Miracle-dz/UniFAR-FTUs huggingface dataset:
Perancangan User Experience Aplikasi Pendaftaran Kunjungan Puskesmas Menggunakan Metode User Experience Lifecycle

Sektor kesehatan merupakan salah satu sektor penting dari pemerintah yang sangat berpotensial untuk dapat di tingkatkan dengan kehadiran teknologi informasi. Puskesmas Kecamatan Ciputat Timur yang menjadi salah satu pusat pelayanan kesehatan di daerah Kota Tangerang Selatan selalu meningkatkan perkembangan teknologi yang dimilikinya. Dengan jumlah kunjungan pasien yang cukup banyak menyebabkan masalah anterian kunjungan yang memakan waktu relatif lama ketika mendaftar dalam loket pelayanan. Keuntungan metode User Experience Lifecycle yang diterapkan pada proses pengembangan aplikasi pendaftaran online kunjungan puskesmas mobile ini dimulai dari tahap analisis yang memahami kebutuhan pengguna melalui metode pengumpulan data. Tahap desain dengan pembuatan Wireframe. Hasil desain diimplementasikan dalam bentuk Prototipe High-Fidelity berbasis mobile dan hasil diuji menggunakan System Usability Scale (SUS). Evaluasi prototipe dapat menunjukan hasil keseluruhan aplikasi berhasil membantu pengguna dalam efisiensi pendaftaran online kunjungan puskesmas.
Isoperimetric and Universal Inequalities for Eigenvalues

This paper reviews many of the known inequalities for the eigenvalues of the Laplacian and bi-Laplacian on bounded domains in Euclidean space. In particular, we focus on isoperimetric inequalities for the low eigenvalues of the Dirichlet and Neumann Laplacians and of the vibrating clamped plate problem (i.e., the biharmonic operator with “Dirichlet” boundary conditions). We also discuss the known universal inequalities for the eigenvalues of the Dirichlet Laplacian and the vibrating clamped plate and buckling problems and go on to present some new ones. Some of the names associated with these inequalities are Rayleigh, Faber-Krahn, Szeg˝o-Weinberger, Payne-P´olya-Weinberger, Sperner, Hile-Protter, and H. C. Yang. Occasionally, we will also comment on extensions of some of our inequalities to bounded domains in other spaces, speciﬁcally, S n or H n .
Needle-assisted jet injector

(57) Abstract: a needle assisted jet injector for an agent for jetting, and the method is disclosed. In one embodiment of the injector, the needle is retractably disposed within the injector nozzle assembly. When the force generating source operation, the elongation part of the needle beyond the nozzle assembly passes through the outer layer of the skin, by jetting, to transport the drug to a deeper region. After operation, the needle is retracted into the nozzle assembly. In another embodiment, the needle is fixed to an end portion of the nozzle assembly. In both embodiments, the length of the corresponding portion of the needle passing through the skin for less than 5 millimeters.
La lithiase urinaire : épidémiologie, rôle des éléments traces et des plantes médicinales

La lithiase urinaire est une affection tres repandue qui touche 4 a 18% de la population selon les pays. Cette pathologie necessite beaucoup de recherches pluridisciplinaires. Le travail presente dans cette these a pour objet de preciser la nature des calculs urinaires de l’Est Algerien et d’etudier ensuite le role de certains elements traces ainsi que l’effet de quelques extraits de plantes medicinales sur la dissolution des calculs urinaires. Les techniques utilisees sont principalement les suivantes : la spectrophotometrie infrarouge a transformee de Fourier pour determiner la composition chimique des calculs, la fluorescence X afin de determiner la nature et la teneur des elements traces et la microscopie electronique a balayage pour explorer la structure intime des cristallites a l’echelle mesoscopique. D’autres methodes comme la microscopie optique ont ete utilisees pour faire l’analyse morphoconstitutionnelle des calculs. Enfin, un modele experimental in vitro a ete developpe pour etudier l’effet des plantes medicinales. Bien que le nombre de calculs urinaires consideres soit faible, l’epidemiologie de la lithiase dans cette region de l’Algerie a ete esquissee. Les calculs d’oxalate de calcium deviennent preponderants en raison d’un changement des habitudes alimentaires avec toutefois une persistance des calculs d’origine infectieuse que l’infection soit urinaire ou digestive. Les donnees recueillies sur la distribution des elements traces ne soulignent pas leur role catalytique mais sont en faveur d’un simple processus d’adsorption. Aucun des extraits de plantes testes, tous issus de la pharmacopee algerienne, n’a eu d’effet tangible pour dissoudre les calculs urinaires.
Transoral incisionless fundoplication is cost-effective for treatment of gastroesophageal reflux disease

