bluuebunny/crossref_metadata_2025_split huggingface dataset:
A classification model for predicting diabetic retinopathy based on patient characteristics and biochemical measures
Authors: Kotsiliti Evangelia , Al-Diri Bashir , Hunter Andrew 
Published: April 2021

Purpose: In the United Kingdom (UK), The NHS Diabetic Eye Screening Program offers an annual eye examination to all people with diabetes aged 12 or over, aiming at the early detection of people at high risk of visual loss due to diabetic retinopathy. The purpose of this study was the design of a model to predict patients at risk of developing retinopathy with the use of patient characteristics and clinical measures. Methods: We investigated data from 2011 to 2016 from the population-based Diabetic Eye Screening Program in East Anglia. The data comprised retinal eye screening results, patient characteristics, and routine biochemical measures of HbA1c, blood pressure, Albumin to Creatinine ratio (ACR), estimated Glomerular Filtration rate (eGFR), serum creatinine, cholesterol and Body Mass Index (BMI). Individuals were classified according to the presence or absence of retinopathy as indicated by their retinal eye examinations. A lasso regression, random forest, gradient boosting machine and regularized gradient boosting model were built and cross-validated for their predictive ability. Results: A total of 6,375 subjects with recorded information for all available biochemical measures were identified from the cohorts. Of these, 5,969 individuals had no signs of diabetic retinopathy. Of the remainder 406 individuals with signs of diabetic retinopathy, 352 had background diabetic retinopathy and 54 had referable diabetic retinopathy. The highest value of the10-fold cross-validated Area under the Curve (AUC) was achieved by the gradient boosting machine 0.73 ± 0.03 and the minimum required set of variables to yield this performance included 4 variables: duration of diabetes, HbA1c, ACR and age. A subsequent analysis on the predictive power of the biochemical measures showed that when HbA1c and ACR measurements were available for longer time periods, the performance of the models was greatly enhanced. When HbA1c and ACR measurements for a 5-year period prior to the event of study were available, gradient boosting machine cross-validated AUC was 0.77 ± 0.04 in comparison to the cross-validated AUC of 0.68 ± 0.04 when only information for the 1-year period for these variables was available. Similarly, an increment from 0.70 ± 0.02 to 0.75 ± 0.04 was observed with random forest. The dataset with the 1-year measurements comprised 4,857 subjects, of whom, 4,572 had no retinopathy and the remainder 285 had signs of retinopathy. The dataset with the 5-year measurements comprised 757 subjects, of whom, 696 had no retinopathy and the remainder 51 had signs of retinopathy. Conclusions: The utilization of patient information and routine biochemical measures can be used to identify patients at risk of developing retinopathy. The effective differentiation between patients with and without retinopathy could significantly reduce the number of screening visits without compromising patients’ health.
Condensation on intraocular lenses during vitrectomy: effect of perfluorocarbon liquids
Authors: Dacquay Yann , Lee Joseph R. , Govetto Andrea , Elgeti Matthias , Hubbell Wayne L , Kavehpour Pirouz , Hubschman Jean-Pierre 
Published: April 2021

Purpose: To evaluate whether perfluorocarbon (PFO) liquids can exacerbate condensation on intraocular lenses (IOL).Methods: Two separate experiments were carried out. In the first experiment, a two-segment chamber was constructed out of glass and acrylic panels to serve as an in-vitro eye model. The chamber was placed on a non-activated cooling plate with two IOLs of the same material, one in each segment. 2.0 ml of PFO and/or water for the control were placed in the respective receptacle. The cooling plate was then activated to the desired temperatures. Condensation on the lenses was visually assessed via high-definition ultra-zoom camera by trained observers for three temperatures and three IOL materials.In the second experiment, Fourier transform infrared (FTIR) spectroscopy wasemployed to determine the composition of the droplets forming after condensation.Results: The presence of PFO liquid in a closed chamber exacerbates the intensity and likelihood of condensation on all intraocular material types. Condensation of PFO on surfaces in the presence of water was confirmed with FTIR spectroscopy by the isolation of specific absorption bands. Furthermore, material type also affects the characteristics of condensation, with silicone lenses inducing the fastest rate and intensity of condensation.Conclusions: Our study shows that the presence of perfluoro-n-octane is a significant factor in the formation of condensation on the posterior surface of IOLs when performing vitrectomy in a pseudophakic patient with posterior capsulotomy.
Test-retest reproducibility of atomic force microscopy measurements of human trabecular meshwork stiffness
Authors: Kagemann Larry , Candiello Joe , Wollstein Gadi , Ishikawa Hiroshi , Bilonick Richard A. , Sigal Ian A. , Jonescu-Cuypers Christian , Kumta Prashant N. , Schuman Joel S. 
Published: April 2021

