bluuebunny/crossref_metadata_2025 huggingface dataset:
Perencanaan Rute dan Kecepatan AGV pada Sistem Pergudangan Menggunakan Algoritma Ant Colony Optimization
Authors:   Universitas Atma Jaya Yogyakarta, . Pamosaji
Published: November 2022

This paper discusses a modifiedalgorithm of route planning and speed of a group of Automated Guided Vehicle (AGV) in a warehousing system. Given an AGV group that carries material out of the warehouse. This algorithm has to decide which routes and speed are applied so that all AGVs can reach the target point without any collision to each other. In addition, the slowest travelling time from AGV must be minimized. Each AGV has a maximum speed limit. The warehouse used as a case study is a simple warehouse that is modeled as a 15-point matrix. The method applied is a modified Ant Colony Optimization (ACO) algorithm. In the ACO algorithm, two solutions can be combined: route determination from point to point and speed that must be applied by the AGV on the route between any two points. The ACO algorithm is used to determine the speed of point-to-point travel. By this method, collision among vehicles can be avoided. The simulation results revealthe performance of the proposed algorithm for a simple warehouse is quite satisfying. This conclusion is indicated by the convergence of the minimum travel time generated from faster vehicles and the routes resulting from collision-free requirements.
Analisis Perbedaan Beban Kerja Tiap Shift pada Operator SPBU COCO dan DODO yang Beroperasi 24 Jam di Daerah Istimewa Yogyakarta
Authors:   Universitas Atma Jaya Yogyakarta, Dewa Ratna Tungga , Sjalamuddin Surya Andika
Published: November 2022

This The study aims to determine the difference in workload of operator officers in terms of morning, afternoon and night work shifts between COCO’s (Corcoated Owned Corporated Operated). and DODO’s (Dealer Owned Operated Dealers) Gas Stations that operate 24 hours in Yogyakarta Special Region. There are differences between the morning, afternoon and night shifts complained of by the operator, namely that the afternoon shift tends to be more crowded than the other two shifts so that operators feel more tired while working in the afternoon shift. There are differences between the two types of gas stations, namely the ownership system, physical facilities, and management management systems. This study was conducted to analyze the workload both physical and mental in each shift and then evaluate the current shift work system. The measurement of physical workload was carried out objectively by measuring the operator's heart rate to be converted into oxygen consumption and Heart Rate Range (HRR), the results of these measurements were then analyzed statistically using the ANOVA test and the post-hoc Least Significance Different (LSD) test. ) Mental workloads were measured using subjective methods with the NASA-TLX questionnaire. The conclusion obtained is that there are differences in the physical workload of operators in each shift at COCO and DODO gas stations. The operator's oxygen consumption value in each shift is classified as mild to moderate, while the HRR value is still below the recommended limits or can be said to be safe. The mental workload of operators at COCO and DODO gas stations tends to be high to very high categories and indicators of physical needs are indicators.
Pengaruh Penggunaan Media E-Learning dan Transfer Pengetahuan dalam Kuliah Daring/Online Selama Pandemi Covid-19 Terhadap Kinerja Dosen Tetap Unika Musi Charitas
Authors:   Universitas Katolik Musi Charitas, Setiawan Heri , Rinamurti Micheline , Augustine Michelle
Published: November 2022

The performance of a permanent lecturer in a university has a very broad perspective of meaning, not only stating as a result of work, but also how the work process takes place. The objectives of this study were (1) to analyze the effect of using e-learning and social media media during bold / online lectures on the performance of permanent lecturers at Musi Charitas Catholic University during the Covid-19 pandemic; (2) analyzing the effect of knowledge transfer on the performance of permanent lecturers at Musi Charitas Catholic Universityduring online / online lectures during the Covid-19 pandemic; and (3) analyzing the influence of e-learning & social media media and transfer of knowledge on performance of permanent lecturers at Musi Charitas Catholic Universityduring online / online lectures during the Covid-19 pandemic. The number of samples in this study were 62 permanent lecturers. The data technique in this research is using a questionnaire (questionnaire). The type of data used in this research is primary data. Analysis of the data in this study using multiple linear regression analysis, hypothesis testing, and classical assumptions. The results of hypothesis testing show (1) a positive and significant effect of the use of e-learning & social media media on the performance of permanent lecturers at Musi Charitas Catholic Universityduring bold / online lectures during the Covid-19 pandemic; (2) there is a positive and significant effect of knowledge transfer on the performance of permanent lecturers at Musi Charitas Catholic University; (3) the positive and significant influence of the use of e-learning & social media media and knowledge transfer on the performance of permanent lecturers at Musi Charitas Catholic University.
Microeconomic analysis of the main ways of decomposition of the cost index
Authors: Ishbayev G. G. , Kuritsyn A. V. , Lazareva N. A.
Published: November 2022

The article considers a microeconomic analysis of the main options for decomposing the value index into price and quantity change factors, as a result of which it becomes possible to interpret these options in terms of changing the expectations of either the consumer or the producer. The purpose of the study is to show that the Laspeyres, Paasche and Fisher indices have not only an estimated, but also an important content function, reflecting changes in the market expectations of economic agents. To achieve the goal, a comparative analysis of the basic formulas of the concepts of adaptive and rational expectations was carried out, as well as a meaningful analysis of the cost aggregates that are components of the Laspeyres, Paasche and Fisher indices, and a schematic diagram of the formation of adaptive and rational expectations was developed. As a methodological basis for solving the problem, the expectation theory, the analogy method, the index method of factor reversibility, and the minimum basis method were used. It is shown that Laspeyres indices are the essence of changes in adaptive expectations, Paasche indices are changes in rational expectations of producers and consumers, and Fisher indices are a joint change in adaptive and rational expectations of economic agents. It is advisable to interpret one of the main methods of decomposition of the cost index into factors as a “buying” method that meets the expectations of the consumer, another — as a “selling” method that meets the expectations of the manufacturer, a decomposition method, the third — as a “compromise” between market expectations of economic agents.
The Marginalist Revolution: An event, a process or a myth?
Authors: Makasheva N. A.
Published: November 2022

