bluuebunny/crossref_metadata_2025 huggingface dataset:
A Noninvasive Model to Detect Malaria Based on Symptoms Using Machine Learning
Authors: Ruban S  , Naresh A  , Rai Sanjeev
Published: November 2021

The impact of Artificial Intelligence in the domain of Healthcare has been growing, day by day. These applications bring a drastic change in the healthcare system and affects our lives based in the change it brings to the Patientcare system, transforming the traditional way of handling sicknesses and diseases. Machine Learning algorithms that use data, have a big role in the AI based applications that are used in the Healthcare. Hence the Data source and the nature of Data holds an important role in developing effective AI based solutions for many health issues in the society. Data is available in all the hospitals and medical care facilities for many years now. However, without transforming them into a format where Machine Learning algorithms work, it is impossible to use them to develop an AI based application. In this research paper, we briefly discuss the process of developing an AI based application to predict Malaria, which is one of the most common vector borne diseases in the coastal districts of Karnataka. This pioneer work was done over the data collected from the clinical notes of a 1500 bed hospital situated in Mangalore. Few machine learning algorithms like Logistic regression, Support vector machine XGB Booster classifier, CAT Booster Classifier and Random forest classifier were used over the dataset. Our experimental study revealed that, Random Forest classifier works efficiently for this data set, compared with the other algorithms that we used. It gave the best accuracy of 90.92.
A Novel Dual Encryption Algorithm to Enhance the Security in Image Transmission Using LSB 3-2-2 Technique
Authors: Anitha R  , Ashok Kumar P M  , Ravi Kumar T
Published: November 2021

Nowaday’s providing the security for image is essential for correspondence. Steganography and cryptography are a technical method for the transfer of information to eliminate burglary and stealing of information. Cryptography steganography hides the occurrence of a mystery message. We need more Secured and confidential images to transfer. Steganography procedure on RGB genuine nature utilizing LSB 3-3-2 technique. On the RED & GREEN line, on the LSB Three-Three-two is a procedure, while on the blue channel, it is just 2 LSB. Messages are not exactly RED and GREEN on BLUE platforms. Double encryption techniques are used, such as Caesar cipher & Vigenere cipher, to preserve the nature of the stegno photos and to increase message safety. Use of steganographic strategies are insufficient to give security to informing it is imperative to join the strategy of cryptography. A combination of Caesar Encryption and Vigenere applies to message until they are inserted in LSB Three-Three-Two methods to provide extra protection. At this point we are providing the Caesar code and Vigenere image estimating to enhance security. The target of this is to upgrade the secrecy & security of the image steganography. It will be more efficient because using the two fold layer of security.
Network Lifetime Analysis in IOT Environment in Healthcare Sectors Using Deep Learning Routing Approach
Authors: Janaki K
Published: November 2021

The Internet of Things (IoT) provides an improved flexibility in data collection, network deployment and data transmission to the sink nodes. However, depending on the application, the IoT network tends to consume lot of power from the individual devices. Various conventional solutions are provided to reduce the consumption of energy but most methods focus on increasing the data acquisition speed, data transmission and routing capabilities. However, these methods tend to fall under the trade-off between these three factors. Hence, in order to maintain the trade-off between these constraints, a viable solution is developed in this paper. A deep learning-based routing is built considering the faster acquisition of data, faster data transmission and routing path estimation with increasing path estimation. The paper models a Deep belief Network (DBN) to route the data considering all these constraints. The experimental validation is conducted to check the network lifetime, energy consumption of IoT nodes. The results show that the DBN offers greater source of flexibility with increased data routing capabilities than other methods.
An Comprehensive Survey on Applications of Precision Agriculture in the Context of Weed Classification, Leave Disease Detection, Yield Prediction and UAV Image Analysis
Authors: Preethi C  , Brintha NC  , Yogesh CK
Published: November 2021

Advancement in technologies such as Machine vision, Machine Learning, Deep Learning algorithms enables them to extend its horizon in different applications including precision agriculture. The objective of this work is to study the various works pertaining to precision agriculture under four categories, weed classification, disease detection in leaves, yield prediction and image analysis techniques in UAV. In case of the weed classification, both classifying weeds from the crops and classifying the different types of weeds are analysed. In disease detection, only the diseases that occur in the leaves of different plants are considered and studied. It is continued with the state of art models that predicts yields of different crops. The last part of the work concentrates on analysing the images captured UAV in the context of precision agriculture. This work would pave a way for getting a deep insight about the state of art models related to the above specified applications of precision agriculture and the methods of analysing the UAV images.
Heart Disease Prediction Using Convolutional Neural Network
Authors: Bhanumathi M  , Gautham Kumar RS  , Karthika Hema Manasa M  , Aravindh R
Published: November 2021

The group of diseases related to heart and blood vessels are commonly known as Cardio vascular diseases. Considering today’s lifestyle, they are the major cause of deaths globally. So early identification of the diseases can give us a fair chance of effective treatment and proper precautions for a healthy life. The proposed novel model is created using convolutional neural networks in combination with random forest algorithm and there will be 12 factors that help to predict the heart disease and chest X-rays will also be used as one of the parameters.
An efficient hexagonal image framework using pseudo hexagonal pixel for computer vision applications
Authors: Varghese Prathibha , Arockia Selva Saroja G.
Published: November 2021

