bluuebunny/crossref_metadata_2025 huggingface dataset:
Fog Enabled Cloud Based Heart Rate Monitoring System
Authors: Arulmozhiselvan L  , Uma E
Published: November 2021

The world has seen a substantial growth in the number of senior citizens who often endure from heart disease in recent times and has seen a major spread of the viral disease (COVID-19) in recent months, resulting in thousands of deaths, particularly among the elderly and people suffering from heart disease. Among the most promising health care that seek to relieve the suffering of patients, particularly the elderly, by eliminating the trouble of going to hospital centers for treatment and enabling them to obtain medical attention in their homes. The IoT has been depended on and its use has seen broad adoption in health care, where it is commonly used remotely to track patient health. Fog computing expands the computational capabilities of the cloud to the edge devices of the IoT, enabling many smart devices in healthcare to provide services such as storing and retrieving information to their users. However in the traditional cloud-based system, there is a timing delay in providing a reliable and secure heart monitoring system. The main objective of this work is to develop a fog-enabled cloud-based (FECB) heart rate monitoring unit that allows better network use and energy consumption. In terms of performance metrics, such as latency and delay, the proposed system also outperforms the existing system.
Energy Efficient Clustering Technique for VANET
Authors: Iswarya B  , Radha B
Published: November 2021

Vehicular ad-hoc networks (VANET) are listed as an extension of mobile ad-hoc networks (MANETs) which can improve road safety and provide the Intelligent Transportation Systems (ITS). In addition to its advantages, VANET faces many obstacles ranging from high-energy consumption to instability induced by high changes in topology. The main goal of designing an optimum route algorithm is to decrease the probability of contact failure and reduce the energy consumption of nodes within the network. Clustering is thus a method to combine nodes and make the network more robust. With no node consciousness, it is often shorter on resources, which causes network execution problems and changes in topology. At that point, a primary energy issue emerges in the AODV routing protocol that aims to improve the energy efficiency of the V2V communication in nodes lifetime and to connection lifetime problems in the network. This article proposed a clustering-based optimization technique called Energy Efficient Clustering Technique (EECT) with the AODV protocol’s K-Medoids clustering algorithm in order to cluster vehicle nodes and find nodes that are convincing to interact in a defined secured and reliable path, which detailed in previous works. Efficient nodes are recognized from each cluster with the goal of energy-efficient communication, to optimize the parameter as minimum energy consumption in VANET.
Traffic Monitoring System Using IoT and DL
Authors: Jayakumar S  , Lokesh Kumar K  , Purva Darshini S K  , Sanjeev D
Published: November 2021

In Metropolitan cities, where the amount of automobile continuously expands faster than the obtainable traffic framework to support them, congestion may be a strenuous issue to affect and it becomes much worse in case of car accidents. This problem affects many aspects of contemporary society, health damages, traffic accidents, duration spent, grow in greenhouse emissions and including economic expansion. In this context, current societies can rely on the traffic management system to diminish traffic congestion and its negative chattels. In this project, we propose a traffic management system where the traffic will be monitored with all the automobiles on the road. We will track the number of automobiles entering the signal zone and will predict the traffic is high or low. Hang on the quantity of automobiles in each signal zone, the traffic signals can be automated. So that maximum amount of duration is given to more automobiles whereas the lesser duration for some automobiles. Thus this project aims at reducing the traffic and managing the signals automatically leading to the sensor less traffic management system.
Smart Wearable System to Assist Asthma Patients
Authors: Niranjana S  , Hareshaa S K  , Zibiah Basker Irene , Anand J
Published: November 2021

Asthma is a perpetual lung infection that inflames and shortens the airways leading to intricacy in breathing. It affects 300 million human life globally out of which 20 million people are Indians, and every year about 2.5 lakh people die of asthma prematurely around the world. The estimation of asthma patients globally will exceed 100 million by the year 2025. All the deaths due to asthma are preventable with proper care and guidance [1]. This paper provides a user-friendly wearable device included with an android app that monitors the environmental factors faced by asthma patients as well as their health parameters and transmits the collected data to a cloud platform. The parameters are deliberated using special sensing element like temperature sensing unit, humidity sensing unit, gas sensor unit and pulse rate sensor unit. The evaluated parameters are the presence of polluted gas, abnormal temperature, humidity and pulse rate, and the specific location of the user. All these parameters are regularly updated in the display unit attached to the wearable device as well as in an android app, which consists of Asthma Symptom Test (AST) to predict the probability of asthma and it gives essential precautions to the patients by gathering details from the cloud which prevents them from provoking a severe attack. The proposed system was implemented and tested in real-time environment.
Applications of Object Detection, Brain Tumor Detection and Classification
Authors: Bhagyalakshmi A  , Deepa S  , Parthiban N
Published: November 2021

In the medical diagnosis system, detection and labelling of the specific region of interest and classification of diseases in Computer Tomography (CT) images and Magnetic Resonance Imaging (MRI) scans is a challenging task. Another major application is tumor or cancer type of cell detection as well as finding its size and location in the image. This research work focuses on addressing the most challenging research gaps existing in the field of medical diagnosis such as brain tumor identification in medical images, retrieving similar images or region from the database. In these applications, the major task involved in the extraction of sufficient and relevant features, is to identify the region of interest. With the extracted features development of efficient algorithms for the detection of region of interest (ROI) and the learning algorithms also required to classify the new images for the existing features. The highlight of the proposed work is to design an automated detection of the presence of tumor cells in the brain image and classification of normal and abnormal brain images.
Stock Market Prediction Using Machine Learning Techniques
Authors: Reshma R  , Usha Naidu S  , Sathiyavathi V  , SaiRamesh L
Published: November 2021

