bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Learning Organization Practices on Subjective Performance of Employees: The Case of Islamic Financial Institutions (IFIs) of Developing Countries
Authors: Shah Muhammad Abdul Rehman , Meher Bano  , Shaherbano
Published: January 2021

Purpose: The objective of this study is to explore the relationship between learning organization practices and subjective performance of employees moderated by employee engagement in in emerging financial markets of Malaysia, Pakistan, and Indonesia. There are identified continuous learning, collaboration and team learning, system to capture learning, empower employees, the connection to organization, strategic leadership, inquiry and dialogue as seven dimensions of learning organization practices. All of them affect more or less the subjective performance of employees in any organization.

Research Design: We select the sample of 230 people working in different departments of Islamic Financial Institutions (IFIs) of developing countries; Malaysia, Pakistan, and Indonesia. Data is collected from the concerned organizations.

Findings: On empirical basis, the relationship is found highly significant, learning organization is affecting subjective performance of employees with maximum coefficient of β=.681, which means an increase in learning organization practices will affect subjective performance of employees positively in emerging Islamic financial markets of Malaysia, Pakistan, and Indonesia.

Practical implications: The study recommends that learning organization practices should be considered to increase the subjective performance of the employees in IFIs of developing countries.

Originality/ value: An association between learning organization practices and subjective performance is explored with major concentration on conventional institutions of the developed countries, whereas this study explores the impact of learning organization practices on subjective performance of employees in the case of Islamic financial institutions (IFIs) of developing countries.
ICT4D : Family Planning and Reproductive Health
Authors: Wangui Nyamwamu Roseline , Nambiro Alice
Published: January 2021

There is an ever-increasing trend in the utilization of Information and Communiation Technologes (ICTs) around the globe. However, the diffusion of innovations is not even in developing nations, requiring the implementation of Information and Communiation Technologies for Development (ICT4D) policies to promote the reach of ICTs. In the field of family planning and reproductive health, ICTs, ranging from radio devices, television sets, wireless communication, mobile devices and computers play a significant enabling role in ensuring that reproductive health reaches many. In Kenya, there are several initiatives that this paper highlights as far as reproductive health is concerned. With the right policies, best practices as elucidated from past projects, and funding, ICTs have the capacity to increase access to reproductive health.
A Task Offloading Strategy Based on Deep Reinforcement Learning
Authors: Liu Junquan , Pan Yuwen
Published: January 2021

Due to the limited bandwidth of Base Station (BS), without task offloading strategy in Mobile Edge Computing (MEC) scenarios, it will waste lots of resources of mobile edge devices. The greedy algorithm is an effective solution to optimize the task offloading strategy in MEC scenarios. It focuses on obtaining the maximal value, which consists of energy consumption and computation time from BS every step. However, the number of offloading tasks is another key optimized target, and it shows not ideal results with the greedy algorithm. In this paper, we aim to find a superior strategy to offload the tasks in MEC scenarios, which will fully obtain the resources from BS. Because this model can be considered as an optimization problem, we propose a task offloading strategy with deep reinforcement learning (TO-DRL). Weighted sum of task offloading number, energy consumption and computation time is the optimization target in this formulated problem. Numerical experiments demonstrate that compared with greedy algorithm, TO-DRL shows better performance in task offloading number.
A Fast-Effective Algorithm on A Concise Representation of Top Rated Utility Mining Datasets
Authors: Subani Shaik , Suresh B. V. N. Krishna
Published: January 2021

The average of customer ratings on a product, which we call a reputation, is one of the key factors in online purchasing decisions. There is, however, no guarantee of the trustworthiness of a reputation since it can be manipulated rather easily. In this paper, we define false reputation as the problem of a reputation being manipulated by unfair ratings and design a general framework that provides trustworthy reputations. For this purpose, we propose Trust-reputation, an algorithm that iteratively adjusts a reputation based on the confidence of customer ratings. We also show the effectiveness of Trust-reputation through extensive experiments in comparisons to state-of-the-art approaches.
Remarks on Recognition of Aromas from Tea Sources Using MQ3, MQ5, MQ7 Sensor Signal
Authors: Desai Vinod , Koregol Prabhu H , Teli Rohan
Published: January 2021

This study investigated the capacity of a deep neural network to distinguish tea sources based on their aromas. The data set of aromas from tea sources, which contained sensor responses measured with a gas–sensing system using a mass– sensitive chemical sensors namelyMQ3, MQ5, MQ7, was used to evaluate the recognition accuracy. To de?ne the input vectors of the deep neural network in aroma recognition experiments, frequency analysis using a continuous wavelet transform, with the Morlet function as the mother wavelet, was used to extract features from the sensor signals of the data set. The deep neural network achieved a recognition accuracy of 100% for the tea sources and the base gas of de humidified indoor air. Comparing the recognition accuracy of the deep neural network to that obtained from other pattern recognition methods, such as naive Bayes and random forests, the experimental results demonstrated the effectiveness of applying a deep neural network to this task.
Recognition of Aromas from Tea Sources based on MQ3, MQ5, MQ7 Sensor Signal
Authors: Desai Vinod , Sonnad Venkatesh , Patil Sneha
Published: January 2021

