bluuebunny/crossref_metadata_2025 huggingface dataset:
Grasping My Roots
Authors: DeStefano Cara
Published: May 2023

Artist Statement
The American Family is a complex institution, and its idealization has held influence on my self-worth for my whole life. Being raised in the Christian faith imbued me with internal conflicts which came to light when my parents divorced. I had to reconcile traditional family structure and the truths I was raised to believe, with what I had actually experienced from adults in positions of power: mainly my father. Being a child of divorce is unsettling and the exposure I had to the judicial system silenced my voice and hindered my ability to advocate for myself.
The forms of human hands are used frequently to convey mood and body language between the subjects of my prints. Our hands can soothe or comfort, but also damage and manipulate. I have experienced both at the hands of family members and continue to struggle mending relationships from past trauma. Floral components reference the traditional, delicate nature of femininity in which I was brought up to embody. Flowers that hold familial significance are rendered to convey metaphor and the evolving stories within my larger body of work. This imagery also act as a tool for me to construct, examine, and then reshape gender expectations and recognize their impact on myself as a woman.
Constructing layered prints with controlled, delicate marks makes me feel secure. Deep thought can be applied to the conception and birth of a print, while a more mechanical thought takes precedence in the process of physical creation. This orderly system is my way of cataloguing my feelings in order to make something multifaceted yet engaging: something that will resonate with someone other than myself. Whether I am making a lithograph or monotype, printmaking allows me complete control over the representation of my experiences—something I was denied in the past. I am constantly subverting former influences as a way to move forward from the past and redefine myself into a new-found identity.
Images
"Grasping My Roots", 20"x24", Silkscreen on Lithograph with collage, 2022
"Hyacinth", 8"x12", Silkscreen on Lithograph, 2022
"Hues of the Mind", 18"x26", Silkscreen on Relief, 2022
Profitability Determinants of Transport Service and Warehouse Enterprises
Authors: Derkacz Arkadiusz J. , Dudziak Agnieszka , Stopka Ondrej , Stopková Mária
Published: May 2023

The main purpose of the research is to identify differences in the factors determining changes in the return on capital (ROE) of transport and warehouse enterprises in individual voivodeships in Poland. The research used the ROE decomposition method which was justified by mathematical aspects. It paid attention on the decomposition of relative differences shaping the changes in this specific indicator. The substantive basis is the modified 5-factor Du Pont model. This method allowed for analysing relative changes in three decision areas. These areas encompass operational, financial, and tax management. The findings confirmed that the differences in individual voivodeships compared to the entire section H in Poland result mainly from financial management. However, the examined differentiation was not dependent on tax management. The presented research results can represent the basis for the strategy of corporate management in section H in positioning against competitive enterprises in Poland. The research also allows for a macroeconomic analysis of the phenomena occurring in the transport as well as warehousing sector, especially in terms of changes in their profitability.
Tisztelgés – Ház a kőfejtőben
Authors: Moré Levente
Published: May 2023

Milyen lenyomatot hagyhat házainkon egy aranykor építészete, és mennyiben adekvát ma múltat idézni? Egyáltalán mi, európaiak be tudjuk-e fogadni a mai amerikai építészetet? Talán nem is lehetne jobb alap a válaszkeresésre egy nyugati parti villánál.
Nem csak hasábok
Authors: Módly Emőke
Published: May 2023

Nagykovácsi beépítettsége az 1960-as évek óta erősen növekszik, az Ófalu köré rendeződnek a beállt lakóterületek, de egyre jelennek meg az új, folyamatosan fejlődő részek. Míg az Ófaluban a kötött, hagyományos beépítések dominálnak, a fejlődő területek folyamatosan változnak, az épület tervezése óta ez a környék is jelentősen átalakult. A Zsíros-hegy lankáin fekvő telekre tervezte a Földes és Társai Építésziroda a Karsai-házat, ami természeti környezetével vonzó helyszínnek ígérkezett. A telek délre enyhén lejt, a lejtő irányába legyezőszerűen nyílik meg, így a kilátás kontrasztban áll a telkek párhuzamos osztásával. A tervezés során több tervváltozat is készült, ezek közül a megbízó választotta ki a neki legjobban tetsző megoldást.
PERAN KAMERAWAN DALAM PEMBUATAN PROGRAM FEATURE BERJUDUL "THE BEAUTY OF SAMOSIR ISLAND"
Authors: Maharsi Bisma Rafii Rizky , Suhendra Atmaja
Published: May 2023

