bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Molecular Mechanism of HongTeng Decoction against Inflammation
based on Network Analysis and Experiments Validation
Authors: Yang Yuanyuan , Bi Chongwen , Li Bin , Li Yun , Song Yin , Zhang Minghui , Peng Longxi , Fan Dongmei , Duan Rong , Li Zhengxiang
Published: June 2023

Background:

HongTeng Decoction (HTD) is a traditional Chinese medicine that is
widely used to treat bacterial infections and chronic inflammation. However, its pharmacological
mechanism is not clear. Here, network pharmacology and experimental verification were applied
to investigate the drug targets and potential mechanisms of HTD in inflammation treatment.

Methods:

The active ingredients of HTD were collected from the multi-source databases and clarified
by Q Exactive Orbitrap analysis in the treatment of inflammation. Then, molecular docking
technology was used to explore the binding ability of key active ingredients and targets in HTD.
In vitro experiments, the inflammatory factors and MAPK signaling pathways are detected to verify
the anti-inflammatory effect of HTD on the RAW264.7 cells. Finally, the anti-inflammatory
effect of HTD was evaluated in LPS induced mice model.

Result:

A total of 236 active compounds and 492 targets of HTD were obtained through database
screening, and 954 potential targets of inflammation were identified. Finally, 164 possible targets
of HTD acting on inflammation were obtained. The PPI analysis and KEGG enrichment analyses
showed that the targets of HTD in inflammation were mostly related to the MAPK signaling
pathway, the IL-17 signaling pathway, and the TNF signaling pathway. By integrating the results
of the network analysis, the core targets of HTD in inflammation mainly include MAPK3, TNF,
MMP9, IL6, EGFR, and NFKBIA. The molecular docking results indicated solid binding activity
between MAPK3-naringenin and MAPK3-paeonol. It has been shown that HTD could inhibit the
levels of inflammatory factors, IL6 and TNF-α, as well as the splenic index in the LPS-stimulated
mice. Moreover, HTD could regulate protein expression levels of p-JNK1/2, and p-ERK1/2,
which reflects the inhibitory effect of HTD on the MAPKS signaling pathway.

Conclusion:

Our study is expected to provide the pharmacological mechanisms by which HTD
may be a promising anti-inflammatory drug for future clinical trials.
In silico Identification of Potential Inhibitors against Staphylococcus aureus
Tyrosyl-tRNA Synthetase
Authors: Monobe Kohei , Taniguchi Hinata , Aoki Shunsuke
Published: June 2023

Background:

Drug-resistant Staphylococcus aureus (S. aureus) has spread from nosocomial
to community-acquired infections. Novel antimicrobial drugs that are effective against
resistant strains should be developed. S. aureus tyrosyl-tRNA synthetase (saTyrRS) is considered
essential for bacterial survival and is an attractive target for drug screening.

Objective:

The purpose of this study was to identify potential new inhibitors of saTyrRS by
screening compounds in silico and evaluating them using molecular dynamics (MD) simulations.

Methods:

A 3D structural library of 154,118 compounds was screened using the DOCK and
GOLD docking simulations and short-time MD simulations. The selected compounds were subjected
to MD simulations of a 75-ns time frame using GROMACS..

Results:

Thirty compounds were selected by hierarchical docking simulations. The binding of
these compounds to saTyrRS was assessed by short-time MD simulations. Two compounds with
an average value of less than 0.15 nm for the ligand RMSD were ultimately selected. The longtime
(75 ns) MD simulation results demonstrated that two novel compounds bound stably to saTyrRS
in silico.

Conclusion:

Two novel potential saTyrRS inhibitors with different skeletons were identified by
in silico drug screening using MD simulations. The in vitro validation of the inhibitory effect of
these compounds on enzyme activity and their antibacterial effect on drug-resistant S. aureus
would be useful for developing novel antibiotics.
An Outline of the Immunogenic Potential of Progressing SARSCoV-
2 Vaccine Technologies among Children and Adolescents
Authors: Ghanem Hytham , Ghanem Shehab , AlMutawa Ehsan
Published: June 2023

Background:

SARS-CoV-2, a highly dynamic beta-coronavirus, can afflict all
age groups. Notably, over 16100 mortalities have been recorded among children as yet. In
this regard, many vaccine projects are operational to assess immuno-potency among young
cohorts. A bulk of reports have evidenced the efficacy of these immunization technologies
in the elderly population, though the impact is yet to be determined among children.

Objective:

This review is envisioned to outline the current efficacy of contributing vaccine
technologies and examine the dose-dependent impact of immunization regimens in lowering
the risks of SARS-CoV-2 infections among children and adolescents. Furthermore, the
current review exclusively estimated the vaccine impact at current doses.

Methods:

A total of 52 research papers extracted from PubMed, Pubmed Central, Science
Direct, Research Gate, Google Scholar and Semantic Scholar were screened along with an
emphasis on patents. Inclusion criteria involved all published reports directly or indirectly
linked to the contributing vaccine candidates that are operational among the young cohort.
Unrelated research papers were excluded from the study. Key search terminologies included
information on vaccine identifiers, such as name, type and clinical trial ID, and successively
restricted to children and adolscents age groups.

