bluuebunny/crossref_metadata_2025 huggingface dataset:
Reverse Supply Chain for Sustainable Growth Remanufacturing Perspective
Authors:   M.E Production Engineering, Thiagarajar College of Engineering, Madurai and Ph.D. in Mechanical Engineering from Anna University, Tamilnadu, India., Sudhakara N. , K Balasubramanian. ,   M.E Production Engineering, Thiagarajar College of Engineering, Madurai and Ph.D. in Mechanical Engineering from Anna University, Tamilnadu, India.
Published: September 2020

Reverse logistics refers to set of all procedures affiliated with reuse of various commodities and its ingredients. This article is predominantly concerned with various principles of reverse logistics, various activities comprehended with remanufacturing process, necessity of reverse logistics in India and various types of flows that reverse logistics deals with. Limited forecasting & planning, inadequate information & technical systems, shortage of pertinent attainment administration entity are the major barriers to reverse logistics system. However due to economic benefits there is a necessity for companies to adequately manage their strategies.
IoT Based Low Cost and Ageing Healthcare Monitoring System
Authors:   M. Tech, CBIT, Osmania University Hyderabad, India., Sree K. Navya , Rao G. Mallikharjuna ,   Department of ECE, Osmania University, Hyderabad, India.
Published: September 2020

The world's older population needs social care, healthy life, and assistive living. The health consciousness, persons care are major challenges for both researchers and industry. Health monitoring systems afford alternatives to the traditional supervision of aged patients. To reduce admissions to hospital for treatment and the cost of recognized health care. To enable disease prevention and associated lifestyle changes. Therefore, the technology has to play a key role to achieve the aspiration. In order to achieve the real-time intensive care challenge of an individual's health, early interventions and identifying the health conditions are required. In this paperwork, it is proposed to have the knowledge as soon as it causes a heart attack, it is the first step to prevent heart attack or stroke. Usually the fixed health monitoring systems are available only when the patient is lying on the bed in the hospital. This project showcases the implementation of the heartbeat, respiration, blood pressure check, pulse rate, and temperature sensing interfaced to ESP8266. This system development is for the patient at home need to be monitored by family doctor in emergency. Here, the real time patient health information is updated onto the cloud continuously. The data is for further analysis and to monitor the status of health information is retrieved to home devices and to a family doctor in critical conditions. Thus, the system can run effectively and brings a cost-effective design and implementation of data acquisition and manipulation.
Early diagnosis and Prediction of Breast Cancer
Authors:   Student, Department of Computer Science & Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka, India., R Gagana B , C Shraddha ,   Assistant Professor, Department of Computer Science & Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka, India., T Chethana H ,   Assistant Professor, Department of Computer Science & Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka, India
Published: September 2020

Nowadays Cancer is one of the frequent diseases for all the humans in the world. Particularly, in women’s Breast Cancer is one of the most frequent diseases. Therefore, early detection and prevention of cancer is very important to get healthy life so we need to develop new techniques for diagnosis and prediction of cancer. Many ML techniques are used for early diagnosis and prediction of cancer. In this paper, we are proposing new techniques for the classification of Breast cancer and the time prediction when that breast cancer has occurred using some ML techniques and our proposed work is medical sector application. We compared our proposed methodology result with each other techniques to get the highest accurate value.
Women’s Safety Security System using Raspberry PI
Authors:   Department of Computer Science Engineering, Hindustan Institute of Technology and Science Chennai, India., Punnoose Dinah , S Sivasankari. ,   Department of Computer Science Engineering, Vellore Institute of Technology, Vellore, India., Venkatesh K. ,   Department of Computer Science Engineering, Vellore Institute of Technology, Vellore, India., Ashokd E. ,   Department of Computer Science Engineering, Vellore Institute of Technology, Vellore, India., Prashanth R. ,   Department of Computer Science Engineering, Vellore Institute of Technology, Vellore, India.
Published: September 2020

Today in the present global scenario, a woman's word of security and safe life is a tough reality to happen, because women's sexual abuse has become a mainstream news in our everyday routine life. We should create a society in which women can travel openly and even at odd hours not of fear. While there are many rules and laws present, they are insufficient to provide the women in society with the full degree of security, safe and stable life. When the technology advances every day, it is a solution to other problems. And why can't we use these to create a stable and prosperous women's community. This project composed of components such as GSM, GPS, memory card, shock circuit, buzzer, camera, module Raspberry pi-3.
Application of Rasch to Verify Different Building Competency Sub Constructs for Competency Evaluation of Graduates in Nigeria
Authors:   School of Technical Education, Plateau State Polytechnic, Barkin Ladi Nigeria, Jwasshaka Shirka Kassam , Amin Nor Fadila Moh’d ,   Faculty of Social Sciences, and Humanities, Technical and Engineering Education, University of Technology Malaysia
Published: September 2020

Incessant concerns from employers and private sectors about the incompetence of graduates in Nigeria call for the creation of an assessment tool that could verify their skills. But there is no clear generally accepted and validated assessment instrument available for evaluating graduate performance. The aim of this study was to develop a valid instrument for assessing competency levels of building construction graduates in Nigeria. Survey design was adopted to obtain expert opinions on the validity of the sub-constructs and the related items about the employers 'needs. Three experts from the academic, public, and private sectors subjected the survey instrument to face, content, and construct validity and reliability. The survey instrument, which was analysed using IBM SPSS and WINSTEP version 3.73.3 was answered by a total of 200 building experts selected by proportionate stratified sampling technique. The consistency of the instrument was determined by fit statistics and point measure correlation (PTMEA Corr), for construct validity. The results revealed a very good items and person reliability of 0.97 and 0.94 respectively. Likewise, appropriate PTMEA Corr range from 0.36 to 0.68. Infit and outfit means square range obtained between 0.58 to 1.39. The findings give students, employers and academic institution a realistic and theoretical interpretation of the reality of labour market needs.
E PAP Enhanced Priority Aware Protocol for Reliable Communication in Wireless Body Area Network
Authors:   Department of Computer Applications, Deenbandhu Chotu Ram University of Science and Technology, Murthal, Sonepat, Haryana, India., Sandhu Archana , Malik Amita ,   Professor and Chairperson, Department of Computer Science & Engineering, Deenbandhu Chotu Ram University of Science and Technology, Murthal, Sonepat, Haryana, India.
Published: September 2020