Predicting the future in all the areas using machine learning techniques was the recent research in the current scenario. Stock market is one among them which needs the prediction future market to invest in the new enterprise or to sell their existing shares to get profit. This need the efficient prediction technique which studies the previous exchanges of stock market and gives the future prediction based on that. This article proposed the prediction system of stock market price based on the exchange takes place in previous scenario. The system studies the diversing effect of market price of product in a particular time gap and analyze its future trend whether it’s loss or gain. During the system of thinking about diverse strategies and variables that should be taken into account, we observed out that strategies like random forest, Support vector machine and regression algorithm. Support vector regression is a beneficial and effective gadget gaining knowledge of approach to apprehend sample of time collection dataset. The data collected for the four years duration which was accumulated to get the expecting prices of the share of the firm. It can produce true prediction end result if the fee of essential parameters may be decided properly. It has been located that the guide vector regression version with RBF kernel indicates higher overall performance while in comparison with different models.
Smart Surveillance System for Abnormal Activity Detection Using CNN
Authors: Sathiyavathi V  , Jessey M  , Selvakumar K  , SaiRamesh L
Published: November 2021

Crime is the factor increases day by day and also needs the solution for identifying these activities in an efficient and quick manner. Many surveillance systems use artificial intelligence and image processing are incorporated with them to implement an intelligent surveillance system. But most of the systems are provided the alarm or identifies the crime after it happens. To solve this problem, camera footage-based theft detection will be used with the help of machine learning to detect theft occurrence. System will detect the human activity with the help of open-pose algorithm and convolution neural networks. Then the footage will be examined based on the pretrained model and it will be classified into three categories namely safe, abnormal or crime. Convolution neural network is used to classify the motion and an alert message will be sent to the owner along with captured image and options such as neglect or call the police.
IoT Based Smart Electrolytic Bottle Monitoring
Authors: Anand J  , Gowtham H  , Lingeshwaran R  , Ajin J  , Karthikeyan J
Published: November 2021

In hospitals, Electrolyte is fed to patients in many ways. One of the important functions is in the form of saline to treat dehydration and thus improve the healthiness. In contemporary health care procedures, whenever a saline is nursed to any persevering, the persevering is unceasingly observed by a nurse or any custodian. Monitoring the Saline level in a bottle attached to a patients’ body is one of the most important tasks for a Nurse/caretaker. In cases involving ignorance or carelessness, the bottle may get empty and blood can start flowing reverse into the bottle from patients’ body. This is a risky situation and needs a better solution. We are developing an IoT based bottle level monitoring system that will detect the saline bottle level at all instances by sending an alert to monitoring room of hospital when the bottle content reaches below threshold level. The proposed system is not electrolyte specific and can monitor any fluid. The system can be incorporated with existing bottle stands so it has an added advantage of flexibility and modularity. The app interface will be easy to operate and understand so that anyone with basic technical knowledge will be able to use it. As of now, it can operate for monitoring purposes and we have added automatic flow stop control to improve it further. In case of power failures, the system will still function as its battery powered but database updates will not be updated, so a physical alert solution like a beeper is also being planned will be incorporated.
Genetic variability of productivity traits and evaluation of exterior of Holstein cows depending on body type
Authors: Konte A. , Karlikova Galina
Published: November 2021

Abstract. The aim of the research is to study the selection and genetic parameters of the characteristics of productivity and the exterior of Holstein first-calf cows, depending on their body type. Research methods. Based on the data from the SELEX database, we researched the performance indicators and measurements of the trunk of first calving cows in the amount of 4049 heads. Based on the RENUMF90 software shell of the BLUPF90 program, we obtained digital values of the genetic variability of productivity indicators and the external structure of animals in accordance with the equation of the mixed model. Results. The most broad-bodied animals classified as airysomal type had the highest milk yield in the first lactation, and exceeded animals of the leptosomal type by 563.3 kg (p ≤ 0.001). According to the "B" system, broad-bodied cows are superior to narrow-bodied animals: stature – by 1 point (p ≤ 0.001); body depth – by 0.8 points (p ≤ 0.01); rump width – by 1.9 points (p ≤ 0.001); rump angle – by 0.9 points (p ≤ 0.01); fore udder attachment – by 1 point (p ≤ 0.01). Animals of the narrow-bodied type reliably (p ≤ 0.001) had a high genetic relationship between milk yield in 305 days of first lactation and the mass fraction of protein in milk (0.59 ± 0.005). At the same time, the leptosomal type of cows also had the greatest correlation between milk yield and mass fraction of fat (0.51 ± 0.005) (p ≤ 0.001). According to body measurements, the highest correlation coefficients were found in animals of the airysomal type – 0.24 ... 0.50. All Holstein heifers of different body types have high heritability coefficients in terms of fat mass fraction (h2 = 0.37 ... 0.49) and protein mass fraction (h2 = 0.42 ... 0.51). Scientific novelty. For the first time, studies of the genetic variability of productivity indicators and the exterior of Holstein cows, depending on their body type, were conducted.
A Strategi Pemasaran Mangga Klonal 21 di Kabupaten Pasuruan
Authors: Nur Yunita Puspitasari  , Wahyu Santoso  , Hamidah Hendrarini
Published: November 2021