Results:

Several vaccine designs, such as mRNA-based vaccinations, viral vector vaccines,
DNA vaccines, inactivated vaccines, recombinant vaccines, and protein-based immunizations,
are being examined at various stages of clinical trials to gauge the effects on
children and adolescents. With reference to the published reports, the mRNA 1273 (1610
GMT; 6-10 yrs, 1401 GMT; 12-15 yrs), BNT162b2 (1407 GMT; 6 months- <2 yrs, 1535
GMT; 2-4 yrs, 4583 GMT; 5-11 yrs, 1239.5 GMT; 12-15 yrs) and Ad5 nCoV (1037.5
GMT; 6-17 yrs) offered relatively high neutralization titers with sharp seroconversion rates
compared to MVC-COV1901 (648.5 GMT; 12-17 yrs) and ZyCoV-D (133.49 GMT; 12-17
yrs), which produced modest immune responses.

Conclusion:

Currently, the WHO is analyzing emerging evidence to issue an emergency
use list of vaccines for vaccinating children and adolescents.
A Digital Twin-based Framework of Motion Control and State Monitoring
for Pneumatic Muscle
Authors: Xie Shenglong , Liu Wenyuan , Duan Huiru , Chen Dijian , Wan Yanjian
Published: June 2023

Introduction:

The current digital twin systems usually have the drawback of high cost and
complex technology, and it is necessary to develop a simple solution to reduce the cost and cycle for the
development of digital twin systems, especially for small projects or systems with simple structures.

Objective:

A low-cost patent technology of digital twin system was proposed by taking the motion control
and state monitoring system (MCSMS) of pneumatic muscle as an example.

Methods:

The MCSMS is developed based on the browser/server architecture. The software of 3ds Max
and SolidWorks are used to make the virtual model, Three.js and JavaScript are applied to build the
browser side. Data of the physical world is collected and processed on the server side firstly, and then is
sent to the browser side through HTTP communication protocol to realize data interchange between the
browser and server.

Results:

In the roaming experiment and the experiment of motion control and state monitoring of
pneumatic muscle, the MCSMS can work smoothly without obvious delay and has good real-time performance,
which can realize the 3D visual monitoring of the pneumatic muscle very well.

Conclusion:

The experimental results indicate that the proposed method possesses the ability of good
feasibility and effectiveness.
Harmonic Characteristics and Negative Sequence Analysis of Regenerative
Braking for High-speed Railway
Authors: Zhang Haigang , Zhou Haoqiang , Zhao Decheng , Zeng Song , Wang Zizhuo , Zhu Jianpeng , Wang Bulai , Wan Heng
Published: June 2023

Background:

The traction power supply system (TPSS) of railways mainly focuses on power
quality analysis. In the study of harmonic and negative order currents, about 80% of the literature analysis
are not specific enough， there is a lack of completeness in the simulation system.

Objective:

Analyze the influence of harmonic and negative current sequences of TPSS on the system
circuit, and realize intelligent recognition for different working conditions.

Methods:

The converter is designed based on the transient direct current control technology and the
harmonic model of grid-side regenerative braking is established. According to the parameters of CRH2
(CRH380AL) locomotive, the EMU model is built and run in the TPSS for joint simulation. The availability
of the model is verified by combining the harmonic content and voltage level. Then, the distribution
of negative sequence current under the no-load, traction and regenerative braking conditions of the
system is analyzed in detail, and the negative sequence characteristic waveform under various conditions
is obtained, so as to obtain the variation law of negative sequence current under different conditions.

Results:

Under the regenerative braking condition, the current harmonic distortion is much higher than
that under the traction condition. From the analysis of voltage and current phase, the power factor of regenerative
braking is also small. In the negative sequence analysis, the tip negative sequence current
impact phenomenon occurs mostly during the traction operation of the train, while the current impact
effect is weakened during regenerative braking, but the amplitude of the negative sequence fluctuation
shows an increasing trend.

Conclusion:

The energy generated by regenerative braking will be utilized by the locomotive under
traction, and these bad electric energy forms will have extremely adverse effects on the process of
high-speed train receiving and changing current. These negative sequence analysis results can be used
to identify and classify different working conditions and divide and conquer energy compensation
actions to achieve energy saving and consumption reduction.
Research on Multirelational Entity Modeling based on Knowledge Graph
Representation Learning
Authors: Fan Tongke
Published: June 2023

Background:

A research concern revolves around as to what can make the representation
of entities and relationships fully integrate the structural information of the knowledge atlas to
solve the entity modeling capability in complex relationships. World knowledge can be organized
into a structured knowledge network by mining entity and relationship information in real texts. In
order to apply the rich structured information in the knowledge map to downstream applications, it
is particularly important to express and learn the knowledge map. In the knowledge atlas with expanding
scale and more diversified knowledge sources, there are many types of relationships with
complex types. The frequency of a single relationship in all triples is further reduced, which increases
the difficulty of relational reasoning. Thus, this study aimed to improve the accuracy of
relational reasoning and entity reasoning in complex relational models.

Methods:

For the multi-relational knowledge map, CTransR based on the TransE model and
TransR model adopts the idea of piecewise linear regression to cluster the potential relationships
between head and tail entities, and establishes a vector representation for each cluster separately, so
that the same relationship represented by different clusters still has a certain degree of similarity.

Results:

The CTransR model carried out knowledge reasoning experiments in the open dataset, and
achieved good performance.