Wireless Body Area Network (WBAN) is a collection of miniaturized sensing nodes and coordinator nodes. These sensing nodes are placed in, on and around the body for uninterrupted monitoring of physiological data for medical applications. The main application carrier of WBAN is the human body and due to human body movement and physiological changes, the WBAN traffic fluctuates greatly. This network traffic fluctuation requires good network adaptability. In addition to traffic fluctuations, energy consumption is another key problem with WBANs as sensing nodes are very small in size. This paper design a reliable protocol by extending the MAC protocol for reducing energy consumption, PAP algorithm to decide data transmission rate and JOAR algorithm to select the optimize path for the data transmission. The performance of the algorithm outperforms other state of art algorithms to shows its significance.
Unpaired Image to Image Translation using Cycle Generative Adversarial Networks
Authors:   UG Student, Department of Information Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India., Dwarkani Abhinav , Jain Maitri ,   UG Student, Department of Software Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India., Thakkar Jash ,   UG Student, Department of Software Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India., Kottursamy Kottilingam ,   Associate Professor, Department of Information Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
Published: September 2020

In this burgeoning age and society where people are tending towards learning the benefits adversarial network we hereby benefiting the society tend to extend our research towards adversarial networks as a general-purpose solution to image-to-image translation problems. Image to image translation comes under the peripheral class of computer sciences extending our branch in the field of neural networks. We apprentice Generative adversarial networks as an optimum solution for generating Image to image translation where our motive is to learn a mapping between an input image(X) and an output image(Y) using a set of predefined pairs[4]. But it is not necessary that the paired dataset is provided to for our use and hence adversarial methods comes into existence. Further, we advance a method that is able to convert and recapture an image from a domain X to another domain Y in the absence of paired datasets. Our objective is to learn a mapping function G: A —B such that the mapping is able to distinguish the images of G(A) within the distribution of B using an adversarial loss.[1] Because this mapping is high biased, we introduce an inverse mapping function F B—A and introduce a cycle consistency loss[7]. Furthermore we wish to extend our research with various domains and involve them with neural style transfer, semantic image synthesis. Our essential commitment is to show that on a wide assortment of issues, conditional GANs produce sensible outcomes. This paper hence calls for the attention to the purpose of converting image X to image Y and we commit to the transfer learning of training dataset and optimising our code.You can find the source code for the same here.
A Metrics Based Fuzzy Logic Model for Predicting the Reusability of Object Oriented Software
Authors:   Department of Information Technology, Murang’a University of Technology, Murang’a, Kenya., Onyango Kevin Agina , Muketha Geoffrey Muchiri ,   Department of Computer Science, Murang’a University of Technology, Murang’a, Kenya., Micheni Elyjoy Muthoni ,   Department of Management Science and Technology, The Technical University of Kenya, Nairobi, Kenya.
Published: September 2020

Software reusability facilitates the engineering of new software or systems functionalities without having to start coding from scratch. This software quality provides numerous merits to the software developers including coming up with larger systems within a short time, with reduced development cost and reduced developer effort. However, software reusability is an external software quality attribute that is not measurable directly, and this is a major hindrance factor to its adoption in the software engineering process. This indicates that there is a need to come up with an approach to measure or predict software reusability to give advisories to the software developers on the prediction of software reusability. Therefore, this study aims at coming up with a prediction model to estimate software reusability by employing the use of a fuzzy logic approach, the study focused on Object-Oriented software. The research followed a guideline of four objectives and assumed descriptive and diagnostic methodology. It started by considering the existing ISO/IEC 25010 software quality model to determine and describe the main factors affecting the reusability of Object-Oriented software. The main factors identified were Abstraction, Cohesion and Coupling, thereafter, it was followed by the definition of metrics to measure each of the three factors identified, to operationalize these metrics, they were then validated using Weyuker’s nine properties. After this, the researchers developed a metrics tool to automate the process of computing the metrics values of the defined metrics. Finally, a fuzzy logic prediction model that predicts the reusability of Object-Oriented software was developed based on the metrics values computed by the metrics tool. This model was then validated using the Analytical Hierarchical Process (AHP) framework. The outcome of the four objectives was presented, discussed and future works of this study outlines. This research work is a contribution to the software development industry where the software developers can apply it to engineer reusable software.
Lignocaine use in respiratory viruses
Authors: Khan Tariq H. , Hammodi Amjid
Published: September 2020

Following the publication of the article entitled, ‘Lignocaine’s substantial role in COVID-19 management: potential remedial and therapeutic implications’, authored by Nasser Ali Malik, Amjid Hammodi and Dayanidhi Jaiswara, published in the Anaesthesia, Pain and Intensive Care; 21(1);59-63, 2020, I would like to suggest a revolutionary idea that could help control the spread of respiratory viruses from person to person, achieve potential prophylaxis against them and even could be used as a treatment for mild to moderately infected cases.
An approach towards data change rule based classification of driving maneuver with LSTM network
Authors: Sarker Supriya , Haque Md Mokammel
Published: September 2020

