bluuebunny/crossref_metadata_2025 huggingface dataset:
Persepsi Mahasiswa Universitas Siliwangi tentang Pendidikan Bela Negara (PBN) yang Tepat Untuk Pendidikan Tinggi
Authors: - Yunita -
Published: August 2022

Tujuan dari penelitian ini adalah untuk mengetahui persepsi mahasiwa tentang Pendidikan Bela Negara (PBN) yang tepat sesuai dengan perkembangan kebutuhan mahasiswa di Universitas Siliwangi (UNSIL). Penelitian ini menggunakan dua pendekatan, kuantitatif dan kualitatif dengan pola “the dominant-less dominat design”. Bagian pertama menggunakan pendekatan kuantitatif, yakni melalui metode survey. Populasi dalam penelitian ini adalah seluruh mahasiswa peserta kegiatan Pendidikan Bela Negara UNSIL Tahun 2020 yaitu 2846 mahasiswa dan survey dilakukan kepada sampel yaitu 200 mahasiswa dari berbagai jurusan. Sementara, untuk pendekatan kualitatif, dilakukan dengan melakukan wawancara terhadap 15 mahasiswa peserta PBN dari berbagai jurusan. Hasil penelitian ini menunjukkan bahwa Persepsi tentang desain bela negara yang dibutuhkan, sebagian besar mahasiswa (38%) memilih Super Camp sebagai bentuk kegiatan yang di butuhkan, dengan alasan lebih menyenangkan, lebih dekat dengan alam, terkesan serius tapi santai. Sebagian besar lainnya (36%) memilih model Wajib Militer sebagai bentuk pendidikan bela negara yang dibutuhkan. Sebagian mahasiswa (20%) memilih berbentuk penyampaian materi, yang menarik. Mahasiswa lainnya (6%) memeberikan option (d) yaitu lainnya, dengan mencantumkan: 1) pengenalan wilayah Indonesia, batas negara, bentuk ancaman yang harus ditaklukan, dll. 2) Camping & Survival, 3) pendidikan karakter, 4) materi & prakteknya, 5) kegiatan yang membentuk mental.
Dimensions of Transformational Leadership Headmaster
Authors: Effendi Mukhlison , Maunah Binti
Published: August 2022

Leadership has a decisive position in the organization. Leaders who carry out their leadership effectively can lead others to achieve the goals; on the contrary, leaders as figures have no influence. Their leadership promotes weak organizational performance, which turns it into a downturn. This study aims to examine the dimensions of the principal's transformational leadership and its urgency for reform. By employing the literature study method, this study depicted that to run the principal's transformational leadership smoothly; they must apply all dimensions of idealized influence, inspirational motivation, intellectual stimulation, and individual consideration. Suppose the principal can apply the 4I dimensions of transformational leadership. In that case, as a leader of educational institutions, the principal succeeds in bringing changes to educational organizations for the better. Kepemimpinan memiliki kedudukan yang menentukan dalam organisasi. Pemimpin yang melaksanakan kepemimpinannya secara efektif dapat menggerakkan orang/personel ke arah tujuan yang dicita-citakan, sebaliknya pemimpin yang keberadaannya hanya sebagai figur, tidak memiliki pengaruh, kepemimpinannya dapat mengakibatkan lemahnya kinerja organisasi, yang pada akhirnya dapat menciptakan keterpurukan. Penelitian ini bertujuan untuk menelaah dimensi kepemimpinan transformasional kepala sekolah dan urgensinya terhadap pembaharuan. Dengan metode studi pustaka dapat dipaparkan bahwa agar kepemimpinan kepala sekolah dapat berjalan lancar, kepala sekolah harus mampu menerapkan seluruh dimensi idealiced influence, inspirational motivation, intellectual stimulation dan individual consideration. Apabila kepala sekolah mampu menerapkan dimensi 4I kepemimpinan transformasional tersebut, maka kepala sekolah sebagai pemimpin lembaga pendidikan akan berhasil membawa perubahan pada organisasi pendidikan ke arah lebih baik.
The Concept of Suhrawardi’s Hudhuri Epistemology and Its Relevance to the Contemporary Challenges
Authors: Ihsan Nur Hadi , Perdana Martin Putra , Sutoyo Yongki
Published: August 2022

Suhrawardi was a philosopher and a Sufi who robustly influenced the development of the sciences. With his philosophy of illumination (Hikmah al-Ishraq), he proposed the concept of hudhuri epistemology by which he fought against the domination of rationalistic and skeptical peripatetic epistemology that ultimately negated all forms of metaphysics. This paper aims to reveal the concept of Suhrawardi's epistemology, his anxiety and criticism of the validity problem of peripatetic philosophy, and the role of hudhuri's epistemology in responding to contemporary scientific challenges. This work is library research using documentary techniques to collect the necessary data. The collected data were analyzed utilizing the descriptive-analytical method. This study finds that the concept of hudhuri epistemology proposed by Suhrawardi presents the view that metaphysics is a dimension that cannot be separated from epistemology and can be rationalized. Furthermore, the metaphysical concept of faith, according to Suhrawardi, can be used as a solid philosophical foundation. Thus, with this hudhuri epistemology, the human senses and logical thinking limits can be transcended. Even with it, humans can acquire not only 'experience' or 'concepts' about reality, but they can also discover the nature of reality.
Strategy Analysis of ZIS Fund Collection During the Covid-19 Pandemic at Baznas DKI Jakarta Province
Authors: Dafiq Muhammad Ilman , Rohim Ade Nur , Priyatno Prima Dwi
Published: August 2022