Conclusion:

The CTransR model is highly effective and progressive for complex relationships. In
this experiment, we have evaluated the model, including link prediction, triad classification, and
text relationship extraction. The results show that the CTransR model has achieved significant improvement.
Diversity and Biotic Index of Wild Pioneer Plants as Potential Bioindicators of Crude Oil-Contaminated Soil in Siak Regency, Riau Province, Indonesia
Authors: Risaundi Dodi
Published: June 2023

This study aims to determine the spatial variations in the diversity of wild pioneer plants along the gradation of crude oil-polluted soils and to analyze their biotic potential as a bioindicator of crude oil-contaminated soils in Siak Regency. Sampling was done in three oil wells using a purposive sampling method (center, edge, far from the well) measuring 1 x 1 m2. The soil at each contamination gradation was composited and analyzed for Total Petroleum Hydrocarbon (TPH) content. Vegetation data were analyzed using biotic indices such as density, Shannon-Wiener distribution index, species richness, rate of endemism, and importance value index. Potential bioindicator was analyzed by regression analysis, biplot, and IndVal. The results showed spatial variations in colonization, diversity, and structure of pioneer plants along the gradation of oil contamination. Species from the Cyperaceae, notably Scleria sumatrensis, Cyperus rotundus, and Fimbristylis ovata, were found in the center of the contamination area and resistant to oil contamination. The regression and biplot analysis revealed that along with the increasing soil TPH, the species richness and diversity index tended to decline, but the rate of endemism increased. IndVal analysis showed that C. rotundus and S. sumatrensis showed a potential bioindicators of oil-contaminated soils with TPH content of 2,700 to 3,300 ppm, while F. ovata, Panicum repens, and Imperata cylindrica was potential for TPH 692 to 851 ppm. Mimosa pudica was a sensitive plant and found on the soil TPH 73 ppm.
Developing mathematics comics through Instagram themed local culture as an alternative learning solution
Authors: Hidayah Nana Apriana Nur , Winarno Winarno , Istiqlal Muhammad
Published: June 2023

This study aimed to explore mathematical comics learning media through Instagram social media with the theme of local culture as an alternative learning solution that is feasible to use in terms of validity, practicality, and effectiveness. This study used the ADDIE development model. Analysis, to determine the problem and solution. Design, that is designing learning materials and objectives; sketching names, figures, and characters; compiling a script; making a storyboard; creating Instagram feed content. Development is the process of finishing the manufacture of products. The implementation of the product validation test was carried out by two experts in mathematics education and tested by students and teachers in a Junior High School in Salatiga. Evaluation is carried out as the final version of the material for further research based on teacher and student responses. Data collection methods in this study are observation, interviews, questionnaires, literature study, and documentation. The results showed that comics with local characters can engage students in learning mathematics. First, they might be interested to know the local culture and then were realized mathematical thinking. The data showed an average validity of 4.15 with a valid category, average practicality of 4.27 categorized as practical, and an average evaluation test obtained a result of 8.5 so it was categorized as effective on student learning outcomes. Therefore, when creating comics for learning in social media, using local culture is suggested.
Ethnomathematics in ten Indonesian traditional musical instruments
Authors: Kristyasari Yohana Sinta , Sukoco Heru
Published: June 2023

This article aimed to describe the results of the ethnomathematical exploration of traditional musical instruments that can be used as mathematics teaching materials. The research method chosen in this study was the Systematic Literature Review (SLR) method. The SLR method is used to identify, review, evaluate, and interpret available research with areas and topics of interest. Data collection is done by documenting and reviewing all articles related to ethnomathematics on traditional musical instruments, selecting only those using Indonesian traditional instruments, and publishing them in Indonesian national journals. It was found that 10 articles matched these criteria. The results showed that ethnomathematics-based mathematics learning on traditional musical instruments can be used in the learning process and can be used as a learning resource, a means of introducing mathematics through culture, implemented in mathematics learning, and as teaching materials in learning mathematics. The uses in learning can be the shapes of the instruments as well as how to play the instruments that yield number patterns.
TINGKAT PARTISIPASI CIVITAS AKADEMIK FT UNY DALAM PROGRAM KONSERVASI ENERGI
Authors: Sukisno Toto , Muhfizaturrahmah Muhfizaturrahmah , Yuniarti Nurhening
Published: June 2023

ABSTRACT:Electricity consumption is influenced by activities, habit, life style and equipment used by human (Susanti, 2014) thus it is necessary to find the relationship between the individuals’ participation in conserving the energy and the total energy used. This study aims to find out how far the involvement of students, teaching staff, and administrative staff at Faculty of Engineering Yogyakarta State University in saving the energy. This research used quantitative approach. The data was collected using questionnaire and documentation. The result shows that the participation of people at Faculty of Engineering Yogyakarta State University in conserving the energy falls in medium level which is 60 %.ABSTRAK:Pemakaian energi listrik dipengaruhi oleh tingkah laku, kebiasaan konsumen, gaya hidup dan peralatan (Susanti, 2014) sehingga perlu dilakukan penelitian untuk mengungkap sejauh mana partisipasi dari civitas akademika terhadap program konservasi (penghematan) energi. Penelitian ini bertujuan untuk mengetahui: (1) mengetahui tingkat partisipasi mahasiswa; (2) mengetahui tingkat partisipasi tenaga pendidik; dan (3) mengetahui tingkat partisipasi tenaga kependidikan dalam program konservasi energi di lingkungan Fakultas Teknik Universitas Negeri Yogyakarta. Metode yang digunakan dalam penelitian ini yaitu menggunakan pendekatan penelitian kuantitatif. Data penelitian ini dikumpulkan menggunakan angket dan dokumentasi, yang selanjutnya dianalisis secara persentase. Hasil penelitian yang diperoleh menunjukkan bahwa tingkat partisipasi civitas akademik FT UNY dalam program konservasi energi masih kategori sedang, dengan rata-rata 60 %.
PERANCANGAN APLIKASI E-MODUL PEMBELAJARAN INFORMATIKA DI MTS NEGERI 6 AGAM
Authors: Putra Yudhi Permana , Musril Hari Antoni
Published: June 2023