The Marginalist Revolution, which is traditionally associated with the date 1871 and the names of Leon Walras, William Stanley Jevons, Karl Menger, is interpreted as a complex and lengthy process, that ended around the mid-twentieth century. Its origins can be traced to three relatively independent trends that existed long before the 1870s: in the field of value theory — a tendency to view utility as a basis of value, in the field of methodology — a trend towards the adoption of deductive method, in the field of analytical tools — a trend towards the application of mathematics in economics. The achievements of these authors, which in a sense can be regarded as a “point of intersection” (“overlap”) of the above-mentioned tendencies, were not properly appreciated by contemporaries, were not considered as revolutionary and for quite a long time remained on the periphery of economic research, became a bridge to the future economic science.
“Three altyns worth of petroleum…”: Oriental goods in Russia at the second half of the 17th and early 18th century
Authors: Mustafin A. R.
Published: November 2022

This article uses the records of archival monastic account books to answer a number of questions about trade relations between Russia and the eastern countries at the second half of the 17th and early 18th century. In particular, for some oriental goods, we can talk about the predominance of the import from Europe. Although contemporaries believed that Russia had an advantageous position for the Eurasian transit of oriental goods. The article also presents a newly constructed time series of prices for pepper. The data allow us to affirm that a “price revolution” was not taking place on the Russian spice market. In addition, the study shows that monasteries were one of the key consumers of oriental goods. The monastic books make it possible to describe the use of petroleum and other oriental goods in Russia.
Pengaruh Kelebihan Muatan Kendaraan (Overload) Terhadap Konstruksi Perkerasan Jalan Raya Pada Ruas Jalan Mahir-Mahar Kota Palangka Raya
Authors: Novela Ipana , Robby Robby , Salonten Salonten
Published: November 2022

Basically the road will experience a decrease in structural function in proportion to the increasing age of the pavement. Road damage is currently a controversial issue, where some say that the pavement damage is caused because the highway is designed with a substandard quality level, and on the other hand it is stated that the pavement damage is caused by overload vehicles crossing the road that way.This research was conducted for 1 week (23 May 2022 – 29 May 2022) this research was conducted at 07.00 – 22.00 WIB (15 hours) on Mahir-Mahar road in the city of Palangka Raya. The results of the analysis show that 9,67 % of the area of Mahir-Mahar road in the city of Palangka Raya is damaged, with 5.10 % of road damage caused by overloaded vehicles. From the analysis of the remaining life of the road plan (remaining life) on Mahir-Mahar road the direction of the RTA Milono road to net Tjilik Riwut km 10 road for the next 10 years it has a remaining life of 48.42% and Mahir-Mahar road from Tjilik Riwut km 10 road to net RTA Milono road for the next 10 years, has a remaining life of 52.22%.Kata kunci : overload, road damage, remaining road design life.
Analytics of big geosocial media and crowdsourced data
Authors: Li Songnian , Wachowicz Monica , Fang Hongchao
Published: November 2022

[Introduction]: "Numerous crowdsourcing and social media platforms such as CrowdSpring, Idea Bounty, DesignCrowd, Facebook, Twitter, Flickr, Weibo, WeChat, and Instagram are creating and sharing vast amounts of user-generated content that can reveal timely and useful information for detecting traffic patterns, mitigating security risks and other types of time-critical events, discovering social structures characteristics, predicting human movement, etc. Crowdsourcing, also known as volunteered geographic information (VGI), has added a new dimension to traditional geospatial data acquisition by providing fine-grained proxy data for human activity research in urban studies (Chen et al., 2016; Niu & Silva, 2020). However, analyzing big geosocial media and crowdsourced data brings significant methodological and theoretical challenges due to the uncertain user representability when referring to human behavior in general, the inherent noisy data that requires high-performance cost of preprocessing, and the heterogeneity in quality and quantity of sources. In particular, geosocial media data and their derived metrics can provide valuable insights and policy strategies, but they require a deep understanding of what the metrics actually measure (Zook, 2017). All of these underpin complex assessments, not mentioning the ethnic and privacy issues. Therefore, new sets of methods and tools are required to analyze the big data from crowdsourcing and social media platforms."
Revisión bibliográfica del desarrollo de competencias investigativas a través de la modalidad virtual para el aprendizaje
Authors: Gómez Acosta Erandy Itzel , Lagunes Domínguez Agustín , Torres Gastelú Carlos Arturo
Published: November 2022

