bluuebunny/crossref_metadata_2025_split huggingface dataset:
Radial symmetry molding skull roundness: a human fetal MR study
Authors: Serrao Graziano , Corte Emanuele La , Triulzi Fabio , Longoni Salvatore , Ruggiero Federica , Biganzoli Elia 
Published: July 2021

Abstract
The aim of this study consists in evaluating the morphological integration and molding shape of the human fetal craniofacial complex development on MR sagittal images. The sella point has been used as a reference point to build eleven dimensional parameters encompassing the craniofacial complex. Data and measurements obtained were statistically analyzed by PCA. The designed rays were significantly correlated, normally distributed and characterized by linearity over the overall fetal development. These findings showed that the craniofacial units are clustering together, whereas craniobasal and craniopharyngeal traits are spread. The data analysis supported the efficacy of specific morphological traits to evaluate differences emerging during the modeling growth processes. Skull modeling seems to be characterized by a rotational symmetry around the sella as inertial point. We firstly present the intriguing hypothesis through which the skull development grows along a dihedral angle symmetry made of a both rotational and reflection vector.
Reconfigurable Training, Vortex Writing and Spin-Wave Fingerprinting in an Artificial Spin-Vortex Ice
Authors: Gartside Jack , Stenning Kilian , Vanstone Alex , Dion Troy , Holder Holly , Arroo Daan , Kurebayashi Hidekazu , Branford Will 
Published: July 2021

Abstract
Strongly-interacting artificial spin systems are moving beyond mimicking naturally-occurring materials to find roles as versatile functional platforms, from reconfigurable magnonics to designer magnetic metamaterials. Typically artificial spin systems comprise nanomagnets with a single magnetisation texture: collinear macrospins or chiral vortices. By tuning nanoarray dimensions we achieve macrospin/vortex bistability and demonstrate a four-state metamaterial spin-system ‘Artificial Spin-Vortex Ice’ (ASVI). ASVI is capable of adopting Ising-like macrospins with strong ice-like vertex interactions, in addition to weakly-coupled vortices with low stray dipolar-field. The enhanced bi-texture microstate space gives rise to emergent physical memory phenomena, with ratchet-like vortex training and history-dependent nonlinear training dynamics. We observe vortex-domain formation alongside MFM tip vortex-writing. Tip-written vortices dramatically alter local reversal and memory dynamics. Vortices and macrospins exhibit starkly-differing spin-wave spectra with analogue-style mode-amplitude control via vortex training and mode-frequency shifts of ∆f = 3.8 GHz. We leverage spin-wave ‘spectral fingerprinting’ for rapid, scaleable readout of vortex and macrospin populations over complex training-protocols with applicability for functional magnonics and physical memory.
Effect of friction on transverse vibration of string under moving load
Authors: Prajapati Kamal Kishor , Roy Soumyajit 
Published: July 2021

Abstract
Many engineering applications involve exerting moving harmonic load on a string like structure. Usually the interface between these structures and the moving load has some friction. A common example is a pantograph catenary system, which is used in locomotives for power collection. The aim of this paper is to develop a mathematical model of a simplified system consisting of infinitely long axially tensioned continuum and a moving harmonic load with friction acting at the interface. Equation of motion has been derived by resolving forces at that point. Subsequently the basic characteristics of the system are obtained by solving the model numerically. It is observed that the effect of friction obtained is negligibly low higher value of axial tension, but can significantly increase the string response at a particular range of coefficient of friction value when the axial tension is low.
High-Throughput Transcription-mediated amplification (TMA), a real and consolidated alternative for the diagnosis of SARS-COV2. Review.
Authors: GARCÍA-FERNÁNDEZ FRANCISCO JAVIER 
Published: July 2021

