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In this article, a machine learning aided electronic warfare (EW) system is presented and the simulation results are discussed. The developed EW system uses an automatic decision tree generator to create engagement protocol and a fuzzy logic model to quantify threat levels. A long-short term memory (LSTM) neural network was also trained to predict the next signal set of multifunction radars. The simulation results demonstrate the effectiveness of the developed EW system’s ability to engage multiple multifunction radars.

Based on data obtained from SPAN-PTKIN registrants in 2018 and 2019, the number of interested people through the invitation path who chose the study program at UIN Alauddin as the first choice was 30523 records. Analysis using the ID3 algorithm found that those who interested in the study of religions were more dominant from vocational students. While analysis using the K-Means shows the regions / regencies from which those interested in study programs of religions are spread in 35 regencies / cities. It can be concluded that the socialization of study programs of religions through the invitation path is recommended to be more focused on SMAs that are located in 33 districts / cities as identified in cluster 3. The study programs of religions are prioritized, because these study programs experienced the lowest number of registrants. It is expected that by implementing this recommended strategy, the number of interested prospective new students will draw a significant increase in the future.

Myoblast differentiation is an ordered multistep process that includes withdrawal from the cell cycle, elongation, and fusion to form multinucleated myotubes. Id3, a member of the Id family, plays a crucial role in cell cycle exit and differentiation. However, in muscle cells after differentiation induction, the detailed mechanisms that diminish Id3 function and cause the cells to withdraw from the cell cycle are unknown. Induction of myoblast differentiation resulted in decreased expression of Id3 and increased expression of XBP1u, and XBP1u accelerated proteasomal degradation of Id3 in C2C12 cells. The expression levels of the cyclin-dependent kinase inhibitors p21, p27, and p57 were not increased after differentiation induction of XBP1-knockdown C2C12 cells. Moreover, knockdown of Id3 rescued myogenic differentiation of XBP1-knockdown C2C12 cells. Taken together, these findings provide evidence that XBP1u regulates cell cycle exit after myogenic differentiation induction through interactions with Id3. To the best of our knowledge, this is the first report of the involvement of XBP1u in myoblast differentiation. These results indicate that XBP1u may act as a "regulator" of myoblast differentiation under various physiological conditions. [ABSTRACT FROM AUTHOR]

Antibody-mediated cancer immunotherapy targets inhibitory surface molecules, such as PD1, PD-L1, and CTLA-4, aiming to re-invigorate dysfunctional T cells. We purified and characterized tumorinfiltrating lymphocytes (TILs) and their patient-matched non-tumor counterparts from treatmentnaïve NSCLC patient biopsies to evaluate the effect of PD1 expression on the functional and molecular profiles of tumor-resident T cells. We show that PD1+ CD8+ TILs have elevated expression of the transcriptional regulator ID3 and that the cytotoxic potential of CD8 T cells can be improved by knocking down ID3, defining it as a potential regulator of T cell effector function. PD1+ CD4 + memory TILs display transcriptional patterns consistent with both helper and regulator function, but can robustly facilitate B cell activation and expansion. Furthermore, we show that expanding ex vivo-prepared TILs in vitro broadly preserves their functionality with respect to tumor cell killing, B cell help, and TCR repertoire. Although purified PD1+ CD8+ TILs generally maintain an exhausted phenotype upon expansion in vitro, transcriptional analysis reveals a downregulation of markers of T-cell dysfunction, including the co-inhibitory molecules PD1 and CTLA-4 and transcription factors ID3, TOX and TOX2, while genes involved in cell cycle and DNA repair are upregulated. We find reduced expression of WNT signaling components to be a hallmark of PD1+ CD8+ exhausted T cells in vivo and in vitro and demonstrate that restoring WNT signaling, by pharmacological blockade of GSK3β, can improve effector function. These data unveil novel targets for tumor immunotherapy and have promising implications for the development of a personalized TIL-based cell therapy for lung cancer. [ABSTRACT FROM AUTHOR]

Myoblast differentiation is an ordered multistep process that includes withdrawal from the cell cycle, elongation, and fusion to form multinucleated myotubes. Id3, a member of the Id family, plays a crucial role in cell cycle exit and differentiation. However, in muscle cells after differentiation induction, the detailed mechanisms that diminish Id3 function and cause the cells to withdraw from the cell cycle are unknown. Induction of myoblast differentiation resulted in decreased expression of Id3 and increased expression of XBP1u, and XBP1u accelerated proteasomal degradation of Id3 in C2C12 cells. The expression levels of the cyclin-dependent kinase inhibitors p21, p27, and p57 were not increased after differentiation induction of XBP1-knockdown C2C12 cells. Moreover, knockdown of Id3 rescued myogenic differentiation of XBP1-knockdown C2C12 cells. Taken together, these findings provide evidence that XBP1u regulates cell cycle exit after myogenic differentiation induction through interactions with Id3. To the best of our knowledge, this is the first report of the involvement of XBP1u in myoblast differentiation. These results indicate that XBP1u may act as a “regulator” of myoblast differentiation under various physiological conditions.