Este trabajo muestra una revisión bibliográfica sobre los aportes de la modalidad virtual para el aprendizaje en el desarrollo de competencias investigativas. Se revisan dos ejes de análisis, los cuales son: competencia investigadora y modalidad virtual para el aprendizaje, para lo cual se realizó una revisión bibliográfica con artículos científicos de no más de cinco años de antigüedad. Los resultados muestran que el enfoque cuantitativo fue predominante para los dos núcleos temáticos, se identifica que los estudiantes pueden desarrollar las competencias para la investigación por medio de un curso virtual, además se reconoce que la modalidad virtual proporciona al profesor rapidez para llevar a cabo la tarea de retroalimentación y orientación; sin embargo, existe la necesidad de fortalecer la interacción entre estudiantes y profesores.
APLIKASI PENGOLAHAN NILAI RAPOR KELAS DI SEKOLAH DASAR MASEHI LAIMBONGA BERBASIS WEB
Authors: Melqan Radjah Rizaldy Adiwanto
Published: November 2022

SD Masehi Laimbonga in processing the final score of the report card takes a long time in the value processing process so that there is a delay in reporting because many assessment criteria are determined. The purpose of this research is to assist teachers in accelerating the value processing process so as to produce digital student report cards. The research method used is the waterfall model starting from the analysis, design, implementation and testing stages. This research produces an application that helps teachers in accelerating the processing of grade report cards. The application generates report cards which can be directly downloaded as PDF files. The test produces output that is in accordance with the input from the teacher and proves the difference in time for processing report cards for 1 student manually takes 8 minutes 43 seconds while the application is 2 minutes 14 seconds.
PENERAPAN DATA MINING MENGGUNAKAN METODE CLUSTERING EVALUASI DATA PENJUALAN PT ASPACINDO KEDATON MOTOR
Authors: Hartomi Zupri Henra , Sabna Eka , Yulanda Yulanda , Amartha Mohd , Sanjaya Rifki
Published: November 2022

Perkembangan teknologi komunikasi dari waktu kewaktu dirasakan semakin pesat, salah satunya adalah dalam usaha penjualan. PT. Aspacindo Kedaton Motor Pekanbaru merupakan usaha yang bergerak dalam bidang Penjualan sepeda motor. Dalam hal ini penginputan penjualan hanya dijadikan sebagai laporan tanpa ada pengembangan data yang lebih lanjut untuk dijadikan sebuah pengetahuan. Oleh karena itu dibutuhkan Penegeloaan Data Mining dengan motode klustering untuk mengolah data transaksi penjualan, sehingga diproleht sebuah keputusan yang dapat digunakan untuk menganalisis data penjualan. Tujuan utama dari metode clustering adalah pengelompokan sejumlah data/obyek ke dalam cluster, dimana cluster tersebut akan berisi data yang sama dengan groupnya masing-masing. Manfaatnya mempermudah analisis data yang besar dan membantu memberikan informasi data penjualan. Hasil dari penelitian ini diperoleh perbandingan daerah mana menghasilkan banyak penjualan yaitu kluster 1 pada daerah Tenayan Raya, kluster 2 pada daerah Limapuluh. Dan kluster 3 pada daerah Payung sekaki.  Dari pola yang di peroleh di harapkan dapat memberi pengetahuan untuk PT. Aspacindo Kedaton Motor Pekanbaru sebagai pendukung untuk mengambil kebijakan.
CHATBOT SEBAGAI GURU VIRTUAL UNTUK MATA KULIAH DATA MINING
Authors: Sabna Eka
Published: November 2022

Abstract

A chatbot is an application (service) that interacts with users through text conversations. Chatbots work to replace the role of humans in serving conversations through messaging applications. The chatbot that is built will be virtual assisting that will help students learn at home. Chatbots can only answer questions based on patterns that have been stored in the chatbot's knowledge base. Chatbots are automated conversational agents that interact with users using natural human language that can help anytime and anywhere. This chatbot is applied as a Virtual Teacher who can provide information and learning materials to students in Data Mining courses.

Keywords: C4.5, NBC, GPA, performance, student

 

Abstrak

Chatbot merupakan aplikasi (layanan) yang berinteraksi dengan pengguna melalui percakapan teks. Chatbot bekerja untuk menggantikan peranan manusia dalam melayani pembicaraan melalui aplikasi pesan. chatbot yang dibangun akan menjadi virtual assisting yang akan membantu Mahasiswa dalam belajar dirumah. Chatbot hanya dapat menjawab pertanyaan berdasarkan pola yang telah disimpan di dalam knowledge base chatbot. Chatbot adalah agen percakapan otomatis yang berinteraksi dengan pengguna menggunakan bahasa alami manusia yang dapat membantu kapan saja dan dimana saja. Chatbot ini di aplikasikan sebagai Guru Virtual yang dapat memberikan informasi dan materi pembelajaran terhadap mahasiswa dalam matakuliah Data Mining.

Kata Kunci : Chatbot, Data Mining, Virtual Teacher, Student, Learning
ANALISIS DAN PENGUKURAN KETERCAPAIAN PEMBELAJARAN ROBOT CALISTUNG PADA ANAK USIA DINI (STUDI KASUS DI TK BUSTANUL ULUM PEKANBARU)
Authors: Rahmalisa Uci , Akhmad Zulkifli
Published: November 2022

