bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sanayi Domatesi Üretiminde Toprak Tipi ve Çeşit Seçiminin Verim ve Meyve Kalite Özelliklerine Etkisi
Authors: TÜRK Bilge , NAS Yahya , DUMAN İbrahim , ŞEN Fatih , TUNCAY Özlem 
Published: February 2019

Amaç: Çalışma, iki farklı toprak tipinde yetiştirilen Uno Rosso ve H-5803 sanayi domatesi (Lycopersicon esculentum Mill.) çeşitlerinin verim ve meyve kalitesindeki değişimin belirlenmesi amacıyla yürütülmüştür.Materyal ve Metot: Kumlu-tın ve killi-tın toprak tipinde yetiştirilen her iki sanayi domatesi çeşitlerinin bitki besleme ve kültürel işlemler aynı şekilde yapılmıştır. Parsellerden ticari olum dönemde hasat edilen domates meyvelerinde verim ve bazı kalite parametreleri incelenmiştir.Bulgular: Kumlu-tın toprak tipinde H-5803 domates çeşidinin meyve verimi (9405.0 kg/da) ve salça verimi (1652.1 kg/da) daha yüksek iken, killi-tın koşullarda ise Uno Rosso çeşidinin meyve verimi (9075.0 kg/da) daha yüksek bulunmuştur. H-5803 domates çeşidinin meyve ağırlığı killi-tın ve kumlu-tın toprak tipinde en yüksek olup, sırasıyla 96.10 g ve 89.87 g olarak belirlenmiştir.Sonuç: H-5803 ve Uno Rosso sanayi domatesi çeşidinin meyve sertliği, meyve ve pulp rengine, suda çözünür kuru madde, titre edilebilir asit miktarı, EC değeri, likopen, C vitamini, toplam fenol miktarı ve antioksidan aktivitesi her iki toprak tipinin etkisi önemli bulunmamıştır.
Conceptual Understanding Analysis Through Two-Tier Model Diagnostic Tests on Acid-Base Materials
Authors: Dewi Sintia Ayu , Susilaningsih Endang , Sulistyaningsih Triastuti 
Published: February 2019

<div class="WordSection1"><p>This research aims to organize instrument of computer-based two-tier multiple choices diagnostic test. The research method used was quantitative and qualitative method. This research was conducted in class XI MIPA 3 and XI MIPA 4, Senior High School 1 Ungaran. The research procedure was designed starting from selecting the difficult subjects, arranging test plan, designing two-tier model of diagnostic test, designing web, tryout, analysis of tryout data, diagnostic test, interview, and analysis of concept understanding. The finding of the research that the instrument was valid and reliable. The result of students’ concept understanding of acid-base on implementation class showed that 9 of 35 students (26.86%) understood the concept thoroughly, 4 of 35 students (8.43%) got misconception, 1 of 35 students (3.71%) kept guessing, 12 of 35 students (34.86%) grasped less understanding while 9 of 35 students (26.14%) did not understand the concept of Acid-Base. The inference drawn of this recent study is that computer-based two-tier diagnostic test instrument can be used to analyze students’ concept understanding about acid-base by combined interpretation of students’ answers with several categories of concept understanding, misconception, guessing, less understanding of the concept, and failure to understand the concept.</p><p> </p><p> </p></div>
Investigation on hydrothermal processes in a large channel-type reservoir using an integrated physics-based model
Authors: Sun Jian , Zhang Man , Zhou Jianjun , Lin Binliang 
Published: February 2019

Abstract
Hydrothermal processes are vital for the aquatic ecology and environments of a river. In recent decades, as high dams have been increasingly built in large rivers, many channel-type reservoirs have formed. With a considerable amount of water being impounded, the original riverine hydrothermal regimes are modified or even profoundly changed. Existing studies are mainly focused on the thermal stratification in lake-type reservoirs with weak vertical mixing, while channel-type reservoirs are rarely investigated where the vertical mixing is relatively strong due to the large riverine discharge. In this study, the impact of dam operation on the Three Gorges Reservoir (TGR) was investigated, including the water level, discharge and temperature, by applying an integrated physics-based model developed using field data. The present numerical model was built based on a hydrothermal dynamic model and a box model. The results indicate that the reservoir has caused a significant thermal lag between the inflow and outflow, with the temperature difference being up to 5 °C. A highly correlated dependency has been found between the dam-regulated water level and the inflow/outflow temperature difference. The present method and conclusions are potentially useful for managing the TGR and other channel-type reservoirs.
Volume Measurement in the Diagnosis of Mounier Kuhn Syndrome and an Unknown Accompanying Pathology: Pulmonary Artery Enlargement
Authors: Aktaş Fatma , Aktaş Turan 
Published: February 2019

Background:
Mounier Kuhn Syndrome (MKS) is a rare congenital anomaly characterized
by abnormal dilatation of the trachea and main bronchi. The aim of this study is to discuss tracheal
volume measurement in MKS, and the pathologies accompanying MKS, especially pulmonary
artery enlargement.