The proposed work develops a Long Short Term Memory (LSTM) model for multi class classification of driving maneuver from sensor fusion time series dataset. The work also analyzes the significance of sensor fusion data change rule and utilized the idea with deep learning time series multi class classification of driving maneuver. We also proposed some hypotheses which are proven by the experimental results. The proposed model provides Train Accuracy: 99.98, Test Accuracy: 97.2021, Precision: 0.974848, Recall: 0.960154 and F1 score: 0.967028. The Mean Per Class Error (MPCE) is 0.01386. The significant rules can accelerate the feature extraction process of driving data. Moreover, it helps in automatic labeling of unlabeled dataset. Our future approach is to develop a tool for generating categorical label for unlabeled dataset. Besides, we have plan to optimize the proposed classifier using grid search.
Blockchain and Technologies Matching with the Case of Study of Vegetables Production
Authors: Massaro Alessandro
Published: September 2020

Alessandro Massaro: Professor Alessandro Massaro (ING/INF/01, FIS/01,FIS/03) carried out scientific research

at the Polytechnic University of Marche, at CNR, and at Italian Institute of Technology (IIT) as Team Leader by activating laboratories for nanocomposite sensors for

industrial robotics. He is in MIUR register as scientific expert in competitive Industrial Research and social

development, and he is currently head of the Research and Development section and scientific director of MIUR Research Institute Dyrecta Lab Srl. Member of the International Scientific Committee of Measurers IMEKO and IEEE Senior member, recently received an award from the National Council of Engineers as Best Engineer of Italy 2018 (Top Young Engineer 2018).
FETHİYE-BURDUR FAY ZONU’NUN BURDUR-KOZLUCA ARASINDAKİ BÖLÜMÜNÜN NEOTEKTONİK ÖZELLİKLERİ, GB ANADOLU, TÜRKİYE
Authors: COŞKUNER Berkant , AKSOY Rahmi
Published: September 2020

Batı Anadolu genişleme bölgesinin doğu sınırını oluşturan Fethiye-Burdur Fay Zonu, güneyde Fethiye körfezinden başlayıp kuzeyde Çay’a (Afyon) kadar uzanan, yaklaşık 310 km uzunluğunda, KDGB gidişli sol yönlü doğrultu atım bileşenli oblik normal ve normal faylardan oluşan aktif bir fay zonudur. Bu çalışmanın amacını, zonun kuzeyinde Burdur-Kozluca arasında kalan bölümün jeolojik ve neotektonik özelliklerinin incelenmesi oluşturur. İnceleme alanının jeolojisini açısal uyumsuzluklarla birbirinden ayrılan Geç Triyas-Geç Kretase yaşlı temel kayaları, Geç Miyosen-Erken Pleyistosen yaşlı eski havza çökelleri ve Kuvaterner yaşlı genç havza çökelleri teşkil eder. Eski havza çökelleri deformasyon geçirmiş göl ortamında çökelmiş sedimanter bir istifi içeren Burdur formasyonu ile alüvyal yelpaze çökellerini içeren Tefenni formasyonundan oluşur. Genç havza çökelleri deformasyon geçirmemiş olan alüvyal yelpaze, asılı teras ve güncel akarsu sedimanlarından oluşur. Fethiye-Burdur Fay Zonu’nun çalışma alanı içerisindeki en önemli yapısal unsurları KD-GB uzanımlı Burdur Havzası ile bu havzayı sınırlayan sol yanal oblik normal Burdur ve Karakent faylarıdır. Günümüz Burdur Havzası’nın gelişiminde önemli rol oynayan büyük ölçekli bu fayların yanı sıra, inceleme alanında KD-GB ve KB-GD uzanımlı sol yanal oblik normal ve normal faylar ile Geç Miyosen- Pliyosen yaşlı çökeller içerisinde KD-GB, KB-GD ve K-G gidişli küçük ölçekli normal faylar da gelişmiştir. Yapısal analizler, bölgenin günümüzde KB-GD yönlü gerilme rejiminin hâkimiyetinde olduğunu göstermektedir.
PERFORMANCE EVALUATION OF AFYON GEOTHERMAL POWER PLANT WITH LOW GRADE ENERGY SOURCES
Authors: YILMAZ Ceyhun
Published: September 2020

Exergoeconomic performance evaluation of 2700 kW binary cycle design geothermal powerplant in western Turkey is conducted using actual plant operating data, and potential improvements areidentified. Afyon Geothermal Power Plant is thermodynamically modeled in a computer environmentusing current working parameters in a comprehensive way for the use of geothermal energy in electricitygeneration. To simulate the plant during thermodynamic conditions with exergoeconomic analysis, theEngineering Equation Solver (EES) software is used. Geothermal water temperature and mass flow rateof the plant are 110°C, and 150 kg/s, respectively. Energy and exergy efficiencies of the plant are calculatedas 10.4%, and 29.7%. The potential annual revenue of geothermal electricity is calculated to be 2,880,277$/yr. The exergetic cost of the electricity from the plant is calculated as 0.0233 $/kWh, respectively.
EĞİK ÇATLAK İÇEREN ÇELİK PLAKANIN YORULMA DAVRANIŞININ FARKLI HASAR MODELLERİYLE TAHMİNİ
Authors: DEMİR Oğuzhan
Published: September 2020

