bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH MINUMAN KOPI ARABIKA (COFFEA ARABIKA L) TERHADAPKELARUTAN BAHAN TUMPATAN SEMENTARA CAVIT
Authors: Uswatun Mar'aty Leyly , Priyanto Rahmavidyanti
Published: August 2022

Latar Belakang: Cavit merupakan bahan tumpatan sementara gigi yang dapat beradaptasi dengandinding kavitas secara baik. Kelarutan bahan tumpatan sementara Cavit dapat dipengaruhi oleh cairan yangada di dalam rongga mulut seperti saliva, makanan dan minuman yang dikonsumsi sehari-hari. Bahantumpatan sementara Cavit akan mengalami kelarutan apabila terpapar oleh makanan atau minumandengan pH asam seperti kopi Arabika. Tujuan: Mengetahui pengaruh minuman kopi Arabika terhadapkelarutan bahan tumpatan sementara Cavit. Metode: Penelitian ini menggunakan desain penelitianExperimental laboratories dengan rancangan penelitian post test only control group design. Hasil: Analisisdata menggunakan uji One Way ANOVA menunjukkan nilai signifikansi ≤ 0.05 (0.000), sehingga terdapatperbedaan kelarutan bahan tumpatan sementara Cavit pada kelompok K1, P1, K2, P2. Kesimpulan:Berdasarkan penelitian ini, dapat diketahui bahwa lama waktu perendaman, minuman kopi Arabika yangbersifat asam, sifat bahan Cavit berupa kekerasan yang rendah berpengaruh terhadap kelarutan bahantumpatan sementara Cavit. Rata-rata nilai kelarutan paling tinggi terjadi pada bahan tumpatan sementaraCavit yang direndam dalam minuman kopi Arabika selama 21 jam. Rata-rata nilai kelarutan bahan tumpatansementara Cavit yang direndam dalam minuman kopi Arabika lebih tinggi dibandingkan dengan yangdirendam dalam saliva buatan.
PENGARUH KITOSAN-GELFOAM KULIT KAKAO TERHADAP ANGIOGENESIS PASCA EKSTRAKSI GIGI PENGGUNA ANTIKOAGULAN
Authors: Zahwa Nadira Hilwa , Swastirani Astika
Published: August 2022

Latar Belakang: Frekuensi perdarahan setelah pencabutan gigi menggunakan antikoagulan dengan jenisdabigatran, rivaroxaban, dan warfarin masing-masing adalah 1,65%, 3,41%, dan 3,63%, lebih tinggi daripadaindividu mereka yang tidak menerima antikoagulan yaitu 0,39%. Oleh karena itu, diperlukan agen hemostatik lokalyang dapat mempercepat proses hemostasis tanpa menghentikan penggunaan obat antikoagulan. Kitosan gelfoamekstrak kulit buah kakao merupakan agen hemostatik lokal yang diaplikasikan pada luka pasca ekstraksi gigi padapengguna antikoagulan. Senyawa kitosan dan polifenol dari kulit buah kakao berperan sebagai anti inflamasi dananti bakteri yang dapat mempercepat penyembuhan luka. Tujuan: mengetahui pengaruh kitosan gelfoam ekstrakkulit buah kakao dalam meningkatkan jumlah angiogenesis pada soket setelah pencabutan gigi tikus putih jantanStrain Wistar dengan terapi antikoagulan. Metode: Penelitian ini menggunakan 24 ekor tikus putih jantan StrainWistar yang telah diinjeksi oleh heparin. Sampel dibagi menjadi delapan kelompok yaitu kelompok kontrol negatif,kelompok kontrol positif yang diberi asam traneksamat oral, kelompok perlakuan menggunakan kitosan gelfoamekstrak buah kakao 1ml dan 10 ml pada hari ke 3 dan 7. Setelah itu, dilakukan pengamatan terhadap peningkatanjumlah angiogenesis pada soket setelah pencabutan gigi. Analisis yang digunakan yaitu One Way ANOVA dan PostHoc Tukey. Hasil Penelitian: Hasil uji statistik menunjukkan terdapat perbedaan yang yang signifikan yaitu (sig< 0.05) pada hari ke-3 dan ke-7. Kesimpulan: Dosis kitosan gelfoam ekstrak kulit buah kakao 10 ml memilikiefektivitas yang lebih baik dibandingkan dengan kitosan gelfoam ekstrak kulit buah kakao dengan dosis 1 ml padahari ke-3 dan ke-7.
DAMPAK Covid-19 TERHADAP SEKTOR EKONOMI, SOSIAL DAN KESEHATAN MENTAL : STUDI TINJAUAN LITERATUR
Authors: Fuadiyah Diena , Swastirani Astika , Sutanti Viranda , Isdati Fatimah , Herwinda Kirana , Maulina Huwaida
Published: August 2022