Materials and Methods:
38 patients, 18 of whom were diagnosed with MKS and 20 as control
group, were included in the study. Trachea volume and pulmonary artery diameter were measured
through thorax-computed tomography (CT) images of the patients. Accompanying pathologies
were recorded.

Results:
In the measurements done through the CT scans, the trachea volume was found to be
25.45 cm3 in the control group and 44.17 cm3 in the patient group. The most frequent accompanying
pathologies were tracheal diverticulum, bronchiectasis and pulmonary artery enlargement.

Conclusion:
In patients with MKS, there is a significant difference in volume calculation as in
trachea diameter. Though bronchiectasis and tracheal diverticulum are known as pathologies most
frequently accompanying MKS, to the knowledge of the researchers, pulmonary artery enlargement
due to the increase in pulmonary truncus diameter was first emphasized in this article.
Development of a Multi-Hazard Landscape for Exposure and Risk Interpretation: The PRISM Approach
Authors: Buck Kyle D. , Summers Kevin J. , Hafner Stephen , Smith Lisa M. , Harwell Linda C. 
Published: February 2019

Background: Multi-hazard risk assessment has long been centered on small scale
needs, whereby a single community or group of communities’ exposures are assessed to
determine potential mitigation strategies. While this approach has advanced the understanding
of hazard interactions, it is limiting on larger scales or when significantly different hazard
types are present. In order to address some of these issues, an approach is developed
where multiple hazards coalesce with losses into an index representing the risk landscape.

Methods:
Exposures are assessed as a proportion of land-area, allowing for multiple hazards
to be combined in a single calculation. Risk calculations are weighted by land-use types
(built, dual-benefit, natural) in each county. This allows for a more detailed analysis of land
impacts and removes some of the bias introduced by monetary losses in heavily urbanized
counties.

Results:
The results of the quantitative analysis show a landscape where the risk to natural
systems is high and the western United States is exposed to a bulk of the risk. Land-use and
temporal profiles exemplify a dynamic risk-scape.

Conclusion:
The calculation of risk is meant to inform community decisions based on the
unique set of hazards in that area over time.
An Optimal Feature Selection Method for Automatic Face Retrieval Using Enhanced Grasshopper Optimization Algorithm
Authors: Shukla Arun K. , Kanungo Suvendu 
Published: February 2019

Background:
Retrieval of facial images based on its contents is one of the main areas of
research. However, images contain high dimensional feature vectors and it is a challenging task to
select the relevant features due to the variations available in the images of similar objects. Therefore,
the selection of relevant features is an important step to make the facial retrieval system computationally
efficient and more accurate.

Objective:
The main aim of this paper is to design and develop an efficient feature selection method
for obtaining relevant and non-redundant features from the face images so that the accuracy and
computational cost of a face retrieval system can be improved.

Methods:
The proposed feature selection method uses a new enhanced grasshopper optimization algorithm
to obtain the significant features from the high dimensional features vector of face images.
The proposed algorithm modifies the target vector by considering more than one best solution which
maintain the elitism property and save the search from local optimum. Furthermore, it has been utilized
to select the prominent features from the high dimensional facial features vector.

Results:
The performance of the proposed feature selection method has been tested on Oracle Research
Laboratory face database. The proposed method eliminates 89% features which are minimum
among the other methods and increases the accuracy of face retrieval system to 96.5%.

Conclusion:
The enhanced grasshopper optimization algorithm-based feature selection method for
face retrieval system outperforms the existing methods in terms of accuracy and computational cost.
Deep Learning Based Deep Level Tagger for Malayalam
Authors: A. P. Ajees , Idicula Sumam M. 
Published: February 2019

Background:
POS tagging is the process of identifying the correct grammatical category
of words based on its meaning and context in a text document. It is one of the preliminary steps in
the processing of natural language text. If any error happens in POS tagging the same will be propagated
to whole NLP applications. Hence it must be handled in a genuine and precise way.

Aim:
The purpose of this study is to develop a deep level tagger for Malayalam which indicates the
semantics of nouns and verbs in a text document.