This study investigated the capacity of a deep neural network to distinguish tea types based on their aromas. The data set of aromas from tea leaves, which contained sensor responses measured with a gas–sensing system using a mass– sensitive chemical sensors namelyMQ3, MQ5, MQ7, was used to evaluate the recognition accuracy. To define the input vectors of the deep neural network in aroma recognition experiments, frequency analysis using a continuous wavelet transform, with the Morlet function as the mother wavelet, was used to extract features from the sensor signals of the data set. The deep neural network achieved a recognition accuracy of 100% for the three tea types: oolong, jasmine and pu’erh, and the base gas of dehumidified indoor air. Comparing the recognition accuracy of the deep neural network to that obtained from other pattern recognition methods, such as naive Bayes and random forests, the experimental results demonstrated the effectiveness of applying a deep neural network to this task.
Framework for Evaluation of Effectiveness of Integrated Financial Management Information Systems Architecture Implemented in Public Hospitals in Kenya.
Authors: Afwande Margaret , Mbugua Samuel , Kilwake Juma
Published: January 2021

Integrated Financial Management Information System (IFMIS), is an enterprise resource planning application that captures all functional processes and relevant financial flows within Public expenditure management. IFMIS is being adopted by the Public hospitals to promote efficiency, effectiveness, accountability, transparency, security of data management and comprehensive reporting. However the Public hospitals are loosing a lot of money through scandals and this has compromised service delivery to the Public. Therefore, the purpose of this study was to investigate the effectiveness of IFMIS as used in Public procurement services in Public Hospitals in Kenya and come up with an enhanced secure technical architecture. The objectives of the study were: to asses the extent to which IFMIS has been implemented in Public procurement services in Public hospitals in Kenya, to evaluate the effectiveness of IFMIS in enforcing logical access and technical controls in Public procurement services in Public Hospitals in Kenya and to develop a framework that will evaluate the effectiveness of IFMIS architecture that is implemented in Public procurement services in Public hospitals in Kenya .The study used mixed method research design targeting users of IFMIS. Stratified sampling was used to select the target population of 132 in 4 hospitals in Kenya. The target population was from 5 homogeneous stratum comprising of 44 Procurement Assistants, 36 Finance Assistants, 12 Audit Assistants, 28 Medical Practioneers and 12 ICT Staff. Proportional allocation method was used to calculate the sample size which was 99 respondents. The data was collected through questionnaires and direct observation. Content validity was done to ascertain the validity of the research instruments. Reliability of the instruments was carried out using test-retest technique. Internal consistence of data was computed using Cronbach Alpha Computation. Analysis of Quantitative and qualitative data was through descriptive and inferential statistics methods and content analysis respectively. The study developed a framework of enhanced technical architecture of IFMIS that would streamline procurement services in Public hospitals and improve provision of quality health care.
Analysis of Active Learning for Social Media to Support Crisis Management
Authors: Waghmare Mayuri S. , Yengantiwar Tarun
Published: January 2021

People use social media (SM) to describe and discuss different situations in which they are involved, such as crises. It is therefore useful to exploit SM content to support crisis management, especially by revealing useful and unknown information about real-time crises. Therefore, we propose a new active online multi-prototype classifier called AOMPC. It identifies relevant data related to a crisis. AOMPC is an online learning algorithm that runs on data streams and contains active learning algorithms for actively querying the label of obscure unnamed data. The number of queries is controlled by a consistent budget strategy. In general, AOMPC allows for somewhat labeled data streams. AOMPC evaluated using two types of data: (1) synthetic data and (2) SM data from Twitter related to two crises, the Colorado floods and the Australian pushfires. To provide a complete estimate, a complete set of known measurements was used to examine the quality of the results. Furthermore, a sensitivity analysis was conducted to show the effect of the parameters of AOMPC on the accuracy of the results. AOMPC's comparative study was conducted against other available online learning methods. Tests to handle emerging, somewhat labeled data streams showed AOMPC's excellent behavior.
Manufacture of High Current Low Voltage Power Supply with Using the Mot (Microwave Oven Transformer)
Authors: Sirait Arman Hidayat , Tarigan Kerista , Situmorang Marhaposan
Published: January 2021

The manufacture of low voltage high current power supply using the MOT (Microwave Oven transformer) has been done. The purpose of this work is to convert low voltages into high currents by utilizing simple electrical equipment. This work use of varying voltages and different windings which are changed on the secondary winding section with a cable size of 240 mm 2, NYA cable type. The test is carried out with a series circuit, parallel circuit, and single circuit by utilizing a voltage of 30 V, 60 V, 90 V, 120 V and 5 different variations of winding. The results of this test provide knowledge of new methods that can be applied to iron smelting.
Method for Evaluating Fractional Derivatives of Fractional Functions
Authors: Yu Chii-Huei
Published: January 2021

This paper studies the fractional differential problem of fractional functions, regarding the modified Riemann-Liouvellie (R-L) fractional derivatives. A new multiplication and the fractional power series method are used to obtain any order fractional derivatives of some elementary fractional functions.
Real Time Full Duplex Gesture Vocalizer for Mute People
Authors: Mehta Aman , Narhare Vikas , Shaikh Sara , Koli Sanjay
Published: January 2021

Making a smart full Duplex interacting system of communication for Mute people. Using this system, normal people can communicate with Mute person by speaking in normal way and the mute person will be able to express what he/she wants to say. Hence the system is termed as full Duplex mode of communication system. When the system is used by mute person, input to the system will be the sign language and output will be in the form of audio(voice) that means the system will vocalize the gesture. When the system is used by normal person, input to the system will be his/her voice and output will be appropriate sign language image which will be understandable to the mute person. In this way this system helps to reduce the time consumption required to communicate between a normal and mute person. This proposed system aims to lower the barrier in communication.
The Business Failure Prediction Using Statistical Approach
Authors: Noprisson Handrie
Published: January 2021

