bluuebunny/crossref_metadata_2025 huggingface dataset:
«Гіпертензія білого халата»: сучасний стан проблеми
Authors: Uvarova K. H.
Published: July 2021

More than 30 years have passed since the first description of such a concept as white coat hypertension was presented in the scientific literature, but since then, scientists are paying more and more attention to this condition. White coat hypertension is defined when the blood pressure readings obtained in the doctor’s office meet the criteria for hypertension, but the latter is not confirmed by outpatient or home blood pressure monitoring. Initially, the term was only applied to patients who had not received antihypertensive treatment, but recently this definition has been extended to people who regularly take drugs for lowering blood pressure, and this condition was called uncontrolled white coat hypertension. Some of the world’s most influential organizations in the field of cardiology have not reached a consensus on the definition of white coat hypertension on the background of common criteria, which has affected the differences in blood pressure thresholds according to outpatient monitoring. Quite a few studies in recent years have examined the clinical and prognostic significance of white coat hypertension in terms of its probable effects such as metabolic disorders, subclinical and extracardiac target organ damage, cardiovascular morbidity and mortality, and all-cause mortality. At present, there is no doubt that white coat hypertension is not an innocent condition; however, hypotheses about the prognostic role of this condition and the management of patients with white coat hypertension are still controversial. The question of treating white coat hypertension as a condition remains unsolved and requires further investigation. Today, it is considered most appropriate not to prescribe antihypertensive treatment to persons with office blood pressure at normal or below target levels, but to intensify lifestyle modifications and focus on reduction of cardiovascular risk.
PENGEMBANGAN JOBSHEET TRAINER MIKROKONTROLLER ROBOT LENGAN BERBASIS ARDUINO UNO
Authors: L Ari Permana , Tupan Hendrik K , Hutagalung Riana , Masahida Zuleiha
Published: July 2021

Rendahnya  pemahaman  mahasiswa terhadap materi kuliah Mikrokontroler karena kurangnya peralatan dan modul praktek serta belum  memiliki pemahaman konsep yang komprehensif terhadap mikrokontroler. Kuliah  prasyarat  mikroprosesor yang  diambil  pada  semester  sebelumnya  belum dapat  dipahami  secara  utuh  dalam  kehidupan praktis. Metode yang digunakan dalam pengembangan produk trainer dan modul adalah metode Research and Development (R&D). Pengembangan dari job sheet pertama praktek kontrol motor servo ini menggunakan kontrol manual tanpa recoording posisi pergerakan lengan robot yakni dengan menggunakan 4 (empat) buah motor servo, tahanan (potensiometer) dengan mikrokontroller  arduino uno serta konstriksi lengan robot menggunakan bahan acrylic.Pengendalian robot lengan dengan kontrol motor servo dan miktokontroller arduino uno dapat dikendalikan berdasarkan variabel input perubahan dari nilai tahanan yang diberikan,setiap terjadi perubahan nilai tahan maka rotasi motor servo juga akan bergerak sesuai besar nilai tahan yang diberikan dan motor yang mampu bekerja dua arah (CW dan CCW). Arah  dan  sudut  pergerakan  rotor  motor  servo dapat  dikendalikan dengan memberikan variasi lebar pulsa (duty cycle) sinyal PWM pada bagian pin kontrolnya. Sudut kerja motor servo dikendalikan oleh sebuah pulsa selebar ± 20 ms, dimana lebar pulsa high antara 0.5 ms dan 2 ms. Ketika motor servo yang diberikan pulsa sebesar 1.5 ms mencapai gerakan 90°, maka apabila diberikan pulsa kurang dari 1.5 ms maka posisi mendekati 0°, dan apabila diberikan pulsa lebih dari 1.5 ms maka posisi mendekati 180°. Berdasarkan perhitungan torsi yang diangkat setiap lengan untuk bagian Pitch (Bagian Pergelangan) = 0,22 kg.cm, Elbow (Bagian Siku) = 0,48 kg.cm, Shoulder (Bagian Bahu) = 0,3 kg.cm. Komunikasi  interface  antara  aplikasi program  pengendali  dengan mikrokontroler  Arduino  Uno  terjadi proses  pengiriman  (Tx)  dan  penerima (Rx) data serial yang berupa data byte. Pengembangan program terdiri dari tiga bagian, yakni bagian pertama merupakan kode program standart dari modul MT-100 Arduino, Pengembangan program robot lengan tanpa recoording dan pengembangan program dengan recoording. Sehingga diharapkan dengan adanya modul ini dapat menarik minat mahasiswa dalam mempelajari mata kuliah mikrokontroller dan minat mahasiswa dalam bidang robotika.
Analisis Penentuan Konstanta Pengendali PID Menggunakan Garis Singgung Metode Ziegler-Nichols I pada Kurva Tanggapan Keluaran Plant
Authors: Salamena Vicky
Published: July 2021

