bluuebunny/crossref_metadata_2025 huggingface dataset:
Formation of Calcium Phosphate Apatite in System CaO-P2O5-H2O:
Equilibrium at 298 K Under a Nitrogen Atmosphere
Authors: Chaikina Marina V. , Bulina Natalia V.
Published: October 2022

Aims:

The formation of calcium phosphate apatite (hydroxyapatite, carbonate-containing
hydroxyapatite, fluorapatite and carbonate-containing fluorapatite) in aqueous systems has been studied
for over a century.

Background:

However, in the region of low concentrations of liquid phases, the question of the nature,
composition and region of existence of apatite compounds remains controversial.

Objective:

The results of studying the phase equilibrium in the system CaO-P2O5-H2O at 298 K in the
isotherm region from the invariant point of dicalcium phosphate and monocalcium phosphate monohydrate
to the lowest concentrations of the liquid phase components are presented.

Method:

Chemical analysis, thermogravimetry, IR spectroscopy and optical microscopy were used for
the analysis.

Result:

Long-term monitoring of the establishment of equilibrium (up to 20 months) resulted in the determination
of regions of stable solid phases of calcium orthophosphates, calcium-deficient apatites, hydroxyapatite,
and apatite with (Ca/P)at >1.67. Two types of calcium-deficient apatite were identified that
differ in the (Ca/P)at ratio: the first type is 1.33 < (Ca/P)at ≤ 1.5; the second one is 1.5 ≤ (Ca/P)at < 1.67.

Conclusion:

The invariant points of calcium orthophosphates and compounds with the apatite structure
were determined. The diagram was constructed using the Miller-Kenrick method based on obtained
experimental data, which confirms the established regions and invariant points of stable equilibrium
solid phases of the studied ternary system. The data obtained can be useful for understanding the processes
of formation and change of compounds with apatite structure.
In Situ Hydrogels for Effective Treatment of Cancer: Strategies and
Polymers Used
Authors: Mehra Anshula , Tharmatt Abhay , Saini Navdeep , Singh Gurdeep , Kaur Kirandeep , Singh Gurpreet , Bedi Neena
Published: October 2022

Cancer is a worldwide health ailment with no known boundaries in terms of mortality and
occurrence rates, thus is one of the biggest threats to humankind. Hence, there is an absolute need to
develop novel therapeutics to bridge the infirmities associated with chemotherapy and conventional
surgical methodologies, including impairment of normal tissue, compromised drug efficiency and an
escalation in side effects. In lieu of this, there has been a surge in curiosity towards the development of
injectable hydrogels for cancer therapy because local administration of the active pharmaceutical
agent offers encouraging advantages such as providing a higher effective dose at the target site, a
prolonged retention time of drug, ease of administration, mitigation of dose in vivo, and improved
patient compliance. Furthermore, due to their biocompatible nature, such systems can significantly
reduce the side effects that occur on long-term exposure to chemotherapy. The present review details
the most recent advancements in the in-situ gel forming polymers (natural and synthetic), polymeric
cross-linking methodologies and in-situ gelling mechanisms, focusing on their clinical benefits in
cancer therapy.
Performance Evaluation of ML Algorithms for Disease Prediction Using DWT and EMD Techniques
Authors: Viswavardhan Reddy K. , Hemapriya B. , Roja Reddy B. , Premananda B.S.
Published: October 2022

Information and communication technology usage in the healthcare sector is
not perceptible due to various challenges with increased healthcare needs. With the
outburst of COVID-19, when the different countries announced lockdown and social
distancing rules, it is crucial to predict a person's symptoms, which will help in the
early diagnosis. In such situations, there is a tremendous growth seen in the usage of
various technologies, such as remote health monitoring, Wireless Body Area Networks
(WBANs), Machine Learning (ML), and Decision Support system (DSS). Hence, the
chapter focuses on detecting diseases and associated symptoms using various ML
algorithms. A total of 3073 patient data (heartbeat, snore, and body temperature) has
been collected. The collected data were preprocessed to remove empty cells and zero
values by replacing the mean of the cells. Later, the extracted features were used in
Empirical Mode Decomposition (EWD) and Discrete Wavelet Transformation (DWT).
Then, the optimized algorithms with the threshold values were identified by consulting
doctors for accurate disease prediction. With the testing performance of various ML
algorithms, such as Decision Tree Classifier (DTC), K-Nearest Neighbor (KNN),
Gradient Descent (SGD), Naive Bayes (NB), Multilayer perceptron (MLP), Support
Vector Machine (SVM), and Random Forest (RF), was compared. Performance
evaluation parameters are accuracy, precision, F1 score, and recall. The results showed
an average of 100% accuracy with SGD and SVM with DWT, whereas EMD, SVM,
and MLP outperformed the state-of-the-art algorithms with 99.83% accuracy.
Personalized Smart Diabetic System Using Hybrid Models of Neural Network Algorithms
Authors: Abirami K. , Deepalakshmi P. , Srinivas Amiripalli Shanmuk
Published: October 2022

