bluuebunny/crossref_metadata_2025 huggingface dataset:
UGP2, a novel target gene of TP53, inhibits endothelial cells apoptosis and atherosclerosis
Authors: He Xin , Chen Juan-Jiang , Hu Xiu-Mei , Wu Chang-Meng , Zhang Ru-Yi , Yang Biao , Zheng Lei , Wang Qian
Published: May 2022

Dysfunction of the endothelial lining of lesion-prone areas of the arterial vasculature is an important contributor to the pathobiology of atherosclerotic cardiovascular disease. Recent studies have indicated that UDP-glucose pyrophosphorylase 2(UGP2) is implicated in cell proliferation and survival. Here we investigated the anti-apoptosis and anti-atherogenic effect of UGP2 in vitro and in vivo.Here, we explored the effects and mechanisms of UGP2 on apoptosis in endothelial cells by flow cytometer and Western blot analyses. And we engineered ldlr–/–ugp2+/– double-deficient mice to evaluated the apoptosis levels in atherosclerotic lesion. A microarray analysis showed that the expression of UGP2 was reduced in human atherosclerotic plaques. In vitro experiments revealed that TP53 interacted with the promotor region of the UGP2 gene, which upregulated UGP2 expression. Augmentation of UGP2 expression downregulated ROS levels, the expressions of Cleaved caspase-3 and apoptosis levels in endothelial cells, and this inhibitory effects of UGP2 on cell apoptosis could be significantly abolished by H2O2. In vivo experiments using ldlr–/–ugp2+/– mice fed a Western high-fat diet demonstrated that UGP2 deficiency promoted atherosclerosis, and increased the levels of ROS, expressions of Cleaved caspase-3 and apoptosis cells in atherosclerotic lesions. Thus, our results provide evidence for UGP2 as a novel target gene of TP53 contributes to anti-apoptosis effect linking to ROS homeostasis differ from canonical pathway, and we suggested that UGP2 could act as potential therapeutic targets to ameliorate atherosclerosis-related diseases.
Anti-inflammatory effects of Irisin in LPS-stimulated RAW264.7 macrophages by inhibiting the MAPK pathway
Authors: Ma Yuke , Du Yukuan , Yang Jingnan , He Qiaoling , Wang Huichao , Lin Xuhong
Published: May 2022

Aims Irisin is a newly discovered actin that has been shown to be effective against inflammation-related symptoms. The aim of this study was to investigate the influence of Irisin on LPS-induced inflammation in vitro and to investigate the role of the mitogen-activated protein kinase (MAPK) pathway in the protecting effect of Irisin in LPS-stimulated RAW 264.7 macrophages.Methods Cell viability was assessed using MTT assay and flow cytometry, cell morphology was measured by optical microscope, IL-12 and IL-23 were detected by Elisa, and the levels of related proteins were analyzed by western blot. Phagocytosis of zymosan and clearance of apoptotic cells were measured.Results MTT assay and flow cytometry results showed that LPS-induced cytotoxicity was reversed by Irisin(p<0.001), after coincubation with Irisin, the level of IL-12 and IL-23 decreased in LPS-stimulated RAW264.7 macrophages(p>0.05). Irisin pretreatment significantly inhibited the phosphorylation of ERK and AKT and increased the expression of PPAR α and PPAR γ(p<0.05). LPS-induced enhancement of phagocytosis(p<0.05) and cell clearance was reversed by Irisin pretreatment(p<0.001).Conclusions Irisin ameliorated LPS-induced inflammation by inhibiting cytotoxicity and apoptosis, and this protective effect may be mediated through the MAPK pathway.
ν-improved Nonparallel Support Vector Machine
Authors: Sun Fengmin , Lian Shujun
Published: May 2022

In this paper, we propose a new nonparallel support vector classifier, named ν-improved nonparallel support vector machine (ν-IMNPSVM), for solving binary classification problems. The model is adjusted on the nonparallel support vector classifier. In order to control the number of support vectors effectively, the value of C is replaced by the quantity ν. At the same time, ε-band is kept as small as possible. The hyperplane is constructed in the region where the data points are densely distributed, which plays a great role in the processing of unbalanced data sets. ν-IMNPSVM inherits the advantages of the previous model and improves the classification effect to some extent. The feasibility and effectiveness of the new model are showed by the validation results of a large number of data sets.AMS Subject Classification: 90C30
New Statistical Perspectives on Bath’s Law and Aftershock
Authors: Grimm Christian , Rupprecht Teresa , Johnson Kendra , Hainzl Sebastian , Küchenhoff Helmut , Käser Martin , Pagani Marco
Published: May 2022

