisma scanner). We used Freesurfer 6.0 and tested group differences in GMV change, applying Monte-Carlo simulations with alpha = 0.05. Region-of-interest analysis was performed for hippocampus and amygdala. Results: Compared to KY + KK, MET showed reductions in GMV in left prefrontal, pre- and post-central, supramarginal, superior temporal and pericalcarine cortices, right paracentral, postcentral, superior and inferior parietal cortices, the banks of the superior temporal sulcus, and the pars opercularis. Right hippocampal volume increased after yoga but did not survive corrections. Conclusion: Yoga training may offer neuroprotective effects compared to MET in preventing neurodegenerative changes and cognitive decline, even over short time intervals. Future analyses will address changes in functional connectivity in both groups.
Neurofilament Light Chain Levels in Frontotemporal Dementia and Progressive Supranuclear Palsy: A Systematic Review
Authors: Bendstrup Nathalie , Hejl Anne-Mette , Salvesen Lisette
Published: March 2022

Background: It can be challenging to discriminate between progressive supranuclear palsy (PSP) and frontotemporal dementia (FTD). However, a correct diagnosis is a precondition for targeted treatment strategies and proper patient counseling. There has been a growing interest to identify cerebrospinal fluid (CSF) biomarkers, including neurofilament light chain (NfL). Objective: This systematic review evaluates the existing literature on neurofilament light in CSF aiming to validate its utility for differentiating FTD from PSP. Methods: A systematic literature search was conducted. A broad range of synonyms for PSP, NfL, and FTD as well as associated MeSH terms, were combined and used as keywords when searching. Relevant data were extracted and assessed for risk of bias. Results: Nine studies including a total of 671 patients with FTD, 254 patients with PSP, 523 healthy controls, and 1,771 patients with other disorders were included in the review. Four studies found a significantly higher level of CSF NfL in FTD (n = 445) compared to PSP (n = 124); however, in three of these studies the difference was only significant in certain FTD variants. Four studies found no significant difference in CSF NfL between PSP (n = 98) and FTD (n = 248). One study found a significantly higher level of NfL in PSP (n = 33) compared to FTD (n = 16). Conclusion: In the majority of patients in the studies included in this review, a higher level of NfL in CSF was found in patients with FTD compared to patients with PSP; however, results were inconsistent and prospective studies including large study cohorts are needed.
Alzheimer’s Disease-Related Dysbiosis Might Be Triggered by Certain Classes of Antibiotics with Time-Lapse: New Insights into the Pathogenesis?
Authors: Ternák Gábor , Németh Márton , Rozanovic Martin , Bogár Lajos
Published: March 2022

Background: Several putative factors are identified in the literature as causative agents or risk factors for the development of Alzheimer’s disease (AD). The amyloid cascade hypothesis has been the main hypothesis about the pathophysiology of AD for decades, but recent studies raised the possible role of dysbiosis in the development of AD, which prevents memory loss. Objective: Finding possible associations between antibiotic consumption patterns and the prevalence of AD in European countries. Methods: Antibiotic consumption (European Centre for Disease Prevention and Control, ECDC) for 1997–2007, 2008–2018, and as the whole 1997–2018 period, has been compared to the AD prevalence for 2018 expressed in percentage of the population and statistically analyzed by Pearson calculation. Results: A significant positive correlation has been found between the AD prevalence (2018) and the average quinolone consumption for the years 1997–2007 (r: 0.37, p: 0.044). A similar association was not observed for the entire 22 years (1997–2018) of the average quinolone consumption, and the years 2008–2018, indicating 10–20 years of time-lapse between the antibiotic exposure and the development of AD. The ratio of broad-spectrum and narrow-spectrum antibiotics (B/N) estimated in the ECDC database for the years of 2008–2018 showed a strong positive association with AD prevalence (2018) (r: 0.406, p: 0.026) and a positive correlation tendency for the entire 22 years 1997–2018 (r: 0.344, p: 0.063), but none for the years 1997–2007 (r: 0.256, p: 0.241). Conclusion: Our study indicated the possible sequential role of certain classes of antibiotics in the development of dysbiosis leading to amyloid deposits of AD, which strengthen the possible role of different mediator molecules (short-chain fatty acids, lipopolysaccharides, etc.) produced by the altered microbiome in the development of AD.
RETRACTED: Impact of air transportation on the spread of Covid-19 between countries based on system dynamics
Authors: Wang Chaofeng
Published: March 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Polyp detection in video colonoscopy using deep learning
Authors: Luca Mihaela , Ciobanu Adrian
Published: March 2022

