bluuebunny/crossref_metadata_2025 huggingface dataset:
CLINICAL SIGNIFICANCE AND RISK FACTORS OF DYSTOCIA
Authors: Grishchenko O.V. , Mamedova S. S.
Published: July 2020

Reducing adverse events in labour is one of key tasks of obstetrics at present. Abnormalities in labour, and in particular, dystocia, require further in-depth investigation and coordinated interprofessional effort. The purpose of this study was to determine the risk factors for dystocia in a full-term monocyesis with foetal presentation. We carried out a clinical and statistical analysis of pregnancy and childbirth histories of 550 women at the Kharkiv Municipal Perinatal Centre for 2018-2019 depending on the presence of dystocia by applying descriptive statistics and the odds ratio (OR) methods. Results. The most important factors for dystorcia with OR > 5.0 include diabetes mellitus (OR - 10.023; 95% CI 3.083-32.578), burdened gynecological history (OR - 7.385; 95% CI 2.671 - 20.423), foetus-pelvic imbalances (OR - 6.399; 95% CI 1.506 - 27.180) first birth (OR - 5.878; 95% CI 3.139 - 11.009) and the presence of infectious diseases of the genital tract (OR - 5.071; 95% CI 1.847 - 13.925). The value for preeclampsia was slightly lower (OR - 4.467; 95% CI 1.585 - 12.586). All other indicators had an OR < 3.0, including gestational hypertension (OR - 2.882; 95% CI 1.388 - 6.071), obesity (OR - 2.360; 95% CI 1.118 - 4.98) large foetus (OR - 2.242; 95% CI 1.069 - 4,704) late reproductive age (OR - 2.075; 95% CI 1.144 - 3.765) and the presence of cardiovascular disease (OR - 2.040; 95% CI 1.009 - 4.124). A comprehensive assessment of risk factors is of great clinical importance for predicting dystocia and making decisions about the need for preventive and therapeutic measures.
Factors behind trade credit financing of SMEs in Croatia
Authors: Pepur Sandra , Kovač Dujam , Ćurak Marijana
Published: July 2020

Small and medium enterprises (SMEs) contribute to the national economy in terms of employment, added value, knowledge generation, and innovation. However, their potential and in the case of economic downturns even their survival is affected by the difficulties in their access to external financing under acceptable terms and adequate timing and amount. In the case of asymmetric information problems, which make SMEs more sensitive to financial market imperfections, trade credit can be a valuable source of financing. In the European Union, trade credit is among the most relevant external funding sources and it is among the most important alternatives to financial intermediaries’ financing. However, there are substantial differences between the countries with respect to availability and use of trade credit. Therefore, this research examines determining (company-specific and country-specific) factors behind the use of trade credit as a financing source in Croatia.
The empirical analysis is based on the data for 1,225 SMEs operating in
Croatia in the period from 2008 to 2017 and is done using the panel data methodology. The findings confirm that firms’ characteristics, as well as the characteristics of financial, macroeconomic and legal environment in which the firms operate, influence the use of trade credit in SMEs in Croatia. The paper contributes to relatively scarce empirical evidence on the determinants of trade credit use by SMEs in South-East European countries.
Kulturuloški aspekti poslovnog pregovaranja menadžera hrvatskih poduzeća
Authors: Martinović Marija , Vojvodić Katija , Pušić Ana
Published: July 2020

U kontekstu poslovnog pregovaranja od presudne je važnosti razumijevanje
razlika među kulturama i njihovog utjecaja na pregovarački proces i ishode pregovaranja. Štoviše, kulturološka osviještenost omogućuje pregovaračima anticipiranje i tumačenje ponašanja suprotne pregovaračke strane te olakšava postizanje željenih ciljeva i unapređuje rezultate pregovaranja. Cilj je ovoga rada bio istražiti utjecaj odabranih obilježja hrvatskih pregovarača (dob, pozicija u poduzeću i učestalost pregovaranja) na kulturološke aspekte pregovaranja (tituliranje, neverbalnu komunikaciju i iskazivanje emocija). Istraživanje je provedeno na uzorku
od 256 poduzeća u Republici Hrvatskoj. Rezultati istraživanja ukazali su na postojanje pozitivne korelacije između sljedećih varijabli: iskazivanje emocija i učestalost pregovaranja, dob i tituliranje te učestalost pregovaranja i neverbalna komunikacija. Multilinearna hijerarhijska regresija dala je detaljniji uvid u odnos među varijablama. Beta koeficijent ukazao je na statistički značajnu ovisnost
iskazivanja emocija i neverbalne komunikacije o prediktoru učestalost pregovaranja te tituliranja o prediktoru dob. Rad pruža uvid u hrvatsku pregovaračku praksu i može poslužiti kao polazište za provođenje budućih
empirijskih istraživanja.
Improved Routing and Signaling Functions of PNNI Protocol for High Network Stability
Authors: Makarenko S.
Published: July 2020

The improved routing and signaling functions of PNNI protocol is presents in the paper. The improved this function of PNNI protocol are to use topological network redundancy and create backup paths. This improved PNNI provides high network stability, if the network topology changes rapidly.
Canadian model of the system of health protection: basic approaches and mechanisms of realization
Authors: Makukh-Fedorkova Ivanna
Published: July 2020

The features of forming and development the system of health protection Canada open up in this article; attention is concentrated on the personal touches and general principles of construction of sphere of medical service. An author marks that the Canadian system of health protection in obedience to international standards provides the high enough level of medical service and by a certificate there are high life-span and low level of child’s death rate it. Principles of social organization of society and system of health protection in Canada were formed in the second half of ХХ century.