The healthcare sector is rapidly evolving due to the exponential growth of
the digital space and emerging technologies. Maintaining and effectively handling large
quantities of data has become difficult in all industries. Furthermore, collecting helpful
knowledge from extensive data collection is a daunting challenge. There would be an
immense amount of data that continues to grow, making it harder and harder to find
some helpful information. In the healthcare industry, big data analytics offers a variety
of tools and strategies for detecting or predicting illnesses faster and delivering better
healthcare facilities to the right patient at the right time to increase the quality of life. It
is not as simple as one would imagine, given the myriad functional challenges that need
to be addressed within current health data analytics systems that offer procedural
frameworks for data collection, aggregation, processing, review, simulation, and
interpretation. This chapter aims to design a long-term, commercially viable, and
intelligent diabetes diagnosis approach with tailored care. Due to a lack of systematic
studies in the previous literature, this chapter describes the different computational
methods used in big data analytical techniques and the various phases and modules that
transform the healthcare economy from data collection to knowledge distribution. The
investigation findings indicate that the suggested framework will effectively offer
adapted evaluation and care advice to patients, emphasizing a knowledge exchange
approach and adapted data processing model for the smart diabetic system. 
Uses And Challenges of Deep Learning Models for Covid-19 Diagnosis and Prediction
Authors: Wadhwa Vaishali M. , Mangla Monika , Aneja Rattandeep , Chawla Mukesh , Sarkar Achyuth
Published: October 2022

Recent advancements in artificial intelligence and machine learning, specifically in the domain of natural language and computer vision, involve deep neural networks. Deep learning technology is evolving rapidly to enhance the advanced computing power across the globe in every industry. The uses of deep learning technology are becoming more apparent as the amount of available data is increasing enormously. It is being used to solve numerous complicated applications in real life with surprising levels of accuracy. Besides all the benefits, the large-scale deployment of artificial intelligence and deep learning-based models has several associated challenges due to the huge and rapidly changing data and its accessibility to common people. In this study, the authors provide a review of existing deep learning models to study the impact of artificial intelligence on the development of intelligent models in the healthcare sector, specifically in dealing with the SARS-CoV-2 coronavirus. In addition to reviewing the significant developments, the authors also highlight major challenges and open issues.
Validación de la escala FoMOs (Fear of Missing Out scale) en el contexto colombiano
Authors: Quintero Núñez Helmer , Cano García Mariluz , Gaspar Cartagena Dorimely , Martín Rodrigo
Published: October 2022

Introduction: FoMOs scale (acronym in English to refer to Fear of Missing out Scale) pretends to assess an interrelation experience through technological mediation, the one that links up irregular disadvantages on the web users. In the same way, those consequences are given in morbid restlessness sensations because they are considered to be disconnected or unlinked from the social artificial reality. Objective: The present research has the main objective to determine psychometric properties of the FoMOs Colombian population. Methodology: The quantitative methodological design, that doesn’t make a part of experimental processes, with an empirical-analytical grasp, in company with a descriptive reaching, and originated from the transversal section. Results: At the time psychometric properties of the FoMO scale aregetting validated, it considers that their adjustment is opportune, and appropriate compared to the original prototype. Therefore, the internal consistency of the two models, Alfa, by Cronbach, and Omega, by McDonald, offer convenient results in that case (ω = .88; α = .79). Conclusion: The instrument analysis allows us to conclude that the FoMOs scale adaptation is valid and reliable for the FOMO syndrome assessment inside the Colombian context.
Examining Use Behavior of a Goal-Supporting mHealth App in Primary Care Among Patients With Multiple Chronic Conditions: Qualitative Descriptive Study
Authors: Tahsin Farah , Austin Tujuanna , McKinstry Brian , Mercer Stewart W , Loganathan Mayura , Thavorn Kednapa , Upshur Ross , Steele Gray Carolyn
Published: October 2022

Background

Although mobile health (mHealth) apps are increasingly being used to support patients with multiple chronic conditions (multimorbidity), most mHealth apps experience low interaction and eventual abandonment. To tackle this engagement issue, when developing an mHealth program, it is important to understand the social-behavioral factors that affect patients’ use behavior.

Objective

The aim of this study was to explore the social and behavioral factors contributing to patients’ use behavior of an mHealth app called the electronic Patient-Reported Outcome (ePRO). The ePRO app supports goal-oriented care delivery in interdisciplinary primary care models.

Methods

A descriptive qualitative study was used to analyze interview data collected for a larger mixed methods pragmatic trial. The original 15-month trial was conducted in 6 primary care teams across Ontario, Canada, between 2018 and 2019. The eligibility criteria for patients were being aged ≥60 years with ≥10 visits within the previous 12 months of study enrollment. For this analysis, patients were classified as long-term or short-term users based on their length of use of the ePRO app during the trial. The Social Cognitive Theory by Bandura was used to categorize social-behavioral factors that contributed to patients’ decision to continue or discontinue using the app.