Nature-inspired computing has been a real source of motivation for the development of many meta-heuristic algorithms. The biological optic system can be patterned as a cascade of sub-filters from the photoreceptors over the ganglion cells in the fovea to some simple cells in the visual cortex. This spark has inspired many researchers to examine the biological retina in order to learn more about information processing capabilities. The photoreceptor cones and rods in the human fovea resemble hexagon more than a rectangular structure. However, the hexagonal meshes provide higher packing density, consistent neighborhood connectivity, and better angular correction compared to the rectilinear square mesh. In this paper, a novel 2-D interpolation hexagonal lattice conversion algorithm has been proposed to develop an efficient hexagonal mesh framework for computer vision applications. The proposed algorithm comprises effective pseudo-hexagonal structures which guarantee to keep align with our human visual system. It provides the hexagonal simulated images to visually verify without using any hexagonal capture or display device. The simulation results manifest that the proposed algorithm achieves a higher Peak Signal-to-Noise Ratio of 98.45 and offers a high-resolution image with a lesser mean square error of 0.59.
Evaluation of the hyperbaric oxygen therapy on the flash visual evoked potential P2 in patients with severe traumatic brain injury
Authors: Duan Lei , Wang Changbao , Wang Xia , Wang Aiping , Xu Tingting , Peng Xiangrong , Gao Zhiqiang
Published: November 2021

BACKGROUND: Studies have shown that hyperbaric oxygen therapy (HBOT) can improve the extraction rate and latency of cortical evoked potential N20 in patients with severe traumatic brain injury, but there are only a few studies on the effect of flash visual evoked potential. OBJECTIVE: This study investigated the effect of hyperbaric oxygen therapy on the P2 wave of flash visual evoked potentials in patients with severe traumatic brain injury. METHODS: In total, we examined 40 TBI patients who received HBOT, in combination with medication, and 38 TBI patients who received medication alone. The FVEPs apparatus was used to detect the P2 wave extraction rate and the latency of the elicited waveform before and after treatment in both the medicated-only controls and HBOT-treated cohorts. RESULTS: Compared with the control group, the HBOT treatment group showed a higher P2 wave elicitation rate, and the P2 wave latency of the HBOT treatment group was significantly shortened (p < 0.05, all). CONCLUSIONS: HBOT, in combination with drug therapy, can significantly increase the P2 wave extraction rate and shorten P2 latency in patients with TBI.
Assessment of the level of productivity and adaptive potential of linseed varieties in Belarus
Authors: Maslinskaya Margarita
Published: November 2021

Abstract. The yield potential of seeds of linseed varieties in the Republic of Belarus reaches 30 centners per hectare, in recent years, ten new domestic varieties of crops have been created, and the soil and climatic conditions of the country make it possible to cultivate it. However, when testing varieties in the State Institution “State Inspectorate for Testing and Protection of Plant Varieties”, the values of the seed productivity indicator vary greatly both by test sites and by varieties. In this regard, the aim of the research is to assess the level of productivity and adaptive potential of oil flax varieties by statistical parameters calculated on the basis of “seed productivity”. Methods. Statistical processing of data obtained during four years of testing (2018–2020) was carried out at seven variety plots. As the object of the research, the flax varieties Salyut, Al’yans and Vizir’ of the selection of RUE “Institute of Flax” were taken. An assessment of the studied varieties is given in terms of such parameters as plasticity and stability, indicators of variety stability, yield range, standard deviation, coefficient of variation, homeostaticity and breeding value. Results. The highest seed productivity (13.5–17.2 c/ha) and the smallest variability of the “coefficient of variation” (7.4–18.3 %) were observed in the varieties Salyut and Vizir’. It was found that the variability of the productivity of the studied varieties is caused by the influence of environmental conditions, and not by their genetic characteristics. The stability of obtaining high yields in optimal conditions is evidenced by the obtained values of the adaptability coefficient (0.91–1.06). Thus, with a combination of various statistical indicators and models, an objective and complete characteristic of the studied varieties is given. The data obtained testifies to the prospects of cultivating the varieties of linseed Al’yans, Vizir’, Salyut in agricultural organizations of the republic and the possibility of obtaining high and stable yields of this crop. The scientific novelty of the research lies in the fact that for the first time the characteristics of linseed varieties Alliance, Vizir, Salyut of Belarusian selection in terms of productivity and adaptive potential are given on the basis of a combination of various statistical indicators and models. The data obtained allowed us to make a conclusion about the prospects of cultivating these varieties in the conditions of Belarus.
A Strategi Segmenting, Targeting dan Positioning Sawi Pakcoy Organik Brenjonk
Authors: Milanda Nisful Laili  , Wahyu Santoso  , Sri Widayanti
Published: November 2021

Target of this research is to know segmenting, targeting and positioning of Brenjonk organic pakcoy mustard. The sampling technique used in this study was purposive sampling with 50 respondents as consumers. Data analysis for segmenting and targeting used cluster analysis and crosstab, while positioning data analysis used correspondence analysis. Methods of data collection carried out by observation, interviews and questionnaires.The results of this study indicate that there are 3 segments with a percentage of segment 1 (44), segment 2 (20%) and segment 3 (36%). Based on market attractiveness, the main target market for Brenjonk organic pakcoy mustard is segment 1 (44%). Product positioning based on correspondence analysis of Brenjonk organic pakcoy mustard has advantages in the attributes of price, freshness, texture and taste.
Penentuan Status Pemanfaatan Ikan Teri (Stolephorus sp) di Perairan Selat Lalang Kecamatan Sungai Apit Kabupaten Siak Provinsi Riau
Authors: Izur Zuriati Murni , Zulkarnaini Zulkarnaini , Arief Hazmi
Published: November 2021