ABSTRACT:In its implementation, motivated by the need for an e-module learning media that is more interesting, one that can be utilized is the application of electronic modules (e-modules). E-modules can be made with various applications, one of which is the sigil application. Components are made to make it easier for students to understand learning with the features that exist in the application, besides that in solving existing problems students can also see the steps on how to complete the exercises and assignments. The research method used is the Research and Development (RD) research method. The system development model uses the System Development Life Cycle (SDLC) by applying the development model (Luther Sutopo). The results of the validity test conducted by computer experts showed that this product with a value of 0.82 was very good. The results of the practicality test conducted by the informatics subject teacher of this product were declared very practical, the value of 0.86 was very practical. And the results of the effectiveness test carried out with a value of 0.86 are very good.ABSTRAK:Dalam pelaksanaannya, dilatar belakangi oleh perlu adanya sebuah media pembelajaran e-modul yang lebih menarik, Salah satu yang bisa dimanfaatkan adalah penerapan electronic modul (e-modul). E-modul dapat dibuat dengan berbagai macam aplikasi, salah satunya aplikasi sigil. Komponen yang dibuat untuk mempermudah siswa dalam memahami pembelajaran dengan fitur-fitur yang ada pada aplikasi tersebut, selain itu dalam menyelesaikan permasalahan yang ada siswa juga bisa melihat langkah-langkah bagaimana menyelesaikan latihan dan tugas yang dikerjakan. Metode penelitian yang digunakan adalah metode penelitian Research and Development (RD). Model pengembangan sistemnya menggunakan System Development Life Cycle (SDLC) dengan menerapkan model pengembangan (Luther Sutopo). Hasil uji validitas yang dilakukan oleh ahli komputer menunjukkan produk ini dengan nilai 0,82 sangat baik. Hasil uji praktikalitas yang dilakukan oleh guru mata pelajaran informatika produk ini dinyatakan sangat praktis nilai 0,86 sangat praktis. Dan hasil uji efektifitas yang dilakukan dengan dengan nilai 0,86 sangat baik.
PROTOTIPE SISTEM MONITORING KONSUMSI ENERGI LISTRIK SERTA ESTIMASI BIAYA PADA PERALATAN RUMAH TANGGA BERBASIS INTERNET OF THINGS
Authors: Adiwiranto Mohamad Nursamsi , Waluyo Catur Budi , Sudibya Bambang
Published: June 2023

ABSTRACT:Electricity has become a basic necessity for everyone. Household appliances using electricity have become a basic human need today. Monitoring equipment is needed to know how much power, energy, used and the estimated cost to be paid. The tool designed for this monitoring system uses a PZEM-004T sensor, the platform Ubidots and NodeMCU. The PZEM-004T sensor functions to measure the voltage, current, power, power factor, and energy contained in electrical loads. And NodeMCU is needed as a microcontroller. The results can be displayed on the platform Ubidots and the 16x2 LCD used. The test results obtained through measurements using the PZEM-004T sensor for designing a prototype energy monitoring system have a voltage accuracy value of 98.94%, 99.18% current, 98.87% power, 98.44% power factor, and 97 electrical energy consumption. , 89%. In household electrical appliances (led lights, televisions, fans, ricecookers, and laptop chargers) the results of electrical energy consumption in a month are 43.56 kWh and the estimated cost is Rp 114.781.52.ABSTRAK:Listrik sudah menjadi kebutuhan dasar setiap orang. Peralatan rumah tangga dengan menggunakan listrik telah menjadi kebutuhan dasar manusia saat ini. Dibutuhkan alat monitoring agar diketahui berapa besar daya, energi, yang digunakan dan estimasi biaya yang harus dibayarkan. Alat yang dirancang untuk sistem monitoring ini menggunakan sensor PZEM-004T, platform Ubidots serta NodeMCU. Sensor PZEM-004T berfungsi untuk mengukur tegangan, arus, daya, faktor daya dan energi yang terdapat pada beban listrik. Serta dibutuhkan NodeMCU sebagai mikrokontroler. Hasilnya dapat ditampilkan pada platform Ubidots dan LCD 16x2 yang digunakan. Dari hasil pengujian yang didapat melalui pengukuran menggunakan sensor PZEM-004T untuk perancangan prototipe sistem monitoring energi memiliki nilai akurasi tegangan sebesar 98.94%, Arus 99.18%, daya 98.87%, faktor daya 98.44%, serta konsumsi energi listrik 97.89%. Selain daripada itu peralatan listrik rumah tangga (lampu led, televisi, kipas, ricecooker, dan charger laptop) didapatkan hasil konsumsi energi listrik dalam waktu sebulan sebesar 43.56 kWh dan estimasi biaya sebesar Rp 114.781.52.
MULTIMEDIA PEMBELAJARAN INTERAKTIF AUGMENTED REALITY PENGENALAN KAMERA DAN TEKNIK FOTOGRAFI
Authors: Herniawan Muhamad , Vivianti Vivianti
Published: June 2023