Results

The patient-provider relationship emerged as a key factor that shaped patients’ experiences with the app and subsequent decision to continue using the app. Other factors that contributed to patients’ decision to continue using the app were personal and social circumstances, perceived usefulness, patients’ previous experience with goal-related behaviors, and confidence in one’s capability. There was an overlap of experience between long- and short-term app users but, in general, long-term users perceived the app to be more useful and their goals to be more meaningful than short-term app users. This observation was complicated by the fact that patient health-related goals were dynamic and changed over time.

Conclusions

Complex patients’ use behavior of a goal-supporting mHealth app is shaped by an array of sociobehavioral factors that can evolve. To tackle this dynamism, there should be an emphasis on creating adaptable health technologies that are easily customizable by patients and able to respond to their changing contexts and needs.

Trial Registration

ClinicalTrials.gov NCT02917954; https://clinicaltrials.gov/ct2/show/NCT02917954
Biomarkers of Exposure and Potential Harm in Exclusive Users of Nicotine Pouches and Current, Former, and Never Smokers: Protocol for a Cross-sectional Clinical Study
Authors: Azzopardi David , Haswell Linsey Ellen , Frosina Justin , McEwan Michael , Gale Nathan , Thissen Jesse , Meichanetzidis Filimon , Hardie George
Published: October 2022

Background

Tobacco harm reduction (THR) aims to reduce the health burden of cigarettes by encouraging smokers to switch to using alternative tobacco or nicotine products. Nicotine pouches (NPs) are smokeless, tobacco-free, oral products that may be beneficial as part of a THR strategy.

Objective

This 2-center, cross-sectional confinement study conducted in Denmark and Sweden aimed to determine whether biomarkers of exposure (BoEs) to tobacco toxicants and biomarkers of potential harm (BoPHs) in exclusive users of NPs show favorable differences compared with current smokers.

Methods

Participants were healthy NP users (target n=100) and current, former, or never smokers (target n=40 each), as confirmed by urinary cotinine and exhaled carbon monoxide concentrations. During a 24-hour confinement period, participants were asked to use their usual product (NP or cigarette) as normal, and BoEs and BoPHs were measured in blood and 24-hour urine samples, with compliance determined using anabasine, anatabine, and N-(2-cyanoethyl)valine. BoEs and BoPHs were compared between NP users and current, former, and never smokers. Urinary total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (BoE to nicotine-derived nitrosamine ketone) and urinary 8-epi-prostaglandin F2α type III, exhaled nitric oxide, blood carboxyhemoglobin, white blood cell count, soluble intercellular adhesion molecule-1, and high-density lipoprotein cholesterol (BoPHs) were evaluated as primary outcomes. Other measures included urinary 11-dehydrothromboxane B2, forced expiratory volume, carotid intima-media thickness, self-reported quality of life, and oral health.

Results

The results of this study were received in mid-2022 and will be published in late 2022 to early 2023.

Conclusions

The results of this study will provide information on toxicant exposure and biomarkers associated with the development of smoking-related diseases among users of NPs compared with smokers, as well as on the potential role of NPs in THR.

Trial Registration

International Standard Randomised Controlled Trial Number (ISRCTN) ISRCTN16988167; https://www.isrctn.com/ISRCTN16988167

International Registered Report Identifier (IRRID)

DERR1-10.2196/39785
Dualitas Peran Pembangunan Korporasi: CSR dalam Kerangka Kebijakan PROPER dan Lanskap Sosial Pemanfaat Program
Authors: Arifin Muhamad
Published: October 2022

Studi ini bertujuan mengeksplorasi sudut pandang sosiologis gagasan Giddens tentang dualitas struktur untuk mengkaji CSR korporasi (Corporate Social Responsibility) dan komunitas pemanfaat dibawah kebijakan pemerintah Proper. Studi terdahulu tentang CSR menunjukkan sebuah dikotomi antara struktur dan agensi yang meninggalkan sebuah kehampaan pada praktik CSR dalam konteks pembangunan. Oleh karena itu, studi ini berfokus pada relasi antara kebijakan Proper dianggap sebagai struktur dan komunitas pemanfaat CSR melalui berbagai bentuk agensi yang belum banyak mengemuka. Unit analisis terdiri dari sebuah korporasi di sektor hilir industri migas dan komunitas pemanfaat program CSR yang berlokasi di Provinsi Sumatera Selatan. Studi ini menerapkan pendekatan kualitatif yaitu observasi, wawancara terstruktur, dan wawancara mendalam. Informan kunci yang terlibat yakni petugas senior bidang CSR, petugas pemberdayaan komunitas, elit aktor komunitas, dan kelompok komunitas pemanfaat program CSR. Hasil studi ini menekankan peran signifikan para elit lokal komunitas dalam menentukan keberlanjutan program CSR. Sebagai kesimpulan, analisis dualitas struktur Giddens mampu menggambarkan proses dinamis dalam relasi yang saling mempengaruhi antara peran korporasi dan komunitas pada praktik CSR dalam kerangka kebijakan Proper. Sejumlah aspek berdampak sangat konstruktif. Namun, terdapat aspek lainnya yang belum mengarah pada keberlanjutan program CSR korporasi.
Modeling Volatility for High-Frequency Data of Cryptocurrency Bitcoin Price using Generalized Autoregressive Conditional Heteroskedasticity (GARCH) Model
Authors: Bakar Nashirah Abu , Rosbi Sofian
Published: October 2022