The well-established Bath's law states that the average magnitude difference between a mainshock and its strongest aftershock is roughly 1.2, independently of the size of the mainshock. The main challenge in calculating this value is the bias introduced by missing data points when the strongest aftershock is below the observed cut-off magnitude. Ignoring missing values leads to a systematic error, because the data points removed are those with particularly large magnitude differences $\Delta M$. The error is minimized, if we restrict the statistics to mainshocks at least two magnitude units above the cut-off, but then the sample size is strongly reduced. This work provides an innovative approach for modelling $\Delta M$ by adapting methods for time-to-event data, which often suffers from incomplete observation (censoring). In doing so, we adequately account for unobserved values and estimate a fully parametric distribution of the magnitude differences $\Delta M$ for $M>6$ mainshocks. Results show that magnitude differences are best modeled by the Gompertz distribution, and that larger $\Delta M$ are expected at increasing depths and higher heat flows. A simulation experiment suggests that $\Delta M$ is mainly driven by the number and the magnitude distribution of aftershocks. Therefore, in a second study, we modelled the variation of aftershock productivity in a stochastically declustered local catalog for New Zealand, using a generalized additive model approach. Results confirm that aftershock counts can be better modelled by a Negative Binomial than a Poisson distribution. Interestingly, there is indication that triggered earthquakes trigger themselves two to three times more aftershocks than comparable background events. This effect can either be an indicator for incorrect trigger pair assignments as a result of the declustering approach, or it may represent an actual effect due to a higher prevalent energy level in the tectonic system during on-going earthquake sequences. If confirmed, this effect must be carefully considered in forward simulations of earthquake sequences, as otherwise there is a risk of substantially underestimating cluster sizes and consequently overestimating $\Delta M$.
Implementation of a prehospital-initiated redirection program for patients with low-acuity conditions: an 18-month retrospective cohort study
Authors: Mohamed Ilyas Abdi , Harrisson Jessica , Blanchard Pierre-Gilles , Lemire Lily-Pier , Houde Laurence , Emond Marcel , Nadeau Alexandra , Mercier Eric
Published: May 2022

Objectives
This study aims to describe the profile of patients and the barriers encountered in implementing an emergency medical services (EMS)-initiated redirection program to non-emergency department (ED) settings during the COVID-19 pandemic.
Methods
This is a retrospective cohort study. All EMS interventions during which the coordinating redirection centre (Capitale-Nationale, Quebec, Canada) was called were reviewed. The centre was available weekdays during working hours. On a voluntary basis, the on-site emergency medical technician (EMT) had the opportunity to contact the redirection centre to initiate diversion of patients with non-urgent conditions to a non-ED setting.
Results
Between April 27th, 2020, and October 26th, 2021, 2741 calls were received at the redirection centre, of which 1206 patients were finally diverted. Most redirected patients were female (62.0%) and 73.2% were aged ≥ 60 years old. The initial 911 Medical Dispatch Priority Systems (MDPS) codes of those redirected were sick person (37.3%) and falls (11.3%) while 58.9% were initially considered as low ambulance priority level (P4, P7). The main complaints of redirected patients were non-traumatic lower limb pain (17.8%), back pain (12.0%), neurologic disorder (8.3%), mental-health related condition (7.9%), skin disorder (6.7%) and fall (6.5%). Patients were most frequently redirected to a general practice clinic (45.1%), a community-based resource (20.1%) or their own family physician (11.9%). The main reasons for not redirecting, available for 1112 interventions, were the potential for deterioration (88.8%), patient not consenting to be redirected (7.2%) and no outpatient clinic availability (4.9%).
Conclusions
A redirection program initiated by EMTs was implemented in the context of the COVID-19 pandemic. Older adults and those presenting with lower limb and back pain were the main populations redirected. Promoting the program to paramedics and leveraging this opportunity to compare different models of care are the upcoming steps.
S100A9 as an inflammatory marker in hospitalized COVID-19 patients
Authors: Barbosa Larissa Gomes , Silva Artur Christian Garcia , Oliveira Juliana Marques , Klein Mary Hellen Fabres , Klein Raphael Contelli , Venâncio Larissa Paola Rodrigues , Santos Theo Araújo , Souza Pedro Paulo Chaves , Lima Jonilson Berlink
Published: May 2022

Objective: To evaluate serum levels of S100A9 as an inflammatory marker of unfavorable outcomes in patients with COVID-19 in a cross-section study.Material: Participants in this study were allocated from reference care units for the diagnosis of COVID-19 in the western region of Bahia, Brazil, from May 2020 to June 2021.Methods: Blood samples were collected from control group, patients with RT-qPCR positive for COVID-19 with different clinical manifestations of the disease and cured COVID-19 patients. Cytokines and inflammatory mediators (S100A9, D-dimer IL-6, IL-10, TNF-a, IL-12p70) were analyzed by ELISA/CBA.Results: Hospitalized COVID-19 patients presented increased production of S100A9, IL-6, IL-10, TNF-α, IL-12p70, and D-dimer when compared with not hospitalized patients, not infected or cured. Spearman analysis revealed a positive correlation between S100A9 and inflammatory cytokines/D-dimer. ROC curve analyses demonstrated accurate sensitivity and specificity for S100A9 and IL-6.Conclusion: S100A9 serum levels were elevated in hospitalized patients associated with unfavorable outcomes and poor prognosis in COVID-19. Thus, using S100A9 in association with other standardized parameters in clinical protocols may be a useful tool to predict critical clinical evolution during SARS-COV-2 infection.
A new view of territoriality in large eagles: the territory pre-exists regardless of their occupants.
Authors: Morollón Sara , López-López Pascual , Urios Vicente
Published: May 2022