Negara Indonesia memiliki banyak provinsi dan daerah, salah satunya provinsi Sumatera Utara. Daerah tersebut memiliki banyak sekali tempat pariwisata dan memiliki satu tempat wisata ternama yaitu Danau Toba yang berada di Pulau Samosir. Masyarakat adat di Pulau Samosir memiliki ciri khas untuk memperkenalkan budaya mereka kepada masyarakat luas untuk menarik wisatawan luas, dengan keindahan alam yang memanjakan mata dan adat budaya yang menarik menjadikan ciri khas tersendiri bagi Pulau Samosir. Karya ilmiah tugas akhir ini, penulis bertugas sebagai Kamerawan dalam pembuatan karya tugas akhir “the beauty of samosir island”, karya tugas akhir ini dikemas menjadi featureyang menceritakan hal-hal yang berada di pulau samosir. Narasumber yang digunakan dalam penelitian ini yaitu Prof. Hamdani Harahap selaku Antropologi Universitas Sumatera Utara, DRs. Mahler Tamba selaku kepala BPBD kabupaten Samosir, Jabiat Sagala selaku Sekda di kepulauan Samosir Wilmar Eliaser Simandjorang selaku masyarakat sekitar Kaldera. Penulis merumuskan masalah bagaimana peran seorang kamerawan yang memiliki tanggung jawab dalam pembuatan featureini pada tahap pra produksi, produksi, dan pasca produksi. Pada tahapan ini kamerawan berperan penting dalam segi pengambilan gambar. Salah satu peran penting sebagai kamerawan yaitu menentukan angle-angle pada proses pengambilan gambar. Dengan begitu penulis menghasilkan featuredengan manfaat secara akademisi, praktisi dan social. Pada penelitian ini metode pengumpulan data yang penulis gunakan yakni metode kualitatif untuk penulisan jurnal, makan menggunakan Teknik pengumpulan data seperti observasi, literasi serta melakukan wawancara langsung terhadap narasumber. Berdasarkan hasil akhir yang di dapat dalam sebuah produksi ini bertanggung jawab mengenai teknis pengambilan gambar. penulis cukup puas pada hasil akhir yang diciptakan. Dengan harapan penulis bisa mengedukasi bagi semua orang yang telah menonton feature ini.
Komunikasi Anonim Dalam Pemanfaatan Autobase Sebagai Media Informasi (Studi Netnografi pada Pengguna Akun @jogjamnfs di Twitter)
Authors: Cesar Heppy Prissilia , Aprilia Monika
Published: May 2023

Abstrak. Fungsi Twitter telah berkembang menjadi sebuah platform yang berguna untuk berbagai macam hal dengan munculnya akun autobase di Twitter. Autobase mengumpulkan orang-orang dengan kesukaan ataupun minat yang sama untuk saling berkumpul, berdiskusi dan berbagi informasi mengenai hal yang menjadi topik di akun base tersebut. Pengguna dapat mengirim pesan atau informasi melalui direct message yang terdapat pada akun autobase yang diikuti. Pesan atau yang lebih akrab disebut dengan menfess akan terkirim secara otomatis dan muncul di timeline yang dapat direspon oleh pengikut akun tersebut. Penelitian ini bertujuan untuk menganalisis komunikasi secara anonim dalam pemanfaatan akun @jogjamnfs sebagai media informasi dengan melibatkan tiga pandangan, yaitu: admin, pengirim pesan, dan penerima pesan. Penelitian yang dilakukan merupakan penelitian kualitatif dengan studi netnografi. Teknik pengumpulan data didalam penelitian ini yaitu dengan melakukan wawancara dan observasi. Peneliti akan mewawancarai informan sebanyak 5 orang  yaitu satu admin,  dua pengirim menfess, dan dua penerima menfess melalui pesan yang dikirimkan melalui fitur direct massage yang ada didalam Twitter. Selanjutnya, peneliti akan melakukan teknik analisis data yaitu dengan reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian ini menunjukkan bahwa akun @jogjamnfs bermanfaat sebagai sarana media informasi dan hal lain dalam lingkup Yogyakarta bagi pengikut akun tersebut. Dengan menggunakan sistem yang anonim memberikan kenyaman bagi para pengikut akun @jogjamnfs untuk saling berkirim dan menjawab menfess di akun @jogjamnfs.Kata Kunci: Anonimitas, Autobase, Menfess, Twitter
Strategi Pelaksanaan Coorporate Social Responsibility Dan Kendala Pelaksanaannya Pada Pt. Mifa Bersaudara
Authors: Tarigan Beny Primza , Wardana Nazwa Azura Citra
Published: May 2023

Coorporate Social Responsibility (CSR) merupakan program wajib bagi suatu perusahaan dalam keberadaannya di tengah lingkungan masyarakat. Pengaturan tentang CSR juga terdapat dalam Undang-Undang. CSR didasarkan atas kepentingan stakeholders perusahaan dan untuk meningkatkan reputasi perusahaan. Dalam penerapannya juga tidak jarang terkendala dan akhirnya gagal dalam penerapan program CSR. Kendala yang dirasakan perusahaan berasal dari internal dan eksternal perusahaan itu sendiri. Diperlukan strategi yang juga harus dikombinasikan dengan Sumber Daya Manusia perusahaan yang berkualitas untuk mengatasi kendala tersebut dan untuk melaksanakan CSR dengan baik. Strategi yang baik adalah strategi yang dikomunikasikan kepada masyarakat sasaran. CSR tidak selesai pada output, tetapi pada outcome. CSR yang baik selalu identik dengan pemberdayaan, keberlanjutan, dan pembentukan mental masyarakat agar mampu berkembang lebih luas lagi. Terdapat juga kesalahan pengetahuan dan interpretasi perusahaan mengenai CSR dalam praktiknya yang mengakibatkan gagalnya program CSR.  Jurnal ini bertujuan untuk mengetahui strategi pelaksanaan CSR perusahaan yang sudah berhasil melakukannya. Selain itu, bertujuan juga mengetahui kendala yang dialami perusahaan ketika melaksanakannya. Dengan mengetahui kendala, maka akan ditemukan solusi yang baik agar CSR selanjutnya dapat berjalan dengan baik. Metode yang digunakan dalam penelitian ini adalah studi kepustakaan. Hasil penelitian menunjukkan hasil pemahaman dan interpretasi baru tentang kebervariatifan CSR dalam Undang-Undang sehingga pelaksanaannya dapat dijalankan dengan baik.
COMPARISON OF K-N EAREST NEIGHBOR AND NAÏVE BAYES ALGORITHMS FOR PREDICTION OF APTIKOM MEMBERSHIP ACTIVITY EXTENSION IN 2023
Authors: Adjani Kannisa , Fauzia Fathia Alisha , Juliane Christina
Published: May 2023