Penelitian ini merupakan turunan dari Riset Keilmuan LPDP yang lulus pada tahun 2022 yang penulis ikuti dan produk yang dihasilkan adalah Robot Pembelajaran Ringkas, yang disebut sebagai BELANGKAS. Permasalahan yang terdapat pada penelitian ini akan dilakukan perhitungan kuesioner untuk menghitung kepuasan pelanggan terhadap Robot Belangkas (Belajar Ringkas), Belum mengetahui efektifitas ataupun ketercapaian pembelajaran Calistung (Membaca, Menulis dan Menghitung) pada anak usia dini terhadap Robot Belangkas. Tujuan dari penelitian ini adalah menganalisa dan mengukur ketercapaian dari implementasi Robot Belangkas dalam proses pembelajaran calistung pada anak usia dini, sehingga dapat berfungsi sebagai media dalam memudahkan siswa  dalam memahami pembelajaran menulis, membaca dan menghitung. Teknik pengambilan sampel menggunakan teknik acak dengan menyebarkan koesioner kepada Guru dan Siswa-siswi di TK Bustanul Ulum Pekanbaru dengan responden sebanyak 21 orang, kemudian dilakukan perhitungan menggunakan sebuah aplikasi yaitu SPSS (Statistika Product and Service Solution) 21. Metode Korelasional adalah suatu penelitian untuk mengetahui hubungan dan tingkat hubungan antara dua variabel atau lebih tanpa ada upaya untuk mempengaruhi variabel tersebut. Penelitian ini menggunakan pendekatan korelasional yang menghubungkan antara variabel Media Pembelajaran dan variabel Ketercapaian Pembelajaran pada siswa dan guru di TK Bustanul Ulum Pekanbaru. Maka hasil dan kesimpulan dari penelitian ini terdapat hubungan yang signifikan antara media pembelajaran dengan ketercapian pembelajaran sebesar 85%. Artinya semakin banyak Media Pembelajaran maka semakin Tinggi Ketercapaian Pembelajaran pada TK Bustanul Ulum Pekanbaru.
PERANCANGAN DAN IMPLEMENTASI SISTEM INFORMASI AKADEMIK DI SEKOLAH DASAR ISLAM TERPADU BUSTANUL ULUM PEKANBARU BERBASIS WEB
Authors: Rahmalisa Uci
Published: November 2022

Sekolah sebagai suatu instansi di bidang pendidikan banyak melakukan pengolahan data baik data siswa, guru, jadwal pelajaran, mata pelajaran, kelas maupun data nilai pelajaran. Datadata tersebut dalam jumlah yang besar sehingga penyimpanan dan pengadministrasian harus dilakukan dengan baik. Dalam pengolahan data akademik kebanyakan sekolah menggunakan sistem pengolahan secara manual yaitu data yang ada berupa setumpuk kertas atau rekam yang disimpan dalam rak. Sistem tersebut tentu saja mempunyai banyak kelemahan yang implikasinya adalah lemahnya administrasi, pemborosan tenaga, penyajian yang buruk, pelayanan yang kurang optimal, dan kualitas data yang rendah. Permasalahan yang dibahas adalah bagaimana langkah-langkah pembuatan Sistem Informasi Akadimik yang tepat untuk SDIT Bustanul Ulum menggunakan PHP dan MySQL. Metode kegiatan dilakukan dengan mengumpulkan data baik dengan metode waterfal, observasi, wawancara, dan selanjutnya dilakukan perancangan program. Metode ini merupakan usaha untuk mendapatkan penyelesaian dari permasalahan Sistem Informasi Akademi. Sistem informasi akademik dibuat dengan menggunakan bahasa pemrograman PHP (Hypertext Preprocessor) serta menggunakan database MySQL. Sistem informasi yang dibuat memiliki 3 user, yaitu siswa, guru dan admin. Keberadaan komputer yang tersedia saat ini diharapkan dapat dimanfaatkan secara maksimal agar dapat mempermudah pengelolaan sistem akademik dan semua pemrosesan data seperti pencarian, tambah, edit, hapus, pembuatan laporan dapat dilakukan dengan komputer sehingga meminimalisir kesalahan data.
Aplikasi Buku Tamu Undangan dengan Menerapkan QR Code Berbasis Web di Wedding Reception Donys Pelaminan
Authors: Yulisman Yulisman , Juliani Helen , Muhaimin Abdi , Zulkifli Akhmad
Published: November 2022

Abstract

Recording invited guests in registering guests is one of the potential physical contacts that can increase the spread of the virus, especially Covid-19, whether it is at wedding receptions, aqiqah, or counseling events, where guests write attendance data in a limited guest book using a pen that each other and cause queues. Therefore, researchers conducted research by creating a web-based online guest book which is expected to help reduce physical contact between invited guests who are present when the queue is filling out the guest book and those who hold an event are also easy to mark the presence of invited invited guests. This online guestbook application is built on a web-based basis and applies qr code technology using the PHP Native programming language. This application is designed using UML, and the database is MySQL, as well as for the testing method used the blackbox testing method. The application was successful in testing and implementation, where the results were that the application could help the invited guests in filling out the guest book, no need to write names manually, only by bringing a smartphone/mobile phone to scan the qr code the invited guests were able to fill in the guest book. The application can minimize the occurrence of physical contact between invited guests which can reduce the spread of the Covid-19 virus.

