bluuebunny/crossref_metadata_2025 huggingface dataset:
Staff Week as a Modernization Tool in Translator Training Programs: Experience of Cooperation in the Erasmus +
Authors: Mityagina V. A. , Novikova E. Yu. , Wenzl K.
Published: May 2021

Translator training in the coordinates of the global educational space implies an integrative approach to unification and at the same time extension of theoretical, methodological and didactic approaches. At the same time, the search for effective ways and tools of interaction is carried out at different levels – academic, professional communities, individual persons, since the profession of a translator implies communication without borders, networking and constant expansion of the circle of partnerships. This article analyzes the effectiveness of one of the current tools for interuniversity cooperation in the format of Staff Week internships, integrated into the Erasmus + academic mobility program, in the focus of its validity and functionality in training translators. The study provides an analysis of domestic and foreign scientific and educational works on the scientific, didactic potential of the program, a review of the current state of affairs in the field of intercollegiate cooperation within Erasmus + on the example of the Russian university – Volgograd State University and the German university – International University SDI Munich. These universities have been developing partnership relations since the 90s, however, Erasmus has been cooperating with them recently and quite successfully. The material of the study is an overview of the structure and content of the Staff Week internships of Volgograd State University teachers at SDI Munich. The Intercultural component of interaction is effectively manifested in the optimization of didactic models in the partner university, updating of curricula, expanding the horizons of joint projects, which certainly contributes to improving the quality of educational services in the field of translation and promotes the integration of education in general. The results of this research can be useful for the organization of the educational process in university educational programs in the areas of training specialists in the field of translation and intercultural communication.
ORMAN TOPRAĞI VE ÜÇ FARKLI TOPRAKLA BESLENEN KIRMIZI KALİFORNİYA SOLUCANINDAN ELDE EDİLEN SOLUCAN GÜBRELERİ ARASINDAKİ FARKIN BELİRLENMESİ
Authors: ÖZKAYA Mimar Sinan
Published: May 2021

Bu çalışmada, 4 tip toprak tipi ile beslenen Kırmızı Kaliforniya (Eisenia fetida) solucanından elde edilen katı solucan gübresindeki bazı besin elementlerine etkisi araştırılmıştır. Bu amaçla, Artvin Orman Bölge Müdürlüğü Biyolojik Mücadele Laboratuvarında, dört farklı besi ortamında üç tekrarlı deneme deseni kurulmuş, deneme kaplarının içlerine dört farklı toprak tipi ve her kaba 40’ar adet solucan verilmiştir. Iki ay sonunda topraklar tamamen gübreye dönüşmüş ve solucan gübreleri kaplardan alınarak, kurutulduktan sonra analizleri yapılmıştır. Araştırma sonucunda en yüksek solucan sayısına (D) % 100 tarla toprağı besi ortamından elde edilen solucan gübresinden, ikinci en fazla solucan sayısına ise , (C) Fidanlık toprağından elde edilen solucan gübresinde rastlanmıştır. En az solucana ise (A) %100 orman toprağı besi ortamından elde edilen solucan gübresinde rastlanmıştır. (B) Özel toprağın B1, B2, B3, B4 ve B5’in besi ortamına verilen 200 adet solucanın iki ay sonra % 37’sinin öldüğü belirlenmiştir. Besi ortamlarından elde edilen solucan gübresindeki en yüksek azot değerine fidanlık toprağı ile %100 tarla toprağından elde edilen solucan gübresinde, en yüksek pH, EC ve CaCO3 değerine (B) Özel topraktan elde edilen solucan gübresinde, en yüksek organik madde %’sine (D) tarla toprağından elde edilen solucan gübresinde rastlanmıştır.
DÜŞÜK MALİYETLİ İNSANSIZ HAVA ARAÇLARI İÇİN UÇUŞ ÖNCESİ BLOK PLANLAMANIN DEĞERLENDİRİLMESİ
Authors: GÜLCİ Sercan , YURTSEVEN Hüseyin , AKGÜL Mustafa
Published: May 2021

Son yıllarda geliştirilen düşük maliyetli insansız hava araçları (İHA) ve yazılımlar, çok yüksek konumsal çözünürlükte ve kullanıcı tarafından belirlenen aralıklarda düşük maliyetli görüntüleme imkanı sunmaktadır. Ormancılık ile ilgili ölçme ve haritalama kapsamında, dünyada olduğu gibi Türkiye'de de düşük maliyetli İHA talepleri önemli ölçüde artmaktadır. Buna bağlı olarak düşük maliyetli İHA ve sensörleri hızla piyasaya sürülmektedir. Sonuç olarak ürün çeşitliliği hızla artmaktadır. Kullanılan teknikler, yöntemler ve ölçüm araçları İHA ile üretilen verilerin hassasiyetini etkileyen önemli faktörlerdir. Ayrıca, İHA ile elde edilen blok alım kalitesi ve hassasiyeti çevresel faktörlerin yanı sıra uçuş hızı, uçuş yüksekliği ve kullanılan görüntü algılayıcıların özelliklerine bağlı olarak değişmektedir. Bu çalışmada, Structure-from-Motion (SfM) tekniği ile kullanılan düşük maliyetli İHA’nın uçuş öncesi değerlendirilme ve blok alımı planlaması üzerinde durulmuştur. Bu nedenle, İHA'lar ile elde edilen blok alımın bilimsel araştırmalarda ve uygulamalarda istenilen hassasiyeti sağlayabilmek için uçuş öncesi planlama kapsamında irdelenmiştir. Piyasada düşük maliyetli olarak satılan bir İHA (Drone) için beş farklı uçuş öncesi plan hesaplanmıştır. İHA’nın uçuş kapasitesi, üzerindeki sensör özellikleri ve uçuş yükseklikleri arasındaki ilişkiler göz önünde bulundurulmuştur. Sonuç olarak, düşük maliyetli İHA ve üzerine monte edilmiş görüntü sensörünün maksimum ve minimum performansı, birkaç teknik bilgi yardımıyla tahmin edilebilmektedir. Böylece İHA ile elde edilecek veri hassasiyetinin tahmini ve uçuş güvenliği konusunda bilgi sağlanabilir. Bu makale, araştırmalarında düşük maliyetli İHA veya mikro İHA gibi yarı otomatik sistemleri fotogrametrik çalışmalarında kullanmak isteyen uzmanlar veya araştırmacılar için ön kontrol planlamalarına rehberlik etmeyi amaçlamaktadır.
ROLE OF NURSES IN A MULTISCIPLINARY TEAM MANAGING PATIENTS AT RISK FOR OSTEONECROSIS OF JAW (ONJ): A FIFTEEN-YEAR EXPERIENCE
Authors: Ferrero Elisabetta , Brigo Paola , Tartara Daniela , Riccio Carmela , Fasciolo Antonella , Fusco Vittorio
Published: May 2021

