bluuebunny/crossref_metadata_2025_split huggingface dataset:
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.
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.
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.
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.
Factors Affecting Academic Stress among Santri at the Ruhul Islam Anak Bangsa (RIAB) Islamic boarding school in Aceh Besar
Authors: Rauzana Hasni , Rauzatul Jannah Syarifah , Wardani Elly 
Published: June 2023

Introduction: Academic stress is an individual condition that arises because of the many pressures or academic demands that exceed their capacity to feel burdensome. Objectives: This study aimed to determine the factors that influence the level of academic stress among Santri at the Ruhul Islam Anak Bangsa (RIAB) Islamic boarding school in Aceh Besar. Methods This study used an analytic survey with a cross-sectional approach. This study's population were students of Madrasah Aliyah who were in class II at the Ruhul Islam Anak Bangsa Islamic boarding school, 246 students. The sampling technique used a total sampling technique. Analyze data using statistical tests: Chi-square test and multiple logistic regressions. Results: The results indicate that self-efficacy is associated with academic stress levels (p-value 0.040), hardiness is related to academic stress levels (p-value 0.039), achievement motivation has no relationship with academic stress levels (p-value 0.262), and optimism is related to academic stress levels (p-value 0.043). Conclusions: This study concluded that hardiness is the most dominant factor related to academic stress among Santri at the Ruhul Islam Anak Bangsa (RIAB) Islamic boarding school in Aceh Besar (OR: 0.778).
The Comparison of Anxiety Disorder Among Ex-Female Sex Workers and Non-Female Sex Workers in The Ex-localization Area
Authors: Angkawidjaja Merry Apriliani , Wardhana Ardyan Prima , Dahliana Anita 
Published: June 2023

Abstract—Indonesian localization of Female Sex Workers (FSW) was one of the largest in Southeast Asia, which has been taken by the government since 2014. The impact of mental health disorders has not yet been reported. This study aimed to compare the anxiety disorder among ex-FSW and non-FSW. This was a study to compare the prevalence of anxiety disorders among ex-FSW compared to non-FSW, located in ex-localization in Surabaya, Indonesia. Seventy-five participants met inclusion criteria and were gathered on December 10th, 2022 to complete Beck Anxiety Inventory (BAI) tests. The results showed that 16,67% of participants (n=12) were found with clinical anxiety scores. Among them, 41,67% ex-FSW (n=5) and 58,33% non-FSW (n=7). The prevalence of anxiety disorder, also the total BAI score, compared to the work history of FSWs and non-FSWs were found not associated (p>0.05). The anxiety disorder was found higher in the non-FSW group than ex-FSW group. But there was no difference found in the prevalence of anxiety and the BAI score between ex-FSW and non-FSW.
Keywords: anxiety disorder, female sex workers, mental disorders
Abstrak—Eks-lokalisasi Pekerja Seks Komersial (PSK) di Indonesia adalah salah satu yang terbesar di Asia Tenggara, yang ditutup pemerintah di tahun 2014. Dampaknya pada kesehatan mental belum pernah dilaporkan. Penelitian ini bertujuan untuk membandingkan gangguan cemas diantara mantan PSK dan non-PSK. Penelitian ini adalah studi untuk membandingkan prevalensi gangguan cemas diantara mantan PSK dan non-PSK sekitar eks-lokalisasi di Surabaya, Indonesia. Didapatkan 75 partisipan yang memenuhi kriteria inklusi, mereka dikumpulkan pada 10 Desember 2022 untuk mengisi tes Beck Anxiety Inventory (BAI). Hasil penelitian menunjukkan bahwa 16,67% partisipan (n=12) didapatkan hasil positif untuk skor kecemasan, di antaranya, 41,67% mantan PSK (n=5) dan 58,33% non-PSK (n=7). Prevalensi kecemasan serta total skor BAI tidak berhubungan dengan riwayat pekerjaan mantan PSK dan non-PSK. Gangguan kecemasan ditemukan lebih tinggi pada non-PSK dibandingkan mantan-PSK. Namun, tidak ditemukan perbedaan prevalensi kecemasan dan skor BAI diantara mantan PSK dan non-PSK.
Kata kunci: gangguan cemas, gangguan mental, wanita pekerja seks komersial