The topic of business failure is important because it can be used as a basis for policy making by stakeholders in a company or government. The results of business failure predictions can be used as company managers to take preventive measures for business failure. This study aim is to study the literature regarding the methods and results of predicting business failure from various sectors and regions. We used PRISMA (preferred reporting items for systematic reviews and meta-analyses) for conducting this research. As the result, we found twelve statistical methods for business failure prediction, including Hybrid Failure Prediction (HFP), Altman’s Z-score Model, Data Envelopment Analysis (DEA), Logistic Regression (LR), Neural Networks (NN), Support Vector Machine (SVM), Kernel Fuzzy C-Means (KFCM), IN01, IN05, Ohlson Model, Cart-Based Model and Cash-Flow-Based Measures. The highest result obtained by using cart-based model for dataset of financial indicators of Slovak companies with 92,00% accuracy.
Application of Machine Learning for SARS-CoV-2 Outbreak
Authors: Ayumi Vina
Published: January 2021

The plan to overcome disease outbreaks due to the novel Coronavirus (SARS-CoV-2) can be viewed from various sides, including the role of computer technology namely machine learning. This technology has been used to solve many problems, including medical-related problems. Due to the importance of research study of machine learning on COVID-19 issues, this research aim is to review literature of application of machine learning for COVID-19 outbreak by using PRISMA methodology. We obtained sixteen research articles as research data. As a result, we identified there three main aims of research study of machine learning on COVID-19 issues, including patient detection (based on the symptoms), epidemic trends or prediction, and social impact. Moreover, the method of machine learning that has been identified to solve COVID-19 issues, including Convolutional Neural Networks (CNN), Deep Neural Networks (DNN), Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbors (K-NN), Logistic Growth Forecasting Model, Naïve Bayes, Unbiased Hierarchical Bayesian Estimator, Biterm Topic Model (BTM), Support Vector Regression (SVR), Confidence-Aware Anomaly Detection (CAAD), Deep Learning Survival Cox (DLSC), Partial Derivative Regression and Nonlinear Machine Learning (PDR-NML).
Exploring e-Tourism : Technology and Human Factors
Authors: Noprisson Handrie
Published: January 2021

Information services are very important to attract tourists to come to a certain country or location which can be provided through e-Tourism application. This application is for people who will find out more about the location they will visit. People need to know the location, the length of the trip or the price details for each item they will buy during the trip. Due to this, many countries have developed their respective e-Tourism application. This paper presented the lesson-learn of e-Tourism development from several countries to understand main components of e-Tourism design. We found four main modules of e-Tourism application including booking services, recommender services, tour plan services and information center services. The human factors of application intention usage are influenced by perceived ease of use, perceived usefulness, experience, information quality, domain specific innovativeness. Moreover, we also obtained the factors influenced tourism tour booking intention, including advice of travel agent, e-commerce feature, access time, possibility of comparison, information obtained from destinations, social media and opinions & perception target.
Classification techniques based on Artificial immune system algorithms for Heart disease using Principal Component Analysis
Authors: Bahekar Kirti Bala
Published: January 2021

The modern era is a period of machine learning, which helps in finding new facts for future predictions. Classification is a machine learning tool that helps in the discovery of knowledge in Big data and has various potential applications. Researchers nowadays are more inclined to the techniques which are inspired by nature. The artificial immune system (AIS) is such a method that is originated by the qualities of the humanoid immune system. In this paper, artificial immune stimulated classifiers as supervised learning methods are used for classifying Heart disease datasets. The performance of the classifiers strongly depends on the datasets used for learning. Here it is observed that, when the principal component analysis is performed on the standard dataset, then classifiers' accuracy and other facts show improvement in performance, which leads to a fall in errors.
Effectiveness of Online Learning During Covid – 19 Pandemic : Students Perspective
Authors: Gallani Vaibhav
Published: January 2021

Effectiveness of Online Learning During Covid – 19 Pandemic : Students Perspective
Design, Analysis and Simulation of Compact Cycloidal Drive
Authors: Naveen Palliprath , Kiran Ravi , Siva Sankaram Emani Venkata Sai , Bharadwaj Tirupathi Mani
Published: January 2021

Gear’s are used for power transmission. There are various types of gears used for various purposes. Some various gears are as follows spur gears, helical gears, bevel gears, worm gear, etc. In this paper we are going to discuss briefly about the cycloidal gears and their future scope in the field of science. A cycloidal gear is mainly used to increase or decrease the speed. We are going to use it to decrease the speed while increasing the accuracy of the projectile. In this paper we are going to consider the cycloidal gears for the projectile of the missile. There can be of Single stage or multi-stage depending on the gear ratio that is required. After comparison with the other types of gearbox and speed reducers maximum reduction of gear ratio is achieved by cycloidal speed reducer
A Review of Case Studies on Climate Change Impact on Hydrologic Cycle: An Indian Perspective
Authors: Bhunya P K , Kumar Sanjay , Gurrapu Sunil , Bhuyan M K
Published: January 2021