Latar Belakang: Pada tahun 2020, sebanyak 245.927.235 orang terjangkit oleh Covid-19 dan4.990.603 diantaranya meninggal dunia. Permasalahan ini memiliki dampak negatif dan positif diberbagai sektor.Tujuan: Tujuan penulisan artikel ini adalah untuk mengkaji berbagai literatur tentang dampak Covid-19 di bidangsosial, ekonomi dan kesehatan mental. Metode: Kami menggunakan Pubmed dan ScienceDirect sebagai basisdata elektronik utama dengan kriteria jurnal dalam Bahasa inggris dari tahun 2015 – 2020 dan membahasmengenai dampak Covid-19 terhadap sektor ekonomi, sosial dan kesehatan mental. Hasil: Total terdapat 40 jurnalyang meliputi artikel review dan penelitian telah teridentifikasi. Sebagian besar jurnal yang teridentifikasi sudahtersaring melalui kata kunci yang meliputi Covid-19, dampak sosial, kesehatan mental. Diskusi: Dampak positifdari penyebaran Covid-19 menjadikan masyarakat lebih menyadari perilaku hidup bersih dan sehat. Adapundampak negatifnya, PDB dunia mengalami penurunan karena terdapat kebijakan lockdown regional dan socialdistancing untuk mencegah penyebaran Covid-19 yang berpengaruh dalam penurunan jumlah buruh dan produksilokal, dan menyebabkan peningkatan isu kesehatan mental dimana masyarakat lebih emosional, depresi dan stresssehingga memicu timbulnya kejahatan seperti kekerasan fisik dan kekerasan seksual. Kesimpulan: Dampakpositif yang yang diakibatkan Covid-19 adalah manusia semakin sadar untuk menjaga kesehatan dan lebih peduliterhadap kebersihan, namun Covid-19 juga memberikan dampak negatif bidang ekonomi dan banyak masyarakatmengalami masalah kesehatan mental
Peran Pendidikan Klinik terhadap Pencapaian Kompetensi Radiologi Kedokteran Gigi pada Mahasiswa Profesi: Sebuah Tinjauan Literatur
Authors: Musfira Naadhira , Septina Farihah , Agnizarridlo Tubagus
Published: August 2022

Latar Belakang: Pendidikan klinik sudah dirancang untuk menghasilkan lulusan yang memiliki kompetensi dalamilmu kedokteran dan kedokteran gigi serta keterampilan dalam bidang kedokteran gigi. Kompetensi radiologikedokteran gigi merupakan salah satu capaian yang harus dipenuhi guna mencetak dokter gigi yang berkualitas.Mahasiswa profesi perlu mencapai kompetensi radiologi kedokteran gigi agar memperkecil kesalahan dankegagalan yang terjadi. Dalam menentukan diagnosis diperlukan kualitas radiograf yang baik, agar diagnosis tepatdan akurat. Namun, kesalahan dan kualitas radiograf yang kurang baik masih sering ditemukan sehinggamenyebabkan pengambilan radiograf ulang. Hal ini secara signifikan menambah kontak pasien dengan radiasi yangtidak sesuai dengan asas ALARA (As Low As Reasonably Achievable). Institusi memiliki peran penting dalammenanamkan pengetahuan pada mahasiswa sehingga frekuensi kegagalan radiograf dapat dikurangi. Maka,evaluasi dalam pendidikan kedokteran gigi perlu dilakukan untuk melihat tingkat kinerja sistem dan perencanaanmodifikasi sesuai kebutuhan teknis apabila diperlukan. Tujuan: Untuk mengetahui pengaruh pendidikan klinikterhadap pencapaian kompetensi radiologi kedokteran gigi pada mahasiswa profesi. Metode: Jenis penelitian yangdigunakan adalah Study Literatur Review (SLR). Metode SLR digunakan untuk mengidentifikasi, mengkaji,mengevaluasi, dan menafsirkan semua temuan literatur secara sistematis, yang pada setiap prosesnya mengikutilangkah-langkah atau protokol yang telah ditetapkan. Hasil: Tinjauan literatur ini membuktikan bahwa terdapatpengaruh pendidikan klinik terhadap pencapaian kompetensi radiologi kedokteran gigi pada mahasiswa profesi.Pendidikan klinik terbukti memberikan dampak positif dan pengaruh yang sangat besar terhadap peningkatanpemahaman interpretasi radiograf, peningkatan pemahaman optimalisasi dosis, dan penurunan presentasekesalahan pembuatan radiograf.
The Reduction in Medical Errors on Implementing an Intensive Care Information System in a Setting Where a Hospital Electronic Medical Record System is Already in Use: Retrospective Analysis
Authors: Seino Yusuke , Sato Nobuo , Idei Masafumi , Nomura Takeshi
Published: August 2022

Background

Although the various advantages of clinical information systems in intensive care units (ICUs), such as intensive care information systems (ICISs), have been reported, their role in preventing medical errors remains unclear.

Objective

This study aimed to investigate the changes in the incidence and type of errors in the ICU before and after ICIS implementation in a setting where a hospital electronic medical record system is already in use.

Methods

An ICIS was introduced to the general ICU of a university hospital. After a step-by-step implementation lasting 3 months, the ICIS was used for all patients starting from April 2019. We performed a retrospective analysis of the errors in the ICU during the 6-month period before and after ICIS implementation by using data from an incident reporting system, and the number, incidence rate, type, and patient outcome level of errors were determined.

Results

From April 2018 to September 2018, 755 patients were admitted to the ICU, and 719 patients were admitted from April 2019 to September 2019. The number of errors was 153 in the 2018 study period and 71 in the 2019 study period. The error incidence rates in 2018 and 2019 were 54.1 (95% CI 45.9-63.4) and 27.3 (95% CI 21.3-34.4) events per 1000 patient-days, respectively (P<.001). During both periods, there were no significant changes in the composition of the types of errors (P=.16), and the most common type of error was medication error.