The purpose of this study was to determine the right marketing communication strategy at the clonal 21 mango cultivation center. The data collection method used quantitative descriptive with the stages of observation, interviews and the use of SWOT questionnaires to clonal 21 mango farmers which was used to determine the right strategy in marketing clonal 21 mango based on internal and external factors. The sampling technique used was purposive sampling method which used non-random sampling with a population of 120 farmers who used a sample of 50 farmers because they were still members of one Gapoktan. The right strategy according to SWOT is to diversify products to increase revenue sales significantly. Diversification strategies that can be applied to marketing are developing processed products made from clonal 21 mangoes and using social media as a marketing medium to attract consumer buying interest while outside Pasuruan Regency. The QSPM matrix is ​​used to find out the alternative strategies to be used. The alternative strategy is conducting off season development to meet market demand and developing processed products by prioritizing the quality of human resources in the form of using technology to support the quality and quantity of clonal mangoes.
PROPORTIONS OF VARIOUS BENIGN BREAST LESIONS AMONG WOMEN PRESENTING AT TERTIARY CARE INSTITUTE OF INDIA: A CROSS-SECTIONAL STUDY
Authors: Malani Manish R.
Published: November 2021

Background and Aim: Benign Breast Diseases (BBDs) is a group of non-cancerous breast diseases. A triple assessment which is done by a clinical examination, imaging like ultrasonography (USG) or mammography and a pathological examination – FNAC or core needle biopsy, during the initial consultation, allows clinicians to give immediate reassurance to most of the patients. The aim of the study was to find out the proportions of various benign breast lesions among women aged 18 years and above. Material and Methods: A prospective study was conducted in the Department of Surgery, Tertiary care institute of India for a period of 20 Months. Based on the pilot study sample size derived was found to be 102. A performa was filled with patient particulars, history and clinical findings in female patient attending department of surgery OPD with breast related symptoms. Patients will be followed up with histopathological, cytological and radiological studies in indicated cases. The patients will be followed up for 1 year. Most common benign breast related symptoms and condition among the study group and probable risk factors for the same will be analyzed. Results:The commonest case among the study population was fibroadenoma 37 (36.27%). The next common was acute breast abscess, followed by fibrocystic disease (9). Lump alone detected either by patient herself or by the clinician was the most common presenting complaint in around 40 patients, followed by lump with pain in around 37, followed by either pain, nipple discharge. Fibroadenoma could be diagnosed clinically with an accuracy of about 89%. Abscess breast, phyllodes tumor and galactocele and few cases of granulomatous mastitis was also able to be diagnosed clinically. Conclusion: Fibrocystic disease is commonest amongst proliferative breast lesions followed by Sclerosing adenosis. Breast abscess is the commonest lesion amongst inflammatory breast lesions. Breast self-examination and health education to females is very important in cases of benign proliferative lesions.

Key Words: Benign Breast Diseases, Fibroadenoma, Phyllodes tumor, Ultrasonography
AN UPDATED GUIDELINES ON POST-OPERATIVE WOUND MANAGEMENT
Authors: Nimbalkar Sangita Santosh , Malani Manish R.
Published: November 2021

Introduction: management and prevention of wounds after a surgical procedure, are important and debatable topics. Optimal adoption of guidelines for proper prevention and management of post-surgical wounds must be carried out by any surgeon or institute. Postoperative wound care is done by cleaning and dressing the wounds after the surgical procedure, preventing them from getting contaminated with the external surfaces or the microorganisms on the patient’s body. Surgical Site Infection (SSI) is the infection associated with healthcare in which the infection occurs in the wound after an invasive surgical procedure. A minimum of 5% of the patients who undergo surgical procedures will develop surgical site infections. This study draws the attention of the clinicians to a proper set of guidelines for post-operative care to minimize post-operative complications.

Materials and Methods: this study is a Retrospective Cohort design. The study was considered 92 patients who had various types of surgery from during the period of 10 months. The patients who had intra-abdominal surgery are only included. The study divided 92 patients into 2 groups. In each group, 46 patients were assigned based on following NICE guidelines on postoperative wound management. Patients, for whom the NICE guidelines were followed properly at every aspect, were assigned to the first group (Group 1). Otherwise, the patients were assigned to the second group (Group 2). The study adopted a list comprising of NICE guidelines which are applicable to this study. The study assessment was done by observing the appearance of Surgical Site Infection among the patients, 3 to 7 days post-surgery.

Results: it as found that 91.30% of the Group 1 patients showed significant improvement in terms of resolution while only 13.04% of the patients in improved significant without any surgical site infection (SSI).

Conclusion: the study results show that the patients who were given post-operative care according to NICE guidelines had much lesser Surgical Site Infection (SSI) as compared to those who were not given post-operative care according to NICE guidelines.

Keywords: surgical site infection, postoperative care, nice guidelines, wound management
Association Between Costochondritis and Vitamin D Deficiency: An Observational Study
Authors: Chourasiya Mahendra , Rathore Abhishek , Bhana Indu
Published: November 2021

Background: Vitamin D is an integral part of bony health. Its deficiency leads to multiple bony pains, including costochondritis.

Aims and Objectives: Present study aimed to evaluate the association of costochondritis with vitamin D deficiency.

Materials and Methods: A total of 100 patients with chest pain with costochondral tenderness were taken. Clinical history, examination, investigation, including electrocardiogram, echocardiogram, and chest x-ray was made.