Çoğu mühendislik yapı ve uygulamalarında malzeme, imalat yöntemi, çevresel faktörler veya yapıyaetkiyen yükleme türleri gibi birçok parametreden kaynaklı çatlak veya kırılma problemleri ilekarşılaşılmaktadır. Özellikle yüksek teknoloji gerektiren ve Ar-Ge harcamalarının yüksek olduğu bazıkritik yapılarda ise, bu problemler çok büyük bir sorun haline gelebilmektedir. Yapıda bulunan buçatlaklar bazen emniyetli bir boyuta kadar yapının içerisinde kalabilmekte veya bazen ani bir kırılma ilebüyük maddi hasarlara, hatta bazı durumlarda ciddi can kayıplarına da neden olabilmektedirler. Bu türolumsuz durumların önüne geçmek için, yapıda var olan çatlaklar ile yapının fonksiyonunu ne kadar süreile güvenli bir şekilde devam ettirebileceğinin, bir başka deyişle hasarlı yapının emniyetli kalan ömrününtespiti için kırılma parametrelerinin hassas ve doğru bir şekilde hesaplanması gerekmektedir. Ayrıca farklıyükleme koşulları altında hasarlı yapının nasıl davranacağının bilinmesi ve tasarım aşamasında budurumlar göz önünde bulundurularak tasarımda iyileştirmeye gidilmesi, oluşması muhtemel hasarlarıminimize etme imkanı sunmaktadır. Bu çalışmada, karışık modlu yüklere maruz çatlaklı yapıların kırılmave çatlak ilerleme davranışının tahminine yönelik olarak yakın zamanda geliştirilmiş olan Demir ve Ayhanhasar modelinin uygulanabilirliği literatürdeki mevcut hasar modelleri ile birlikte değerlendirilmiştir.Alüminyum malzeme kullanılarak farklı geometri ve boyutlara sahip test numuneleri ile geliştirilen Demirve Ayhan hasar modelinin çelik numuneler için de kullanılabilir ve uygulanabilir olduğu gösterilmiştir.
ÖSTENİTLEME SICAKLIĞININ EN-GJS-600-3 KÜRESEL GRAFİTLİ DÖKME DEMİRİN ÖSTEMPERLENME DAVRANIŞINA ETKİLERİNİN ARAŞTIRILMASI
Authors: KONCA Erkan , TUR Kazım
Published: September 2020

Bu çalışmada östenitleme sıcaklığının EN-GJS-600-3 (GGG-60) küresel grafitli dökme demirinöstemperlenme davranışına etkisi araştırılmıştır. Y bloklarına dökülen % 0,5 Cu alaşımlı EN-GJS-600-3küresel grafitli dökme demirden çıkarılan numuneler kullanılarak iki farklı östenitleme sıcaklığı (850 ve950°C) ve iki farklı östemperleme sıcaklığının (290 ve 320°C) dört ayrı kombinasyonunda östemperlemedeneyleri yapılmıştır. Östemperleme deneyleri sonrası numunelerin sertlik ölçümleri, çekme testleri ve içyapı incelemeleri gerçekleştirilmiştir. Her iki östemperleme sıcaklığında da 950°C’de östenitlenmişnumunelerde 850°C’de östenitlenmiş numunelere göre daha yüksek sertlik, akma ve çekme dayanımıdeğerlerine ulaşılmıştır. Bu sonuçlar, 950°C’de yapılan östenitlemenin 850°C’ye göre östenit matris içindehem daha çok karbonun çözünmesini hem de östenitin daha iri taneli olmasını sağlayaraköstemperlenmeye daha elverişli östenit yapısı oluşturabilmesiyle ilişkilendirilmiştir.
IMPROVED SOCIAL SPIDER ALGORITHM FOR MINIMIZING MOLECULAR POTENTIAL ENERGY FUNCTION
Authors: BAŞ Emine , ÜLKER Erkan
Published: September 2020

The social spider algorithm (SSA) is a new heuristic algorithm created on spider behaviors to solve continuous optimization problems. In this study, SSA is used in order to minimize a simplified model of the energy function of the molecule. The Molecular potential energy function problem is one of the most important real-life problems. The Molecular potential energy function problem attempts to predict the 3D structure of a protein. SSA is developed by various techniques (Crossover-mutation and Gbest convergence-silent spider techniques) and SSA is called Improved SSA (ISSA). By these techniques, the exploration and exploitation capabilities of SSA in the continuous search space are improved. The general performances of SSA and ISSA are tested on low-scaled and large-scaled thirteen benchmark functions and obtained results are compared with each other. Wilcoxon signed-rank test is applied to SSA and ISSA results. Then, the general performance of the SSA and ISSA is tested on a simplified model of the molecule for different dimensions. Also, the performance of the ISSA is compared to various state-of-art algorithms in the literature. The results showed the superiority of the performance of ISSA.
Visum et Repertum as Evidence for Criminal Acts in Domestic Violence
Authors: Raharjo Jatmiko , Syamsuddin Muchtar  , Audyna Mayasari Muin
Published: September 2020

The aim of the study is to determine the application of Visum et Repertum as evidence for criminal acts in domestic violence. This study was empirical legal research. The location of this study was conducted in Kejaksaan Negeri Klaten. The result of the research showed that as proof of domestic violence with evidence Visum et Repertum was one of the law enforcements oriented to realize for legal certainty and protection of victims in proving the occurrence of criminal acts in domestic violence. The lack of evidence bothers the process of law enforcement, regarding requirements to determine the victim provided at least two evidence and for the judges to decide on criminal cases with valid evidence at least can be avoided by using Visum et Repertum. The obstacles to prove the evidence for criminal acts in domestic violence with Visum et Repertum includes the differences of understanding among law enforcement officials about the use of Visum et Repertum for criminal acts in domestic violence.
Proses Pembelajaran Inquiry Siswa MI untuk Meningkatkan Kemampuan Matematika
Authors: Ratnasari Khurin In
Published: September 2020