Background: During pregnancy, trophoblast cell invasion needs to be finely controlled. Aberrant trophoblast cell invasion is associated with placental diseases. Epidermal growth factor (EGF) and its receptor, EGFR, are expressed in trophoblast cells. Although the pro-invasive effect of EGF on trophoblast cells has been reported, the underlying mechanism remains largely unknown. Results: In the present study, we conducted an RNA sequencing (RNA-seq) to HTR-8/SVneo human trophoblast cells in response to EGF and identified KISS1 as a target gene of EGF. The human KISS1 gene encodes kisspeptin, also known as metastin, which can suppress tumor metastasis. Our results showed that EGF treatment downregulated KISS1 expression and secretion by activating the EGFR-mediated PI3K/AKT signaling pathway. In addition, the expression of inhibitor of DNA-binding protein 3 (ID3) was downregulated by EGF and that was required for the EGF-suppressed KISS1 expression. Functionally, transwell invasion assays demonstrated that EGF stimulated human trophoblast cell invasion by downregulating KISS1 expression. Preeclampsia (PE) is a placental disease characterized by insufficient trophoblast cell invasion. Our clinical results revealed that serum levels of EGF were downregulated while serum and placental levels of KISS1 were upregulated in PE patients. Conclusions: This study demonstrates that downregulation of EGF can lead to poor trophoblast cell invasion by increasing KISS1 expression which subsequently contributes to the pathogenesis of PE. 3yX-DcuH29NawtDrdPoN74 Video Abstract [ABSTRACT FROM AUTHOR]

Introduction: The human chorionic gonadotropin (hCG) is a dimer consisting of an α subunit and a β subunit which is encoded by the CGB gene and is unique to hCG. hCG is a hormone mainly synthesized by syncytiotrophoblast cells in the placenta, plays a critical role in stimulating progesterone production that is necessary for maintaining normal pregnancy in the early stage. Epidermal growth factor receptor (EGFR) belongs to the receptor tyrosine kinase family which has been shown to regulate various physiological and pathological events. In human chorionic villi and amniotic fluid, amphiregulin (AREG) is reported to be the most abundant EGFR ligand and can stimulate hCG expression. However, the underlying mechanism remains unknown.Methods: We use BeWo cells, the commonly used cell model for the hCG production of trophoblast cells, as an in vitro model. The effects of AREG on CGB expression and hCG secretion as well as the underlying mechanisms were explored by a series of in vitro experiments.Results: We show that treatment with AREG stimulates CGB expression and hCG secretion. Using pharmacological inhibitors, we show that the stimulatory effects of AREG on CGB expression and hCG secretion are mediated by the EGFR-activated ERK1/2 signaling pathways. In addition, the expression of inhibitor of DNA-binding protein 3 (ID3) is upregulated by AREG. Knockdown of ID3 attenuates the AREG-induced upregulation of CGB expression and hCG secretion.Discussion: This study provides important insights into the molecular mechanisms that mediate AREG-induced upregulation of hCG production in human trophoblast cells which may lead to the development of alternative therapeutic approaches for the treatment of placental diseases. [ABSTRACT FROM AUTHOR]

Damage to intestinal epithelial cell proliferation or intestinal stem cell (ISC) maintenance may trigger inflammatory bowel disease (IBD), and protecting the ISCs is critical for IBD treatment. Here, we found that in the dextran sulfate sodium (DSS)-induced ulcerative colitis mice model, colon epithelium and Lgr5+ intestinal stem cells (ISCs) renew quickly during the first 3 days. We also found that during this renewing period, SMAD4 and bone morphogenetic protein 4 (BMP4) expression were significantly upregulated. An extra BMP4 treatment could preserve the Lgr5+ ISCs and the colon epithelium turnover, and could significantly decrease colon mucosal damage. Moreover, we found that BMP4 regulated ID3 expression in the colon epithelium. Depletion of ID3 could significantly reduce the epithelium renewal and ratio of Lgr5+ ISCs at the base of crypts. In conclusion, the present study showed that BMP4 could maintain epithelium cellular proliferation and the ISCs function through ID3 in mice with DSS-induced colitis. The administration of exogenous BMP4 supplement could alleviate DSS-induced colitis by restoring epithelium cellular proliferation and ISC function, suggesting the possible therapeutic function of BMP4 for ulcerative colitis.