Methods:
The proposed model is a two-tier architecture consisting of deep learning as well as rulebased
approaches. The first tier consists of a tagging model, which is trained by a tagged corpus of
287,000 words. To improve the depth of tagging a suffix stripper is also used which can provide
morhological features to the shallow machine learning model.

Results:
The system is trained on 2,30,000 words and tested on 57,000 words. The accuracy of tagging
for the phase-1 architecture is 92.03%. Similarly the accuracy of phase-2 architecture is
98.11%. The overall accuracy of tagging is 91.82%.

Conclusion:
The exclusive feature of the proposed tagger is its depth in tagging the noun words.
This deep level information can be used in various semantic processing applications of the natural
language text like anaphora resolution, text summarization, machine translation, etc.
An Empirical Evaluation of Name Semantic Network for Face Annotation
Authors: Anburajan Kasthuri , Andavar Suruliandi , Elango Poongothai 
Published: February 2019

Background:
Face annotation is the naming procedure to assign the correct name of a
person who has emerged on an image.

Objective:
The main objective of this paper was to compare and evaluate six feature extraction techniques
for face annotation under real-time challenging images and to find the best suitable feature
for face annotation.

Method:
From literature review, it has been observed that Name Semantic Network (NSN) outperforms
other annotation methods for various unconditioned images as well as ambiguous tags.
However, the NSN’s performance can differ with various feature extraction techniques. Hence, its
success is influenced by the feature extraction techniques that are used. Therefore, in this work, the
NSN’s performance is experimented and evaluated with various feature extraction methods such as
the Discrete Cosine Transform Local Binary Pattern (DCT-LBP), Discrete Fourier Transform Local
Binary Pattern (DFT-LBP), Local Patterns of Gradients (LPOG), Gist, Local Order-constrained
Gradient Orientations (LOGO) and Convolutional Neural Networks (CNNs) deep features.

Results:
Different feature extraction approaches demonstrate variations in performance with respect
to a range of difficulties in face annotation using the Yahoo, LFW and IMFDB databases. The experimental
results show that the deep feature method can achieve better recognition rate other than
texture features. It confronts several issues in the presentation of a face in an image and produces
better results.

Conclusion:
It is concluded that the CNNs deep feature is the best feature extraction technique that
offers enhanced performance for face annotation.
Usos y conocimiento tradicional de las gimnospermas en el noreste de Oaxaca, México
Authors: Bernal-Ramírez Luis Alberto , Bravo-Avilez David , Fonseca-Juárez Rosa María , Yáñez-Espinosa Laura , Gernandt David S. , Rendón-Aguilar Beatriz 
Published: February 2019

Antecedentes y Objetivos: En México existen alrededor de 156 especies de gimnospermas nativas pertenecientes a seis familias. Para el estado de Oaxaca, se registran 45 especies de gimnospermas y sus habitantes poseen un sobresaliente conocimiento ancestral en el uso tradicional de este grupo taxonómico. El presente estudio contribuye al registro y documentación del conocimiento tradicional de las gimnospermas en Oaxaca, a evaluar la importancia de las familias botánicas como fuente de recursos, analizar las relaciones existentes entre los grupos étnicos y la riqueza de especies útiles, así como a comparar los registros obtenidos con el número de gimnospermas a nivel nacional y estatal.Métodos: El estudio se realizó en 84 municipios en tres Regiones Terrestres Prioritarias al noreste de Oaxaca. Los datos etnobotánicos fueron recopilados mediante observación participante moderada, caminatas etnobotánicas, entrevista libre a guías locales y colecta de ejemplares botánicos. Los datos se analizaron cualitativamente para integrar el conocimiento tradicional, etnoflorístico y los aspectos ecológicos de las especies.Resultados clave: Se registraron 30 especies de las familias Cupressaceae, Pinaceae, Podocarpaceae y Zamiaceae. El mayor número de especies útiles (16) registradas pertenece a Pinaceae. Entre los zapotecos se encontraron usos para 16 diferentes especies, los mixes utilizan diez y los mazatecos nueve. Todos los taxa registrados tienen nombre común, 71% en lengua local y 97% en español. Los usos más frecuentes fueron el maderable, la construcción, el ornamental y el combustible. El bosque mesófilo de montaña es el tipo de vegetación del área estudiada que contiene el mayor número de gimnospermas útiles, con 15 especies. De los taxa registrados 45% son endémicos de México, seis especies de Pinaceae y ocho de Zamiaceae se consideran endémicos de Oaxaca.Conclusiones: Este estudio incrementa los registros sobre gimnospermas útiles en el estado de Oaxaca. Se requiere reconsiderar y entender el valor local de estas especies dentro de la cosmovisión étnica, para preservar los usos tradicionales y promover programas de manejo sostenible.
Family Medicine Residents' Debt and Certification Examination Performance
Authors: Phillips Julie P. , Peterson Lars E. , Kovar-Gough Iris , O'Neill Thomas R. , Peabody Michael R. , Phillips Robert L. 
Published: February 2019