The anchovies (stolephorus sp) need to be well managed, for although they are open access resources if not properly managed, fisheries resources are poorly maintained and sustainable. One approach to managing fish resources is with a production surplus model. As for the data method used is a secondary data analysis method, which USES a production surplus model. Analysis was done to acquire the best production model that could provide information on the extent of use and the completion of anchovies. Data from catch and catch fish were obtained from the registry service of siak district fisheries and livestock. Analysis suggests that the best surplus production model, which is used to assess the potential for anchovies, is the walter-hilborn model. The level of utilization for 2020 is 70 percent, with a 41% reduction rate. It shows that, anchovies in the lalang strait in the state of moderately expoited.
Model Jaringan Komunikasi Dalam Mengolah Lahan Tanpa Bakar Oleh Masyarakat di Kota Dumai
Authors: Rahman Jeki , Rosnita
Published: November 2021

This research aims to (1) knowing the method of  processing land zero burning that people in the city of Dumai., (2) to know the structure a network of communication between individuals in processing land zero burning. The method of sampling used in this study is an application of the snowball sampling technique. The results showed that people in the city of Dumai stopped processing by burning but turned to the method of processing land zero burning,as the government imposed a ban on burning in the cultivation of land.The structure of communication networks in processing land zero burning that of forming wheel structures that dissolve in one indvidual within the communication network, in Bangsal Aceh village centered on Muhammad Rizal actor,while in Tanjung Palas village centered on yustanto and warino actors,it is better if the network communication that formed is the structure of all channels so that each individual in the network can interact reciprocally without adhering to the theory of who is the central figure in obtaining information.
Evaluation of Ecosystem Service Changes due to Land Use and Land Cover Dynamics in Cham Chu Nature Reserve
Authors:   VNU-Central Institute for Natural Resources and Environmental Studies (VNU-CRES), Vietnam National University, Hanoi, Vietnam, Son Vo Thanh , Anh Luu The ,   VNU-Central Institute for Natural Resources and Environmental Studies (VNU-CRES), Vietnam National University, Hanoi, Vietnam, Truong Dao Minh ,   VNU-Central Institute for Natural Resources and Environmental Studies (VNU-CRES), Vietnam National University, Hanoi, Vietnam, Ly Trong Dai ,   VNU-Central Institute for Natural Resources and Environmental Studies (VNU-CRES), Vietnam National University, Hanoi, Vietnam, Sun Jing ,   Tongling University, Tongling, Anhui, China
Published: November 2021

Assessment of ecosystem services is vital for successful natural resource allocation; however, these have been less studied within Vietnam. This study estimated the ecosystem services value (ESV) and its change in Cham Chu nature reserve, Vietnam using a benefit transfer method. Ecosystem service values estimation and trend analyses were carried out based on land use and land cover datasets from 1986, 1998, 2007, and 2017, with their corresponding global value coefficients. The results revealed that the total value of ecosystem services in Cham Chu was approximately 64.4, 63.9, 60.7, and 63.4 million USD in 1986, 1998, 2007, and 2017, respectively. Changes have also occurred in the values of individual ecosystem service functions. From 1986 to 2017, ecosystem service functions showed significant decreases in gas regulation, pollination, biological control, water regulation, water supply, and food production of 62.9%, 51.2%, 44.4%, 24.7%, 23.1%, and 13.0%, respectively. We conclude that the loss of ESV is a result of ecological deterioration in the studied landscape, and we propose further research to examine future solutions and establish action strategies. In summary, the research approach methodology developed can be used by land managers and planners in Vietnam as a guideline to estimate the importance of ecosystem services in Vietnam.
Вибір постачальників для виробництва високотехнологічної продукції з урахуванням довгих логістичних ланцюгів постачання вантажів
Authors: Федорович Олег Євгенович , Прончаков Юрій Леонідович , Рибка Ксенія Олегівна , Лещенко Юлія Олександрівна
Published: November 2021

The scientific and applied problem of choosing suppliers of components, materials, and raw materials (CMRM) for the production of high-tech products (aircraft construction, shipbuilding, etc.) with a complex multi-level component architecture of the product is posed and solved. Much attention is paid to the study of long logistic supply chains for CMRM, considering the heterogeneous transport network (aviation transport, rail transport, road transport, etc.) with the transition of goods from one highway to another. The relevance of the topic of the publication is related to the study of the influence of the remoteness of suppliers and the heterogeneity of the transport network on the timing, costs, and risks of delivering CMRM to the production of high-tech products, considering the long supply chains that ensure the interaction between the supplier and the manufacturer. The research solves the problem of a rational choice of suppliers, considering the logistics of CMRM delivery in a heterogeneous transport environment. Due to the complexity of the problem being solved, it is complex and includes the following research stages: selection of suppliers, considering the component architecture of a complex product; formation of a logistics chain for the delivery of CMRM; a study of the effect of cargo transshipment in a heterogeneous transport environment. The solution of the second problem is associated with the choice of optimal logistics chains for the delivery of CMRM from the supplier to the manufacturers. The solution to the third problem is based on modeling the movement of goods, considering transshipment and possible risks. Mathematical methods used system analysis to represent the component architecture of a complex product; integer (boolean) programming to optimize the main logistic indicators; agent-based simulation modeling for the study of logistics chains for the delivery of goods with transshipment and possible risks (climatic, pandemic, terrorist, etc.).
Development of Novel Subclasses for Bi-Univalent Functions
Authors: ROSSDY MUNIRAH , OMAR RASHIDAH , SOH SHAHARUDDIN CIK
Published: November 2021