The purpose of this study is to determine the PID controller constant using the Ziegler-Nichols type 1 method. This method applies the tangent-line position to the plant response curve to obtain the PID time constant which then obtains the PID controller constants.To get tangents line, a simulation of plant output responses in the matlab program is performed, from the output response curves plotted coordinate points ranging from 10% to 90% steady-state conditions in order to obtain the time and amplitude pair [x; y]. The coordinate pairs taken were 40% -60%, 30-70%, 20% -80% and 10% -90% steady-state conditions with the coordinat pair passing 50% coordinates of steady-state conditions.PID controller output response results to the constant excitation DC motor plant and AVR plant has a stable output response, control of the rise-time constant excitation DC motor and settling-time decreases so as to accelerate the plant to steady-state conditions, control of the AVR accelerates the plant reaches steady-state and decreases the amplitude of the overshoot and then oscillation period, and the best tangent-line coordinates for the PID controller output response are 20% -80%.
PENGARUH SUHU TERHADAP LAJU KOROSI BAJA KARBON RENDAH DALAM MEDIA AIR LAUT
Authors: Royani Ahmad
Published: July 2021

Penggunaan baja karbon dalam pembangunan infrastruktur kawasan maritim dan lepas pantai sangat rentan terhadap kerusakan akibat korosi. Untuk mengetahui pengaruh suhu terhadap laju korosi dari baja karbon tersebut, maka dilakukan pengkajian korosi dengan metode Tafel polarisasi linear secara elektrokimia pada media air laut. Ekstraspolasi Tafel dilakukan pada berbagai suhu dengan mengubah potensial elektroda secara otomatis. Hasil laju korsi baja karbon rendah pada media air laut pada suhu ruang, 37 oC dan 50 oC masing-masing sebesar 5,54 mpy; 11,91mpy dan 14,53 mpy. Kenaikan suhu akan menyebabkan bertambahnya kecepatan reaksi dan mengakibatkan laju korosi menjadi meningkat. Selain  faktor suhu larutan, korosi di media air laut juga dipengaruhi oleh kandungan oksigen terlarut, salinitas, pH dan total padatan terlarut.
ANALISIS WASTE MATERIAL KONSTRUKSI PADA PROYEK GEDUNG (STUDI KASUS PADA PROYEK GEDUNG DI KABUPATEN BADUNG)
Authors: Pertiwi IGAI Mas , Herlambang Fajar Surya , Kristinayanti W Sri
Published: July 2021

Kontribusi bidang konstruksi terhadap kerusakan alam diantaranya berasal dari pengambilan material, proses pengolahan material, distribusi material, proses konstruksi, pengambilan lahan untuk bangunan serta konsumsi energi pada operasional bangunan. Selain menimbulkan kerusakan alam pada saat pengambilan material, kegiatan konstruksi juga menghasilkan limbah yang cukup banyak. Salah  satu agenda  yang banyak diperbincangkan  untuk menanggulangi masalah global warming dan limbah konstruksi adalah melakukan   promosi sustainable construction atau yang sering disebut sebagai konstruksi berkelanjutan. Dalam konsep green construction salah satu hal yang perlu diperhatikan adalah pengelolaan limbah atau waste management. Tujuan penelitian ini adalah mengetahui jenis dan kuantitas sisa material konstruksi dominan yang timbul di proyek konstruksi dan mengkaji dampak sisa material konstruksi dominan tersebut terhadap lingkungan. Sampel penelitian adalah consumable material proyek konstruksi gedung di kabupaten Badung. Metode yang digunakan untuk pengumpulan data adalah pengamatan lapangan, wawancara dan penyebaran kuisioner. Analisis data menggunakan analisis kuantitatif untuk mengetahui jenis dan kuantitas sisa material konstruksi dengan menghitung waste index dan wastage level. Selanjutnya sisa material konstruksi tersebut dihitung waste cost untuk mengetahui besarnya kerugian biaya yang terjadi. Hasil penelitian terhadap variable waste dan penyebab terjadinya waste material yang terjadi pada proyek pembangunan Gedung adalah penambahan jenis pekerjaan dan pekerjaan struktur merupakan variable paling dominan terhadap terjadinya waste dan pekerjaan rework and repair, revisi dan distribusi gambar yang lambat serta perubahan desain merupakan faktor yang mempunyai dampak/pengaruh paling tinggi terhadap terjadinya waste. Sedangkan untuk jenis material proyek yang mempunyai prosentase terbesar sebagai waste adalah besi beton ulir, besi beton polos, batu bata dan keramik.
TINJAUAN PENERAPAN SISTEM MANAJEMEN KESELAMATAN DAN KESEHATAN KERJA PADA PROYEK BANGUNAN PEMERINTAH TIDAK SEDERHANA DI KOTA AMBON
Authors: Lelapary Grace , Oppier Imran , Buyang Christy Gery
Published: July 2021

Kota Ambon merupakan salah satu kota yang pembangunannya sedang gencar dilakukan pemerintah, karena itu banyak bangunan pemerintah yang dilakukan di Kota Ambon. Banyak pekerja pada proyek melakukan pekerjaan berat yang sangat berpotensi mengalami bahaya, sehingga diperlukan penerapan keselamatan dan kesehatan kerja (SMK3) yang baik untuk dapat mengurangi resiko. Penelitian ini bertujuan untuk mengetahui tingkat pelaksanaan sistem manajemen keselamatan dan kesehatan kerja (SMK3) pada proyek bangunan pemerintah tidak sederhana (BPTS)  di Kota Ambon. Metode yang diguankan pada penelitian ini adalah metode kuantitatif dengan cara observasi dan wawancara, metode ini cenderung pada hasil deskriptif dengan menggunakan Peraturan Menteri Pekerjaan Umum No. 9 Tahun 2008 dan diolah menggunakan Skala Likert sebagai ukuran untuk menentukan presentasi penerapan SMK3 pada proyek yang diteliti. Hasil penelitian pada faktor pertama yaitu faktor peraturan dan standar keselamatan kerja yang menjadi penghambat paling mendasar adalah perusahaan memberikan sanksi dengan presntasi 56.67%, faktor peraturan dan operasional, pekerja menolak pekejaan yang membahayakan dengan presentasi 49.17 % pada faktor pekerja, perusahaan menyediakan pintu darurat dan pemadam kebakaran dengan presentasi sebesar 48.33 % pada faktor lingkungan proyek, pekerja mendapatkan sosialisasi dengan presentasi sebesar 55.83% pada faktor menajemen keselamatan dan kesehatan kerja, dan perusaah melakukan pemeriksaan berkala sebesar 27.50 % pada faktor pelaksanaan K3.
ANALISIS MOMEN TULANGAN SISTEM RANGKA TERHADAP KAPASITAS LENTUR BALOK BETON BERTULANG
Authors: Frans Pieter L
Published: July 2021