In recent times, several studies focused on the global warming that may affect the hydrological cycle due to intensification of temporal and spatial variations in precipitation. Such climatic change is likely to impact significantly upon freshwater resources availability. In India, demand for water has already increased manifold over the years due to urbanization, agriculture expansion, increasing population, rapid industrialization and economic development. Numerous scientific studies also report increases in the intensity, duration, and spatial extents of floods, higher atmospheric temperatures, warmer sea, changes in precipitation patterns, and changing groundwater levels. This work briefly discusses about the present scenario regarding impact of climate change on water resources in India. Due to the insufficient resolution of climate models and their generally crude representation of sub-grid scale and convective processes, little confidence can be placed in any definite predictions of such effects, although a tendency for more heavy rainfall events seems likely, and a modest increase in frequency in floods. Thus to analyses this effect, this work considers real problems about the changing flood characteristics pattern in two river regions, and the effect of spatial and temporal pattern in rainfall. In addition to these, the work also examines the trend of groundwater level fluctuations in few blocks of Ganga–Yamuna and Sutlej-Yamuna Link interfluves region. As a whole, it examines the potential for sustainable development of surface water and groundwater resources within the constraints imposed by climate change.
Water Contamination in Petroleum Refinery Processes
Authors: Abou El Lei Ibrahim M. , Mezughi Khaled M. , Triki Nuri M.
Published: January 2021

This study was conducted to assessment the environmental impacts in petroleum refineries due to the different processes. The paper presents the data obtained during a case study was achieved in Tobruk petroleum refinery. The main petroleum products of the refinery represented by diesel, light naphtha, heavy naphtha and kerosene with maximum production capacity concerning 21,500 bbl/day. The results of the study revealed that the waste water affected by high concentration of hydrocarbons. The heavy metals are also determined and represented by V, Fe, Ni and Cu with low contents in crude oil. Also the pollutants parameters in the disposal water e.g. biochemical oxygen demand, chemical oxygen demand, total organic carbon, suspended solids, phenols, ammonia and sulphides are determined, and the results are compared with other refinery types. The concentration of these parameters are higher than the standard values that recommended by Environmental Protection Agency (EPA), at the same time these values are less if they are compared with the other refinery types.
Directions for Road Management Plans and Strategies for Regional Development in Aceh Besar Regency, Indonesia
Authors: . Irhamdi , P. Sitorus Santun R. , Soma Sukmana
Published: January 2021

Since Aceh Besar Regency has limited funds, it should focus more on road transportation services on improving existing roads. This study aims to determine the condition of existing roads, analyze the level of development of the sub-regency, analyze and develop road management plans and strategies in Aceh Besar Regency. Descriptive analysis methods, GIS, and scalogram to identify the level of development in the sub-regency and methods to get decisions about road management plans and strategies in this study used the AHP and SWOT methods. The results of the study show that the existing road conditions are around 1,644.36 KM in good condition, 330.48 KM and 387.08 KM in moderate condition, while the rest are still in a damaged condition, for the type of asphalt surface around 761.91, while the rest is still in the form of gravel and soil. The scalogram results show 3 regency are service centers (Hierarchy I), 9 regency are service sub-centers (Hierarchy II), and 11 sub-regency are hinterland areas (Hierarchy III). Based on the AHP analysis, it is found that the potential for tourism objects is more dominant in determining road handling, namely there are 5 priority sections and in the SWOT analysis using the ST (Strenght-Threats) diversification strategy (1) Road handling is carried out by the regional government of Aceh Besar Regency in developing regional potential such as regional tourism objects, markets and agriculture, (2) The government focuses on building damaged road infrastructure for smooth accessibility, (3) Aceh Besar Regency Government utilizes the private sector or investors in road handling (4) The regional government aims to maintain road quality for convenient access to all territory.
Jeevan Jyoti Mobile Application for Ambulance Service
Authors: Kashyap Shivam Kumar , Mishra Sainandini , Lutimath Nagaraj M.
Published: January 2021

In these modern times where the technologies is evolving every day. In order to cope up with the need of proper ambulance services during medical emergency situation, an android mobile application named Jeevan Jyoti is introduced which will aim successful booking of ambulance with required medical support both in the ambulance and from the hospital. Mobile application is a growing and in-demand technology because of its easier accessibility and feasibility to remind users about the upcoming updates with the help of push notification. This idea approaches a system where whenever a request for ambulance is raised, it sends that request to all the nearby hospital(s) along with the parameters such as ambulance type, number of casualties, symptoms, medical report, etc. To expand this system, IoT is added which will help the doctor monitor the vital stats such as pulse rate and temperature of the patient continuously while the ambulance is en-route to the hospital.
IMPLEMENTASI ALGORITMA FAST FOURIER TRANSFORM PADA MONITOR GETARAN UNTUK ANALISIS KESEHATAN JEMBATAN
Authors: Fatah Ahmad , Ungkawa Uung , Barmawi Mira Musrini
Published: January 2021