The system of health protection Canada has a reasonable legislative base; her forming took place in a few stages: on the first stage (beginning of 40th of XX of century) the grant of having special purpose subsidies is legislatively envisaged for the special programs of health protection and for building of hospital establishments. Such normatively-legal base assisted to development of network of hospital establishments in a country; on the second stage (in 1957) was passed an act that fastened federally-provincial allocation of financial resources on Medicare about medical insurance. Thus the quality indexes of grant of Medicare were determined by national requirements; on the third stage (1968-1979) legislative documents that formed the Canadian system of medical insurance of Medicare and set distribution of money on hospital. In 1984 in Canada was passed an act about a health protection that fastened basic principles of Medicare.

This system provides free or practically free medical service and medical services to all citizens of Canada. Such structure was worked out because medical service is in the department of local, provincial authorities, but not federal government. It is well-proven that the Canadian system of health protection has certain defects also, in fact on the modern stage Canadian medicine tests a sharp requirement in experience doctors, and also one of basic problems there are large turns in medical establishments and protracted expectation of possibility to get medicare. In the same time, without regard to the outlined problems, the Canadian system of medicine under the name of Medicare is pride of country, as financed by the state and provides free medical service to all citizens practically.
Protection of Cyberspace as a Component of Ukraine’s Information Security
Authors: Katerynchuk Pavlo
Published: July 2020

Cyber security and cyber space of Ukraine remained for a long time out of the attention of domestic researchers and, therefore, civil servants. For more than 20 years, the young Ukrainian state did not waste its efforts on the formation of not only effective and reliable troops, but also information security. The government did not endeavored to strengthen the country’s defense, and only weakened its lack of progress in fighting corruption and the dominance of Russian media and intelligence. As a result, in the spring of 2014, after a long confrontation between the regime of Viktor Yanukovych and the citizens of Ukraine, Russia failed to conduct special operations with the aim of annexing the Crimea and facilitate the war in Donbas. Not the least role in this played a raid for information and factors cyber Russian hackers for the purpose of paralyzing government agencies and influence on public opinion in Ukraine through Russian-controlled media. As a result of prolonged and massive cyber attacks, Ukrainian state structures, the banking system, industrial facilities and private business suffered significant material and reputational losses. At the same time in Ukraine began to realize the seriousness of cyber security as a component of national security and contribute to creating cyber police, national cyber security strategy, acceptance of a number of regulations on cyber security, strengthening public defense for the protection of domestic cyber space. At the moment, Ukraine is on the way to rethinking the role of cyber security and the formation of a national system of protection against cyber threats.
PERFORMANCE OF RPL PROTOCOL BASED ON NEW OBJECTIVE FUNCTION FOR IOT-WSN
Authors: Hamodi Zahraa A. , Kadhim Abdulkareem A.
Published: July 2020

The development of routing protocol to manage energy consumption of wireless sensor devices is one of the active research areas. The main challenge is the resource constraint (e.g. energy). In Internet of Things (IoT), the devices operate in the presence of these limitations. Thus, an energy-efficient routing protocol is required. Routing Protocol for Low-Power and Lossy Network (RPL) is already introduced to enable IoT over Wireless Sensor Network. In this paper, a modified routing protocol depending on the maximum number of parent objective function (MNP-OF) is proposed. MNP-OF uses a new node metric called Neighboring-metric (N-metric). The proposed protocol is called MNP based on Remaining Energy (MRE) that combines N-metric with the node remaining energy metric for all nodes to the root node to select the preferred path. The results showed that MRE achieved up to 94% energy saving compared to RPL protocol in medium and large scale networks, while a reduction of about 33% in average remaining energy in small scale network. MRE showed considerable reductions in the average delay and the number of dead nodes combined with improvements in throughput, number of control messages, and number of switching parents for small scale network.
Sparse DFT Based Channel Estimation In OFDM Systems
Authors: Abboud Maryam K. , Sabbar Bayan M.
Published: July 2020

Channel estimation is an essential part of Orthogonal Frequency Division Multiplexing (OFDM) communication systems. In this paper, two Discrete Fourier Transform (DFT) improvement algorithms are proposed and compared where the 1st one exploits channel sparsity concept while the other considers significant channel coefficients only. In the proposed algorithms; Enhanced and Sparse DFT (E-DFT and S-DFT), different number of significant channel components is selected either by a threshold determining procedure such as in    E-DFT, or through determining channel sparsity level such as in S-DFT. In the presence of Doppler frequency shifts, the Inter Symbol Interference (ISI) effect on channel coefficients is successfully reduced using the proposed estimation algorithms. Vehicular A-ITU channel model is considered with a relatively high vehicle speed up to 68 Km/h in order to test the suitability of the proposed algorithms for mobile systems. E-DFT and S-DFT improves conventional as well as previous DFT improvement methods (I-DFT) suggested by [7], [8], [9], [15]. For 64 subcarriers, S-DFT outperforms E-DFT and I-DFT by about 3dB at a BER of 0.01 with a mobility reaches 45 Km/h, and by about 0.4dB and 2.5dB at a BER of 0.02 with a mobility reaches 68Km/h.
Using a Timed Motor Task to Predict One-Year Functional Decline in Amnestic Mild Cognitive Impairment
Authors: Schaefer Sydney Y. , Hooyman Andrew , Duff Kevin
Published: July 2020