The tumor suppressor p53 prevents cancer development by regulating dozens of target genes with diverse biological functions. Although numerous p53 target genes have been identified to date, the dynamics and function of the regulatory network centered on p53 have not yet been fully elucidated. We herein identified inhibitor of DNA-binding/differentiation-3 (ID3) as a direct p53 target gene. p53 bound the distal promoter of ID3 and positively regulated its transcription. ID3 expression was significantly decreased in clinical lung cancer tissues, and was closely associated with overall survival outcomes in these patients. Functionally, ID3 deficiency promoted the metastatic ability of lung cancer cells through its effects on the transcriptional regulation of CDH1. Furthermore, the ectopic expression of ID3 in p53-knockdown cells restored E-cadherin expression. Collectively, the present results demonstrate that ID3 plays a tumor-suppressive role as a downstream effector of p53 and impedes lung cancer cell metastasis by regulating E-cadherin expression. • ID3 is a direct p53 target gene. • ID3 expression was significantly decreased in clinical lung cancer tissues. • ID3 expression was closely associated with overall survival outcomes in lung cancer patients. • Loss of ID3 reduced E-cadherin expression in A549 cells. • ID3 deficiency promoted the metastatic ability of A549 cells. [ABSTRACT FROM AUTHOR]

Prestasi akademis merupakan hasil dari proses pembelajaran yang dilakukan selama semester- semester yang telah berlangsung, yang diukur dari nilai dan indeks prestasi kumulatif. Dimana FTI-UKSW memiliki jumlah mahasiswa yang banyak sehingga perlu untuk melihat prestasi mahasiswanya. Dengan melakukan prediksi keberhasilan studi dapat dilihat tingkat mahasiswa yang berprestasi dan faktor-faktor yang dapat menjadi indikator dalam penentuan keberhasilan studi tersebut. Data yang digunakan dalam penelitian ini menggunakan data yang diterima dari Biro Administrasi dan Registrasi Akademik (BARA), yaitu data admisi/rapot SLTA, dan data mahasiswa aktif yaitu mahasiswa yang berstatus kuliah. Dengan menggunakan spreadsheet sebagai alat bantu untuk melakukan pengolahan data yang menerapkan rumusan metode ID3. Dengan menggunakan metode ID3 dapat membantu membuat suatu keputusan yang berbentuk diagram pohon keputusan yang melalui indikator-indikator, dan persentase dari masing-masing indikator. Hasil dari penelitian analisis ini nantinya dapat digunakan untuk mengetahui dari ketiga indikator, mana yang menjadi komponen utama dalam menentukan apakah mahasiswa tersebut berprestasi.

Inhibitors of DNA (Id) are key transcription factors (TFs) regulating neurogenic processes. They belong to the helix‐loop‐helix (HLH) TF family and are dominant negative regulators of basic HLH proteins (bHLHs). Specifically, they inhibit cell differentiation and enhance cell proliferation and motility. The Id family includes four members, Id1, Id2, Id3, and Id4, which have been identified in nearly all vertebrates. The transcript catalog of the African turquoise killifish, Nothobranchius furzeri, contains all four TFs and has evolved showing positive selection for Id3. N. furzeri, a teleost, is the short‐lived vertebrate and is gaining increasing scientific interest as a new model organism in aging research. It is characterized by embryonic diapause, explosive sexual maturation, and rapid aging. In this study, we investigated both the expression and the role of Id3 in the brain of this model organism. Interestingly, Id3 was upregulated age‐dependently along with a distribution pattern resembling that of other vertebrates. Additionally, the gene has undergone positive selection during evolution and shows a high degree of conservation relative to that of other vertebrates. These features make N. furzeri a valid tool for aging studies and a potential model in translational research. [ABSTRACT FROM AUTHOR]