During the Covid-19 pandemic, Muslims in Indonesia have high awareness to help each other on religious social matters, such as Zakat, Infaq, and Shadaqah (ZIS). Covid-19 pandemic requires ZIS gathering institutions in Indonesia such as Baznas to innovate in conducting service activities to the community, especially ZIS gathering. This needs to be done to facilitate community and reduce the risk of spreading the virus through crowding activities. Suitable strategy is required in order for ZIS can collection services to continue to run even with limited conditions. The purpose of this study is to analyze the strategy carried out by Baznas DKI Jakarta Province in collecting ZIS during Covid-19 Pandemic and analyze the supporting factors and inhibitory factors of the implementation of the strategy carried out by the Baznas DKI Jakarta Province. The method used in this study is descriptive qualitative using SWOT analysis. The study used primary data through interviews. As well as secondary data through observation and documentation of previous research, company profile, and books. The results of the study showed Baznas DKI Jakarta Province has supporting factors and inhibitory factors, among others related to the digitization of ZIS, government policies, and awareness of carrying out ZIS payments.
Students’ Satisfaction Level of English Online Learning at SMPN 1 Ampek Angkek
Authors: Oktaviani Resi
Published: August 2022

This research was conducted because the researcher found several problems, namely: Some students difficult to understand the material, Limited internet network access, and Most students are looked less enthusiastic about learning online. This study aims to see the students' satisfaction level of English online learning.This type of research is survey research. The population and sample of this study were class VIII SMP N 1 ampek angkek. Where this research uses the incidental technique. The data collection technique is through a questionnaire or questionnaire as an instrument. The data analysis technique is collecting data, tabulate the data, calculate the data to average, and interpret the data. Based on the results of research and data analysis, the research found that students satisfaction in implementing online learning on the learning technologies item, the results showed that the students were quite satisfied with the learning carried out, namely the data obtained (64,92%). Students' satisfaction in the item pedagogical models shows that students were quite satisfied with the data obtained (71,51%). And students' satisfaction in online learning with the instructional strategy item shows the results that students are quite satisfied with the data obtained (64,08%). Based on the results of this study it can be concluded that the students in class eight at SMP N 1 Ampek Angkek are quite satisfied with English online learning that has been done by obtaining 66,83% data which means quite satisfied.
Shifting from Theory to Practice: EFL Student Teachers’ Readiness in Online Practicum
Authors: Syarifah Hikmatus , Fadhilah Ma'rifatul
Published: August 2022

A practicum is a study program designed to prepare pre-service teachers where they apply the theory they have learned previously. This practicum also intends to give pre-service teachers a chance to practice their teaching skills. Pre-service teachers are affected significantly by the shift from offline to online learning. The goal of this research was to discover the reflective practices of EFL pre-service teachers’ readiness in an online practicum, particularly their readiness to use technology in their learning. This research is qualitative research with a case study approach. The setting of this research is an online practicum at the Department of English Education, Walisongo State Islamic University Semarang. The participants in this research were pre-service teachers who took part in an online practicum. Seven pre-service teachers who teach English participated in this research. The data collected through reflective practice guided by the Gibbs reflective cycle was then analyzed using thematic analysis. The results of this research revealed that the participants had no problem with technology because they were used to using technology in their daily life and also in their learning life as well as pedagogical and professional aspects.
Peran Akuntan Syariah dalam Menghadapi Society 5.0 Pada Era VUCA
Authors: Fitriani Ajeng Pipit
Published: August 2022

The sharia accountant profession faced many challenges in the VUCA era, which was an era full of uncertainty the loss of existing barriers in the business world. It is an obligation for sharia accountants to be able to answer all existing challenges so that they can continue to hold the accountant profession professionally and not abandon sharia principles. This research uses a qualitative approach with literature review analysis taken from various existing sources and relevant to the research discussion. From the results of the analysis carried out, it was found that to face society 5.0 in the VUCA era, there are several strategies that must be carried out by Sharia accountants. The first is to stick to sharia principles, develop digital skills, and be sensitive to technological developments. Based on this discussion, it can be concluded that Sharia accountants have a very large role in facing society 5.0 in the VUCA era which is strategic and consultative.Profesi akuntan syariah menghadapi banyak sekali tantangan pada era VUCA, yang merupakan sebuah era yang penuh dengan ketidakpastian dan hilangnya sekat-sekat yang ada dalam dunia usaha. Menjadi sebuah kewajiban bagi akuntan syariah untuk dapat menjawab seluruh tantangan yang ada hingga dapat terus memegang profesi akuntan dengan profesional dan tidak meninggalkan prinsip syariah. Penelitian ini menggunakan pendekatan kualitatif dengan analisis literature review yang diambil dari berbagai sumber yang ada dan relevan dengan pembahasan penelitian. Dari hasil analisis yang dilakukan ditemukan hasil bahwa untuk menghadapi society 5.0 pada era vuca, ada beberapa strategi yang harus dilakukan oleh akuntan syariah. Pertama yaitu berpegang teguh pada prinsip-prinsip syariah, melakukan pengembangan dalam kecakapan digital, serta peka terhadap perkembangan teknologi. Berdasarkan pembahasan tersebut dapat disimpulkan bahwa akuntan syariah memiliki peran yang sangat besar dalam menghadapi society 5.0 pada era VUCA yang bersifat strategis maupun konsultatif.
CORRELATION OF HUMAN MOVEMENT SYSTEM MATERIAL IN SALAT MOVEMENT: STUDY OF INTEGRATION OF SCIENCE AND RELIGION
Authors: Nasrudin Muhammad
Published: August 2022