So far APTIKOM as the Informatics and Computer Higher Education Association has provided many opportunities for registered members to participate in discussions on the development of science among fellow association members, access to various professional experts, as well as technical and non-technical guidelines in the field of education. With the various opportunities above, it is hoped that all members will support the activities of each member who has joined or has just joined so that a good association can be created. This study aims to find out about the problems that occur in APTIKOM, namely members who have registered as members but rarely renew their membership which results in data accumulation in APTIKOM. This research method uses the k-nn and naïve Bayes algorithms by using data sets from 2012 to 2022. The dataset used is APTIKOM member data and has 5 attributes namely name, gender, last education, institution and validation secret. To calculate the research test using a rapid miner. The purpose of this study is to predict whether in the following year there will be a membership renewal process for all APTIKOM members who have been recorded from 2012 to 2022. Furthermore, the results of this study have a different level of accuracy. Where for k-nn the resulting accuracy is 94.00% and for the result of naïve Bayes is 91.35%.
Theoretical Analysis of Standard Selection Sort Algorithm
Authors: Purnomo Rakhmat , Putra Tri Dharma
Published: May 2023

Sorting algorithms plays an important role in the computer science field. Many applications use sorting algorithm. There are several sorting algorithms proposed by experts, namely bubble sort, exchange short, insertion short, heap sort, quick short, merge sort, standard selection sort. One well-known algorithm of sorting is selection sort. In this journal, discussion about standard selection sort is given with thorough analysis. Sorting is very important data structure concepts that has an important role in memory management, file management, in computer science in general, and in many real-life applications. Different sorting algorithms have differences in terms of time complexity, memory use, efficiency, and other factors. There are many sorting algorithms exist right now in the computer science field. Each algorithm has its benefits and limitations where a trade-off exists between execution time and the nature of the complexity of the algorithm itself. The method is theoretical analysis. Three theoretical analyses are given with deep explanation and analysis. Each with six index arrays, namely with six data on it. The numbers are sorted in ascending order. Pseudo code is also given, to understand this algorithm more thoroughly. It is concluded that this theoretical analysis explained the algorithm more clearly, by using process iteration by hand.
Blockchain Technology For Circular Economy In Plastic Bank
Authors: Priyana I Putu Okta , Utami Made Ayu Jayanti Prita , Saputra Upayana Wiguna Eka
Published: May 2023

With the use of blockchain technology, this research sought to understand the applications, benefits, and limitations faced by circular economy-based businesses. This research was conducted at the Plastic Bank Company, which used a digital conference room to allow interviews that could not be conducted in person, as well as the researcher's residence for online data gathering and document review. Five management members of the Plastic Bank Company comprise the sample population. The information used is first-hand information derived from interview findings. In order to acquire data, several methods including interviews, document analysis, and observation were applied and tested by Triangulation. The findings of this study revealed: 1) Companies with a circular economy may employ blockchain technology to change supply chain operations, tracking, and tracing. 2) Blockchain technology has benefits for businesses based on the circular economy, including easier distribution management, less duplicate papers, increased cost effectiveness, and the ability to turn plastic trash into digital cash. 3) The general public is still unaware of the use of blockchain technology for businesses that rely on the circular economy. Furthermore, the company's success is constrained on a small scale due to the absence of finance from affiliated parties. Therefore, in order to grow the use of technology on a big scale, this circular-based economy firm for plastic banks has to strengthen its performance and efforts.
Comparison of the K-Means Algorithm and C4.5 Against Sales Data
Authors: Wijaya Eko Bambang , Dharma Abdi , Heyneker Daniel , Vanness Jeff
Published: May 2023

In general, the process of collecting and grouping data requires a long process. And if it has to be grouped manually it takes a very long time. Therefore, data mining is a solution for clustering data - a lot of data to classify it. In this research conducted at CV.Togu - Togu On Medan Branch, data mining is applied using the K-Means process model and the C4.5 algorithm which provides a standard process for using data mining in various fields used in classification because the results of this method easy to understand and easy to interpret. . The K-means method is a non-herarical method which is an algorithmic technique for grouping items into k clusters by minimizing the distance of the SS (sum of square) to the cluster centroid. In the K-means method, the number of clusters can be determined by the researcher himself. And the testing methods used to measure cluster quality are the Silhouette Coefficient and the Elbow Method. Based on the research conducted, there are significant differences before and after using the two methods. The results of the K-Means algorithm will be compared with the results of the C4.5 algorithm in the form of rules (decision trees). This research produces data on goods that have the highest level of sales/behavior
Safe Security System Using Face Recognition Based on IoT
Authors: Putra Ondra Eka , Devita Retno , Wahyudi Niko
Published: May 2023

Face recognition is widely used in various applications, especially in the field of surveillance and security systems. This study aims to design and build a safe security system using face recognition via camera based on internet of things. This system uses the Raspberry Pi 3B and the OpenCV library as face recognition data processing which produces output on the Selenoid to open and close the safe, LCD 16x2 to display system status, IoT-based email delivery when smugglers occur. This study performs face recognition through the face detection stage using the Viola Jones method, feature extraction using the PCA (Principal Component Analysis) method and face recognition, then matched with the existing profile data in the directory. The results of this study indicate that the safe is open when a face is detected and will send a face capture to the e-mail address of the owner’s safe if the detected face is not recognized. Tests carried out on the safe security system using face recognition based on IoT build reach validity 90,25%.
Analysis of the Decision Tree Method for Determining Interest in Prospective Student College
Authors: Maizura Safrina , Sihombing Volvo , Dar Muhammad Halmi
Published: May 2023