ABSTRACT:The purpose of this study was to develop learning media for camera recognition materials and photography techniques for class XI MM students at SMK Negeri 1 Godean, and to determine the feasibility and effectiveness of the media. Research Development (RD) is used as a method in this research. The development model used by ADDIE is analysis, design, development, implementation and evaluation. Collecting data using observation, interviews and questionnaires. The data were analyzed and tested to determine the feasibility and effectiveness of the media. The first test by media experts scored 89.28% (very decent). Tests by material experts get a score of 100% (very feasible). Testing by students obtained a score of 82.11% (decent). The effectiveness of the media in obtaining the N-Gain score is 43% (medium). It can be concluded that the learning media is feasible and effective to use in learning the introduction of cameras and photography techniques for class XI at the SMK N 1 Godean.ABSTRAK:Tujuan penelitian adalah mengembangkan media pembelajaran materi pengenalan kamera dan teknik fotografi untuk siswa kelas XI Multimedia (MM) di SMK Negeri 1 Godean, serta mengetahui tingkat kelayakan dan efektivitas media. Research Development (RD) digunakan sebagai metode dalam penelitian ini. Model pengembangan yang digunakan ADDIE yaitu analysis, design, development, implementation and evaluation. Pengambilan data menggunakan metode observasi, wawancara dan kuesioner. Data dianalisis dan diuji untuk mengetahui nilai kelayakan dan efektivitas media. Pengujian pertama oleh ahli media memperoleh nilai 89,28% (sangat layak). Pengujian oleh ahli materi memperoleh nilai 100% (sangat layak). Pengujian oleh siswa memperoleh nilai 82,11% (layak). Efektivitas media memperoleh nilai N-Gain score adalah 43% (sedang). Dapat disimpulkan bahwa media pembelajaran layak dan efektif digunakan pada pembelajaran pengenalan kamera dan teknik fotografi kelas XI di SMK N 1 Godean.
ANALISIS KUALITATIF TEKNOLOGI 5G PENGGANTI 4G DI INDONESIA
Authors: Andalisto Ditra , Saragih Yuliarman , Ibrahim Ibrahim
Published: June 2023

ABSTRACT:This scientific paper discusses and finds that the need for 5G in Indonesia is of a high level of urgency because it is needed by almost everyone in the use of voice calls, internet data and video as online transmissions such as distance learning, video conferencing, webinars, and election of regional leaders online. . This mass use requires a large-capacity band width and 5G is able to answer that need. However, from the results of this qualitative research, it was found that the situation of telecommunications infrastructure in Indonesia which is an archipelagic country has not been able to install 5G devices in all areas including frontier, remote, and disadvantaged (3T) areas in the near future even though the Indonesian Ministry of Communication and Informatics had announced a commercial 5G target. In 2020 but not yet proven. Meanwhile, the continuity of 4G, which has very high costs, has not yet returned the investment (Break Even Point) to operators of wireless telephone operators, so that the 5G decision for now in Indonesia cannot be implemented due to these factors.ABSTRAK:Tulisan ilmiah ini membahas dan menemukan bahwa kebutuhan 5G di Indonesia dengan tingkat urgensi yang tinggi karena dibutuhkan hampir semua orang dalam penggunaan voice call, data internet dan video sebagai transmisi daring seperti belajar jarak jauh, video conference, webinar, serta pemilihan para pemimpin daerah secara daring. Pemakaian massal tersebut membutuhkan lebar band berkapasitas besar dan 5G mampu menjawab kebutuhan itu. Namun dari hasil penelitian kualitatif ini maka ditemukan bahwa situasi infrastruktur telekomunikasi di Indonesia yang merupakan negara kepulauan belum mampu memasang perangkat 5G di seluruh area termasuk daerah terdepan, terpencil, dan tertinggal (3T) dalam waktu dekat walaupun sempat dicanangkan kementerian kominfo indonesia target komersial 5G ada di tahun 2020 tapi belum terbukti. Sementara keberlangsungan 4G yang berbiaya sangat tinggi belum balik modal (Break Even Point) kepada operator penyelenggara telepon tanpa kabel sehingga keputusan 5G untuk saat ini di Indonesia belum dapat dilaksanakan karena faktor-faktor tersebut.
PENGEMBANGAN SISTEM PERHITUNGAN ANGKA KREDIT PADA DUPAK JABATAN FUNGSIONAL WIDYAISWARA BERBASIS WEB
Authors: Fadillah Nanda Lidya , Vivianti Vivianti
Published: June 2023

ABSTRACT:This study aims to develop a Credit Score Calculation System for the Widyaiswara Functional Dupak at the Makassar Religious Education and Training Center. This research is expected to produce a good and efficient system. The type of research from the development of a credit score calculation system uses the type of research and development or Research and Development (RD). This research model uses the Waterfall development model. This model has four stages of development including analysis, design, code, testing, and maintenance. The system development process uses several programming languages as the main tools including the PHP programming language, MySQL database, Bootstrap Framework and Codeigniter. The product that will be produced is a web-based application system with the main function as an application for calculating credit scores at the Widyaiswara Functional Dupak at the Makassar Religious Education and Training Center.ABSTRAK:Penelitian ini bertujuan untuk mengembangkan Sistem Perhitungan Angka Kredit pada Dupak Jabatan Fungsional Widyaiswara di Balai Diklat Keagamaan Makassar. Penelitian ini diharapkan mampu menghasilkan sistem yang baik dan efisien. Jenis penelitian dari pengembangan sistem perhitungan angka kredit menggunakan jenis penelitian dan pengembangan atau Research and Development (RD). Model penelitian ini menggunakan jenis model pengembangan Waterfall. Model ini memiliki empat tahap pengembangan diantaranya adalah analysis, design, code, testing, dan maintenance. Proses pengembangan sistem menggunakan beberapa bahasa pemograman sebagai tools utama diataranya yaitu bahasa pemograman PHP, Database MySQL, Framework Bootsrap dan Codeigniter. Produk yang akan dihasilkan adalah sistem aplikasi berbasis web dengan fungsi utama adalah sebagai aplikasi perhitungan angka kredit pada Dupak Jabatan Fungsional Widyaiswara di Balai Diklat Keagamaan Makassar.
VIRTUAL DISTRIBUTING STATION SEBAGAI SARANA MEDIA PEMROGRAMAN PLC
Authors: Badarudin Rohjai
Published: June 2023