Osteonecrosis of the Jaw (ONJ) is a serious event, with negative consequences on the Quality of Life of advanced cancer and myeloma patients. Antiresorptive drugs (bisphosphonates and denosumab) are of great clinical benefit, they impose careful oral health monitoring in order to prevent the occurrence of ONJ. On November 2005, at Alessandria Hospital, an ONJ Multidisciplinary Team for the prevention, the diagnosis and the treatment of ONJ was established; within the team, nurses are active as case-managers. The case manager nurses became the figure of coordination of diagnosis path, treatment and care, as well as a reference for the patient and the whole multidisciplinary team. The team nurses are also involved in data collection and processing, by monitoring the clinical care pathway both for practice patients and for study protocol patients. At March 2021, more than 900 patients were seen by the multidisciplinary group, with data registered on charts and database. 

In our experience, nurses are active  members of the Multidisciplinary Team, playing multiple roles: case manager taking charge of a patient, when following and supporting him/her during first visits, diagnosis and treatment; coordinator of the procedures to be implemented, indicated by several medical specialists; health educator implementing proper health interventions; data management and participation in study protocols, hence outlining the role of the research nurse.
18F-Choline PET-CT: a potential adjuvant tool for early diagnosis of Osteonecrosis of the Jaw (ONJ) in prostate cancer patients?
Authors: Fusco Vittorio , Tommasi Luigi , Muni Alfredo , Fasciolo Antonella , Guglielmini Pamela Francesca , Vincenti Maura , Tartara Daniela , Brigo Paola
Published: May 2021

Background. Nuclear Medicine imaging techniques, i.e., planar bone scan (Tc99 m scintigraphy) and PET (Positron Emission Tomography) with several tracers, have been sug­gested as useful aids to diagnosis of Osteonecrosis of Jaw (ONJ), that is mostly based on clinical observation (signs and symptoms, with/without bone exposure) and Computed Tomography (CT) scan. Potential advantages of Nuclear Medicine techniques include very early detection of ONJ (due to precocious uptakes), especially in ONJ cases without frank bone exposure. Prostate cancer patients treated with bisphosphonates or denosumab are at risk of ONJ. They undergo bone scan and/or 18F-Choline PET-CT aimed to evaluate response to treatment but attention is generally pointed to extracranial uptakes. Literature data show ability of bone scan to detect maxillary and mandible areas at risk of clinically relevant ONJ, but data are lacking about 18F-Choline PET-CT.

Material and Methods. We retrospectively reviewed 18F-Choline PET-CT scans of prostate cancer patients with diagnosis of ascertained ONJ (at CT scan) to search for uptakes in maxillary bones and mandible at time of ONJ diagnosis, or before, or after. 

Results. Out of 5 prostate cancer patients undergoing 18F-Choline PET-CT scans before or after the ONJ diagnosis time, 4 had clear jaw uptakes at ONJ site next to ONJ diagnosis time or before; one had no uptake (4 years after ONj diagnosis). 

Conclusions. Our limited experience indicates that 18F-Choline PET-CT scan uptakes, as well as planar bone scan uptakes, are of potential help to early detect ONJ areas, sometimes still in absence of signs and symptoms. Further studies with larger numbers of prostate cancer patients with and without ONJ disease are warranted and should be planned as multicentre trials.  

The 18F-Choline PET-CT scan uptakes at maxillary bone and mandible should be reported and underlined by Nuclear Medicine specialists, as well as bone scan uptakes, as an aid to oncologists, oral care specialists and patients.
SISTEM KEAMANAN SEPEDA MOTOR BERBASIS IOT (INTERNET OF THINGS) DENGAN SMARTPHONE MENGGUNAKAN NODEMCU
Authors: Putra Ari Putra
Published: May 2021