Results: 63% and 37% were female and male, respectively. Mean vitamin D level was low in females as compared to males (21.9±8.47 and 31.7±6.23 respectively). Prolonged duration of chest pain was associated with low vitamin D level that was statistically significant (p<0.001).

Conclusion: Vitamin D deficiency is common in the Indian community, may lead to bony pains, costochondritis, osteomalacia. Replacement of vitamin D is recommended to alleviate skeletal manifestations.

Keywords: vitamin D deficiency, non-cardiac chest pain, costochondritis
Алгоритм оцінювання частоти комплексного гармонічного сигналу з сегментацією даних спостережень
Authors: Абрамов Олександр Дмитрович , С’єдіна Юлія Володимирівна , Ніколаєв Андрій Юрійович , Бондарєв Артем Андрійович
Published: November 2021

The article deals with the technology of estimating the frequency of harmonic components in the presence of additive normal interferences for solving applied problems of spectral analysis. Objective: to develop a methodology for the synthesis of algorithms for determining the frequency of a complex harmonic signal in discrete sections of the process, this is observed when using data segmentation. Objective: to develop the optimal technology for determining the frequency of the hormonal component of the process, provided by a finite number of discrete compartments, according to model representations and requirements that meet the problems of the current state of spectral analysis practice. These results were obtained. The problem of estimating the harmonic frequency from segmented data in the presence of additive Gaussian interference in observations based on the method of maximum likelihood is solved. The processing algorithm and the consequences of digital modeling of the synthesized evaluation technology for a given number of discrete process samples are given. The analysis of both the practical capacity of the technology for determining the assessment and certain qualitative indicators of assessment is performed. Conclusions. The scientific novelty of the obtained results is as follows: further development as a method for solving problems of estimating the frequency of the harmonic signal from a few sample values of the process under conditions of additive normal interference and methods for optimizing the structure of digital processing of observations in data segmentation. The synthesized technology uses one sample of observations to determine the estimates, which ensure the efficiency of information processing in a simple software implementation. The use of segmentation in the technological process of digital processing of observations allows obtaining estimates, the quality of which corresponds to the indicators of maximum likelihood. For unambiguous assessment, there is a need to eliminate ambiguity. Under these conditions, the technology with a given number of samples can significantly solve the range of signal-to-noise ratios at which can be obtained unbiased estimates.
Analisis Unsur Yang Mempengaruhi Hubungan Antara Pekerja dan Pengusaha
Authors: Prihadi Dana
Published: November 2021

This research was conducted to determine workers' perceptions about the laws and regulations in the work environment, the existence of trade unions and the harmonization of relations between workers and employers. The researcher carried out several stages, the first that was carried out was to measure the influence of understanding of regulations in the field of manpower, second to measure workers 'perceptions of work welfare, third to measure the effect of workers' perceptions on the existence of workers, and fourth to measure the harmonization between workers and employers using alpha values cronbach of 0.6. The research used multiple linear regression analysis tools and classical assumption test. The results of this study indicate a positive and significant influence among workers' perceptions of the invitational regulations in the labor sector. Prosperity of the workforce and harmonization of relations between workers and employers simultaneously.
Prediction of Carbon Monoxide (CO) Atmospheric Pollution Concentrations with Machine Learning and Time Series Analysis in Langkawi, Malaysia
Authors: Choy Wah Chyang , Kassim Azleena Mohd , Ul-Saufie Ahmad Zia
Published: November 2021

Carbon monoxide (CO) is a non-irritant toxic and odourless gas produced from the incomplete combustion of fossil fuels. Long-term exposures to lower levels of carbon monoxide have wide implications for human health. Thus, an early warning system for CO atmospheric concentration with an accurate and reliable forecasting method is crucial. Studies for predicting CO atmospheric concentration are still limited in Malaysia especially using data science approaches. This study aims to develop and predict future CO concentration for the next few hours by using the statistical time series approach and machine learning approach. The data used for the project is the air quality data of the monitoring station in Langkawi, Malaysia. The data mining tool used for this project is RapidMiner Studio. Based on the results, it showed that Time Series analysis with deep learning gave a reasonably good CO concentration prediction for the next 3 hours with a relative error of approximate 10%. The model developed in this project can be used by authorities as public health’s protection measure to provide an early alarm for alerting the Malaysian populations on the air pollution issue.
The Emergence of Phase Change Material in Solar Thermal Energy: A Scientometric Review
Authors: MANAF NORHUDA ABDUL , Abdul Jabar Muhammad Hussin , Abdul Jabar Muhammad Hussin , Jamian Nor Ruwaida
Published: November 2021

Phase change material (PCM) features an attractive option due to its solar thermal storage capability to assist the cooling/heating process especially during night operation, thus contributing to the reduction of energy cost and carbon footprint. This study aims to analyse the emergence of PCM in the application of solar thermal energy. Subsequently, to envisage Technology Readiness Level (TRL) and commercialisation opportunity based on historical and contemporary research trends. This review encompasses of peer-reviewed literatures from Scopus database for one decade between 2010 and 2019. Based on the review, there is a moderate growth on the research related to PCM-solar thermal at 22% of emergence rate from the past one decade. China has dominated in this research development by concurring approximately 22% from the number of research articles published globally. It can be concluded that the application of PCM in solar thermal energy system is at TRL 5 which reflects research and development (R&D) progress is at intermediate prototypical development based on the trend of academic publication. Furthermore, based on the review, PCM features great potential in commercialisation opportunity due to its vital contribution as a frontier material/substance in overcoming the challenges of energy and environmental insecurity.
Deferment of Both Counter Values in Financial Transactions Maqasid Analysis and Its Impact on Money Exchanges
Authors: Abozaid Abdulazeem
Published: November 2021