Education is learning science, skills that are carried out by a person or a group of people. The education level starts from Elementary School Education, Junior High School and High School. Apart from that, the highest level of education is college. Lectures are further education carried out by people to gain knowledge and degrees. In college education everyone can choose their respective majors, according to their wishes and desires. With college education, there will be many prospective students who will go to college. But the interest of prospective students to study varies, there are some prospective students who want to study in public and there are some who want to study privately. Therefore the author will make research about prospective students' interest in college. This study aims to see the college interest of prospective students. For this research a data classification of prospective students will be carried out using the Decision Tree method. For this research stage using the Decision Tree method, the first is data analysis, then data preprocessing, then the Decision Tree method design and finally data mining testing. The classification was carried out using the Decision Tree method using 65 prospective student data. From the results of the classification using the Decision Tree method, the results of the Classification of prospective students who are interested in studying are 46 prospective students. The classification results above show that many prospective students are interested in studying.
Black Box Testing of the "Hybrid Engine" Application Using Boundary Value Analysis Technique
Authors: Megawati Citra Dewi , Miwa Nina Deskartika , Palevi Bima Romadhon Parada Dian
Published: May 2023

The "Hybrid Engine" application is an introduction to a hybrid engine that is packaged attractively and can be accessed online, this application is very important for conveying information about hybrid engines, if an error occurs in the functional application there can be misunderstandings about the information conveyed. Therefore it is necessary to test to ensure the quality of the application that has been produced. Testing is an evaluation process of assessing the functional quality of software to check whether the software meets the expected process or not. Functional processes that have not been maximized can cause inequalities in the data information to be displayed. Applications that have been designed must go through the testing stages to ensure the level of functional quality. Of the several types of black box testing methods, one of them is Boundary Value Analysis. The method tests the maximum and minimum number of digits to produce a valid value and is easy enough to test "hybrid engine" applications. The first stage carried out in this research is to identify the functionality to be processed and ensure that the maximum and minimum number of digits matches the predetermined system arrangement. The result of applying the method used is that the quality of the application is under its function, and can be utilized properly by the user. The results of the Boundary Value Analysis test show that the application is following the expected system and instructions with a success percentage of  78.245615%.
Implementation of IPv6 using 6RD Method on Power Line Communication Network
Authors: Siregar Yasir Al-Farizi , Suhatman Rahmat
Published: May 2023

The development of computer network technology is rapidly advancing in response to society's increasing demand for network services. Currently, the most widely used network protocol is IPv4, but it has some limitations. To address these limitations, a new network protocol, IPv6, has been developed. More and more new network devices are using IPv6 as their IP address, while many existing technologies and internet devices still use IPv4. Therefore, a mechanism is required to transition from IPv4 to IPv6. The 6RD tunneling method is used in Power Line Communication networks to connect two or more network devices using electrical wiring as a data transmission medium. The Power Line is equipped with a charger for a laptop and a drill, creating a load to test the performance of the Quality of Service(QoS) with the throughput parameter. The measured Rerate throughput upload was 11800 Kbit/s without any additional electrical load, 9377.8 Kbit/s with a laptop charger as an additional load, and 6082.2 Kbit/s with a drill as an additional load. The Rerate throughput download was 8098.8 Kbit/s without any additional electrical load, 7782.8 Kbit/s with a laptop charger as an additional load, and 5996 Kbit/s with a laptop charger and a drill as additional loads. With this transition mechanism, IPv4 can communicate with IPv6, allowing for more efficient network communication.
Os desafios dos profissionais de enfermagem frente a pandemia da COVID-19
Authors: Gomes Joelson Sabino , Pinho Antonia Katia Dourado , Miranda Claudiana da Silva , Sousa Railson Muniz de , Castro Ellen Caroline Lima , Costa Mariana da Cunha
Published: May 2023

Objetivo: avaliar o papel da enfermagem frente a pandemia da COVID-19 e determinar os impactos sofridos pelos profissionais diante desse novo cenário. Metodologia: revisão integrativa com o levantamento nas seguintes bases de dados, biblioteca virtual em saúde (BVS), Base de Dados de Enfermagem (BENDF) e SciELO. Resultados: a amostra final desta revisão foi constituída por 16 artigos, selecionados pelos critérios de inclusão previamente estabelecidos, evidenciando sobre o papel do profissional de enfermagem na pandemia, enfatizando as dificuldades que estão impostas e a exposição em que os mesmos se encontram diante do cenário referido. Conclusão: ao final, fica evidente que o papel da enfermagem é de suma importância no âmbito de assistência ao cliente, entretanto, necessita de mais auxílio para delinear e dá suporte à sistematização com melhor qualidade, conseguindo atender às necessidades de forma satisfatória, sem preocupações aos desafios e às incertezas que venham trilhar o âmbito de trabalho.
Being beautiful and successful: a bibliometric analysis on the consumption of orofacial harmonization for esthetic purposes, attractiveness, and materialism
Authors: Lemos João Roberto Rocha , Rigo Danielle Cristina Alves , Cardoso Mariane , Bervian Luciana Merlin
Published: May 2023