Penelitian ini untuk mengetahui peningkatan kemampuan matematika dalam materi pecahan setelah diterapkan model pembelajaran Inquiry di kelas VI MI Al-Islammiyah Kedungrejo. Jenis penelitian ini adalah penelitian eksperimen, dengan desain yang digunakan adalah one group pretest-posttest design. Pengumpulan data dilakukan dengan tes yang berbentuk essay sebanyak 7 soal, lembar observasi dan angket untuk mengukur kemampuan berpikir kritis siswa. Berdasarkan uji-t pada taraf signifikan α = 0,05 terhadap data posttest diperoleh thitung > ttabel yaitu 20,36 > 2,056 yang berarti Ho ditolak dan Ha diterima. Dengan demikian hipotesis yang diajukan diterima kebenarannya. Peningkatan nilai gain score mencapai 0,59 dengan kategori sedang. Jadi, berdasarkan perhitungan tersebut maka dapat disimpulkan bahwa model pembelajaran Inkuiri dapat meningkatkan kemampuan matematika (Pecahan) VI MI Al-Islammiyah Kedungrejo
Model Pendidikan Karakter Untuk Anak Usia Dini Perspektif Qs. Luqman Ayat 12-19
Authors: Balqis Rizqiyah Ratu
Published: September 2020

Basically, the values of education contained in the QS Luqman verses 12-19, are the values of character education, including: monotheism, gratitude, patience, amar ma`ruf nahi mungkar, religious education, and honesty. The wise character (wisdom) is found in Luqman's educational interaction model with his child and between his family. The dominance of this wise nature underpins the interaction of education carried out to his children. The wise attitude of Luqman is directed at the effort to form characters (children) into human beings, that is, having good character and virtuous characterKeyword : Model, Pendidikan Karakter, QS Luqman ayat 12-19
Peran Kepemimpinan Kiai di Pendidikan Pesantren dalam Menghadapi Revolusi Industri 4.0
Authors: Sulaiman Sulaiman , Asnawan Asnawan
Published: September 2020

This paper discusses the role of the kiai's leadership in pesantren education in an effort to strengthen the Industrial Revolution 4.0 industry. Pesantren is an ideal education system that attempts to provide education to the community to develop the existing potential, because pesantren santri in pesantren are not only given religious knowledge, santri are also taught to live independently, have character and innovate through pesantren activities. The pesantren is one of the institutions of Islamic education that will produce a generation of Indonesians into 'ulama', Muslim scholars and generations who have national character and morality. In the current era of information technology development, learning approaches have experienced rapid development that can change people's mindsets. The availability of information technology that is connected to the internet makes it easy for everyone to access science. So that pesantren must also be able to actualize these developments by developing pesantren curricula that are in accordance with the needs of the times. Then what is the role of pesantren in facing the development of globalization, what strategies are suitable in dealing with generations of the millennial era.
Simulasi Monte Carlo dalam Memprediksi Tingkat Lonjakan Penumpang (Studi Kasus di PT. Tri Arga Travel)
Authors: Mardiati Dina , Defit Sarjon , Nurcahyo Gunadi Widi
Published: September 2020

Tri Arga Travel is a company engaged in transportation services. The company really prioritizes the quality of service to consumers. So that on holidays there is usually a surge in passengers that cannot be predicted by the company. This greatly affects service to passengers. The purpose of this research is to predict the surge rate of PT. Tri Arga Travel, making it easier for the leadership of PT. Tri Arga Travel to take a policy when there is a surge in passengers in the future. The data used in this study is data on the number of passengers in 2017, 2018, and 2019 with the aim of padang-perawang. Then, the data is processed using the Monte Carlo method. The Monte Carlo method is a simulation method that uses random numbers obtained from the Linear Congruential Generator (LCG) to predict the rate of passenger spike in the following year by utilizing the previous year's passenger data. The results obtained from testing the Monte Carlo simulation can be seen that in July it is predicted that there will be a surge in passengers with an average level of accuracy of 86.74%. With a fairly high level of accuracy, the application of the Monte Carlo method can be used as a recommendation to predict the level of passenger spikes and also help in improving services to prospective passengers of PT. Tri Arga Travel.
TINGKAT PENGETAHUAN ANTIBIOTIK DI DESA NGLIPAR LOR RT 02/RW03, NGLIPAR, GUNUNGKIDUL
Authors: Sri Dadi Wiharti  , Vitenza Pramudhitasari Nuruddin
Published: September 2020

Antibiotik merupakan obat yang paling banyak digunakan pada infeksi yang disebabkan oleh bakteri,namun di lapangan masih banyak ditemukan bahwa juga digunakaan untuk mengobati penyakit yang disebabkan oleh virus. Intensitas penggunaan yang tinggi dapat menimbulkan resistensi bakteri terhadap antibiotik. Tujuan penelitian ini adalah untuk mengetahui tentang tingkat pengetahuan masyarakat tentang penggunaan antibiotik di desa Nglipar Lor RT02/RW03.    Jenis penelitian yang dilakukan adalah penelitian non-eksperimental yang tergolong dalam penelitian deskriptif kualitatif.Teknik pengambilan sampel dalam penelitian ini yaitu secara purposive menggunakan kuisioner.Jumlah populasi yang digunakan dalam penelitian ini adalah 40 orang.Variabel yang akan diteliti adalah berdasarkan usia, jenis kelamin, dan tingkat pendidikan dari warga.    Berdasarkan jenis kelamin, antara laki-laki dan perempuan yang memiliki pengetahuan baik tentang penggunaan antibiotic adalah perempuan. Berdasarkan usia warga, tingkat pengetahuan yang baik terdapat pada range usia antara 25-50 tahun, Berdasarkan tingkat pendidikan, tingkat pengetahuan baik didapatkan dari warga dengan latar belakang pendidikan lulusan SMA dan SMK. Dari ketiga variable penelitian tersebut didapatkan hasil bahwa warga desa Nglipar Lor RT 02/RW03 memiliki pengetahuan yang baik dan mengerti tentang penggunaan antibiotic dengan baik dan benar.
UJI AKTIVITAS ANTIBAKTERI DARI EKSTRAK ETANOL DAUN ALPUKAT (Persea americana Mill.) TERHADAP BAKTERI Salmonella typhi DAN Staphylococcus aureus
Authors: Azzahra Fara , Arefadil Almalik Elvan , Atkha Sari Atmi
Published: September 2020