Background and study aims Given the sizable number of patients with symptomatic gastroesophageal reflux disease (GERD) despite proton pump inhibitor (PPI) therapy, non-pharmacologic treatment has become increasingly utilized. The aim of this study was to analyze the cost-effectiveness of medical, endoscopic, and surgical treatment of GERD. Patients and methods A deterministic Markov cohort model was constructed from the US healthcare payer’s perspective to evaluate the cost-effectiveness of three competing strategies: 1) omeprazole 20 mg twice daily; 2) transoral incisionless fundoplication (TIF 2.0); and 3) laparoscopic Nissen fundoplication [LNF]. Cost was reported in US dollars with health outcomes recorded in quality-adjusted life years (QALYs). Ten-year and lifetime time horizons were utilized with 3 % discount rate and half-cycle corrections applied. The main outcome was incremental cost-effectiveness ratio (ICER) with a willingness-to-pay threshold of $ 100,000 per QALY. Probabilistic sensitivity analyses were also performed. Results In our base-case analysis, the average cost of TIF 2.0 was $ 13,978.63 versus $ 17,658.47 for LNF and $ 10,931.49 for PPI. Compared to the PPI strategy, TIF 2.0 was cost-effective with an incremental cost of $ 3,047 and incremental effectiveness of 0.29 QALYs, resulting in an ICER of $ 10,423.17 /QALY gained. LNF was strongly dominated by TIF 2.0. Over a lifetime horizon, TIF 2.0 remained the cost-effective strategy for patients with symptoms despite twice-daily 20-mg omeprazole. TIF 2.0 remained cost-effective after varying parameter inputs in deterministic and probabilistic sensitivity analyses and for scenario analyses in multiple age groups. Conclusions Based upon this study, TIF 2.0 was cost-effective for patients with symptomatic GERD despite low-dose, twice-daily PPI.
[Re] When to Trust Your Model: Model-Based Policy Optimization

Reinforcement learning algorithms generally belong to one of two categories: model-based techniques, which attempt to overcome the issue of a lack of prior knowledge by enabling the agent to construct a representation of its environment, and model-free techniques, which learn a direct mapping from states to actions. Model-free approaches are typically less practical because running a simulation is very time consuming or expensive, and model-based approaches tend to achieve lower asymptotic performance due to the error in model approximation. To design an effective model-based algorithm, Janner, M. et al [1]. studies the role of model usage in policy optimization and introduces a practical algorithm called model-based policy optimization (MBPO), which makes limited use of a predictive model to achieve pronounced improvements in performance comparing to other model-based approaches. The authors of the paper [1] first formulate and analyze a general implementation for MBPO with monotonic improvement at each step which uses a predictive model to optimize policy and utilizes the policy to collect data and train the model. Previous study shows it is difficult to justify model usage due to pessimistic bounds on model error and this paper finds a way to modify the pessimistic bounds which solves the problem. Based on the analysis, the authors propose a simple model-based reinforcement learning algorithm of using short model-generated rollouts branched from real data to improve model effectiveness. The experiments show this algorithm is faster than other state-ofthe-art model-based methods such as STEVE [2], and matches the performance of the best model-free methods like SAC [3]. In this reproducibility report, we study in detail the MBPO algorithm described in the paper (detailed in Section 3). Our work mainly focuses on the replication of their algorithm and the re-implementation of their predictive model but in a PyTorch version (detailed in Section 4). Lastly, we describe our experiments and provide insightful analysis of our results (detailed in Section 5). We provide the source code1 for generating the results and setting up the experiments.
A Sustainable Climate Forecast System for Post-processing of Precipitation With Application of Machine Learning Computations