Introduction: Previous studies have found that medical students and internal medicine residents with high educational debt perform less well on examinations. The purpose of this study was to examine the relationship between educational debt and family medicine residents’ performance on initial in-training and board certification examinations.
Methods: Our study was a cross-sectional secondary analysis of American Board of Family Medicine (ABFM) data collected from residents (N=5,828) who registered for the Family Medicine Certification Examination (FMCE) in 2014 and 2015, representing 85.8% of graduating family medicine residents in the United States in those years. Multivariable linear and logistic regression modeling was used to examine the relationship between debt level and examination scores, and also to explore the relationship between debt level and passing the initial FMCE.
Results: After controlling for demographic variables, residents with high debt ($150,000 to $249,999) and very high debt (more than $250,000) performed significantly worse than those with no debt on the initial in-training examination (score differences of 14.2 [CI 8.6, 19.8] and 15.8 [CI 10.3, 21.4] points, respectively) and FMCE (score differences of 19.3 points [CI 13.4, 25.3] and 30.4 points [CI 24.6, 36.3], respectively). Additionally, those with debt above $250,000 had half the odds of passing their initial FMCE (OR 0.45; CI 0.27-0.75).
Conclusions: High educational debt is associated with lower examination performance among family medicine residents. This may be because residents with more debt have more stress or fewer day-to-day financial resources. However, confounding factors may also contribute to this association.
PEMBERIAN TEPUNG GANYONG (Canna edulis Kerr.) MENURUNKAN EKSPRESI Ki67 PADA JARINGAN USUS BESAR TIKUS YANG DIINDUKSI AOM/DSS
Authors: Mahmudah Nur , Purnomosari Dewajani , Sumiwi Yustina Andwi Ari 
Published: February 2019

ABSTRAKKanker usus besar merupakan kanker yang memiliki insiden dan mortalitas tinggi. Karsinogenesis ditandai oleh proliferasi sel yang tidak terkendali, yang dapat dilihat dengan adanya peningkatan ekspresi Ki67. Kejadian kanker usus besar meningkat akhir-akhir ini yang dimungkinkan terjadi akibat pola makan masyarakat modern yang buruk. Masyarakat modern lebih menyukai makanan cepat saji, yang rendah serat dibandingkan makanan sehat yang kaya serat, seperti ganyong. Penelitian ini bertujuan untuk mengkaji efek pemberian ganyong terhadap ekspresi Ki67 pada jaringan usus besar tikus yang diinduksi AOM/DSS. Jenis penelitian ini merupakan eksperimental dengan post test only group design. Penelitian ini menggunakan tikus model kanker usus besar yang dibuat dengan induksi AOM/DSS. Perlakuan ganyong diberikan selama 16 minggu, diberikan mulai 2 minggu sebelum induksi AOM hingga sebelum terminasi. Ekspresi ki67 dilihat dengan metode imunohistokimia, kemudian dihitung menggunakan software Image J. Hasil penelitian menunjukkan bahwa pemberian ganyong tidak menurunkan ekspresi Ki67 pada tikus yang diinduksi AOM/DSS (p= 0,101). Kesimpulannya bahwa pemberian ganyong pada tikus yang diinduksi AOM/DSS tidak menghambat proliferasi sel.Kata Kunci: Ganyong, Ki67, Induksi Aom/Dss. ABSTRACTColon cancer is a cancer that has a high incidence and mortality. Carcinogenesis is characterized by uncontrolled cell proliferation, which can be seen in the presence of increased Ki67 expression. The incidence of colon cancer has increased in recent years, which may have been due to the poor diet of modern society. Modern society prefers fast food, which is low in fiber compared to healthy foods rich in fiber, such as ganyong. This study aims to examine the effect of canna administration on Ki67 expression in AOM / DSS-induced rectum colon tissue. This research type is experimental with post test only group design. This study used a mouse model of colon cancer made with AOM / DSS induction. Canna administration was given for 16 weeks, given 2 weeks before AOM induction until termination. Ki67 expression seen with imunohistokimia method, then calculated using Image J software. The results showed that canna administration did not decrease of Ki67 expression in rats induced AOM / DSS (p = 0,101). In conclusion that canna administration to rats induced by AOM / DSS did not inhibit cell proliferation.Keywords: Canna, Ki67, AOM / DSS Induction.
SKOR FUNGSIONAL HIP (HARRIS HIP SCORE) PADA PASIEN OSTEOARTHRITIS (OA) HIP JOINT DENGAN DEFEK ACETABULUM YANG DILAKUKAN TOTAL HIP ARTHROPLASTY (THR) DAN ACETABULOPLASTY
Authors: Bawono S , Maryanto I , Idulhaq M 
Published: February 2019