ABSTRACTThis study aims to develop learning media Virtual Distributing Station for PLC programming. The development model adopts the water-fall procedure from Presman. The waterfall procedure includes 1) communication, 2) planning, 3) modeling, 4) construction, and 5) system delivery. Product validation is carried out by material experts, media experts, and early adopters. The research instrument used a questionnaire with a 4-point Likert scale. The results showed that the performance of the virtual distributing station was included in the Very Eligible category, the feasibility of the virtual distributing station was included in the Very Appropriate category according to material experts, media experts, and early user responses. Thus, the virtual distributing station is very feasible to be used as a PLC programming medium because (1) it has met the eligibility test criteria, (2) it is flexible, it can be installed on a large number of computers, (3) it can be operated based on PLC programming, (4) more economical, limited to PLC programming to operate distributing station.ABSTRAKPenelitian ini bertujuan untuk mengembangkan media pembelajaran Virtual Distributing Station untuk pemrograman PLC. Model pengembangan mengadopsi dari prosedur water-fall dari Presman. Prosedur water-fall meliputi 1) komunikasi, 2) perencanaan, 3) pemodelan, 4) konstruksi, dan 5) penyerahan sistem. Validasi produk dilakukan oleh ahli materi, ahli media, dan pengguna awal. Instrumen penelitian menggunakan angket dengan skala likert 4 poin. Hasil penelitian diketahui bahwa unjuk kerja virtual distributing station termasuk dalam kategori Sangat Layak, kelayakan virtual distributing station termasuk dalam kategori Sangat Layak menurut ahli materi, ahli media, dan respon pengguna awal. Dengan demikian virtual distributing station Sangat Layak  untuk digunakan sebagai sarana media pemrograman PLC karena (1) telah memenuhi kriteria uji kelayakan, (2) fleksibel, bisa dipasang pada komputer dalam jumlah banyak, (3) dapat dioperasikan berbasis pemrograman PLC, (4) lebih ekonomis, sebatas pada pemrograman PLC untuk mengoperasikan distributing station.
Voltage THD Analysis on the Use of DC Motors in Steel Milling Process
Authors: Muzakki Rizdam Firly , Irianto Chairul Gagarin
Published: June 2023

A milling process utilize DC motors and rectifier circuits. Semiconductor components in the rectifier circuit could cause harmonic distortion. At PT X, the voltage THD generated at the 6KV feeder panel has exceeded the standards set by the IEEE. This study aims to analyze the voltage THD caused by a controlled rectifier circuit and DC motors, and to design a filter to mitigate it. MATLAB software is used to analyze the THD voltage. From the simulation results, it is known that the 400KW, 450KW, and 600KW DC motors produce voltage THD values of 9.35%, 14.23%, and 12.28% respectively which exceed the set standards of 8%. A single-tuned passive filter is designed to reduce the THD voltage value on each motor. The installation of the filter effectively reduces the THD voltage value in the 400KW, 450KW, and 600KW DC motors to 4.34%, 5.38%, and 6.35% respectively.
Alternative Characteristics Analysis of Mixture Oil Transformer using Breakdown Voltage Method
Authors: Yahya Muhammad Amri , Prasetyo Tegar , Hermialingga Septi , Putri Manurung Nancy Eka
Published: June 2023

This research shows the effect of oil mixture and temperature on breakdown voltage. Palm oil is combined with diala-b oil in various mix ratios and various temperatures. Test results on the sample, as the concentration of the mixture of diala-b oil increases, the breakdown voltage value also increases. The breakdown voltage values of all oil mixture samples that have gone through the treatment process have met the IEC standard No. 56 of 1991 with results that are classified as above the standard (standard ≥ 30kV/2.5mm). Breakdown voltage values for the composition of 100% diala-b oil, 100% palm oil, and a mixture of 50% diala-b oil: 50% palm oil at 60 °C, 70 °C, 80 °C, 90 °C, and 100 °C is above the standard that is ≥ 30 kV. Water content and acidity affect the breakdown voltage value. Based on the results of breakdown voltage testing that has been done, palm oil can be used as an alternative to transformer oil.
Flood Identification and Mitigation: Flood risk trend by using PCA and SPC Analysis
Authors: Jaafar Jurina , Abdul Hamid Noor Sa’adah , Othman Zulhafizal , Qudus Nur
Published: June 2023

