bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rapid Rate Intravenous Immunoglobulin Administration: Safety Outcomes in 11,334 Infusions
Authors: Rashid Nazia , Rigas Michael , Piracha Fawad , Alqadri Syeda 
Published: August 2021

A national home infusion services provider (KabaFusion, LLC) traditionally administered intravenous immunoglobulin (IVIG) at conservative maximum infusion rates to minimize adverse drug reactions (ADRs). The objective of this retrospective observational study was to identify the impact of increased on-label infusion rates of a specific, high-purity product (Octagam) on patient safety. The study included all patients who received IVIG over a 10-year period. The study population was composed of both adult and pediatric patients, with neuroimmune, neuromuscular disorders, and primary immune deficiency diseases warranting IVIG treatment. Patients were divided into two randomized groups to provide an even distribution for analysis: those who received IVIG infusions at a rate of <110 mL/hr (Group 1) and those who received IVIG at ³110 mL/hr (Group 2). There were 489 patients identified for inclusion in Group 1 (n=245) and Group 2 (n=244). Demographics (gender, age) and exposure (number of infusions) were similar between both groups.

The study data included 11,334 total IVIG infusions with a total of 392 ADRs (3.5%). ADRs in the high infusion rate group (Group 2) were significantly lower (5.1% vs.1.8%, p<0.0001). In addition, the incidence of non-serious ADRs in Group 2 (1.7%) vs. Group 1 (4.8%) were also significantly lower in the high infusion rate group (p<0.0001). The number of serious adverse drug reactions (SADRs) was lower in Group 2 but did not reach statistical significance (Group 1: 0.3% vs Group 2:0.1%, p=0.0741). Based on these results, infusion rates of specific high-purity IVIG products were associated with statistically and clinically significant lower non serious ADRs in both the adult and pediatric populations, in addition to having an association of clinical significance in both for SADRs. These results can be of great utility in clinical application if applied within the manufacturer’s recommended guidelines, to ease the burden of time required for patients undergoing IVIG infusions.
DIGITAL TRANSFORMATION OF COMPANIES AS A TOOL OF CRISIS MANAGEMENT: АN EMPIRICAL RESEARCH OF THE IMPACT ON EFFICIENCY
Authors: Kochetkov E. P. , Zabavina A. A. , Gafarov M. G. 
Published: August 2021

The economic crisis generated by the coronavirus pandemic has acted as an accelerator for the digital transformation of almost all economic entities, as a result of which it has become a massive phenomenon. However, this situation has shown that the practical development of digital transformation as a tool for business management in the digital economy requires its theoretical understanding, the formation of a theoretical basis and a scientific definition of the essence of digital transformation of companies. In particular, one of the key problems in the implementation of digital transformation at the present time is the assessment of its effectiveness, since in most cases it does not always end successfully. At the same time, knowledge of approaches and criteria for the effectiveness of digital transformation can improve the quality of its implementation. The purpose of the study is to study approaches to assessing the effectiveness of digital transformation, to determine its nature and essence at a theoretical level, as well as to conduct an econometric analysis of the contribution of digital transformation to achieving the company's efficiency.In the course of the study the existing approaches to defining the essence of digital transformation were studied, its key elements that make up the basis were established, and the existing approaches to assessing the effectiveness of digital transformation of a company and its impact on business efficiency were studied. The absence of a unified approach to assessing the effectiveness of digital transformation and the main reasons for this problem have been established. Based on the results of the regression analysis of a sample of the largest companies of the pre-digital era, implementing digital transformation, the formulated hypothesis about the impact of digital transformation on the short-term performance of the company (profitability) was refuted, which allowed us to assume the strategic nature of this tool, the results of which are formed over a lag of time.When writing the article, various scientific research methods were used: deduction and induction when conducting empirical analysis of the activities of companies implementing digital transformation, analytical methods and regression analysis.The obtained results of the study contribute to the development of the theory of assessing the effectiveness of digital transformation of business, anti-crisis management and determine the directions for further theoretical developments.
Analisis Kompetensi dan Kesiapan Mahasiswa PGSD dalam Pengelolaan Pembelajaran ABK di Sekolah Inklusi
Authors: Poerwanti Endang , Sulistyani Nawang 
Published: August 2021