• Increased circ-SKA3 expression is shown in MB tissues and cells. • Silencing circ-SKA3 blocks MB cell malignant behaviors in vitro and tumor growth in vivo. • MiR-326 is targeted by circ-SKA3, and miR-326 binds to ID3. • Circ-SKA3 increases ID3 expression by decoying miR-326 to aggravate the development of MB. Medulloblastoma (MB), the most common malignant childhood brain tumor, is a serious threat to life. Circular RNA (circRNA) is involved in the development of various cancers, including MB. We aimed to explore the role of circRNA spindle and kinetochore associated complex subunit 3 (circ-SKA3) in MB progression. Circ-SKA3 expression was elevated in MB tissues and cells. Depleted expression of circ-SKA3 inhibited MB cell proliferation, migration and invasion and induced apoptosis and cell cycle arrest, and circ-SKA3 knockdown inhibited MB growth in vivo. Mechanism analyses revealed that circ-SKA3 directly targeted miR-326 that could bind to ID3, and circ-SKA3 decoyed miR-326 to increasing ID3 expression. Rescue experiments showed that miR-326 inhibition reversed the effects of circ-SKA3 knockdown, and ID3 overexpression recovered MB cell proliferation, migration and invasion blocked by miR-326 restoration. In conclusion, circ-SKA3 functioned as an oncogene to promote the development of MB by increasing ID3 expression via decoying miR-326, hinting that circ-SKA3 might be a therapeutic target of MB. [ABSTRACT FROM AUTHOR]

Bone morphogenetic protein (BMP) signaling has been shown to be intimately associated with adult neurogenesis in the subventricular zone (SVZ) and subgranular zone (SGZ). Adult neurogenesis declines in aging rodents and primates. However, the role of BMP signaling in the age-related neurogenesis decline remains elusive and the effect of BMP4 on adult SVZ neurogenesis remains controversial. Here, the expression of BMP4 and its canonical effector phosphorylated-Smad1/5/8 (p-Smad1/5/8) in the murine SVZ and SGZ were found to be increased markedly with age. We identified Id3 as a major target of BMP4 in neuronal stem cells (NSCs) of both neurogenic regions, which exhibited a similar increase during aging. Intracerebroventricular infusion of BMP4 activated Smad1/5/8 phosphorylation and upregulated Id3 expression, which further restrained NeuroD1, leading to attenuated neurogenesis in both neurogenic regions and defective differentiation in the SGZ. Conversely, noggin, a potent inhibitor of BMP4, demonstrated opposing effects. In support of this, BMP4 treatment or lentiviral overexpression of Id3 resulted in decreased NeuroD1 protein levels in NSCs of both neurogenic regions and significantly inhibited neurogenesis. Thus, our findings revealed that the increased BMP4 signaling with age inhibited adult neurogenesis in both SVZ and SGZ, which may be attributed at least in part, to the changes in the Id3-NeuroD1 axis.

Somatic mutations are major genetic contributors to cancers and many other age-related diseases. Many disease-causing somatic mutations can initiate clonal growth prior to the appearance of any disease symptoms, yet experimental models that can be used to examine clonal abnormalities are limited. We describe a mosaic analysis system with Cre or Tomato (MASCOT) for tracking mutant cells and demonstrate its utility for modeling clonal hematopoiesis. MASCOT can be induced to constitutively express either Cre-GFP or Tomato for lineage tracing of a mutant and a reference group of cells simultaneously. We conducted mosaic analysis to assess functions of the Id3 and/or Tet2 gene in hematopoietic cell development and clonal hematopoiesis. Using Tomato-positive cells as a reference population, we demonstrated the high sensitivity of this system for detecting cell-intrinsic phenotypes during short-term or long-term tracking of hematopoietic cells. Long-term tracking of Tet2 mutant or Tet2/Id3 double-mutant cells in our MASCOT model revealed a dynamic shift from myeloid expansion to lymphoid expansion and subsequent development of lymphoma. This work demonstrates the utility of the MASCOT method in mosaic analysis of single or combined mutations, making the system suitable for modeling somatic mutations identified in humans. [ABSTRACT FROM AUTHOR]

Intestinal stem cell (ISC) plasticity is thought to be regulated by broadly permissive chromatin shared between ISCs and their progeny. Here, we have used a Sox9EGFP reporter to examine chromatin across ISC differentiation. We find that open chromatin regions (OCRs) can be defined as broadly permissive or dynamic in a locus-specific manner, with dynamic OCRs found primarily in loci consistent with distal enhancers. By integrating gene expression with chromatin accessibility at transcription factor (TF)motifs in the context ofSox9EGFP populations, we classify broadly permissive and dynamic chromatin relative to TF usage. These analyses identify known and potential regulators of ISC differentiation via association with dynamic changes in chromatin. Consistent with computational predictions, Id3-null mice exhibit increased numbers of cells expressing the ISC-specific biomarker OLFM4. Finally, we examine the relationship between gene expression and 5-hydroxymethylcytosine (5hmC) in Sox9EGFP populations, which reveals 5hmC enrichment in absorptive lineage-specific genes. Our data demonstrate that intestinal chromatin dynamics can be quantitatively defined in a locus-specificmanner, identify novel potential regulators of ISC differentiation and provide a chromatin roadmap for further dissecting cis regulation of cell fate in the intestine. [ABSTRACT FROM AUTHOR]