Tulangan yang digunakan untuk balok beton pada saat ini umumnya berupa tulangan geser atau sengkang dipasang secara tegak lurus terhadap sumbu balok. Gagasan yang melatari tajuk permasalahan ini timbul dari hasil pengamatan penulis terhadap penggunaan tulangan sistem rangka balok beton bertulang dengan mengubah konfigurasi tulangan geser vertikal menjadi tulangan miring yang kurang akan teori terkait penggunaannya. Penelitian ini bertujuan untuk menganalisis kapasitas momen lentur balok beton tulangan sistem rangka dan menghasilkan persamanaan teoritis momen lentur penahan tulangan sistem rangka. Penelitian ini merupakan penelitian ekeperimental laboratorium dengan rancangan benda uji sebanyak dua belas  benda uji yang terdiri dari tiga balok normal (BN) sebagai balok variabel kontrol dan sembilan balok tulangan sistem rangka (BTR) sebagai variabel bebas. Data dianalisis dengan menggunakan metode kekuatan (strength design method). Hasil penelitian menunjukan bahwa penggunaan tulangan sistem rangka meningkatkan kekuatan balok pada saat mencapai beban ultimit terhadap kapasitas lentur dengan momen penahan rangka MPF pada balok BTR25 sebesar 10,23%, balok BTR50 sebesar 7,47% dan balok BTR75 sebesar 4,60%.
Steps to Supplement Park-and-Ride Public Transit Access with Ride-and-Ride Shuttles
Authors: Niles John S. , Pogodzinski J.M.
Published: July 2021

Public transit ridership in California declined in the five years before the pandemic of 2020–21 and dropped significantly further after the pandemic began. A sharp downward step in the level of transit boarding occurred after February 2020, and continues to the date of this report as a result of the public-health guidance on social distancing, expanded work-at-home, and a travel mode shift from public transit to private cars. A critical issue has come to the foreground of public transportation policy, namely, how to increase the quality and geographic reach of transit service to better serve the essential trips of mobility disadvantaged citizens who do not have access to private vehicle travel. The research focus of this report is an examination of the circumstances where fixed route bus route service could cost-effectively be replaced by on-demand microtransit, with equivalent overall zone-level efficiency and a higher quality of complete trip service. Research methods were reviews of documented agency experience, execution of simple simulations, and sketch-level analysis of 2019 performance reported in the National Transit Database. Available evidence is encouraging and suggestive, but not conclusive. The research found that substitutions of flexible microtransit for fixed route buses are already being piloted across the U.S., with promising performance results. The findings imply that action steps could be taken in California to expand and refine an emphasis on general purpose microtransit in corridors and zones with a relatively high fraction of potential travelers who are mobility disadvantaged, and where traditional bus routes are capturing fewer than 15 boardings per vehicle hour. To be sufficiently productive as fixed route replacements, microtransit service technologies in the same or larger zones need to be capable of achieving vehicle boardings of five per hour, a challenge worth addressing with technology applications. Delivery of microtransit service can be undertaken through contracts with a growing set of private sector firms, which are developing processes to merge general purpose customers with those now assigned to ADA-required paratransit and Medi-Cal-supported non-emergency medical transport.
University Science and Education in the Context of Artificial Intelligence
Authors: Endovitskiy D. A. , Gaidar K. A.
Published: July 2021

Computerization, digitalization, and robotization are the bright signs of modern life. In this regard, a long-standing scientific problem of artificial intelligence has now acquired a new sound and a variety of applied aspects. The higher education system has also become involved in the information technology orbit. Using the example of Voronezh State University, two main areas of informatization and computerization are revealed: first, the scientific development of artificial intelligence problems by university scientists and the use of artificial intelligence technologies for research, and, second, training of modern specialists in the field of IT technologies in specialized faculties and the expansion of the digital competence among the graduates of other training areas and specialties. The article discusses the need for students’ comprehensive acquaintance with this area of modern scientific knowledge which includes the capabilities of artificial intelligence technologies and its limitations as well.
Success and Development of Older Workers as a Challenge to Higher Education
Authors: Durakova I. B. , Mayer E. V.
Published: July 2021