Tujuan pembuatan alat ini adalah untuk menghasilkan perangkat keras (hardware) dan perangkat lunak (software) sistem keamanan sepeda motor untuk mencegah kejahatan yang dapat di kendalikan melalui perangkat smartphone dengan koneksi NodeMCU sebagai pemancar WIFI. Perancangan dan pembuatan sistem secara keselurahan menggunakan motode reverse engineering dengan tahapan mempelajari prinsip komponen, analisis pemasangan komponen, membandingkan keunggulan produk, dan melakukan perancangan produk baru. Pada smartphone android menghasilkan aplikasi remote motor yang telah dibuat di blynk, yang mana terdapat mode securty, motor, engine, alarm dan gps tracker. Mode security yaitu melindungi dari perampokan dengan alarm. Jika mode securitydihidupkan lalu motor getaran,atau kunci kontak yang diambil dari izin klakson diharapkan akan menarik perhatian masyarakat untuk datang membantu mengagalkan aksi perampokan. Mode motor yaitu sebuah fitur yang dapat menghidupkan serta mematikan mesin motor melalui android. Mode engine bertujuan untuk mematikan mesin jarak jauh ketika pencuri membawa motor. Mode mati untuk melihat pengguna ketika lupa menaruh kunci atau motor smartphone tetap bisa dihidupkan dengan mengaktifkan starter 3 kali untuk keberadaan motor atau ketika lupa memarkirkan sepeda motor. Fitur perintah suara menghidupkan serta mematikan mesin motor untuk memudahkan interaksi pengguna melakukan kontak dengan perangkat keras.Fitur tombol rahasia bertujuan untuk membantu menghidupkan kontak setelah tekan kembali 1 kali untuk menghidupkan, untuk mematikan mesin cukup mematikan starter 2 kali. Gps (Global Positioning System) yaitu untuk kelengkapan lokasi bilamana motor dibawa oleh oknum
Pengaruh Beban dan Filter pada Penyearah AC-DC Terkendali untuk Rangkaian Pengisi Li-ion Berbasis Bridge Rectifier dan Buck Converter Menggunakan Metode CC/CV
Authors: Hakim Alif Pradana , Suprapto Sena Sukmananda , Farid Mifta Nur
Published: May 2021

Saat ini, banyak perangkat elektronik yang menggunakan baterai sebagai sumber dayanya seperti handphone dan laptop. Sebuah charger baterai yang bersumber AC (Alternating Current) memiliki sebuah penyearah AC ke DC (Direct Current). Keluaran penyearah AC-DC tidak sesuai untuk pengisian CC/CV (Constant Current/Constant Voltage), sehingga diperlukan buck converter untuk menghasilkan nilai yang diinginkan. Selain itu, penyearahan AC-DC membawa ripple yang dapat merusak baterai dan mempengaruhi rectification ratio (RR), sehingga memerlukan filter untuk mengurangi ripple dan meningkatkan rectification ratio. Percobaan dilakukan pada kondisi arus konstan atau CC 1,5A dan kondisi tegangan konstan atau CV 4,2V menggunakan variasi beban. Pada percobaan CC, diketahui bahwa peningkatan beban akan menyebabkan peningkatan duty cycle yang dibutuhkan. Pada uji coba CV, diperoleh hasil bahwa peningkatan beban menyebabkan pengurangan duty cycle yang dibutuhkan. Penggunaan filter pada kondisi CC dan CV dapat mengurangi ripple dan meningkatkan RR. Pada kondisi CC, ripple matematis, simulasi, dan uji coba secara berturut-turut berkurang 46,45%, 46,43%, dan 45,46%. RR matematis, simulasi, dan uji coba secara berturut-turut meningkat 18,17%, 18,17%, dan 21,59%. Pada kondisi CV, ripple matematis, simulasi, dan uji coba secara berturut-turut berkurang 46,44%, 46,6%, dan 48,78%. RR matematis, simulasi, dan uji coba secara berturut-turut meningkat 18,17%, 18,17%, dan 20,99%. Pengisian Li-ion 3Ah memakan waktu 4 jam 58 detik. Dimana pengisian CC selama 32 menit 10 detik dan pengisian CV selama 3 jam 28 menit 48 detik. Pada pengisian CC duty cycle meningkat saat terjadinya peningkatan tegangan baterai. Sedangkan pada pengisian CV, duty cycle menurun saat berkurangnya arus pengisian.
Penggunaan Daya Panel Surya Dengan MPPT Bisection Pada Proses Charging Baterai
Authors: Raharja Lucky Pradigta Setiya , Eviningsih Rachma Prilian , Ferdiansyah Indra , Yanaratri Diah Septi
Published: May 2021

Penggunanan energi terbaharukan semakin pesat pada jaman ini. Panel surya merupakan salah satu yang banyak digunakan untuk menghasilkan energi listrik dari sinar matahari. Energi listrik dari panel surya dapat digunakan secara langsung atau dapat disimpan pada baterai. Pada proses penyimpanan energi listrik dari panel surya dilakukan dengan cara melakukan charge pada baterai dengan daya listrik yang dihasilkan oleh panel surya. Untuk memaksimalkan daya keluaran dari panel surya digunakan metode MPPT Bisection dengan Interleaved Boost Converter (IBC) untuk mengatur daya yang dikeluarkan dari panel surya. Algoritma MPPT Bisection dibangun dengan C-Code pada simulasi software PSIM. Dari hasil sistem yang dibangun menggunkan MPPT Bisection dapat berjalan dengan baik. Daya yang dihasilkan dari panel surya bisa mencapai antara 98.47 % sampai dengan 99.84 % dari daya maksimum panel surya dengan Standard Light Intensity antara 1000 W/m2 sampai dengan 400 W/m2. Tegangan yang dikeluarkan untuk charge baterai memiliki riple tegangan yang sangat kecil yaitu 0.19 % sehingga dapat digunakan untuk proses charge baterai dengan baik. Dengan menggunakan metode MPPT Bisection dan Interleaved Boost Converter dapat memaksimalkan hasil keluaran daya panel surya dan memiliki ripel tegangan yang sangat kecil.
A Comprehensive Review on Bot - Discord Bot
Authors: Verma Anirudh , Tyagi Shashikant , Mathur Gauri
Published: May 2021

The bot’s purpose is to make the Discord server a bit more fun by making it interactive and interesting. This bot brings together various people from all over the world and helps them remain connected to each other. Once people join the server they can use all the features of the bot and join voice channels to communicate or share ideas thoughts or just have a chat. This is a better version of WhatsApp, Microsoft teams and has surpassed both of them in the same field. Discord is a VoIP, instant messaging and digital distribution platform designed for creating communities. Users communicate with voice calls, video calls, text messaging, media and files in private chats or as part of communities called “servers”. Servers are a collection of persistent chat rooms and voice chat channels. Discord runs on Windows, macOS, Android, iOS, Linux, and in web browsers.
UNIFY - The University Recommender
Authors: Mehta Soham Manish , Padhariya Nidhi Vinod , Patel Sakshi Jayesh
Published: May 2021