Learning science of the human movement system material level that must be achieved by students is knowledge, understanding, and application. Based on interviews conducted, to reach that level at Madrasah Tsanawiyah Negeri Lumajang using an integration method between the material of the human movement system and salat movements, even though it is only macro. The focus of the problem is: 1) the relationship between the material system of motion in humans and the movement of salat. 2) the impact of the material relationship of the motion system on the human movement of salat. The type of research used is descriptive qualitative with data analysis techniques using the Miles and Huberman method. The results of the study show that there is a relationship between the material of the motion system in humans and the movement of salat. Among them when takbiratul ihram is related to the upper arm movement system. Meanwhile, the impact of the material relationship between the human movement system and salat movements: 1) keep the muscles from being stiff, prevent bone disease and maximize the work of existing joints. 2) bring up religious character for students at MTsN 1 Lumajang.
DEVELOPMENT OF ETHNOSCIENCE-BASED DIGITAL TEACHING MATERIALS IN AUTHENTIC JEMBER PATROL MUSIC IN SOUND SUB MATERIALS FOR STUDENTS IN JUNIOR HIGH SCHOOL
Authors: Hasanah Rafiatul , Kusumawati Winda Dwi
Published: August 2022

Culture is the wealth of the Indonesian nation while education is an intermediary for forming the character of the nation's successor. Learning in schools is an interaction that helps students understand learning materials, especially conceptual and factual learning. One of them is in learning Natural Sciences (IPA), in the field of Physics. Noise material is a conceptual material with a discussion of sound waves produced by vibrating objects (sound sources). Based on the needs analysis obtained, the development of appropriate teaching materials to explain the material is a digital book. The purpose of this study is to describe the level of validation of teaching materials and describe student responses to ethnoscience-based digital teaching materials in Authentic Jember Patrol music on sound sub-materials in class VIII SMP/MTs students. The type of research used is the development of a 4-D model. The subject of validity in this study involved material experts and media experts and science teachers, with the results of material validation being 91.03%, media experts 89, 41%, and user experts (teachers) 88, 23% very valid categories. While the student response test in this study was divided into 2, namely, small-scale test and large-scale test with an average percentage result of 80.76% with a valid category, and large-scale trials obtained an average percentage of 87.28% with a category very, without any revisions to the developed teaching material products.
Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling
Authors: Sriniva Karthik , Currim Faiz , Lindberg Casey , Razjouyan Javad , Gilligan Brian , Lee Hyoki , Canada Kelli , Goebel Nicole , Mehl Matthias , Lunden Melissa , Heerwagen Judith , Najafi Bijan , Sternberg Esther , Kampschroer Kevin , Ram Sudha
Published: August 2022

We conducted a field study using multiple wearable devices on 231 federal office workers to assess the impact of the indoor environment on individual wellbeing. Past research has established that the workplace environment is closely tied to an individual’s wellbeing. Since sound is the most-reported environmental factor causing stress and discomfort, we focus on quantifying its association with physiological wellbeing. Physiological wellbeing is represented as a latent variable in an empirical Bayes model with heart rate variability measures – SDNN and normalized-HF as the observed outcomes and with exogenous factors including sound level as inputs. We find that an individual’s physiological wellbeing is optimal when sound level in the workplace is at 50 dBA. At lower (<50dBA) and higher (>50dBA) amplitude ranges, a 10 dBA increase in sound level is related to a 5.4% increase and 1.9% decrease in physiological wellbeing respectively. Age, body-mass-index, high blood pressure, anxiety, and computer use intensive work are person-level factors contributing to heterogeneity in the sound-wellbeing association.
Are rehabilitation interventions effective for kinesiophobia and pain in osteoarthritis? A systematic review and meta-analysis of randomized controlled trials
Authors: Chen Yongkang , Zheng Jiaqi , Hou Meijin , Chai Yatai , Lin Ziling , Liu Benke , Liu Lu , Fu Shengxing , Wang Xiangbin
Published: August 2022