One of the superior profiles that prospective elementary school teacher students should have is competence in providing inclusive education services. The importance of these competencies is analyzed in this study to describe the competence and readiness of University Muhammadiyah Malang Elementary School Teacher Education Study Program students in managing ABK learning in inclusive schools. The mixed-method research with research subjects was 300 students, five lecturers, and one East Java inclusion development team. The research data were collected through a group discussion forum, questionnaires, and documentation which were analyzed using descriptive qualitative and quantitative techniques. From the research results obtained the formulation of ten competencies in the management of inclusive learning that should be mastered by prospective elementary school teacher students. The results also showed that the majority of UMM PGSD Study Program students had good readiness in mastering the ten competencies, including 85 percent mastering criteria 1, 2, 3, 4, 7, and 8; 65 percent mastered criteria 5 and 6; 80 percent mastered criteria 9 and 10. Salah satu profil unggul yang hendaknya dimiliki mahasiswa calon guru SD adalah kompetensi dalam memberikan layanan pendidikan inklusi. Pentingnya kompetensi tersebut dianalisis dalam penelitian ini dengan tujuan untuk mendeskripsikan kompetensi dan kesiapan mahasiswa Prodi PGSD Universitas Muhammadiyah Malang dalam pengelolaan pembelajaran ABK di sekolah inklusi. Penelitian ini menggunakan mix method dengan subjek penelitian adalah 300 mahasiswa, lima dosen dan satu tim pengembang inklusi Jawa Timur. Data penelitian dikumpulkan melalui forum group discussion, angket dan dokumentasi yang dianalisis dengan teknik deskriptif kualitatif dan kuantitatif. Dari hasil penelitian diperoleh rumusan sepuluh kompetensi pengelolaan pembelajaran inklusi yang hendaknya dapat dikuasai mahasiswa calon guru SD. Hasil penelitian juga menunjukkan bahwa mayoritas mahasiswa Prodi PGSD UMM memiliki kesiapan yang baik dalam menguasai sepuluh kompetensi tersebut, antara lain 85 persen menguasai kriteria 1, 2, 3, 4, 7 dan 8; 65 persen menguasai kriteria 5 dan 6; 80 persen menguasai kriteria 9 dan 10.
Wellbeing index avoiding scaling and weights
Authors: Chakrabartty Satyendra Nath 
Published: August 2021

Objective: Existing well-being measures differ in terms of number and format of items, factors being measured, aggregation methods, and are not comparable. A well-being measure involves combining n- number of indicators and quality of the measure depends on properties of combining procedures adopted. The paper proposes two assumption-free aggregation methods to satisfy the desired properties of an index Methods: The paper proposes two indices of well-being in terms of cosine similarity and Geometric mean (GM) avoiding problems associated with scaling of raw data and choosing of weights. Empirical illustration is provided on application of the proposed measures. Results: The proposed indices give better admissibility of operations and satisfy properties like time-reversal test, formation of chain indices, computation of group mean and statistical tests for comparison across time and space. The preferred index can be constructed even for skewed longitudinal data and helps to reflect path of improvement registered by a country/region over time. Conclusions: The index based on GM is preferred due to wider application areas. The index can further be used for classification of countries, sub-groups and even individuals with morbidity in terms of overall wellbeing values. Future studies suggested.
Inclusão da Pessoa com Deficiência nas Políticas Públicas de Emprego em Moçambique
Authors: Batone Domingos Carlos 
Published: August 2021