Affordable, noninvasive methods of predicting functional decline are needed for individuals at risk for Alzheimer’s disease. This study tested whether a timed upper-extremity motor task predicted functional decline over one year in 79 adults diagnosed with amnestic mild cognitive impairment. Participants completed subjective and objective measures of daily functioning at baseline and one year later. Motor task performance and delayed memory were also evaluated at baseline. Motor task performance was a significant predictor of one-year follow-up daily functioning, improving model fits by 18– 35%. Thus, motor behavior has potential to be an affordable enrichment strategy that is sensitive to functional decline.
Forecast of export demand based on artificial neural network and fuzzy system theory
Authors: Bin Jiang , Tianli Xiong
Published: July 2020

This paper analyses the significance and methods of foreign trade export forecasting. The index system of foreign trade export forecasting is determined based on the analysis of foreign trade export forecasting research results. The concepts and principles of artificial neural network and fuzzy system theory are expounded, and their respective advantages and disadvantages as well as their complementarities are analyzed. This paper introduces the types and training algorithms of evolutionary morphological neural network, combines the neural network with the fuzzy system theory, and establishes the prediction model. Finally, the evolutionary morphological neural network model is applied to the prediction of foreign trade export in view of the characteristics of export and considering the influence of various factors, the whole process of establishing evolutionary morphological neural network forecasting model is introduced in detail, and the change range of export is predicted, and the ideal forecasting results are obtained.
Optimization of parallel random forest algorithm based on distance weight
Authors: Wang Qinge , Chen Huihua
Published: July 2020

In order to overcome the problems of long execution time and low parallelism of existing parallel random forest algorithms, an optimization method for parallel random forest algorithm based on distance weights is proposed. The concept of distance weights is introduced to optimize the algorithm. Firstly, the training sample data are extracted from the original data set by random selection. Based on the extracted results, a single decision tree is constructed. The single decision tree is grouped together according to different grouping methods to form a random forest. The distance weights of the training sample data set are calculated, and then the weighted optimization of the random forest model is realized. The experimental results show that the execution time of the parallel random forest algorithm after optimization is 110 000 ms less than that before optimization, and the operation efficiency of the algorithm is greatly improved, which effectively solves the problems existing in the traditional random forest algorithm.
Research on post-match score mechanism of players based on artificial intelligence and clustering regression model
Authors: Liu Yue , Wang Jian
Published: July 2020

Currently, the athletes’ post-match scores are mostly manual methods, and artificial intelligence is still less used in athletes’ post-match scores. Based on this, this study is based on machine learning algorithms and combined with athletes’ scores for analysis. At the same time, this study uses the reptile technology to conduct real-time mining of athletes’ data and proposes a model-based regression algorithm in the construction of scoring algorithm. Moreover, based on the actual situation, a comprehensive model combining clustering and regression is proposed. In addition, in order to study the validity of the model, this paper designs a performance simulation test, compares the proposed algorithm model with the traditional algorithm model, and collects relevant experimental data and draws the corresponding statistical graph. The experimental results show that the combination of clustering and regression can improve the model’s effect and the results are like the expert scores, which verifies the practicality of the proposed algorithm and provides a theoretical reference for subsequent related research.
Scale prediction based MDNet for infrared target tracking
Authors: Hu Yangguang , Xiao Mingqing , Li Shaoyi , Yang Yao , Wu Sijie
Published: July 2020

Infrared target tracking is increasingly becoming important for various applications in recent years. However, it is still a challenging task as limited information can be obtained from the infrared image. Inspired by the excellent performance of deep tracker, a novel tracker based on MDNet is proposed. As the prior information has great value for target tracking, a modified Back-Propagation network is used for predicting the scale of target during tracking. The result of the prediction is used for generating candidate windows for online learning, which can improve the performance of tracker. To evaluate the proposed tracking algorithm, we performed experiments on the VOT-TIR2016 and AMCOM infrared data. The experimental results demonstrate that our algorithm provides a 1.94% relative gain in accuracy and 21.4% in robustness on VOT-TIR2016 when compared with MDNet.
Generalized type-2 fuzzy logic in galactic swarm optimization: design of an optimal ball and beam fuzzy controller
Authors: Bernal Emer , Castillo Oscar , Soria José , Valdez Fevrier
Published: July 2020

In this paper we present a modification based on generalized type-2 fuzzy logic to an algorithm that is inspired on the movement of large masses of stars and their attractive force in the universe, known as galactic swarm optimization (GSO). The modification consists on the dynamic adjustment of parameters in GSO using type-1 and type-2 fuzzy logic. The main idea of the proposed approach is the application of fuzzy systems to dynamically adapt the parameters of the GSO algorithm, which is then applied to parameter optimization of the membership functions of the bar and ball fuzzy controller. The experimentation was carried out using the original GSO algorithm, and the type-1 and type-2 fuzzy variants of GSO. In addition a disturbance was added to the bar and ball fuzzy controller plant to be able to validate the effectiveness of the proposed approach in optimizing fuzzy controllers. A formal comparison of results is performed with statistical tests showing that GSO with generalized type-2 fuzzy logic is the best method for optimizing the fuzzy controller.
Sustainability transition evaluation of urban transportation using fuzzy logic method-the case of Jiangsu Province
Authors: Lv Tao , Wang Yan , Deng Xu , Zhan Hui , Siskova Martina
Published: July 2020

