Miracle-dz/UniFAR-FTUs huggingface dataset:
BEST PRACTICE OF HOSPITAL MANAGEMENT STRATEGY TO THRIVE IN THE NATIONAL HEALTH INSURANCE ERA Praktik Terbaik Strategi Manajemen Rumah Sakit untuk Berkembang di Era Jaminan Kesehatan Nasional

Background: The implementation of the National Health Insurance (JKN) program has created a transformation in the health care system in Indonesia. Many hospitals were overwhelmed and unable to adapt to the new payment system. Some hospitals experienced cost losses due to INA-CBG rates which were lower than the actual rates. Aims: This study identified the best practice of hospital management strategy to thrive in the JKN era in Indonesia. Methods: This study used a qualitative design. The data collection was recorded through in-depth interviews with the Director of Dr. Iskak Tulungagung District General Hospital and the Director of An-Nisa Tangerang Hospital as best practice of hospital management in the implementation of JKN from public and private hospital, respectively. The interviews were obtained by using audio recorded and it were transcribed as a verbatim. Supporting data were obtained by reviewing the hospital documents. The data was analyzed by conducting content analysis. Results: The best practice management strategy of the two hospitals to thrive in the JKN era is increasing efficiency in operational cost through digitalization, increasing the capability of human resources, customer relationship management, developing collaborations and support from stakeholders. Conclusion: Both hospitals could survive from delay claims payment and bankruptcy by implementing strategy and innovation to adapt in the JKN era. The results of this study can be used by government-owned and private hospitals as references to improve the management strategy of hospital in Indonesia.
Outdoor Localization in Mobile Robot with 3D LiDAR Based on Principal Component Analysis and K-Nearest Neighbors Algorithm

Convolution Neural Network, IHS, KNearest Neighbors algorithm, LiDAR, Mobile robot localization, Principal Component Analysis. Localization is one of the potential challenges for a mobile robot. Due to the inaccuracy of GPS systems in determining the location of the moving robot alongside weathering effects on sensors such as RGBs (e.g. rain and light-sensitivity ( . This paper aims to improve the localization of mobile robots by combining the 3D LiDAR data with RGB-D images using deep learning algorithms. The proposed approach is to design an outdoor localization system. It is divided into three stages. The first stage is the training stage where 3D LiDAR scans the city and then reduces the dimensions of 3D LiDAR data to 2.5D image. This is based on PCA method where these data are used as training data. The second stage is the testing data stage. RGB and depth image in IHS method are combined to generate 2.5D fusion image. The training and testing of these datasets are based on using Convolution Neural Network. The third stage consists of using the K-Nearest Neighbor algorithm. This is the classification stage to get high accuracy and reduces the training time. The experimental results obtained prove the superiorly of the proposed approach with accuracy up to 97.52%, Mean Square of Error of 0.057568, and Mean error in distance equals 0.804 meters. How to cite this article: H. A. Atiyah, and M. Y. Hassan, “Outdoor Localization in Mobile Robot with 3D LiDAR-based on Principal Component Analysis and K-Nearest Neighbors algorithm,” Engineering and Technology Journal, Vol. 39, No. 06, pp. 965-976, 2021. DOI: https://doi.org/10.30684/etj.v39i6.2032 Engineering and Technology Journal Vol. 39, (2021), No. 06, Pages 965-976 966
Δ40p53 isoform up-regulates netrin-1/UNC5B expression and potentiates netrin-1 pro-oncogenic activity