Jembatan merupakan bagian yang penting dalam suatu sistem jaringan jalan, karena pengaruhnya yang signifikan bila jembatan itu runtuh atau tidak berfungsi dengan baik, maka keruntuhan jembatan akan mengganggu kelancaran transportasi orang dan barang. Sistem monitor dikembangkan untuk dapat mengetahui kondisi struktur jembatan agar dapat mengantisipasi kegagalan struktur. Dimana dari hasil monitor ini akan dihasilkan data ferekuensi alami, tekanan beban dan lendutan. Data akselerasi Sumbu x,y,dan z akan diolah dengan algoritma Fast Fourier Transform (FFT), kemudian data ferekuensi yang telah diolah akan menghasilkan ferekuensi alami jembatan. Dari hasil penelitian menunjukkan bahwa monitoring getaran jembatan dapat ditampilkan dengan  data akselerasi sumbu X, Y dan Z maupun FFT. Dengan beban 6 KG didapat akselerasi Sumbu x = 1.29, Y = 0.73 dan  Z = 13.39, Ferkunesi Dasar X = 1.82, Y = 1.03  dan Z = 18.93. Untuk parameter lendutan dengan akurasi 99.66%, dengan beban 6Kg didapat Rata-rata error sebesar 11 mm (millimeter) dengan rata-rata persentase error sebesar 0.0396%. untuk parameter Teakann berat dengan akurasi 99,534% , dengan beban 6 Kg didapat Rata-rata persentasi error sebesar 0.1821 Kg dengan persentase error tertinggi  sebesar 0.4566%.  Kesimpulan yang didapatkan dari hasil penilitian bahwa setiap sensor untuk mengitung parameter kesehatan pada purwarupa Jembatan dengan bentang 65cm dari aspek getaran tergolong pada nilai kondisi baik dengan nilai getaran 1,82 Hz. Ditinjau dari aspek lendutandengan beban muatan 6KG, jembatan tidak baik, karena memiliki rata-rata lendutan adalah 10 mm atau 1 cm, dengan batas maksimal 0,65 cm.
PEMANFAATAN TEKNOLOGI INTERNET OF THINGS PADA ALARM SEPEDA MOTOR MENGGUNAKAN NodeMcu LoLiN V3 DAN MEDIA TELEGRAM
Authors: Hermawan Rizky , Abdurrohman Abdurrohman
Published: January 2021

Internet of Things (IoT) merupakan sebuah konsep untuk mengakses sebuah alat melalui jaringan internet. IoT menjadi sebuah konsep yang membuat praktis yang saat ini banyak dikembangkan dalam berbagai bidang. Dalam pengembangan IoT kami membuat alarm sepeda motor dengan menggunakan konsep IoT dengan tujuan untuk mencegah terjadinya pencurian dan perampasan kendaraan sepeda motor. Penelitian ini menggunakan model prototipe dimana terdapat empat langkah dalam menggunakan model ini, diantaranya tahap pengumpulan data, tahap desain cepat, membangun prototipe, dan tahap uji coba serta evaluasi. Komponen-komponen yang digunakan pada penelitian ini menggunakan NodeMcu LoLin V3 sebagai pengolah data yang masuk dan keluar dan menggunakan media Telegram bot sebagai sarana komukasi antar perangkat, dan komponen lain yang digunakan adalah sensor getar untuk mendeteksi getaran apabila sistem alarm dalam keadaan hidup, sensor tegangan untuk mengatur tegangan yang masuk, relay sebagai saklar otomatis untuk menghidupkan motor dan buzzer. Semua komponen di rangkai sedemikian rupa sehingga menghasilkan sebuah prototipe alarm kendaraan sepeda motor yang dapat diberi intruksi oleh aplikasi Telegram. Dari tahap pengujian seluruh komponen mendapatkan hasil kinerja yang baik dan dapat berkomunikasi dengan telegram bot yang sudah dibuat. NodeMcu LoLiN V3 dapat terhubung dengan koneksi internet yang dibagikan melalui tethering and portable hotspot dari sebuah ponsel dan dapat memberikan respon dengan mengirimkan pesan melalui telegram, sensor tegangan dapat mengatur arus listrik yang masuk apabila arus lebih dari 1.5V maka respon yang dikirim ke telegram adalah terjadi tindakan terhadap kendaraan sepeda motor, sensor getar dapat berfungsi apabila terjadi getaran, serta komponen yang lain dapat berfungsi dengan baik.
Hubungan Golongan Darah ABO dengan Kadar Kolesterol Total Darah
Authors: Widyaastuti Eny Erlinda , Kartika Kartika
Published: January 2021

Latar belakang: kolesterol darah total diketahui memiliki kaitan erat dengan munculnya berbagai penyakit degeneratif seperti penyakit jantung koroner, hiperkolesterolemia, stroke, dan sebagainya. Berbagai upaya pencegahan yang dilakukan termasuk mengontrol faktor yang berhubungan dengan kolesterol misalnya jenis kebiasaan konsumsi makanan, olah raga, dan kontrol terhadap penyakit seperti diabetes melitus. Namun demikian, beberapa studi yang mencari hubungan genom golongan darah terhadap kadar kolesterol darah total.

Tujuan: penelitian ini adalah mengetahui hubungan antara golongan darah ABO dan kadar kolesterol total darah di Desa Sekar Biru Kecamatan Parit Tiga tahun 2018.

Metode: penelitian ini menggunakan desain cross sectional dengan melibatkan 136 orang responden. Pemilihan responden penelitian dengan teknik consequtive sampling.

Hasil: penelitian menunjukkan tidak ada perbedaan signifikan kadar kolesterol darah antara golongan darah A dan B (P=0,523), A dan AB (P=0,057), A dan O (P=0,087), O dan AB (P=0,849), O dan B (P=0,167), B dan AB (0,099). Selain itu juga didapatkan tidak ada hubungan kadar kolesterol darah total golongan darah O, A, B, dan AB (P=0,121).