Conclusions

ICIS implementation was temporally associated with a 50% reduction in the number and incidence rate of errors in the ICU. Although the most common type of error was medication error in both study periods, ICIS implementation significantly reduced the number and incidence rate of medication errors.

Trial Registration

University Hospital Medical Information Network Clinical Trials Registry UMIN000041471; https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000047345
Melatonin for Neuropathic Pain: Protocol for a Double-blind, Randomized Controlled Trial
Authors: Gilron Ian , Tu Dongsheng , Holden Ronald R , Moulin Dwight E , Duggan Scott , Milev Roumen
Published: August 2022

Background

Neuropathic pain (NP), a complication of several conditions (eg, diabetic neuropathy and varicella zoster), is a common challenging problem, and there is a growing need to develop safe and effective nonopioid treatments. Sleep disturbance is commonly associated with NP because pain intensity in NP conditions is often worse at night. The pineal hormone melatonin has been shown to reduce pain in both preclinical and clinical settings, in addition to multiple trials demonstrating efficacy for primary insomnia and delayed sleep phase syndrome.

Objective

We propose to conduct a clinical trial to evaluate the efficacy and safety of melatonin for NP.

Methods

Using a double-blind, placebo-controlled, crossover design, 30 adults with NP will be randomly allocated to one of two sequences of treatment with melatonin and placebo. During each of the two treatment periods, participants will take capsules containing melatonin or placebo for 4 weeks, followed by a 7-day washout period. The primary outcome will be mean daily pain intensity (scored 0-10) at maximally tolerated doses (MTDs) during each period. Secondary outcomes, assessed at MTDs, will include global improvement, adverse events, mood, and quality of life.

Results

This trial was registered in the International Standard Randomized Controlled Trial registry May 4, 2022 (ISRCTN #16215617), attained conditional ethics approval May 9, 2022 (Queen’s University Health Sciences & Affiliated Teaching Hospitals Research Ethics Board protocol number ANAE-387-22), and recruitment is set to start August 2022.

Conclusions

This trial will provide rigorous evidence comparing the efficacy of melatonin to that of placebo in the treatment of NP.

Trial Registration

ISRCTN Registry 16215617; https://www.isrctn.com/ISRCTN16215617

International Registered Report Identifier (IRRID)

PRR1-10.2196/40025
Integration of Wireless Sensor Networks in Environmental Monitoring Cyber Infrastructure
Authors: Praba C. Nithya , Kalaivani Dr. D.
Published: August 2022

Abstract: Wireless sensor networks (WSNs) have great potential to revolutionize many science and engineering domains. We present a novel environmental monitoring system with a focus on overall system architecture for seamless integration of wired and wireless sensors for long-term, remote, and near-real-time monitoring. We also present a unified framework for sensor data collection, management, visualization, dissemination, and exchange, conforming to the new Sensor Web Enablement standard. Some initial field testing results are also presented. The monitoring system is being integrated into the Texas Environmental Observatory infrastructure for long-term operation. As part of the integrated system, a new WSN-based soil moisture monitoring system is developed and deployed to support hydrologic monitoring and modeling research. This work represents a significant contribution to the empirical study of the emerging WSN technology. We address many practical issues in real-world application scenarios that are often neglected in the existing WSN research
Study the Seismic Behavior of Special Columns in Multi-Story (G+4) Building for Seismic Zone III
Authors: Krishna Himanshu , Yadav Prince
Published: August 2022

Abstract: Columns are RC building structural elements that are primarily subjected to axial load and moments as they transport them from the superstructure to the substructure. Columns of various shapes and sizes are used. Popular column shapes include square, rectangular, and circular columns, as well as L-shaped, T-shaped, and (+) shaped columns, which are uncommon but provide more interior space than commonly used column shapes. This study aims to examine the seismic performance of multistory G+4 buildings with Rectangular columns and building with specially shaped columns. According to IS Code 1893(part 1):2016, the proposed buildings are analyzed using equivalent static analysis for zone III in soil condition 3. ETABs are used to analyze the models. After analysis, we conclude that buildings having special columns are safer and have more space as compared to the regular shaped column buildings
On Board Complete Traffic Signalling System Using Image Processing
Authors: Lohitha M , Krishna M Bhargava
Published: August 2022

Abstract: In this paper, an on-board traffic signalling system which can easily curb the problem of traffic congestion using image processing techniques is presented. In this system, the images of the four sides of the road are captured and the vehicle density is calculated using the haarcascade. This density is used to sort the sides of the roads with the respect to the highest density among the 4 and evaluate its timer for the green signals which can last for maximum of 80 seconds. The traffic on the sides of the roads are released in this sorted order of the vehicle density. After a round of all the roads receiving the green signal, the images of the 4 sides of the roads are again captured and it continues.
Speed, Direction, Color and Type Identification of NHAI Expansions Using Deep Learning
Authors: R Parthiban , Sreerambabu Dr. J. , Riyaz M. Mohammed
Published: August 2022