City sprawl and rapid increase of petroleum-fueled passenger vehicles has attracted a lot of attention due to concerns of resource energy scarcity and associated environmental damage. This paper uses the transition theory of socio-technical system from the multi-level perspective to analyze the internal mechanism of urban transportation’s transition process and find the most sustainable measures to promote transition. A set of evaluation indicators are constructed for the urban transportation sustainability transition from macro landscape, meso regime and micro niche. Then these indicators are applied to 13 cities in Jiangsu Province and calculate scores of each using triangular fuzzy logic method. The results show that: most cities are in the ‘medium’ stage of transportation transition, while only 4 cities in the ‘relatively poor’ stage. Development of micro niche plays vital role in promoting the transition of urban transportation towards sustainability. Adequate infrastructure support and detailed implementation policies should be developed to protect the steady growth of innovation niches.
Diagnosis of Osteoporosis using modified U-net architecture with attention unit in DEXA and X-ray images
Authors: Nazia Fathima S.M. , Tamilselvi R. , Parisa Beham M. , Sabarinathan D.
Published: July 2020

BACKGROUND:

Osteoporosis, a silent killing disease of fracture risk, is normally determined based on the bone mineral density (BMD) and T-score values measured in bone. However, development of standard algorithms for accurate segmentation and BMD measurement from X-ray images is a challenge in the medical field.

OBJECTIVE:

The purpose of this work is to more accurately measure BMD from X-ray images, which can overcome the limitations of the current standard technique to measure BMD using Dual Energy X-ray Absorptiometry (DEXA) such as non-availability and inaccessibility of DEXA machines in developing countries. In addition, this work also attempts to analyze the DEXA scan images for better segmentation and measurement of BMD.

METHODS:

This work employs a modified U-Net with Attention unit for accurate segmentation of bone region from X-Ray and DEXA images. A linear regression model is developed to compute BMD and T-score. Based on the value of T-score, the images are then classified as normal, osteopenia or osteoporosis.

RESULTS:

The proposed network is experimented with the two internally collected datasets namely, DEXSIT and XSITRAY, comprised of DEXA and X-ray images, respectively. The proposed method achieved an accuracy of 88% on both datasets. The Dice score on DEXSIT and XSITRAY is 0.94 and 0.92, respectively.

CONCLUSION:

Our modified U-Net with attention unit achieves significantly higher results in terms of Dice score and classification accuracy. The computed BMD and T-score values of the proposed method are also compared with the respective clinical reports for validation. Hence, using the digitized X-Ray images can be used to detect osteoporosis efficiently and accurately.
Factors affecting customers' satisfaction on service quality – the case of Duong Vy service trading limited company
Authors: Tuan Nguyen Anh , Ly Nguyen Thi Vien
Published: July 2020

This study analyzes the factors affecting customer satisfaction about the service quality of businesses operating in the field of logistics, using the case study conducted at Duong Vy company. From the SERVQUAL model of Parasuraman, this study develops a model to measure the satisfaction of logistics service quality which consists of five factors, including (1) reliability, (2) responsiveness, (3) assurance, (4) empathy, and (5) tangibles. The study used quantitative methods (linear regression) to analyze data sets collected from 256 customers of Duong Vy to test the research hypotheses. The results show that responsiveness, assurances, and empathy have a positive impact on customer satisfaction. This comes from the characteristics of logistics industries that require assurance and accurate responsiveness. Therefore, the study offers some solutions for Duong Vy as well as the logistics industry to improve the quality of logistics services, such as (1) invest to improve the assessment of tangible value and customer trust; and (2) promote assurance, responsiveness, and empathy to increase customer satisfaction and enhance business efficiency.
Analisis Teknik dan Uji Kinerja Mesin Pengolah Kopi (Pulper dan Huller) Mobile pada Alat Mekanis Multiguna Pedesaan (AMMDes) Pengolahan Kopi (Studi Kasus di PT Kreasi Mandiri Wintor Indonesia, Kab. Bogor, Jawa Barat)
Authors: Akbar Fadzar Bagas , Yusuf Asep , Thoriq Ahmad , Sugandi Wahyu K
Published: July 2020

Mesin pengupas kulit buah kopi (pulper) dan gabah kopi kering (huller) yang telah ada di pasaran bersifat tidak mudah untuk dipindah-pindahkan (statis). Oleh karena itu perlu adanya mesin pengolah kopi yang dapat mobile atau terintegrasi pada kendaraan seperti pada Alat Mekanis Multiguna Pedesaan (AMMDes) pengolahan kopi, mencakup pulper dan huller. Kedua mesin tersebut merupakan hasil perancangan home industry sehingga belum memiliki spesifikasi aktual dan data uji kinerjanya, padahal data tersebut penting untuk mengetahui spesifikasi teknis mesin dan produksi massal dapat dilakukan dengan pertimbangan yang matang. Metode penelitian yang digunakan adalah analisis deskriptif dengan melakukan pengukuran, pengamatan, dan perhitungan untuk menganalisis teknik dan menguji kinerja mesin. Hasil analisis teknik pada kedua mesin menunjukkan sudah layak secara teknis, dengan parameter pada mesin pulper berupa kebutuhan daya 4,08 HP dan umur bantalan 27.660 jam. Sedangkan pada mesin huller yaitu kebutuhan daya 6,09 HP dan umur bantalan 11.743 jam. Hasil uji kinerja kedua mesin juga menunjukkan sebagian besar sudah memenuhi standar yang berlaku, namun perlu evaluasi untuk tingkat kebisingan dan getarannya. Hasil uji kinerja mesin pulper yaitu kapasitas aktual 390,1 kg/jam, rendemen pengupasan 64,2%, konsumsi bahan bakar 0,72 liter/jam, tingkat kebisingan 87,5 dB, dan getaran mesin 11,26 m/s2. Sedangkan pada mesin huller yaitu kapasitas aktual 107,4 kg/jam, rendemen pengupasan 75,1%, konsumsi bahan bakar 0,95 liter/jam, tingkat kebisingan 85,1 dB, dan getaran mesin 11,04 m/s2.
Respon Pertumbuhan dan Hasil Tanaman Sawi (Brassica junceea L.) Terhadap Pupuk Organik Cair Hasil Fermentasi Sabut Kelapa
Authors: Novianto Novianto , Effendy Iqbal , Aminurohman Aminurohman
Published: July 2020