The classification of stream waters using parameters such as fecal coliforms into the classes of body contact and recreation, fishing and boating, domestic utilization, and danger itself is a significant practical problem of water quality prediction worldwide. Various statistical and causal approaches are used routinely to solve the problem from a causal modeling perspective. However, a transparent process in the form of Decision Trees is used to shed more light on the structure of input variables such as climate and land use in predicting the stream water quality in the current paper. The Decision Tree algorithms such as classification and regression tree (CART), iterative dichotomiser (ID3), random forest (RF), and ensemble methods such as bagging and boosting are applied to predict and classify the unknown stream water quality behavior from the input variables. The variants of bagging and boosting have also been looked at for more effective modeling results. Although the Random Forest, Gradient Boosting, and Extremely Randomized Tree models have been found to yield consistent classification results, DTs with Adaptive Boosting and Bagging gave the best testing accuracies out of all the attempted modeling approaches for the classification of Fecal Coliforms in the Upper Green River watershed, Kentucky, USA. Separately, a discussion of the Decision Support System (DSS) that uses Decision Tree Classifier (DTC) is provided.

Pada penelitian ini kami mengimplementasikan algoritma klasifikasi untuk memberikan rekomendasi kepada mahasiswa keminatan apa yang lebih cocok diambil berdasarkan nilai-nilai mata kuliah prasyarat di semester-semester sebelumnya. Diharapkan dengan adanya rekomendasi ini semakin jelas pembatas antara disiplin ilmu yang ada pada Program Studi Sistem Informasi Universitas Brawijaya dimana terdapat 3 jenis jalur keminatan mata kuliah pilihan yaitu Database, Logika & pemrograman dan Manajemen SI/TI. Data set yang terdiri dari data training dan data testing merupakan data akademik dari mahasiswa angkatan 2015 yang sudah mengambil mata kuliah pilihan, data target dari penelitian ini adalah data akademik mahasiswa angkatan 2016. Algoritma klasifikasi yang digunakan adalah Rule Induction, CHAID, Random Forest, ID3, dan Naive Bayes. Komposisi dari data training dan testing diubah-ubah untuk mengetahui pengaruh perubahan komposisi tersebut. Kelima algoritma tersebut diuji sebanyak 5 kali. Dari seluruh hasil pengujian didapatkan rata-rata akurasi dari kelima metode yang diusulkan berturut-turut adalah 66,48%, 67,49%, 80,62%, 86,90% dan 77,68%. Hasil tersebut menunjukkan bahwa algoritma dengan rata-rata akurasi tertinggi dimiliki oleh algoritma ID3 dikarenakan algoritmanya yang fleksibel dan dapat lebih akurat untuk menguji data yang digunakan.

La clasificación es una de las tareas más utilizadas de la minería de datos. Dentro de ella existen numerosos algoritmos como las redes neuronales, k vecinos más cercanos, clasificadores bayesianos entre otros. Uno de los más utilizados son los árboles de decisión, debido a su fácil comprensión de estructura jerárquica. Existen numerosos algoritmos generadores de árboles de decisión como el ID3, C4.5 y los CART. En este trabajo proponemos una variante del algoritmo ID3 que se basa en la selección aleatoria del criterio de división de los datos.

Background: Ischemic stroke (IS) is a fearful disease that can cause a variety of immune events. Nevertheless, precise immune-related mechanisms have yet to be systematically elucidated. This study aimed to identify immune-related signatures using machine learning and to validate them with animal experiments and single cell analysis., Methods: In this study, we screened 24 differentially expressed genes (DEGs) while identifying immune-related signatures that may play a key role in IS development through a comprehensive strategy between least absolute shrinkage and selection operation (LASSO) regression, support vector machine (SVM) and immune-related genes. In addition, we explored immune infiltration using the CIBERSORT algorithm. Finally, we performed validation in mouse brain tissue and single cell analysis., Results: We identified 24 DEGs for follow-up analysis. ID3 and SLC22A4 were finally identified as the better immune-related signatures through a comprehensive strategy among DEGs, LASSO, SVM and immune-related genes. RT-qPCR, western blot, and immunofluorescence revealed a significant decrease in ID3 and a significant increase in SLC22A4 in the middle cerebral artery occlusion group. Single cell analysis revealed that ID3 was mainly concentrated in endothelial_2 cells and SLC22A4 in astrocytes in the MCAO group. A CIBERSORT finds significantly altered levels of immune infiltration in IS patients., Conclusions: This study focused on immune-related signatures after stroke and ID3 and SLC22A4 may be new therapeutic targets to promote functional recovery after stroke. Furthermore, the association of ID3 and SLC22A4 with immune cells may be a new direction for post-stroke immunotherapy.