Kesimpulan: tidak dittemukan adanya hubungan antara golongan darah ABO dengan kadar kolesterol total darah di Desa Sekar Biru.
Determinan Pemberian Air Susu Ibu Eksklusif di Desa Tanjung Gunung, Bangka Tengah, Kepulauan Bangka Belitung
Authors: Yanti Eka Safitri
Published: January 2021

Latar belakang: Cakupan pemberian Air Susu Ibu (ASI) eksklusif di Indonesia masih tergolong rendah termasuk di wilayah Bangka Tengah, Kepulauan Bangka Belitung. Banyak yang dapat menyebabkan kondisi tersebut, diantaranya adalah pendidikan dan pengetahuan, paritas, ibu yang bekerja, Inisiasi Menyusu DIni (IMD), dukungan pasangan dan keluarga
Tujuan: Mengetahui determinan pemberian ASI eksklusif di Desa Tanjung Gunung, Bangka Tengah, Kepulauan Bangka Belitung
Metode: Penelitian ini menggunakan desain cross sectional yang dilakukan di Desa Tanjung Gunung Kabupaten Bangka Tengah Provinsi Kepulauan Bangka Belitung. Dilakukan kepada 48 ibu yang memiliki bayi usia 6 bulan hingga 1 tahun, lahir cukup bulan dan tidak ada kelainan kongenital dengan riwayat persalinan per vaginam
Hasil: Tidak ada pengaruh yang bermakna dari segi usia (p>0,445), jumlah anak (p=0,850), pendidikan ibu (p=0,475), ibu bekerja di luar rumah (p=0,868), paritas (p=1,00), pengetahuan (p=0,591), dan dukungan keluarga (p=0,145) terhadap pemberian ASI eksklusif. IMD (p=0,041) dan dukungan pasangan (p=0,021) menjadi determinan yang memengaruhi pemberian ASI eksklusif dimana IMD menjadi variabel yang paling kuat pengaruhnya (OR=6,985)
Kesimpulan: IMD dan dukungan pasangan terbukti memberi pengaruh terhadap keberhasilan ASI eksklusif, walaupun tenyata secara statistik dukungan anggota keluarga selain suami tidak memberikan dampak yang bermakna. Analisis lebih jauh membuktikan bahwa IMD menjadi variabel yang memberikan pengaruh paling kuat
Long non-coding RNAs in castration-resistant and neuroendocrine prostate cancer: Potential role and therapeutic impact
Authors: Prajapati Kumari S. , Singh Atul K. , Shuaib Mohd , Kushwaha Prem P. , Kumar Shashank , Gupta Sanjay
Published: January 2021

Prostate cancer is the most commonly diagnosed malignancy and leading cause of cancer-related deaths in men worldwide. The disease is heterogeneous in nature exhibiting various clinical subtypes and genetic/transcriptomic features. Long non-coding RNAs (lncRNAs) are transcripts of more than 200 nucleotides that does not encode any protein and play important role in several biological processes as well as pathologic states. Deregulation of lncRNAs has been associated with human diseases. In prostate cancer, numerous key lncRNAs have been identified as novel players that contribute to the pathophysiology of the disease primarily regulated by androgen and its cognate receptor. The present review attempts to summarize the potential role of lncRNA and their mechanisms of action in prostate cancer with particular focus on lncRNAs regulated by androgen receptor expressed in castration-resistant and neuroendocrine differentiated subtypes. We also emphasize the potential of these lncRNAs for their development as therapeutic targets in prostate cancer.
Multilocular cystic renal neoplasm of low malignant potential: Mimicker of cystic clear cell carcinoma – urologist’s perspective
Authors: Challa Harish , Sekar Hariharasudhan , Sundaram Sandhya , Krishnamoorthy Sriram , Kumaresan Natarajan
Published: January 2021

Introduction Multilocular cystic renal neoplasm of low malignant potential (MCRNLMP) is a rare subtype of clear cell renal cell carcinoma (ccRCC) accounting for 2-4% of RCC. It is defined as a neoplasm that is composed entirely of numerous cysts surrounded by fibrous capsule and septa containing clear cells without expansile growth or mural nodules (WHO 2016). The purpose of this manuscript is to highlight that it is imperative to identify this entity by strict histological criteria and distinguish this entity from cystic ccRCC due to its low malignant potential, excellent prognosis with no recurrence or metastasis. Case report A 46-year-old male presented with continuous mild loin pain for a month. There were no lower tract urinary symptoms. Ultrasound abdomen showed left lower pole renal mass. CECT-KUB was done as a definitive investigation which showed a solitary left lower pole renal cystic lesion with enhancement of size 3.8x3.6cm (Bosniak IV). As per CT findings, the patient underwent Laparoscopic partial nephrectomy. Histopathological examination showed multiple cysts with thin septal walls possessing clear cells with low-grade nuclei. 2 years of follow-up postoperatively with imaging studies revealed no recurrence or metastasis. Conclusions The purpose of this report is to emphasize the need to identify this entity by strict histological criteria as per WHO guidelines, as imaging studies were more often inconclusive. Urologists should have an adequate understanding such an entity. Almost all cases are amenable to partial nephrectomy irrespective of size and no documented evidence of recurrence and metastasis which mandates less stringent follow up postoperatively as compared to ccRCC.
Histopathological variant types diagnosed in prostate surgery
Authors: Aktaş Semih , Köseoğlu Hikmet , Yücetaş Uğur , Baykal Koca Sevim
Published: January 2021