1. The knowledge about territoriality and space use by predators is a topic of great interest in the study of animal behavior and conservation biology. Examining the plasticity of territory limits, the topology and how territories can be modified depending on their owners is important to deepen into the behavior of territorial species. 2. Here, we analyzed the variations and tested the similarity of the home-range of individuals from the same territory using the data provided by 51 Bonelli's eagles from 22 different territories, tagged with GPS/GSM dataloggers in eastern Spain. 3. We analyzed the percentage of overlap of the annual home-range considering the 95% kernel density estimator between individuals of the same territory. Also, we analyzed the variation in the home range size according to three different kernel levels (95%, 75% and 50%) and the annual eccentricity of each individual home-range as a complementary metric to study the topology of territories across years. We also analyzed the changes in territory size and topology after the replacement of territory owners either by a single individual or by the entire pair. 4. Our results show that territories, regardless of the occupying members, have the same topology and extension and that their limits hardly vary across time. 5. Therefore, the identification and conservation of territories of large eagles regardless of their owners are key to ensuring species recovery in the long term, which is particularly important for endangered species such as the Bonelli’s eagle. Finally, our study highlights satellite telemetry's importance in further investigating the behavioral ecology and its conservation implications in large eagles.
AlphaFold2 models indicate that protein sequence determines both structure and dynamics
Authors: Guo Hao-Bo , Perminov Alexander , Bekele Selemon , Kedziora Gary , Farajollahi Sanaz , Varaljay Vanessa , Hinkle Kevin , Molinero Valeria , Meister Konrad , Hung Chia , Dennis Patrick , Kelley-Loughnane Nancy , Berry Rajiv
Published: May 2022

AlphaFold 2 (AF2) has placed Molecular Biology in a new era where we can visualize, analyze and interpret the structures and functions of all proteins solely from their primary sequences. We performed AF2 structure predictions for various protein systems, including globular proteins, a multi-domain protein, an intrinsically disordered protein (IDP), a randomized protein, two larger proteins (> 1000 AA), a heterodimer and a homodimer protein complex. Our results show that along with the three dimensional (3D) structures, AF2 also decodes protein sequences into residue flexibilities via both the predicted local distance difference test (pLDDT) scores of the models, and the predicted aligned error (PAE) maps. We show that PAE maps from AF2 are correlated with the distance variation (DV) matrices from molecular dynamics (MD) simulations, which reveals that the PAE maps can predict the dynamical nature of protein residues. Here, we introduce the AF2-scores, which are simply derived from pLDDT scores and are in the range of [0, 1]. We found that for proteins with good multisequence alignment (MSA) depths, including large proteins and protein complexes, the AF2-scores are highly correlated with the root mean square fluctuations (RMSF) calculated from MD simulations. For proteins with little or no MSA hits (the IDP and randomized protein), the AF2-scores do not correlate with the RMSF from MD, especially for the intrinsically disordered proteins (IDPs). Our results indicate that the protein structures predicted by AF2 also convey information of the residue flexibility, i.e., protein dynamics.
Applied causal inference methods for sequential mediators
Authors: Zugna Daniela , Popovic Maja , Fasanelli Francesca , Heude Barbara , Scelo Ghislaine , Richiardi Lorenzo
Published: May 2022

Background: Mediation analysis aims at estimating to what extent the effect of an exposure on an outcome is explained by a set of mediators on the causal pathway between the exposure and the outcome. The total effect of the exposure on the outcome can be decomposed into an indirect effect, i.e. the effect explained by the mediators jointly, and a direct effect, i.e. the effect unexplained by the mediators. However finer decompositions are possible in presence of independent or sequential mediators. Methods: We review four statistical methods to analyse multiple sequential mediators , the inverse odds ratio weighting approach, the inverse probability weighting approach, the imputation approach and the extended imputation approach. These approaches are compared and implemented using a case-study with the aim to investigate the mediating role of adverse reproductive outcomes and infant respiratory infections in the effect of maternal pregnancy mental health on infant wheezing in the Ninfea birth cohort. Results: Using the inverse odds ratio weighting approach, the direct effect of maternal depression or anxiety in pregnancy is equal to a 59% (95% CI: 27%,94%) increased prevalence of infant wheezing and the mediated effect through adverse reproductive outcomes is equal to a 3% (95% CI:-6%,12%) increased prevalence of infant wheezing. When including infant lower respiratory infections in the mediation pathway, the direct effect decreases to 57% (95% CI: 25%,92%) and the indirect effect increases to 5% (95% CI:-5%,15%). The estimates of the effects obtained using the weighting and the imputation approaches are similar. The extended imputation approach suggests that the small joint indirect effect through adverse reproductive outcomes and lower respiratory infections is due entirely to the contribution of infant lower respiratory infections, independently from the increased prevalence of adverse reproductive outcomes. Conclusions: The four methods revealed similar results of small mediating role of adverse reproductive outcomes and early respiratory tract infections in the effect of maternal pregnancy mental health on infant wheezing. The choice of the method may depend on what is the effect of main interest, the nature of the variables involved in the analysis and the truthfulness of the underlying assumptions.
Accelerating Monte Carlo event generation -- rejection sampling using neural network event-weight estimates
Authors: Danziger Katharina , Janßen Timo , Schumann Steffen , Siegert Frank
Published: May 2022

The generation of unit-weight events for complex scattering processes
presents a severe challenge to modern Monte Carlo event generators. Even
when using sophisticated phase-space sampling techniques adapted to the
underlying transition matrix elements, the efficiency for generating
unit-weight events from weighted samples can become a limiting factor in
practical applications. Here we present a novel two-staged unweighting
procedure that makes use of a neural-network surrogate for the full
event weight. The algorithm can significantly accelerate the unweighting
process, while it still guarantees unbiased sampling from the correct
target distribution. We apply, validate and benchmark the new approach
in high-multiplicity LHC production processes, including
Z/WZ/W+4~jets
and t\bar{t}tt‾+3~jets,
where we find speed-up factors up to ten.
Competências Empreendedoras na Pandemia da Covid-19:
Authors: Silva Henrique Pereira da , Garcia Editinete André da Rocha , Cabral Augusto Cézar de Aquino
Published: May 2022