This manuscript presents the development of new subclasses for bi-univalent functions and the subclasses are closely related to Chebyshev polynomials having Al-Oboudi differential operator. The functions contained in the subclasses were used to account for the initial coefficient estimates of |a2| and |a3| .
ANALISIS KINERJA KEUANGAN DALAM KEPUTUSAN STOCK SPLIT
Authors: Maulani Denia
Published: November 2021

Kegiatan di pasar modal, salah satunya yaitu keputusan stock split memiliki peran dalam perdagangan saham di Bursa Efek Indonesia (BEI) dan mekanisme penjualan surat berharga yang diperdagangkan dan diterbitkan oleh masing-masing perusahaan. Tujuan dari kajian ini yaitu untuk mengetahui kinerja keuangan sebelum dan setelah stock split. Fundamental kinerja keuangan perusahaan menggunakan beberapa rasio keuangan yang digunakan yaitu current ratio, rasio leverage (leverage ratio) dan ROA (return on asset). Perusahaan yang dipilih sebagai sampel adalah perusahaan yang tergabung dalam LQ45 di BEI tahun 2006 sampai dengan semester pertama tahun 2012 yang melakukan kebijakan stock split Pengujian pertama menggunakan uji Klomogrov-Smirnov untuk menguji normalitas data. Hasil pengujian ini menunjukkan nilai data penelitian berdistribusi normal. Selain itu, dalam penelitian ini menggunakan uji beda sampel berpasangan untuk pengujian hipotesis pada alpha 5%.
ANALISIS FAKTOR-FAKTOR DETERMINAN KOMPETENSI DAN INDEPENDENSI AUDITOR TERHADAP KUALITAS AUDIT
Authors: Azis Azolla Degita , Sundarta Muhammad Imam , Imvie Amanda Amalia
Published: November 2021

Penelitian ini bertujuan untuk menguji apakah kompetensi dan independensi auditor dapat mempengaruhi kualitas audit pada Kantor Akuntan Publik di Jakarta. Penelitian ini merupakan penelitian kuantitatif dengan menggunakan metode PLS (Partial Least Square). Data yang digunakan berupa data primer yang berasal dari kuesioner. Teknik pengambilan sampel menggunakan random sampling. Hasil penelitian menunjukkan bahwa auditor perlu meningkatkan pengetahuan dan independensinya untuk meningkatkan kualitas audit. Hasil penelitian ini dapat menjadi literatur tambahan di bidang akuntansi dan audit keuangan, serta bagi para praktisi di Indonesia bahwa kompetensi dan independensi auditor dapat meningkatkan kualitas audit, sehingga dapat menimbulkan persepsi kualitas audit dari investor. Salah satu implikasi dari penelitian ini adalah bahwa hubungan auditor-klien (auditor tenure) dapat meningkatkan kualitas audit. Untuk penelitian selanjutnya disarankan untuk melakukan penelitian dengan sampel penelitian yang lebih banyak dan objek penelitian yang berbeda sehingga diharapkan menghasilkan kesimpulan penelitian yang bervariasi yang dapat dijadikan pertimbangan bagi para regulator.Kata Kunci: Independensi Auditor; Kompetensi Auditor; Kualitas Audit
Determinan Keputusan Stock Split Pada Perusahaan Go Public
Authors: Riani Desmy , Rumiasih N.A , Nurokhmah Setianingrum , Imam Sundarta Muhammad
Published: November 2021

Tujuan penelitian ini adalah untuk menganalisis pengaruh Price Book Value (PBV), Price Earning Ratio (PER), Likuiditas (TVA), Earning Per Share (EPS) dan Return On Asset (ROA) terhadap keputusan stock split pada perusahaan yang terdaftar di Bursa Efek Indonesia selama periode 2017-2019. Data yang digunakan adalah data sekunder yang dari laporan keuangan yang dipublish idx.co.id dengan metode purposive sampling sehingga didapatkan sebanyak 192 sampel. Pengujian hipotesis dilakukan dengan metode analisis regresi logistik berganda menggunakan progam SPSS versi 22. Hasil dari pengujian ini menunjukkan jika Price Book Value (PBV), Price Earning Ratio (PER) dan Return On Asset (ROA) tidak berpengaruh terhadap keputusan stock split. Sedangkan untuk Likuiditas (TVA) dan Earning Per Share (EPS) berpengaruh terhadap keputusan stock split.Kata kunci: Earning Per Share (EPS); Liquidity (TVA); Price Book Value (PBV); Price Earning Ratio (PER); Return On Asset (ROA); Stock Split.
Pengaruh Tingkat Kesehatan Bank Melalui Metode RGEC Terhadap Nilai Perusahaan (Studi Kasus Pada Perusahaan Perbankan Yang Terdaftar di Bursa Efek Indonesia Periode 2016-2020)
Authors: Aprilia Wina , Hapsari Nesti
Published: November 2021