وجِدت بعضُ النصوص الشرعية التي تنهى عن تأجيل البدلين في المعاوضات المالية، فوقفتْ عندها الآراء الفقهية المعاصرة في بعض التطبيقات وقوفاً ظاهرياً دون تعليل، ففرقت في الحكم بين حالات متماثلة دون قيام ما يستدعي التفريق بينهما في الحكم، وتجاوزت في بعض الحالات هذا التحريم بالدلالة على مسالك غير مباشرة تؤدي إلى ذات النتيجة من حدوث تأجيل العوضين. يأتي هذا البحث ليحقق في غايات الشريعة من أصل النهي عن تأجيل العوضين، ثم ليُحقّق في التطبيقات المعاصرة التي يقع فيها موجب النهي في تأجيل العوضين في عقود الصرف بخاصة، فيفصّل في هذه التطبيقات ويحدد المقبول منها وغيرها بناءً على تحليل مقاصد النهي في أصل المسألة من وجه، وعلى مدى الحاجة إلى التطبيق المعاصر لها، وبيانِ الآثار الإيجابية أو السلبية لذلك التطبيق. وقد توصل البحث إلى إمكان تصحيح بعض المعاملات التي تتضمن تأجيل العوضين، ولكن بشروط، بينما لا يمكن تصحيح بعضها الآخر بالنظر إلى مفاسدها المرتبطة بالربا والغرر. وأوصى البحث بضرورة تعاون بين علماء الشريعة والاقتصاديين في مراجعة المعاملات المالية المعاصرة بما يحقق مقاصد الشريعة في الأحكام ويُنّب مخالفة أحكامها.
GAMBARAN KEBIASAAN MAKAN MASYARAKAT URBAN DALAM IKLAN GRABFOOD VERSI “JANGAN LUPA MAKAN”
Authors: Yani Aditya Rahman , Sari Widya
Published: November 2021

Penelitian berjudul Gambaran Kebiasaan Makan Masyarakat Urban dalam Iklan Grabfood Versi “Jangan Lupa Makan” ini adalah penelitian yang mengungkap gambaran kebiasaan makan masyarakat urban yang diartikulasikan dalam visual image yang berupa tayangan iklan. Masyarakat urban kini mengalami perubahan perilaku dalam mengonsumsi makanan dan minuman dari konvensional berubah ke aplikasi di smartphone. Salah satu perusahaan jasa pesan antar makanan yang berkembang di Indonesia adalah PT Grab Indonesia yang keberhasilannya tidak lepas dari peran strategi iklannya versi “Jangan Lupa Makan” yang dirilis pada akhir 2019. Peneliti dipilih sebagai objek penelitian karena menampilkan gambaran perilaku makan masyarakat urban di Indonesia. Alat analisis yang dipakai dalam penelitian ini adalah Semiotika Barthes yang tertarik pada pembahasan denotasi, konotasi, mitos dan ideologi. Hal menarik dari penelitian ini adalah melihat bagaimana iklan merepresentasikan kebiasaan makan masyarakat urban yang beraneka ragam dari berbagai kelas sosial, etnis, profesi, dan perannya di masyarakat.
KAJIAN NILAI CADIK DI PESISIR SELATAN JAWA
Authors: Rochyat Indra Gunara , Sunarto Bambang
Published: November 2021

Cadik adalah alat penyeimbang perahu nelayan di Pesisir Selatan Jawa. Fungsi cadik adalah untuk menjaga kestabilan perahu agar tidak terbalik saat diterpa gelombang. Ada pandangan bahwa cadik hanya merupakan bagian dari perahu nelayan. Padahal, cadik bukan sekedar elemen sekunder dari perahu. Cadik adalah fenomena budaya, yang memiliki fungsi penting lain bagi masyarakat pesisir terkait dengan persoalan nilai dalam seni rupa cadik. Masalah ini belum pernah diteliti sehingga perlu untuk mendapat perhatian. Pendekatan diakronik dan antropologi nelayan cukup berfungsi untuk menghasilkan kesimpulan melalui analisis yang proporsional. Ada perbedaan mendasar antara cadik pada Pesisir Selatan Pulau Jawa dengan adalah cadik di pesisir pantai lainnya. Penyebab perbedaan adalah karakteristik penalaranan dan intuisi para pengrajin. Nalar dan intuisi mereka bekerja berdasarkan kebutuhan dan persoalan kehidupan. Akhirnya, persoalan itu menghasilkan nilai resistensi pada cadik. Penelitian ini membuktikan bahwa cadik adalah karya budaya yang memiliki nilai resistensi dan nilai-nilai estetis lainnya sebagai tambahan.
RELEVANSI MATA KULIAH SEJARAH DESAIN INDUSTRI TERHADAP PROSES KREATIF DUNIA INDUSTRI PRODUK
Authors: Widyastuti Putri Anggraeni , - Huddiansyah -
Published: November 2021