Video colonoscopy automatic processing is a challenge and further development of computer assisted diagnosis is very helpful in correctness assessment of the exam, in e-learning and training, for statistics on polyps’ malignity or in polyps’ survey. New devices and programming languages are emerging and deep learning begun already to furnish astonishing results, in the quest for high speed and optimal polyp detection software. This paper presents a successful attempt in detecting the intestinal polyps in real time video colonoscopy with deep learning, using Mobile Net.
Artificial intelligence effectively predicts the COVID-19 death rate in different UK cities
Authors: Yarbakhsh Reza , Mortazavi Seyed Ali Reza , Mortazavi SM Javad , Parsaei Hossein , Rad Dana
Published: March 2022

The emergence of a new variant of SARS-CoV-2 in the UK that is spreading more rapidly has raised great concerns not only in the UK but also whole Europe and other parts of the globe. The newly identified variant of SARS-CoV-2 that is reported to be more contagious has prompted many countries to ban travel to and from the UK. As of April 2, 2021, nearly 4.35 million confirmed cases of coronavirus (COVID-19) have been reported in the UK out of which more than 127,000 people have died. These numbers reveal a need for predictor models to assist with management, prevention, and treatment decisions. Here, we presented an Artificial Intelligence (AI) model to predict the death rate in various cities of the United Kingdom. Training and testing the model using the data available on the European data portal showed promising results with predicted R2 = 0.88.
Graph theoretical way of understanding protein-protein interaction in ovarian cancer
Authors: Yegnanarayanan V. , Krithicaa Narayanaa Y. , Anitha M. , Ciurea Rujita , Marceanu Luigi Geo
Published: March 2022

Cancer is a major research area in the medical field. Precise assessment of non-similar cancer types holds great significance in according to better treatment and reducing the risk of destructiveness in patients’ health. Cancer comprises a ambient that differs in response to therapy, signaling mechanisms, cytology and physiology. Netting theory and graph theory jointly gives a viable way to probe the proteomic specific data of cancer types such as ovarian, colon, breast, oral, cervical, prostate, and lung. We observe that the P2P(protein-protein) interaction Nettings of the cancerous tissues blended with the seven cancers and normal have same structural attributes. But some of these point to desultory changes from the disease Nettings to normal implying the variation in the dealings and bring out the redoing in the complicacy of various cancers. The Netting-based approach has a pertinent role in precision oncology. Cancer can be better dealt with through mutated pathways or Nettings in preference to individual mutations and that the utility value of repositioned drugs can be understood from disease modules in molecular Nettings. In this paper, we demonstrate how the graph theory and neural Nettings act as vital tools for understanding cancer and other types such as ovarian cancer at the zeroth level.
Brain tumor detection in MRI scans using single shot multibox detector
Authors: Naseer-u-Din  , Basit Abdul , Ullah Ihsan , Noor Waheed , Ahmed Atiq , Sheikh Naveed
Published: March 2022

Researchers used visual methods rigorously to improve brain tumor detection in MRI or CT scans, yet there remains a challenge to improve the detection accuracy. Further, the rise of deep learning methods improved tumor detection accuracy up to the mark. But again, many times, we face the challenges of having a bigger dataset and better computing power to achieve an improved and accurate trained model for every object classification problem. In this paper, we propose a deep learning framework single shot multi-box detector (SSD)-based model to detect tumors in the MRI scans. The proposed SSD model is the faster algorithm to detect the tumor even with the ability to detect the smallest spot in the low-resolution MRI scans. We additionally used a lightweight neural network architecture MobileNet v2 with SSD for faster and accurate object classification. The experimental results showed 98% accuracy with the proposed method after training with the smallest dataset of 250 MRI scans. We used the Kaggle database for training and testing the proposed model.
Transfer learning model for false positive reduction in lymph node detection via sparse coding and deep learning
Authors: Ma Yingran , Peng Yanjun , Wu Tsu-Yang
Published: March 2022