As pandemias afetam direta e indiretamente o funcionamento de diversos setores da economia, e as consequências provenientes desse fenômeno podem ser específicas para cada setor. Alguns são impactados de forma mais negativa, enquanto outros podem até se beneficiar economicamente. Em vista disso, este estudo tem como objetivo investigar as competências empreendedoras dos proprietários de pequenas empresas do varejo de moda em meio à pandemia da COVID-19. Para isso, foi aplicada uma pesquisa qualitativa de caráter descritivo com oito empreendedores em uma cidade do interior do estado do Ceará. Os resultados indicam que os empreendedores desenvolveram na prática as competências empreendedoras dos grupos de realização e planejamento, bem como as competências empresariais de assertividade e controle emocional e lidar com riscos e dificuldades. A presente pesquisa é relevante, pois contribui para a compreensão acerca do gerenciamento das competências empreendedoras dos proprietários de PMEs que atuam no varejo de moda, considerando a conjuntura de crise instaurada pela pandemia da COVID-19.
SUPERVISI AKADEMIK UNTUK MENINGKATAN KOMPETENSI GURU DALAM MENGEMBANGAN MATERI BAHAN AJAR DI MI KECAMATAN PRINGSURAT, KABUPATEN TEMANGGUNG
Authors: Makhsun Nur
Published: May 2022

Peningkatan mutu pendidikan formal sangat ditentukan guru, karena mereka memiliki fungsi dan peran strategis dalam pembangunan pendidikan. Oleh karena itu perlu kinerja guru perlu ditingkatkan. Pengembangan bahan ajar merupakan bagian dari proses pengembangan inovasi pendidikan. Bahan ajar tidak selamanya harus konvensional, namun guru harus melakukan beberapa tindakan untuk perbaikan cara pandang, berpikir, sikap, kebiasaan, profesionalisme, maupun perilaku dalam mengajar. Dengan demikian para guru harus memberikan inovasi dalam membuat bahan ajar karena akan berdampak pada kelancaran kegiatan pembelajaran siswa agar tidak cenderung merasa bosan. Tujuan Penelitian Tindakan Kepengawasan ini untuk mengetahui peningkatan kinerja guru dalam pengembangan materi bahan ajar melalui supervisi akademik di MI di Kecamatan Pringsurat, Kabupaten Temanggung. Penelitian tindakan ini dilakukan 3 siklus, dari hasil tindakan yang dilakukan terbukti dapat meningkatkan kinerja guru madrasah dengan standar ideal. Dari 69,25 % pada siklus l, dapat meningkat menjadi 71,65 % pada siklus II, dan siklus ke III meningkat menjadi 85,25%. Hasil penelitian ini menunjukkan supervisi akademik dapat meningkatkan kinerja guru madrasah dengan ketuntasan mencapai 100 %.
PENGEMBANGAN MULTIMEDIA PEMBELAJARAN AL-QUR’AN JUZ 30 BERBASIS MUROTTAL
Authors: Cholid Nur Cholid , Muqoffa Durrotul
Published: May 2022

The development of instruksional multimedia is a technological ddvancement in the world of education. The existence of technological supprot in The field of Education makes teachers assisted in effort to improve the quality of learning and to achieve teaching objective. This study aim to determine : 1) how to make multimedia learning qur’an juz 30 based on murrotal; 2) determine the feasibility of murrotal-based Quran learning multimedia developed as a medium for learning the quran juz 30. This research is a research and development. This development research was carried out throught several stage, namely potential and problem, information gathering, products design, design validation, desain revision. In the validation stage, multimedia learning in the Quran si validated by material experts and media experts. Data collection techniques use are questionnaire for instrumen. The validation data is the converted to a likert scale to obtain a multimedia feasibility category based on murrotal Quran. This research and development has produced murrotal juz-based Quran learning video.  Learning multimedia for Quran is feasible to be used in both good and very good categories. This can be seen in the result of validation of material experts with a score of 4.5 or the category of very good; validation of media experts with a score of 3.6 or good category.
IMPLEMENTASI PEMBELAJARAN PAI BAGI ANAK BERKEBUTUHAN KHUSUS (STUDI PADA RUMAH SINGGAH IBNU KHOLDUN MAJENANG)
Authors: Hanipudin Sarno , Meilawati Rantika
Published: May 2022

Penelitian yang menggunakan pendekatan kualitatif, model penelitian yang digunakan adalah observasi partisipan, wawancara dan dokumentasi . Penelitian ini bertujuan untuk (1) Mengetahui implementasi pembelajaran PAI bagi Anak Berkebutuhan Khusus di Rumah Singgah Ibnu Kholdun Majenang. (2) Mengetahui apa saja yang menjadi faktor pendukung dan faktor penghambat pembelajaran PAI bagi Anak Berkebutuhan Khusus di Rumah Singgah Ibnu Kholdun Majenang.
STRATEGI PEMBELAJARAN KEEP ON LEARNING DALAM MENINGKATKAN MOTIVASI DAN HASIL BELAJAR MAHASISWA
Authors: Kamal Faisal
Published: May 2022