Significance Netrin-1 is frequently overexpressed in aggressive cancers, acting as the antiapoptotic ligand of the dependence receptors DCC and members of the UNC5H family. Accordingly, netrin-1 inhibition induces apoptosis and tumor growth inhibition. We have previously shown that the transcription factor p53 regulates netrin-1 gene expression in cancer cells treated with conventional chemotherapeutic drugs. We show here that netrin-1 is a target gene of the N-terminal p53 isoform Δ40p53, acting independently of full-length p53 activity, thus promoting cell survival. We show that netrin-1 interference, in presence of Δ40p53, triggers apoptosis in cancer and primary cells and tumor growth inhibition in preclinical in vivo models. We propose that netrin-1 inhibition is a promising therapeutic strategy in tumors expressing high levels of Δ40p53. Netrin-1, a secreted protein recently characterized as a relevant cancer therapeutic target, is the antiapoptotic ligand of the dependence receptors deleted in colorectal carcinoma and members of the UNC5H family. Netrin-1 is overexpressed in several aggressive cancers where it promotes cancer progression by inhibiting cell death induced by its receptors. Interference of its binding to its receptors has been shown, through the development of a monoclonal neutralizing antinetrin-1 antibody (currently in phase II of clinical trial), to actively induce apoptosis and tumor growth inhibition. The transcription factor p53 was shown to positively regulate netrin-1 gene expression. We show here that netrin-1 could be a target gene of the N-terminal p53 isoform Δ40p53, independent of full-length p53 activity. Using stable cell lines, harboring wild-type or null-p53, in which Δ40p53 expression could be finely tuned, we prove that Δ40p53 binds to and activates the netrin-1 promoter. In addition, we show that forcing immortalized human skeletal myoblasts to produce the Δ40p53 isoform, instead of full-length p53, leads to the up-regulation of netrin-1 and its receptor UNC5B and promotes cell survival. Indeed, we demonstrate that netrin-1 interference, in the presence of Δ40p53, triggers apoptosis in cancer and primary cells, leading to tumor growth inhibition in preclinical in vivo models. Finally, we show a positive correlation between netrin-1 and Δ40p53 gene expression in human melanoma and colorectal cancer biopsies. Hence, we propose that inhibition of netrin-1 binding to its receptors should be a promising therapeutic strategy in human tumors expressing high levels of Δ40p53.
Botrytis cinerea alcohol dehydrogenase mediates fungal development, environmental adaptation and pathogenicity

Abstract Botrytis cinerea is an economically critical necrotrophic fungus that infecting many types of plants species. Although the lifestyle adaptations and genetic foundations of several enzymes and metabolites involved in B. cinerea virulence during host plant infection are well studied, the role of B. cinerea alcohol dehydrogenase (ADH) enzymes in these processes is poorly understood. Herein, we identified a significant up-regulation of the transcriptional levels of the BcADH1 gene during the tomato – B. cinerea strain B0510 interaction and at the early stage of infection. Substantially, we used a recent approach for replacement of gene by utilizing homologous recombination to generate knock-out mutants (Δbcadh1) and their effective complementary strains (Δbcadh1/C). A strong difference in the morphology of Δbcadh1 mutants from the wild type (WT) was detected, with respect to the conidiospore, conidial germination, and formation of branches, sporulation and sclerotia. In addition, the Δbcadh1 mutants showed significant differences in their virulence on tomato leaves relative to the WT. Moreover, the Δbcadh1 mutants appeared to have higher sensitivity to oxygen limitation (hypoxia) and reactive oxygen species, and had lost their ability of alcoholic fermentation compared with the WT and complementary strains. These results provide strong evidence for the requirement of the ADH1 gene for fungal development, environmental adaptation and its ability for full pathogenicity. Communicated by Ramaswamy H. Sarma
The hand‐brain‐heart connection: ICU nurses' experience of managing patient safety during COVID‐19

Abstract Background COVID‐19 has challenged critical care nursing through increased critical care service utilization. This may have a profound impact on intensive care unit (ICU) nurses' ability to maintain patient safety. However, the experiences of ICU nurses in managing patient safety during an infectious disease outbreak remains unexplored. Aims and objectives To explore ICU nurses' narratives in managing patient safety in the outbreak ICUs during the COVID‐19 pandemic. Design A narrative inquiry design. Methods A purposive sample of 18 registered nurses who practiced in the outbreak ICUs during the COVID‐19 pandemic were recruited between June and August 2020. Individual semi‐structured interviews were conducted, transcribed verbatim, and narratively analysed. Results Findings reviewed an overarching anatomy‐specific storyline of a ‘hand‐brain‐heart’ connection that describes nurses' experience with managing patient safety during the COVID‐19 pandemic. Firstly, stories on ‘the hands of clinical practice’ revealed how critical care nursing is practiced and adapted by ICU nurses during the pandemic. In particular, ICU nurses banded together to safeguard patient safety by practicing critical care nursing with mastery. Secondly, stories on ‘the brain of psychosocial wellness’ highlights the tumultuous impact of COVID‐19 on the nurses' psychosocial well‐being and how nurses demonstrated resilience to continually uphold patient safety during the pandemic. Lastly, stories on ‘the heart of nursing’ drew upon the nurses' intrinsic professional nursing identity and values to safeguard patient safety. Specific patient tales further boosted the nurses' commitment to render safe nursing care during the pandemic. Conclusions Through their stories, ICU nurses reported how they continually seek to uphold patient safety through clinical competence, resilience, and heightened nursing identity. Relevance to clinical practice ICU nurses require sustainable clinical resources and references such as clinical instructors, as well as visible psychosocial support channels, for ICU nurses to continue to uphold patient safety during COVID‐19.
Relationship between Poor Sleep Quality and High White Blood Cell Count in Korean Adults