Transfer learning technique is popularly employed for a lot of medical image classification tasks. Here based on convolutional neural network (CNN) and sparse coding process, we present a new deep transfer learning architecture for false positive reduction in lymph node detection task. We first convert the linear combination of the deep transferred features to the pre-trained filter banks. Next, a new point-wise filter based CNN branch is introduced to automatically integrate transfer features for the false and positive image classification purpose. To lower the scale of the proposed architecture, we bring sparse coding process to the fixed transferred convolution filter banks. On this basis, a two-stage training strategy with grouped sparse connection is presented to train the model efficiently. The model validity is tested on lymph node dataset for false positive reduction and our approach indicates encouraging performances compared to prior approaches. Our method reaches sensitivities of 71% /85% at 3 FP/vol. and 82% /91% at 6 FP/vol. in abdomen and mediastinum respectively, which compare competitively to previous approaches.
A deep dynamic neural network model and its application for ECG classification
Authors: Feng Naidan , Wu Tsu-Yang , Liang Yongquan
Published: March 2022

The electrocardiogram (ECG) signal is a kind of time-varying signal, which has the characteristics and difficulties of variability, instability, and noise. Aiming at that, this paper put forward a novel 13-layer deep dynamic neural network model (DDNN) for the ECG signal learning and classification. The proposed DDNN model is a dynamic hybrid deep learning model. It includes a wavelet block, a convolutional block, a recurrent block, and a classification block, which combines the learning property and classification mechanism of convolutional neural network for the large-scale data sets, the learning and memory ability of Long Short-Term Memory (LSTM) for time series, and the noise reduction and processing ability of wavelet basis for the signals to meet the requirement of the learning and classification of ECG signal characteristics. Sufficient experimental results show that the proposed model is feasible and effective in the electrocardiogram signal pattern classification.
Multi-strategy improved parallel antlion algorithm and applied to feature selection
Authors: Feng Qing , Pan Jeng-Shyang , Du Zhi-Gang , Peng Yan-jun , Chu Shu-Chuan
Published: March 2022

Antlion Optimization Algorithm (ALO) is a promising bionic swarm intelligence algorithm, which has good robustness and convergence, but there are still many areas to be improved and modified. Aiming at the fact that the ALO algorithm is more likely to fall into the local optimum, proposes three strategies to improve the classic ALO algorithm in this paper. First of all, we adopt a parallel idea in the algorithm, through the communication strategy between groups based on Quantum-Behaved to enhance the diversity of the population. Secondly, we adopted two strategies, Opposition Learning, and Gaussian Mutation, to balance the performance of exploration and exploitation during the execution of the algorithm, further formed the MSALO algorithm. The CEC2013 Benchmark function is selected as the standard, and MSALO is compared with other intelligent optimization algorithms. The experimental results show that MSALO has stronger optimization performance compared with other intelligent algorithms. Besides, we applied MSALO to the practical scenarios of feature selection, and use SVM classifiers as training evaluators to improve the accuracy of feature extraction from high-dimensional data.
Patient-Related Factors Influencing Caregiver Burden in Parkinson’s Disease Patients: Comparison of Effects Before and After Deep Brain Stimulation
Authors: Van Hienen Marle M. , Kuiper Roy , Middelkoop Huub A.M. , Van Hilten Jacobus J. , Contarino Maria Fiorella , Geraedts Victor J.
Published: March 2022