ABSTRAKTotal hip arthroplasty (THA) merupakan pilihan bagi hampir semua pasien dengan kelainan sendi panggul yang menyebabkan ketidaknyamanan dan gangguan fungsi. Hasil jangka panjang yang baik dikarenakan perangkat endoprosthetic tersebut mampu memberikan kemampuan menahan beban, mempertahankan fungsi, rentang gerak dan stabilitas. Peneliti mencoba untuk mengevaluasi skor hip fungsional pasien osteoarthritis pinggul dengan defek pada acetabulum yang dilakukan tindakan THA dengan acetabuloplasty di Rumah Sakit Ortopedi X, Surakarta, sejak Januari - September 2016. Kemudian kami evaluasi untuk fungsional hip pasien sebelum dan sesudah operasi menggunakan Harris Hip Skor (HHS). Berdasarkan data yang diperoleh didapat jumlah sampel perempuan 18 pasien dan laki-laki 14 pasien. Pada karekter umur rentang umur sampel antara 49 tahun sampai 66 tahun. Penilaian skor HHS sebelum operasi memiliki rentang nilai 20,8 sampai dengan 69,4. Hasil pengukuran skor HHS terhadap sampel yang dilakukan setelah tindakan operasi adalah sebagai berikut Fair 9 pasien, Good 13 pasien, dan Excellent 10 pasien. Hasil penelitian dapat disimpulkan bahwa THA dan Acetabuloplasty memberikan hasil terapi terbaik pada pasien Osteoarthritis dengan defek acetabulum, meliputi kemampuan menahan beban tubuh, fungsi , rentang gerak dan stabilitas sendi.Kata Kunci: Osteoartritis Hip, Defek Acetabulum, THA, Total Hip Artroplasty, Acetabuloplasty, Harris Hip Score ABSTRACTTotal hip arthroplasty (THA) is an option for almost all patients with hip joint abnormalities that cause discomfort and disruption of significant function. This is because of good long-term results that the endoprosthetic device gives regarding the ability of weight-bearing, function, range of motion and stability of hip joint. We try to evaluate the functional hip score of hip osteoarthritis patients with defects in the acetabulum, performed THA with acetabuloplasty in X Orthopaedic Hospital since January until September 2016. Then we evaluated for patient’s functional outcome before and after operation using Harris Hip Score (HHS). From 32 patients were reviewed and identified, there were 18 females and 14 males, mean age was 57,5 y.o (range 49-66 y.o). All had primary THA and Acetabuloplasty. There were 10 patients have excellent functional outcome(90-100 based on Harris Hip Score/HHS), 13 patients have good functional outcome (80-0), 9 patients have fair functional outcome (70 – 79), no patient have poor functional outcome (60 – 69) and have failed functional outcome (below 60). In this study we concluded that THA and acetabuloplasty gives best treatment for osteoarthritis patient with acetabular defects , regarding the ability of weight-bearing, function, range of motion and stability of hip joint. Keyword : Osteoartritis Hip, Acetabular Defect, THA, Total Hip Arthroplasty,Acetabuloplasty, Harris Hip’s Score
INTEGRASI PENDIDIKAN KARAKTER DALAM PEMBELAJARAN BAHASA ARAB DI SEKOLAH MUHAMMADIYAH
Authors: Syahnaidi Muhammad Amin Qodri , Baroroh R. Umi 
Published: February 2019

This study aimed to determine the planning of character education integration in Arabic learning, the implementation of the integration and the implications of character education on the students’ character in Muhammadiyah Middle School 10 Yogyakarta. This was a qualitative research. Data were collected by observation, interviews and documentation. Data was analyzed using qualitative descriptive methods. The results showed: (1) Planning for the integration was included into syllabus and lesson plans. The integration of character education was carried out in the philosophical, material and strategic domains. (2) The implementation of character education integration in Arabic language learning was done through learning activities, giving advice, and the teacher’s role model in Arabic teaching. At the stage of implementation, the integration had been carried out in the philosophy, material and strategy domains. (3) The implications of character education on students’ character were the development of religiousity, obedience, discipline, communicativeness and responsibility.