Chronic low-grade inflammation has emerged as a central biological condition underlying the development of numerous medical disorders, including diabetes mellitus, cardiovascular diseases, neurodegenerative diseases, psychiatric disorders, and certain cancers [1,2]. Subclinical inflammation has also been associated with increased mortality [3]. The link between chronic low-grade inflammation and mortality-causing diseases indicates that the prevention of chronic low-grade inflammation is important from a public health perspective. Sleep is a crucial factor that contributes to physical and mental health [4,5]. In addition, several studies have suggested that sleep quality can affect subclinical inflammation [6,7]. Although the exact mechanism between sleep and chronic low-grade inflammation is not fully understood, previous studies have shown that Relationship between Poor Sleep Quality and High White Blood Cell Count in Korean Adults
Mitigating power quality disturbances in smart grid using FACTS

Yahia M. Esmail, Ali H. Kasem Alaboudy, M. S. Hassan, Gamal M. Dousoky Ministry of Power and Electricity, Cairo, Egypt Department of Electrical Engineering, Faculty of Engineering, Minia University, Minia, Egypt Department of Electrical, Faculty of Technology and Education, Suez University, Suez, Egypt Department of Electrical and Electronic Engineering, Kyushu University, Fukuoka, Japan Department of Communications and Computer Engineering, Nahda University, Beni Suef, Egypt
Draft Genome Sequence of Enterobacter asburiae NCR1, a Plant Growth-Promoting Rhizobacterium Isolated from a Cadmium-Contaminated Environment

Enterobacter asburiae NCR1 is a plant growth-promoting rhizobacterium isolated from the rhizosphere of Carpobrotus rossii. We report the draft genome sequence of E. asburiae strain NCR1, which revealed many genes facilitating beneficial interactions with plant hosts. ABSTRACT Enterobacter asburiae NCR1 is a plant growth-promoting rhizobacterium isolated from the rhizosphere of Carpobrotus rossii. We report the draft genome sequence of E. asburiae strain NCR1, which revealed many genes facilitating beneficial interactions with plant hosts.
Novel Mouse Models of Bladder Cancer Identify a Prognostic Signature Associated with Risk of Disease Progression

Analysis of bladder cancer progression in a new series of genetically engineered mouse models has identified a gene signature of poor prognosis in human bladder cancer. To study the progression of bladder cancer from non–muscle-invasive to muscle-invasive disease, we have developed a novel toolkit that uses complementary approaches to achieve gene recombination in specific cell populations in the bladder urothelium in vivo, thereby allowing us to generate a new series of genetically engineered mouse models (GEMM) of bladder cancer. One method is based on the delivery of adenoviruses that express Cre recombinase in selected cell types in the urothelium, and a second uses transgenic drivers in which activation of inducible Cre alleles can be limited to the bladder urothelium by intravesicular delivery of tamoxifen. Using both approaches, targeted deletion of the Pten and p53 tumor suppressor genes specifically in basal urothelial cells gave rise to muscle-invasive bladder tumors. Furthermore, preinvasive lesions arising in basal cells displayed upregulation of molecular pathways related to bladder tumorigenesis, including proinflammatory pathways. Cross-species analyses comparing a mouse gene signature of early bladder cancer with a human signature of bladder cancer progression identified a conserved 28-gene signature of early bladder cancer that is associated with poor prognosis for human bladder cancer and that outperforms comparable gene signatures. These findings demonstrate the relevance of these GEMMs for studying the biology of human bladder cancer and introduce a prognostic gene signature that may help to stratify patients at risk for progression to potentially lethal muscle-invasive disease. Significance: Analyses of bladder cancer progression in a new series of genetically engineered mouse models has identified a gene signature of poor prognosis in human bladder cancer.
If you want to develop an effective autism training, ask autistic students to help you