Sayuran sawi merupakan sayuran yang sudah terkenal di Indonesia karena mengandung nutrisi yang cukup baik sehingga  bermanfaat bagi tubuh manusia dan dapat tumbuh baik pada dataran rendah maupun dataran tinggi. akan tetapi masih  perlu upaya peningkatan produksi. Salah satu tindak agronomi untuk meningkatkan hasil tanaman sawi  adalah dengan pemberian nutrisi berupa unsur hara   seperti  pupuk organic cair (POC) yang mudah dalam aplikasinya.  Percobaan ini bertujuan untuk mengevaluasi efek dari masa atau waktu  fermentasi sabut kelapa  diperlukan dalam proses pembuatan pupuk organik cair (POC) terhadap pertumbuhan dan hasil sawi. Percobaan  ini menggunakan rancangan acak kelompok (RAK) non faktorial, terdiri atas  6 taraf  perlakuan waktu fermentasi  sabut kelapa   yaitu : 0, 7, 14, 21, 28 dan 35 hari.  Hasil penelitian menunjukkan bahwa,  perlakuan lamanya  fermentasi sabut kelapa memberikan   respon sangat signifikan terhadap jumlah daun, biomas segar, berat akar dan  berat tajuk tanaman, serta  memacu pertumbuhan tinggi tanaman dan lebar daun.  Fermentasi sabut kelapa selama  35 hari  memacu  peningkatan terhadap semua parameter yang diamati.
One Case of Severe Head Injury Secondary to Multiple Organ Failure
Authors: Jiang Dawei , Kang Li
Published: July 2020

To investigate the cause of death of the identified person, the causation between injury and disease was analyzed. This appraisal uses the forensic pathology examination method, through carries on the autopsy, the pathology examination to the patient, unifies the medical record data to carry on. Through identification, it is considered that the identified person died of severe craniocerebral injury, thoracolumbar vertebra fracture and secondary multiple organ failure due to traffic accident.
Germanising Oshiwambo language
Authors: Uushona Johannes , Mbenzi Petrus
Published: July 2020

Oshiwambo, a Bantu language spoken in Northern Namibia and Southern Angola, like other languages in contact, has adopted foreign words from other languages to meet the needs of its daily life vocabularies and activities. This paper identified and described the phonological changes which the loanwords from German go through to fit into Oshiwambo speech system and established the phonological rules that account for these changes. The paper is based on the hypothesis that words borrowed from other languages, especially European languages, into Oshiwambo, are phonologically modified to fit the Oshiwambo speech system because little information is available on the phonological wambonisation of German words. The data were collected from school textbooks, daily conversations and personal vocabularies of the researcher. The loanwords were transcribed for phonological analysis. The paper investigated how Oshiwambo borrowed words from German yet the two languages differ widely in terms of phonemic inventories and phonotactics. It has become evident that there are several vowel and consonant changes in the process of borrowing. The paper contributes to the linguistic study in the area of Oshiwambo in particular and Bantu languages in general. The knowledge acquired could be utilized by the institutions of higher learning too.
Sexism in Haya Language Personal Names Selection
Authors: Buberwa Adventina
Published: July 2020

This paper examines sexism in naming focussing on the meaning of Haya personal names used in Haya community of North Western Tanzania. It is based on the assumption that some conscious personal names are selected in favour of men. This disparity is well examined by using the Critical Discourse Analysis approach. The paper presents field data from Bukoba Rural district in Kagera Region. The results reveal that meanings of male names were associated with high worthwhile the meanings of female names were associated with low worth. This was justified by the point that Haya male names referred to male as a saviour and helper of the family and society, a strong person, a fighter, a winner, rich and famous person while female names were connected with love, attraction, comfort, soothes and parents disappointment for having a baby girl. The study found that names of female children indicate an important argument that parents considerfemale child as a burden and liability. Generally, it was observed that selection of some Haya personal names was done in discriminatory manner that need an urgent emphasis on the value of names of girls in families and society in general.
Grade 1 teachers’ knowledge and perceptions regarding reading instruction in Windhoek, Namibia
Authors: February Pamela J
Published: July 2020

A number of international and national assessments show that Namibian children are not reading according to set benchmarks. The teaching and learning of reading can only be as good as the teachers who facilitate the reading acquisition process. Namibian learners are formally taught how to read in Grade 1, and thus this article focuses the perceptions of Grade 1 teachers in Windhoek, Namibia regarding their knowledge and classroom practices in teaching reading and how they support their learners’ reading acquisition. Through a survey to gauge their use of reading practices, 132 teachers were asked about the teaching methods they use, the specific instruction content they use, how they create a literate classroom, how they encourage and support poor readers, and whether and how reading instruction in small groups occurs. Their teacher training was examined, as well as the knowledge that they have regarding certain language and reading components that support reading instruction. Teachers reported that they mostly use a range of methods when teaching reading (83%), while (15%) report using only one method. Of all the reading and language skills that teachers had to select from, 90% included phonological awareness as part of their reading instruction content, more so than the other reading and language skills. Among different strategies used to create a literate environment in the classroom, the majority (82%) use labels and notices to draw children's attention to literacy. To encourage struggling readers to read, teachers indicated they mainly use simple, easy texts so that poor readers can experience success. The results of the study reveal that while most Grade 1 teachers (81%) claim that they have received average to excellent training in teaching reading and demonstrate that they overwhelmingly agree (99%) with good reading practices and beliefs, the results reveal that their actual knowledge of various aspects of reading does not relate to their stated teacher training and reading beliefs. It appears that the overall average for the knowledge section showed that less than 37% of teachers had detailed knowledge of specific aspects of reading such as being able to identify syllables, morphemes, and speech sounds in words as well as demonstrating knowledge of phonics, phonemes, and diphthongs. The article discusses some strategies to alleviate some of the issues highlighted in the results.
Study of MHD Heat and Mass Transfer Flow for Hall and Ion-Slip Currents Effects in High Porosity Medium and Revolving System
Authors: Hossain Md. Delowar , Samad Md. Abdus , Alam Md. Mahmud
Published: July 2020