Daun alpukat merupakan salah satu tanaman yang dapat digunakan sebagai antibakteri. Kandungan kimia flavonoid, alkaloid, tanin dan saponin berpotensi menghambat pertumbuhan bakteri. Penelitian ini bertujuan untuk mengetahui aktivitas antibakteri ekstrak etanol daun alpukat terhadap bakteri S. thypi dan S.aureus.    Pengujian aktivitas antibakteri ekstrak etanol daun alpukat dilakukan menggunakan konsentrasi 20%, 40%, 60%, 80% dan 100%, kelompok kontrol positif siprofloksasin, kontrol negatif aquadest steril, serta kontrol pelarut etanol dengan metode difusi cakram. Setiap perlakuan diinokulasikan dengan suspensi bakteri kemudian ditetesi ekstrak etanol daun alpukat, diinkubasi pada suhu 37°C selama 24 jam, diamati dan diukur zona bening disekitar kertas cakram. Hasil yang diperoleh dianalisis berdasarkan Clinical and Laboratory Standards (CLSI).    Ekstrak etanol daun alpukat konsentrasi 100% menunjukkan aktivitas antibakteri terhadap S.aureus sebesar 10,68 ± 0,43 mm, sedangkan pada konsentrasi 20%, 40%, 60%, 80% dan 100% terhadap S.typi berturut-turut 8,50 ± 0,38 mm; 7,45 ± 1,03 mm; 9,35 ± 0,20; 9,23 ± 0,08 mm dan 9,44 ± 0,36 mm, kontrol negatif terhadap S. typhi dan S.aureus masing-masing sebesar 0 ± 0 mm dan 0 ± 0 mm, kontrol positif siproflokasin terhadap S. typhi dan S.aureus masing-masing sebesar 25,92 ± 0,30 mm dan 26,10 ± 0,20 mm. Zona hambat Ekstrak etanol daun alpukat terhadap pertumbuhan bakteri S.typhi dan S.aureus menunjukkan kategori antibakteri resisten. Zona hambat siprofloksasin menunjukkan kategori antibakteri intermediat pada bakteri S.typhi dan sensitif pada bakteri S.aureus, artinya memiliki potensi menghambat bakteri S.typhi dan S.aureus.  Berdasarkan hasil penelitian dapat disimpulkan bahwa ekstrak etanol daun alpukat memiliki aktivitas menghambat bakteri S.typhi dan S.aureus, namun potensinya dalam menghambat S.typhi dan S.aureus tidak sebanding dengan siprofloksasin.
POTENSI DAUN ASAM JAWA (Tamarindus indica L.) SEBAGAI ALTERNATIF ANTIINFLAMASI: STUDI IN SILICO
Authors: Yunita Erma , Fatimah Siti , Yulianto Deni , Trikuncahyo Vedy , Khodijah Zihan
Published: September 2020

Daun asam jawa (Tamarindus indica L.) merupakan tanaman yang memiliki banyak khasiat. Kandungan senyawa kimia yang terkandung salah satunya Kuersetin. Kuersetin merupakan senyawa flavonoid yang dapat digunakan sebagai anti inflamasi. Penelitian ini bertujuan untuk mengetahui potensi aktivitas Kuersetin dari daun asam jawa sebagai anti inflamasi terhadap protein COX-1 dan COX-2 secara in silico. Ekstrak daun asam jawa diperoleh dengan maserasi bertingkat menggunakan heksan dan etanol. Kadar Kuersetinnya dihitung secara spektrofotometri UVVis. Konfirmasi aktivitas antiinflamasi dilakukan secara in silico. Protein yang digunakan adalah 6COX, 3PGH, dan 1EQH. Kuersetin sebagai senyawa aktif sedangkan Aspirin digunakan sebagai zat pembanding. Preparasi ligan Kuersetin menggunakan MarvinSketch kemudian preparasi protein target 6COX, 1EQH, dan 3PGH menggunakan YASARA. Selanjutnya melakukan molecular docking menggunakan program PLANTS. Parameter evaluasi validasi dapat dilihat dari nilai Root Mean Square Deviation (RMSD), dimana nilai RMSD yang diterima adalah kurang dari 2Å. Kadar Kuersetin yang diperoleh dalam ekstrak dalam daun asam jawa sebesar 31,26 mg/g. Hasil docking menunjukkan bahwa Kuersetin mampu berinteraksi dengan 1EQH, 3PGH, dan 6COX dimana skor dockingnya masing-masing adalah -77,6195; -75,1344; dan -82,2454, sedangkan hasil docking Aspirin masing-masing adalah -69,8784; -75,2421; dan - 72,0884. Kuersetin memiliki potensi sebagai anti inflamasi yang lebih baik dibandingkan dengan Aspirin namun memiliki resiko lebih tinggi menyebabkan ulkus lambung dibanding Aspirin.
Far Eastern Marine Reserve: from the day it was founded to the present
Authors: ГУЛЬБИНА А.А. , КЕПЕЛЬ А.А.
Published: September 2020

Приведены основанные на документах факты из истории и современной жизни Дальневосточного морского заповедника.
“Biota of the Russian waters of the Sea of Japan”: the history of the publishing project (2004-2014)
Authors: ЧЕРНЫШЕВ А.В.
Published: September 2020

Рассмотрены история издательского проекта Биота российских вод Японского моря с 2004 по 2014 г. и содержание 12 вышедших томов.