O artigo discute a inclusão das Pessoas com Deficiência no mercado de trabalho moçambicano através de duas (2) dimensões das políticas públicas de emprego, nomeadamente, as passivas que fornecem suporte de renda para pessoas desempregadas por meio do seguro-desemprego e outros subsídios sociais, bem como as activas, destinadas a ajudar os deficientes desempregados a voltar ao trabalho com novas competências, por meio dos programas de treinamento e criação directa de emprego no sector público e privado. Embora ambas as abordagens tenham as suas valências, serão aplicadas na prática para verificar o nível de inclusão das PcD nas políticas públicas de emprego, identificar as alternativas e desafios para a sua Implementação. Recorrendo a uma metodologia mista, será operacionalizada a consulta bibliográfica, estatísticas do Quarto Censo Geral de 2017 e aplicadas entrevistas aos deficientes que integram a organização TV Surdo, vocacionada na defesa dos direitos das PcD. No entanto, a continuidade das práticas de descriminação e estigmatização limitam cada vez mais o seu acesso ao mercado de trabalho, demandando assim por medidas que promovam acções afirmativas para este grupo prioritário. O estudo chegou a conclusão de que, as políticas públicas de emprego em Moçambique são predominantemente passivas, no entanto, dos subsídios alocados desde 2018 até 2021 não sofreram nenhum incremento, apesar do comportamento da inflação demostrar o aumento do alto custo de vida. Assim, recomenda-se que as medidas passivas devem continuar, desde que sejam mais inclusivas e os empregadores precisarão de ser socializados a participar nos programas que revitalizem as políticas activas para este grupo vulnerável.
​Agro-morphlogical and Quality Characters in two Summer Legume Crops: Mung Bean [Vigna radiata (L.) Wilczek] and Guar [Cyamopsis tetragonoloba (L.) Taub] Genotypes Grown in Mediterranean Climate Conditions
Authors: Ton Aybegün 
Published: August 2021

Background: The aim of the present study was to investigate the grain yield, some yield components and quality parameters of mung bean and guar genotypes as summer legumes in East of Mediterranean region of Turkey. Methods: The field experiments were organized in randomized complete blocks design (RCBD) with three replications throughout 2016 and 2018. Result: The greatest the grain yield of mung bean was achieved by genotype KPS1 (3141kg ha-1) and lowest one was obtained from VC6153B6 (2344 kg ha-1) in the average of years. According to the mean years, maximum grain yield of guar was produced by genotype 45 (2354 kg ha-1), while the lowest grain yield was obtained from genotype 37 (1561 kg ha-1). Ash, crude protein, ADF and NDF contents in mung bean genotypes varied beetwen 2.8 and 3.0%, 21.9 and 25.3%, 30.8 and 34.6% and 41.3 and 49.7% in the average of years, respectively. Guar genotypes contain 90.3 to 90.7 drymatter, 4.8 to 5.0% crude ash, 3.8 to 4.6% crude fat, and 33.2 to 35.4% crude protein.
Estimación y análisis de los gastos e ingresos económicos de la población flotante estudiantil universitaria de pregrado en la ciudad de Tunja, Colombia
Authors: Triana María Isabel Rojas 
Published: August 2021

Este artículo muestra la estimación de un modelo de demanda del gasto e ingreso económico que ejercen los estudiantes flotantes en la ciudad de Tunja. Está basado en una aplicación a la función de Engel propuesta por Working-Lesser, tomando datos de una encuesta hecha a una muestra de estudiantes flotantes universitarios de pregrado de la ciudad de Tunja, a quienes se les indaga por algunas variables socioeconómicas, entre ellas el gasto y el ingreso. La demanda más relevante de los estudiantes flotantes está dada por el gasto que ejercen en vivienda, observado a partir del valor de los coeficientes del sistema de ecuaciones planteado en el modelo.
PERAN GOOD CORPORATE GOVERNANCE DALAM MEMINIMALISIR TERJADINYA FINANCIAL DISTRESS
Authors: Sa’diah Wulan Maulidiss , Utomo Mohamad Nur 
Published: August 2021

This study aims to determine the effect of managerial ownership, independent board of commissioners, board of directors, and audit committee on financial distress in banking companies listed on the Indonesia Stock Exchange from 2015 to 2019. This research used the purposive sampling method with a sample of 41 companies consisting of 205 observational data. Data were analyzed using logistic regression. The results showed that independent board of commissioners and board of directors had a significant and negative effect on financial distress. However, managerial ownership and audit committee did not have a significant effect on financial distress. This study supports the agency theory, which states that the monitoring role of the independent board of commissioners and the board of directors can minimize the occurrence of agency conflicts in a company.
Keywords: audit committee, board of directors, financial distress, independent board of commissioners, managerial ownership
INKLUSI KEUANGAN DAN TEKNOLOGI, P2P LENDING, KEMISKINAN DAN PENGEMBANGAN SUMBER DAYA MANUSIA AGREGAT
Authors: Bawono Suryaning , Wilantari Regina Niken 
Published: August 2021