As humanity move towards the digital age university education started becoming more and more important for any field in the market, but to understand the process of how the university admissions work a student has to invest a lot of time and money to get the required information with a possibility of getting scammed, to over this issue a sophisticated university recommender system is discussed in this paper and basic details on how to implement the system as well as difficulties faced while developing the said system is discussed in brief.
Qualitative Analysis of dual MAC in Multihop Adhoc Wireless Network
Authors: Kumar Amit
Published: May 2021

Multihop adhoc wireless networks offer great challenges for protocol designers. Stations in such networks are constrained by factors like low power, limited bandwidth, link errors and collisions. Changes are needed at various levels of the protocol stack, most importantly at the media access layer(MAC). This paper emphasizes in minimizing the collisions, and take care of the hidden and exposed problems in multihop wireless networks. The MAC with Distributed Coordination Function(DCF)does not scale well in such networks. We introduce Point Coordination Function(PCF)in the region of high traffic areas, and discuss its effect on network performance. To improve network scalability and throughput, we propose the design of dual MAC. This work discusses architecture and working of the dual MAC. Performance results of the network using MAC are presented, and compared with that of pure DCF operation.
Intrusion Detection System based on K-means, Classification and Regression Trees Algorithm
Authors: Borikar R. K. , Sherekar Dr. S. S. , Thakare Dr. V. M.
Published: May 2021

The security of computer networks has become a very important aspect in
today’s era. An intrusion detection system (IDS) is a type of security software
designed to automatically inform administrators when someone is trying to
compromise the information system through malicious activities or security
policy violations. IDS works by monitoring the system functionalities by
checking system vulnerabilities, the integrity of files, and performing analysis of
patterns based on known attacks. Intrusion detection is the cycle called
distinguishing intrusions. The activity which is entering a framework without
consent is called interruption. Interruption Detection Systems are fundamental
for security limits. This paper is focused on the analysis of five different
techniques like k-means clustering and naive Bayes classification, Enhanced kmeans algorithm, random forest, and weighted k-means, k-means clustering,
regression trees algorithm, etc. But some problems are indicated by techniques.
These methods analyzed the restrictions of intrusion detection systems by way
of low accuracy, high incorrect alarm rate, and time consumption. So, to
overcome these problems the proposed method ‘K-means and Classification and
Regression Trees Algorithm’ is used to show good accuracy in performance
analysis with time complexity by using a hybrid data mining method in the
Weka tool. The proposed model of K-means and classification and regression
trees algorithm depends on intrusion detection system that gives proper period
popular huge information measure of these days’ interruption data set.
A Practice for Object Detection Using YOLO Algorithm
Authors: Gothane Dr. Suwarna
Published: May 2021

When we look at images or videos, we can easily locate and identify the objects of our interest within moments. Passing on this intelligence to computers is nothing but object detection - locating the object and identifying it. Object Detection has found its application in a wide variety of domains such as video surveillance, image retrieval systems, autonomous driving vehicles and many more. Various algorithms can be used for object detection but we will be focusing on the YoloV3 algorithm. YOLO stands for "You Only Look Once". The YOLO model is very accurate and allows us to detect the objects present in the frame. YOLO follows a completely different approach. Instead of selecting some regions, it applies a neural network to the entire image to predict bounding boxes and their probabilities. YOLO is a single deep convolutional neural network that splits the input image into a set of grid cells, so unlike image classification or face detection, each grid cell in YOLO algorithm will have an associated vector in the output that tells us if an object exists in that grid cell, the class of that object, the predicted bounding box for that object. The model here is progressive so it learns more over time, increasing its prediction accuracy over time. The way the model works is that it makes many predictions in one frame and decides to use the most accurate prediction, thus discarding the other. The predictions are made randomly, so if the model feels like there is an object in the frame which is of a very small pixel it will take that also into consideration. To make it more precise and clearer, the model simply creates bounding boxes around everything in the frame, it would make predictions for each box and pick the one with the most confidence score. All this is done in a small-time frame, thus showing why this specific model is the best to use in a real time situation.
Visionary Eye for Visual Impairment
Authors: Shah Ruchir , Tamboli Dhaval , Baria Ravindra , Makwana Ajay , Shekokar Kishori , Degadwala Sheshang
Published: May 2021

In this Research paper, we have discussed a proposed system that can be a visionary eye for a blind person. A common goal in computer vision research is to build machines that can replicate the human vision system. For example, to recognize and describe objects/scenes. People who are blind to overcome their real daily visual challenges. To develop a machine that can work by the vocal and graphical assistive answer. A machine can work on voice assistant and take the image taken by a person and after an image processing and extract the result after neural networks. And it all happens in real-time.
Improved Connected Component Labeling Algorithm for Remote Sensing Image Classification
Authors: Sumathi M. , Balaji T.
Published: May 2021