Keywords: Guestbook Application, QR Code, PHP Native, Invitation, Web, Wedding Reception

 

Abstrak

Pencatatan tamu undangan dalam mendata tamu merupakan salah satu potensi kontak fisik yang bisa meningkatkan penyebaran virus terutama Covid-19, baik itu pada pelaksanaan resepsi pernikahan, aqiqah, maupun acara penyuluhan, dimana para tamu menulis data kehadiran di buku tamu yang terbatas dengan menggunakan pena yang saling bergantian dan menyebabkan antrian. Maka dari itu peneliti melakukan peneltian dengan membuat buku tamu online berbasis web yang diharapkan dapat membantu mengurangi kontak fisik antara tamu undangan yang hadir ketika antrian dalam mengisi buku tamu dan yang mengadakan suatu acara juga mudah dalam menandai kehadiran tamu undangan yang diundang. Aplikasi buku tamu online ini dibangun berbasis web dan menerapkan teknologi qr code menggunakan Bahasa pemrograman PHP Native. Aplikasi ini dirancang menggunakan UML, dan basis data nya adalah MySQL, serta untuk metode pengujian yang digunakan metode blackbox testing. Aplikasi sukses dalam pengujian dan penerapannya, dimana hasilnya aplikasi dapat membantu para tamu udangan dalam mengisi buku tamu tidak perlu menulis nama secara manual, hanya dengan membawa smartphone/handphone untuk scan qr code tamu undangan sudah bisa mengisi buku tamu. Aplikasi dapat meminimalisir terjadinya kontak fisik antara para tamu undangan yang dapat mengurangi penyebaran virus Covid-19.

Kata Kunci : Aplikasi Buku Tamu, QR Code, PHPNative, Undangan, Web, Wedding Reception
Achieving Sustainable Development Agenda of 2030: The Role of Accountants
Authors: Aggreh Meshack  , Marcus Garvey Orji  , Gilbert Ogechukwu Nworie  , Mercy Siddy Aggreh
Published: November 2022

The study examined the contribution of accountants in achieving the sustainable development agenda of 2030. A perspective study of accountants in Nigeria was carried out to specifically determine the role of accountants in ensuring sustainable management of water and sanitation, sustainability of cities and human settlements, and sustainable consumption and production patterns. Cross-sectional survey research design was deployed for the study. A sample size of eighty-nine (89) chattered accountants was obtained from a population of seven hundred and seventy-two (772) professionally affiliated Accountants in Nigeria. Primary data were sourced from the questionnaires administered on the 89 sampled chattered accountants in Nigeria. Kolmogorov-Smirnov Test was used in hypotheses testing at 5% level of significance. The findings of the study revealed that: accountants play a significant role in ensuring availability and sustainable management of water and sanitation (D = 0.197, p = .002); accountants have a significant function in making cities and human settlements inclusive, safe, resilient and sustainable (D = 0.151, p = .001); there is a significant responsibility of Accountants in ensuring sustainable consumption and production patterns (D = 0.178, p = .000). Based on the finding, it was recommended that Accountants should help in reducing waste generation through prevention, reduction and recycling and reuse of waste.
Growth Hormone and Metabolic Homeostasis
Authors: Nishad Rajkishor , Mukhi Dhanunjay , Menon Ram K. , Pasupulati Anil K.
Published: November 2022

Pituitary growth hormone (GH) is a peptide hormone predominantly secreted by somatotrophs in the anterior pituitary under the tight control of the hypothalamic–pituitary axis and GH secretagogues. GH elicits its effects directly on target organs and cells interacting with GH receptors and through stimulation of insulin-like growth factor 1 production. GH plays critical roles in regulating somatic growth and the metabolism of carbohydrates, lipids, and protein. GH increases insulin secretion and glucose uptake. Conversely, a GH deficient state is characterised by enhanced insulin sensitivity. Diabetogenic actions of GH are evident in conditions of GH excess, such as acromegaly or poorly controlled Type 1 diabetes mellitus. In patients with GH deficiency, administration of GH resulted in impaired glucose tolerance and insulin sensitivity. Owing to its multiple and complex effects, the regulation of GH secretion and its function in normal health and metabolic diseases is a major research interest in the field of molecular endocrinology. This review provides an overview of the effects of GH on glucose, lipid, and protein metabolism, insulin resistance, and metabolic homeostasis.
Reliable numerical treatment with Adams and BDF methods for plant virus propagation model by vector with impact of time lag and density
Authors: Anwar Nabeela , Naz Shafaq , Shoaib Muhammad
Published: November 2022

Plant disease incidence rate and impacts can be influenced by viral interactions amongst plant hosts. However, very few mathematical models aim to understand the viral dynamics within plants. In this study, we will analyze the dynamics of two models of virus transmission in plants to incorporate either a time lag or an exposed plant density into the system governed by ODEs. Plant virus propagation model by vector (PVPMV) divided the population into four classes: susceptible plants [S(t)], infectious plants [I(t)], susceptible vectors [X(t)], and infectious vectors [Y(t)]. The approximate solutions for classes S(t), I(t), X(t), and Y(t) are determined by the implementation of exhaustive scenarios with variation in the infection ratio of a susceptible plant by an infected vector, infection ratio of vectors by infected plants, plants' natural fatality rate, plants' increased fatality rate owing to illness, vectors' natural fatality rate, vector replenishment rate, and plants' proliferation rate, numerically by exploiting the knacks of the Adams method (ADM) and backward differentiation formula (BDF). Numerical results and graphical interpretations are portrayed for the analysis of the dynamical behavior of disease by means of variation in physical parameters utilized in the plant virus models.
A customizable cost-effective design for printed circuit board-based nanolayered gold screen-printed electrode: From fabrication to bioapplications
Authors: Ghorbanzadeh Sadegh , Naghib Seyed Morteza , Sadr Ali , Molaabasi Fatemeh , Zhang Wei
Published: November 2022