Sejarah desain industri merupakan mata kuliah yang diambil mahasiswa desain produk Fakultas Desain dan Industri Kreatif Universitas Esa Unggul, atau pun mahasiswa desain sejenis untuk mempelajari perkembangan produk per era (dengan kecirian fungsional dan estetika serta keterlibatan para tokoh dibaliknya) sebagai pengetahuan dasar dalam merancang produk. Sayangnya perkuliahan ini sering dilupakan mahasiswa saat menempuh semester selanjutnya. Hal ini berakibat bagi mereka ketika masuk dunia kerja baik sebagai alumni atau peserta magang yang kurang memahami proses kreatif dalam perancangan desain di dunia industri produk. Oleh karena itulah, penelitian ini diangkat agar dapat menemukan relevansi mata kuliah ini terhadap proses kreatif dunia industri produk, dan para peserta didik prodi Desain Produk ini maupun alumninya menjadi objek penelitian kali ini. Metode fenomenologi ini dilakukan dengan melibatkan objek penelitian sebagai partisipatori atau participatory action reseach (PAR). Tujuan penelitian ini untuk memberikan masukan berupa analisa relevansi mata kuliah sejarah desain industri terhadap proses kreatif dunia industri produk bagi pihak-pihak terkait.
PERANCANGAN STOOL DENGAN SISTEM KNOCKDOWN BAGI PENGUNJUNG CAFÉ JCO
Authors: Yusuff Adisti Ananda , Maulana Salman
Published: November 2021

Maraknya café sebagai tempat berkumpul dan bersosialisasi sudah menjadi hal yang lumrah bagimasyarakat kota Jakarta. Salah satu café yang menjadi tempat favorit bagi kaum milenial diantaranya adalahJCo , Fasilitas yang penting yang ada di JCo café adalah fasilitas duduk, karena fasilitas duduk merupakanpoin penting didlam sebuah café. Sebagian besar waktu para pengunjung yang dating dihabiskan untukduduk di fasilitas duduk / stool yang disediakan. Namun keterbatasan ruang dan tempat yang ada pada saatini biasanya tidak terlalu besar, sehingga dibutuhkan stool yang memiliki system knockdworn agara apabilastool sudah tidak diperlukan dapat dengan mudah dilepas dan disimpan dengan rapi dan hemat tempat. Untuk itulah penelitian yang berjudul “Perancangan Stool Dengan Sistem KnockDown Bagi PengunjungCafé JCo” dibuat, dengan tujuan untuk memberikan masukan dan menciptakan sebuah produk alternatifyang mampu menciptakan sebuah peluang usaha nantinya, sehingga para desainer terus ber inovasi untukmengembangkan produk yang inovatif dengan menerapkan material yang tepat sebagai solusi strategidesainer dalam menciptakan sebuah produk. Manfaat penelitian ini untuk menjadi referensi baik bagi parapelaku usahan maupun bagi para desainer sebagai referensi alternativ produk yang ada sesuai dengan targetkonsumennya, pada kasus ini adalah café JCo.
Informing Policy from Prices: An Overview of California Nursing Homes
Authors: El Hajj Karen
Published: November 2021

Introduction: The rising cost of healthcare along with the aging demographic requires the attention of policy makers. The United States’ nursing home industry is costly to older adults, requiring many to resort to government funded Medicare to offset these costs. This study aims to understand determinants of nursing home prices in the state of California. Variables included in the analysis are selected based on previous literature on the costs of nursing homes in the US.

Methods: The data were analyzed using a multi-variable regression analysis. The analysis sample included 1,121 nursing homes across California, using facility level and governmental data that is publically available for the years of 2016-2017. Data collected included financial indicators (net income), ownership (for-profit, non-profit) represented as a dummy variable, occupancy rates, reimbursement rates (Medicare & Medicaid), staffing, quality and competition variables such as nursing homes per county.

Results: The regression analysis indicated that ownership type (for-profit), competition and occupancy rates have a negative significant effect on nursing home prices. Whereas, reimbursement rates of both Medicare and Medicaid, home income and staffing levels have a positive significant effect, driving further nursing home prices.

Conclusion: The study aimed to understand the relevant variables that influence nursing home prices in the state of Califronia. The regression analysis yielded significant results for various factors including reimbursement rates, occupancy rates and the number of nursing homes per county. However, a notable limitation to the study is the inability to generalize these factors to the rest of the US due to state specific health policies. Determinants such as reimbursement rates and nursing homes per county vary by governmental decisions, therefore, a comprehensive policy tool could be designed to alter nursing home costs through state health policies.
Reliability of Donor Lung Sampling in Lung Transplantation
Authors: Chao Bonnie T , Sage Andrew T , Cypel Marcelo , Liu Mingyao , Yeung Jonathan , Bai Xiaohui , Van Raemdonck Dirk , Ceulemans Laurens , Neyrinck Arne , Verleden Stijn , Keshavjee Shaf
Published: November 2021

Introduction: Ex vivo lung perfusion (EVLP) is a normothermic platform used to assess donor lungs. Many have studied biomarkers in lung injury, but it is unclear whether samples taken from one location are representative of the organ. Our objective was to investigate the uniformity of cytokine expression in tissue biopsies and in EVLP perfusates from various locations.

Methods: In the tissue study, eight donor lungs were partitioned from apex to base. In each lung, three biopsies were taken from the third, sixth, and ninth slices, while two were taken from the lingula and an injury site. In the perfusate study, four samples were taken from four lobes in eight donors during EVLP. Expressions of IL-6, IL-8, IL-10, and IL-1β were measured using qPCR and ELISA.