Actuality there is a consumer trend focused on body image, where being beautiful is synonymous with being successful. The search for attractiveness and the emphasis on materialistic values influence the consumption of products that can enhance appearance. The belief that symmetrical and more attractive faces indicate more successful people can lead to a significant increase in demand for esthetic procedures for orofacial harmonization. A bibliometric study at Web of Science Core Collection (WoS-CC) was conducted on July 03, 2021, to examine the scientific production on the influence of materialism and attractiveness on the demand procedures for orofacial harmonization with esthetic purposes. A search was conducted in WoS-CC from 2005 to 2021. The results showed that the year with the greatest scientific production on the proposed topic was 2020, and the country with the highest number of publications was the United States. The most frequently used keywords were "attractiveness," "beauty," "face," and "body image," and the two most cited authors were Laura Hurd Clarke and Meredith Griffin, who each had 151 citations. The subject area with the highest production was surgery. This study presented an overview of the global trend of scientific production on the subject. The results presented here also allow us to conclude that there seems to be a tendency to study the follow-up of changes in the behavior of the consumer of aesthetic orofacial harmonization procedures.
Profissionais de saúde frente às infecções relacionadas à assistência: enfatizando a atuação da enfermagem
Authors: Lopes Laura Ariele Pereira , Sousa Yslla Adriana Silva , Moreira Filho Tiberio Cesar dos Santos , Cardoso Maria Selma Gomes , Moreira Tilara Amélia Oliveira , Feitosa Luís Cláudio Damasceno , Assis Paulo Ronaldo Sousa de
Published: May 2023

A infecção hospitalar é uma síndrome infecciosa que pode se manifestar durante o período de internação e estão relacionadas com alguns fatores intra-hospitalares, como o manuseio incorreto de alguns materiais. O objetivo deste estudo foi abordar aspectos que norteiam a importância dos profissionais da saúde com ênfase no papel dos profissionais enfermeiros na assistência do paciente acometido de infecção hospitalar. Trata-se de uma revisão de literatura, nas quais foram encontrados 2.547 trabalhos. A partir do estudo é possível observar que é imprescindível o uso de EPI's pelos profissionais da saúde, tendo em vista uma proteção do enfermeiro e, posteriormente, evita a disseminação de infecções para o paciente. Além disso, pesquisas mostraram que o número de pacientes que adquirem a infeção se torna significativamente maior, 50%, quando a quantidade de profissionais não é proporcional à de enfermos, levando em consideração a sobrecarga e a carência de pessoas capacitadas. Diante disso, vale salientar que a educação continuada possui sua relevância nesse assunto, pois é importante que os enfermeiros estejam sempre atualizados sobre as diversas doenças, seu controle e tratamento. Observou-se que a segurança do paciente deve ser tomada a partir de medidas preventivas no ambiente hospitalar. Entretanto, devido à grande demanda e exiguidade de tempo dos profissionais, esses métodos de prevenção, em diversas vezes, não apresentam resultados promissores.
BAW LEARNING ACTIVITY MANAGEMENT SYSTEM (LAMS) SEBAGAI MEDIA PEMBELAJARAN OPEN SOURCE ONLINE
Authors: Wijaksono Bahtera Alam , Handayani Tuti , Herlinda Herlinda
Published: May 2023

Teknologi komputer saat ini telah banyak dimanfaatkan di berbagai sektor kehidupan termasuk sektor pendidikan. Bahkan, demi mengikuti perkembangan jaman, Pemerintah telah menerapkan ujian akhir sekolah berbasis komputer. Namun, karena jumlah sekolah yang diujicobakan program pemerintah ini baru sedikit, masih banyak guru dan siswa yang merasakan kuatir karena belum terbiasa menghadapinya. Karenanya, Tim memandang Learning Activity Management System (LAMS) ini dapat dimanfaatkan oleh guru dan siswa sebagai salah satu media pembelajaran, dimana aplikasi ini membuat guru dan siswa lebih percaya diri karena sudah terbiasa dengan ujian berbasis komputer online tersebut. Dengan aplikasi LAMS sebagai pelatihan diharapkan guru dapat memberikan soal ujian kepada siswa secara online sebagai bahan latihan, yang hasilnya dapat dilihat hasilnya secara langsung oleh siswa dan guru. Selain itu, Tim berharap hal ini secara bertahap aplikasi LAMS dapat menggantikan ujian yang sifatnya menggunakan media kertas yang selama ini berjalan sehingga bisa mengurangi pemakaian dan biaya untuk fotocopy soal ujian. Pada kegiatan pelatihan ini menggunakan beberapa metode yang digunakan seperti metode presentasi, ceramah, diskusi dengan metode tersebut tim akan melakukan kombinasi sesuai dengan kebutuhan, untuk mendapatkan hasil evaluasi menggunakan instrumen penelitian berupa angket terhadap tanggapan guru terkait dengan pelatihan LAMS, dimana hasil tanggapan peserta untuk keseluruhan aspek mendapatkan presentase 60% maka dapat disimpulkan pelatihan dengan menggunakan aplikasi LAMS dalam dapat kategori baik, dapat artinya LAMS efektif dalam pembuatan media pembelajaran.
Identifying Factors Affecting the Relationship between Department and Graduation Level of Informatics Engineering Students using Apriori Algorithm: A Case Study at Pamulang University
Authors: T Thoyyibah
Published: May 2023