Abstract
The exceptional situation in which we have found ourselves since the first case of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was identified, which rapidly evolved into a global pandemic, translated into the need to incorporate the largest number of diagnostic tests to detect possible cases and contain the spread of the virus. The FDA authorized different trials using emergency procedures. One of the molecular assays adapted to the diagnosis of COVID19 is the transcription-mediated amplification (TMA) assay. We intend to answer the questions that are asked from a laboratory when a new technique is introduced. How does it work? Are your results comparable to gold standard techniques in terms of agreement and limit of detection? After the systematic review of the literature, an almost perfect concordance between the TMA and the RT-PCR was observed, taking into account the values of Cohen's kappa coefficient, positive percentage agreement, negative percentage agreement and global percentage agreement close to 100%. Regarding the concordance between the results obtained by TMA and the antigenic test, it presents a lower concordance, although it is true that the latter test is only optimal for the detection of SARS-CoV2 in a specific profile of patients. The literature shows that the TMA test has been used to study possible cases of reinfection. After analyzing the results, we concluded in the proven consolidation of TMA for the diagnosis and follow-up of SARS-COV2.
Evaluation of water lettuce, giant salvinia and water hyacinth systems in phytoremediation of domestic wastewater
Authors: Mustafa Hauwa Mohammed , Hayder Gasim 
Published: July 2021

AbstractThe objective of this research was to ascertain the best conditions for efficient applications of water lettuce, giant salvinia and water hyacinth in improving the quality of low strength domestic wastewater. Water quality assessment of the wastewater samples before (influent) and after treatment (effluent) with effect to retention times (6, 12 and 24 h) was analysed. The outcome of the study at 6 h retention showed that water lettuce (6.8–7.0 pH, 50.5% colour, 46.7% biochemical oxygen demand (BOD) and 37.8% chemical oxygen demand (COD)), giant salvinia (6.9–7.1 pH, 40.5% colour, 60% BOD and 43.2% COD) and water hyacinth (6.7–6.9 pH, 45.5% colour, 53% BOD and 35.1% COD) reduction values were achieved. At 12 h retention, water lettuce (6.6–7.0 pH, 57.2% colour, 77.1% BOD and 74.6% COD), giant salvinia (6.4–6.8 pH, 81.1% colour, 66.7% BOD and 72.2% COD) and water hyacinth (6.4–6.7 pH, 61.9% colour, 70% BOD and 61.1% COD) reduction values were achieved. Similarly, for 24 h retention, water lettuce (6.6–7.0 pH, 76.7% colour, 53.2% BOD and 70.3% COD), giant salvinia (6.6–7.0 pH, 91.4% colour, 74.7% BOD and 81.0% COD) and water hyacinth (6.4–6.9 pH, 74% colour, 58% BOD and 67.2% COD) reduction values were achieved. These findings indicated that the retention times of 12 and 24 h provided suitable conditions to break down the organic contaminants present in the shallow ponds.
Drinking water quality assessment of river Ganga in West Bengal, India through integrated statistical and GIS techniques
Authors: Ali Syed Yakub , Sunar Sangeeta , Saha Priti , Mukherjee Pallavi , Saha Sarmistha , Dutta Suvanka 
Published: July 2021

Abstract
An attempt has been made to assess the water quality status of the lower stretch of river Ganga flowing through West Bengal for drinking using integrated techniques. For this study, 11 parameters at 10 locations from Beharampur to Diamond Harbour over nine years (2011–2019) were considered. The eastern stretch of Ganga showed a variation of Water Quality Index (WQI) from 55 to 416 and Synthetic Pollution Index (SPI) from 0.59 to 3.68 in nine years. The result was endorsed through a fair correlation between WQI and SPI (r2 &gt; 0.95). The map interpolated through GIS revealed that the entire river stretch in the year 2011, 2012, and 2019 and location near to ocean during the entire period of nine years were severely polluted (WQI &gt; 100 or SPI &gt; 1). Turbidity and boron concentration mainly contribute to the high scores of indices. Further, the origin of these ions was estimated through multivariate statistical techniques. It was affirmed that the origin of boron is mainly attributed to seawater influx, that of fluoride to anthropogenic sources, and other parameters originated through geogenic as well as human activities. Based on the research, a few possible water treatment mechanisms are suggested to render the water fit for drinking.
Hydraulic performance of helical-step dropshaft
Authors: Ren Weichen , Wu Jianhua , Ma Fei , Qian Shangtuo 
Published: July 2021