Kegiatan pembelajaran yang monoton dipandang sebagai problem utama pendidikan. Pentingnya penerapan strategi pembelajaran yang efektif untuk menjaga motivasi belajar, sebab menjadi penentu hasil belajarnya. Penelitian ini bertujuan untuk meningkatkan motivasi dan hasil belajar dengan menggunakan strategi pembelajaran keep on learning. Kajian ini merupakan penelitian classroom action research dengan menggunakan spiral model Kemmis McTaggart dengan mengikuti prosedur pra siklus, siklus 1, dan siklus 2. Pengumpulan data dengan pengamatan dan tes, divalidasi dengan teknik expert judgement dan triangulasi. Hasil penelitian ini menunjukkan bahwa penggunaan strategi pembelajaran keep on learning dapat meningkatkan motivasi dan hasil belajar mahasiswa, yang berimplikasi adanya perbaikan dan peningkatan kualitas pembelajaran mahasiswa dalam mata kuliah sejarah pendidikan Islam.
PENGARUH MANAJEMEN PENDIDIKAN KARAKTER DAN BUDAYA RELIGIUS TERHADAP KESALEHAN SOSIAL SISWA DI MI NEGERI KABUPATEN GROBOGAN
Authors: Nizar Fahrudin Ali
Published: May 2022

AbstractThe purpose of this research is to find out the influence of character education management and religious culture on the social piety of students at Madrasah Ibtidaiyah Negeri Grobogan Regency. This research is a field research using descriptive analytic research with a quantitative approach. The population in this study were all students at Madrasah Ibtidaiyah Negeri Grobogan Regency totaling 1365 people and the sample used was 310 students. Collecting data using questionnaires and data analysis techniques used with multiple regression analysis, t test, F test and coefficient of determination. The results of the study concluded that there is a significant influence on the management of character education and religious culture together on the social piety of students at Madrasah Ibtidaiyah Negeri Grobogan Regency, seen from the results of the F test, it is obtained that the F value is 26.486 from this test to determine the contribution contributed by the character education and religious culture management variables to the social piety of students calculated using R Square of 14.7%
HAK ASASI MANUSIA DALAM UNDANG-UNDANG NO. 18 TAHUN 2019 TENTANG PESANTREN
Authors: Mulyo A. Mufrod Teguh , Hasyim A. Dardiri , Darsinah Darsinah
Published: May 2022

Secara umum disebutkan dalam UU No 18 Tahun 2019 bahwa pengaturan pada Pesantren diarahkan pada beberapa aspek, yaitu: penyelenggaraan, proses pembelajaran, pengelolaan dana, kerjasama, dan partisipasi masyarakat serta Negara. Tulisan ini bertujuan untuk mengetahui keterkaitan UU 18 Tahun 2019 terhadap rumusan HAM. Hasil penelitian menunjukkan bahwa terdapat 5 (lima) rumusan HAM sebagai perpaduan antara Konferensi Wina 1993 dengan UUD 1945 yang saling terkait satu sama lain, yang dapat digunakan sebagai indikator dalam menjawab sejauhmana penerapan HAM dalam UU Pesantren. Sementara itu terdapat beberapa pasal yang dinilai sejalan dengan kelima indikator tersebut di atas.
TINJAUAN EKONOMI ISLAM TENTANG UJRAH BURUH PANGGUL DI PASAR SUNGGINGAN KABUPATEN BOYOLALI
Authors: Rahmawati Anisa , Fataron Zuhdan Ady
Published: May 2022

Penelitian ini bertujuan menganalisis alasan buruh panggul bertahan dengan pekerjaannya di Pasar Sunggingan Kabupaten Boyolali dalam perspektif ekonomi Islam. Buruh panggul adalah pekerja yang menggunakan tenaga fisiknya untuk memanggulkan barang. Pengupah merupakan seseorang yang membutuhkan jasa buruh panggul dan memberikan kompensasi atas jasa tersebut. Jenis Penelitian ini adalah penelitian lapangan dengan pendekatan deskriptif kualitatif. Data penelitian berupa data primer, sekunder dengan metode pengumpulan data melalui wawancara, observasi dan dokumentasi, sedangkan analisis data menggunakan analisis deskriptif. Adapun hasil penelitian menunjukkan bahwa praktik pengupahan buruh di Pasar Sunggingan Kabupaten Boyolali melibatkan hubungan saling membutuhkan. Hubungan sudah terorganisir secara tidak formal, sehingga jenis pekerjaan bersifat bebas tanpa terikat. Konsistensi buruh panggul pada pekerjaannya dipengaruhi oleh faktor, yaitu 1) tidak ada alternatif pekerjaan yang memungkinkan adanya Huriyyatul Aqad, 2) saling memperhatikan dalam kepedulian sosial; serta 3) pekerjaan buruh panggul berpotensi konsisten cukup lama. Kesimpulan menunjukkan bahwa konsistensi kerja buruh panggul sesuai dengan perspektif ekonomi Islam yang menekankan bahwa pekerja tidak hanya mencari penghasilan, melainkan juga keberkahan bagi dirinya dan keluarga. Buruh panggul tetap bekerja meskipun menerima upah yang sedikit telah melakukan pekerjaan mulia bernilai ibadah karena pekerjaan tersebut lebih berharga daripada menganggur dan meminta-minta
Fuzzy credibility-constrained quadratic optimization for booster chlorination of the water distribution system under uncertainty
Authors: Wang Yumin , Zhu Guangcan
Published: May 2022

To keep chlorine concentration at acceptable levels, chlorine is usually injected into the water distribution system (WDS). To protect the health of human beings, the chlorine concentration at consumers’ nodes should be kept at appropriate levels. However, these levels are difficult to determine due to the presence of fuzzy uncertainties. To deal with fuzziness at both sides of the constraints in the optimization model of booster chlorination, we propose a fuzzy credibility-constrained quadratic programming (FCCQP) model with a consideration of credibility levels and weight coefficients. The proposed model is applied to two WDSs to obtain the booster cost under uncertain conditions. The results indicate that the booster cost increases with the confidence level for lower chlorine concentration ζL. In addition, the booster cost decreases with the weight coefficient w. The booster cost function curves along with the variation of weight coefficients are concave and convex for scenario 1 and scenario 2, respectively. These results can help managers to make informed decisions on disinfection injection under conditions of fuzzy uncertainties.
Using microcontroller based solar power system for reliable power supply
Authors: M.M. Shahjalal , Mehedy Manna , Rahman Md. Mijanur , Ali Md. Tuhin , Rahman Md. Mosiur , Bagdadee Amam Hossain
Published: May 2022