The article implements an attempt to present the success of older workers in the conditions of the sporting paradigm and the formation of eco-thinking in organizations. The reasons for rethinking the prolonged working capacity of age workers as a “new normal” are shown. The article dwells on the features of teaching employment in higher education and makes the case for forming environmental conditions in universities to retain key professors and associate professors so that they can continue their creative work. The authors give characteristics of successful, healthy, active and productive ageing and suggest the measures that help to slow down the premature ageing of personnel.
Holding Period of Sharia and Conventional Bank’s Stock in Indonesian Capital Market
Authors: Rusmita Sylva Alif , Azaria Ainun
Published: July 2021

This study aims at determining the differences holding period of sharia commercial banks and conventional commercial banks on the IDX. This study uses a purposive sampling method, and from the specified criteria there were 7 samples gained from 3 Islamic Commercial Banks and 4 Conventional Commercial Banks that meet the criteria and can be used as samples. The data used is in the form of daily reports obtained from the IDX website from 2018 until 2019. The results of this study show the differences holding period in the Sharia Commercial Banks and Conventional Commercial Banks where holding period of conventional are longer than sharia. From the results of the study, it appears that investors are not faithful with Islamic stocks, investors consider the risks and benefits of investing.
A Study On The Policies And Procedures On Discretionary Trading Of Islamic Securities
Authors: Ahmad Nadzri Muhammad Affan , Muneeza Aishath
Published: July 2021

Discretionary trading is an investment that a stockbroker executes using clients’ account which is done without getting specific approval from the client on decision whether to buy or sell the stock holding in the portfolio. The investment is conducted based on the experience and strategies made by the person in charge of the investment. The objective of this research is to study the existing policies and procedures of discretionary trading in the market, determine the shariah compliance of current practice of market discretionary trading, and formulate suitable shariah parameters for discretionary trading of Islamic securities. This research employs qualitative methodology. The finding related for this topic is limited as the researcher is the main findings. From the researcher findings, it is found that the respondents shared almost similar experience, but it is expressed in different ways. Besides, the priority of shariah compliant discretionary trading is highly important to the Muslim investors as it can be alternatives for them to grow their capital and the practice of discretionary trading in each stockbroker is different from the others due to the flexibility of the current guideline. It is anticipated that the findings of research will assist future researcher to develop and formulate better variables for Islamic discretionary trading.
Mediated Superficiality and Misogyny Through Cool on Tinder
Authors: Lee Jin
Published: July 2021

Signaled in its reputation as a “hookup app” or “sex app,” the mobile dating app Tinder has been accused of having ignited “hookup culture” associated with superficiality and sexual innuendo. However, little is known about how Tinder has obtained this notoriety and what Tinder is actually responsible for. This study analyzes talks about Tinder on Reddit (/r/Tinder), as part of Tinder culture where Tinder discourse and norms are established and shared in relation to broader youth pairing culture. Through a lens of feminist media scholarship, I show that an association between Tinder and hookups is couched in a gendered code of conduct, coolness. I argue that this gendered coolness in the economy of visibility of Tinder evokes and justifies misogyny online in line with the sexism inherent to hookup culture.
Understanding Facebook’s Algorithm Could Change How You See Yourself
Authors: Papazoglou Alexis
Published: July 2021

WHEN WE GO online these days, we know we’re not alone: The internet is looking back at us. Our clicks give us the information and products we ask for, but at the same time they provide information about us. Algorithms then make use of that data to curate our search results, our social media feeds, and the advertisements we see. The internet ascribes an identity to its users, and projects it back to us.

The research behind the political campaigns run by Cambridge Analytica in 2016 suggested that a few Facebook likes are enough for an algorithm to identify our gender, personality traits, sexual orientation, religious and political beliefs. “Computer-based personality judgments,” two psychologists and a computer scientist claimed in a research paper in 2015, can “be more accurate than those made by humans.” The algorithms can end up knowing us better than our spouses do. If that’s true—not all researchers think it is—what does that mean for our own understanding of who we are? …
Attention Is Not a Resource but a Way of Being Alive to the World
Authors: Nixon Dan
Published: July 2021

‘WE ARE DROWNING in information, while starving for wisdom.’ Those were the words of the American biologist E O Wilson at the turn of the century. Fastforward to the smartphone era, and it’s easy to believe that our mental lives are now more fragmentary and scattered than ever. The ‘attention economy’ is a phrase that’s often used to make sense of what’s going on: it puts our attention as a limited resource at the centre of the informational ecosystem, with our various alerts and notifications locked in a constant battle to capture it.

That’s a helpful narrative in a world of information overload, and one in which our devices and apps are intentionally designed to get us hooked. Moreover, besides our own mental wellbeing, the attention economy offers a way of looking at some important social problems: from the worrying declines in measures of empathy through to the ‘weaponisation’ of social media.
How Much Can We Afford to Forget, if We Train Machines to Remember?
Authors: Tracy Gene
Published: July 2021

WHEN I WAS a student, in the distant past when most computers were still huge mainframes, I had a friend whose PhD advisor insisted that he carry out a long and difficult atomic theory calculation by hand. This led to page after page of pencil scratches, full of mistakes, so my friend finally gave in to his frustration. He snuck into the computer lab one night and wrote a short code to perform the calculation. Then he laboriously copied the output by hand, and gave it to his professor. 