Abstract: Vehicle numeration is associate interaction to appraise the road traffic thickness to judge the traffic conditions for shrewd transportation frameworks. With the broad use of cameras in metropolitan vehicle frameworks, the reconnaissance mission video has become a focal info supply to boot, constant traffic the board framework has become illustrious as lately owing to the accessibility of handheld/versatile cameras and machine learning investigation. In this work, propose video-based vehicle as well as technique in associate superhighway traffic video caught utilizing hand-held cameras. The primary and therefore the necessary step to estimate the vehicle flow; this later helps North American nation to count the vehicles victimization the virtual line Generally, we have a tendency to begin with the background subtraction to isolate moving objects. To facilitate crossing of vehicles with the road, we have a tendency to apply the detection of objects. Our system uses the LBPH (Local Binary Pattern Histogram) algorithmic program as a way to deduct the background, so as to use our numeration algorithmic program. Traffic observance is one space that utilizes Deep Learning for many functions. By exploitation cameras put in in some spots on the roads, several tasks like vehicle investigating, vehicle identification, traffic violation observance, vehicle speed observance, etc. will be completed. Deep Learning may be a common Machine Learning formula that's wide employed in several areas in current way of life. Its strong performance and ready-to-use frameworks and architectures allows many of us to develop varied Deep Learning-based code or systems to support human tasks and activities. During this paper, we tend to discuss a Deep Learning implementation to form a vehicle investigating system while not having to trace the vehicles movements. to reinforce the system performance and to cut back time in deploying Deep Learning design, therefore pre-trained model of YOLOv3 is employed during this analysis because of its sensible performance and moderate process time in object detection. This analysis aims to form a straightforward vehicle investigating system to assist human in classify and investigating the vehicles that cross the road. The investigating relies on four varieties of vehicle, i.e. car, motorcycle, bus, and truck, whereas previous analysis counts the automobile solely. because the result, our planned system capable to count the vehicles crossing the road supported video captured by camera with the very best accuracy of ninety seven.97%.
Effectiveness and Efficiency of the Existing Building in Seismic Zone-III: A Case Study of Hotel Kaashi Building in Ujire
Authors: R Vinay M , S Divyashree K , Shivani M R , N Prathiksha J , G Rakshitha
Published: August 2022

Abstract: Building irregularities are an important concern when they are subjected to strong earthquakes. In structures, an abrupt change in the vertical or plan configuration tends to weaken the stability. It is necessary to study how irregular structures respond to lateral loads in order to prevent failure and reduce the risk of hazards. In this case study, a G+3 storey building is modeled using the existing beam and column cross sections. In addition, models with reduced cross sectional areas of 5%, 10%, and 15% were developed and static linear analysis was performed using Etabs software in accordance with IS1893 (Part1):2016. The parameters considered in this study are storey displacement, storey drift, and base shear. The analytical results obtained are compared with those of the existing building model.
Intruder Detection System Using Image Processing
Authors: Kanoje Shubhankar , Chakraborty Soham , Chacko Jerrin Jiju , Bisht Mohit Hitendra , Malik Dr. Shaveta
Published: August 2022

In the modern era, security and surveillance are important issues. Recent acts of theft have highlighted the urgent need for efficient video surveillance and on-the-spotnotification of ongoing thefts to house owners. A number of surveillance solutions are currently available on the market for the populace, such as CCTV cameras and digital video recorders (DVRs) that can record the unauthorized activities of a trespasser, however they demand excessive amounts of investment in terms of funds and timeand cannot distinguish between authorised and non-authorised users in most cases. Also the commonly available systems are often targeted towards medium sized franchises and are out of reach of common people. The task of face detection and the recognition of an intruder become very difficult when the intruder hides their face partially or fully. Hence the following system makes use of a program to perform motion detection by analyzing the relative differences between two consecutive frames. To facilitate this process the frames are further processed using the various image processing methods for ensuring the highest possible precision while distinguishing genuine motion from ‘noise’ disturbance
Dhanalakshmi Srinivasan College of Arts and Science for Women - A Special Issue
Authors: Sowmiya K.
Published: August 2022

This special Issue is to create collections of Articles on specific topics. The aim is to build a community of authors and readers to discuss the latest research and develop new ideas and research directions.The articles in this issue are led by Editors who are experts in the subject and oversee the editorial process for papers.This provide a great platform to promote the break through research works.The potentially advanced special issue focussing on biomedical application from branches of life science, Chemistry andPhysics . This special issue is a join collaboration between Dhanalakshimi srinivasan College of Arts & Science for women Autonomous & International journal of Life Science & Pharma Research. This Provide a platform for the researchers to publish their innovative research findings.It was discussed Antibacterial ,Antifungal, Anticancer, Antioxidant and Anticonventional activities..It also included papers on phytochemical screening and pharmaceutical activity of medicinal plants andalso focused on biosynthesis of Nanomaterials and its Biological applications.The papers in this special issue broadly divided into the applications of Microbiology, Biotechnology,Biochemistry ,Chemistry and Physics.
Increased recombinant AAV production by HEK293 cells using small molecule chemical additives
Authors: Scarrott Joseph , Johari Yusuf B. , Pohle Thilo , Liu Ping , Mayer Ayda , James David
Published: August 2022