The main objective of this paper is to carry out a detailed analysis of the most popular Connected Component Labeling (CCL) algorithms for remote sensing image classification. This algorithm searches line-by-line, top to bottom to assign a splotch label to each current pixel that is connected to a splotch. This paper presents two new strategies that can be used to greatly improve the speed of connected component labeling algorithms. It assigns a label to a new object, most labeling algorithms use a scanning step that examines some of its neighbors. The first strategy deeds the dependencies among the neighbors to reduce the number of neighbors examined. The second strategy uses an array to store the equivalence information among the labels. This replaces the pointer based deep rooted trees used to store the same equivalence information. It reduces the memory required and also produces consecutive final labels. The connected component labeling assigns labels to a pixel such that adjacent pixels of the same features are assigned the same label. The paper presents a modification of this algorithm that allows the resolution of merged labels and experimental results demonstrate that proposed method is much more efficient than conventional methods for various kinds of color images. This method is improving the labeling algorithms and also benefits for other applications in computer vision and pattern recognition
Workload Optimization by Horizontal Aggregation in SQL for Data Mining Analysis
Authors: Rathod Prasanna M. , Raut Prof. Dr. Anjali B.
Published: May 2021

Preparing a data set for analysis is generally the most time consuming task in a data mining project, requiring many complex SQL queries, joining tables, and aggregating columns. Existing SQL aggregations have limitations to prepare data sets because they return one column per aggregated group. In general, a significant manual effort is required to build data sets, where a horizontal layout is required. We propose simple, yet powerful, methods to generate SQL code to return aggregated columns in a horizontal tabular layout, returning a set of numbers instead of one number per row. This new class of functions is called horizontal aggregations. Horizontal aggregations build data sets with a horizontal denormalized layout (e.g., point-dimension, observation variable, instance-feature), which is the standard layout required by most data mining algorithms. We propose three fundamental methods to evaluate horizontal aggregations:
? CASE: Exploiting the programming CASE construct;
? SPJ: Based on standard relational algebra operators (SPJ queries);
? PIVOT: Using the PIVOT operator, which is offered by some DBMSs.
Experiments with large tables compare the proposed query evaluation methods. Our CASE method has similar speed to the PIVOT operator and it is much faster than the SPJ method. In general, the CASE and PIVOT methods exhibit linear scalability, whereas the SPJ method does not. For query optimization the distance computation and nearest cluster in the k-means are based on SQL.
Workload balancing is the assignment of work to processors in a way that maximizes application performance. The process of load balancing can be generalized into four basic steps:
1. Monitoring processor load and state;
2. Exchanging workload and state information between processors;
3. Decision making;
4. Data migration.
The decision phase is triggered when the load imbalance is detected to calculate optimal data redistribution. In the fourth and last phase, data migrates from overloaded processors to under-loaded ones.
A Human Expert Based Approach to Heartrate Monitoring System with Automatic Message Sending Via Smartphones
Authors: Arun Dr. J. , N Saranya.
Published: May 2021

The objective of the paper was to propose a human – expert based approach on a heartbeat calculating and message sending system. Heart related disease is rising among today's population. The need for an accurate yet affordable heart rate is essential to ensure one's health quality. However, in today's market, most heart monitors are expensive and are not user friendly. Our goal is to calculate the heart beat using smart phones that is user friendly and less expensive. In Today's situation 50% percent of people using Smart phones, so in order to make our goal possible we are using the smart phones to calculate the humans heart beat rate accurate. In this project, a real-time heart rate measurement technique called Photo-Plethysmography (PPG) is implemented using simple infrared transmitter and receiver circuit. Our main aim to decrease the death rate of humans due to heart related diseases, so we can assign the smart phones to sending an emergency alert message to the particular persons relatives and to an ambulance or to the nearby doctor resources along with the location of the user when the Blood pressure is increasing/decreasing then normal rate. By sending an alert message the lives of an human will be recovered from critical situation.
Energy-Efficient Resources Management in Container- Based Clouds
Authors: Patel Sujalkumar , Patel Dr. Sanjay
Published: May 2021

Cloud enables access to a shared pool of virtual resources through Internet and its adoption rate is increasing because of its high availability, scalability and cost effectiveness. However, cloud data centers are one of the fastest-growing energy consumers and half of their energy consumption is wasted mostly because of inefficient allocation of the server’s resources. Therefore, this thesis focuses on software level energy management techniques that are applicable to containerized cloud environments. Containerized clouds are studied as containers are increasingly gaining popularity. And containers are going to be major deployment model in cloud environments.
Risks and Threats to Web Applications and Their Preventions : A Theoretical Study on Vital Risks and Threats
Authors: Kumar Yogesh , Satyanarayana Anumalla Sandeep , Kumar Ankit , Sharma Vikas
Published: May 2021

With the rapid evolution of technology, almost every business is now online connecting them to the widest and narrow corners of the world. Therefore, instead of physical security, their online security is a pivotal concern the business which all depends on the web applications security. Web application attacks and their risks have become normal since past many years, and the security of web applications has received increased attentions at present. Many attacks work on real time and mostly prevention mechanisms focus on prevention and detection of these attacks on the web applications. This research focuses on giving attention to the top 10 threats that organizations need to know and to ensure the web applications are protected from these risks and attacks.
Analysis of Software Clones
Authors: Ralhan Chavi , Bishnoi Rakesh , Ankit  , Anjali  , Hitesh Kumar
Published: May 2021

Copied code or code clones are a sort of code that contrarily affect the improvement and support of software frameworks. Software clone research in the past generally cantered around the discovery. what's more, examination of code clones, while research lately reaches out to the entire range of clone the board. In the last decade, three reviews showed up in the writing, which cover the recognition, examination and transformative attributes of code clones. This paper presents a complete overview on the state of the workmanship in clone the board, with top to bottom examination of clone the executives exercise (e.g., following, refactoring, cost benefit investigation) past the recognition and examination. This is the main overview on clone the board, where we highlight the accomplishments up until now, and uncover roads for additional exploration essential towards an incorporated clone the board framework. We accept that we have worked really hard in studying the territory of clone the board and that this work may fill in as a guide for future research in the area.
Analisis Kinerja Sensor Water Level - Pressure Transducer (Studi Kasus Automatic Weather System Di Pelabuhan Merak)
Authors: Sandro Tiven , Hairatunnisa Hairatunnisa , Putra Maulana
Published: May 2021