Rare pathological variants may only be diagnosed after the surgical treatments applied. We aimed to determine the rare variant pathologies and their frequencies diagnosed in prostate surgeries performed in routine patient care. We retrospectively analyzed hospital pathology records for all prostate surgeries performed namely TUR-P, open prostatectomy, and radical prostatectomy between October 2014 and October 2019. A total of 1345 patients’ clinical data together with relevant prostate surgery pathologic diagnoses were evaluated from the database. Their mean age was 67.63±8.09. The most common comorbid diseases were hypertension (46%), diabetes mellitus (21%) and cerebrovascular disease (23%). Surgeries indicated and performed for prostate diseases were TUR-P (72%), open prostatectomy (9.7%) and radical prostatectomy (18.4%). The respective median PSA values for above mentioned surgery groups were 3.21, 7.34 and 8.13 ng/ml. Ninety-three patients (6.9%) had variant pathology associated with their primary pathologies including either BPH or prostate adenocarcinoma. 8.6% of patients with variant pathology had more than one variant types. Histopathological variant types generally considered rare can be seen up to 20% in oncological cases according to our database and their clinical importance and treatment differs for each variant type.
MENÜ ANALİZİ ÜZERİNE KAVRAMSAL BİR İNCELEME
Authors: KIZILCALIOĞLU Gaye
Published: January 2021

Hizmet sektöründeki yiyecek içecek işletmelerinin dinamik yapısı ile günümüz rekabet koşulları bir araya geldiğinde işletmelerin ayakta kalabilmeleri her geçen gün zor olmaktadır. Yiyecek içecek işletmeleri menülerini belirli periyodlarda değerlendirmektedirler. Güvendikleri ancak istenilen düzeyde satışı olmayan ürünleri öne çıkarak, ihtiyaç duyulduğunda ise menü kalemini menüden çıkararak menülerini güncelleyebilmektedirler. Menü analizi, yönetime bir geri bildirim imkanı sunması açısından değerlidir. Bu nedenle işletme yöneticileri ya da şefler işletmenin, varoluş amacına göre menü analizi yöntemlerinden hangisinin kendi işletmeleri için daha doğru olduğunu düşünüyorlarsa seçimi bu doğrultuda yapacaklardır. Bu bağlamda araştırma kapsamında menü analizine yönelik literatür taraması yapılmıştır. Menü analizi yöntemleri araştırma kapsamında matris modeller, formüllerden oluşan modeller ve çok boyutlu modeller başlıkları altında incelenmiştir.
POTATOES WITH ITS HISTORY, USAGE IN TURKISH-FRENCH CUISINE AND OUTSTANDING
Authors: ÖZER Çağla , BRUWİER Franck , OLGAY Pelin
Published: January 2021

France, known as the homeland of many chefs, where classical cuisine was born, the foundations of many techniques were laid and the source of gastronomy and food culture spread to the society in various ways, is shown among the deep-rooted cuisines in the world. This study aimed to briefly summarize the history and spread of potatoes across the continents, and the France, and the cooking techniques of potatoes in classical French cuisine is emphasized. As a prominent feature, it is stated that the starch ratio differs considerably in the structure of the potato and the resulting dishes. Fianna potatoes, known with high starch content and as floury, are used for the dishes that baked on a mash basis whereas Elodie potatoes, known with low starch content and as waxy were used for boiled and sautéed dishes. In this study classical dishes from French cuisine, which are pommes duchesse, pommes château, pommes fondant, pommes macaire, pommes boulangères, pommes pont-neuf, pommes allumettes, pommes paille, pommes soufflées and pommes gaufrettes are applied in practice and the results are deliberated.
Perceptions of the Osteopathic Profession in New York City's Korean Communities
Authors: Justin Chin, DO  , Haeinn Woo, OMS-IV  , Diane Choi, OMS-III  , Emily Dube, MS  , Mikhail Volokitin, MD, DO  , Christine Lomiguen, MD
Published: January 2021

Objective: The purpose of this study was to assess knowledge of and barriers to osteopathic medicine in Korean communities in New York City. Design: A cross-sectional study was designed in which a culturally appropriate survey in Korean and English versions was administered anonymously to measure community perceptions and knowledge of osteopathic medicine. Setting: Data collection occurred in the municipal delineations for the Bayside neighborhood within the New York, New York borough of Queens. Participants: Community members were selected using convenience sampling from high-density areas to participate. The survey included demographics, education level, health care habits and knowledge of the osteopathic profession. Results: 105 surveys were conducted with 47 males and 58 females, with an average age = 66. Only 14% (n=15) indicated knowledge about osteopathic manipulative medicine (OMM) and 9% (n=9) indicated knowledge of osteopathic physicians (DOs), with the primary language spoken at home (Korean) as the sole statistically significant factor in recognition of OMM and DOs among the study variables. Conclusion: Compared to research on the general U.S. population, a general lack of knowledge of osteopathic medicine exists within New York City's Korean community. Although this difference may be ascribed to linguistics and ethnosociological factors, greater outreach and education is needed in urban minority communities to make immigrants aware of all health care resources available during the current shortage of primary care physicians in the U.S.
Lateral Epicondylitis: A Common Cause of Elbow Pain in Primary Care
Authors: Jeffrey Fleming, DO  , Christian Muller, DO  , Kathryn Lambert, DO
Published: January 2021