Recombinant adeno-associated virus (rAAV) has established itself as a
highly efficacious gene delivery vector with a well characterised safety
profile allowing broad clinical application. Recent successes in
rAAV-mediated gene therapy clinical trials will continue to drive demand
for improved rAAV production processes to reduce costs. Here we
demonstrate that small molecule bioactive chemical additives can
significantly increase recombinant AAV vector production by HEK cells up
to 3-fold. Nocodazole (an anti-mitotic agent) and M344 (a selective
histone deacetylase inhibitor) were identified as positive regulators of
rAAV8 genome titre in a microplate screening assay. Addition of
nocodazole to triple-transfected HEK293 suspension cells producing rAAV
arrested cells in G2/M phase, increased average cell volume, and reduced
viable cell density relative to untreated rAAV producing cells at
harvest.. Final crude genome vector titre from nocodazole treated
cultures was >2-fold higher compared to non-treated
cultures.. Further investigation showed nocodazole addition to cultures
to be time critical.Genome titre improvement was found to be scalable
and serotype independent across two distinct rAAV serotypes, rAAV8 and
rAAV9. Furthermore, a combination of M344 and nocodazole produced a
positive additive effect on rAAV8 genome titre, resulting in a 3-fold
increase in genome titre compared to untreated cells.
Complex Resilience and entropic Risks in Urban Megaprojects
Authors: Del Cerro Santamaria Gerardo
Published: August 2022

This paper explores issues of urban resilience and risk and presents some key conceptual and analytical elements to apply the notion of entropic risk to the analysis of urban megaprojects. The paper claims that the concept of risk needs to be understood together with that of resilience, and thus the paper starts by defining both urban resilience and risk. Entropic risks are defined as the disruptive and disorderly impacts of megaprojects in urban areas. The project management literature has been concerned with risks affecting megaprojects and has neglected the many kinds of risks and negative outcomes produced by them. This is due to their modeling of megaprojects as closed systems and to their focus on providing insights to contribute to megaproject performance improvement. The purpose of the paper is to shift attention from risks affecting megaprojects to risks produced by them for a better understanding of the damage produced by megaprojects.Urban systems and megaprojects are defined as complex adaptive innovation ecosystems, or networks of people in close proximity exchanging information and opinions, creating new knowledge and interacting, in actor-networks, with matter as well as other forms of human and non-human life. Megaprojects can be characterized as complex systems (organizationally and scale-wise) embedded in complex urban, political and socio-economic systems.
The New Silk Road as an green alternative for China-European Union transport – CO2 emission analysis
Authors: Bereziński Stanisław
Published: August 2022

The current climate policy of the European Union is aimed at reducing carbon dioxide emis-sions. This has a significant impact not only on the functioning of transport within the Union but also with its key partners. China has been the European Union's biggest partner for many years. Since 2013, that is, after the launch of the New Silk Road, along with sea and air transport, rail transport has also remained a viable transport alternative on that route. The conducted research showed that, taking into account CO2 emission measured with WTW and TTW method, rail transport between China and the European Union can be treated as a rela-tively green solution in comparison to other modes of transport. The shortcomings of these methods were indicated and the need to correctly present the length of the route for which the emission measurement was performed. Attention was also paid to the infrastructural limita-tions related to the further development of rail transport within the New Silk Road.
Road transport of dangerous goods in Poland
Authors: Budny Adrian , Rokicki Tomasz
Published: August 2022

Road transport of dangerous goods, due to their specific properties that may endanger people and the environment, is burdened with many procedures and numerous documentation relat-ed to the carriage and transport. Every year, the number of carriage of dangerous goods in-creases, which forces road users, especially people transporting these goods, to have a special entitlement that will allow for the safe transport of dangerous goods. The aim of the written assignment was to present the functioning of the transport of dangerous goods and the stand-ards and rules to be followed in order not to pose a threat at any stage of the movement of this type of cargo. It was found that the number of accidents and incidents resulting from road transport of hazardous materials in Poland grows slower than the volume of this transport. The reason is the better and better adherence to the safety procedure. To reduce the risk of a hazard in the road transport of dangerous goods, it is extremely important to comply with the ADR agreement, be familiar with the law and regulations.
Logistical organization of the Armed Forces of the Republic of Poland
Authors: Grudzień Adrian , Rokicki Tomasz
Published: August 2022

W pracy przedstawiono logistykę wojskową z uwzględnieniem norm prawno- administracyj-nych jakie w XXI wieku wpływały na kształtowane się współczesnego sytemu logistyki woj-skowej. Na wymiar wojskowego systemu logistycznego miały wpływ regulacje prawne zwią-zane z przystąpieniem Polski do sojuszu NATO. Podejmowane działania w ostatnich latach dotyczyły modernizacji całego systemu armii. W praca przedstawiono opis struktury organi-zacyjnej Sił Zbrojnych Rzeczypospolitej Polskiej (SZ RP) wraz z uwzględnieniem w niej sys-temu logistycznego, podzielonego na poszczególne szczeble hierarchiczno-organizacyjne woj-ska, a także scharakteryzowano obszary zabezpieczenia technicznego, transportowego oraz materiałowego Sił Zbrojnych RP. Były to elementy w największym stopniu odpowiadające za gotowość bojową armii.
Development of electromobility in Poland through the use of electric road transport
Authors: Koszowska Natalia , Rokicki Tomasz
Published: August 2022