In high porosity medium and revolving system the effects of ion-slip and Hall currents are studied on MHD heat and mass transfer flow. The non-linear coupled partial differential equations are determined using byl transformations and solve these equations employing finite difference method. Velocity, temperature as well as concentration profiles are studied for the concerned physical parameters and results are presented graphically. Due to the Hall and ion-slip parameters, Eckert number, and porosity parameter the velocity profiles are pronounced while it is declined for the effects of magnetic parameter, Prandtl number. Also the magnetic parameter enhances the temperature profiles. On the other hand, the temperature (concentration) profile decreases (increases) for the increasing effect of Prandtl number (Soret number). The rate of changes of velocity, temperature and concentration profiles are also presented graphically.
Determinants of Capital Structure: A Study on Some Selected Corporate Firms in Bangladesh
Authors: Hossin Md. Shakhaowat , Mia Sumon
Published: July 2020

This paper scrutinizes Determinants of Capital Structure: A study on some selected corporate firms in Bangladesh. We have taken 10 out of 37 listed companies of DSE dividing into two sectors i.e. Pharmaceuticals and chemicals and Tannery sector, five years data from 2013 to 2017 has been collected from respective annual reports. Total number of observations was 50. There are different factors that affect a firm's capital structure decision. We use leverage (D/E ratio) as dependent variable and independent variables are profitability, tangibility, tax, size, growth, non-debt tax shield (NDTS) and financial costs. By using Descriptive Statistical Analysis, Correlation Analysis and Regression Analysis tools we find that Tangibility, size, NDTS, and financial costs are positively related with leverage and Profitability, tax, and growth are negatively related with leverage. In our analysis we see profitability, tangibility of asset, growth and non-debt tax shield have significant association. So when we take capital structure decision of the above firms we should consider profitability, tangibility of asset, growth and non-debt tax shield because other independent variables are insignificant in the context of Bangladesh economy.
Prediction and Recognition of Gram-Negative Bacterial Promoter Sequences: An Analysis of Available Web Tools
Authors: Klauck Hugo André , Dall’Alba Gabriel , Avila e Silva Scheila de , Longaray Delamare Ana Paula
Published: July 2020

Many computational methods aim to improve the prediction and recognition of transcription elements in prokaryotes. Despite this, the natural features of those elements make their prediction and recognition remain as an open field of research. In this paper, we compared the open-access tools BacPP, BPROM, bTSSfinder, CNNPromoter_b, iPro70-PseZNC, NNPP2, PePPer, and PromPredict. First, we listed the overall functionalities of each tool and the resources available on their web pages. Later, we carried out a comparison of prediction results using 206 intergenic regions. When evaluating the prediction using intergenic regions containing a single promoter within each, NNPP2 and BacPP obtained >90% correct predictions, with NNPP2 obtaining the highest values of match between predicted promoter location and location indicated by RegulonDB. Overall, many discrepancies were observed among the results. They may be explained by the differences in the methodologies that each tool applies for promoter prediction, not excluding the natural features of promoters as a factor as well. In any case, the results highlight the necessity to continue the efforts to improve promoter prediction, perhaps combining multiple approaches. Through said efforts, some of the challenges of the postgenomic era may be tackled as well.
A FUZZY RULE-BASED EXPERT SYSTEM FOR ASTHMA SEVERITY IDENTIFICATION IN EMERGENCY DEPARTMENT
Authors: Mohd Sharif Nurul Atikah , Ahmad Norazura , Ahmad Nazihah , Mat Desa Wan Laailatul Hanim , Mohamed Helmy Khaled , Ang Wei Chern , Zainol Abidin Ida Zaliza
Published: July 2020

The emergency department (ED) of a hospital is an important unit that deals with time-sensitive and life-threatening medical cases. Rapid treatment and accuracy in diagnosis are considered the main characteristics of excellent operational processes in ED. However, in reality, long waiting time and uncertainty in the diagnosis has affected the quality of ED services. Nonetheless, these problems can be improved by utilising computing technologies that assist medical professionals to make fast and accurate decisions. This paper investigates the issues of under-treatment and uncertainty condition of acute asthma cases in ED. A novel approach, known as the fuzzy logic principle is employed to determine the severity of acute asthma. The fuzzy set theory, known as Fuzzy Rule-based Expert System for Asthma Severity (FRESAS) determination is embedded into the expert system (ES) to assess the severity of asthma among patients in ED. The proposed fuzzy methodology effectively manages the fuzziness of the patientâ€™s information data, and determines the subjective judgment of medical practitionersâ€™ level on eight criteria assessed in severity determination. Knowledge acquisition and representation, fuzzification, fuzzy inference engine, and defuzzification are the processes tested by the FRESAS development that incorporates expert advice. The system evaluation is performed by using datasets that were extracted from the ED clerking notes from one of the hospitals in Northern Peninsular Malaysia. System evaluation demonstrates that the proposed system performs efficiently in determining the severity of acute asthma. Furthermore, the proposed system offers opportunities for further research on other types of diseases in ED, and improves other hybridisation approaches.
A SYSTEMATIC MAPPING STUDY ON CLOUD-BASED MOBILE APPLICATION TESTING
Authors: Yaâ€™u Badamasi Imam , Salleh Norsaremah , Nordin Azlin , Idris Norbik Bashah , Abas Hafiza , Alwan Ali Amer
Published: July 2020