Pengukuran tinggi muka air laut (water level) merupakan salah satu pengukuran parameter cuaca yang sangat penting di Indonesia mengingat wilayah Indonesia didominasi wilayah perairan. Pengukuran water level dimaksudkan sebagai data peringatan dini untuk mencegah kerugian yang ditimbulkan dari bencana seperti tsunami ataupun pasang gelombang yang tinggi. Dalam melakukan pengukuran water level terdapat beberapa jenis sensor yang digunakan, salah satunya adalah sensor dengan tipe pressure atau tekanan. Pada penelitian ini digunakan sensor water level pressure transducer tipe CS451 yang prinsip kerjanya adalah dengan membandingkan tekanan yang ada di dalam air dengan tekanan udara sebagai referensi dan menghitung selisih antara kedua tekanan tersebut. Selisih yang didapatkan kemudian di konversikan menjadi jarak. Metode yang digunakan dalam penelitian ini terdiri dari dua tahapan yaitu perancangan sistem alat dan evaluasi kinerja alat. Pengukuran yang dilakukan pada tanggal 16 Desember 2019 – 31 Januari 2020 menunjukan data yang baik dimana data tersebut membentuk grafik sinusiodal dengan data rata-rata 1.466 m, nilai data maksimum 2.066 m  dan nilai data minimum 0.821 m. Namun sensor water level mengalami permasalahan yang menyebabkan pengukuran yang dihasilkan menjadi tidak baik. Hal ini disebabkan salah satunya biota laut yaitu teritip yang menutupi sensor water level dan laju korosi pada sensor yang menyebabkan kerusakan pada sensor. Solusi yang harus dilakukan adalah dengan melakukan instalasi dan pemeliharaan dengan lebih baik, selain itu menggunakan cat anti-fouling agar kedepannya permasalahan yang sama tidak terulang kembali.
Gorong-gorong Sebagai Media Filter Air Bersih
Authors: Zuraida Ida -
Published: May 2021

Air bersih merupakan kebutuhan pokok harus memenuhi kreteria jernih, tidak berbau, tidak berwarna dan tidak berasa. Dalam pemenuhan air bersih biasanya dipenuhi oleh pemerintah setempat. Tetapi dalam pemenuhan tersebut memiliki keterbatasan sehingga tidak semua dapat terlayani. Lingkup kegiatan penelitian ini meliputi membuat sumur air baku sampai membuat system gorong-gorong filter air. Ouput dari system filter berupa air yang diuji tingkat kejemihan dan tingkat kekeruhannya di Laboratorium. Dalam penelitian ini ada beberapa tahapan yang akan dilakukan antara lain pembuatan sumur air baku, pembuatan system intake, system distribusi ke filter, pembuatan system filter dengan tiga model, ujicoba fungsionalitas dan evaluasi system, pengambilan sampel air dan pengujian kualitas air. Hasil penelitian berupa karya cipta filter dan kualitas air. Kualitas air pada periode awal dengan parameter Kejernihan antara 46,8 – 55,5 mg/l dengan prosentase penurunan sebesar 7% sedangkan dengan parameter Kekeruhan antara 157 – 227 NTU dengan prosentase penurunan sebesar 12%. Kualitas air pada periode pertengahan dengan parameter Kejernihan antara 52,4 – 65 mg/l dengan prosentase penurunan 0% sedangkan dengan parameter Kekeruhan antara 32,5 – 151 NTU dengan prosentase penurunan sebesar antara 0 – 79%. Kualitas pada periode akhir dengan parameter Kejernihan 4,3 mg/l dengan prosentase penurunan sebesar 5% sedangkan dengan parameter Kekeruhan antara 88,7 – 109 NTU dengan prosentase penurunan sebesar antara 20 – 35%. Harapan awal gorong-gorong dapat ditembus oleh air tetapi kenyataan dilapangan tidak tercapai. Harapan kedua untuk mengarahkan aliran air dari bawah keatas melalui media pasir juga tidak tercapai. Harapan satu-satunya yaitu melalui bagian dasar gorong-gorong yang masih bisa ditembus oleh air dan agak sedikit bisa menyaring air tetapi ini juga tidak efektif karena pada saat open per model menimbulkan piping. Penelitian ini masih belum sempurna, masih perlu dilakukan pengembangan agar bisa diterapkan secara langsung oleh masyarakat.
KAJIAN TAHAPAN PRA-STABILISASI MENGGUNAKAN ABU VULKANIK TERHADAP STABILISASI TANAH LEMPUNG ORGANIK ARTIFISIAL DENGAN SEMEN UNTUK DESAIN JOINTED PLAIN CONCRETE PAVEMENT
Authors: Upa Verdy Ananda , Setyadi Rahmat , Hakim Abi Maulana
Published: May 2021

Tanah lempung lunak adalah jenis tanah lempung yang memiliki nilai CBR rendah dan swelling yang besar, selain itu bahan organik dalam tanah lempung tersebut harus menjadi bahan pertimbangan, karena jika melewati batas maksimum akan mereduksi kekuatan dan stabilitas dari proses stabilisasinya. Tujuan penelitian ini untuk mengetahui pengaruh penambahan abu vulkanik dan semen Portland terhadap kekuatan dan stabilitas tanah lempung organik artifisial serta tebal perkerasan rencana yang digunakan. Tahap perlakuan awal, tanah lempung lunak dicampur dengan 3 variasi kadar abu vulkanik, kemudian diperam selama 3 hari. Tahap perlakuan akhir, tanah hasil campuran ditambahkan 5% semen Portland, lalu kembali diperam selama 3 hari. Pengujian sifat fisis meliputi  specific gravity, batas cair, batas plastis. Specific gravity meningkat dari 2,58 menjadi 2,65, batas cair menurun dari 71,48% menjadi 43,45%, batas plastis meningkat dari 28,96% menjadi 34,08%, indeks plastisitas menurun dari 42,52% menjadi 9,37%. Pengujian sifat mekanis meliputi pemadatan, CBR, dan pengujian swelling. OMC mengalami penurunan dari 33,696% menjadi 29,586%,  MDD mengalami peningkatan dari 1,319% menjadi 1,351%, CBR mengalami peningkatan dari 2,87% menjadi 9,77%, dan swelling mengalami penurunan dari 2,36% menjadi 0,45%, serta tebal perkerasan rencana berkurang dari 15 cm menjadi 8 cm untuk campuran tanah lempung organik dengan 15% abu vulkanik dan 5% semen.
Acosadas en terreno: El género, la raza, la nación y la construcción del conocimiento etnográfico
Authors: Hanson Rebecca , Richards Patricia
Published: May 2021