The research study presents the subject related to the functioning of individual electric road transport and explains its influence on the development of electromobility in Poland. There were presented the importance of electromobility in the country, kinds of vehicles powered by electricity, the availability of charging infrastructure, advantages, and disadvantages of electric road transport. The conclusion was there are several problems of electromobility market development in Poland. The main barrier is the high price of purchasing an electric vehicle. The other problem includes insufficiently developed charging infrastructure, expen-sive installation of the individual power station, a limited number of kilometers to be driven on a single charge, and a long time of charging the battery.
Development of the de minimis guarantee programme for SMEs in the transportation sector in Poland. Does COVID-19 matter?
Authors: Wielechowski Michał , Czech Katarzyna , Weremczuk Arkadiusz , Wikarczyk Agnieszka , Zając Adam
Published: August 2022

The paper aims to present the functioning of the de minimis guarantee programme for SMEs in the transportation sector in Poland. Moreover, our study assesses the impact of COVID-19 on numbers and values of obtained guarantees by the analysed enterprises. We use data from Bank Gospodarstwa Krajowego, a state development bank. The research period covers 2013–2020. The government de minimis guarantee programme aims to support entrepreneurship using BGK guarantees to ease banking loan barriers for SMEs in Poland. The study reveals that the value of guarantees granted to SMEs in the transportation sector is continuously growing, while the number of guarantees fluctuates in the analysed period. Micro-enterprises obtain about 50% of the total value of all guarantees. SMEs in the transportation sector primarily use the de minimis guarantee programme to secure revolving working capital loans. We observe significant differences in the number and value of granted guarantees among 16 Polish voivodeships. The t-test analysis confirms that both numbers and values of credit guarantees are significantly greater in the COVID-19 than in the pre-COVID-19 year. Such results may indicate the deteriorating financial situation of the surveyed SMEs, resulting in the need to use de minimis guar antees to successfully borrow financial capital from the bank.
Analiza ryzyka jako element zarządzania bezpieczeństwem w łańcuchu dostaw
Authors: Zielińska Anetta
Published: August 2022

W trakcie badań dokonano identyfikacji zagrożeń i analizy ryzyka w łańcuchu dostaw pracownika zatrudnionego w magazynie wysokiego składowania. W badaniach podjęto próbę wartościowania ryzyka w celu określenia jego poziomu akceptowalności. Wyznaczono kategorię ryzyka z zastosowaniem metody risc score. Określono środki profilaktyczne obniżające ryzyko zawodowe na stanowisku pracy magazyniera. Z przeprowadzonej oceny ryzyka wynika, że wózek widłowego stanowi największe źródło zagrożenia w łańcuchu dostaw surowców, produktów, komponentów stanowi ryzyko nieakceptowalne na poziomie R = 540, co oznacza, że bez zastosowania środków profilaktycznych pracodawca nie może w sposób bezpieczny dopuścić pracowników do pracy. W ramach działań obniżających kategorię ryzyka zastosowano nowoczesne metody dodatkowego wyposażenia wózków widłowych m.in. w sygnalizacje świetlną informującą o nadjeżdżającym wózku za pomocą blue light oraz oznaczenia czerwonej strefy pracy wózka (red zone) jako niebezpiecznej. Z przeprowadzonych badań wynika, że po zastosowaniu środków profilaktycznych ryzyko dla stanowiska pracy magazyniera zostało ocenione w przedziale 0< = R <70 na poziomie akceptowalnym.
Wpływ pandemii COVID-19 na transport drogowy produktów zbożowych w Polsce
Authors: Ziółkowska Paulina
Published: August 2022

W opracowaniu przedstawiono rolę transportu dla gospodarki. Wraz z rozwojem gospodar-czym oraz globalizacją wzrasta potrzeba transportowania produktów. Wykazano jak wybuch pandemii Covid-19 zaburzył globalną gospodarkę, wywołał przestoje w firmach produkcyj-nych oraz zachwiał globalnymi łańcuchami dostaw. Branżą najbardziej odporną na kryzys wy-wołany wirusem SARS-Cov-2 okazał się sektor spożywczo – zbożowy. Zboże jest produktem pierwszej potrzeby, stanowi podstawę żywienia dla ludzi jak i zwierząt. Niestabilna sytuacja na świecie powodowała zwiększanie zapasów żywności przez kraje na całym świecie. Skutkowało to zwiększonym popytem na polskie zboże. Wymiana handlowa wywołała konieczność prze-mieszczania tych produktów, co doprowadziło do zwiększenia zapotrzebowania na usługi transportowe. Na potrzeby pracy przeprowadzono ankietę wśród 100 przedsiębiorców specja-lizujących się w transporcie zbóż. Dobór ankietowanych przedsiębiorstw został dokonany w sposób celowy. Celem badań była ocena jak pandemia Covid-19 wpłynęła na funkcjonowanie polskich przedsiębiorstw transportowych, zajmujących się przewozem zbóż w okresie od mar-ca 2020 do listopada 2021. Stwierdzono, że pandemia Covid-19 nie wywołała znacznych za-kłóceń w transporcie drogowym zboża w Polsce.
Digital e-CMR consignment note – added value for supply chain partners involved
Authors: Duda Sandra , Korczak Anna
Published: August 2022