Although many meteorological prediction models have been developed recently, but their predictions are still unreliable. Post-processing is a task for improving meteorological predictions. This study proposes a post-processing method for the Climate Forecast System Version2 (CFSV2) model. The applicability of the proposed method is shown in Iran for an observation data from 1982 to 2017. A software has been implemented which could be used to automatically perform post-processing in meteorological organizations. With application of the present study, Decision Support System (DSS) is implemented for controlling precipitation based natural side effects such as �ood disaster or drought phenomenon. Likewise, it is worth noting that the mentioned DSS meets Sustainable Development Goals (SDGs) through grantee of human health and environmental protection issues. Finally, the most important section of DSS is related to prediction and in the present study it is performed by Random Forest algorithm with more than 0.87 correlation coe�cient.
Shear stress depends on vascular territory in healthy subjects: comparison between common carotid and brachial artery

Shear stress (SS) is thought to be constant throughout the vascular system. Evidence for this supposition is scarce, however. To verify this hypothesis in vivo we assessed common carotid (CCA) and brachial artery (BA) peak and mean wall shear rate (SR) non-invasively in ten healthy volunteers (23.7 ± 3.4 years) with an ultrasound SR estimation system. SS was estimated from SR and calculated whole blood viscosity (WBV). SR was higher (p < 0.05) in the CCA (mean: 359 ± 111 s -1 ; peak: 1047 ± 345 s -1 ) than in the BA (mean: 95 ± 24 s -1 ; peak: 770 ± 170 s -1 ). WBV was higher in the BA compared to the WBV in the CCA (5.1 ± 0.7 vs 3.3 ± 0.6 mPa.s; p < 0.001). Peak SS did not differ between the CCA and the BA, whereas mean SS was significantly higher in the CCA (1.15 ± 0.21 Pa) than in the BA (0.48 ± 0.15 Pa; p < 0.001). These results demonstrate that BA SS strongly deviates from CCA SS in vivo .
Diagnostik von Motilitätsstörungen des Ösophagus – Bedeutung der neuen Chicago-Klassifikation v4.0

Zusammenfassung Ösophagusmotilitätsstörungen sind Erkrankungen, bei denen es aufgrund einer Veränderung der neuromuskulären Strukturen zu Fehlfunktionen des Schluckakts kommt. Das Leitsymptom ist daher die Dysphagie für feste und/oder flüssige Speisen, häufig begleitet von Symptomen wie Thoraxschmerz, Regurgitation, Sodbrennen und Gewichtsverlust. Die Ösophagusmanometrie ist der Goldstandard in der Diagnostik. Endoskopie und Radiologie dienen dem Ausschluss entzündlicher oder maligner Veränderungen. Durch die Einführung der hochauflösenden Ösophagusmanometrie (HRM) hat sich die Diagnostik der Ösophagusmotilitätsstörungen verbessert und mit der Chicago-Klassifikation zu einer neuen Einteilung geführt, die im letzten Jahrzehnt mehrfach modifiziert wurde, zuletzt 2021 mit der Chicago-Klassifikation v4.0. Verglichen mit der Vorversion v3.0 finden sich einige wichtige Änderungen, die anhand der im klinischen Alltag wichtigsten Ösophagusmotilitätsstörungen vorgestellt werden.
Transforming Emotional Design Principles Into Innovative Product Development Platform Design

This paper first describes the requirements for crowdsourced manufacturing, especially focusing on new product development (NPD). Secondly, it discusses the barriers of existing crowdsourcing platforms from a previous project study and the challenges in designing an integral crowdsourcing platform, which will not only effectively support new product development, but also be able to provide easy and pleasurable participation and engagement experience for both crowds and various related business stakeholders. By regarding such a platform as a service tool (product) for the design and manufacturing industry, this paper proposes to transform emotional design theories and principles into the platform design and development and explores implementation methodologies and techniques. It is believed that emotional design theories will serve well for a digital innovative product design and development platform design.
Physiological suitability of sulfate‐reducing granules for the development of bioconcrete