Results: In the tissue study, the mean intra-biopsy equal-variance F-value was 0.53. The median intra-biopsy coefficient of variation (CV) was 18%. In donors without gross focal injury, the mean comparisons of biopsies in each donor showed that the three consistent slices showed no differences and had a CV of 20%, which was similar to the intra-biopsy CV (p=0.80). Both the lingula and injury biopsies demonstrated larger differences from the rest. The median intra-lung CV of perfusates from different lobes was 4.9%.

Conclusion: Intra-biopsy variances were consistent across biopsies. Lungs without gross focal injury demonstrated more consistent gene expression. The lingula is not a representative site due to high signal variability. The consistent measurements in EVLP perfusates provided a uniform picture of the inflammation.
Current diesel engine exhaust exposure in the Ontario construction industry
Authors: Ziembicki Stephanie , Kirkham Tracy L , Demers Paul A. , Peters Cheryl E. , Gorman-Ng Melanie , Davies Hugh W. , Tenkate Thomas , Kalenge Sheila , Blagrove-Hall Nicola , Jardine Kate , Arrandale Victoria H.
Published: November 2021

Introduction: Diesel engine exhaust (DEE) is a known carcinogen and a common occupational exposure in Canada, particularly within construction. The use of diesel-powered equipment in the construction industry is widespread, but little is known about DEE exposures and occupational disease in this work setting. The objective of this study was to characterize and identify key determinants of DEE exposure at construction sites in Ontario.

Methods: Diesel particulate matter (DPM) measurements were taken from workers employed on seven infrastructure construction worksites in Ontario. Full-shift personal air samples were collected from workers using a constant-flow pump and SKC aluminum cyclone with 37-mm quartz fibre filters in an open-faced cassette. Samples were analyzed for elemental carbon (EC), a surrogate of DEE exposure, following NIOSH method 5040. Exposures were compared to recommended health-based limits, including the Dutch Expert Committee on Occupational Safety (DECOS) limit (1.03µg/m3 respirable EC) and the Finnish Institute of Occupational Health (FIOH) recommendation (5µg/m3 respirable EC). A determinants of exposure model was constructed.

Results: In total, 126 DPM samples were collected, ranging from <0.47-52.58µg/m3 with a geometric mean (GM) of 4.23µg/m3 (geometric standard deviation (GSD)=3.05). Overall, 44.8% of samples exceeded the FIOH limit, mostly within underground worksites (93.5%), and 88.8% exceeded the DECOS limit. Underground workers (GM=13.20µg/m3, GSD=1.83) had exposures approximately 4-times higher than below grade workers (GM=3.56µg/m3, GSD=1.94) and 9-times higher than aboveground workers (GM=1.49µg/m3, GSD=1.75). Work grade, enclosed cabs, and seasonality were identified as the major determinants of exposure.

Conclusions: This study provides a better understanding of current DPM exposure in Canadian construction. Most exposures were above recommended health-based limits, signifying a need to further reduce DPM levels in construction. These results can inform a hazard reduction strategy including a new occupational exposure limit and targeted intervention/control measures to reduce DPM exposure and the burden of occupational cancer.
Conocimientos, hábitos, niveles de confianza para la resolución de problemas matemáticos en los estudiantes de pedagogía
Authors: Hidalgo Portocarrero Gonzalo Efrén , Merino Córdova Patricio Alejandro , Estupiñan Cox Byron Fabricio , Tapia Aguilar Omar Edison
Published: November 2021

Introducción. La Matemática es una de las disciplinas que incluyen una serie de contenidos que en muchas ocasiones resultan de difícil comprensión para los estudiantes, obstaculizando su aprendizaje, y la adquisición de habilidades y destrezas que son necesarias en su vida académica y en toda clase de contextos socio-educativo. Objetivo. Analizar los conocimientos, hábitos y niveles de confianza para la resolución de problemas matemáticos en los estudiantes de la Carrera de la Pedagogía de las Ciencias Experimentales de la Matemática y la Física en la Universidad Técnica “Luis Vargas Torres” de Esmeraldas. Metodología. Tiene un enfoque cuantitativo, se aplica una investigación bibliográfica, de campo y analítica. El método implementando es el deductivo, la muestra utilizada corresponde a 45 estudiantes pertenecientes a la carrera de la Pedagogía. Resultados. Los resultados obtenidos concluyen que los conocimientos, hábitos y niveles de confianza influyen en la resolución de problemas matemáticos en este grupo de estudiantes; esto se debe a que los saberes matemáticos previos que el estudiante posee, le permiten abordar estratégicamente el problema que se necesita solucionar, mientras que los hábitos contribuyen con el desarrollo de habilidades y destrezas necesarias en esta actividad, así mismo el nivel de confianza puede contribuir en la resolución de problemas matemáticos, pues, sí el estudiante se siente calmado y confía en sus capacidades demuestra una actitud positiva para desarrollar esta actividad en beneficio de su propia formación personal y académica. Conclusión. Se concluye que los conocimientos, hábitos y niveles de confianza influyen en la resolución de problemas matemáticos en los estudiantes de la Carrera de la Pedagogía las Ciencias Experimentales de la Matemática y la Física de la Universidad Técnica “Luis Vargas Torres”.
Participación empresarial en el mercado bursátil: un análisis del crecimiento económico en el Ecuador
Authors: Aimacaña-Chingo Luis , Chacha-Caiza Marylin , Caicedo-Atiaga Francisco
Published: November 2021