To cultivate the next generation of leaders, it is essential for teenagers to receive a high level of education. Typically, this education is acquired through attending lectures that produce a high GPA, which is considered a valuable achievement for students. The level of graduation achieved within the appropriate timeframe can also impact campus accreditation, especially for engineering students, particularly those pursuing informatics engineering. To improve graduation rates, it is necessary to use data mining to identify patterns and trends among graduating students. The a priori algorithm was used in this study to analyze school majors, the length of study, and student graduation rates. Through this algorithm, it was possible to identify one or more rules that can be used as benchmarks for predicting graduation rates. Based on the results and discussions of 30 students, the most effective rule for predicting graduation is a combination of the student's previous school major, a study period of 4 years or less, a GPA of 2.51-3.00, and passing all courses on time. Using the a priori algorithm, the rule was found to have a confidence value of 16 and a support value of 71.4%. This indicates that the rule is a reliable predictor of student graduation rates.
Editor's Choice: Measuring Candidate Quality using Local Newspaper Endorsements
Authors: DeLuca Kevin
Published: May 2023

I construct a new measure of candidate quality using political endorsements made by local newspapers. Similar to expert opinions, newspaper editorial board endorsements are highly-informed judgements that reflect quality differences between candidates, once accounting for the partisan preferences of the newspapers. Using a new data set of over 22,000 local newspaper endorsements, I simultaneously estimate the quality differences between candidates in thousands of elections between 1950-2022 along with a dynamic measure of the partisan slant of hundreds of local newspapers across the United States. After validating the endorsement-based measures of quality and slant, I use the quality differential measure to assess the effect that candidate quality has on election results and governing performance. I conclude by discussing how the newspaper endorsement-based measures have a strong potential to help advance our understanding of the impact of candidate quality and media bias on political representation.
Geometric Series with Binomial Coefficients: A New Approach
Authors: Annamalai Chinnaraji
Published: May 2023

This paper presents a new approach for the computation to geometric series with binomial coefficients. The geometric series with binomial coefficients is derived from the multiple summations of a geometric series. In this article, several theorems and corollaries are established on the innovative geometric series and its binomial coefficients.
Evaluation of cell disruption technologies on magnetosome chain length and aggregation behaviour from Magnetospirillum gryphiswaldense MSR-1
Authors: Masó-Martínez Marta , Fryer Benjamin , Aubert Dimitri , Peacock Benjamin , Lees Rebecca , Rance Graham A. , Fay Michael W. , Topham Paul D. , Fernández-Castané Alfred
Published: May 2023

Magnetosomes are biologically-derived magnetic nanoparticles (MNPs) naturally produced by magnetotactic bacteria (MTB). Due to their distinctive characteristics, such as narrow size distribution and high biocompatibility, magnetosomes represent an attractive alternative to existing commercially-available chemically-synthesized MNPs. However, to extract magnetosomes from the bacteria, a cell disruption step is required. In this study, a systematic comparison between three disruption techniques (enzymatic treatment, probe sonication and high-pressure homogenization) was carried out to study their effect on the chain length, integrity and aggregation state of magnetosomes isolated from Magnetospirillum gryphiswaldense MSR-1 cells. Experimental results revealed that all three methodologies show high cell disruption yields (>89%). Transmission electron microscopy (TEM), dynamic light scattering (DLS) and, for the first time, nano-flow cytometry (nFCM) were employed to characterize magnetosome preparations after purification. TEM and DLS showed that high-pressure homogenization resulted in optimal conservation of chain integrity, whereas enzymatic treatment caused higher chain cleavage. The data obtained suggest that nFCM is best suited to characterize single membrane-wrapped magnetosomes, which can be particularly useful for applications that require the use of individual magnetosomes. Magnetosomes were also successfully labelled (>90%) with the fluorescent CellMask™ Deep Red membrane stain and analysed by nFCM, demonstrating the promising capacity of this technique as a rapid analytical tool for magnetosome quality assurance. The results of this work contribute to the future development of a robust magnetosome production platform.
Low-intensity pulsed ultrasound reduces lymphedema by regulating macrophage polarization and enhancing microcirculation
Authors: Liu Zihao , Li Jia , Bian Yu , Zhang Xiaojie , Cai Xiaojun , Zheng Yuanyi
Published: May 2023

Background: Conventional therapies reduce lymphedema but do not cure it because they cannot modulate the pathophysiology of secondary lymphedema. Lymphedema is characterized by inflammation. We hypothesized that low-intensity pulsed ultrasound (LIPUS) treatment could reduce lymphedema by enhancing anti-inflammatory macrophage polarization and microcirculation.

Methods: The rat tail secondary lymphedema model was established through the surgical ligation of lymphatic vessels. The rats were randomly divided into the normal, lymphedema, and LIPUS treatment groups. The LIPUS treatment (3 min daily) was applied 3 days after establishing the model. The total treatment period was 28 days. Swelling, fibro adipose deposition, and inflammation of the rat tail were evaluated by HE staining and Masson’s staining. The photoacoustic imaging system and laser Doppler flowmetry were used to monitor microcirculation changes in rat tails after LIPUS treatment. The cell inflammation model was activated with lipopolysaccharides. Flow cytometry and fluorescence staining were used to observe the dynamic process of macrophage polarization.

Results: After 28 days of treatment, compared with the lymphedema group, the tail circumference and subcutaneous tissue thickness of rats in the LIPUS group were decreased by 30%, the proportion of collagen fibers and the lymphatic vessel cross-sectional area was decreased, and tail blood flow was increased significantly. Cellular experiments revealed a decrease in CD86+ macrophages (M1) after LIPUS treatment.