Purpose: The purpose of the present study was to quantify test-retest reproducibility of measurements of stiffness of the human trabecular meshwork (HTM) by atomic force microscopy (AFM).
Methods: Eleven 40 μm radial limbal cryostat sections from a fresh human donor rim were mounted on charged slides and rehydrated at room temperature. Stiffness at four TM locations (anterior to posterior along Schlemm’s canal) was measured by AFM. At each location, a 6 x 6 grid was sampled. Indentation points were evenly distributed over a 20 μm x 20 μm area, with a rate of one load/unload cycle per second. Measurements were then repeated for calculation of test-retest variability.
Results: The test-retest coefficients of variation for the four measurement locations (anterior to posterior) were 24.39, 25.28, 12.74, and 14.26%, respectively, with a notable drop in the two posterior locations compared to the anterior. The test-retest coefficient for the sections was 19.17%. For the entire eye, the test-retest coefficient of variation for the measurement of the TM stiffness was 17.13%. Young’s moduli consistently decreased from anterior to posterior location.
Conclusions: Wide regional variation suggests that single value does little to fully describe the complex array of TM stiffness levels within the eye, and future studies of TM stiffness assessed by AFM should include multiple tissue samples from each eye, with documentation of the anterior-posterior location of each measurement.
PENGEMBANGAN POTENSI WISATA BAHARI BERBASIS MASYARAKAT DI PULAU PASARAN, BANDAR LAMPUNG
Authors: Noor Nuning Mahmudah 
Published: April 2021

Pasaran Island is not only well-known as a major producer of anchovies in Lampung province, but also as a mariculture location of some fish and green mussel. The island which only covers ​​12.5 hectares is located in urban areas, in Bandar Lampung City, the capital of Lampung province. Pasaran Island has the potential as a fishery production center and marine tourism (minawisata). The minawisata concept emphasizing the active role and rights of the local communities in the management of tourism in their area (community-based marine tourism). Several programs for the development of minawisata on Pasaran island have been successfully implemented, including: designing minawisata, enhancing sanitation, strengthening institutions, building facilities and infrastructure, developing fishery products, and strengthening promotions. Pasaran Island would therefore be a new marine-tourism icon that beneficial to Bandar Lampung City and directly boost the local community's welfare.
EVALUASI KARAKTER AGRONOMI DAN LAJU FOTOSINTESIS EMPAT GENOTIPE SORGUM (Sorghum bicolor [L.] Moench)
Authors: Putri Indah Yustika 
Published: April 2021

Penelitian ini bertujuan untuk mengetahui karakter agronomi, laju fotosintesis, korelasi antara komponen pertumbuhan, laju fotosintesis dan hasil tanaman sorgum. Penelitian ini juga bertujuan untuk mengetahui pengaruh dan tak langsung laju fotosintesis terhadap komponen pertumbuhan dan komponen hasil beberapa genotipe sorgum. Penelitian ini dilakukan di Lapangan Terpadu Universitas Lampung dari Januari-Mei 2019. Rancangan percobaan yang digunakan pada penelitian ini adalah Rancangan Acak Kelompok Lengkap (RAKL) yang terdiri atas 4 perlakuan dengan 3 ulangan. Perlakuan yang digunakan dalam penelitian ini adalah empat genotipe sorgum yaitu GH-13, GH-7, Super-2, dan P/F 5 193 C. Berdasarkan hasil penelitian, terdapat variasi karakter agronomi dan laju fotosintesis pada empat genotipe sorgum. Super-2 memiliki penampilan agronomi dan hasil yang lebih tinggi diantara genotipe lainnya, sedangkan GH-13 merupakan genotipe dengan laju fotosintesis tertinggi (29,21 µmol CO2 m⁻² s⁻¹) dibanding genotipe lainnya. Laju fotosintesis tidak berkorelasi dan tidak berpengaruh langsung terhadap bobot dompolan beberapa genotipe sorgum. Jumlah biji adalah variabel yang memiliki nilai koefisien korelasi tertinggi dengan bobot dompolan (r=0,945**), dan nilai koefisien pengaruh langsung terhadap bobot dompolan tertinggi yaitu sebesar 0,938. Hal tersebut mengindikasikan bahwa jumlah biji dapat dijadikan kriteria seleksi pemuliaan pada penelitian yang selanjutnya.
EVALUASI INDEKS LUAS DAUN EMPAT GENOTIPE SORGUM (Sorghum bicolor [L.] Moench)
Authors: Ade Sadewo Agsi Aji 
Published: April 2021