The cryptocurrency namely Bitcoin is a decentralized cryptocurrency considered a type of digital asset that uses public-key cryptography to record, sign and send transactions over the Bitcoin blockchain. All transaction processes are performed without the oversight of a central authority. The time series data for Bitcoin price movement exhibit time-varying volatility and volatility clustering. This study aims to evaluate the time-varying volatility of Bitcoin price using the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model. This study uses daily share prices starting from July 2017 until July 2022. The mean equation was developed using the ARMA (1,1) for Bitcoin return. Next, this study evaluated OLS, GARCH, GARCH-M, and E-GARCH models. The result shows the EGARCH (1,1) model exhibits its lowest error of AIC with a value of 5.5984. The autocorrelation test was performed using Q-statistics indicating EGARCH (1,1) model is free from the autocorrelation problem. In addition, ARCH-LM test indicates EGARCH (1,1) is free from heteroscedasticity problems. The EGARCH (1,1) shows there is a leverage effect for volatility clustering. This explained the behavior of bad news effect more than positive news. The finding of the study can act as a guideline to help investors to analyze their investment behavior. At the same time, the finding of this study helps investors to understand the cryptocurrency dynamics behavior.
ESG indicator metrics used by organisations to assess the degree of sustainability in companies
Authors: Peixoto João Alvarez , Machado Andréia Bem , Richter Marc François
Published: October 2022

Sustainability is increasingly becoming a necessity for corporations due to changing perspectives around the world. In this scenario the following problematic issue has arisen: Which ESG indicators are used to evaluate companies? To answer this problem the following objective was set: map the ESG indicator metrics used by organisations to analyse sustainability in companies. To this end, an integrative literature review was conducted using the Web of Science database. The results of the research indicate the instruments for this analysis as: Bloomberg Sustainability Report, Compustat database, Thomson Reuters EikonTM Report (ASSET4), MERCO Index, Kinder Lyndenberg Domini (KLD) Report, Global Reporting Index (GRI) Report, Global Engagement Services (GES), Sustainalytics database and in some cases interviews with the organizations' managers. These instruments measure ethical behavior, responsibility with employees, transparency and good governance, contribution to the Community, and commitment to the environment and climate change, and help assess companies on their ESG performance.
Comparison of noninvasive prenatal screening for defined pathogenic microdeletion/microduplication syndromes and nonsyndromic copy number variations: a large multicenter study
Authors: Yang Li , Bu Guosen , Ma Yuyu , Zhao Jing , Rezak Jiamilla , La Xiaolin
Published: October 2022

Background:This retrospective study assessed the precision of noninvasive prenatal testing (NIPT) in detecting microdeletion/microduplication syndromes (MMSs) and nonsyndromic copy number variations (CNVs).Methods:The study included 19,086 singleton pregnancies screened on NIPT using high-throughput sequencing. Pregnancies with CNVs on NIPT underwent amniocentesis for karyotyping and CNV sequencing (CNV-seq). We analyzed pathogenic MMSs and nonsyndromic CNVs separately, dividing the CNVs into subgroups based on fragment size and fetal ultrasound findings.Results:A total of 170 abnormalities were detected by NIPT, of which 113 (66.5%) underwent invasive testing. The positive predictive value (PPV) of CNV-seq for all types of CNV detected by NIPT was 35.4%, with PPVs of 61.5 and 27.6% for pathogenic MMSs and nonsyndromic CNVs, respectively. PPVs for NIPT showed different values depending on gestational characteristics, with the highest PPV for NIPT in the group with increased nuchal thickness (66.7%) and for the abnormal ultrasound group (57.1%). CNVs ≤5 Mb with normal ultrasound findings were generally associated with a healthy fetus.Conclusion:NIPT can detect chromosomal aberrations in the first trimester, with high performance for MMSs. However, due to the low PPV for nonsyndromic CNVs, and the good pregnancy outcome in most cases, the introduction of expanded NIPT would cause an increase in unnecessary invasive procedures and inappropriate terminations of pregnancy.
MEMORIA FEMINISTA PARA PENSAR A MANUELA SÁENZ: UN RECORRIDO POR SU POLÍTICA Y SUS TERRITORIOS
Authors: Martínez i Àlvarez Patrícia-Victòria
Published: October 2022

En este artículo planteo la disparidad que existe entre la historia de las mujeres y las memorias patriarcales, a partir de la observación y el análisis de los relatos que se construyeron en torno a Manuela Sáenz desde voces y escrituras masculinas. Para ahondar en su propia historia, propongo un itinerario de reencuentro con ella a partir de su recorrido territorial por América, de los viajes que su alma hizo por la política, los afectos y la patria, mediante la lectura de sus cartas y diarios. Finalmente, planteo la necesidad de pensar este método —el de escuchar voces de mujeres desde sus propias experiencias— como parte de una propuesta de innovación docente feminista en el ámbito de la historia, la cual, al poner en el centro lo humano, haga más factible que las niñas y las jóvenes se reconozcan en la política y en la nación.
Inteligencia artificial en los procesos documentales de los archivos digitales sonoros
Authors: Sanabria Medina Georgina , Rodríguez Reséndiz Perla Olivia
Published: October 2022