Regular monitoring and timely repair of concrete cracks are required to minimize further deterioration. Self‐healing of cracks has been proposed as an alternative to the crack maintenance procedures. One of the proposed techniques is to use axenic cultures to exploit microbial‐induced calcite precipitation (MICP). However, such healing agents are not cost‐effective for in situ use. As the market for bio‐based self‐healing concrete necessitates a low‐cost bio‐agent, nonaxenic sulfate reducing bacterial (SRB) granules were investigated in this study through cultivation in an upflow anaerobic sludge blanket reactor. The compact granules can protect the bacteria from adverse conditions without encapsulation. This study investigated the microbial activities of SRB granules at different temperatures, pH, and chemical oxygen demand concentrations which the microbes would experience during the concrete casting and curing process. The attenuation and recovery of microbial activities were measured before and after the exposure. Moreover, the MICP yield was also tested for a possible use in self‐healing bioconcrete. The results consistently showed that SRB granules were able to survive starvation, high temperature (50–60°C), and high pH (12), together with scanning electron microscope/energy dispersive spectrometry/X‐ray diffraction analysis evidence. Microbial staining analysis demonstrated the formation of spores in the granules during their exposure to harsh conditions. SRB granule was thus demonstrated to be a viable self‐healing nonaxenic agent for low‐cost bioconcrete.
Hsa_circ_0000285 knockdown inhibits the progression of hepatocellular carcinoma by sponging miR-582-3p to regulate CCNB2 expression

Aim Hsa_circ_0000285, a novel circular RNA, has been proven to extensively take part in the pathogenesis of numerous tumors. In hepatocellular carcinoma (HCC), very little is known about hsa_circ_0000285 until now. Hence, this research aims to determine hsa_circ_0000285’s functional role and underlying mechanisms in HCC. Methods The expressions of miR-582-3p, hsa_circ_000028, and cyclin B2 (CCNB2) among the HCC cells and tumor samples were determined by performing western blotting and qRT-PCR analyses. The impacts of hsa_circ_000028 on the proliferative and migratory abilities of HCC cells were examined through the execution of CCK-8 and wound-healing assays. Meanwhile, the expressions of the proteins Bcl-2 and Bax were detected via western blotting. Tumor xenograft models were established to examine how hsa_circ_000028 functions during the mediation of HCC tumor growth in vivo. RNA immunoprecipitation and luciferase reporter experiments were performed for the validation of the interactions of miR-582-3p, hsa_circ_000028, and CCNB2 with each other. Results Elevated hsa_circ_0000285 and CCNB2 expressions, and a decreased miR-582-3p expression were observed among the HCC cell lines and tumors. Hsa_circ_0000285 bound to miR-582-3p competitively to improve CCNB2 levels. Silencing of hsa_circ_0000285 promoted apoptosis and repressed proliferation and migration among HCC cells. Moreover, silencing hsa_circ_0000285 also impeded the growth of HCC tumors in vivo. Inhibiting hsa_circ_0000285 or CCNB2 reversed the miR-582-3p-knockdown-mediated promotion of malignant HCC cell phenotypes. Conclusion Our study has demonstrated that hsa_circ_0000285 fosters the development of malignant HCC cells phenotypes through the modulation of the miR-582-3p/CCNB2 axis. Thus, these results suggest that hsa_circ_0000285 is a prospective target for HCC treatment.
Mimicking the Natural Basement Membrane for Advanced Tissue Engineering

Advancements in the field of tissue engineering have led to the elucidation of physical and chemical characteristics of physiological basement membranes (BM) as specialized forms of the extracellular matrix. Efforts to recapitulate the intricate structure and biological composition of the BM have encountered various advancements due to its impact on cell fate, function, and regulation. More attention has been paid to synthesizing biocompatible and biofunctional fibrillar scaffolds that closely mimic the natural BM. Specific modifications in biomimetic BM have paved the way for the development of in vitro models like alveolar-capillary barrier, airway models, skin, blood-brain barrier, kidney barrier, and metastatic models, which can be used for personalized drug screening, understanding physiological and pathological pathways, and tissue implants. In this Review, we focus on the structure, composition, and functions of in vivo BM and the ongoing efforts to mimic it synthetically. Light has been shed on the advantages and limitations of various forms of biomimetic BM scaffolds including porous polymeric membranes, hydrogels, and electrospun membranes This Review further elaborates and justifies the significance of BM mimics in tissue engineering, in particular in the development of in vitro organ model systems.
Cell‐to‐cell transmission of HIV‐1 from provirus‐activated cells to resting naïve and memory human primary CD4 T cells is highly efficient and requires CD4 and F‐actin but not chemokine receptors