El mercado de valores es una alternativa de financiamiento e inversión reconocido por su contribución a la economía mundial, sin embargo, en Ecuador, este espacio es poco desarrollado y por ende mantiene una participación institucional baja en comparación al volumen empresarial nacional. El objetivo de la presente investigación fue analizar influencia de la participación empresarial dentro del mercado de valores nacional sobre el crecimiento económico del país en el periodo 2017-2020. Se usó el método de mínimos cuadrados ordinarios para examinar la dependencia entre la variabilidad del PIB, educación financiera, ecuindex, montos negociados y productividad empresarial. Los resultados mostraron una relación no significativa entre el crecimiento económico nacional y la emisión de activos financieros, siendo la educación financiera la variable que más influyó en el modelo, pero en menos del 2%. Se concluyó que la emisión de activos financieros del mercado de valores no contribuye significativamente a la economía nacional.
Socioenvironmental influences of the sustainable management of Cascavel river watershed
Authors: Silva Bruna Pereira da , Cruz Maurício Ivan , Frigo Elisandro Pires , Villa Bruna de , Giomo Diogo , Tosin Gladis Aparecida Sandi , Mello Willian Silva , Tokura Luciene Kazue , Rodrigues Hamom Ventura , Caon Ivã Luis
Published: November 2021

The city of Cascavel-PR has shown, over the years, an accelerated population growth in the urban area, thus increasing environmental problems and exposing the deficiencies in public policies for basic sanitation and the environment. In order to minimize the environmental impacts of these areas, a correct management of the watershed is necessary. The objective of this study was the analysis of how population growth in the watershed region has impacted its disposition as an integral part of the environment and the society within its limits. Through that, establishing quantitative and qualitative parameters of the different aspects of the watershed and its impacts within the city. In order to verify these characteristics, two different analyses were used, relating the morphometric characteristics of the Cascavel river’s watershed, with the data of the Secretaria de Planejamento e Urbanismo - SEPLAN. The city population, according to the last Census, was around 286.172 inhabitants. The sewage service attends about 83% of the population and the pavement with asphalt in the roads reaches close to 93%. However, although public policies have improved the quality of life of the population, there was a lack of maintenance and a significant amount of siltation near the municipal lake. This region is critical for the watershed because it is its source and the presence of impacts of this order may not only affect the watershed, but also damage the sustainable development of society and the environment during the next years.
Evolução da estratégia Saúde da Família e sua influência nos indicadores da Atenção Básica em Saúde no Estado de Mato Grosso
Authors: Fonseca Juliane Ferreira Andrade da , Liberal Márcia Mello Costa de , Varela Patrícia Siqueira , Zucchi Paola
Published: November 2021

Este estudo teve como objetivo correlacionar os indicadores de Atenção Básica em Saúde nos seus componentes de estrutura com os de processo e também com os resultados nos municípios de Mato Grosso, de 2008 a 2015. Trata-se de uma pesquisa avaliativa, quantitativa, retrospectiva com uso de dados secundários oriundos dos sistemas de informações. Foi construída uma matriz composta por componentes da estrutura (cobertura populacional potencial), do processo (consulta médica, visita domiciliar de médico e enfermeiro, encaminhamento à especialista e solicitação de exames de patologia clínica) e do resultado (taxa de internação por causas sensíveis a atenção básica, pela proporção de nascidos vivos de mães com sete ou mais consultas de pré-natal e pelo coeficiente de mortalidade infantil) e foi feita a análise descritiva e coeficiente de Correlação de Spearman (rho). O estudo apontou que a cobertura populacional manteve alta, acima de 83% e os indicadores de processo sugerem uma melhora da estratégia saúde da família, com redução de 63,13% na média de encaminhamento à especialista e de 49,71% na solicitação de exames de patologia clínica. Porém, houve uma redução de 7,13% na média de visita domiciliar no período estudado. Existe correlação entre o componente de estrutura e processo e entre estrutura e resultado. Verificou-se que, com a evolução da Estratégia Saúde da Família, ocorreram alterações em alguns indicadores da atenção básica, entretanto, não é possível afirmar que houve mudança no modelo assistencial.
Oil removal from oil/water emulsion by Zeolitic Imidazolate Framework-8 (ZIF-8): A study of pH, and adsorption kinetic
Authors: Barbosa Thianne Silva Batista , Barros Thiago Rodrigo Barbosa , Barbosa Tellys Lins Almeida , Rodrigues Diogo Pierre Alves , Rodrigues Meiry Gláucia Freire
Published: November 2021

Most traditional methods are only used to remove free oil from wastewater, and they are not efficient for separating oil-water emulsions. The adsorption separation process can be widely applied for the treatment of emulsions, mainly due to the cost and benefit of the process and the wide variety of materials that can be used as adsorbents, for example activated carbon, clays, zeolites, etc. Among the various types of porous materials called "Metal Organic Frameworks" (MOFs) are the zeolitic imidazolate (ZIFs) structures. The zeolitic structure of the ZIFs allows to exhibit high surface areas and thus to be promising adsorbents. To evaluate the adsorption capacity of ZIF-8 in the removal of emulsified oil, ZIF-8 was synthesized using Zn metal and as organic binder 2-methylimidazole (Hmim), dissolved in methanol at room temperature. ZIF-8 was characterized by X-ray diffraction (XRD) technique to determine the crystalline structure. To evaluate the capacity of the emulsified oil, a pH-influence test and chemical kinetics were determined. The best pH of the emulsion for removal was pH 6. The chemical kinetics performed at pH 6 presented the best fit with the pseudo-second model with correlation coefficient 0.93. According to the kinetic data, a removal percentage of 92.43% was found with only 30 min of removal.