This study aims to find the development of aggregate human resources based on human capital investment in poverty alleviation efforts in Indonesia. The data used is secondary data obtained and processed from the Indonesian Financial Services Authority and the world bank. This study uses a vector error correction model to estimate, simulate, and predict each of the variables studied to provide an overview of the opportunities and threats of technological inclusion and financial inclusion in poverty reduction efforts based on human capital investment in the education-based human capital framework. Inclusion has the potential to be an opportunity to reduce the cost of education so that human capital investment efforts in the framework of education-based human capital work by the poor have a higher chance of success. Financial inclusion support from official P2P lending can also support poor people's capital in investing in human capital, but with low interest and must be close to zero and would be better with zero interest.
Keywords: education, financial inclusion, human resources, P2P lending, poverty alleviation
An organic solvent-based protocol for depletion of abundant proteins in plasma of Leprosy patients
Authors: Barik Sushanta Kumar , Kirti  , Maurya Kratika , Chauhan Namrata Kumari , Nitu  , Varshney Deepika , Mohanty Keshar Kunja 
Published: August 2021

Abstract
In present study protein was purified from human plasma with the method involving organic solvents. Organic solvents like chloroform, methanol and isopropanol remove the lipoproteins and glycoproteins whereas TCA and Acetone are known to deplete the abundant proteins like albumins and globulins from the plasma of the blood. Purified protein was subjected to the estimation by Bradford Assay (96 well plate method). In this process a dye called Brilliant Blue forms complex with the purified protein of plasma because of which the maximum absorption of dye shifts to 595nm. So, the absorbance was observed at wavelength of 595nm. Purified protein along with unpurfled plasma was imposed on SDS-PAGE. SDS (sodium dodecyl sulphate) is an anionic detergent which first denatures the protein and then provides all the protein fragments a negative charge. After which polyacrylamide gel the separates the protein fragments on the basis of their molecular mass. Results of SDS-PAGE concluded that the protein was purified when its bands were compared to that of unpurfled plasma, which means the treatment with organic solvents is useful in purifying protein from plasma of leprosy patient.
Source Apportionment of Urban Road Dust Using Four Multivariate Receptor Models
Authors: Jose Jithin , B SRIMURUGANANDAM 
Published: August 2021

Abstract
Road dust is one of the biggest contributors to airborne particulate matter (PM) in many urban regions. Due to the inherent heterogeneity of road dust, it is important that its sources are identified and mitigated. Multivariate receptor models are used for source apportionment of PM in many cities. In recent years, these receptor models are finding more applications outside the scope of PM source apportionment. In this study, four multivariate receptor models (Unmix, Positive Matrix Factorization, Principal Component Analysis and Multiple Curve Regression) are used for source apportionment of road dust at Vellore City, India. The elemental composition of road dust samples from 18 locations and for three seasons (summer, winter, and monsoon) are measured using acid digestion followed by Inductively Coupled Plasma - Optical Emission Spectroscopy. Irrespective of models, results showed that crustal material (100% - 68%) and resuspended road dust (82% - 15%) are the biggest contributor to road dust in the study region. Brake wear, tire wear, biomass combustion, vehicular emission and industrial sources are some of the other sources identified by the receptor models. Receptor modeling performance of MCR and PCA models are unsatisfactory. PMF and Unmix models gave acceptable results. From comparing the performance characteristics, Unmix is found to be the ideal receptor model for this dataset. This research clarifies the constraints of different receptor models and the source apportionment information obtained is critical for development of future policy and regulation.
Outcomes After Receipt of Neuraxial or Regional Anesthesia Instead of General Anesthesia for Lower Limb Revascularization Surgery: Protocol for a Systematic Review and Meta-Analysis
Authors: Roberts Derek J. , Dreksler Hannah , Nagpal Sudhir K. , Li Allen , Leigh Jeanna Parsons , Brandys Timothy , Jetty Prasad , Dubois Luc , Stelfox Henry T. , McIsaac Daniel I. 
Published: August 2021