Background Kinesiophobia is an excessive and misunderstood feeling in the osteoarthritis (OA) population, processing acute to subacute diseases and delaying functional recovery. The purpose of this study was to synthesize evidence from randomized controlled trials (RCTs) to evaluate the effectiveness of rehabilitation interventions to reduce kinesiophobia and pain intensity in individuals with OA. Methods A systematic search in 5 electronic databases (PubMed, Web of Science, Cochrane Library, Embase, and CNKI) was performed to identify RCTs comparing rehabilitation interventions with control interventions in OA. It was reported that changes in kinesiophobia and pain intensity were assessed as standardized mean difference (SMD) if outcomes were on the distinct scales with 95% confidence intervals (95% CI). If heterogeneity (I2 > 50%) of the pooled effect is detected, subgroup analysis and sensitivity analysis would be necessary to evaluate the source of heterogeneity and eliminate it. Two independent reviewers assessed methodological quality using the Cochrane Collaboration Risk of Bias Tool. The GRADEpro GDT was used to illustrate the quality of evidence. Results Twelve trials with 830 participants met eligibility criteria and were included in this review. The results demonstrate statistical significant difference favored kinesiophobia concerning the rehabilitation interventions [SMD difference: -0.55 (95% CI, -0.86 to -0.24)], physiotherapy [SMD difference: -0.36 (95% CI, -0.65 to -0.08)], psychotherapy [SMD difference: -1.42 (95% CI, -2.05 to -0.79)]. Also display difference for pain intensity was observed in rehabilitation interventions [SMD difference: -0.22 (95% CI, -0.37 to -0.07)], physiotherapy [SMD difference: -0.29 (95% CI: -0.45 to -0.13)], psychotherapy [SMD difference: -2.45 (95% CI, -3.61 to -1.30)]. Five studies reported adverse effects (n = 57), and only one participant suffered a severe adverse event. Conclusion Concerning OA, rehabilitation interventions were statistically effective for reducing kinesiophobia and pain intensity compared to control interventions. Overall, the degree of evidence was low to moderate.
Antiarrhythmic properties of Botulinum toxin A: in vitro studies on human and rat cardiomyocytes
Authors: Nizamieva Aygul , Frolova Sheida , Slotvitsky Mihail , Kovalenko Sandaara , Tsvelaya Valeria , Nikitina Anna , Sergeevichev David , Agladze Konstantin
Published: August 2022

Botulinum toxin A is a well-known neurotransmitter inhibitor with a wide range of applications in modern medicine. In recent years, botulinum toxin preparations have begun to be used in clinical trials to suppress cardiac arrhythmias, especially in the postoperative period. Its antiarrhythmic action is associated with inhibition of the nervous system of the heart, but the question of a direct effect on heart tissue remains unclear. In our work, we investigate the effect of botulinum toxin on isolated cardiac cells and on layers of cardiac cells capable of conducting excitation. As an object of research, cardiomyocytes of neonatal rat pups and human cardiomyocytes obtained through cell reprogramming were used. A patch-clamp study showed that the botulinum toxin inhibited fast sodium currents and L-type calcium currents in a dose-dependent manner, with no apparent effect on potassium currents. It was shown by optical mapping that in the presence of the botulinum toxin, the propagation of the excitation wave in the layer of cardiac cells slows down sharply, conduction at high concentrations becomes chaotic, but reentry waves do not form. It was found that the combination of the botulinum toxin with a preparation of chitosan has a stronger inhibitory effect by an order of magnitude. It was demonstrated that the inhibitory effect of the botulinum toxin is not permanent and disappears after 12 days of cell culture in a botulinum toxin-free medium.
Refining prey selection for cheetahs and lions: The influence of prey demography and season
Authors: Annear Eleesha , Minnie Liaan , Andrew Kaeleah , Kerley Graham
Published: August 2022

Traditional prey preference models use a coarse species-specific prey body mass of three-quarters of adult female body mass, assumed to reflect the average mass across the prey population. This ignores demographic-specific prey preferences, potentially biasing estimates of preferred prey sizes. We refined prey selection models for two model predators with contrasting hunting strategies, by including seasonal consumption and availability of prey demographic classes. We predicted that cheetahs would select for smaller neonate and juvenile prey, while lions would select for larger, adult prey. We further predicted seasonal diet shifts in cheetah, but not lion. We recorded species and demographic class prey use via direct observation and GPS cluster of cheetahs and lions fitted with GPS collars. Species and demographic class prey availability was estimated from monthly driven transects. Seasonal availability of prey demographic classes resulted in predicted, contrasting prey preferences for cheetah and lion. Cheetahs preferred neonates, juveniles, and sub-adults during the wet season, but adults and juveniles during the dry season. Lions preferred adult prey irrespective of season, with sub-adults, juveniles, and neonates killed relative to their abundance. Thus traditional, prey preference models do not adequately account for demographic-specific prey preference. This masks the prey use and potential preferences for different demographic classes. This is particularly important for smaller predators, like cheetahs, whose prey selection focusses on smaller prey, particularly juveniles of larger species. For these smaller predators, prey availability will vary strongly seasonally, making them more vulnerable to processes that influence prey reproduction, like global change.
Assessing the impact of one million COVID-19 Deaths in America – Economic and Life Expectancy Losses
Authors: Silva Sachin , Goosby Eric , Reid Michael
Published: August 2022