The history of the publishing project Biota of Russian Waters of the Sea of Japan from 2004 to 2014 and the contents of 12 published volumes are considered.
Convexity in Ordered Matroids and the Generalized External Order
Authors: Gillespie Bryan R.
Published: September 2020

In 1980, Las Vergnas defined a notion of discrete convexity for oriented matroids, which Edelman subsequently related to the theory of anti-exchange closure functions and convex geometries. In this paper, we use generalized matroid activity to construct a convex geometry associated with an ordered, unoriented matroid. The construction in particular yields a new type of representability for an ordered matroid defined by the affine representability of its corresponding convex geometry.

The lattice of convex sets of this convex geometry induces an ordering on the matroid independent sets which extends the external active order on matroid bases. We show that this generalized external order forms a supersolvable meet-distributive lattice refining the geometric lattice of flats, and we uniquely characterize the lattices isomorphic to the external order of a matroid. Finally, we introduce a new trivariate generating function generalizing the matroid Tutte polynomial.
Infinite Latin Squares: Neighbor Balance and Orthogonality
Authors: Evans Anthony B. , Martin Gage N. , Minden Kaethe , Ollis M. A.
Published: September 2020

Regarding neighbor balance, we consider natural generalizations of $D$-complete Latin squares and Vatican squares from the finite to the infinite. We show that if $G$ is an infinite abelian group with $|G|$-many square elements, then it is possible to permute the rows and columns of the Cayley table to create an infinite Vatican square. We also construct a Vatican square of any given infinite order that is not obtainable by permuting the rows and columns of a Cayley table.  Regarding orthogonality, we show that every infinite group $G$ has a set of $|G|$ mutually orthogonal orthomorphisms and hence there is a set of $|G|$ mutually orthogonal Latin squares based on $G$. We show that an infinite group $G$ with $|G|$-many square elements has a strong complete mapping; and, with some possible exceptions, infinite abelian groups have a strong complete mapping.
Gamma Positivity of the Descent Based Eulerian Polynomial in Positive Elements of Classical Weyl Groups
Authors: Dey Hiranya Kishore , Sivasubramanian Sivaramakrishnan
Published: September 2020

The Eulerian polynomial $A_n(t)$ enumerating descents in $\mathfrak{S}_n$ is known to be gamma positive for all $n$. When enumeration is done over the type B and type D Coxeter groups, the type B and type D Eulerian polynomials are also known to be gamma positive for all $n$.

We consider $A_n^+(t)$ and $A_n^-(t)$, the polynomials which enumerate descents in the alternating group $\mathcal{A}_n$ and in $\mathfrak{S}_n - \mathcal{A}_n$ respectively.  We show the following results about $A_n^+(t)$ and $A_n^-(t)$: both polynomials are gamma positive iff $n \equiv 0,1$ (mod 4). When $n \equiv 2,3$ (mod 4), both polynomials are not palindromic. When $n \equiv 2$ (mod 4), we show that {\sl two} gamma positive summands add up to give $A_n^+(t)$ and $A_n^-(t)$. When $n \equiv 3$ (mod 4), we show that {\sl three} gamma positive summands add up to give both $A_n^+(t)$ and $A_n^-(t)$. 

We show similar gamma positivity results about the descent based type B and type D Eulerian polynomials when enumeration is done over the positive elements in the respective Coxeter groups. We also show that the polynomials considered in this work are unimodal.
Permutations Avoiding a Simsun Pattern
Authors: Barnabei Marilena , Bonetti Flavio , Castronuovo Niccolò , Silimbani Matteo
Published: September 2020

A permutation $\pi$ avoids the simsun pattern $\tau$ if $\pi$ avoids the consecutive pattern $\tau$ and the same condition applies to  the restriction of $\pi$ to any interval $[k].$ Permutations avoiding the simsun pattern $321$ are the usual simsun permutation introduced by Simion and Sundaram. Deutsch and Elizalde enumerated the set of simsun permutations that avoid in addition any set of patterns of length $3$ in the classical sense. In this paper we enumerate the set of permutations avoiding any other simsun pattern of length $3$ together with any set of classical patterns of length $3.$ The main tool in the proofs is a massive use of a bijection between permutations and increasing binary trees.
A Cost–Utility Analysis of Atezolizumab in the Second-Line Treatment of Patients with Metastatic Bladder Cancer
Authors: Parmar A. , Richardson M. , Coyte P.C. , Cheng S. , Sander B. , Chan K.K.W.
Published: September 2020

Background: Despite initial promising results, the IMvigor211 clinical trial failed to demonstrate an overall survival (OS) benefit for atezolizumab compared with chemotherapy as second-line treatment for metastatic bladder cancer (mBC). However, given lessened adverse events (AES) and preserved quality of life (QOL) with atezolizumab, there might still be investment value. To evaluate that potential value, we conducted a cost–utility analysis (CUA) of atezolizumab compared with chemotherapy from the perspective of the Canadian health care payer. Methods: A partitioned survival model was used to evaluate atezolizumab compared with chemotherapy over a lifetime horizon (5 years). The base-case analysis was conducted for the intention-to-treat (ITT) population, with additional scenario analyses for subgroups by IMvigor-defined PD-L1 status. Health outcomes were evaluated through life–year gains and quality-adjusted life–years (QALYS). Cost estimates in 2018 Canadian dollars for systemic treatment, AES, and end-of-life care were incorporated. The incremental cost-effectiveness ratio (ICER) was used to compare treatment strategies. Parameter and model uncertainty were assessed through sensitivity and scenario analyses. Per Canadian guidelines, cost and effectiveness were discounted at 1.5%. Results: For the ITT population, the expected qalys for atezolizumab and chemotherapy were 0.75 and 0.56, with expected costs of $90,290 and $8,466 respectively. The resultant ICER for atezolizumab compared with chemotherapy was $430,652 per QALY. Scenario analysis of patients with PD-L1 expression levels of 5% or greater led to a lower ICER ($334,387 per QALY). Scenario analysis of observed compared with expected benefits demonstrated a higher icer, with a shorter time horizon ($928,950 per QALY). Conclusions: Despite lessened aes and preserved QOL, atezolizumab is not considered cost-effective for the second-line treatment of mbc.
Practical Update for the Use of Bone-Targeted Agents in Patients with Bone Metastases from Metastatic Breast Cancer or Castration-Resistant Prostate Cancer
Authors: Southcott D. , Awan A. , Ghate K. , Clemons M. , Fernandes R.
Published: September 2020