Abstract
Background: Patients undergoing lower limb revascularization surgery have a high-risk of perioperative morbidity and mortality and often have long hospital stays. Use of neuraxial or regional anesthesia instead of general anesthesia may represent one approach to improving outcomes and reducing resource use among these patients. We propose to conduct a systematic review and meta-analysis to determine whether receipt of neuraxial or regional anesthesia instead of general anesthesia in adults undergoing lower limb revascularization surgery results in improved health outcomes and costs and a shorter length of hospitalization. Methods: We will search electronic bibliographic databases (MEDLINE, EMBASE, and the seven databases in Evidence-Based Medicine Reviews), review articles identified during the search, and included article bibliographies. We will include randomized and non-randomized studies comparing use of neuraxial or regional anesthesia instead of general anesthesia in adults undergoing lower limb revascularization surgery. Two investigators will independently evaluate risk of bias. The primary outcome will be short-term mortality (in-hospital or 30-day). Secondary outcomes will include longer-term mortality; major adverse cardiovascular, pulmonary, and renal events; delirium; deep vein thrombosis or pulmonary embolism; major adverse limb events; neuraxial or regional anesthesia-related complications; graft-related outcomes; length of operation and hospital stay; costs; and patient-reported or functional outcomes. We will calculate summary odds ratios and standardized mean differences using random-effects models. Heterogeneity will be explored using stratified meta-analyses and meta-regression. We will assess for publication bias using Begg’s and Egger’s tests and use the trim-and-fill method to estimate the potential influence of this bias on summary estimates. Finally, we will use Grading of Recommendations, Assessment, Development, and Evaluation methodology to make an overall rating of the quality of evidence in our effect estimates.Discussion: This study will synthesize existing evidence regarding whether receipt of neuraxial or regional anesthesia instead of general anesthesia in adults undergoing lower limb revascularization surgery results in improved health outcomes, graft patency, and costs, and a shorter length of hospital stay. Study results will be used to inform practice and future research, including creation of a pilot and then multicenter randomized controlled trial. Systematic Review Registration: Submitted to PROSPERO February 12, 2020.
Assessing climate and human activity effects on lake characteristics using spatio-temporal satellite data and an emotional neural network
Authors: Mojtahedi Alireza , Dadashzadeh Mehran , Azizkhani Mostafa , Mohammadian Abdolmajid , Almasi Ramin 
Published: August 2021

Abstract
Different sensing methods provide valuable information for comprehensive monitoring strategies, which are crucial for the ecological management of lakes and watersheds. Subsequently, the resulting spatio-temporal information can be considered the fundamental knowledge for the water resources management of watersheds. Lake Urmia is deemed one of the most important aquatic habitats in Iran. It has been experiencing significant changes during recent years due to climate change, anthropogenic activities, and a lack of coherent management approaches. Hence, awareness of the hydro-ecological factors during the last few decades is critical for identifying the problems. In this research, the impacts of changes in key parameters such as precipitation, evapotranspiration, water surface temperatures, suspended sediment concentration, saline features, and vegetation are explored using satellite imagery. The primary purpose of this study is to evaluate the Lake Urmia crisis concerning human-involved and climate factors such as the agriculture sector and construction of the causeway. In this regard, a limbic based Emotional Artificial Neural Network (EANN) is developed as a non-linear universal mapping and implemented for the first time to demonstrate the interactions between the considered hydro-ecological factors and the sensitivity of the two indicators the lake health. Providing a comprehensive spatio-temporal analysis is another objective of this study in order to detect the onset of deterioration in the parameters. The values of the efficiency criteria were measured to evaluate the sensitivity of the EANN models to the related inputs. The quantitative results confirm that the combination of both climate and anthropogenic factors, including the agricultural sector's overdraft, leads to the most efficient EANN model and, consequently, is considered the leading cause of the crisis.