The introduction of innovative solutions and digitization in the supply chain are the key to the rapid development of enterprises. The constant development of technology is an important aspect of the supply chain readiness to support Industry 4.0 logistics. One of the breakthrough solutions for paper documentation in the transport process is the lectronic e-CMR consignment note. The article reviews the literature in the field of digitization and digitization of documentation. A diagram is presented that explains the of implementing the e-CMR system were also presented
Tools used in intelligent transport systems of city logistics
Authors: Giera Julia , Kulińska Ewa , Mac Małgorzata
Published: August 2022

Cities are large areas with numerous buildings between which there is an extensive road infrastructure. A society lives in them, which in order to be able to function must move. The need to move, combined with a high population density in the city, causes a lot of traffic – especially road traffic. Improving road traffic flow and reducing road congestion enables the use of intelligent transport systems in city logistics. The aim of the article is to present the tools used in intelligent transport systems of urban logistics. The research methodology used is the development of a diagram in which individual ITS tools were assigned to the appropriate link of the transport environment. Due to the growing requirements of people traveling by public transport, telematics is an important element. The article presents the tools that the passengers of the research facility can use, and thus traveling becomes more effective and comfortable. The use of appropriate tools of intelligent transport systems means not only following the principles of proper and effective functioning of urban logistics areas, but also increased comfort of travelers and improvement of road traffic safety. Research on increasing capacity in cities is an important topic in urban logistics. The need to conduct research on urban agglomerations results from the systematic increase in the demand for effective movement of people in urban agglomerations. The scope of entities is a narrow research group, however, the indicated elements belonging to intelligent transport systems translate into the possibility of using them in most urban agglomerations.
Parking space occupancy as an example of a shared resource modelling problem
Authors: Kaczmar Ireneusz , Borusiewicz Andrzej , Kuboń Maciej , Żuchowski Ireneusz
Published: August 2022

City logistics is at the forefront of mainstream logistics. In the literature, definitions of this logistics include, among others, the issues of traffic flow and parking space availability in cities. There is a steady increase in the number of wheeled vehicles in cities of all sizes. This generates the problem of parking space availability. The limited amount of available parking resources, which will always be insufficient, especially with increasing vehicular traffic, causes the need for their rational use. In this paper, we analyse the problem of occupancy and demand for free parking spaces. A discrete simulation method was used. A stochastic model was developed in a computer environment, taking into account such parameters as: (a) density of traffic streams; (b) demand of vehicles for free space; (c) vehicle parking times; (d) actual parking space utilisation in examples. Simulations using the developed model were carried out for three car parks. These showed that only car park B maintained traffic flow, as it had enough spaces to handle the traffic flow. Car parks A, and B are inefficient and allow for a smooth parking period of 2 to 3 hours from a neutral state. However, this is impossible in practice as these car parks are never empty as there are always vehicles parked there. The simulation gives reliable results within a 90% confidence interval.
Telematics in car fleet management
Authors: Król Angelika , Rokicki Tomasz
Published: August 2022

This work describes the characteristic of telematics used in car fleet management. The main aim of the work was to show the functioning of telematics systems in car fleet management. The genesis and history of telematics were presented. Issues related to the types and functionalities of telematics systems were addressed. The benefits and risks of using the telematics system in fleet management are listed. The benefits are lower fuel costs, lower operating costs, faster delivery. Threats include concerns about employee privacy, costly system implementation, and difficulties in familiarizing employees with the new system. The above-mentioned benefits and threats show whether it is worth introducing telematics solutions in a given enterprise and what to pay attention to when choosing a telematics system. The difference in the use of telematics in the world as a result of uneven economic development of selected countries was shown. The value of the telematics market in car fleet management, which is growing every year, is presented. The study of the global vehicle telematics market penetration rate and GDP per capita showed differences in the development of the telematics market in selected countries due to uneven economic development. Most countries with higher GDP per capita had higher automotive telematics market penetration
Deployment of solutions in smart city on the example of Opole
Authors: Masłowski Dariusz
Published: August 2022

Smart cities are becoming an increasingly common concept. Metropolises are striving to be called Smart. In pursuit of certain goals, city authorities implement a number of improvements that enhance the condition of the city and make their solutions visible. From the resident’s perspective, such measures are sometimes awaited due to certain expectations. The actions currently undertaken in the city pave a certain path towards achieving this, although according to the inhabitants there is still a lack of solutions for the times of the 21st century. The solutions proposed in the article can be used to pave a path on which managers should strive to achieve their goals. From the research carried out, it can be concluded that the inhabitants of Opole look forward to improving the existing solutions, wanting to be on a par with other highly developed cities. The aim of this paper is to analyze the existing telematics solutions used in the city and to propose smart solutions in order to qualify the city as a smart city
Acquisition, transmission and management of data in industrial practice in the digital age
Authors: Rut Joanna , Bartoszuk Marian
Published: August 2022