Screen-printed electrodes (SPEs) are promising candidates for fabricating biosensing platforms in the laboratory and industry due to the various advantages they involve. The primary method for fabricating SPEs is 2D printing. However, commercial SPEs have some limitations due to the specific ports and connections they require, inflexible design, high prices, and decreased efficiency after a short time. This article introduces high performance, feasible, and cost-effective gold SPEs based on the combination of printed circuit board substrate (PCBs) and sputtering methods for electrochemical biosensing platforms. First, we discuss a general gold SPE development procedure that helps researchers to develop specific designs. The final developed version of SPEs was characterized in the second step, showing positive performance in electrochemical parameters because of the optimization of design and fabrication steps. In the study’s final phase, SPEs were used to fabricate a simple platform for breast cancer cell detection as a proof of concept without using any linker or labeling step. The designed immunosensor is very simple and cost-effective, showing a linear calibration curve in the range of 10 − 2× 102 cells mL−1 (R2 = 0.985, S/N = 3). This research can be used as a reference for future studies in SPEs-based biosensors because of the flexibility of its design and the accessibility of the manufacturing equipment required.
Emerging applications of femtosecond laser fabrication in neurobiological research
Authors: Tian Mingzhen , Ma Zhuo-Chen , Han Qingqing , Suo Qian , Zhang Zhijun , Han Bing
Published: November 2022

As a typical micro/nano processing technique, femtosecond laser fabrication provides the opportunity to achieve delicate microstructures. The outstanding advantages, including nanoscale feature size and 3D architecting, can bridge the gap between the complexity of the central nervous system in virto and in vivo. Up to now, various types of microstructures made by femtosecond laser are widely used in the field of neurobiological research. In this mini review, we present the recent advancement of femtosecond laser fabrication and its emerging applications in neurobiology. Typical structures are sorted out from nano, submicron to micron scale, including nanoparticles, micro/nano-actuators, and 3D scaffolds. Then, several functional units applied in neurobiological fields are summarized, such as central nervous system drug carriers, micro/nano robots and cell/tissue scaffolds. Finally, the current challenges and future perspective of integrated neurobiology research platform are discussed.
Recent advances in NIR-II fluorescence based theranostic approaches for glioma
Authors: Li Jiaying , Ling Jue , Yao Chaoyi
Published: November 2022

Gliomas are among the most common malignant tumors in the central nervous system and lead to poor life expectancy. However, the effective treatment of gliomas remains a considerable challenge. The recent development of near infrared (NIR) II (1000–1700 nm) theranostic agents has led to powerful strategies in diagnosis, targeted delivery of drugs, and accurate therapy. Because of the high capacity of NIR-II light in deep tissue penetration, improved spatiotemporal resolution can be achieved to facilitate the in vivo detection of gliomas via fluorescence imaging, and high contrast fluorescence imaging guided surgery can be realized. In addition to the precise imaging of tumors, drug delivery nano-platforms with NIR-II agents also allow the delivery process to be monitored in real-time. In addition, the combination of targeted drug delivery, photodynamic therapy, and photothermal therapy in the NIR region significantly improves the therapeutic effect against gliomas. Thus, this mini-review summarizes the recent developments in NIR-II fluorescence-based theranostic agents for glioma treatment.
Mapping musical dynamics in space. A qualitative analysis of conductors' movements in orchestra rehearsals
Authors: Meissl Katharina , Sambre Paul , Feyaerts Kurt
Published: November 2022

In this contribution, we examine the way in which orchestra conductors use the space around them to convey aspects of musical dynamics. In music,dynamicsrefers to the intensity of volume of notes and sounds and its interpretation is highly context-bound. We approach dynamics as a phenomenon of emergent and construed meaning in interaction, induced by the music score and the interpretationin situby musicians and the conductor. Conductors' movement-based instructions on dynamics result in highly complex usage events. This study aims at disentangling these instances by asking how conductors move and use the space around them to instruct on (un)desired aspects of musical dynamics, zooming in on movement direction as a central formal feature. We find ourselves at the crossroads of cognitive and interactional linguistics, aligning with existing studies on the interactional and contextually embedded nature of music interaction. From a cognitive linguistic perspective, this endeavor translates as the identification of the construal mechanisms (metaphor, specificity and viewpoint) that underlie and therefore motivate movement directions in the specific instances under examination. The analysis is based on 10h of video data from a corpus recorded during rehearsals of five conductors instructing their respective orchestras in Dutch. Our data reveal that conductors use different movement patterns, some of which appear to involve opposite movement directions for expressing a similar music dynamical aspect, e.g., depending on the usage event, a vertical upward movement can mean both a request for playing louder and softer. By taking into account different construal mechanisms, we are able to provide an encompassing multimodal analysis, in which these allegedly deviating oppositional movements appear as consistently motivated (metaphorical) expressions, which profile a similar target concept involving different viewpoints.
Association of height loss and cardiovascular disease: Data from a large Korean cohort
Authors: Moon Jeonggeun , Oh Pyung Chun , Lee Kyounghoon , Jang Ho-Jun , Kim Tae-Hoon , Park Sang-Don , Kwon Sung Woo , Kong Min Gyu , Suh Jon , Kang Woong Chol
Published: November 2022

Background

Height declines with age, and its degree differs among individuals. Despite epidemiologic evidence for the inverse relationship between adult height and cardiovascular disease (CVD) incidence, the clinical significance of height loss in CVD remains to be elucidated. Therefore, this study investigated the association between height loss and CVD incidence.