Perfect, his advisor said—this shows you are a real physicist. The professor was never any the wiser about what had happened. While I’ve lost touch with my friend, I know many others who’ve gone on to forge successful careers in science without mastering the pencil-and-paper heroics of past generations.
Rayleigh Wave Dispersion Curve Inversion with the Artificial Bee Colony Algorithm
Authors: Wang Xin , Shen Hongyan , Li Xinxin , Li Qin , Wang Daoyuan
Published: July 2021

Rayleigh wave dispersion curve inversion is a non-linear iterative optimization process with multi-parameter and multi-extrema. It is difficult to carry out inversion and reconstruction of stratigraphic parameters quickly and accurately with a single linear or non-linear inversion for the data processing of Rayleigh waves with complex seismic geological conditions. We proposed a new method that combines artificial bee colony algorithm (ABC) and damped least squares algorithm (DLS) to invert Rayleigh wave dispersion curve. First, food sources are initialized in a large scale of the model based on the prior geological information. Then, after three kinds of bee operators (employed bees, onlooker bees and scout bees) transform each other and perform search optimization with several iterations, the targets are converged near the optimal solution to obtain an initial S-wave velocity model. Finally, the final S-wave velocity model is obtained by local optimization of DLS inversion with fast convergence and strong stability. The correctness of the method has been verified by one high-velocity interlayer model, and it was further applied to a real Rayleigh wave dataset. The results show that our method not only absorbs the advantages of ABC global search optimization and strong adaptability, but also makes full use of the advantages of DLS inversion, such as high accuracy and fast convergence speed. The inversion strategy can effectively suppress the inversion falling into local extrema, get rid of the dependence on an initial model, enhance the inversion stability, further improve the convergence speed and inversion accuracy, while has good anti-noise ability.
El hombre de negocios y la moral
Authors: Marina, S. J. Manuel
Published: July 2021

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I.- Magisterio eclesiástico
Authors: Redacción Consejo de
Published: July 2021

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II.- Crónica Social de España
Authors: Redacción Consejo de
Published: July 2021

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IV.-Crónica del Extranjero
Authors: Redacción Consejo de
Published: July 2021

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Política social de migración
Authors: Redacción Consejo de
Published: July 2021

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Comportamiento del cristiano ante el problema de la coexistencia
Authors: Gundlach, S. J. G.
Published: July 2021

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III Congreso Nacional de trabajadores
Authors: Del Valle S. I. Florentino
Published: July 2021

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Precios, presupuestos... y formación económico social
Authors: Redacción Consejo de
Published: July 2021

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El ideal profesional en el muchacho obrero
Authors: Losada, S. I. Alberto
Published: July 2021

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Verticalismo, Cooperativismo y Nacional-sindicalismo
Authors: Brugarola. S. I. Martín
Published: July 2021

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Estadísticas selectivas
Authors: Redacción Consejo de
Published: July 2021

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II.- Crónica Social de España
Authors: V. F.
Published: July 2021

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Moral individual y moral social
Authors: Zalba. S. I. M.
Published: July 2021

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A una misma meta por diferentes caminos
Authors: . Esemor
Published: July 2021

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Catolicidad hispánica en Nueva York
Authors: Mantilla, S. I. Sebastián
Published: July 2021

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¿Industrialización o distribución de la riqueza?
Authors: Arredondo, S. I. Agustín
Published: July 2021

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Pueblos hartos y pueblos hambrientos
Authors: Brugarola. S. I. Martín
Published: July 2021

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PROBLEM EFEKTIFITAS PENCEGAHAN COVID-19 DI INDONESIA DALAM PERSPEKTIF SOSIOLOGI HUKUM
Authors: Kusroh Lailiyah M. Syamsul Rizal, Athoillah Islamy,
Published: July 2021

The spread of the corona virus (Covid-19) has become a disaster and an international problem whose impact is experienced by all citizens of the world, including the citizens of Indonesia. Various efforts to prevent the spread of covid-19 have been carried out by the Indonesian government. One of them, is Pembatasan Sosial Berskala Besar (PSBB). Nevertheless, the implementation of the PSBB is not as easy as imagined. In practice, there is not a slight contestation between the objectives of the government and the personal interests of the individual community. Therefore, this study aims to describe the extent of the effectiveness of PSBB policies in Indonesia. This study is a qualitative study. The main data source used is various reports on the conditions of implementing PSBB in various regions of Indonesia, both in the mass media coverage and various scientific researches. Meanwhile, secondary data sources, namely various studies relevant to the subject matter of this study. This type of research approach is empirical normative research. Meanwhile, the theory used as a knife for analysis is the theory of legal effectiveness from Soerjono Soekanto. This study concludes that the implementation of the PSBB policy in several regions in Indonesia in its practical level has not been able to deliver effectively. This is because there are problems in four aspects of the PSBB implementation policy, namely the rule of law, law enforcement, public awareness, and facilities (facilities)
PICTURES IN READING COMPREHENSION
Authors: Arrasul Abdul Rabbi
Published: July 2021

The objective this research is to determine whether the use of pictures can improve students of class VII at SMPN 2 Bunta. This research used a quasi-experimental study that required a posttest for both groups. The population of this research was the students of class VII at SMPN 2 Bunta. The sample of this research  were class VIIA as an experimental class consisting of 22 students and class VIIB as a control class consisting of 20 students. In collecting data, the researcher used test. The test consisted of pretest and posttest. Data were analyzed statistically. After being analyzed, it was found that the result of the t-count was 2,45. With 40 degree of freedom, and a the significance level of 0,05, the t-table was 2,021.Therefore, the result of t-count is higher than t-table. The results showed that there was an increase, although not significant towards the use of pictures in improving students’ reading comprehension of class VII at SMPN 2 Bunta. It means that the hypothesis of this research is accepted.
Aerial Robots for Contact-Based Ultrasonic Thickness Measurements for Field Inspections
Authors: Dahlstrom Robert
Published: July 2021