Autistic university students face stigma. Online trainings have been used to improve explicit autism stigma (social distance) and knowledge among university students in different countries. However, autistic university students have not typically been involved in developing such trainings. We developed two autism trainings: a participatory training (developed in collaboration with autistic university students) and a non-participatory training. We evaluated these trainings with undergraduate students in the United States and Lebanon. A pilot study revealed improvements in implicit biases (measured with an Implicit Association Test) and knowledge following both trainings, but no clear benefit of the participatory training in particular. Feedback revealed that participants found the Implicit Association Test tedious, suggesting that it might have dampened effects by boring participants. To increase engagement, we removed the Implicit Association Test and conducted a cross-university training comparison which revealed evidence that the participatory training was more effective than the non-participatory training at improving autism knowledge, explicit stigma, and attitudes toward inclusion. Autistic co-authors coded participant feedback and identified three key themes to guide future training development and adaptation: an (inter)personal element, accessibility, and clarity of information. These studies provide empirical support for the oft-cited, but rarely directed tested, benefits of involving autistic people in research about autism. Lay abstract Autistic university students are often left out because people do not understand autism. We wanted to help people understand autism. Most autism trainings are not made by autistic people. Autistic people know what it is like to be autistic. So autistic people may be the best teachers when it comes to teaching about autism. Autistic students and non-autistic professors made an autism training. The students made videos for the training. They also helped make questions to see what people learned from the trainings. Professors who are not autistic made a training on their own. Students in New York City tried out the trainings. After they answered questions, they did either the training the autistic students helped make or the training made by only professors. Then, they answered questions again. We learned from the students how to make our trainings better. Then, students from two universities in the United States and one university in Lebanon did our trainings and questions. Both trainings made hidden feelings about autism better. The training autistic students helped make taught students more than the training professors made on their own. The autistic-led training also helped students accept autism more. These studies show that autistic students can make autism research and trainings better. At the end of this article, autistic students share their ideas for how to make autism trainings even better in the future.
Kpna6 deficiency causes infertility in male mice by disrupting spermatogenesis

ABSTRACT Spermatogenesis is driven by an ordered series of events, which rely on trafficking of specific proteins between nucleus and cytoplasm. The karyopherin α family of proteins mediates movement of specific cargo proteins when bound to karyopherin β. Karyopherin α genes have distinct expression patterns in mouse testis, implying they may have unique roles during mammalian spermatogenesis. Here, we use a loss-of-function approach to determine specifically the role of Kpna6 in spermatogenesis and male fertility. We show that ablation of Kpna6 in male mice leads to infertility and has multiple cumulative effects on both germ cells and Sertoli cells. Kpna6-deficient mice exhibit impaired Sertoli cell function, including loss of Sertoli cells and a compromised nuclear localization of the androgen receptor. Furthermore, our data demonstrate devastating defects on spermiogenesis, including incomplete sperm maturation and a massive reduction in sperm number, accompanied by disturbed histone-protamine exchange, differential localization of the transcriptional regulator BRWD1 and altered expression of RFX2 target genes. Our work uncovers an essential role of Kpna6 in spermatogenesis and, hence, in male fertility.
Structural mechanism of TRPV3 channel inhibition by the plant‐derived coumarin osthole

TRPV3, a representative of the vanilloid subfamily of TRP channels, is predominantly expressed in skin keratinocytes and has been implicated in cutaneous sensation and associated with numerous skin pathologies and cancers. TRPV3 is inhibited by the natural coumarin derivative osthole, an active ingredient of Cnidium monnieri, which has been used in traditional Chinese medicine for the treatment of a variety of human diseases. However, the structural basis of channel inhibition by osthole has remained elusive. Here we present cryo‐EM structures of TRPV3 in complex with osthole, revealing two types of osthole binding sites in the transmembrane region of TRPV3 that coincide with the binding sites of agonist 2‐APB. Osthole binding converts the channel pore into a previously unidentified conformation with a widely open selectivity filter and closed intracellular gate. Our structures provide insight into competitive inhibition of TRPV3 by osthole and can serve as a template for the design of osthole chemistry‐inspired drugs targeting TRPV3‐associated diseases.
G-Quadruplex Assembly by Ribosomal DNA: Emerging Roles in Disease Pathogenesis and Cancer Biology