Methods

In total, 127,573 Korean participants were enrolled; their heights were monitored from 2002 to 2011. The annual height loss (cm/year) was the difference between the first and last height measurements within the observation period divided by the number of years. The participants were classified as Group 1 (height loss: <0.3 cm/year; n = 102,554), Group 2 (height loss: 0.3– < 0.6 cm/year; n = 17,324), or Group 3 (height loss: ≥0.6 cm/year; n = 7,695).

Results

The cumulative major adverse cardiac and cerebral event (MACCE: cardiac death, non-fatal myocardial infarction, and unplanned hospitalization for heart failure or stroke) incidence rate was 3.6% for Group 1, 4.5% for Group 2, and 5.2% for Group 3. Group 2 (hazard ratio [HR] = 1.27, 95% confidence interval [CI] = 1.17–1.37) and Group 3 (HR = 1.46, 95% CI = 1.32–1.62) had a significantly higher incidence of MACCE than Group 1. In the model adjusted for age, sex, comorbidities, income level, body mass index, smoking, and drinking status, the MACCE risk was higher in Group 2 (HR = 1.11, 95% CI = 1.07–1.20) and Group 3 (HR = 1.25, 95% CI = 1.13–1.39) than in Group 1.

Conclusion

The degree of height loss was independently associated with CVD occurrences in the Korean population.
Increased bystander intervention when volunteer responders attend out-of-hospital cardiac arrest
Authors: Nielsen Christian Gantzel , Folke Fredrik , Andelius Linn , Hansen Carolina Malta , Væggemose Ulla , Christensen Erika Frischknecht , Torp-Pedersen Christian , Ersbøll Annette Kjær , Gregers Mads Christian Tofte
Published: November 2022

Aim

The primary aim was to investigate the association between alarm acceptance compared to no-acceptance by volunteer responders, bystander intervention, and survival in out-of-hospital cardiac arrest.

Materials and methods

This retrospective observational study included all suspected out-of-hospital cardiac arrests (OHCAs) with activation of volunteer responders in the Capital Region of Denmark (1 November 2018 to 14 May 2019), the Central Denmark Region (1 November 2018 to 31 December 2020), and the Northern Denmark Region (14 February 2020 to 31 December 2020). All OHCAs unwitnessed by Emergency Medical Services (EMS) were analyzed on the basis on alarm acceptance and arrival before EMS. The primary outcomes were bystander cardio-pulmonary resuscitation (CPR), bystander defibrillation and secondary outcome was 30-day survival. A questionnaire sent to all volunteer responders was used with respect to their arrival status.

Results

We identified 1,877 OHCAs with volunteer responder activation eligible for inclusion and 1,725 (91.9%) of these had at least one volunteer responder accepting the alarm (accepted). Of these, 1,355 (79%) reported arrival status whereof 883 (65%) arrived before EMS. When volunteer responders accepted the alarm and arrived before EMS, we found increased proportions and adjusted odds ratio for bystander CPR {94 vs. 83%, 4.31 [95% CI (2.43–7.67)] and bystander defibrillation [13 vs. 9%, 3.16 (1.60–6.25)]} compared to cases where no volunteer responders accepted the alarm.

Conclusion

We observed a fourfold increased odds ratio for bystander CPR and a threefold increased odds ratio for bystander defibrillation when volunteer responders accepted the alarm and arrived before EMS.
WINNER: A network biology tool for biomolecular characterization and prioritization
Authors: Nguyen Thanh , Yue Zongliang , Slominski Radomir , Welner Robert , Zhang Jianyi , Chen Jake Y.
Published: November 2022

Background and contribution

In network biology, molecular functions can be characterized by network-based inference, or “guilt-by-associations.” PageRank-like tools have been applied in the study of biomolecular interaction networks to obtain further the relative significance of all molecules in the network. However, there is a great deal of inherent noise in widely accessible data sets for gene-to-gene associations or protein-protein interactions. How to develop robust tests to expand, filter, and rank molecular entities in disease-specific networks remains an ad hoc data analysis process.

Results

We describe a new biomolecular characterization and prioritization tool calledWeightedIn-NetworkNodeExpansion andRanking (WINNER). It takes the input of any molecular interaction network data and generates an optionally expanded network with all the nodes ranked according to their relevance to one another in the network. To help users assess the robustness of results, WINNER provides two different types of statistics. The first type is a node-expansionp-value, which helps evaluate the statistical significance of adding “non-seed” molecules to the original biomolecular interaction network consisting of “seed” molecules and molecular interactions. The second type is a node-rankingp-value, which helps evaluate the relative statistical significance of the contribution of each node to the overall network architecture. We validated the robustness of WINNER in ranking top molecules by spiking noises in several network permutation experiments. We have found that node degree–preservation randomization of the gene network produced normally distributed ranking scores, which outperform those made with other gene network randomization techniques. Furthermore, we validated that a more significant proportion of the WINNER-ranked genes was associated with disease biology than existing methods such as PageRank. We demonstrated the performance of WINNER with a few case studies, including Alzheimer's disease, breast cancer, myocardial infarctions, and Triple negative breast cancer (TNBC). In all these case studies, the expanded and top-ranked genes identified by WINNER reveal disease biology more significantly than those identified by other gene prioritizing software tools, including Ingenuity Pathway Analysis (IPA) and DiAMOND.