In the mammalian ovary, matrix metalloproteinase‐1 (MMP1) is expressed in growing ovarian follicles, and MMP1‐mediated extracellular matrix (ECM) remodeling plays a functional role in regulating the formation of corpus luteum. Transforming growth factor‐β1 (TGF‐β1) is an intraovarian growth factor that acts as a negative regulator of luteinization and progesterone production in human granulosa‐lutein (hGL) cells. At present, whether TGF‐β1 regulates the expression of MMP1 and thus affects ECM remodeling during corpus luteum formation remains largely unknown. The aim of this study was to investigate the effects of TGF‐β1 and the molecular mechanisms by which it regulates the expression of MMP1 in immortalized human granulosa cells lines (SVOG) and primary hGL cells (obtained from consenting patients undergoing IVF treatment). We used inhibition approaches including a competitive antagonist for endogenous TGF‐β type II receptor, pharmacological inhibitors (SB431542 and dorsomorphin), and specific small interfering RNA‐targeted knockdown of ALK5 type I receptor and SMAD4 to demonstrate that TGF‐β1 downregulates the expression and production of MMP1 via a TβRII/ALK5‐mediated SMAD‐dependent signaling pathway in hGL cells. Additionally, our results show that the suppressive effect of TGF‐β1 on the expression of MMP1 is mediated by a transcription factor, the inhibitor of differentiation 3 (ID3) protein. Our findings provide insights into the molecular interactions and mechanisms of TGF‐β1 and ID3 during the regulation of MMP1 in hGL cells. [ABSTRACT FROM AUTHOR]

Neointimal hyperplasia resulting from pathological vascular smooth muscle cells (VSMCs) activation is a common pathophysiological basis for numerous proliferative vascular diseases, such as restenosis. Suv39h1, an important transcription suppressor, may be involved in this process. Herein, we investigated the role of Suv39h1 in pathological intimal hyperplasia and its possible mechanisms in vitro and in vivo. An adenovirus vector for Suv39h1 overexpression and a lentiviral vector for its downregulation were constructed and used to transfect cultured VSMCs in vitro. The functional changes in VSMCs stimulated by angiotensin II (Ang II) were observed and the possible mechanism was investigated. Additionally, rat carotid arteries with balloon injury were locally transfected with these viral vectors and changes in neointima formation, proliferating cell nuclear antigen (Pcna) expression and collagen deposition were examined. Upon Ang II stimulation, the expression of Suv39h1 and inhibitor of DNA binding 3 (Id3) was significantly increased. Suv39h1 downregulation inhibited Ang II-stimulated migration and proliferation of VSMCs, antagonized the production of Id3 and promoted p21 and p27Kip1 expression. In contrast, Suv39h1 overexpression had the opposite effects. Suv39h1 regulated the transcription of p21 and p27Kip1 by controlling H3K9me3 in the proximal promoter regions. Consistent with the VSMCs results, Suv39h1 and Id3 expression was significantly increased in blood vessels after balloon injury. Suv39h1 downregulation inhibited intimal hyperplasia, and attenuated Pcna expression and collagen synthesis in the intima, while Suv39h1 overexpression had the opposite effects. Suv39h1 downregulation effectively inhibited neointimal hyperplasia after vascular injury. Image 1 • Suv39h1 downregulation inhibits Ang II-stimulated migration and proliferation of VSMCs. • Suv39h1 downregulation attenuates neointimal hyperplasia after vascular injury. • Suv39h1 downregulation decreases Id3 production, and promotes p21 and p27Kip1 expression. [ABSTRACT FROM AUTHOR]

Real estate monitoring is very important aspect of country economics, but old manual methods of land survey are time and resources consuming processes as geodata actualization tasks. Actual, precise, multidimensional and detailed information is the main instrument of geospatial intelligence to understand current economic situation and to make effective decision. Actualization of geoinformation using remote sensing is the modern approach of the computer age to complete Earth observation and human environment monitoring. This article describes multi-stage classification model, which detects man-made constructions in LiDAR point cloud. Proposed classification model applies decision tree and geometrical features of shape to remove noises. The goal of study is to experimentally compare decision trees with crisp and fuzzy logic (ID3 algorithms) to select the more suitable algorithm for noise reduction task. Algorithms are compared using total accuracy and Cohen's Kappa coefficient. [ABSTRACT FROM AUTHOR]