Latently infected cells harboring replication‐competent proviruses represent a major barrier to HIV‐1 cure. One major effort to purge these cells has focused on developing the “shock and kill” approach for forcing provirus reactivation to induce cell killing by viral cytopathic effects, host immune responses, or both. We conducted kinetic and mechanistic studies of HIV‐1 protein expression, virion production, and cell‐to‐cell virus transmission during provirus reactivation. Provirus‐activated ACH‐2 cells stimulated with romidepsin (RMD) or PMA produced Nef early, and then Env and Gag in parallel with the appearance of virions. Env on the surface of provirus‐activated cells and cellular F‐actin were critical in the formation of virological synapses to mediate cell‐to‐cell transmission of HIV‐1 from provirus‐activated cells to uninfected cells. This HIV‐1 cell‐to‐cell transmission was substantially more efficient than transmission seen via cell‐free virus spread and required F‐actin remodeling and CD4, but not chemokine receptors. Resting human primary CD4+ T cells including naïve and memory subpopulations and, especially the memory CD4+ T cells, were highly susceptible to HIV‐1 infection via cell‐to‐cell transmission. Cell‐to‐cell transmission of HIV‐1 from provirus‐activated cells was profoundly decreased by protease inhibitors (PIs) and neutralizing antibodies (nAbs) that recognize the CD4‐binding site (CD4bs) such as VRC01, but not by reverse transcriptase (RT) inhibitor Emtricitabine (FTC). Therefore, our results suggest that PIs with potent blocking abilities should be used in clinical application of the “shock and kill” approach, most likely in combination with CD4bs nAbs, to prevent new HIV‐1 infections.
A Bioprinted Bruch's Membrane for Modeling Smoke‐Induced Retinal Pigment Epithelium Degeneration via Hybrid Membrane Printing Technology

The retinal pigment epithelium (RPE) not only forms the outer blood‐retinal barrier (oBRB) but also plays a multifunctional role in the ocular system. The loss of this epithelium leads to serious diseases resulting in vision impairment. No effective treatment is available for the repair of RPE damage. A functional in vitro RPE model that allows the recapitulation of oBRB‐related pathophysiological responses is lacking. Here, a hybrid membrane printing technology is developed to fabricate cellular monolayers on the basement membrane to mimic human Bruch's membrane (BM). Using this technology, in vitro oBRB model containing the RPE monolayer on the printed BM with stable mechanical properties and fibril diameter similar to that of natural BM is developed. Compared to traditional collagen bioink, BM‐based bioink significantly promotes RPE functions in vitro. Finally, smoking‐like conditions are exposed to the model to recapitulate the absorption of mainstream cigarette smoke which is known as one of the risk factors for the disease progression. RPE function is damaged due to oxidative stress. Furthermore, the versatility of the model as a drug‐testing platform is confirmed by the suppression of oxidative stress via antioxidants. This technology shows potential for fabricating a functional oBRB model that reflects patient conditions.
Assessing the Role of Social Bots During the COVID-19 Pandemic: Infodemic, Disagreement, and Criticism

Background Social media has changed the way we live and communicate, as well as offering unprecedented opportunities to improve many aspects of our lives, including health promotion and disease prevention. However, there is also a darker side to social media that is not always as evident as its possible benefits. In fact, social media has also opened the door to new social and health risks that are linked to health misinformation. Objective This study aimed to study the role of social media bots during the COVID-19 outbreak. Methods The Twitter streaming API was used to collect tweets regarding COVID-19 during the early stages of the outbreak. The Botometer tool was then used to obtain the likelihood of whether each account is a bot or not. Bot classification and topic-modeling techniques were used to interpret the Twitter conversation. Finally, the sentiment associated with the tweets was compared depending on the source of the tweet. Results Regarding the conversation topics, there were notable differences between the different accounts. The content of nonbot accounts was associated with the evolution of the pandemic, support, and advice. On the other hand, in the case of self-declared bots, the content consisted mainly of news, such as the existence of diagnostic tests, the evolution of the pandemic, and scientific findings. Finally, in the case of bots, the content was mostly political. Above all, there was a general overriding tone of criticism and disagreement. In relation to the sentiment analysis, the main differences were associated with the tone of the conversation. In the case of self-declared bots, this tended to be neutral, whereas the conversation of normal users scored positively. In contrast, bots tended to score negatively. Conclusions By classifying the accounts according to their likelihood of being bots and performing topic modeling, we were able to segment the Twitter conversation regarding COVID-19. Bot accounts tended to criticize the measures imposed to curb the pandemic, express disagreement with politicians, or question the veracity of the information shared on social media.