El acoso sexual y la sexualización son experiencias comunes para las mujeres investigadoras cuando llevan a cabo trabajo de campo. Sin embargo, estos temas rara vez se mencionan en los libros y clases de métodos. Este artículo se basa en entrevistas con investigadoras/es cualitativas/os (47 mujeres y nueve hombres) en la academia norteamericana y critica el silencio que rodea al acoso sexual en terreno. Sostenemos que este silencio es un indicador de un problema mayor: las/los investigadoras/es eliminan experiencias corporizadas de su investigación cualitativa. El silencio disciplinario que rodea el acoso sexual tiene un costo tanto para las/los investigadoras/es individuales como para la construcción del conocimiento etnográfico. Sostenemos que las/los investigadoras/es cualitativas/os deben hacer una reflexión crítica crítica sobre cómo el trabajo de campo y la recolección de datos están moldeados por el género, la raza, la sexualidad y la nacionalidad, y hacemos un llamado por la inclusión de las experiencias corporales, reconociendo las maneras en que estas son mutuamente constitutivas en la producción de conocimientos.
Re-imaginando diversidad en la academia, en tiempos de activismo feminista y pandemia
Authors: Goldsmith Weil Jael , Bauer Kelly
Published: May 2021

En marzo del 2020 hicimos un llamado para recibir contribuciones que documentasen y analizasen las estructuras de exclusión creadas, reproducidas y preservadas por la educación superior en América Latina. El objetivo era contribuir a una discusión sobre las posibilidades de re imaginar y diversificar la educación superior en cuanto a docencia, investigación, colegialidad, jerarquización y remuneración. Escribimos esto pensando en cómo los levantamientos feministas y sus revelaciones han desencadenado una serie de cuestionamientos y profundas críticas a los múltiples modos en que las universidades latinoamericanas no están cumpliendo con sus promesas, y con sospechas de que los efectos de la pandemia del COVID-19, que en ese momento recién comenzaban a verse en la región, podrían exacerbar las brechas de exclusión. Los manuscritos que recibimos, escritos en contextos de extrema adversidad, muchas desde la primera línea del desborde y sobrecarga académica, excedieron nuestras expectativas. Estos, contienen importantes y originales aportes teóricos, personales y metodológicos, que revelan los múltiples clivajes y proveen un conjunto de distintas narrativas y que revelan que lamentablemente la pandemia fue catalizador para el crecimiento de estas brechas.
Como Obter Redução De Custos Através Da Armazenagem E Distribuição: Um Enfoque Logístico
Authors: Barros Paulo Henrique Nunes De , Fonseca Josefa Sônia Pereira da
Published: May 2021

O presente trabalho tem como objetivo revelar a possibilidade de redução de custos das empresas com a interferência no Gerenciamento da Cadeia de Suprimentos, especificamente na Armazenagem e Distribuição, através da apresentação minuciosa do tema redução de custos e estudo de caso dos resultados obtidos pela empresa UPS, escolhida por ser a maior empresa na área de logística. O estudo busca responder à questão de que maneira obtemos redução de custos através da Armazenagem e Distribuição, sob o prisma da Logística. Para isso, será apresentada a perspectiva da logística na Administração de empresas, esclarecendo os conceitos de gerenciamento e visão da cadeia de suprimentos, de transporte e armazenagem, de coleta e distribuição de produtos, aliando ao estudo de caso proposto os conceitos de relevância na área de Gerenciamento da Cadeia de Suprimentos (CS). Como resultado, descobrimos que é possível obter redução de custos pelo gerenciamento racional de CS, relevando a importância da Logística, suas ferramentas e sua história, mostrando os métodos utilizados pela UPS em sua gestão da CS, para alcançar níveis internacionais de excelência na área, e resultados acima do esperado, tendo especial atenção a cada uma das etapas do gerenciamento: Armazenagem e Distribuição de produtos. O trabalho conclui que, as empresas que pretendem estabelecer-se no complexo ramo da logística devem, não somente compreender todos os elos da cadeia de suprimentos, tendo como valor o comprometimento com o resultado de qualidade, mas também um eficiente Gerenciamento da Armazenagem e Distribuição, com a utilização das modernas ferramentas de integração como é o caso dos sistemas de ERP, visando sua real inserção no mercado internacional que possui inúmeros atrativos. Para obtermos sucesso na redução de custos da Cadeia de Suprimentos, é imprescindível um modelo de negócios baseado na resposta com a sofisticação financeira exigida pelas melhores práticas, um total gerenciamento e visão do ciclo da cadeia de suprimentos obtendo maior agilidade e eficácia.
The Influence of Tax Knowledge on Tax Compliance Behaviour: A Case of Yemeni Individual Taxpayers
Authors: Al-Ttaffi Lutfi Hassen Ali , Bin-Nashwan Saeed Awadh , Amrah Muneer Rajab
Published: May 2021