La recuperación de información digital a través de la inteligencia artificial es en la actualidad una de las aplicaciones más prometedoras para los archivos que acopian grandes volúmenes de contenidos digitales. Las experiencias pioneras en este campo se han comenzado a desarrollar en archivos digitales sonoros. La presente investigación tuvo un enfoque cualitativo en tanto que se llevó a cabo un análisis de literatura científica reciente. Además, se identificaron cinco archivos sonoros en América, Asia y Europa, pioneros en el uso de sistemas inteligentes para la automatización de algunos procesos documentales que intervienen en la preservación sonora y se realizó una entrevista.Con ello, fue posible observar algunas de las primeras aplicaciones en esta materia. Este trabajo tiene como objetivo exponer experiencias de uso de la inteligencia artificial en archivos sonoros digitales, a fin de evidenciar cómo su uso comienza a extenderse a través de los procesos documentales que intervienen en el ciclo de vida por el cual transitan los objetos digitales.
Brucella melitensis Lurking Threat in Eastern Part of Odisha - A Case Report
Authors: Dash Sumesh Kumar , Jena Lipika , Panigrahy Rajashree , Sahu Suneeta , Singh Santosh
Published: October 2022

Brucellosis is a rising veterinary and human health problem in India. It may manifest with a varied multisystem clinical presentation. In our case patient was of 72 years male with a complaint of abdominal pain for 2 months following COVID-19 infection. He was a known case of CAD (coronary artery disease) post PTCA status, on regular follow up & treatment. Patient had post COVID pulmonary fibrosis. When the patient admitted in our hospital with above mentioned complaints, necessary investigations along with blood culture by automated method was sent and patient was started on empirical doxycycline along with other symptomatic treatment. As the patient was not very sick and was reluctant to stay in hospital during the COVID-19 situation, he was discharged on request with a treatment and follow up plan. Blood culture was found to be positive for Brucella melitensis. When we got the blood culture report the patient was contacted telephonically and started Rifampicin along with Doxycycline for 6 weeks.
Stakeholder approach to the innovative development of unified heat supply organizations
Authors: Glazkova Valeria V.
Published: October 2022

Introduction. The provision that any economic entity in the economic system does not exist separately from the environment that surrounds it creates the need for the functioning and development of the organization to take into account the goals of the main stakeholders. The object of this study is unified heat supply organizations, acting as one of the participants in heat supply, which is legally responsible for the modernization and technological development of heat supply in a certain territory. The interaction of unified heat supply organizations with other economic entities and holders of interests necessarily influences the nature and intensity of modernization and technological development, and their innovative development. The purpose of the study is to identify groups of stakeholders whose interaction is important for the innovative development of unified heat supply organizations, as well as to determine their main goals and interests in order to be able to take them into account when developing a mechanism for managing the innovative development of unified heat supply organizations.

Materials and methods. The theoretical and methodological basis of the study was the work of Russian and foreign researchers in the field of the concept of stakeholders and the stakeholder approach to management. The methods of empirical and theoretical research were used in the study.

Results. The study of the approaches of Russian and foreign authors to the classification of stakeholders allowed us to form a list of the main stakeholders, interaction with which is important for the innovative development of unified heat supply organizations, as well as to highlight their main goals and interests, which is of interest, since identification, structuring and building a map of possible stakeholders allow us to evaluate the options for the functioning and development of the object of study from the point of view of existing interest groups and their influence.

Conclusions. A systematic approach to the management of groups interested in the innovative development of unified heat supply organizations, based on the optimality criterion, should become an important factor in the development of a management mechanism for the process under consideration.
Structural Violence Perpetrated Against Indigenous Peoples in Canadian Criminal Courts: Meta- Analytic Evidence of Longstanding Sentencing Inequities
Authors: Alberton Amy M. , Gorey Kevin M. , Angell G. Brent , McCue Harvey A.
Published: October 2022

Social justice entails opposing discrimination and working towards eliminating structuralviolence. The problem of overrepresentation of Indigenous peoples across Canada’s criminaljustice system, a site of structural violence, has persisted for decades. Most studies uncoveredthrough this review and meta-analysis indicated Indigenous disadvantage in criminal sentencing.Specifically, Indigenous peoples were at much greater risk of receiving punitive sentences thannon-Indigenous people. Additionally, the disparity was observed to be significantly greateramong women than men. This synthesis also elucidated the paucity of data and research relatedto Indigenous peoples’ involvement with the court system. Implications and future researchneeds are discussed.
Strain Theories and Labelling Theories: A Critical Examination through an Anti-Oppressive Lens
Authors: Nguyen Quan Huu , Ngo Hieu Van
Published: October 2022