Between February 2020 and May 2022, one million Americans have died of COVID-19. To determine the contribution of those deaths to all-cause mortality in terms of life expectancy reductions and the resulting economic welfare losses, we calculated their combined impact on national income growth and the added value of lives lost. We estimated that US life expectancy at birth dropped by 3.08 years due to the million COVID-19 deaths. Economic welfare losses estimated in terms of national income growth supplemented by the value of lives lost, was in the order of US$3.57 trillion. US$2.20 trillion of these losses were in in the non-Hispanic White population (56.50%), US$698.24 billion (19.54%) in the Hispanic population, and US$579.93 billion (16.23%) in the non-Hispanic Black population. The scale of life expectancy and welfare losses underscores the pressing need to invest in health in the US to prevent further economic shocks from future pandemic threats.
The association of maternal fat-soluble antioxidants in early pregnancy with gestational diabetes mellitus: a prospective cohort study
Authors: Lyu Yanyu , Wang Guiyun , Sun Zhenfeng , Cui Xiaodai , Xiu Qingyong , Wu Lijun
Published: August 2022

INTRODUCTION:
To investigate the associations of vitamins A and E in early pregnancy with the risk of gestational diabetes mellitus (GDM) and to explore whether these antioxidant vitamins can be biomarkers for the early prediction of GDM.
METHODS
We carried out a prospective cohort study conducted in Beijing and enrolled pregnant women with vitamins A and E measurements at 9 weeks (IQR 8–10) of gestation and having one-step GDM screened with a 75-g oral glucose tolerance test between 24 and 28 weeks of gestation.
RESULTS
The vitamin A levels in early pregnancy were significantly higher in women with GDM than in those without GDM (P < 0.0001) and positively correlated with fasting blood glucose. In multivariate models, vitamin A levels were significantly associated with GDM (OR, 1.46; 95% CI: 1.14–1.88; P = 0.0032) per SD. A significant trend of risk effect on GDM risk across quartiles of vitamin A was observed (Ptrend = 0.016). No significant association of serum vitamin E with GDM was observed overall. However, a noted trend of protective effect on GDM risk across quartiles of vitamin E/cholesterol ratio was observed (Ptrend = 0.043). In ROC analysis, the multivariate model consisting of vitamin A and other risk factors showed the best predictive performance (AUC: 0.760; 95% CI: 0.705–0.815; P < 0.001).
CONCLUSIONS
Higher levels of vitamin A in early pregnancy were significantly associated with an increased risk of GDM. Vitamin A has the potential to be a biomarker indicating pathogenesis of GDM.
Evaluation of a deep learning-based automated algorithm for labeling coronary arteries in computed tomography angiography images
Authors: Ren Pengling , He Yi , Luo Nan , Li Fang , Wang Zhenchang , Yang Zhenghan , Guo Ning
Published: August 2022

Objective
To evaluate the performance of a fully automatic algorithm for labeling coronary arteries in CCTA images using deep learning based on the two 3-dimensional (3D) U-Net architectures for myocardium structure extraction.
Methods
In total, 157 patients who underwent CCTA scanning were retrospectively included. An automatic coronary artery labeling algorithm based on the distance transformation algorithm was proposed to identify the anatomical segments of the centerlines extracted from CCTA images. Sixteen segments were identified and labeled. The results obtained via the algorithm were recorded and reviewed by three experts. The performance of segment detection and labeling of each segment was evaluated, and the proportion of agreement between the two experts on the manually labeled segments was also calculated.
Results
Compared with the labels of the experts, 117 labels (5.4%) (2180 segments) from the algorithm needed to be changed or removed. The overall accuracy of label presence was 96.2%. The average overlap between the expert reference and algorithm labels was 94.0%. The average agreement between the two experts was 95.0%.
Conclusions
The proposed deep learning algorithm provided a high accuracy of the automatic labeling with respect to the labels from the clinical experts. This method is promising for labeling coronary arteries automatically and alleviating the workload of radiologists in the near future.
Machine learning applied to MRI evaluation for the detection of lymph node metastasis in patients with locally advanced cervical cancer treated with neoadjuvant chemotherapy
Authors: Arezzo Francesca , Cormio Gennaro , Mongelli Michele , Cazzato Gerardo , Silvestris Erica , Kardashi Anila , Cazzolla Ambrogio , Lombardi Claudio , Venerito Vincenzo , Loizzi Vera
Published: August 2022