Penelitian ini bertujuan untuk mengetahui tingkat kesehatan bank melalui metode RGEC terhadap nilai perusahaan perbankan yang listed di BEI tahun 2016-2020. Nilai Perusahaan diukur oleh price to book value, sedangkan untuk tingkat kesehatan bank diukur oleh Risk Profile (non performing loan), Good Corporate Governance (komposisi komisaris independen), Earnings (return on aset) dan Capital (capital adequacy ratio). Penelitian ini mempergunakan metode deskriptif dan verifikatif dengan pendekatan kuantitatif. Pengambilan sampel yang dipergunakan ialah metode purposive sampling dengan sampel yaitu 12 perusahaan dari 43 populasi perusahaan perbankan yang listed di BEI tahun 2016-2020. Dengan hasil yaitu secara parsial Non Performing Loan (NPL) tidak berpengaruh kepada nilai perusahaan, Good Corporate Governance (komposisi komisaris independen) tidak berpengaruh kepada nilai perusahaan, sedangkan Return on Asset (ROA) berpengaruh kepada nilai perusahaan, begitu pula dengan Capital Adequacy Ratio (CAR) berpengaruh kepada nilai perusahaan. Sedangkan secara simultan variable NPL, GCG, ROA dan CAR berdampak kepada nilai perusahaan.Kata kunci : Non Performing Loan (NPL); Good Corporate Governance (GCG); Return on Asset (ROA); Capital Adequacy Ratio (CAR); Nilai Perusahaan
Analisis Laporan Keuangan Dalam Mengukur Kinerja Keuangan PT Pembangunan Perumahan Tbk Periode 2015-2019
Authors: Rizqi Muhammad Nur , Yudiana Yudiana , Damayanti Tiara , Hurriyaturrohman Hurriyaturrohman
Published: November 2021

Penelitian ini bertujuan untuk mengetahui analisis laporan keuangan dalam mengukur kinerja keuangan perusahaan pada salah satu perusahaan konstruksi milik BUMN yaitu PT PP (Persero) Tbk. Jenis penelitian ini menggunakan pendekatan kuantitatif. Pengambilan sampel menggunakan teknik purpose sampling terhadap 1 perusahaan dengan 5 periode laporan keuangan tahunan. Metode pengumpulan data dilakukan dengan menggunakan metode analisis vertical dengan teknik rasio serta perbandingan terhadap rata-rata rasio industry serupa. Hasil penelitian menunjukan bahwa kinerja keuangan PT PP (Persero) Tbk periode 2015-2019 menunjukan hasil yang tinggi yaitu: dengan nilai 45% unutk rasio yang berada diatas rata-rata rasio industri, nilai 8% untuk rasio yang berada sesuai dengan rata-rata industri dan nilai 35% untuk rasio yang berada dibawah rata-rata rasio industri. Dengan hasil penelitian tersebut setelah dihitung dan dijumlah total 11 analisis rasio PT PP (Persero) Tbk periode 2015-2019 berada pada angka 8 yang berarti kinerja keuangan perusahaan tersebut berada pada tingkat sangat memuaskan.Kata kunci : Analisis Laporan Keuangan, Kinerja Keuangan.
Neighborhood Change and Gentrification Near Three Urban Trails
Authors: Lindsey Greg , Qi Yunlei , Bhattacharya Torsha , Loh Tracy
Published: November 2021

This paper describes changes in indicators of gentrification in neighborhoods adjacent to recently opened multiuse trails in three US cities. We hypothesize changes are greater in abutting Census Block Groups (CBGs) than in CBGs further from the trails and use a case-control, pre-post design to report changes in gentrification status and related indicators three years after opening. We provide evidence of gentrification near each trail, but in two cases the majority of gentrifiable CBGs in treatment groups remained gentrifiable after three years. Rates and degree of gentrification associated with new trails differ depending on context.
Economic Developpement Objectives Between Islamic and Conventional Economic Theories
Authors: Guerbouj Khouloud , Naffati Borhen
Published: November 2021

تشترك النظريات الاقتصادية الإسلامية والوضعية في اعتبار أن تحقيق التنمية الاقتصادية من أهم مميزات الاقتصاد الناجح والمزدهر لأنها تؤثر في الإنتاج والاستهلاك والتوزيع والتبادل والملكية والأسواق والاستثمار، وفي كيفية تحقق النمو الاقتصادي، ولكنها تختلف في المنهج الذي تعتمده كل نظرية لتحقيقها، فالاقتصاد الإسلامي يستمد نظرياته لتحقيق التنمية الاقتصادية من مبادئ الشريعة الإسلامية ومقاصدها، في حين أن النظريات الاقتصادية الوضعية تنبني على فلسفة القانون الطبيعي. يهتم البحث بدراسة الاختلاف بين أهداف التنمية الاقتصادية في الفكر الاقتصادي الإسلامي والفكر الاقتصادي الوضعي، وقد خلص إلى أن التنمية الاقتصادية في الاقتصاد الإسلامي تسعى إلى الارتقاء بحياة الانسان نحو الأفضل دون تقديس للمادة على حساب القيم، في حين تنبني أهداف التنمية الاقتصادية في الاقتصاد الوضعي على تطوير ما بيد الإنسان دون اعتبار الجوانب النفسية والاجتماعية.
STRATEGI VISUAL UNTUK MENYAMPAIKAN CITRA PROFESIONAL BADAN USAHA MILIK NEGARA (BUMN) MELALUI TEKNIK FOTOGRAFI (STUDI KASUS PT SWABINA GATRA)
Authors: Wibisono Aryo Bayu
Published: November 2021