Informed by the intersectionality and social justice perspectives, this article examines twoprominent schools of thought in criminology, namely strain and labelling theories. Our analysisreveals that strain and labelling theories have not adequately attended to social justice,particularly systemic oppression, in their explanations of youth crime. We propose the use ofrestorative justice as an alternative framework that may address the limitations of strain andlabelling theories.
Advancing Anti-Racism in Child Policy Advocacy
Authors: Jones Nikki , McNary Lacey , Abdur-Rahman Rashaad
Published: October 2022

Although child policy advocates support and protect children’s rights, research evidence does not indicate that these professionals and organizations have addressed embedded racial disparity and disproportionality in the child welfare system that renders children vulnerable in the first place. This article argues that adopting anti-racism is essential to child advocates committed to dismantling racist structures at the core of child welfare. Anti-racism enables child policy advocates to scrutinize and dismember the Eurocentric structures, biases, and practices that keep Black and Brown children and families entangled in the child welfare system. We provide background on child welfare and child policy advocacy. Next, we offer intentional anti-racist strategies for child policy advocates to disrupt the child welfare system. We conclude with recommendations for anti-racist practices to eliminate racial disparity and disproportionality in the child welfare system.
Holomorphic representation of quantum computations
Authors: Chabaud Ulysse , Mehraban Saeed
Published: October 2022

We study bosonic quantum computations using the Segal-Bargmann representation of quantum states. We argue that this holomorphic representation is a natural one which not only gives a canonical description of bosonic quantum computing using basic elements of complex analysis but also provides a unifying picture which delineates the boundary between discrete- and continuous-variable quantum information theory. Using this representation, we show that the evolution of a single bosonic mode under a Gaussian Hamiltonian can be described as an integrable dynamical system of classical Calogero-Moser particles corresponding to the zeros of the holomorphic function, together with a conformal evolution of Gaussian parameters. We explain that the Calogero-Moser dynamics is due to unique features of bosonic Hilbert spaces such as squeezing. We then generalize the properties of this holomorphic representation to the multimode case, deriving a non-Gaussian hierarchy of quantum states and relating entanglement to factorization properties of holomorphic functions. Finally, we apply this formalism to discrete- and continuous- variable quantum measurements and obtain a classification of subuniversal models that are generalizations of Boson Sampling and Gaussian quantum computing.
Estimation of Gaussian multinomial endogenous switching model
Authors:   National Research University Higher School of Economics (NRU HSE), Moscow, Russian Federation, Kossova Elena , Potanin Bogdan ,   National Research University Higher School of Economics (NRU HSE), Moscow, Russian Federation
Published: October 2022

We propose a two‐step estimation procedure for multinomial endogenous switching model assuming joint normality of random errors. Simulated data analysis suggests that our method outperforms popular alternatives when independence of irrelevant alternatives (IIA) assumption is violated. We also apply our method to estimate marriage male premium. We have found statistical evidence that this premium is negative for officially married men and positive for unofficially married men.
Quantifying heterogeneity in the relationship between R&D intensity and growth at innovative Japanese firms: A quantile regression approach
Authors:   HSE University, Моscow, Besstremyannaya Galina , Dasher Richard ,   Stanford University, Stanford, US, Golovan Sergei ,   New Economic School, Moscow
Published: October 2022

This paper focuses on innovative manufacturing firms in Japan in 2009–2020 and evaluates differences in the relationship between R&D intensity and firm growth. We use a longitudinal version of the conditional quantile regression model to estimate the augmented Gibrat’s law equation for each of four innovative industries: chemicals and allied products; electronic and other electrical equipment; industrial and commercial machinery and computer equipment; and transportation equipment. The analysis reveals statistical differences in estimated coefficients for R&D intensity across low, median and high-growth firms within each industry and across pairs of industries. The results imply the presence of different patterns of R&D effectiveness which are discussed in the light of R&D management drawing on the experience of Sony and other fast-growing Japanese electronics firms. We also discover heterogeneity in the impact on growth of the age and size of firms.
Widespread gene flow following range expansion in Anna's hummingbird
Authors: Adams Nicole , Bandivadekar Ruta , Battey C.J. , Clark Michael , Epperly Kevin , Ruegg Kristen , Tell Lisa , Bay Rachael
Published: October 2022

Anthropogenic changes have altered the historical distributions of many
North American taxa. As environments shift, ecological and evolutionary
processes can combine in complex ways to either stimulate or inhibit
range expansion. Here we examine the role of evolution in a rapid range
expansion whose ecological context has been well-documented, Anna’s
Hummingbird (Calypte anna). Previous work suggests that the
C. anna range expansion is the result of an ecological release
facilitated by human-mediated environmental changes, where access to new
food sources have allowed further filling of the abiotic niche. We
examine the role of gene flow and adaptation during range expansion from
their native California north into Canada and east into New Mexico and
Texas, USA. Using low coverage whole genome sequencing we found high
genetic diversity, low divergence, and little evidence of selection on
the northern and eastern expansion fronts. Additionally, there are few
(if any) limits to gene flow across the native and expanded range. The
lack of selective signals between core and expanded ranges could reflect
i) an absence of novel selection pressure in the extended range
(supporting the ecological release hypothesis), ii) swamping of adaptive
variation due to high gene flow, or iii) limitations of genome scans for
detecting small shifts in allele frequencies across many loci.
Nevertheless, our results provide an example where strong selection is
not apparent during a rapid, contemporary range shift.
Laparoscopic Cholecystectomy in Situs Inversus Totalis Patients: A Case Report
Authors: ALAkkad Ashraf , Almahameed Fadi Bassam
Published: October 2022