This paper compares human judgment with machine learning in a check processing context. An experiment was conducted comparing teams of subjects with three commercially available machine learning algorithms: recursive partitioning, ID3, and a back-propagation neural network. Also, the statistical technique discriminant analysis was compared. The subjects were allowed to induce rules from historical data under ideal human conditions, such as adequate time and opportunity to sort the data as desired. The results on multiple holdout samples indicate that human judgment, recursive partitioning, and the ID3 algorithm were equally accurate and more accurate than a back-propagation neural network. Subjects who chose mixed strategies of judgment were more accurate than those using noncompensatory strategies, while no subjects chose compensatory strategies. Large decision trees were not more accurate than smaller ones. There appeared to be a time threshold for humans to form accurate decision rules. Holdout sample accuracy tended to increase with primary sample accuracy. ID3 built larger trees than did either humans or recursive partitioning. The conclusion of this research is that the knowledge engineer faced with available historical data concerning a classification problem should not waste his time discerning rules, since he will only take longer and be no more accurate than a good learning tool. Knowledge of these tools will be the requisite skill for the knowledge engineer of the 1990s. Implications for IS design and further research are discussed. [ABSTRACT FROM AUTHOR]

Long-lived memory cell formation and maintenance are usually regulated by cytokines and transcriptional factors. Adjuvant effects of IL-7 have been studied in the vaccines of influenza and other pathogens. However, few studies investigated the adjuvant effects of cytokines and transcriptional factors in prolonging the immune memory induced by a tuberculosis (TB) subunit vaccine. To address this research gap, mice were treated with the Mycobacterium tuberculosis (M. tuberculosis) subunit vaccine Mtb10.4-HspX (MH) plus ESAT6-Ag85B-MPT64-Mtb8.4-Rv2626c (LT70), together with adeno-associated virus-mediated IL-7 or lentivirus-mediated transcriptional factor Id3, Bcl6, Bach2, and Blimp1 at 0, 2, and 4 weeks, respectively. Immune responses induced by the vaccine were examined at 25 weeks after last immunization. The results showed that adeno-associated virus-mediated IL-7 allowed the TB subunit vaccine to induce the formation of long-lived memory T cells. Meanwhile, IL-7 increased the expression of Id3, Bcl6, and bach2—the three key transcription factors for the generation of long-lived memory T cells. The adjuvant effects of transcriptional factors, together with TB fusion protein MH/LT70 vaccination, showed that both Bcl6 and Id3 increased the production of antigen-specific antibodies and long-lived memory T cells, characterized by high proliferative potential of antigen-specific CD4+ and CD8+ T cells, and IFN-γ secretion in CD4+ and CD8+ T cells, respectively, after re-exposure to the same antigen. Overall, our study suggests that IL-7 and transcriptional factors Id3 and Bcl6 help the TB subunit vaccine to induce long-term immune memory, which contributes to providing immune protection against M. tuberculosis infection.

Customer Relationship Management (CRM) has been an important part of enterprise decision-making and management. In this regard, Decision Tree (DT) models are the most common tools for investigating CRM and providing an appropriate support for the implementation of CRM systems. Yet, this method does not yield any estimate of the degree of separation of different subgroups involved in analysis. In this research, we compute three decision-making models in SMEs, analyzing different decision tree methods (C&RT, C4.5 and ID3). The methods are then used to compute ME and VoE for the models and they were then used to calculate the Mean Errors (ME) and Variance of Errors (VoE) estimates to investigate the predictive power of these methods. These decision tree methods were used to analyze small- and medium-sized enterprises (SME’s) datasets. The paper proposes a powerful technical support for better directing market tends and mining in CRM. According to the findings, C&RT shows a better degree of separation. As a result, we recommend using decision tree methods together with ME and VoE to determine CRM factors.

This paper explores methodologies for developing intelligent automated decision systems for complex processes that contain uncertainties, thus requiring computational intelligence. Irrigation decision support systems (IDSS) promise to increase water efficiency while sustaining crop yields. Here, we explored methodologies for developing intelligent IDSS that exploit statistical, measured, and simulated data. A simple and a fuzzy multicriteria approach as well as a Decision Tree based system were analyzed. The methodologies were applied in a sample of olive tree farms of Heraklion in the island of Crete, Greece, where water resources are scarce and crop management is generally empirical. The objective is to support decision for optimal financial profit through high yield while conserving water resources through optimal irrigation schemes under various (or uncertain) intrinsic and extrinsic conditions. Crop irrigation requirements are modelled using the FAO-56 equation. The results demonstrate that the decision support based on probabilistic and fuzzy approaches point to strategies with low amounts and careful distributed water irrigation strategies. The decision tree shows that decision can be optimized by examining coexisting factors. We conclude that irrigation-based decisions can be highly assisted by methods such as decision trees given the right choice of attributes while keeping focus on the financial balance between cost and revenue.