Unique repetitive elements of the eukaryotic genome can be problematic for cellular DNA replication and transcription and pose a source of genomic instability. Human ribosomal DNA (rDNA) exists as repeating units clustered together on several chromosomes. Understanding the molecular mechanisms whereby rDNA interferes with normal genome homeostasis is the subject of this review. We discuss the instability of rDNA as a driver of senescence and the important roles of helicases to suppress its deleterious effects. The propensity of rDNA that is rich in guanine bases to form G-quadruplexes (G4) is discussed and evaluated in disease pathogenesis. Targeting G4 in the ribosomes and other chromosomal loci may represent a useful synthetic lethal approach to combating cancer.
SET analysis and radiation hardening techniques for CMOS LNA topologies

This paper analyses the effects of single-event transients (SETs) on CMOS low noise amplifiers (LNA) designed for a 0.18 μ m technology. Two well-known topologies, the common-source and common-gate cascodes, have been analysed when heavy ions strike the most sensitive nodes of these structures. In order to simulate these strikes both a physics-based technology computer aided design (TCAD) tool and an electrical circuit domain simulator have been used. This way the physics information given by the TCAD tool is combined with the fast transient simulations performed in circuit simulators. To study their SET performance, the maximum voltage peak and the recovery time of the output signal were calculated for both LNAs. Additionally, a safe operating area can be defined, setting the boundaries for acceptable SETs. Radiation hardening by design techniques have been applied at the most vulnerable nodes of both LNAs. The proposed mitigation approaches make both LNAs hardened against radiation, considerably improving their SET performance.
Inhibition of pre-mRNA splicing by small molecules.

ii Table of contents iv List of Tables vi List of Figures vii Acknowledgments viii CHAPTER 1 Introduction 1.1 Pre-mRNA Splicing An Overview 1 1.1.1 Yeast as a Model Organism 3 1.1.2 Mechanism of Pre-mRNA Splicing 3 1.1.3 The Spliceosome 4 1.1.4 Splicing Related Diseases 6 1.1.4.1 Cis and Trans Acting Mutations 7 1.2 Small Molecule Inhibitors of Ribozymes and Mammalian Splicing 8 1.2.1 Ribozyme Inhibitors 9 1.2.1.1 Self-Cleaving Hammerhead and Hairpin Ribozymes 9 1.2.1.2 Self-Splicing Group I and II Intron Ribozymes 11 1.2.1.3 The Human Hepatitis Delta Virus and HIV-1 Ribozymes 12 1.2.1.4 tRNA Processing RNase P Ribozymes 13 1.2.1.5 Riboswitches 14 1.2.2 Mammalian Splicing Inhibitors 15 1.2.2.1 Peptide Kinase Inhibitors 15 1.2.2. 2 Synthetic Branched Nucleic Acid Inhibitors 16 1.2.2.3 Antibiotic Inhibitors 17 1.3 Potential Inhibitory Splicing Candidates 18 1.3. 1 Antibiotics 18 1.3. 1.1 Aminoglycosides 20 1.3. 2 Oxospiro-Compounds from the Manumycin Family 21 1.3. 3 Environmental Toxicants 22 1.3. 4 Kinase Inhibitors 23 1.4 Concluding Remarks and Research Objective 24
REAL-TIME SEMANTIC SLAM WITH DCNN-BASED FEATURE POINT DETECTION, MATCHING AND DENSE POINT CLOUD AGGREGATION

In this paper we present the semantic SLAM method based on a bundle of deep convolutional neural networks. It provides real-time dense semantic scene reconstruction for the autonomous driving system of an off-road robotic vehicle. Most state-of-the-art neural networks require large computing resources that go beyond the capabilities of many robotic platforms. We propose an architecture for 3D semantic scene reconstruction on top of the recent progress in computer vision by integrating SuperPoint, SuperGlue, Bi3D, DeepLabV3+, RTM3D and additional module with pre-processing, inference and postprocessing operations performed on GPU. We also updated our simulated dataset for semantic segmentation and added disparity images.