Penelitian ini bertujuan mengevaluasi indeks luas daun empat genotipe sorgum (Sorghum bicolor [L.] Moench) dan menghitung pengaruh langsung dan tidak langsung beberapa variabel terhadap hasil produksi genotipe tanaman sorgum. Penelitian ini dilakukan di Laboratorium Lapang Terpadu, Universitas Lampung dari Januari hingga Juni 2019. Rancangan percobaan yaitu rancangan acak kelompok lengkap (RAKL) yang terdiri atas 4 perlakuan dengan 3 ulangan. Perlakuan yang digunakan empat genotipe sorgum seperti GH 13, GH 7, P/F 5-193-C, dan Super 2. Berdasarkan hasil penelitian, terdapat variasi karakter agronomi dari 4 genotipe tanaman sorgum. Variabel pengamatan yang berupa bobot dompolan (head) dan bobot dompolan (head) tanpa biji menjadi variabel penting untuk menduga hasil biji. Bobot dompolan (head) memiliki nilai korelasi sebesar r= 0,99** dengan bobot biji. Selain itu, bobot dompolan (head) tanpa biji memiliki nilai korelasi sebesar r= 0,84** dengan bobot biji. Bobot dompolan (head) juga memiliki nilai pengaruh langsung terhadap bobot biji terbesar dibandingkan dengan variabel lain yakni sebesar 1,205. Hal ini tidak diikuti dengan indeks luas daun yang tidak memiliki nilai korelasi yang nyata serta tidak memiliki pengaruh langsung dan tidak langsung terhadap bobot biji.
Prediksi Struktur Tiga Dimensi Protein β-NGF (Nerve Growth Factor) Burung Merpati (Columba livia)
Authors: Alam Nur , Budiarsa I Made , Tureni Dewi 
Published: April 2021

Protein β-NGF berperan dalam kelangsungan hidup sel neuron dan diferensiasi embrio aves yang diekspresikan oleh gen NGF. Informasi protein β-NGF telah diidentifikasi pada ayam dan masih terbatas dilaporkan pada merpati. Tujuan penelitian adalah memprediksi struktur tiga dimensi protein β-NGF merpati untuk menambah informasi karakter proteinnya. Protein target diperoleh dari server UniProt dengan kode akses B4ZE95. Prediksi struktur tiga dimensi dan karakterisasi protein β-NGF menggunakan server SWISS-MODEL dan program Chimera. Hasil analisis menunjukkan bahwa protein β-NGF merpati dan template memiliki nilai identity sebesar 89,91%, QMEAN 0,51 serta GMQE sebesar 0,44. Struktur tiga dimensi protein B4ZE95 memiliki asam amino hidrofobik (Ile, Leu, Trp, Phe, Val, Ala, Gly, Met, Cys); karboksil (Glu, Ser, Asp); amina (Lys, Thr) dengan 83 ikatan hidrogen.Kata kunci: columba livia, chimera, protein β-NGF, swiss-model Three Dimensional Protein Structure Prediction of β-NGF(Nerve Growth Factor) on Pigeon (Columba livia)ABSTRACTThe β-NGF protein plays a role in the survival of neuron cells and differentiation of avian embryo which is expressed by NGF gene. Information of β -NGF protein was identified in chicken and it is still limited reported in pigeon. The purpose of this study is to predict the three-dimensional structure of pigeon β-NGF protein to add information about its protein character. The target protein is obtained from UniProt server with access code B4ZE95. The prediction of three-dimensional structure and characterization of β-NGF protein were carried out using SWISS-MODEL server and Chimera program. The analysis showed that pigeon β-NGF protein and template had identity of 89,91%, QMEAN 0,51 and GMQE of 0,44. The three-dimensional structure of the B4ZE95 protein has hydrophobic amino acids namely (Ile, Leu, Trp, Phe, Val, Ala, Gly, Met, Cys); carboxyl namely (Glu, Ser, Asp); amine namely (Lys, Thr) with 83 hydrogen bonds.Keywords: columba livia, chimera, protein β-NGF, swiss model
Enseñar y aprender historia a través del uso de memes. Posibilidades y retos formativos
Authors: Ibagón Nilson Javier , Echeverry Antonio , Granados Porras Roberto 
Published: April 2021