Aerial robotic systems, also referred to as drones, enable the collection of data on a scale and scope heretofore unimaginable. Field inspections at industrial sites using an aerial robotic inspection system that makes physical contact with a structure or asset as part of a nondestructive testing (NDT) or nondestructive evaluation (NDE) routine is safer than placing humans at elevation and enables more data to be gathered in less time. These aerial robotic systems are highly extensible and agile enabling safer, faster, and better inspections. Robotic inspection systems are forecast to grow exponentially this decade and beyond, as asset owners and service providers realize their economic value creation, increased data collection, and safety contributions.
Automated Robotic Systems for Nondestructive Testing of Aerospace Composite Structures
Authors: Barry Fetzer
Published: July 2021

Automated robotic systems are becoming prevalent in many aerospace manufacturing applications, such as laser ablation, sanding, drilling, final assembly, and painting. There are significant advantages to using automated robotic systems for inspection purposes as well: versatility, speed, and repeatability, to name a few. This paper explores using an automated robotic system for the nondestructive testing (NDT) of composite parts. It has a focus on phased array ultrasonic testing (PAUT) but highlights modularity principles in the system that are not coupled to a single inspection method. Because of the articulation inherent in multi-axis robots, inspections of contoured structures become straightforward if the system modules are designed correctly. Examples of such modules, and their advantages when interfaced to an automated robotic system, are included in this paper. It is the author’s intent to show how these system modules might maximize robot capabilities for a broad range of aerospace inspections while keeping a simplistic design that is modular, fast, and straightforward to use. When compared to other aerospace manufacturing processes already using automated robotic systems, the use of robots for NDT seems not only prudent but a favorable goal. This paper offers practical building blocks for achieving this goal.
Dark Tourism in the EU: Are We Aware of Taking Part in It?
Authors: Juranović Nikolina , Slivar Iva , Kovačić Sanja
Published: July 2021

Dark tourism attractions and sites are gaining increasing attention, whereas dark tourism is considered one of the relatively recent and growing trends in the turbulent tourism market. Along with providing a theoretical framework, this paper aims to explore the tourism market of dark tourism and the motives of tourist demand. The perspectives of the population of the Republic of Croatia on dark tourism as a concept as well as the offer side of dark tourism are presented. These findings will be useful in designing and improving this kind of tourist offer, which also represents the main purpose of this paper. The research instrument was an original questionnaire. The main hypothesis of research refers to insufficient tourists’ awareness of their participation in dark tourism, which was confirmed by the carried research. The new frontier of research refers to their propensity of visit in case they would be aware of the tragic history related to a site; namely if they knew a site they visited previously is classified as a dark tourism site – would they still have chosen to visit it?
Structured Detail Extraction from Government Documents
Authors: Kallapur Shishir , Sinha Shourya , Kumar Vinay , Singh Shashank
Published: July 2021

Text recognition has been one of the most active and challenging research areas in the field of image processing and pattern recognition. This paper presents a method to extract various important data from government documents and store it in a JSON file and link different documents of a person so that different data can be used when required. The approach we have taken here is that first the user will have to upload the scanned copy of the document into the GUI and the data is extracted from the photo. We made sure to capture all the necessary data from the image so that even if some of the data in the image is in circular shape, the software captures all the data and from the captured data, we select the important data and store it in a JSON file.
Toxic Word Analyzer
Authors: Timbadia Dhairya
Published: July 2021

In this generation social media has been a huge part of our lives and there is no need to say that the current generation spend a huge amount of time on their social media accounts. Apart from there being a good social media influencer there are a lot of people who spread hatred among these influencers as well as among each other. I have tried to make a speedometer which would be able to tell the toxicity of the words that are basically used in the input sentence or paragraph. The main processing that would be done on the sentence or the paragraph would be removing punctuation marks, tokenization on the words, ‘Stop’ word removal, bigram creation, matching tokens with predefined dictionary, generating toxicity percent using scaling.
Magic XPI Integration Component - EDI
Authors: Patil Prof.(Dr.) S. T. , Jadhav Surabhi
Published: July 2021

The electronic data exchange between B2B partners through EDI (Electronic Data Interchange) enables your company to continuously digitize and automate business processes. This results in more efficiency and easy, as well as cost savings as per document, but requires the support of different formats, message standards, and communication protocols. Organization offers a standard solution for B2B integration and electronic data exchange with the Magic EDI Service Platform. Whether you are a customer, supplier you can now exchange data electronically with all your partners.
A study on factors that influence the choice of Motor Bikes in Chennai.
Authors: Padmavathi Dr. J. , Parthasarathi J.
Published: July 2021

The automobile industry is facing intense competition and there is an urge among the youngsters to own a popular bike. This study was undergone to analyze the factors that influence the choice of bike and to evaluate the customer behavior in decision making in buying bikes. The paper analyses the various brand that are looked for by different categories of users. It also performs a predictive analysis to customer behavior and their buying pattern based on age of the customer, style of the bike, cost, speed, technology etc.
Palm print Recognition using 2D Fourier Transformation and Integration Function
Authors: Kumar Abhilove , Mishra Apoorv
Published: July 2021