Purpose: Concurrent cisplatin-based chemotherapy and radiotherapy (CCRT) plus brachytherapy is the standard treatment for locally advanced cervical cancer (LACC). Platinum-based neoadjuvant chemotherapy (NACT) followed by radical hysterectomy is an alternative for patients with stage IB2-IIB disease. Therefore the correct pre-treatment staging is essential to the proper management of this disease. Pelvic magnetic resonance imaging (MRI) is the gold standard examination but studies about MRI accuracy in the detection of lymph node metastasis (LNM) in LACC patients show conflicting data. Machine learning (ML) is emerging as a promising tool for unraveling complex non-linear relationships between patient attributes that cannot be solved by traditional statistical methods. Here we investigated whether ML might improve the accuracy of MRI in the detection of LNM in LACC patients.Methods: We analyzed retrospectively LACC patients who underwent NACT and radical hysterectomy from 2015 to 2020. Demographic, clinical and MRI characteristics before and after NACT were collected, as well as information about post-surgery histopathology. Random features elimination wrapper was used to determine an attribute core set. A ML algorithm, namely Extreme Gradient Boosting (XGBoost) was trained and validated with 10-fold cross-validation. The performances of the algorithm were assessed.Results: Our analysis included n.92 patients. FIGO stage was IB2 in n.4/92 (4.3%), IB3 in n.42/92 (45%), IIA1 in n.1/92 (1.1%), IIA2 in n.16/92 (17.4%) and IIB in n.29/92 (31.5%). Despite detected neither at pre-treatment and post-treatment MRI in any patients, LNM occurred in n.16/92 (17%) patients. The attribute core set used to train ML algorithms included grading, histotypes, age, parity, largest diameter of lesion at either pre and post-treatment MRI, presence/absence of fornix infiltration at pre-treatment MRI and FIGO stage. XGBoost showed a good performance (accuracy 89%, precision 83%, recall 78%, AUROC 0.79).Conclusions: We developed an accurate model to predict LNM in LACC patients in NACT, based on a ML algorithm requiring few easy-to-collect attributes.
A multi-source behavioral and physiological recording system for cognitive assessment
Authors: Wang Zi-yang , Liu Li , Liu Yu
Published: August 2022

Cognitive assessment has a broad application prospect, including estimate of childhood neuro development and maturation, diagnosis of neurodegenerative diseases, and selection for special profession. With the development of computer technique and behavioral recording sensors, the method of cognitive assessment has been replaced from paper scale test to human-computer interaction. We can not only obtain the results of tasks, but also make it possible to acquire multiple behavioral and physiological data during the task. However, there is still a strong challenge of recording multi-source data synchronously during multi-dimensional cognitive assessments. Therefore, we built a multi-source cognitive assessment system can record multi-pattern behavioral and physiological data and feedback at different spatiotemporal levels. Under this system, we developed a multi-source diagnostic toolset for cognitive assessment, including eye tracking, hand movement, EEG and human-computer interaction data during the cognitive task. 238 participants with different mental disorders were assessed using this system. The results showed that our diagnostic toolset can be used to study the behavioral abnormalities of patients with mental disorders through the characteristics of multi-source data. Furthermore, this system can provide some objective diagnostic criteria such as behavioral characters and EEG features for diagnosis of mental disorders.
Physical Activity Virtual Intervention for Improving Mental Health among University Students During COVID-19 Pandemic: A Co-Creation Process and Evaluation Using the Behavior Change Wheel
Authors: Sofro Zaenal Muttaqien , Wibowo Rakhmat Ari , Wasityastuti Widya , Agustiningsih Denny , Utomo Prattama Santoso , Kusumadewi Andrian Fajar , Ekawati Fitriana Murriya , Putri Rayhani Erika , Aldrin Enrique , Fatmawati Jihan Santika , Chang Trisha Cheeren , Pratista Muhammad Ivan
Published: August 2022

Background: During the COVID-19 pandemic, there were reductions in university students' physical activity, which further increased their mental distress, calling for technology-based physical activity interventions to address the challenges in delivering in-person interventions. This study aimed to develop a technology-based physical activity intervention and pilot test it.Methods: We developed a virtually-delivered team-based physical activity challenge using the Behavior Change Wheel and Co-creation Framework based on Self-determination Theory. A pilot study was conducted in the evaluation phase to measure the recruitment rate, dropout rate, change in physical activity and mental distress, while identifying problems and collecting participants' opinions regarding the challenge. Wilcoxon signed-rank tests were conducted to assess the change in physical activity and mental distress. Qualitative data were analyzed using thematic analysis.Results: A three-week physical activity challenge comprising five identified intervention functions was held with 480 participants. The recruitment rate was 84.8% resulting from 407 virtual challenge participants who were conveniently joined as research participants. The dropout rate for the pilot study was 10.96% resulting from the incompatibility problems with the application. Among sample participants who lacked physical activity, participation in this challenge improved their physical activity by 52.5 minutes of moderate-intensity physical activity per week and reduced their mental distress by 3 points of self-reporting questionnaire-20 score. Issues regarding the virtual application, the influence of participation in the challenge on basic psychological needs, and lack of time were identified as the main barriers to physical activity from participants' opinions.Conclusion: A co-created physical activity intervention developed using the Behavioral Change Wheel Framework inspired high interest from university students and may increase their physical activity and improve their mental health. Several suggestions were discussed to address the identified problems and improve the internal and external validity of the evaluation phase.Trial registration: TCTR20220720004 (retrospectively registered on 19/07/2022)
N6-methyladenosine-mediated SH3BP5-AS1 upregulation promotes GEM chemoresistance in pancreatic cancer by activating the Wnt signaling pathway
Authors: Lin Chengjie , Wang Yan , Dong Yihong , Lai Shihui , Wang Liang , Weng Shangeng , Zhang Xiang
Published: August 2022