El artículo propone un análisis teórico y práctico alrededor del uso de memes en el proceso de enseñanza y aprendizaje de la Historia. En este sentido, se entiende el meme como una mediación pedagógica que, en escenarios escolares, puede facilitar el desarrollo de la alfabetización histórica de niños, niñas y jóvenes; hecho que permite resignificar el qué, para qué, por qué y cómo enseñar Historia. En medio del desarrollo de esta discusión se plantea la conveniencia formativa de conectar el saber escolar a la experiencia vital del alumnado, proceso que implica reconocer y poner en discusión las relaciones intrínsecas que se dan entre diversas formas de conocimiento histórico gestadas desde diferentes ámbitos de la cultura histórica. De ahí que el éxito o fracaso de este tipo de procesos formativos dependa del grado de criticidad con el que el profesorado y el estudiantado entienden tanto el conocimiento histórico como los lenguajes específicos que dan cuenta de su construcción, difusión y asimilación.
Reflexiones sobre la educación carcelaria. Experiencia en un establecimiento penitenciario colombiano
Authors: Cristancho Guzmán Héctor Fabián 
Published: April 2021

Las personas privadas de la libertad (PPL) rechazan los programas educativos, lo que resulta en una resocialización ineficiente. En varios países como España, Argentina, Brasil, Colombia, Costa Rica, El Salvador y México, se han realizado investigaciones e implementado programas con la finalidad contribuir en la formación de las PPL. Se ha comprobado que no todas las intervenciones resultan ser efectivas, ya que los efectos positivos se mantienen mientas se aplica el programa y no perduran en el tiempo.
Se plantea que esta situación se debe a que no se ha considerado la problemática y necesidades reales de la comunidad de estudio y se aplican dichos programas de una forma ‘empírica’. El objetivo del artículo es presentar unas reflexiones acerca del tratamiento penitenciario a partir de una experiencia de investigación en un establecimiento penitenciario colombiano.
APLIKASI PAKAR BERBASIS WEB UNTUK DIAGNOSA PENYAKIT KULIT PADA ANAK MENGGUNAKAN METODE CERTAINTY FACTOR (CF) (Studi Kasus: Apotik Kimia Farma Gamalama Kota Ternate)
Authors: Sionding Suratman A , Banawa Sitirovia A , Ambarita Arisandy 
Published: April 2021

Penelitian ini bertujuan untuk merancang Aplikasi Pakar Berbasis Web Diagnosa Penyakit Kulit Pada Anak Menggunakan Metode Certainty Factor (CF), Metode Analisis dan Pengembangan Sistem menggunakan Model Analisis Berorientasi Objek dan Model Pengembangan Prototyping, Sistem ini dibangun dengan menggunakan bahasa pemrograman HTML,CSS, PHP, Javascript dan Database MySQL, dari hasil uji coba sistem ini antara lain Perhitungan penyelesaian pada certainty factor menggunakan 15 rule Gejala dan 4 Penyakit. Dengan adanya sistem ini dapat membantu mengetahui penentuan penyakit kulit pada anak di usia 0 - 5 tahun.Kata Kunci : Aplikasi Sistem Pakar, Penyakit Kulit, Website, Certainty Factor
Interpretación en los Servicios Públicos en la oferta académica de grado en Argentina
Authors: Manfredi Ana Belén , Lazaro Raquel 
Published: April 2021

Entre los objetivos de la Agenda 2030 de la ONU, se encuentran reducir las desigualdades, crear ciudades y comunidades sostenibles, y asegurar la paz, la justicia, instituciones sólidas, salud y bienestar para todos. A fin de garantizar su cumplimiento, cada Estado miembro confronta retos específicos debido a su situación económica, política y educativa.
En este artículo de tipo exploratorio, nos centraremos en cómo la formación de los profesionales intérpretes puede contribuir a mejorar las posturas de los Estados frente a aquellos objetivos. Un intérprete especializado en servicios públicos es el mejor recurso para garantizar un acceso igualitario a los distintos servicios públicos que prestan las ciudades modernas.
En particular, nos enfocaremos en la formación de grado en Argentina: analizaremos en cuántos programas los estudiantes reciben formación en interpretación en los servicios públicos para llegar a una conclusión acerca de dónde está colocado el énfasis al formar a futuros intérpretes.
Interview with Aimee, Chef Director of Translators Without Borders (TWB)
Authors: Valero-Garcés Carmen 
Published: April 2021

Aimee had no idea that she disrupted convention until she became ED of TWB. For over 25 years, Aimee has worked in humanitarian and development contexts on 4 continents for UN agencies and NGOs like Oxfam and Save the Children, to ensure that the most vulnerable are able to access their rights. TWB forms a critical link from which we can disrupt the world - by joining with others to ensure that information can be accessed, understood and acted upon by the most marginalized. We want to bring languages into the digitalized world, potentially by-passing text-based communications in favor of speech and voice.
Benthic communities in three Mediterranean touristic ports: MAPMED project
Authors: Chatzinikolaou Eva , Damianidis Panagiotis , Pavloudi Christina , Vasileiadou Aikaterini , Faulwetter Sarah , Keklikoglou Kleoniki , Plaitis Wanda , Mavraki Dimitra , Nikolopoulou Stamatina , Arvanitidis Christos 
Published: April 2021