Conclusion

WINNER ranking strongly correlates to other ranking methods when the network covers sufficient node and edge information, indicating a high network quality. WINNER users can use this new tool to robustly evaluate a list of candidate genes, proteins, or metabolites produced from high-throughput biology experiments, as long as there is available gene/protein/metabolic network information.
Application of intervention mapping in cybersecurity education design
Authors: Pirta-Dreimane Rūta , Brilingaitė Agnė , Majore Ginta , Knox Benjamin James , Lapin Kristina , Parish Karen , Sütterlin Stefan , Lugo Ricardo Gregorio
Published: November 2022

Education in Cybersecurity is considered one of the key challenges facing the modern digitized world. Several frameworks, e.g., developed by NIST or ENISA, have defined requirements for cybersecurity education but do not give recommendations for their development. Developing appropriate education offerings need to incorporate theory-based approaches that are evidence supported. Adopting the Intervention Mapping paradigm, we propose an educational framework incorporating validated theoretical and evidence-based approaches to cybersecurity education encompassing stakeholders' input, identified competency needs, and how to implement and evaluate learning outcomes. This paper presents a case study of how Intervention Mapping can be used to help design cybersecurity education, discuss challenges in educational and professional aspects of cybersecurity, and present an applied educational approach based on Intervention Mapping and its evaluation.
Construction of a ferroptosis-related eight gene signature for predicting the prognosis and immune infiltration of thyroid cancer
Authors: Ren Xiaoying , Du Huijun , Cheng Weilun , Wang Yujing , Xu Yuanxin , Yan Shuang , Gao Yunan
Published: November 2022

Background

Thyroid cancer is the most common malignant tumor of the endocrine system. Most patients with thyroid cancer have a good prognosis, although a small proportion experience recurrence and metastasis and have a poor prognosis. Ferroptosis is a novel form of regulated cell death (RCD); previous studies have confirmed that ferroptosis was associated with thyroid cancer. The purpose of this study was to investigate the key ferroptosis-related genes in thyroid cancer and their relationship with prognosis and immune cell infiltration.

Methods

In this study, 497 thyroid cancer RNA expression datasets were downloaded from the cancer genome atlas (TCGA) cohort and a prognostic risk model for eight ferroptosis-related genes (FRGs) was constructed by Lasso-Cox regression. The prognostic value of the risk model and the correlation of prognostic features with immune scores and tumor immune cell infiltration were systematically analyzed.

Results

The prognostic risk model for eight FRGs (DPP4, TYRO3, TIMP1, CDKN2A, SNCA, NR4A1, IL-6 and FABP4) were constructed and validated in training and testing cohorts. Kaplan-Meier curve and receiver operating characteristic (ROC) curve analysis confirmed that that the ferroptosis-related eight gene signature had good predictive value for the prognosis of thyroid cancer (THCA) patients. Multivariate regression analysis further showed that the risk score of the prognostic model could be used as an independent prognostic factor for THCA patients. Functional enrichment analysis showed that DEGs in high risk and low risk groups were involved in immune-related biological processes and that there were significant differences in immune cell infiltration between the two risk groups.

Conclusion

We identified eight key genes related to ferroptosis in THCA patients. Further studies are now needed to investigate the mechanisms involved; these genes may represent clinical diagnostic and prognostic biomarkers.
Identification and validation of neurotrophic factor-related genes signature in HNSCC to predict survival and immune landscapes
Authors: Peng Gaoge , Chi Hao , Gao Xinrui , Zhang Jinhao , Song Guobin , Xie Xixi , Su Ke , Song Binyu , Yang Jinyan , Gu Tao , Li Yunyue , Xu Ke , Li Han , Liu Yunfei , Tian Gang
Published: November 2022

Background: Head and neck squamous cell carcinoma (HNSCC) is the seventh most common type of cancer worldwide. Its highly aggressive and heterogeneous nature and complex tumor microenvironment result in variable prognosis and immunotherapeutic outcomes for patients with HNSCC. Neurotrophic factor-related genes (NFRGs) play an essential role in the development of malignancies but have rarely been studied in HNSCC. The aim of this study was to develop a reliable prognostic model based on NFRGs for assessing the prognosis and immunotherapy of HNSCC patients and to provide guidance for clinical diagnosis and treatment.

Methods: Based on the TCGA-HNSC cohort in the Cancer Genome Atlas (TCGA) database, expression profiles of NFRGs were obtained from 502 HNSCC samples and 44 normal samples, and the expression and prognosis of 2601 NFRGs were analyzed. TGCA-HNSC samples were randomly divided into training and test sets (7:3). GEO database of 97 tumor samples was used as the external validation set. One-way Cox regression analysis and Lasso Cox regression analysis were used to screen for differentially expressed genes significantly associated with prognosis. Based on 18 NFRGs, lasso and multivariate Cox proportional risk regression were used to construct a prognostic risk scoring system. ssGSEA was applied to analyze the immune status of patients in high- and low-risk groups.

Results: The 18 NFRGs were considered to be closely associated with HNSCC prognosis and were good predictors of HNSCC. The multifactorial analysis found that the NFRGs signature was an independent prognostic factor for HNSCC, and patients in the low-risk group had higher overall survival (OS) than those in the high-risk group. The nomogram prediction map constructed from clinical characteristics and risk scores had good prognostic power. Patients in the low-risk group had higher levels of immune infiltration and expression of immune checkpoints and were more likely to benefit from immunotherapy.

Conclusion: The NFRGs risk score model can well predict the prognosis of HNSCC patients. A nomogram based on this model can help clinicians classify HNSCC patients prognostically and identify specific subgroups of patients who may have better outcomes with immunotherapy and chemotherapy, and carry out personalized treatment for HNSCC patients.