Abstract
Aiming to achieve energy dissipation and prevention of cavitation erosion, a kind of dropshaft in urban drainage systems called the helical-step dropshaft is introduced in this paper. It dissipates flow energy by means of step geometry and prevents cavitation erosion through air entrainment. To verify its availability, the hydraulic characteristics of the helical-step dropshaft were experimentally investigated, including the flow regimes, the efficiency of energy dissipation, characteristics of air entrainment and pressure distribution. The results demonstrate that, even for a large discharge, flow can be discharged smoothly and steadily, and a high energy-dissipation rate of over 87% is achieved. There are three distinct flow regimes observed in the dropshaft, namely nappe flow, mixed flow and skimming flow. Moreover, there is no less than 1.6% air concentration and a reasonable pressure distribution on the step surface. This study provides an attractive alternative for the design of drop structures.
Predicting optimal treatment regimens for patients with HR+/HER2- breast cancer using machine learning based on electronic health records
Authors: Cui Zhanglin Lin , Kadziola Zbigniew , Lipkovich Ilya , Faries Douglas E , Sheffield Kristin M , Carter Gebra Cuyun 
Published: July 2021

Aim:
To predict optimal treatments maximizing overall survival (OS) and time to treatment discontinuation (TTD) for patients with metastatic breast cancer (MBC) using machine learning methods on electronic health records.
Patients/methods:
Adult females with HR+/HER2- MBC on first- or second-line systemic therapy were eligible. Random survival forest (RSF) models were used to predict optimal regimen classes for individual patients and each line of therapy based on baseline characteristics.
Results:
RSF models suggested greater use of CDK4 & 6 inhibitor-based therapies may maximize OS and TTD. RSF-predicted optimal treatments demonstrated longer OS and TTD compared with nonoptimal treatments across line of therapy (hazard ratios = 0.44∼0.79).
Conclusion:
RSF may help inform optimal treatment choices and improve outcomes for patients with HR+/HER2- MBC.
Learning Analytics and Technology through Teaching
Authors: Kaufman Matthew , Yuthas Kristi 
Published: July 2021

ABSTRACT
Data analytics problems, methods and software are changing rapidly. Learning how to learn new technologies might be the most important skill for students to develop in an analytics course. We present a pedagogical framework that promotes self-regulated learning and metacognition and three student-driven assignments that can be used in accounting analytics and other courses that incorporate technology. The assignment can be used by faculty who do not have training in analytics. The assignments adopt a learn-through-teaching approach that helps students: (1) define a conceptual or technical knowledge gap; (2) identify resources available for filling that gap; (3) work independently to acquire the desired knowledge; (4) break knowledge into components and arrange in a logical sequence; and (5) reinforce knowledge by presenting to others in an accessible manner. These assignments equip students with confidence and capabilities that will enable them to keep up with advances in technology.
Sodium–Glucose Cotransporter 2 Inhibitors and Risk of Retinal Vein Occlusion Among Patients With Type 2 Diabetes: A Propensity Score–Matched Cohort Study
Authors: Lee Min-Kyung , Kim Bongsung , Han Kyungdo , Lee Jae-Hyuk , Kim Minhee , Kim Mee Kyoung , Baek Ki-Hyun , Song Ki-Ho , Kwon Hyuk-Sang , Roh Young-Jung 
Published: July 2021

OBJECTIVE
To assess the association between use of sodium–glucose cotransporter 2 (SGLT2) inhibitors and retinal vein occlusion (RVO) using data from the National Health Insurance Service in South Korea.

RESEARCH DESIGN AND METHODS
We used an active comparator, new user design, and nationwide data from 2014 to 2017. Based on a 1:1 propensity score match, we included 47,369 new users of SGLT2 inhibitors and 47,369 users of other glucose-lowering drugs (oGLDs). In the matched sample, we used the Cox proportional hazards model to estimate hazard ratios (HRs) with 95% CIs for developing RVO. Based on the main outcome, exploratory subgroup analyses were undertaken.

RESULTS
During a follow-up of 2.57 years, the incidence rate of RVO was 2.19 and 1.79 per 1,000 person-years in patients treated with SGLT2 inhibitors and oGLDs, respectively. The new use of SGLT2 inhibitors was associated with an increased risk of RVO compared with oGLD use (HR 1.264 [95% CI 1.056, 1.513]). In the subgroup analyses, a significant interaction with SGLT2 inhibitors was observed for age and estimated glomerular filtration rate (eGFR); the HR for RVO was higher in patients aged ≥60 years and those with eGFR &lt;60 mL/min/1.73 m2 than in others.