Laparoscopic surgery has been around in the general surgery world for a long time. It has revolutionized how conventional surgeries used to be carried out. Performing laparoscopic surgery , there is a faster recovery time, complications are less likely, and a significantly lower bleeding and hemorrhage-related risk in these patients. However, some surgeries are still carried out in the traditional ’open ’way. One major reason for this is the lack of skilled professionals available to carry out such complicated cases alone or the fact that some surgeries provide better access to the surgeons when carried out traditionally. This case study revolves around two patients, both of which presented with situs inversus. Situs inversus is a congenital condition where the majority or all of the organs present in the chest and abdomen mirror their normal physiological positions, that is, they are present in the opposite direction of where they normally should be. Since the condition revolves mainly around the ’position ’of the major body organs and does not usually involve any defect or malfunctioning in their ’ function’, it is usually seen that the affected people are capable of living on their own, without any complications affecting their lives. However, this was not the case with both of the patients that are being discussed in this case study. Both of them developed cholelithiasis. Their case was already bound to face complications owing to their condition-situs inversus. But, due to the presence of efficient and skilled surgeons working on the case, it was seen that laparoscopic cholecystectomy was performed on both of these patients. Whether this surgery was carried out successfully or led to further complications is the focus of this paper. Along with that, this study also aims to revolve to look at the diagnostic measures that led to effectively diagnosing the condition in these patients affected by situs inversus. Case Study
Imaging Maize Lesions
Authors: Ndubuisi Chimdi Walter , Kharismawati Dewi Endah , Kazic Toni
Published: October 2022

The maize disease lesion mimic mutants spontaneously form lesions on leaf blades and sheaths that strongly resemble the plant’s responses to pathogen infection. Variations in lesion morphology, spatiotemporal distribution, and sensitivity to genetic background and weather make them ideal candidates to develop high throughput and high resolution phenotyping methods for individual plants and their organs in unstructured fields. We present three approaches to imaging lesions at different phenotyping scales and image resolution. Each strategy has distinct advantages and poses unique collection and computational challenges. The first is imaging individual leaves ex situ before sexual maturity using reflected light. The challenge is to identify leaves while the lesions are sufficiently separated for easier segmentation, yet numerous enough for good sample size and mature enough to display the range of lesion developmental stages. This is a moderate throughput, moderate resolution strategy. The second is to image plants using UAVs in situ. The challenges are to fly low enough for good lesion resolution while minimizing extraneous movement and to register individual plants and their leaves during the growing season. This is a high throughput, lower to moderate resolution strategy. The third is to image lesions using after-market lenses on cell phones in situ. The challenges are to capture the same region of the leaves over time without interfering with lesion formation and to mosaic the imagery of highly repetitive surface features into a summary view for registration. This is a low throughput, high resolution strategy.
Sensitivity to long days for flowering is reduced in Arabidopsis by yearly variation in growing season temperatures
Authors: Kinmonth-Schultz Hannah , Sønstebø Jørn Henrik , Croneberger Andrew , Johnsen Sylvia Sagen , Leder Erica , Lewandowska-Sabat Anna , Imaizumi Takato , Rognli Odd Arne , Vinje Hilde , Ward Joy , Fjellheim Siri
Published: October 2022

Conservative flowering behaviors, such as flowering during long days in
summer or late flowering at a high leaf number, are often proposed to
protect against variable winter and spring temperatures which lead to
frost damage if premature flowering occurs. Yet, due the many factors in
natural environments relative to the number of individuals compared,
assessing which climate characteristics drive these flowering traits has
been difficult. We applied a multidisciplinary approach to ten
winter-annual Arabidopsis thaliana populations originating along a wide
climactic gradient in Norway. We paired a variable reduction strategy to
assess which of 100 climate descriptors from their home sites correlated
most to their behaviors when grown in common garden and assessed
sequence variation of 19 known environmental-response flowering genes.
We show that long-day sensitivity and late flowering may be driven not
by risk of spring frosts, but by growing season temperature and length
perhaps to opportunistically maximize growth.
Child Mental Health during COVID 19 Pandemic -A Case Study
Authors: Arora Saachi , Varma Ruchi , Sharma Vibha
Published: October 2022

The present article is an attempt to highlight some of the major
psychosocial issues faced by children during the pandemic through a case
study. The study emphasizes upon a child’s mental health care during the
covid-19 pandemic. he case study can help clinicians, mental to
understand the emotional, behavioral impact
Image-guided endoscopic sinus surgery for patients with chronic rhinosinusitis: a systematic review and meta-analysis
Authors: Nobre Maria Luísa , Sarmento Ayane Cristine , Bedaque Henrique de , Medeiros Kleyton , Cobucci Ricardo , Gonçalves Ana
Published: October 2022