Background:Pancreatic cancer (PC) is highly malignant. Chemotherapy is the main treatment strategy, especially for patients with advanced PC. However, chemoresistance has always been a frequently encountered bottleneck. Hence, there is an urgent need to enhance the sensitivity of PC to gemcitabine (GEM).Results:We demonstrated that SH3BP5-AS1 was significantly upregulated in GEM-resistant PC and predicted a poorer prognosis. SH3BP5-AS1 stability was regulated by ALKBH5/IGF2BP1-mediated m6A modification. Loss of SH3BP5-AS1 reduced PC cell migration and invasion and enhanced the sensitivity of PC to GEM, as confirmed by gain- and loss-of-function assays in vitro and in vivo. Bioinformatics analysis revealed that SH3BP5-AS1 acted as a ceRNA against miR-139-5p and directly targeted CTBP1, affecting the biological behavior of PC cells. The mechanistic studies revealed that the upregulation of SH3BP5-AS1 increased CTBP1 expression by directly activating the Wnt signaling pathway, promoting GEM resistance.Conclusions:This study revealed that SH3BP5-AS1 activated Wnt signaling pathway by sponging miR-139-5p, upregulating CTBP1 expression, and contributing to the sensitivity of PC cells to GEM. SH3BP5-AS1 might be a potential target for PC therapy.
Qubit and Bit-Based Quantum Hybrid Secret Key Generation
Authors: Sihare Shyam
Published: August 2022

For the generation of a secret key, hardly a quantum algorithms integrating states and bits have yet developed. Integrating random states and bits is difficult for a combiner component. The underlying problems of the study are the design of a quantum circuit, an algorithm, state polarization setup, and the concatenation of bits and states. By combining either rectilinear, orthogonal (superposition), or both states with bits, we have investigated three different possibilities for the quantum hybrid protocol. We investigated errors in each case and compared them with regard to decoherence and other quantum mechanics properties by taking into consideration the effectiveness of states during transmission time across an untrusted channel. Furthermore, we observed that key size, state errors, design complexity, and security are all addressed in a reasonable manner for identifying solutions while comparing our results to earlier proposed quantum protocols. Because of this, the suggested key protocol's effectiveness is greater than that of earlier proposed protocols.
Epidemiology and outcomes of traumatic chest injuries in children: a nationwide study in the Netherlands
Authors: Sweet Arthur A.R. , de Bruin Ivar G.J. , Peek Jesse , IJpma Frank F.A. , Baal Mark C.P.M. van , Leenen Luke P.H. , Houwert Roderick M.
Published: August 2022

Purpose
Thoracic injuries are infrequent among children, but still represent one of the leading causes of pediatric mortality. Studies on pediatric chest trauma are dated and little is known of outcomes in different age categories. This study aims to provide an overview of the incidence, injury patterns, and in-hospital outcomes of children with chest injuries.
Methods
A nationwide retrospective cohort study was performed on children with chest injuries, using data from the Dutch Trauma Registry. All patients admitted to a Dutch hospital between January 2015 and December 2019, with an abbreviated injury scale score of the thorax between 2 and 6, or at least one rib fracture, were included. Incidence rates of chest injuries were calculated with demographic data from the Dutch Population Register. Injury patterns and in-hospital outcomes were assessed in children in four different age groups.
Results
A total of 66,751 children were admitted to a hospital in the Netherlands after a trauma between January 2015 and December 2019, of whom 733 (1.1%) sustained chest injuries accounting for an incidence rate of 4.9 per 100,000 person-years. The median age was 10.9 (interquartile range [IQR] 5.7–14.2) years and 62.6% were male. In a quarter of all children the mechanisms were not further specified or unknown. Most prevalent injuries were lung contusions (40.5%) and rib fractures (27.6%). The median hospital length of stay was 3 (IQR 2–8) days, with 43.4% being admitted to the intensive care unit. The 30-day mortality rate was 6.8%.
Conclusions
Pediatric chest trauma still results in substantial adverse outcomes, such as disability and mortality. Lung contusions may be inflicted without fracturing the ribs. This contrasting injury pattern compared to adults underlines the importance of evaluating children with chest injuries with additional caution.
Mortality risk model to predict bacterial infection in Pediatric Intensive Care Unit
Authors: Hou Ming-Hui , Li Ya-Ting , Dai Zhen-Yuan , Yang Ke-xin , Qu Jing-Xin , Liu Zi-Feng , Chen Zhuang-Gui
Published: August 2022