Fotografi adalah teknik yang selalu ada dalam kehidupan kita, tidak jarang dalam teknik fotografi selalu menampilkan sisi yang realistik pada setiap visual. Korporat dan UMKM tidak jarang selalu menggunakan teknik fotografi pada medianya, namun selama ini strategi dan model visualnya selalu menggunakan teknik fotografi pada media. Urgensi pada penelitian ini yang menarik untuk dikaji dan di paparkan dalam artikel penelitian ini. Penelitian dengan judul “Strategi Visual Untuk Menyampaikan Citra Korporat Dan UMKM Ke Stakehokder Melalui Teknik Fotografi” mengambil studi kasus pada visual fotografi PT Swabina Gatra (anak perusahaan Semen Indonesia) dan UMKM Batik, CV Bintang Abadi. Penelitian ini bersifat deskriptif, dan mendukung pola merancang dengan teknik fotografi pada media. Pengumpulan data menggunakan metode pengumpulan portofolio dari kedua sampe diatas, selain itu penelitian ini melakukan wawancara, observasi dan literatur ilmiah.
PEMBELAJARAN KONTRAS DALAM TIPOGRAFI MELALUI STUDI KOMPOSISIONAL
Authors: Hananto Brian Alvin
Published: November 2021

Tipografi telah menjadi salah satu disiplin ilmu yang keberadaannya semakin ditekan dengan berkembangnya disiplin desain yang lebih baru. Namun melihat jangkauanya, tipografi merupakan sebuah disiplin ilmu dasar yang penggunaannya banyak ditemukan sehari-hari. Dalam rangka mengajarkan dan meningkatkan kepekaan mahasiswa-mahasiswi DKV UPH dalam tipografi, penulis melakukan penelitian tindakan kelas untuk mengkaji dan mengevaluasi perkuliahan mata kuliah Tipografi Dasar yang diselenggarakan tiap tahunnya. Tulisan ini akan membahas mengenai salah satu latihan dalam mata kuliah tersebut, yakni latihan 3, dimana pada latihan ini mahasiswa-mahasiswi akan belajar mengenai kontras dalam tipografi dengan membuat rancangan komposisi desain. Melalui kuisioner kepada mahasiswa dan juga evaluasi tim dosen pengajar, penulis melihat bahwa latihan 3 ini menjadi sebuah latihan yang sangat efektif dalam perkuliahan di Tipografi Dasar DKV UPH, bahkan mungkin juga untuk diterapkan dalam universitas atau institusi lain yang juga memiliki kelas tipografi.
PENGGUNAAN MASKOT SEBAGAI BAGIAN DARI CITY BRANDING KOTA MALANG (STUDI KASUS: OSI DAN JI)
Authors: Wicaksono Aris Kurnia , Budiwaspada Agung Eko , Adhitama G. Prasetyo
Published: November 2021

In this modern era, cities play an important role in the country's development strategy, urban planners and designers and all stakeholders build a strong image and reputation in order to compete between cities and introduce them to the world for sources of regional cash income. City branding is one of the city's strategies to display uniqueness so that it is easily recognized and as a differentiator between a city. Currently, many cities in Indonesia have implemented a city ​​branding strategy and some have mascots as part of their city ​​branding. Mascot is part of the visualization of city ​​branding which has a role to strengthen brand identity. Malang City is one of the big cities in Indonesia that has implemented a city ​​branding strategy, namely Beautiful Malang. The city of Malang also has a mascot which is part of the city ​​branding of the city of Malang, namely the mascot of Osiji which is the official mascot of the Malang City government.

This research is a study that examines the Osiji mascot in terms of its application. This study discusses the use of the Osiji mascot as part of the city ​​branding strategy of Malang City and how the visual perception arises from the application of the mascot. The purpose of this research is to find out the strategy that has been implemented by the Malang city government in applying the Osiji mascot as part of the city ​​branding of Malang City and to know the visual perception created from the application of the Osiji mascot. This research uses descriptive qualitative method. The theory used in this research is Gestalt's theory of visual perception and Anholt's The City Brand Hexagon theory. The final results in this study indicate that the city ​​branding of Malang through Osiji is considered less than optimal so that the popularity of Osiji has not been able to strengthen the positive image of Malang City. The low popularity of the Osiji mascot is due to the application strategy that does not consider the design principles and concepts of city ​​branding.
Development of Brain Balancing System for Left and Right Hemispheres
Authors: Chua Karen , You Lim Zheng , Swee Sim Kok , Chiang Tan Shing
Published: November 2021

This paper presents the design of Mini Brain Games (MBGs) to improve either the left or right hemisphere of the brain. The MBG includes spot the difference, piano, block view, word building, word scrambler, sudoku, left hand control, memory card, flash card, crossword, math logic and mnemonics technique used for the order of operations in algebra, the planets in solar system, and resistor color code. Stroop test and brain dominance test are used to measure the level of balance between the two hemispheres of the brain before and after the exercise program. The mini brain games designed in the Brain Balancing System Windows Application are shown to improve the balance between the left and right hemisphere of the brain. The results show that the mini brain games are indeed able to assist in the left or right brain development. The largest improvement achieved is that the percentage of dominance between the two brain hemispheres is reduced by 18.18%. The smallest improvement achieved was that the difference between the two brain hemispheres was reduced by 9.08%.
Data Acquisition System and Pattern Image Generations for Hand Grip Device
Authors: Wong Ming-Horng , Yeo Boon-Chin , Ng Poh-Kiat , Choong Wei-Jun
Published: November 2021