CD5L (CD5 molecule-like) is a secreted glycoprotein that controls key mechanisms in inflammatory responses, with involvement in processes such as infection, atherosclerosis, and cancer. In macrophages, CD5L promotes an anti-inflammatory cytokine profile in response to TLR activation. In the present study, we questioned whether CD5L is able to influence human macrophage plasticity, and drive its polarization toward any specific phenotype. We compared CD5L-induced phenotypic and functional changes to those caused by IFN/LPS, IL4, and IL10 in human monocytes. Phenotypic markers were quantified by RT-qPCR and flow cytometry, and a mathematical algorithm was built for their analysis. Moreover, we compared ROS production, phagocytic capacity, and inflammatory responses to LPS. CD5L drove cells toward a polarization similar to that induced by IL10. Furthermore, IL10- and CD5L-treated macrophages showed increased LC3-II content and colocalization with acidic compartments, thereby pointing to the enhancement of autophagy-dependent processes. Accordingly, siRNA targeting ATG7 in THP1 cells blocked CD5L-induced CD163 and Mer tyrosine kinase mRNA and efferocytosis. In these cells, gene expression profiling and validation indicated the upregulation of the transcription factor ID3 by CD5L through ATG7. In agreement, ID3 silencing reversed polarization by CD5L. Our data point to a significant contribution of CD5L-mediated autophagy to the induction of ID3 and provide the first evidence that CD5L drives macrophage polarization.

Objective: Macrophages are important producers of obesity-induced MCP-1; however, initial obesity-induced increases in MCP-1 production precede M1 macrophage accumulation in visceral adipose tissue (VAT). The initial cellular source of obesity-induced MCP-1 in vivo is currently unknown. Preliminary reports based on in vitro studies of preadipocyte cell lines and adherent stroma-vascular fraction cells suggest that resident stromal cells express MCP-1. In the past several years, elegant methods of identifying adipocyte progenitor cells (AdPCs) have become available, making it possible to study these cells in vivo. We have previously published that global deletion of transcription factor Inhibitor of Differentiation 3 (Id3) attenuates high fat diet-induced obesity, but it is unclear if Id3 plays a role in diet-induced MCP-1 production. We sought to determine the initial cellular source of MCP-1 and identify molecular regulators mediating MCP-1 production. Methods: Id3+/+ and Id3−/− mice were fed either a standard chow or HFD for varying lengths of time. Flow cytometry, semi-quantitative real-time PCR, ELISAs and adoptive transfers were used to assess the importance of AdPCs during diet-induced obesity. Flow cytometry was also performed on a cohort of 14 patients undergoing bariatric surgery. Results: Flow cytometry identified committed CD45−CD31−Ter119−CD29+CD34+Sca-1+CD24− adipocyte progenitor cells as producers of high levels of MCP-1 in VAT. High-fat diet increased AdPC numbers, an effect dependent on Id3. Loss of Id3 increased p21Cip1 levels and attenuated AdPC proliferation, resulting in reduced MCP-1 and M1 macrophage accumulation in VAT, compared to Id3+/+ littermate controls. AdPC rescue by adoptive transfer of 50,000 Id3+/+ AdPCs into Id3−/− recipient mice increased MCP-1 levels and M1 macrophage number in VAT. Additionally, flow cytometry identified MCP-1-producing CD45−CD31−CD34+CD44+CD90+ AdPCs in human omental and subcutaneous adipose tissue, with a higher percentage in omental adipose. Furthermore, high surface expression of CD44 marked abundant MCP-1 producers, only in visceral adipose tissue. Conclusions: This study provides the first in vivo evidence, to our knowledge, that committed AdPCs in VAT are the initial source of obesity-induced MCP-1 and identifies the helix-loop-helix transcription factor Id3 as a critical regulator of p21Cip1 expression, AdPC proliferation, MCP-1 expression and M1 macrophage accumulation in VAT. Inhibition of Id3 and AdPC expansion, as well as CD44 expression in human AdPCs, may serve as unique therapeutic targets for the regulation of adipose tissue inflammation.