This paper has been demonstrated by implementing renewable energy-based solar power for a reliable power supply controlled by the  Node MCU microcontroller. The microcontroller is controlled the system by programming. Here also use an inverter, Node MCU, Battery, Solar Charge Controller. The main task of this Scheme  is that when the sun reflects on this solar panel, it will charge and save its battery. Two AC loads will run from the battery to the inverter, which can control via the Internet. DC will be converted to AC through the inverter and load. The main objective of this research is to use solar sources for load control and monitoring through the Internet.
Механизмы трансформации люминесценции красителя индоцианина зеленого в присутствии наностержней золота
Authors: Кондратенко Т.С. , Чевычелова Т.А. , Овчинников O.В. , Смирнов М.С. , Перепелица А.С.
Published: May 2022

Установлены спектрально-люминесцентные проявления плазмон-экситонного взаимодействия наностержней золота (Au NRs) со средними значениями длины и диаметра 35± 5 nm и 9± 2 nm, пассивированных молекулами цетилтриметиламмония бромида (СТАВ), с молекулами красителя индоцианина зеленого (ICG). Обнаружено тушение люминесценции ICG вблизи Au NRs и ее разгорание при пространственном разделении компонентов гибридных наносистем, достигаемом путем формирования сферической оболочки SiO2 средней толщиной 26±5 nm на Au NRs. Усиление люминесценции при наращивании диэлектрической оболочки обеспечивается за счет блокирования стерических трансформаций полиметиновой цепи ICG при возникновении взаимодействия красителя c кремнеземной оболочкой и эффекта Перселла. Ключевые слова: люминесценция, индоцианин зеленый, золотые наностержни, эффект Перселла.
Предельно короткие импульсы в оптически анизотропной среде с углеродными нанотрубками с учетом многофотонного поглощения
Authors: Конобеева Н.Н. , Белибихин С.В. , Белоненко М.Б.
Published: May 2022

In this paper, we study the influence of multiphoton absorption on the propagation of electromagnetic waves in a nonlinear optical anisotropic medium with carbon nanotubes. The effective equation for the vector potential of the electromagnetic field of the pulse is obtained, taking into account the second component of the polarization of the field, as well as two- and three-photon absorption processes. The dependence of the components of the pulse field on the parameters of the problem is revealed.
Электронное строение и оптическое поглощение изомеров фуллерена C-=SUB=-90-=/SUB=-
Authors: Мурзашев А.И. , Кокурин М.Ю. , Жуманазаров А.П. , Паймеров С.К.
Published: May 2022

The energy spectra and optical absorption spectra of isomers Nos. 1, 6, 16 and 46 of fullerene C90 are calculated. Due to the comparison of theoretical and experimental optical absorption spectra, three previously synthesized isomers of C90 fullerene have been identified. The calculations are carried out within the framework of the developed approach, taking into account the intra-node Coulomb interaction of π-electrons, which plays a crucial role in the formation of the electronic and optical properties of fullerenes.
A Case Study on the Development of Math Competence in an Eight-year-old Child with Dyscalculia: Shared Intentionality in Human-Computer Interaction for Online Treatment Via Subitizing
Authors:   Academic Center for Coherent Intelligence, Riga, Latvia, Danilov Igor Val , Mihailova Sandra ,   Riga Stradins University, Riga, Latvia
Published: May 2022

Studies in the field of neuroscience have shown that the neural network responsible for numeracy overlaps with the visual and spatial processing regions. Other studies in psychology also highlighted an association of visual-spatial processing with mathematical competence at the early stages of development. These findings suggest that research on the size of the focal area of attention (consciousness) can contribute to understanding the development of numeracy. In this case study, we verified the hypothesis of developing numeracy in children by training the rapid apperception of a few items called “subitizing.” Shared intentionality promotes cognition from the onset. Therefore, in this study, we investigated this interaction modality to give an eight-year-old girl an insight into expanded apperception of an array in "subitizing" for improving her numerical competence. The child was stimulated to apperceive more objects while performing “subitizing” tasks with the mother. The course of treatment consisted of the four regimes of human-computer interaction based on rapid exposure to several pictures with a few dots. Simultaneously, this human-computer interaction also stimulated shared intentionality in the mother-child dyad for developing the child’s rapid apprehension of these small quantities. The outcome of this intervention was an increase in the size of the focal point of attention (consciousness) and the development of numerical competence, where an association was established between the expanding apperception and the developing numeracy.
The Use of Social Media as a Persuasive Platform to Facilitate Nutrition and Health Behavior Change in Young Adults: Web-Based Conversation Study (Preprint)
Authors: Friedman Vanessa J , Wright Cassandra J C , Molenaar Annika , McCaffrey Tracy , Brennan Linda , Lim Megan S C
Published: May 2022

BACKGROUND

Globally, suboptimal dietary choices are a leading cause of noncommunicable diseases. Evidence for effective interventions to address these behaviors, particularly in young adults, is limited. Given the substantial time young adults spend in using social media, there is interest in understanding the current and potential role of these platforms in shaping dietary behavior.