Bone metastases are a significant source of morbidity and mortality for patients with breast and prostate cancer. In this review, we discuss key practical themes regarding the use of bone-targeted agents (btas) such as bisphosphonates and denosumab for managing bony metastatic disease. The btas both delay the onset and reduce the incidence of skeletal-related events (sres), defined as any or all of a need for radiation therapy or surgery to bone, pathologic fracture, spinal cord compression, or hypercalcemia of malignancy. They have more modest benefits for pain and other quality-of-life measures. Regardless of the benefits of btas, it should always be remembered that the palliative management of metastatic bone disease is multimodal and multidisciplinary. The collaboration of all disciplines is essential for optimal patient care. Special consideration is given to these key questions: (1) What are btas, and what is their efficacy? (2) What are their common toxicities? (3) When should they be initiated? (4) How do we choose the appropriate bta? (5) What is the appropriate dose, schedule, and duration of btas?
Cancer and COVID-19: How Understanding Grief Helps the Pandemic Frontlines
Authors: Kahn A.M. , Andrews R.
Published: September 2020

I first heard of Dr. Elisabeth Kübler-Ross in medical school, when learning how to deliver bad news. […]
La objetivación de la noción de sector circular en el trabajo matemático con GeoGebra
Authors: Sánchez Ivonne C. , Brandemberg João Cláudio , Castillo Luis Andrés
Published: September 2020

Este artículo presenta resultados obtenidos de una investigación en el desarrollo de una tesis de maestría, titulada "Aprendizaje geométrico sobre ideales presentes en la simulación de un motor de dos tiempos en GeoGebra: Un estudio de caso". Referida investigación fue desarrollada en el Programa de Posgrado en Educación en Ciencias y Matemáticas de la Universidad Federal de Pará. En este artículo se describen los procesos de objetivación de la noción geométrica del sector circular manifestado por un grupo de estudiantes de la Licenciatura Integrado en Ciencias, Matemáticas y Lenguaje en actividades de Elaboración de Simuladores con GeoGebra (ESG). Específicamente, la objetivación del referido contenido geométrico se evidencio en las actividades de trabajo matemático llevadas a cabo para simular el cigüeñal de un motor de dos tiempos en el GeoGebra. Este estudio tomo como fundamento teórico la Teoría de la Objetivación, para tener una óptica que permitiese evidenciar la objetivación del conocimiento geométrico para describir el grupo de estudiante llegan al encuentro con la noción de sector circular al simular un cigüeñal de un motor de dos tiempos en GeoGebra. Los datos de la investigación provienen de las grabaciones realizadas en las sesiones de trabajo con estudiantes y profesores cuando realizaban las actividades, particularmente en el momento de trabajo matemático. Realizamos un análisis multisemiótico de la información obtenida de las transcripciones hechas de las grabaciones. Los resultados se centran en cómo los estudiantes usan medios semióticos de objetivación para expresar y dar forma a la noción de sector circular.
Structural and electronic properties of SnO2 doped with non-metal elements
Authors: Yu Jianyuan , Wang Yingeng , Huang Yan , Wang Xiuwen , Guo Jing , Yang Jingkai , Zhao Hongli
Published: September 2020

Crystal structure and electronic properties of SnO2 doped with non-metal elements (F, S, C, B, and N) were studied using first-principles calculations. The theoretical results show that doping of non-metal elements cannot change the structure of SnO2 but result in a slight expansion of the lattice volume. The most obvious finding from the analysis is that F-doped SnO2 has the lowest defect binding energy. The doping with B and S introduced additional defect energy levels within the forbidden bandgap, which improved the crystal conductivity. The Fermi level shifts up due to the doping with B, F, and S, while the Fermi level of SnO2 doped with C or N has crossed the impurity level. The Fermi level of F-doped SnO2 is inside the conduction band, and the doped crystal possesses metallicity. The optical properties of SnO2 crystals doped with non-metal elements were analyzed and calculated. The SnO2 crystal doped with F had the highest reflectivity in the infrared region, and the reflectance of the crystals doped with N, C, S, and B decreased sequentially. Based on this theoretical calculations, F-doped SnO2 is found to be the best photoelectric material for preparing low-emissivity coatings.
Computational model of hull steel potential values in sea water
Authors: Alchakov Vasiliy V. , Kramar Vadim A. , Rodkina Anna V.
Published: September 2020

The article provides an analysis of existing neural network models. The features of constructing a neural network using several parameters that affect the output value are described. The advantages of using neural networks and computing systems based on them are revealed. The task was solved using the Python programming language. The computing model of the potential values of steel with an oxide film and the potential of steel without an oxide film has been developed for various salinity of sea water and different types of hull steels used for hulls of sea vessels and underwater structures of ocean engineering structures designed for the Black Sea basin of the Sevastopol region and operated in this region. The obtained results will improve the accuracy of predicting potentials for various hull steel grades.