Digital technologies permeate all aspects of industrial production and Logistics systems, accelerating the generation of large amounts of industrial data. Industry 4.0 and Industrial Internet of Things offers great development opportunities, new perspectives, a new paradigm of autonomous and decentralized production control. The information on the current status of industrial processes is invaluable in present times. Among others, it enables deliberate and rational management of available resources. Therefore, acquisition, transmission and management of data is an important issue in the systems for collecting data from production lines and a key element in the decision-making process. In industrial practice, the data acquisition process uses the information obtained from various sensors placed directly in production lines. The current level of microelectronics development enables acquisition and transfer of data from technological processes in real time. This article presents selected popular methods of automatic acquisition and transfer of data directly from production lines in the course of implementation of manufacturing processes. A review of all the issues discussed is supported by examples. Particular attention is paid to the nature and importance of data acquisition in the decisionmaking process. It was emphasized that the information itself is very important, but the value of information and the way it is processed and managed are also important. Data management in the unit optimizes the decision-making process and the work of the entire unit. On the other hand, data is a resource, the loss of which may result in the loss of competitive position or the loss of development opportunities.
The value chain in the digital age
Authors: Rut Joanna , Ostafil Marek
Published: August 2022

The fourth industrial revolution causes changes in the organization and functioning of many enterprises. Digital transformation is a multi-threaded process covering practically all areas of life and economy. Digital transformation means implementation information technologies in all areas of business functioning. Businesses, both large and small, must adapt to the standards of digital “reality”. Digitalization is the driving force that will shape the industry of the future. The potential of digitization can be seen throughout the value chain, from product design, manufacturing and business processes, a fully digitized customer path, to new customer acquisition and customer service, to supply automation. The implementation of digital technologies of Industry 4.0 has a huge impact on the entire value chain, streamlining production and processes, improving management and quality of products and services, optimizing relationships between customers and organizations, bringing new business development opportunities and many benefits. The value chain in the era of digitization is becoming an important element generating noticeable profits. The aim of the study is to present the value chain in the era of digitization in the context of Industry 4.0, including the identification of its most key elements, including the formulation of strategies based on digital resources that bring added value, allowing to compete in the market and at the same time set new standards and business models, and to show the significant benefits of digitization of the value chain.
PENENTUAN JARAK OBJEK PENGHALANG MENGGUNAKAN METODE PERHITUNGAN JARAK PIKSEL DARI HISTOGRAM PROYEKSI BERPANDUAN LASER GARIS
Authors: Wicaksono Ageng , Setyawan F. X. Arinto , Herlinawati Herlinawati
Published: August 2022

The rapid advancement of digital image processing technology is expected to facilitate human life in various aspects of life. This study aims to detect and determine the distance of a barrier object based on the detection of lines emitted by a line laser light beam using the Matlab programming language with the pixel distance calculation method. The pixel distance calculation method is used to detect lines in an image that is processed by looking at the consistency of the laser lines. This study uses a box as an object to determine the presence of obstructions from an image captured by a camera. In this study, the parameters of distance, camera angle, and line laser angle are used. Research data collection was carried out in the afternoon in a closed room with a light intensity of 10 lux. An object can be said to be a barrier if in an image there is a laser line that is broken or not at the same pixel position. However, if in an image there are consistent lines or no line changes, then the image can be said to have no barriers. Based on the evaluation of the distance accuracy calculation with data collection, it can actually be concluded that the distance accuracy when taking data is above 85%.
SISTEM KONTROL BEBAN DAN MONITORING DAYA BATERAI PADA PANEL SURYA 50WP UNTUK APLIKASI PENERANGAN BERBASIS INTERNET OF THINGS
Authors: Putri Michelin Radina , Setyawan F. X. Arinto , Sumadi Sumadi
Published: August 2022

Solar panels are the main device of a solar power generation system that functions to convert sunlight energy into electrical energy. The purpose of this study is to make it easier for users to monitor the voltage and current values in the battery generated by solar panels via smartphones with applications that have been designed, to develop tools and applications to monitor and control Internet of Things-based solar panels using the NodeMCU microcontroller so that they can be accessed via internet. The tool that will be made requires the INA219 sensor which will become one with the NodeMCU. In this study, it was found that the monocrystalline solar panel with a power of 50WP only has a de-efficiency value of 0.138%. In INA219 sensor measurement data, it can be seen that this data has a success value of 99.75% and a fairly small error value of 0.25%. On the INA219 sensor, the current value read is 0.014 to 0.712 A. This can be seen on the Blynk serial monitor.
LEARNING HOAX NEWS PADA LOCAL DAN CLOUD COMPUTING DEPLOYMENT MENGGUNAKAN GOOGLE APP ENGINE
Authors: Arbain Ahmad , Muhammad Meizano Ardhi , Septiana Trisya , Septama Hery Dian
Published: August 2022

Abstract. Hoax news is fake news that contains information that intentionally misleads people and has a specific political agenda. Along with the development of technological developments, the news is increasingly unclear whether the truth is only in accordance with facts or mere hoaxes. Based on this problem, hoax news is carried out, one of which uses a machine that can process news classification automatically. Machine learning is implemented using a framework called the Flask framework that can run on both on-premises servers and cloud computing. Local servers with computational limitations that are static in nature have problems running large computations on the hoax news classification system framework which is characterized by a predictable time schedule so that a distributed automatic-scaling computing system can handle cloud computing loads. Cloud computing offers compute load-sharing automatic scalability that can provide stable compute computing. So this research focuses on the application of the machine learning hoax news classification model into the framework of the machine learning deployment Platform as a Service (PaaS) model in Cloud computing called Google App Engine (GAE). The application of the hoax news classification system in the Google App Engine environment runs with an average prediction time of 11.53 seconds, better and more stable than the local server's average prediction of 17.50 seconds.