PCA and SPC were used to identify data variables that trigger flooding and assess flood risk in the Muda River basin. Three (3) hydrologic variables, RL, WL, and SF, are analyzed using correlation tests, PCA and SPC. The Pearson correlation test shows SF and WL have significant correlations. The PCA indicates that all hydrologic variables are significant. The SPC shows ideal flood control values for the Muda River basin. The runoff value exceeding the UCL increases flood risk. The rapid expansion of development and anthropogenic activities have caused heavy rainfall and hydrologic variables to increase above normal levels.
ANALYZING THE SKILL GAP AMONG MBA GRADUATES IN TIER 4 REGIONS IN TAMIL NADU
Authors:   Kalasalingam Academy of Research, India
Published: June 2023

In this paper, we quantitively analyse the skill gap among the MBA graduates in tier 4 regions in Tamil Nadu. This study looked at a total of 14 different potential variables on employability traits to investigate the issue that the researchers were interested. By teaching students’ new abilities, teachers are able to demonstrate to pupils how to advance in their jobs and boost their employability. On the other hand, in order to graduate with respectable grades, they are putting in additional effort. A quantitative assessment is conducted to test the hypothesis for finding the skill gap and to provide suggestions on various skills to be offered for students among tier 4 regions.
AN DEVELOPMENT OF BUSINESS IDENTIFY FOR STRATEGIC POSITIONS IN A TOP LEVEL MANAGEMENT USING DYNAMIC EVALUATION MODEL
Authors:   K.L.N. College of Engineering, India
Published: June 2023

Employees are the most valuable resource for any company. The overall performance of the organization largely depends on efficient personnel management. Competent, efficient and loyal employees can significantly increase the performance of the company. Intangible assets are one of the most important sources of competitive advantage. Knowledge, skills, experience of employees is the most valuable intangible assets of a company. The management of companies understands that the main capital of the company is not money and material resources, but the creators of this money, these material resources, the “knowledge” of the company, which are a set and practices, methods, techniques and technologies for building a business at organizational maturity. In this paper, a dynamic evaluation model was proposed to manage the top level management for various strategic positions. Investments in personal education will allow your organization to gain a sustainable competitive advantage in a dynamically evolving external environment.
Nanomaterials with Plant or Animal Origin for Greener Biodelivery and Biosensor Applications: A Review
Authors: Turasan Hazal , Rouf Tahrima Binte , Yilmaz Tuncay , Kokini Jozef L.
Published: June 2023

Nanomaterials are now used in almost every field of science; as conductors and electrodes in electronics, as nanodelivery systems in health screenings and drug delivery, as nanofibrils in filtering and textile industry, as nanoparticles in biosensor fabrication for toxin and pathogen detection, and in packaging materials in the food industry. Synthetic materials and plastics accumulate in the environment causing increasing health concerns for their use in food and pharmaceutical products. Therefore, researchers now try to find new greener fabrication methods for nanomaterials. In this review, some of the most recent studies were summarized and discussed where novel green nanomaterials were synthesized from plant or animal-based polymers. The focus has been given on the synthesis of 1) nanodelivery systems for bioactive and drug delivery in the form of nanoparticles, nanotubes and nanofibers, 2) nanophotonic film or nanofiber-based biosensors for food toxin and pathogen detection, and 3) functional nanocomposite films. The studies summarized here give the reader a clear understanding of the science behind creating green nanomaterial-based systems and how they are used in various applications.
Cyclosporine in the Treatment of Drug Reaction With Eosinophilia and Systemic Symptoms Syndrome: Retrospective Cohort Study
Authors: Zita Sophia , Broussard Lindsey , Hugh Jeremy , Newman Sabrina
Published: June 2023

Background

Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome is a severe, life-threatening reaction to a culprit drug that frequently involves end-organ damage. Corticosteroids are the first-line treatment for DRESS syndrome; however, corticosteroids may be contraindicated in certain patient populations. There are currently only 54 cases detailing the use of cyclosporine for the treatment of DRESS syndrome reported in the literature.

Objective

The aim of this case series was to examine the treatment of DRESS syndrome with cyclosporine in a large patient cohort by aggregating time to symptom resolution, recurrence rate, and treatment dose and duration.

Methods

This study was a retrospective cohort study. Patients diagnosed with DRESS syndrome by a board-certified dermatologist and treated at the University of Colorado Hospital from 2015 to 2019 were included.

Results

Our inclusion criterion was met by 19 occurrences of DRESS syndrome. With a short course of cyclosporine, 17 of 19 patients in our cohort (89%) had resolution of symptoms (mean treatment length of 5.26 days). DRESS syndrome’s relapse after treatment with cyclosporine occurred in 3 of 19 (16%) occurrences of the cohort.

Conclusions

Our study supports the use of cyclosporine in the treatment of DRESS syndrome, particularly in patients who are unable to sustain prolonged immunosuppression. Further research is necessary to compare the efficacy of cyclosporine to the current standard of care in a larger study population and investigate long-term outcomes.
The TeleTriageTeam, Offering Continuity of Personalized Care Through Telemedicine: Development and Evaluation
Authors: Claessens Janneau , Mueller-Schotte Sigrid , van Weerden Jeannette , Kort Helianthe , Imhof Saskia , Wisse Robert
Published: June 2023

Background

The COVID-19 pandemic taught us how to rethink care delivery. It catalyzed creative solutions to amplify the potential of personnel and facilities. This paper presents and evaluates a promptly introduced triaging solution that evolved into a tool to tackle the ever-growing waiting lists at an academic ophthalmology department, the TeleTriageTeam (TTT). A team of undergraduate optometry students, tutor optometrists, and ophthalmologists collaborate to maintain continuity of eye care. In this ongoing project, we combine innovative interprofessional task allocation, teaching, and remote care delivery.