OBJECTIVE

This study aims to explore the influence of social media on young adults’ dietary behaviors.

METHODS

We recruited 234 young adults aged 18-24 years and living in Australia, using market and social research panels. We applied a digital ethnography approach to collect data from web-based conversations in a series of forums, where participants responded to different health-themed questions related to health behavior change and persuasion on social media. We conducted a qualitative thematic analysis.

RESULTS

Participants described how social media influenced their decisions to change their health behaviors. Access to social support and health information through web-based communities was juxtaposed with exposure to highly persuasive fast-food advertisements. Some participants expressed that exposure to web-based health-focused content induced feelings of guilt about their behavior, which was more prominent among women. Fast-food advertisements were discussed as a contributor to poor health behaviors and indicated as a major barrier to change.

CONCLUSIONS

Young adults reported that social media is highly persuasive toward dietary behavior through different pathways of social influence. This suggests that social norms on the web are an important aspect of changing young adults’ health behaviors. The commercialization of social media also encourages poor health behaviors, largely through fast-food advertisements. Future social media–delivered dietary interventions should acknowledge the social and environmental factors that challenge the ability of young adults to make individual health behavior improvements. Care should also be taken to ensure that future interventions do not further elicit guilt in a way that contributes to poor mental health within this community.
Translation, Cross-cultural Adaptation, and Reproducibility of the Influence on Physical Activity Instrument in Obese-adult population: A Cross-Sectional Study (Preprint)
Authors: Chou Cheng-Chen , Widiantoro Fransiskus Xaverius , Hakim Arif Rahman , Tsai Mei-Li , Wang Chi-Jane
Published: May 2022

BACKGROUND

Obesity is a major public health problem in the world. Physical inactivity is one of the significant risk factors for obesity. Both problems are prevalent in Indonesia. However, there are no valid Indonesian tools to explore the influences of PA. Owing to cultural and social-context issues, developing the Indonesian-Bahasa version of instrument is an important task to explore the influence on PA in Indonesia.

OBJECTIVE

This study aimed to validate the cultural appropriateness of the Indonesian-Bahasa version of the Influences on Physical Activity Instrument (IPAI-I) and test its psychometric properties.

METHODS

Using a cross-sectional design, our study samples came from community health-centers in west-Java, where 1200 residents underwent health screening. Eligible subjects were 846 obese-adult who were recruited as study participants. The Indonesian version of IPAI-I was assessed using Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) to examine the psychometric properties, where reliability was tested using internal consistency and stability.

RESULTS

Through EFA via Principal Axis Factoring with Oblimin rotation, the 21-item IPAI-I exhibited cross-cultural appropriateness, readability with three factors in the individual domain, one factor in the support domain, and two factors in the environment domain. A second-order confirmatory factor analysis demonstrated the model’s goodness of fit: χ2/df = 1.33, GFI =0.94, and RMSEA =0.031 (p < .01). The support domain and environment domain were moderately correlated (r =0.51; p < .001), but the two domains had a very low correlation with the individual domain. The reliability of the instrument was tested by intraclass correlation and Cronbach’s α. The factors’ intra-rater reliability values were 0.73–0.92, and the Cronbach's alphas were 0.82–0.91.

CONCLUSIONS

The IPAI-I is valid and reliable for exploring the influences on physical activity for overweight or obese individuals in Indonesia.
Mobile phone, computer, internet, and social media use among users of psychiatric inpatient services in Berlin, Germany - A cross-sectional patient survey. (Preprint)
Authors: Marbin Derin , Gutwinski Stefan , Lech Sonia , Fürstenau Daniel , Kokwaro Linda , Krüger Helena , Schindel Daniel , Schreiter Stefanie
Published: May 2022

BACKGROUND

Few studies and almost exclusively from the US have recently investigated mobile phone and computer use among users of psychiatric services, which is of high relevance regarding the increasing development of digital health applications and services.

OBJECTIVE

In this cross-sectional patient survey, we examined the use of digital devices among psychiatric inpatients and identified possible predictors for not owning and using digital devices.

METHODS

In a cross-sectional patient survey, we examined a) rates and purposes of mobile phone, computer, internet, and social media use and b) the role of social and clinical predictors on rates of utilization among psychiatric inpatients in Berlin, Germany.

RESULTS

Descriptive analyses showed, that among 496 participants, 84.9% owned a mobile phone, and 59.3% a smartphone. Among 493 participants, 68.4% used a computer regularly. Multivariate logistic regression models revealed being homeless, diagnosis of a psychotic illness,being of older age and a lower level of education to be significant predictors for not owning a mobile phone respective not using a computer regularly or having a social media account.

CONCLUSIONS

Users of psychiatric services may have access to mobile phones and computers, although rates are lower than in the general population. However, key barriers that need to be addressed regarding the development of and engagement with digital health interventions, are factors of social exclusion like marginalized housing as well as clinical aspects like psychotic illness.
SARS-CoV-2–Related Adaptation Mechanisms of Rehabilitation Clinics Affecting Patient-Centered Care: Qualitative Study of Online Patient Reports (Preprint)
Authors: Kühn Lukas , Lindert Lara , Kuper Paulina , Choi Kyung-Eun Anna
Published: May 2022

BACKGROUND

The SARS-CoV-2 pandemic impacted access to inpatient rehabilitation services. At the current state of research, it is unclear to what extent the adaptation of rehabilitation services to infection-protective standards affected patient-centered care in Germany.

OBJECTIVE

The aim of this study was to determine the most relevant aspects of patient-centered care for patients in inpatient rehabilitation clinics under early phase pandemic conditions.