Objective: The aim of this study was to compare the quality of life and
complications of endoscopic sinus surgery, with and without image
guidance, in patients with chronic rhinosinusitis. Design and setting:
Systematic review and meta-analysis of clinical trials. PubMed, Embase,
Scopus, Web of Science, SciELO, Cochrane Central Register of Controlled
Trials, LILACS, and ClinicalTrials.gov were searched on April 22, 2022.
Main outcome measures: A search strategy was used to retrieve clinical
trials that compared the quality of life and complications of endoscopic
sinus surgery with and without image guidance from the databases. The
risk of bias was assessed using the Cochrane Risk of Bias tool. RevMan
5.4. was used for data synthesis. The Preferred Reporting Items for
Systematic Reviews and Meta-Analyses guidelines were followed. The
Grading of Recommendations Assessment Development and Evaluation method
was used to evaluate the strength of the evidence. Results: A total of
3281 articles were retrieved from the databases. Six studies met the
inclusion criteria, and five could be combined by meta-analysis (638
patients). Image guidance showed improved efficacy in opening diseased
paranasal sinuses compared with conventional endoscopic sinus surgery
(risk ratio: 0.19; 95% confidence interval, 0.04-0.85; p = 0.03). There
was a trend toward a reduction in complications with image-guided
surgery, although it did not reach statistical significance (risk ratio:
0.53; 95% confidence interval, 0.20-1.41; p = 0.20). Conclusion: Image
guidance is an important tool that helps improve surgical results and
possibly increases the safety and quality of life of patients with
chronic rhinosinusitis.
Methodology for the determination of specific factors of road transport emission
Authors: Manojlovic Aleksandar , Radosavljevic Dusan , Medar Olivera , Sever Drago
Published: October 2022

Most of the air pollution originates from combustion processes, whereby traffic is one of the most important sources. Road traffic is one of the leading factors of pollution, so determining its contribution pollution and overall emissions is very important. This study is a tool to develop a calculus method to determine the specific and annual emissions from road transport. The estimation was carried out using the methodology developed for combustion analysis. The study was based on vehicle fleet composition, fuel, and engine data, which represented the input for the combustion process simulation, while the output was combustion products. The following gases (chemical species) were included in the analysis: CO2, CO, and NOx. In the end, the specific emission factors, as well as bulk emission factors for urban and open road transport were derived. The results showed good agreement with the results of other authors.
Performance evaluation of indirect type forced convection solar mango dryer: A sustainable way of food preservation
Authors: Behera Debashree , Mohanty Ramesh , Mohanty Ardhendu
Published: October 2022

India like other developing countries adopts many food preservation technologies using fossil fuels. But the fossil fuel resource depletes over the years and is non-renewable. Therefore, solar drying technology is preferred as a sustainable method for food preservation. The present study is aimed at a sustainable livelihood initiative for drying fruits and vegetables through solar technology intervention using an indirect forced convection type solar dryer. Such a dryer of 15 kg capacity has been designed and fabricated for drying mangoes. Performance indicators such as instantaneous collector efficiency, drying efficiency, drying rate, COP, heat utilization factor, and moisture content on a dry basis are evaluated as 59%, 32.25%, 0.15178 kg/hr, 0.77, 0.229, and 2.55, respectively by considering maximum outlet collector temperature, drying chamber temperature and atmospheric temperature. Economic indicators such as pay-back period and cost-benefit ratio are also evaluated as 1.439 and 2.0008, respectively. The dryer can be used by rural people of Odisha for earning their livelihood.
Simulation of non-Fourier heat conduction in discontinuous heterogeneous materials based on the peridynamic method
Authors: Zhou Luming , Zhu Zhende , Que Xiangcheng
Published: October 2022

Discontinuous heterogeneous materials, such as rocks and concrete, exhibit non-Fourier heat conduction. To predict this type of conduction behavior in discontinuous materials, a bond-based peridynamic heat conduction model based on the peridynamic theory was derived by introducing the dual-phase-lag model. The model was verified by the results obtained using other numerical methods. The Weibull distribution function was introduced to describe the heterogeneity in the thermal conductivity. The heat conduction in a plate with two pre-existing cracks under thermal shock was simulated. The effects of phase lag and heterogeneity were discussed. The results showed that the heat transfer rate is mainly controlled by the phase lag ?q of the heat flux. When ?q remains unchanged, the heat transfer rate increases with the increase in the phase lag ?T of the temperature gradient. The influence of cracks on the temperature field is mainly reflected in the area near the crack end. Although the temperature in the local area may be positively correlated with ?T in the short term, the long-term influence of the factor becomes increasingly weaker. The proposed method has a wide application prospect in simulating non-Fourier?s heat conduction in discontinuous heterogeneous materials.
Efficacy of Acupuncture for Treatment of Atopic Eczema and Chronic Eczema: A Systematic Review and Meta-analysis
Authors: Jwo Jhen-Yu , Chiou Katie , Tsai Jerry , Huang Yu-Chen , Lin Chia-Yu
Published: October 2022

Abstract is missing (Short communication)