Grip pattern is essential to understand how an object being held in hand. One of the solutions is to use the pressure sensing glove to capture the gripping pressure distributed on the surface of the palm. The objective of this project is to develop a data acquisition system for a gripping device that can capture the grip patterns when a person is gripping an object. The design comprises of Velostat sheet, rows, and columns of conductive threads, that are sandwiched and layered to form a glove with pressure sensor grids. Arduino is used to generate the signals for data acquisition and interface with the MATLAB program through serial communication. On the MATLAB, the sensor data are organized and represented in hand pattern color image. Voltage Divider Rule (VDR) was used in an experiment with different resistor values and the effect of the image patterns were observed. Another experiment has been designed to find out the grip consistency. The results show that resistor values 330ohm can cause the image pattern create noises. Meanwhile, 4.7kohm resistance value is sufficient to eliminate most of the noises made in the pattern images. In this paper, different grip images can be obtained from different grip activities, such as holding toothbrush, lifting dumbbell, and pressing syringe. Future works can be done in resolution improvement and grip pattern recognition.
LETTER TO THE EDITOR REGARDING: EVOLVING BUSINESS MODELS IN ORTHOTICS
Authors: Laakso Linda
Published: November 2021

The purpose of this letter is to initiate a constructive dialogue, clarify some of the information provided in the CPOJ recent article, “Evolving business models in orthotics” and to highlight our concerns with respect to important context about the orthotic and prosthetic profession in Canada that we feel was missing from the publication (Schneider N. Evolving business models in orthotics. Canadian prosthetics & orthotics journal. 2021; Volume 4, Issue 2, No.3. https://doi.org/10.33137/cpoj.v4i2.35876).
Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/37717/28740
How To Cite: Laakso L. Letter to the editor regarding: Evolving business models in orthotics. Canadian Prosthetics & Orthotics Journal. 2022; Volume 5, Issue 1, No.3. https://doi.org/10.33137/cpoj.v5i1.37717
Corresponding Author: Linda Laakso, MSc CO(c) FCBC, OPC PresidentOrthotics Prosthetics Canada (OPC), Toronto, Canada.Custom Orthotic Design Group Ltd., Mississauga, Canada.E-Mail: lindalaakso@customorthotic.caORCID ID: https://orcid.org/0000-0002-1636-3717OPC website: https://opcanada.ca/
High dimensional Selection with Interactions for Binary Outcome (HDSI-BO) Algorithm in Classifying Height Indicators Through Social-life and Well-being Factors
Authors: Zhuang Ziqian , Xu Wei , Jain Rahi
Published: November 2021

Introduction: High dimensional Selection with Interactions for Binary Outcome (HDSI-BO) algorithm can incorporate interaction terms and combine with existing techniques for feature selection. Simulation studies have validated the ability of HDSI-BO to select true features and consequently, improve prediction accuracy compared to standard algorithms. Our goal is to assess the applicability of HDSI-BO in combining different techniques and measure its predictive performance in a real data study of predicting height indicators by social-life and well-being factors.

Methods: HDSI-BO was combined with logistic regression, ridge regression, LASSO, adaptive LASSO, and elastic net. Two-way interaction terms were considered. Hyperparameters used in HDSI-BO were optimized through genetic algorithms with five-fold cross-validation. To measure the performance of feature selection, we fitted final models by logistic regression based on the sets of selected features and used the model’s AUC as a measure. 30 trials were repeated to generate a range of the number of selected features and a 95% confidence interval for AUC.

Results: When combined with all of the above methods, HDSI-BO methods achieved higher final AUC values both in terms of mean and confidence interval. In addition, HDSI-BO methods effectively narrowed down the sets of selected features and interaction terms compared with standard methods.

Conclusion: The HDSI-BO algorithm combines well with multiple standard methods and has comparable or better predictive performance compared with the standard methods. The computational and time complexity of HDSI-BO is higher but still acceptable. Considering AUC as the single metric cannot comprehensively measure the feature selection performance. More effective metrics of performance should be explored for future work.
Statistical Modelling of Population-Level Exonic Variant Frequency Data with an Emphasis on Rare Variants
Authors: Shi Yining , Bull Shelley
Published: November 2021

Introduction & Objective: Rare variants with allele frequency smaller than 1% are postulated to be associated with disease susceptibility. Since allele frequencies vary globally, the use of population control data that does not match the study population can produce bias. The research question is to identify factors that explain variation in allele frequency across populations. The secondary question is to evaluate the potential bias in using population as control data when studying variants. We use data from gnomAD (Genome Aggregation Database) to answer these questions.

Methods: We apply each of three model formulations: Linear, Logistic, and Poisson to explain how the frequency or count of variants depends on population subgroup/ancestry, functional annotation, sex, and disease status. We also evaluate interactions between population subgroups and functional annotation.