METHODS

A deductive-inductive framework analysis of online patient reports posted on a leading German hospital rating website, Klinikbewertungen (Clinic Reviews), was performed. This website is a third-party, patient-centered commercial platform that operates independently of governmental entities. Following a theoretical sampling approach, online reports of rehabilitation stays in two federal states of Germany (Brandenburg and Saarland) uploaded between March 2020 and September 2021 were included. Independent of medical specialty groups, all reports were included. Keywords addressing framework domains were analyzed descriptively.

RESULTS

In total, 649 online reports reflecting inpatient rehabilitation services of 31 clinics (Brandenburg, n=23; Saarland, n=8) were analyzed. Keywords addressing the care environment were most frequently reported (59.9%), followed by staff prerequisites (33.0%), patient-centered processes (4.5%), and expected outcomes (2.6%). Qualitative in-depth analysis revealed SARS-CoV-2–related reports to be associated with domains of patient-centered processes and staff prerequisites. Discontinuous communication of infection protection standards was perceived to threaten patient autonomy. This was amplified by a tangible gratification crisis of medical staff. Established and emotional supportive relationships to clinicians and peer groups offered the potential to mitigate the adverse effects of infection protection standards.

CONCLUSIONS

Patients predominantly reported feedback associated with the care environment. SARS-CoV-2–related reports were strongly affected by increased staff workloads as well as patient-centered processes addressing discontinuous communication and organizationally demanding implementation of infection protection standards, which were perceived to threaten patient autonomy. Peer relationships formed during inpatient rehabilitation had the potential to mitigate these mechanisms.
Heterogeneous Semantic Graph Construction and HinSAGE Learning from Electronic Medical Records (Preprint)
Authors: Cho Ha Na , Ahn Imjin , Gwon Hansle , Kang Heejun , Kim Yunha , Choi Heejung , Kim Minkyoung , Han Jiye , Kee Gaeun , Jun Tae Joon , Kim Young-Hak
Published: May 2022

BACKGROUND

Graph representations learning is a method for introducing how to effectively construct and learn patient embeddings using electronic medical records (EMR) datasets. Adapting the integration limits will support and advance the previous methods to predict the prognosis of patients in network models.

OBJECTIVE

This study aimed to address the challenge of implementing complex and large EMR, including the following: (1) demonstrating how to build a multi-attributed and multi-relational graph model (2) and applying a downstream disease prediction task of patient’s prognosis using HinSAGE algorithm.

METHODS

A total of 61,789 patients diagnosed with angina who visited the Asan Medical Center between 2000 and 2016 were included in the study. We illustrated two bipartite graph representations from real-world EMR data sets, to effectively visualize the patients’ representation and apply the heterogeneous graph neural network using the HinSAGE algorithm. Then, we performed the link prediction task for predicting the event occurrence of myocardial infarction, stroke, heart failure and death on binary edge attributes to evaluate the network performance.

RESULTS

The first constructed graph model contained 492,886 nodes with attributes and 439,045 edges for displaying 10 nodes and 9 edge types. The patient-centric graph database was then used to illustrate a query of a predictive network. Moreover, the second graph model is composed of 107,682 nodes and 53,841 edges with node and edge attributes for displaying 2 node and 2 edge types. Next, the model object underwent an experiment using the HinSAGE algorithm. As a result, the performance evaluation indicated that our heterogeneous graph model outperformed other baseline methods, achieving the area under a receiver operating characteristic curve (AUROC) and the area under precision-recall curve (AUPRC) measurements of 0.69 and 0.17, respectively.

CONCLUSIONS

The proposed implemented models successfully demonstrated the graph construction and graph representation learning on the EMR dataset to empower three roles: broaden EMR research, decision making in diagnosis, and personalized medicine. Future works may integrate additional data sources alongside the node and edge types to further improve the performance evaluation.
Social Media Mining to Support Long Covid Drug Repurposing: Exploring Self-medication Reported by Reddit Users (Preprint)
Authors: Koss Jonathan , Bohnet-Joschko Sabine
Published: May 2022

BACKGROUND

Since the beginning of the COVID-19 pandemic, over 480 million people have been infected, and more than 6 million people died from COVID-19 worldwide. In some patients with acute COVID-19, symptoms manifest over a longer period, also called “Long Covid”. Unmet medical need related to long covid is high, since there are no treatments approved.

OBJECTIVE

The study aims to provide an overview of different medication treatment strategies and important compounds, mentioned in reddit users long-covid self-reports, to support drug repurposing hypothesis generation by applying the principle of retrospective clinical analysis using passive crowdsourcing.

METHODS

We used Named Entity Recognition to extract substances representing medications or supplements used to treat long covid from almost 70,000 posts on the /r/covidlonghaulers subreddit. Substances were analyzed by frequency, co-occurrences, and network analysis, to identify important substances and clusters of substances.

RESULTS

The named entity recognition algorithm achieved an F1 score of 0.67. A total of 28,447 substance entities and 5,789 word-co-occurrence pairs were extracted. "Histamine antagonists," "famotidine," "magnesium," "vitamins," and "steroids" were the most frequently mentioned substances. Network analysis revealed three clusters of substances, indicating certain medication patterns.

CONCLUSIONS

Our results highlight certain approaches to drug repurposing, such as antihistamines, steroids, or antidepressants, while also indicating that patients experiment with a wide range of substances in a systematic manner. In the context of a pandemic, passive crowdsourcing of potential treatments can support drug repurposing hypothesis development by prioritizing substances that are important to users.