BackgroundBacterial infections have long been a significant cause of child mortality worldwide; however, models for predicting the risk of death in children with bacterial infections that combine predictive ability and interpretability are scarce. Here we try to explore a new method to complete the task. MethodsWe use Paediatric Intensive Care Database (PIC) to carry out the research. Data from hospitalized children with positive bacterial culture results was extracted and categorized into three groups: the positive culture group, the gram-positive group, and the gram-negative group, which were divided into 80% training and 20% test sets. Then we extracted the demographic information, vital signs, and laboratory data within 24 hours of admission of the datasets. We use the XGBoost algorithm to select the features and rank their importance，and the Logistic Regression (LR) algorithm for model development based on various numbers of feature. All the models were evaluated by Receiver Operating Characteristic curve (ROC), area under the ROC curve (ROC-AUC), Precision-Recall curve (PR), the area under the PR curve (PR-AUC), and compared with Paediatric Mortality Risk Score III (PRISM III), the paediatric logistic organ dysfunction score-2 (PELOD-2), and the paediatric multiple organ dysfunction scores (P-MODS).ResultIn total, 3695 children with bacterial infection were included, with an average age of 20.17 ± 36.74 months, average paediatric intensive care unit stay of 18.51 ± 28.84 days, and overall mortality rate of 8.39%. The following predictors appeared in the 64 most important predictors of the three datasets: average white blood cell count, maximum value of white blood cell technology, average value of anion gap, minimum value of anion gap, maximum value of type B natriuretic peptide, and maximum value of thrombocytocrit. Finally, we established a LR model for bacterial infected children with 4 features and a LR model for gram-negative bacterial infected children with 10 features, which achieve a 0.7244 and a 0.7848 ROC-AUC score respectively. The ROC-AUC scores of the two models were better than PRISM III、PELOD-2 and P-MODS. ConclusionThis study developed models to predict the risk of death in children with bacterial infections. The final models use fewer features and achieve better mortality prediction performance than traditional scoring models, and the models are easier for paediatricians to understand.
Salivary microbiome and metabolome analysis of severe early childhood caries
Authors: Li kai , Wang Jinmei , Du Ning , Sun Yanjie , Sun Qi , Yin Weiwei , Li Huiying , Meng Lingqiang , Liu Xuecong
Published: August 2022

BACKGROUND: Severe early childhood caries (SECC) is a bacterial inflammatory disease with complex pathology. Although changes in the oral microbiota and metabolic profile of patients with ECC have been identified, the salivary metabolites and the relationship of host-bacterial interactions with biochemical metabolism remain unclear. We aimed to analyse alterations in the salivary microbiome and metabolome of children with SECC as well as their correlations. Accordingly, we aimed to explore potential salivary biomarkers in order to gain further insight into the pathophysiology of dental caries. Methods: We collected 120 saliva samples from 30 children with SECC and 30 children without caries. The microbial community was identified through 16S ribosomal RNA (rRNA) gene high-throughput sequencing. Additionally, we conducted non-targeted metabolomic analysis through ultra-high-performance liquid chromatography combined with quadrupole time-of-flight mass spectrometry to determine the relative metabolite levels and their correlation with the clinical caries status.RESULTS: There was a significant between-group difference in 8 phyla and 32 genera in the microbiome. Further, metabolomic and enrichment analyses revealed significantly altered 32 salivary metabolites in children with dental caries, which involved pathways such as amino acid metabolism, pyrimidine metabolism, purine metabolism, ATP-binding cassette transporters, and cyclic adenosine monophosphate signalling pathway. Moreover, four in vivo differential metabolites (2-benzylmalate, epinephrine, 2-formaminobenzoylacetate, and 3-Indoleacrylic acid) might be jointly applied as biomarkers (area under the curve = 0.734). Furthermore, the caries status was correlated with microorganisms and metabolites. Additionally, Spearman's correlation analysis of differential microorganisms and metabolites revealed that Veillonella, Staphylococcus, Neisseria, and Porphyromonas were closely associated with differential metabolites.Conclusion: This study identified different microbial communities and metabolic profiles in saliva, which may be closely related to caries status. Our findings could inform future strategies for personalized caries prevention, detection, and treatment.
Metagenomic Analysis of the Interaction Between Gut Microbiota and Colorectal Cancer: A Paired-Sample Study Based on GMrepo Database
Authors: Chen Han , Jiao Jianhua , Wei Min , Jiang Xingzhou , Yang Ruoyun , Yu Xin , Zhang Guoxin , Zhou Xiaoying
Published: August 2022

Background
Based on previous evidence, the gut microbiota participates in the development and progression of colorectal cancer (CRC). This study aims to provide quantitative analysis and visualization of the interaction between gut microbiota and CRC and to establish a more precise microbiota panel for CRC diagnosis.
Method
A paired-sample study was designed by retrieving the original metagenomic data from the data repository for Gut Microbiota (GMrepo) database. The distribution difference was analyzed in gut microbiota at the species level between CRCs and controls. The co-occurrence network was established, and the microbial interaction with environmental factors was analyzed. The functional prediction was performed using PICRUSt2. Linear discriminant analysis effect size (LEfSe) and random forest model were used to determine significant biomarkers for differentiating CRC and control samples.
Results
A total of 709 metagenomic samples from 6 projects were identified. After matching, 86 CRC patients with 86 matched healthy controls from six countries were enrolled. A total of 484 microbial species and 166 related genera were analyzed. Besides the previously-recognized species of Fusobacterium nucleatum and species belonging to Peptostreptococcus, Porphyromonas, and Prevotella genera with CRC, we found significant associations with novel species of Parvimonas micra and Collinsella tanakaei. In CRC patients, Bacteroides uniformis was positively correlated with age whereas Dorea longicatena, Adlercreutzia equolifaciens, and Eubacterium hallii had positive associations with the body weight index (BMI). Finally, a random forest model was established by integrating different numbers of species with the highest model-building importance and lowest inner subcategory bias. The mean value of area under the receiver-operating curve (AUC) was 0.858 in the training cohort and 0.813 in the validation sets, respectively.
Conclusions
Our study provides a novel bioinformatics approach for investigating the interaction between gut microbiota and CRC patients using the online free database. Identification of key species and their associated genes should be further emphasized to disclose the relative causality of microbial organisms and CRC development.