This paper aims to enhance the understanding of tax compliance behaviour of individual Yemeni taxpayers. It investigated the influence of tax knowledge on the behaviour of taxpayers. A survey was used to collect the required data. The major finding of this study is that tax knowledge of citizens has a significant influence on their likely compliance behaviour. Specifically, compliance behaviour increases when tax knowledge is higher. This study is probably among the first to investigate and to provide evidence on the influence of citizens tax knowledge on tax compliance behaviour in Yemen. The outputs of this study could serve as a useful input, not only for tax policy and strategy in Yemen, but also in other developing countries. Thus, governments are recommended to work on increasing tax knowledge of its citizens which will result in improving the level of tax compliance.
Analisis Produksi dan Risiko Produksi Usahatani Cabai Rawit di Kecamatan Watunohu, Kabupaten Kolaka Utara
Authors: Amin Muhtar , Prihantini Campina Illa
Published: May 2021

Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi produksi usahatani cabai rawit dan resiko usahatani cabai rawit di Kecamatan Watunohu, Kabupaten Kolaka Utara. Jumlah responden yang digunakan dalm penelitian ini adalah 30 orang petani cabai rawit yang ditentukan berdasarkan snowballing sampling technique. Metode penelitian yang digunakan adalah survey. Kemudian, hasil survey digunakan dalam analisis regresi linier dan analisis risiko usahatani cabai dengan menggunakan aplikasi SPSS. Hasil dari penelitian menunjukkan terdapat tiga variabel dependen yang berpengaruh nyata terhadap produksi cabai rawit, yakni luas lahan, benih, dan pupuk Urea. Risiko produksi usahatani cabai rawit di Kecamatan Watunohu, Kabupaten Kolaka Utara berada dalam kategori rendah yang ditunjukkan dengan nilai koefisien varian sebesar 0,32. Artinya, dalam 100 kali proses produksi, peluang terjadinya risiko produksi adalah sebesar 32 kali dari jumlah produksi cabai rawit yang diharapkan.
Reseña de Parker (2019) Psychoanalysis, Clinic and Context. Subjectivity, History and Autobiography
Authors: Palacios Montoya José Carlos
Published: May 2021

Presento una reseña desde la experiencia personal que surge de la lectura del libro Psychoanalysis, Clinic and Context. Subjectivity, History and Autobiography (Parker, 2019). Hago al mismo tiempo un recorrido por la estructura temática del libro y por las reflexiones suscitadas a partir de su lectura. Propongo además la dialéctica de la evasión y el encuentro con lo evadido como un eje estructural del texto. Dicho eje funciona como un dispositivo que permite establecer la continuidad entre la experiencia personal y el contexto histórico cultural de las teorías y practicas descritas el texto. Señalo también el valor del trabajo subjetivo como herramienta de cuidado de si mediante el conocimiento de sí.
The Influence of Employee Engagement, Work Environment and Job Satisfaction on Organizational Commitment and Performance of Employees: A Sampling Weights in PLS path Modelling
Authors: Ahakwa Isaac , Yang Jingzhao , Agba Tackie Evelyn , Atingabili Samuel
Published: May 2021

Purpose- This paper explored the link between employee engagement, work environment, and job satisfaction on organizational commitment and employee performance in Ghana's Banking sector considering moderated-mediated interaction. Design/Methodology- Data were obtained from seven hundred and twenty (720) employees from selected financial banks in the Greater Accra Region of Ghana through simple random probability sampling. However, seven hundred (700) responses were deemed accurate and therefore used in the analysis. In the analytical process, Weighted Partial Least Squares (WPLS) and Partial Least Squares (PLS) based on Structural Equation Modeling (SEM) were employed. Findings- From the findings, the studied data for both WPLS-SEM and PLS-SEM models met internal consistency reliability, convergent, and discriminant validity. Also, organizational commitment fully mediated the link between work environment and employee performance in the WPLS-SEM model compared to PLS-SEM with partial mediation. It was statistically significant at p<0.01. Practical Implications- Based on the findings, it’s recommended that organizations and managers focus on developing the workers' workplace environment in numerous ways. This should entail valuing workers' contributions, communicating the company's progress and achievement to workers, thus instilling ownership in workers, providing them with a work-life balance, providing the requisite knowledge and tools for successful production, and providing a stable atmosphere. The workplace of all these factors could increase workers' morale and lead to increased productivity.
The Influence of Guided Inquiry Learning Strategies and Learning Motivation on the Outcomes of Islamic Education Learning in SMP Negeri 2 Bireuen
Authors: Rafida Tien , Idayani Evi
Published: May 2021

The purpose of this research was to determine: (1) the effect of the implementation of guided inquiry learning strategies on the learning outcomes of Islamic Religious Education, (2) the effect of learning motivation on learning outcomes of Islamic Religious Education, and (3) the interaction of learning strategies and learning motivation on learning outcomes of education. Islam. The research was conducted at SMP Negeri 2 Bireuen. This type of research is a quasi experiment. The study population was all students of class VIII spread over 6 classes. The sampling technique used was cluster random sampling. The data collection instruments were questionnaires and tests. The data analysis technique used was two-way analysis of variance in the α = 0.05 test. The results showed: (1) there was an effect of the implementation of guided inquiry learning strategies on student learning outcomes of Islamic Religious Education. In this case the learning outcomes of students who are taught with guided inquiry learning strategies are higher than the learning outcomes of Islamic Religious Education students taught with expository strategies. (2) there is an influence of learning motivation on students' learning outcomes of Islamic Religious Education, in this case the learning outcomes of students with high learning motivation are higher than the learning outcomes of Islamic Religious Education students with low motivation, and (3) there is an interaction between learning strategies and motivation. learning about student learning outcomes of Islamic Religious Education.