Palm print authentication technique is very powerful technique as compare with other technique and it is also very friendly with the user and environment. Palm is the mainly inner part of the hand which shows different features as compare with other in this it technique it mainly provide the path to authenticate the user or modify the user. In this technique we use phase based matching algorithm and if in this problems will occur then it reduce by using of Fourier Transform technique and Integration system. These techniques extract the features of the palm to modify it and there are so many features for extraction. In this we authenticate the user with applying some of the transformation where when we extract the feature vector then it will not give the accurate result. That's why we using this transformation technique in this which is very useful for the user.
Automated Quality Assessment of Crops Using CNN - Keras
Authors: Meghashree  , Mendonca Alwyn Edison , Shetty Ashika S
Published: July 2021

Plant disease is an on-going challenge for the farmers and it has been one of the major threats to the income and the food security. This project is used to classify plant leaf into diseased and healthy leaf,to improve the quality and quantity of agricultural production in the country. The innovative technology that helps in improve the quality and quantity in the agricultural field is the smart farming system. It represented the modern method that provides cost-effective disease detection and deep learning with convolutional neural networks (CNNs) has achieved large successfulness in the categorisation of different plant leaf diseases. CNN reads a really very larger picture in a simple way. CNN nearly utilised to examine visual imagery and are frequently working behind the scenes in image classification. To extract the general features and then classify them under multiple based upon the features detected. This project will help the farmers financially in increasing the production of the crop yield as well as the overall agricultural production. The paper reviews the expected methods of plant leaf disease detection system that facilitates the advancement in agriculture. It includes various phases such as image preprocessing, image classification, feature extraction and detecting healthy or diseased.
Multiobjective Optimization for Ceramic Hip Arthroplasty with Medical Physics Applications
Authors: Casesnoves Francisco
Published: July 2021

In a previous contribution a total hip arthroplasty optimization for metal materials was presented [5]. THA constitutes an important group among the most frequent used implants in Biomedical Engineering and Medical Devices research field. In this further multiobjective study, modelling and nonlinear optimization is performed with four commonly used ceramic materials for CoC hip arthroplasty—among the most surgically utilized currently. These are ZTA Biolox, ZTA Biolox-Delta, Alumina (Al3O2), and Zirconium (ZrO2). Numerical results for dual optimization show acceptable figures with low residuals. Results with algorithm of 2D Graphical Optimization and 3D Interior Multiobjective Optimization are proven, explained, shown acceptable. According to these optimal findings and calculations, the model parameters are mathematically demonstrated, and verified. Results of 2D graphics and 3D Interior Multiobjective Optimization to obtain the local minima are sharp. Optimization rising numbers match the model design because the hardness and experimentally-published erosion intervals of Alumina, Zirconia, ZTA Biolox and ZTA Biolox-Delta intervals overlap one another approximately. Medical-Mathematical Physics consequences emerge for new nonlinear multiobjective optimization algorithms. Based on these numerical multifunctional data results, applications in Biomedical Engineering devices and future Bioengineering/Biomaterials designs are guessed.
An Energy Efficient Clustering Algorithm for Network Lifetime in Wireless Sensor Network
Authors: Khuspare Madhuri N. , Khobragade Dr. Awani S.
Published: July 2021

In wireless sensor networks, information aggregation accept a fundamental part in lessening essentialness use. Starting late, investigate has focused on secure information aggregation due to the open and disagreeable condition passed on. The Homomorphic Encryption (HE) contrive is generally used to secure information grouping. In any case, HE-based information aggregation designs have the going with disservices: adaptability, unapproved aggregation, and obliged aggregation limits. To deal with these issues, we propose a safe information aggregation plot by solidifying homomorphic encryption development with a check plan. To answer this issue we exhibited a system addresses a procedure in that intense cluster head is picked based on the partition from the base station and remaining imperativeness. Consequent to picking the cluster head, it impacts use of minor measure of essentialness of sensor to organize and what's more improves the lifetime of the system of sensor arrange. Aggregation of the information got from the cluster people is commitment of cluster head in the cluster. Affirmation of information is done by the cluster head going before the information aggregation if information got isn't honest to goodness by then got information is discarded. Simply affirmed information is taken for aggregation at cluster head. Encryption is done by making use of homomorphic encryption procedure and also encoded information send to the cluster head and information disentangling is performed by base station (BS) for offering end to end security. An ID based stamp system is made for hop by hop authentication. In this paper, we demonstrate the method for recovering the information which is lost in light of the pad surge. In given system cache memory is given by the cluster head to recovery of information mishap. At long last test comes to fruition indicates depending upon parameter like time and furthermore essentialness usage on Jung test system that system showed is incredible appeared differently in relation to the open system.
IOT Based Coal Mine Safety Monitoring and Alerting System
Authors: Ansari Prof. A. H. , Shaikh Karishma , Kadu Pooja , Rishikesh Nikam
Published: July 2021

Safety is the most vital part of any type of industry. In the mining industry safety and security is a fundamental aspect of all. To avoid any types of accidents mining industry follows some basic precautions. Still accidents take place in underground mines due to rise in temperature, increased water level, and methane gas leakage. Here we provide safety to worker. When worker in danger he can press panic switch inform security. To enhance safety in underground mines, a reliable communication system must be established between workers in underground mines and fixed ground mine system. The communication network must not be interrupted at any moment and at any condition. A cost effective zigbee based wireless mine supervising system with early-warning intelligence is proposed in this project. Worker status can be monitor over IOT.
Identification of Tomato Seed Pathogens (Fungi) of Different Cultivars and Varieties in Maiduguri Borno State
Authors: B. Shehu I. , A. Kharall , B. Makinta
Published: July 2021