Mobile applications and devices have played a significant role in boosting global businesses that encompass various domains such as health, education, banking, and transportation. These tools have become indispensable for everyday activities, and its applications have been developing rapidly with diverse features and platforms. However, this has created new problems and security challenges. To ensure the quality and security of these applications, a rigorous and systematic testing using cloud-based environment is required. By employing systematic mapping study (SMS) method, this paper will examine the empirical studies that address the issues on cloud-based mobile application testing. This paper presents a total of 23 primary studies that investigate cloud based mobile application testing and the effect of Testing as a Service (TaaS). The majority of these studies (56.5%) contribute to literature with a number of framework proposals. A large proportion of the studies (60.9%) analyzed Android applications, and usually supported a single type of mobile app testing. Other than that, the majority of the studies (52.2%) have failed to investigate the outcomes of TaaS, despite a plethora of services that offers TaaS. The SMS method conducted in this paper has identified gaps in literature, which are: 1) there is a lack of general and scalable approaches to support the diverse types of mobile app testing for applications using various platforms, and 2) the lack of evaluation methods such as case study to validate the proposed approaches.
CONTEXT ONTOLOGY IN MOBILE APPLICATIONS
Authors: Norki Farhanah Atiqah , Mohamad Radziah , Ibrahim Noraini
Published: July 2020

Mobile applications are expected to receive context input Mobile applications are expected to receive context in put such as location, speech, and network from different context providers. Since context can be considered as knowledge, a formal method is needed to capture this knowledge. There isless work on ontology model that could be reused to model a new context ontology for Android mobile application. Therefore, this study proposed an ontology specifically for Android mobile application, COCCC, to formalize context knowledge present within it. METHONTOLOGY method was used to create COCCC ontology as it offers intermediate representation in the form of concepts. The concepts from the context ontology were extracted from various resources, sorted and categorized based on types and functions for standardization purposes. Survey was given to five domain experts for evaluation of COCCC ontology in terms of its usability. Data from these experts were analyzed and the results have confirmed that the proposed context ontology is usable to Android mobile application developers.
PENGGUNAAN REGRESI LINEAR MULTIPEL DAN METODE KUADRAT TERKECIL UNTUK MENGANALISISFAKTOR-FAKTOR YANG MEMPENGARUHI HASIL PRODUKSI JAGUNG DI KABUPATEN BELU
Authors: Klau Kondradus Yohanes
Published: July 2020

Pangan merupakan kebutuhan pokok primer yang sangat vital dan bersifat hakiki. Salah satu bahan pangan yang sangat dibutuhan masyarakatpropinsi Nusa Tenggara Timur adalah jagung. Produksi jagung untuk penyediaan pangan sebagai pengganti beras telah berlangsung sejak dahulu dan menjadi prioritas mayoritas masyarakat di Kabupaten Belu.Penelitian ini dilakukan untuk mengetahui faktor-faktor yang mempengaruhi hasil produksi jagung di kabupatenBeluyaitu luas panen, curah hujan, dan hari hujan. Berdasarkan hasil penelitian menggunakan regresi linear multipel dan metode kuadrat terkecil diperoleh persamaan: Y^=3,1679+2,3216X1+0,6819X2-10,4391X3

Setiap variabel bebas baikluas panen (X1), curah hujan (X2), maupun hari hujan (X3) berperan mempengaruhi hasil produksi jagung.
ANALISIS KESALAHAN SISWA SMP DALAM MENYELESAIKAN SOAL BERBENTUK HIGHER ORDER THINKING (HOT) PADA MATERI ALJABAR
Authors: Bete Hendrika
Published: July 2020

Pendidikan dapat menjadi bekal bagi seseorang siswa untuk melakukan inovasi dan perbaikan dalam aspek – aspek kehidupannya yang mengarah pada peningkatan kualitas diri. Peran pendidikan tersebut sangatlah penting. Agar dapat tercapai peningkatan kualitas siswa yang lebih baik, salah satu upaya adalah melatih kemampuan tingkat berpikir secara khusus berpikir tingkat tinggi (Higher order thinking). Namun masih banyak terdapat kendala yakni masih banyak kesalahan – kesalahan yang dilakukan oleh siswa dengan jenis kesalahannya yakni kesalahan konsep, kesalahan prinsip dan kesalahan kecerobohan. Hasil penelitian ini bertujuan untuk menganalisis kesalahan siswa SMP dalam menyelesaikan soal berbentuk higher order thinking pada materi aljabar. Metode yang digunakan adalah tes dan wawancara terhadap 9 orang subjek penelitian dari 3 sekolah berdasarkan kemampuan siswa yakni kemampuan tinggi, kemampuan sedang dan rendah. Hasil penelitian menunjukkan bahwa terdapat perbedaan terhadap jenis kesalahan yang dilakukan oleh siswa yang memiliki kemampuan tinggi, kemampuan sedang dan kemampuan rendah.
MODEL HAZARD UNTUK LAJU KERUSAKAN PIPA AIR BERDASARKAN DATA TERSENSOR TIPE II YANG BERDISTRIBUSI LOGNORMAL
Authors: Seso Delvion Eduardus Beo
Published: July 2020