Conclusion: The transition of M1 macrophage and the promotion of microcirculation could be responsible for the beneficial effect of LIPUS on lymphedema.
Morpholinyl silicon phthalocyanine nanoparticles with lysosome cell death and two-photon imaging functions for in vitro photodynamic therapy of cancer cells
Authors: Yu Hongjie , Chen Jianling , Chen Xiuqin , Zhang Tiantian , Li Yuyang , Chen Kuizhi , Peng Yiru , Chen Linying
Published: May 2023

The lysosome is an important target for realizing antitumor therapy. Lysosomal cell death exerts significant therapeutic effects on apoptosis and drug-resistance. The development of lysosome-targeting nanoparticles to obtain efficient cancer treatment is challenging. In this article, nanoparticles composed of DSPE@M-SiPc and possessing bright two-photon fluorescence, lysosome targeting ability, and photodynamic therapy multifunctionalities are prepared by encapsulating morpholinyl-substituted silicon phthalocyanine (M-SiPc) with 1,2-distearoyl-sn-glycero-3-phosphoethanolamine-N-[methoxy(poly(ethylene glycol))-2000] (DSPE). Two photon fluorescence bioimaging showed that M-SiPc and DSPE@M-SiPc mainly locate in lysosomes after cellular internalization. Upon irradiation, DSPE@M-SiPc effectively generates reactive oxygen species and damages the function of lysosome, subsequently leading to lysosomal cell death. DSPE@M-SiPc is a promising photosensitizer for cancer treatment.
Advances in epidemiological status and pathogenesis of dental fluorosis
Authors: Zhang Kaiqiang , Lu Zhenfu , Guo Xiaoying
Published: May 2023

Fluoride is commonly consider as a “double-edged sword” because low consumption of fluoride can effectively prevent dental caries, but excessive consumption of fluoride can cause fluorosis. Dental fluorosis (DF) is a characteristic feature of fluorosis in the oral cavity that is manifested as tooth color changes and evident enamel defect. Presently, the pathogenesis of DF remains unclear. Herein, we have summarized the research progress in the pathogenesis and mechanism of DF in the past 5 years.
Joint conditional generative adversarial networks for eyelash artifact removal in ultra-wide-field fundus images
Authors: Zhang Jiong , Sha Dengfeng , Ma Yuhui , Zhang Dan , Tan Tao , Xu Xiayu , Yi Quanyong , Zhao Yitian
Published: May 2023

Background: Ultra-Wide-Field (UWF) fundus imaging is an essential diagnostic tool for identifying ophthalmologic diseases, as it captures detailed retinal structures within a wider field of view (FOV). However, the presence of eyelashes along the edge of the eyelids can cast shadows and obscure the view of fundus imaging, which hinders reliable interpretation and subsequent screening of fundus diseases. Despite its limitations, there are currently no effective methods or datasets available for removing eyelash artifacts from UWF fundus images. This research aims to develop an effective approach for eyelash artifact removal and thus improve the visual quality of UWF fundus images for accurate analysis and diagnosis.

Methods: To address this issue, we first constructed two UWF fundus datasets: the paired synthetic eyelashes (PSE) dataset and the unpaired real eyelashes (uPRE) dataset. Then we proposed a deep learning architecture called Joint Conditional Generative Adversarial Networks (JcGAN) to remove eyelash artifacts from UWF fundus images. JcGAN employs a shared generator with two discriminators for joint learning of both real and synthetic eyelash artifacts. Furthermore, we designed a background refinement module that refines background information and is trained with the generator in an end-to-end manner.

Results: Experimental results on both PSE and uPRE datasets demonstrate the superiority of the proposed JcGAN over several state-of-the-art deep learning approaches. Compared with the best existing method, JcGAN improves PSNR and SSIM by 4.82% and 0.23%, respectively. In addition, we also verified that eyelash artifact removal via JcGAN could significantly improve vessel segmentation performance in UWF fundus images. Assessment via vessel segmentation illustrates that the sensitivity, Dice coefficient and area under curve (AUC) of ResU-Net have respectively increased by 3.64%, 1.54%, and 1.43% after eyelash artifact removal using JcGAN.

Conclusion: The proposed JcGAN effectively removes eyelash artifacts in UWF images, resulting in improved visibility of retinal vessels. Our method can facilitate better processing and analysis of retinal vessels and has the potential to improve diagnostic outcomes.
Micro-segmental analysis of the entry pathway and distribution of zolpidem in hair from different scalp regions after a single dose
Authors: Ji Jiao-Jiao , Xu Duoqi , Yan Hui , Xiang Ping , Shen Min
Published: May 2023

Introduction: Hair testing is well established for the assessment of past drug exposure; however, more research is needed to understand drug incorporation mechanisms and drug entry pathways into hair.

Method: In this study, a micro-segmental LC–MS/MS method was used to analyze a 0.4 mm segment of hair after a single oral administration of zolpidem. Five single hairs were plucked at 1 day, 3 days, 7 days, and 28 days after administration from the vertex posterior of three subjects, and 5 single hairs were also plucked from the parietal, left temporal, and right temporal regions of the head at 28 days.