The experiment was conducted in the pathology of department of crop protection univesity of Maiduguri Borno state. Which is located at latitude 11051N and longitude 13015E to exermine or to isolate and identified the fungi pathogen responsible for damaging same tomatoes cultivars (Solanum lycopersicon) seed in maiduguri Borno state.The result show that the improve variety of tomatoes seed has number of fungal isolation in the sample where the fungal include Aspergillus niger, fusarium spp, penecillium spp .Whereby in the cullum, the Aspergillus were present. Just less in the following treatment T1(Rio grand), T2(Tema), T3(Uc-82B) Compared to that of fungal pathogen isolate in the local sample which are present T1(Seria dan zang), T2(Dan gashua), T3(Roman dan mazar), T4(Dan jino). Whereas in the Fusarium spp in the improved variety sample the fungal are present in T1(Rio grand), T2(Tema), T3(Uc -82B), and T5(Roa savannah) while in local variety sample the fungal pathogen are present in T1(Seria dan zang), T3(Roman dan mazar), T4(Dan jino) and T5(Utc) where in penilluim spp the fungal are present in the improve variety in T1(Rio grand), T2(Tema), T3(Uc-82B), and T5(Roma savannah) compared to that of the local variety sample which are in T2(Dan gashua), T3(Roman dan mazar) and T5(Utc) (Table1).Whereas in the mean disease index recorded on improved cultivars tomatoes. The result shows that T1with (98.14%) are recorded the highest index followed by T2(Tema) with (93.10%) while the least was recorded on T4(Roma vf) with (46.21%). (Table2) compared to that of local variety sample where by the highest disease index was recorded in T3(Roman dan mazar) with (100%) and the least was recorded on T1(Seria dan zang) with (97.23) and the least was recorded T4(Dan jino) with (92.26)(Table3).
Tracking of Aircrafts Using Software Defined Radio (SDR) With An Antenna
Authors: Kumar H. Venkatesh , G Surabhi. , V Neha , M Sandesh. Y. , S Sagar Kumar. H.
Published: July 2021

Automatic Dependent Surveillance-Broadcast (ADS-B) is one in all the favoured technologies employed in air traffic surveillance. The ADS- B uses a band of 1090 MHz. ADS-B is attended with the prevailing radar-based technologies to locate aircraft. The Next Generation Air Transportation System (NGATS) conflicts can be detected and resolved by the coexistence of radar systems and ADS-B. Here we tend to track the aircraft using Software Defined Radio, hence the complexness and the value of ADS-B system implementation is drastically reduced. SDR can receive multiple numbers of aircraft information like altitude, latitude, longitude, speed, and direction in real-time and displayed by using an appropriate antenna. The usage of SDR maximizes the coverage of data with accuracy and may accomplish timely.
Smart Attendance Management System Using Face Recognition
Authors: Reddy K. V. Prasad , Latha R. Chaitanya , Lohitha M. , Sonia R. , Usha A. B.
Published: July 2021

To Maintain the attendance record with day to day activities is a challenging task. The conventional method of calling name of each student is time consuming and there is always a chance of proxy attendance. The smart attendance management will replace the manual method, which takes a lot of time consuming and difficult to maintain. There are many biometric processes, in that face recognition is the best method. Here we are using the computer vision which is a field of deep learning that is used for the camera reading and writing and using TkInter to create a GUI application.
Synthesis of Gadolinium Nanoparticles as a CT-Scan Contrast Agent with Pulse Laser Ablation Method
Authors: Luthfia Adilla , Nurhasah Iis , Khumaeni Ali
Published: July 2021

The use of iodine contrast agents on CT Scan clinically shows a short-term blood circulation, non-specific biodistribution and causes side effects on kidneys. Nanoparticles have a longer half-time vascular than molecular contrast agents so it can be observed for a longer time after injection. Gadolinium (Z = 64) has a higher atomic number and X-ray absorbance coefficient than iodine (Z = 53) and does not have the negative effect on kidneys. The Gd nanoparticles development as a CT Scan contrast agent has potential to give more effectiveness than iodine contrast agents. In this study, Gd nanoparticles were synthesized using pulsed laser ablation method with wavelength 1064 nm, energy 45 mJ, and pulse width 7 ns. The ablation process was carried out for 180 minutes with repetition rate of 10 Hz and 15 Hz. The formation of Gd Nanoparticles was analyzed using UV-Vis spectrophotometer and FTIR (Fourier-Transform Infrared Spectroscopy). Testing the ability of Gd nanoparticles as a contrast agent was done in the diagnosis of head and abdomen using a CT Scan GE CT Optima 580 RT type 229156-3. UV-Vis spectrophotometer analysis showed that Gd nanoparticles had high absorbance at the wavelength less than 250 nm which indicated the formation of Gd2(OH)3 compounds. The repetition rate difference in ablation process resulted in the same concentration of Gd nanoparticles with different contrasts. Repetition rate of 10 Hz produced Gd nanoparticles with HU greater than repetition rate of 15 Hz and closer to HU of iodine. The results indicate that Gd nanoparticles can be used as a CT Scan contrast agent.