Results: For very rare variants (allele frequency < 0.1%), likelihood ratio testing (LRT) provides evidence that allele frequencies vary with functional annotation and population in all three model formulations. By LRT, interactions of population and functional annotation are significant in the Logistic model and the Poisson model. The goodness-of-fit statistics show a better fit in the linear model compared to low frequency variants.

Conclusion: We observe that population & functional annotation affect variant frequencies, and conclude that detection of differences across populations and annotations is model scale-dependent, especially for different degrees of rareness. Therefore, statisticians need to carefully consider the potential for bias when using gnomAD as control data. Moreover, gnomAD is a great resource for studies dealing with rare variants.
A spatio-temporal modelling of Covid-19 infections in Toronto’s neighbourhoods
Authors: Fu Sze Hang
Published: November 2021

Introduction & Objective: Besides age and sex as established risk factors of COVID-19 infection, social factor is found to be a determinant, with people of lower socioeconomic status suffer disproportionately from the disease. The city of Toronto has one of the highest COVID-19 infection rates in Canada. This analysis aims to explore the socioeconomic correlates associated with COVID-19 infection and the temporal trends among different age groups in Toronto using geospatial modeling.

Methods: A Bayesian spatio-temporal analysis was conducted using public COVID-19 cases data for Toronto. The case data were modeled using the Besag-York-Mollie (BYM) model, implemented in R-INLA. The model adjusted for age, sex, neighbourhood-level socioeconomic factors, crime rates, and population density. Random effects were included to account for neighbourhood-level variation and for spatial autocorrelation. Temporal trends of COVID-19 cases were modelled using second-order random walks to allow non-parametric estimations.

Results: The model estimates showed that men are at higher risk of COVID-19 infection. Among neighbourhood factors, higher home prices, education level, and population density are at lower risks, while belonging to an improvement area showed elevated risks. The temporal trends differed by age, with ages 20-59 showed increased risks over time, compared to the youngest and older age groups. Model predictions showed that northwest Toronto has higher risk compared to the rest of Toronto.

Conclusion: The higher COVID-19 infection risks in the Northwest will require increase public health effort to control disease spread in this area. The ecological correlates identified in this analysis will also help to guide the ongoing vaccination plans.
Gender and Gender-Based Violence
Authors: Brown Wollenberg Megan
Published: November 2021

Action Against Hunger is an international non-governmental organization with six headquarters located around the world that focus on ending hunger in low and middle-income countries. The Canadian office uniquely provides evidenced-based technical support and evaluation for headquarters focused on implementing interventions and programming to mitigate hunger. For my practicum I worked in the International Gender Unit to support ongoing policy development and updating of the organization’s cross-network gender policy. Gender inequalities have direct causal links with malnutrition; yet, in March 2020 the Global Nutrition Report showed that global efforts to mitigate hunger by addressing gender inequalities are behind on most targets. To better capture and learn how to address underlying inequalities and drivers of malnutrition, my practicum research focused on the associations and non-associations between gender, gender-based violence, and malnutrition. This practicum placement had three objectives: 1) to provide a literature review 2) to provide a database comprised of peer-reviewed and grey literature; and, 3) to support new policy development during cross-headquarters discussions, research, and reporting. During this placement I had the opportunity to work online with individuals across five continents and twenty-one countries. This included facilitating break-out policy discussions during policy meetings, as well as semi-structured interviews that were conducted prior to providing a literature review and socio-ecological discussion on gender, gender-based violence and malnutrition. The opportunity to engage in international and cross-cultural collaborative work has been the highlight of my practicum. It has provided the opportunity to not only sharpen my reflexive praxis as a student of public health, but to sharpen my understanding of the policy process at the organizational level. It has additionally illuminated the importance of structural and social contexts in public health research and programming, especially within efforts to address gender inequalities and gender-based violence associated with malnutrition.
Combat Food Insecurity amid the COVID-19 Pandemic
Authors: Wang Yiran
Published: November 2021

Food insecurity has long been a public health issue in Northwestern Ontario, which adds a substantial burden on social costs and health care. Food insecurity is further exacerbated during the COVID-19 pandemic, due to the closure or limited hours of emergency food and transportation services. Low-income seniors (age>65 years old) face additional risks of food insecurity due to their vulnerability to the coronavirus. To help reduce food insecurity in this specific population, an emergency food program named “Senior Food Bags” was established by Roots to Harvest at the City of Thunder Bay, which provides insights on incorporating skill-building into food distribution activities.    

As a dietetic intern, I participated in the planning and implementation of the project. Considering that a lack of fresh produce, limited cooking skills, and comorbidities are major barriers for local low-income seniors, we aim to impart seniors with basic cooking skills and create recipes to consider health concerns. Hence, a weekly recipe was developed to encourage seniors to use healthy ingredients (e.g. fresh and preserved produces of proteins, grains, fruits, and vegetables) included in the bag for meal preparation. No ID was required, and seniors were respectfully approached for communication during the distribution. The mid-term survey suggested that all senior participants (n=40) thought the project helped reduce food insecurity during COVID-19. 1/3 of participants mentioned being more confident and capable of preparing healthier meals. 

The project illustrated that skill-building and dignified services in emergency food programs can do more than provide food. To enhance the capacity of food security, the first step is to equip individuals with intentions and skills to combat food challenges. Therefore, in addition to food distribution, food donor projects should also focus on fostering individuals’ food literacy development to empower them and aid public health.