Objective

In this paper, we described a novel approach, the TTT; reported its clinical effectiveness and impact on waiting lists; and discussed its transformation to a sustainable method for delivering remote eye care.

Methods

Real-world clinical data of all patients assessed by the TTT between April 16, 2020, and December 31, 2021, are covered in this paper. Business data on waiting lists and patient portal access were collected from the capacity management team and IT department of our hospital. Interim analyses were performed at different time points during the project, and this study presents a synthesis of these analyses.

Results

A total of 3658 cases were assessed by the TTT. For approximately half (1789/3658, 48.91%) of the assessed cases, an alternative to a conventional face-to-face consultation was found. The waiting lists that had built up during the first months of the pandemic diminished and have been stable since the end of 2020, even during periods of imposed lockdown restrictions and reduced capacity. Patient portal access decreased with age, and patients who were invited to perform a remote, web-based eye test at home were on average younger than patients who were not invited.

Conclusions

Our promptly introduced approach to remotely review cases and prioritize urgency has been successful in maintaining continuity of care and education throughout the pandemic and has evolved into a telemedicine service that is of great interest for future purposes, especially in the routine follow-up of patients with chronic diseases. TTT appears to be a potentially preferred practice in other clinics and medical specialties. The paradox is that judicious clinical decision-making based on remotely collected data is possible, only if we as caregivers are willing to change our routines and cognitions regarding face-to-face care delivery.
Improving an Electronic Health Record–Based Clinical Prediction Model Under Label Deficiency: Network-Based Generative Adversarial Semisupervised Approach
Authors: Li Runze , Tian Yu , Shen Zhuyi , Li Jin , Li Jun , Ding Kefeng , Li Jingsong
Published: June 2023

Background

Observational biomedical studies facilitate a new strategy for large-scale electronic health record (EHR) utilization to support precision medicine. However, data label inaccessibility is an increasingly important issue in clinical prediction, despite the use of synthetic and semisupervised learning from data. Little research has aimed to uncover the underlying graphical structure of EHRs.

Objective

A network-based generative adversarial semisupervised method is proposed. The objective is to train clinical prediction models on label-deficient EHRs to achieve comparable learning performance to supervised methods.

Methods

Three public data sets and one colorectal cancer data set gathered from the Second Affiliated Hospital of Zhejiang University were selected as benchmarks. The proposed models were trained on 5% to 25% labeled data and evaluated on classification metrics against conventional semisupervised and supervised methods. The data quality, model security, and memory scalability were also evaluated.

Results

The proposed method for semisupervised classification outperforms related semisupervised methods under the same setup, with the average area under the receiver operating characteristics curve (AUC) reaching 0.945, 0.673, 0.611, and 0.588 for the four data sets, respectively, followed by graph-based semisupervised learning (0.450, 0.454, 0.425, and 0.5676, respectively) and label propagation (0.475,0.344, 0.440, and 0.477, respectively). The average classification AUCs with 10% labeled data were 0.929, 0.719, 0.652, and 0.650, respectively, comparable to that of the supervised learning methods logistic regression (0.601, 0.670, 0.731, and 0.710, respectively), support vector machines (0.733, 0.720, 0.720, and 0.721, respectively), and random forests (0.982, 0.750, 0.758, and 0.740, respectively). The concerns regarding the secondary use of data and data security are alleviated by realistic data synthesis and robust privacy preservation.

Conclusions

Training clinical prediction models on label-deficient EHRs is indispensable in data-driven research. The proposed method has great potential to exploit the intrinsic structure of EHRs and achieve comparable learning performance to supervised methods.
Role of Individual Clinician Authority in the Implementation of Informatics Tools for Population-Based Medication Management: Qualitative Semistructured Interview Study (Preprint)
Authors: Ranusch Allison , Lin Ying-Jen , Dorsch Michael P , Allen Arthur L , Spoutz Patrick , Seagull F Jacob , Sussman Jeremy B , Barnes Geoffrey D
Published: June 2023

BACKGROUND

Direct oral anticoagulant (DOAC) medications are frequently associated with inappropriate prescribing and adverse events. To improve the safe use of DOACs, health systems are implementing population health tools within their electronic health record (EHR). While EHR informatics tools can help increase awareness of inappropriate prescribing of medications, a lack of empowerment (or insufficient empowerment) of nonphysicians to implement change is a key barrier.

OBJECTIVE

This study examined how the individual authority of clinical pharmacists and anticoagulation nurses is impacted by and changes the implementation success of an EHR DOAC Dashboard for safe DOAC medication prescribing.

METHODS

We conducted semistructured interviews with pharmacists and nurses following the implementation of the EHR DOAC Dashboard at 3 clinical sites. Interview transcripts were coded according to the key determinants of implementation success. The intersections between individual clinician authority and other determinants were examined to identify themes.

RESULTS

A high level of individual clinician authority was associated with high levels of key facilitators for effective use of the DOAC Dashboard (communication, staffing and work schedule, job satisfaction, and EHR integration). Conversely, a lack of individual authority was often associated with key barriers to effective DOAC Dashboard use. Positive individual authority was sometimes present with a negative example of another determinant, but no evidence was found of individual authority co-occurring with a positive instance of another determinant.

CONCLUSIONS

Increased individual clinician authority is a necessary antecedent to the effective implementation of an EHR DOAC Population Management Dashboard and positively affects other aspects of implementation.

INTERNATIONAL REGISTERED REPORT

RR2-10.1186/s13012-020-01044-5