Results and discussion: Proximal S1 (0–0.4 mm) in hair plucked at 1 day had the highest level of zolpidem at 1.5–2.4 pg/mm; much lower concentrations (< 1 pg/mm) were detected at proximal S2–S8 (0.4–3.2 mm). The drug concentration decreased gradually in S1 for 7 days after drug intake and disappeared by 28 days, suggesting that the drug from the bloodstream initially combined with the hair follicle and then gradually moved to the hair tip as the hair grew. The zolpidem concentration–hair segment profiles exhibited a large peak (root side) and a small peak (tip side) for the four sampling times in all three subjects, indicating that drug incorporation in the hair bulb occurred mainly from the blood but probably also entered the hair through sweat and sebum. Zolpidem was also detected in all hairs from the vertex posterior in all three subjects but was not detected in 1 hair from the parietal region and 2 hairs from the left temporal region. The consistency in drug detection, drug concentration level, and peak position was better in hair from the vertex posterior than from the other three regions, indicating that the vertex posterior is a suitable sampling region for estimating drug intake.
Synthesis, in vitro biological assessment, and molecular docking study of benzimidazole-based thiadiazole derivatives as dual inhibitors of α-amylase and α-glucosidase
Authors: Khan Shoaib , Iqbal Shahid , Taha Muhammad , Hussain Rafaqat , Rahim Fazal , Shah Mazloom , Awwad Nasser S. , Ibrahium Hala A. , Alahmdi Mohammed Issa , Dera Ayed A. , Ullah Hayat , Bahadur Ali , Aljazzar Samar O. , Elkaeed Eslam B. , Rauf Muhammad
Published: May 2023

The clinical significance of benzimidazole-containing drugs has increased in the current study, making them more effective scaffolds. These moieties have attracted strong research interest due to their diverse biological features. To examine their various biological significances, several research synthetic methodologies have recently been established for the synthesis of benzimidazole analogs. The present study aimed to efficiently and quickly synthesize a new series of benzimidazole analogs. Numerous spectroscopic techniques, including 1H-NMR, 13C-NMR, and HREI-MS, were used to confirm the synthesized compounds. To explore the inhibitory activity of the analogs against α-amylase and α-glucosidase, all derivatives (1–17) were assessed for their biological potential. Compared to the reference drug acarbose (IC50 = 8.24 ± 0.08 µM), almost all the derivatives showed promising activity. Among the tested series, analog 2 (IC50 = 1.10 ± 0.10 & 2.10 ± 0.10 µM, respectively) displayed better inhibitory activity. Following a thorough examination of the various substitution effects on the inhibitory capacity of α-amylase and α-glucosidase, the structure-activity relationship (SAR) was determined. We looked at the potential mechanism of how active substances interact with the catalytic cavity of the targeted enzymes in response to the experimental results of the anti-glucosidase and anti-amylase. Molecular docking provided us with information on the interactions that the active substances had with the various amino acid residues of the targeted enzymes for this purpose.
Sterically wrapping of multi-resonant fluorophores: an effective strategy to suppress concentration quenching and spectral broadening
Authors: Xiaofeng Luo , Dongdong Zhang , Lian Duan , Yuewei Zhang
Published: May 2023

Multiple resonance (MR) emitters are promising for the next-generation wide color gamut organic light-emitting diodes (OLEDs) with narrowband emissions; however, they still face intractable challenges such as concentration-induced emission quenching, exciton annihilation, and spectral broadening. In this concept, we focus on an advanced molecular design strategy called “sterically wrapping of MR fluorophores” to address the above issues. By isolating the MR emission core using bulky substituents, intermolecular interactions can be significantly suppressed to eliminate the formation of unfavorable species. Consequently, using the newly designed emitters, optimized MR-OLEDs can achieve high external quantum efficiencies of >40% while maintaining extremely small full width at half maxima (FWHMs) of <25 nm over a wide range of concentrations (1–20 wt%). This strategy may shed light on the design of efficient MR emitters, which provides more room for tuning the dopant concentrations under the premise of high-efficiencies and small FWHMs, accelerating the practical application of MR-OLEDs.
Comparison of prognosis between coronary computed tomography angiography versus invasive coronary angiography for stable coronary artery disease: a systematic review and meta-analysis
Authors: Xie Qingya , Zhou Lingling , Li Ying , Zhang Ruizhe , Wei Han , Ma Gaoxiang , Tang Yuping , Xiao Pingxi
Published: May 2023

Background

The impact of using invasive coronary angiography (ICA) or coronary computed tomography angiography (CCTA) as an initial examination on the incidence of major adverse cardiovascular events (MACEs) in patients with stable coronary artery disease and the occurrence of major operation-related complications is uncertain.

Objective

This study aimed to explore the effects of ICA vs. CCTA on MACEs, all-cause death, and major operation-related complications.

Methods

A systematic search of electronic databases (PubMed and Embase) was conducted for randomized controlled trials and observational studies comparing MACEs between ICA and CCTA from January 2012 to May 2022. The primary outcome measure was analyzed using a random-effects model as a pooled odds ratio (OR). The main observations were MACEs, all-cause death, and major operation-related complications.

Results

A total of six studies, comprising 26,548 patients, met the inclusion criteria (ICA n = 8,472; CCTA n = 18,076). There were statistically significant differences between ICA and CCTA for MACE [OR 1.37; 95% confidence interval (CI), 1.06–1.77; p = 0.02], all-cause death (OR 1.56; 95% CI, 1.38–1.78; p < 0.00001), and major operation-related complications (OR 2.10; 95% CI, 1.23–3.61; p = 0.007) among patients with stable coronary artery disease. Subgroup analysis demonstrated statistically significant results in the impact of ICA or CCTA on MACEs according to the length of follow-up. Compared to CCTA, ICA was related to a higher incidence of MACEs in the subgroup with a short follow-up (≤3 years) (OR 1.74; 95% CI, 1.54–1.96; p < 0.00001).

Conclusions

Among patients with stable coronary artery disease, an initial examination with ICA was significantly associated with the risk of MACEs, all-cause death, and major procedure-related complications compared to CCTA in this meta-analysis.