Lateral epicondylitis (LE) is an overuse injury of the lateral elbow. LE is caused by repetitive motion leading to micro-injury of the wrist extensor muscles that originate along the elbow's lateral aspect. Although LE is commonly referred to as “tennis elbow” many cases are observed in non-athletes. Due to its prevalence in the general population, primary care physicians must be prepared to diagnose and treat LE. Physicians should look for a history of repetitive activities involving patient’s jobs or recreational activities. Exam findings are characterized by pain and tenderness just distal to the lateral epicondyle of the humerus. Resisted movement with an extension of the wrist will typically elicit pain. Ultrasonography is considered the imaging modality of choice for diagnosing LE. Standard radiographs and magnetic resonance imaging (MRI) may be helpful. However, diagnosis can usually be made by history and physical examination alone. Most cases of LE respond favorably to conservative therapy. There are several nonoperative options for treatment, but a combination of non-steroidal anti-inflammatory drugs (NSAIDs) and physical therapy that utilizes eccentric muscle stretching is considered first-line. Osteopathic manipulative medicine is also useful in the treatment of LE. Muscle energy (ME) and joint mobilization techniques have been shown to be particularly effective. If non-surgical therapy fails, surgical intervention may provide patients with an additional benefit. This article will review some of the treatment options described above and discuss other diagnostic and therapeutic considerations relevant to LE's management in the primary care setting.
Reconstructions of the past distribution of Testudo graeca mitochondrial lineages in the Middle East and Transcaucasia support multiple refugia since the Last Glacial Maximum
Authors: Turkozan Oguz
Published: January 2021

A cycle of glacial and interglacial periods in the Quaternary caused species’ ranges to expand and contract in response to climatic and environmental changes. During interglacial periods, many species expanded their distribution ranges from refugia into higher elevations and latitudes. In the present work, we projected the responses of the five lineages of Testudo
graeca in the Middle East and Transcaucasia as the climate shifted from the Last Glacial Maximum (LGM, Mid – Holocene), to the present. Under the past LGM and Mid-Holocene bioclimatic conditions, models predicted relatively more suitable habitats for some of the lineages. The most significant bioclimatic variables in predicting the present and past potential distribution of clades are the precipitation of the warmest quarter for T. g. armeniaca (95.8 %), precipitation seasonality for T. g. buxtoni (85.0 %), minimum temperature of the coldest month for T. g. ibera (75.4 %), precipitation of the coldest quarter for T. g. terrestris (34.1 %), and the mean temperature of the driest quarter for T. g. zarudyni (88.8 %). Since the LGM, we hypothesise that the ranges of lineages have either expanded (T. g. ibera), contracted (T. g. zarudnyi) or remained stable (T. g. terrestris), and for other two taxa (T. g. armeniaca and T. g. buxtoni) the pattern remains unclear. Our analysis predicts multiple refugia for Testudo during the LGM and supports previous hypotheses about high lineage richness in Anatolia
resulting from secondary contact.
The effects of two calcium supplementation regimens on growth and health traits of juvenile mountain chicken frogs (Leptodactylus fallax)
Authors: Michaels Christopher
Published: January 2021

The mountain chicken frog (Leptodactylus fallax) is among the 42 % of amphibians threatened with extinction and is dependent upon ex situ populations to recover in the wild. Amphibian captive husbandry is not fully understood and empirical data are required to optimise protocols for each species in captivity. Calcium metabolism and homeostasis are areas of importance in captive husbandry research and have been identified as a challenge in maintaining ex situ populations of L. fallax. We trialled two frequencies (twice and seven times weekly) of calcium supplementation via dusting of feeder insects in two groups of L. fallax juveniles and measured growth and health effects through morphometrics, radiography, ultrasonography and blood and faecal analysis over 167 days, followed by a further 230 days of monitoring on an intermediate diet informed by the initial dataset. We showed that supplementation treatment did not affect growth or health status as measured through blood analysis, radiography and ultrasonography. More frequent supplementation resulted in significantly more radiopaque endolymphatic sacs and broader skulls. Frogs fed more calcium excreted twice as much calcium in their faeces.
The intermediate diet resulted in previously lower supplementation frogs approximating the higher supplementation frogs in morphometrics and calcium stores. Comparison with radiographic data from wild frogs showed that both treatments may still have had narrower skulls than wild animals, but mismatching age class may limit this comparison. Our data may be used to inform dietary supplementation of captive L. fallax as well as other amphibians.
Habitat use and age structure of the Fer-de-Lance (Bothrops asper, Viperidae) in Braulio Carrillo National Park, Costa Rica
Authors: Ramirez-Arce Daniel
Published: January 2021

The Fer-de-lance or terciopelo (Bothrops asper) inhabits a wide range of environmental conditions and habitats across Central America. While much information on the species is based on anecdotal observations and useum specimens, data collected under natural conditions are more limited. To better document its natural history, this study sought to determine the habitat use and age structure of B. asper in the Quebrada Gonzalez sector of Braulio Carrillo National Park, Costa Rica. Snake surveys were conducted from January 2015 to August 2017 and used to evaluate the population age-class distribution and sex ratio. To evaluate macrohabitat use, surveys were conducted in four habitat types (mature forest, late succession, early succession, and human infrastructure). Microhabitat use was determined by recording several structural variables at each snake location and at random sites. Amphibians were sampled in each habitat type to evaluate the available prey base. Fifty-five individuals were captured, mostly females and juveniles, with five recaptures. Snakes were encountered in all habitat types but most often in early succession forests, which have dense vegetation cover and high prey availability. Snakes selected areas with heavy understory cover when resting, and more exposed sites, often closer to bodies of water, when ambushing prey or moving. Human-disturbed sites were used least. Although snake encounters did tend to correlate with higher amphibian abundance, other factors such as mammalian prey abundance could also influence snake distribution.