Background: Caregivers of Parkinson’s disease (PD) patients provide important support during the pre- and postoperative phase of deep brain stimulation (DBS). High levels of caregiver burden have been reported after DBS. However, a comparison between preoperative and postoperative burden and associated factors has been insufficiently studied. Objective: To investigate the influence of DBS on caregiver burden, and to identify the differential impact of patient-related factors on caregiver burden before and after DBS. Methods: Consecutive patients referred for DBS eligibility screening or during one-year follow-up assessments were included. Caregiver burden was measured with the short Zarit Burden Interview (ZBI-12). Inverse Probability Weighting (IPW) was used to compare caregiver burden between preoperative and postoperative assessments. Results: We included 47 patients (24 screening, 23 follow-up) (median age 65 years, 29.4% female sex). DBS did not impact caregiver burden (screening: median ZBI-12 9.5 (IQR 3.25, 16.75); follow-up median ZBI-12 6 (IQR 4, 14); IPW-coefficient 0.57 (95% CI –2.75, 3.89)). Worse caregiver burden during DBS screening was associated with worse patient-related scores on depressive symptoms, anxiety, QoL, and impulsiveness. Worse scores on depressive symptoms, anxiety, apathy, postural-instability-gait-disorder, and QoL were associated with worse caregiver burden at one-year follow-up. Conclusion: DBS appears not associated with changes in caregiver burden. Various symptoms are valued differently between screening and follow-up assessments in terms of caregiver burden. Early recognition of caregivers “at risk” may improve guidance of patient-caregiver dyads throughout the DBS process.
Inpatient comparison of wireless and wired pulse oximetry in neonates
Authors: Harrell M.D. , Dobson N.R. , Olsen C. , Ahmed A. , Hunt C.E.
Published: March 2022

BACKGROUND: To compare oxygen saturation (SpO2) and heart rate (HR) recorded by a reference wired pulse oximeter to a wireless pulse oximeter in inpatient neonates. METHODS: Term infants born≥37 + 0 weeks and preterm infants born≤35 + 0 weeks gestation were enrolled and time-matched data pairs were obtained. The primary outcome was intraclass correlation coefficient and r-values between the two oximeters for heart rate and oxygen saturation. RESULTS: Thirty term and 20 preterm neonates were enrolled. There was a high degree of correlation between the two oximeters for HR (r = 0.926) among all 50 infants, and excellent interclass correlation (ICC = 0.961), but there were no bradycardia episodes in either term or preterm infants. There was a lesser degree of correlation for SpO2 values in the term and preterm groups (r = 0.242; 0.521, respectively) along with moderate interclass correlation (ICC = 0.719) but few episodes of hypoxemia≤90% occurred in enrolled subjects. CONCLUSIONS: There were no significant differences between the wireless and reference wired oximeters for assessing HR. There was less correlation between the two oximeters for monitoring SpO2 in both the term and preterm group. Wireless pulse oximetry may have practical advantages for use in inpatient neonates, but additional studies are needed that include bradycardia and desaturation events to delineate this question.
Finite element analysis of nonlinear deformation, stability and vibrations of elastic thin-walled structures
Authors: Krivenko Olha , Vorona Yurii , Kozak Andrii
Published: March 2022

Thin-walled shell-type structures are widely used in various branches of technology and industry. Such structures under operating conditions are usually exposed to various loads, including thermomechanical ones. Real shell structures, as a rule, have a complex shapes. To increase reliability, reduce material consumption, for technological reasons, they are designed as inhomogeneous systems in thickness. This causes a great and constant interest of engineers and designers in the problems of investigating the behavior of elastic thin-walled shell structures.

The work is devoted to the method of analysis of geometrically nonlinear deformation, stability, post-buckling behavior and natural vibrations of thin elastic shells of complex shape and structure under the action of static thermomechanical loads. The unified design model has been created on the basis of the developed universal spatial finite element with introduced additional variable parameters. The model takes into account the multilayer material structure and geometric features for structural elements of the thin shell. The shells can be reinforced with ribs and cover plates, weakened by cavities, channels and holes, have sharp bends in the mid-surface.

Such a uniform formulation made it possible to create a unified finite element model of the shells with an inhomogeneous structure. It is shown on a number of problems that the method presented in this article is an effective tool for analyzing geometrically nonlinear deformation, stability, post-buckling behavior and natural vibrations of thin elastic shells of an inhomogeneous structure under the action of static thermomechanical loads.