CONCLUSIONS
In a matched cohort study, we found that SGLT2 inhibitors were associated with a significantly increased risk of RVO. Older patients and those with chronic kidney disease were at higher risk for RVO.
Racial, Rural, and Regional Disparities in Diabetes-Related Lower-Extremity Amputation Rates, 2009–2017
Authors: Akinlotan Marvellous A. , Primm Kristin , Bolin Jane N. , Ferdinand Cheres Abdelle L. , Lee JuSung , Callaghan Timothy , Ferdinand Alva O. 
Published: July 2021

OBJECTIVE
To examine the racial/ethnic, rural-urban, and regional variations in the trends of diabetes-related lower-extremity amputations (LEAs) among hospitalized U.S. adults from 2009 to 2017.

RESEARCH DESIGN AND METHODS
We used the National Inpatient Sample (NIS) (2009–2017) to identify trends in LEA rates among those primarily hospitalized for diabetes in the U.S. We conducted multivariable logistic regressions to identify individuals at risk for LEA based on race/ethnicity, census region location (North, Midwest, South, and West), and rurality of residence.

RESULTS
From 2009 to 2017, the rates of minor LEAs increased across all racial/ethnic, rural/urban, and census region categories. The increase in minor LEAs was driven by Native Americans (annual percent change [APC] 7.1%, P &lt; 0.001) and Asians/Pacific Islanders (APC 7.8%, P &lt; 0.001). Residents of non-core (APC 5.4%, P &lt; 0.001) and large central metropolitan areas (APC 5.5%, P &lt; 0.001) experienced the highest increases over time in minor LEA rates. Among Whites and residents of the Midwest and non-core and small metropolitan areas there was a significant increase in major LEAs. Regression findings showed that Native Americans and Hispanics were more likely to have a minor or major LEA compared with Whites. The odds of a major LEA increased with rurality and was also higher among residents of the South than among those of the Northeast. A steep decline in major–to–minor amputation ratios was observed, especially among Native Americans.

CONCLUSIONS
Despite increased risk of diabetes-related lower-limb amputations in underserved groups, our findings are promising when the major–to–minor amputation ratio is considered.
El reto profesional para los contadores públicos ante las innovaciones sociales
Authors: Changmarín Reyes Carlos Antonio 
Published: July 2021

En la investigación cualitativa que dio origen a este escrito se estudió la actuación del contador público desde el año 1951 hasta la fecha, para conocer los principales retos del profesional contable frente al manejo de los datos y las nuevas tecnologías, así como el devenir de la profesión en el tiempo. Para tal efecto, se consultaron autores de bases de datos arbitradas. Se puede afirmar de ello que los retos han sido muchos, y que todos los inventos tecnológicos han contribuido como herramientas para mejorar el ejercicio de este profesional —en beneficio de la empresa—; ello le ha conferido un rol principal en el manejo de sistemas actuales como blockchain y big data, entre otros. Se afirma con esto que la profesión de contador público cuenta con un gran futuro, siempre y cuando se mantenga en un riguroso programa de actualización.
Reviewing Local Revenue Capacity in Indonesia
Authors: Kartika Metasari 
Published: July 2021

Fiscal capacity through Local Own-Source Revenuedescribes the region's ability to explore existing sources of income in the region. Data from BPS (2019) on the level of regional independence shows 11 provinces in the low category, 15 provinces in the low category, and eight provinces in the moderate category. Until now, no province in Indonesia has been included in the high category of regional independence. The novelty of this study, trying to revisit the issue of Local Own-Source Revenue in Indonesia. The purpose of the study was to analyze the influence of per capita GDP variables, the value of the trade sector, and the value of the agricultural sector on Local Own-Source Revenuecapacity. Local Own-Source Revenue capacity is measured using the concept of tax capacity, namely Local Own-Source Revenuedivided by PDRB. The object of the study was 34 provinces in Indonesia during the period 2010-2019 (10 years). The research method uses an unbalanced regression panel with a fixed-effect model approach. The study results were that the per capita GDP had a positive and significant effect on Local Own-Source Revenue capacity. The trade sector had a positive and insignificant effect, and the agricultural sector had a significant negative impact on Local Own-Source Revenuecapacity. Therefore, the Provincial Government needs to continue to increase GDP per capita, issue regulations, and maintain regional conditions to support trade activities and approach the public to pay taxes, especially provincial taxes. The provincial government also needs to increase the downstream and industrialization of agricultural products to increase the capacity of Local Own-Source Revenue. Keywords: Local Own-Source Revenue; Tax Capacity
Nazhir's Professionalism in the Management of Cash Waqf and Community Economic Empowerment
Authors: Effendi M Rachmat , Rohmah Maulida Ira Siti 
Published: July 2021