Mediterranean ports are sources of significant economic activity and at the same time they act as recipients of considerable anthropogenic disturbance and pollution. Polluted and low-in-oxygen sediments can negatively impact benthic biodiversity and favour recruitment of opportunistic or invasive species. Macrobenthic communities are an important component of the port biota and can be used as environmental quality indicators. However, a baseline database for benthic biodiversity in Mediterranean ports has not yet been widely established.
Macrobenthic assemblages were recorded in three Mediterranean touristic ports under the framework of the ENPI CBC MED project MAPMED (MAnagement of Port Areas in the MEDiterranean Sea Basin). Samples were collected from Cagliari (Sardinia, Italy), Heraklion (Crete, Greece) and El Kantaoui (Tunisia) ports during February, May and September 2012. The sampling stations were selected according to the different sectors within each port (i.e. leisure, fishing, passenger/cargo vessels and shipyard). A total of 277 taxa belonging to 12 phyla were found, of which the 96 taxa were present in all three ports. El Kantaoui port hosted the highest number of macrobenthic taxa. Mollusca were the most abundant group (34%) in all ports. The highest percentage of opportunistic taxa per station was found before the touristic period in the shipyard of Heraklion port (89.3%).
Quantifying and Remediating the New Graduate Nurse Resident Academic-Practice Gap Using Online Patient Simulation
Authors: Chan Garrett K. , Burns Edward M. 
Published: April 2021

Background:
There is an ever-widening academic-practice gap. Less than one third of new graduates demonstrate entry-level competencies required for practice. Hospitals expend many resources to create nurse residency programs to remediate this gap. Online interactive case simulation is effective to increase competencies and decrease the length of orientation and rate of turnover. The aims of this pilot research study were to quantify the academic-practice gap and to strengthen areas of development for competent and safe clinical practice through use of an online patient simulation program.

Method:
A pretest–posttest quasi-experimental study using an online patient simulation program was implemented in a convenience sample of nurse residents over 16 months.

Results:
Twenty-nine residents completed more than 3,400 patient simulations. Improvement in pretest and posttest metrics included 100% of nurse residents committing a sentinel error event decreased to 20.7%, 766 medication errors decreased to 160, and failed-to-rescue an average of 81% of the time decreased to 23%.

Conclusion:

Interactive online patient simulation programs provide a powerful learning methodology in which learners improve patient safety and reduce failures to rescue.

[
J Contin Educ Nurs
. 2021;52(5):240–247.]
Deep Neural Network-based Handheld Diagnosis System for Autism Spectrum Disorder
Authors: Khullar Vikas , Singh Harjit P , Bala Manju 
Published: April 2021

Objective:
The aim of the present work was to propose and implement deep neural network (DNN)-based handheld diagnosis system for more accurate diagnosis and severity assessment of individuals with autism spectrum disorder (ASD).

Methods:
Initially, the learning of the proposed system for ASD diagnosis was performed by implementing DNN algorithms such as a convolutional neural network (CNN) and long short-term memory (LSTM), and multilayer perceptron (MLP) with DSM-V based acquired dataset. The performance of the DNN algorithms was analyzed based on parameters viz. accuracy, loss, mean squared error (MSE), precision, recall, and area under the curve (AUC) during the training and validation process. Later, the optimum DNN algorithm, among the tested algorithms, was implemented on handheld diagnosis system (HDS) and the performance of HDS was analyzed. The stability of proposed DNN-based HDS was validated with the dataset group of 20 ASD and 20 typically developed (TD) individuals.

Results:
It was observed during comparative analysis that LSTM resulted better in ASD diagnosis as compared to other artificial intelligence (AI) algorithms such as CNN and MLP since LSTM showed stabilized results achieving maximum accuracy in less consumption of epochs with minimum MSE and loss. Further, the LSTM based proposed HDS for ASD achieved optimum results with 100% accuracy in reference to DSM-V, which was validated statistically using a group of ASD and TD individuals.

Conclusion:
The use of advanced AI algorithms could play an important role in the diagnosis of ASD in today's era. Since the proposed LSTM based HDS for ASD and determination of its severity provided accurate results with maximum accuracy with reference to DSM-V criteria, the proposed HDS could be the best alternative to the manual diagnosis system for diagnosis of ASD.