Air bersih merupakan kebutuhan dasar bagi makluk hidup dalam kehidupan sehari-hari. Untuk mempermudah pendistribusian air dari sumber air ke tempat tujuan diperlukan sarana penghubung yaitu pipa air yang dirancang sebagai jaringan pipa air. Masa pemakaian pipa dibatasi oleh waktu mengenai daya tahan pipa tersebut sehingga rentan terhadap kerusakan pipa semakin besar berjalannya waktu. Oleh karna itu dalam penulisan ini, untuk menentukan laju kerusakan pipa yang diuji pada suatu keadaan tertentu maka dilakukan analisis laju kerusakan suatu komponen yang dikenal dengan analisis model hazard yang dikembangkan dari analisis reliabilitas. Tujuannya untuk menentukan model hazard untuk laju kerusakan pipa air berdasarkan data tersensor tipe ii yang berdistribusi lognormal. Hasil pengolahan dari data jaringan pipa DMA Buring 3F dengan nilai estimasi untuk diperoleh nilai parameter dari distribusi lognormal yaitu  dan  sehingga diperoleh laju kerusakan pipa berumur 45 dan 55 tahun masing-masing yaitu 0,024 dan 0,029.
EKSPLORASI ETNOMATEMATIKA UEM LE’U INSANA DALAM KAITANNYA DENGAN KONSEP GEOMETRI
Authors: Funan Fransiskus Xaverius , Mamoh Oktovianus
Published: July 2020

Penelitian kualitatif ini dengan pendekatan etnografi bertujuan untuk mengeksplorasi konsep-konsep matematika yang ada pada bentuk dan struktur uem le’u. Penelitian dilaksanakan di Desa Letneo Selatan, Kecamatan Insana Barat, Kabupaten Timor Tengah Utara pada semester ganjil tahun ajaran 2017/2018. Subjek penelitian adalah informan yang terdiri dari kepala suku dan masyarakat. Instrumen penelitian berupa human instrument, pedoman observasi dan pedoman wawancara. Analisis data dilakukan melalui tiga tahap yaitu reduksi data, display data dan penarikan kesimpulan. Hasil penelitian yang diperoleh adalah ditemukan konsep-konsep geometri sebagai pola dalam membuat bangunan uem le’u. Konsep geometri yang terkandung dalam bentuk dan struktur uem le’u adalah titik, garis, sudut, bangun datar dan bangun ruang. Hal ini menunjukkan bahwa matematika tumbuh dan berkembang dalam keteraturan adat masyarakat tertentu yang disebut dengan istilah etnomatematika.
PENERAPAN ALGORITMA BRANCH AND BOUND PADA PERSOALAN PEDAGANG KELILING (TRAVELLING SALESMAN PROBLEM)
Authors: Simarmata Justin Eduardo
Published: July 2020

Persoalan pedagang keliling merupakan persoalan optimasi untuk mencari perjalanan terpendek bagi pedagang keliling yang ingin berkunjung ke beberapa kota, dan kembali ke kota asal keberangkatan. Beberapa metode telah digunakan untuk memecahkan  persoalan TSP. Namun, pada zaman yang serba praktis sekarang ini dibutuhkan algoritma yang dapat menyelesaikan TSP dengan cepat sehingga diperoleh solusi yang mendekati.  Penelitian ini membahas tentang algoritma Branch and Bound dalam menyelesaikan persoalan TSP. Dengan menerapkan algoritma Branch and Bound pada hasil pembahasan persoalan pedagang keliling (Travelling Salesman Problem) dalam penelitian ini maka diperoleh rute perjalanan terpendek dengan biaya yang paling minimal.
PROFIL BERPIKIR SISWA DALAM MEMECAHKAN MASALAH MATEMATIS BERDASARKAN MODEL POLYA
Authors: Purnomo Ragil Joko , Widodo Sri Adi , Setiana Dafid Slamet
Published: July 2020

Penelitian ini bertujuan untuk mengetahui proses berpikir yang dilakukan siswa dalam menyelesaikan masalah matematika berdasarkan perkembangan kognitif Piaget. Jenis penelitian ini adalah kualitatif deskriptif. Subjek penelitian ini adalah 4 siswa di SMP Negeri 15 Yogyakarta yang diambil secara purposive sampling. Teknik pengumpulan data menggunakan tes dan wawancara. Teknik analisis data yang digunakan adalah reduksi data, penyajian data, verifikasi data, dan penarikan Kesimpulan. Hasil penelitian menunjukan bahwa dari siswa kongkret melakukan proses berpikir asimilasi dalam memahami masalah (tahapan diketahui dan ditanyakan), melakaukan proses berpikir akomodasi dalam melaksanakan rencana (tahapan dijawab), dan melakukan proses berpikir asimilasi dalam tahap memeriksa kembali (menyimpulkan hasil jawaban). Sedangkan pada siswa transisi melakukan proses berpikir berpikir asimilasi dalam memahami masalah (tahapan diketahui dan ditanyakan), melakaukan proses berpikir asimilasi dalam melaksanakan rencana (tahapan dijawab), dan melakukan proses berpikir asimilasi dalam tahap memeriksa kembali (menyimpulkan hasil jawaban).