This research examines Nadzir's professionalism in managing cash waqf, to map the quality of waqf institutions in the management of cash waqf in transparency and accountability in accountability to stakeholders and Allah SWT. This research uses qualitative methods through observation, interviews, and document review. The results obtained show that several Nadzir waqf, such as the Pesantren Islam Al-Azhar Foundation, the Dompet Dhafa Foundation, the Daaruttauhid Foundation, and the Semai Sinergi Ummat Foundation (Waqf Pro99), have demonstrated the management of cash waqf in a professional, transparent and accountable manner. The financial management system uses the zakat accounting standard PSAK 109. The results of an independent public accountant audit show an unqualified opinion (SWO). On average, 90% of the business results are used by social activities and community empowerment through the Wakaf Integrated Farming (WIF) program, which is focused on the field of sheep farming using the mudhorobah system. Theoretically, this research contributes to the scientific development of Islamic Institutional Management at the Faculty of Da'wah, and can be used as a reference for Nadzir waqf in managing cash waqf and waqf assets in general.
Internal and External Factors Affecting the Sales of Hype Drinks in Online Platform
Authors: Febrian Fauzan , Ahmad Nazmi Fathnur 
Published: July 2021

The Covid-19 Pandemic has hurt the beverage outlets' sales. This study investigates the strength of the internal and external factors that influenced sales in the online platforms of hype drinks. Thus, the study focused on the adaptation strategy to improve the sales in the online platform of hype drinks under environmentally-health pressures. The approach was mixed-method by obtaining the data through questionnaires, interviews, and observation. The participant in this study was consumer, employee, and owner. Data analysis is conducted under the SWOT analysis that has four steps in presenting the data. The finding concluded that internal and external factors positively impacted the business strategy to increase online sales of beverage outlets by riding the wave of hype among customers.
Efecto de un programa de prevención de lesiones en la fuerza muscular de jugadoras de fútbol profesional Colombiano
Authors: Quiceno Christian , Alfonso Mantilla Jose Ivan , Samudio María Alejandra , Del Castillo David 
Published: July 2021

RESUMEN
Introducción El fútbol, es el deporte más popular a nivel mundial, está caracterizado por ser de alta demanda fisiológica para los sistemas cardiovascular y osteomuscular. Este, es el de mayor práctica en el género masculino. Sin embargo; en los últimos tiempos se ha visto un incremento también en la práctica en el género femenino. Las deportistas tienen una fisiología diferente al género masculino, se debe trabajar de forma especial para ellas Objetivo Evaluar la efectividad de un programa de prevención de lesiones enfocado en el aumento de fuerza muscular de las cadenas anterior y posterior en mujeres futbolistas Metodología Estudio de intervención mediante un circuito preventivo en veinte y una (21) jugadoras profesionales de fútbol durante un periodo de ocho (8) semanas monitorizado mediante los sistemas SmartCoach PRO, Nordbord y Axon Jump Resultados Se registraron valores iniciales de fuerza de cadena posterior de 174 Newton y que con el trabajo de fuerza excéntrica aumentaron hasta llegar a valores de 216 Newton medido mediante el sistema Nordbord. Con el sistema Smartcoach, se realizó la evaluación de la fuerza muscular de la cadena anterior donde se obtuvo en la primera evaluación un valor de 231 Watts y en la última evaluación un valor de 343 Watts. Con el sistema Axon Jump se registró un valor inicial de 32cm y en la evaluación final un valor de 35cm obteniendo un valor de significancia estadística de P≤0,0001 para cada variable. Conclusiones. Existe una relación entre el entrenamiento excéntrico y con dispositivos isoinerciales en el aumento de variables de fuerza muscular como newton y watts en jugadoras de fútbol. En el presente estudio se registró un valor estadísticamente significativo para el aumento en fuerza de la cadena anterior y posterior con la implementación de un programa de fuerza específico. Se deben continuar realizando estudios con este tipo de tecnología con el fin de determinar perfiles de rendimiento en jugadoras de fútbol profesional.