Effects Of Fiber Reinforcements Weave Patterns On The Mechanical Properties Of Hybrid Intraply Lamina

Laminate hybrid composites can be classified into two structure types such as interply and intraply structure. This research focuses on the effect of weave designs on mechanical properties of the single ply or also known as intraply hybrid composite lamina made by vacuum infusion technique. The eighteen (18) specimen of intraply composites lamina were made by kenaf fiber and glass fiber as a reinforcement and unsaturated polyester resin as a matrix with three types composition which were kenaf fiber in warp and weft direction (100 % kenaf), kenaf fiber in warp direction and glass fiber in weft direction (WK – WG), and lastly glass fiber in warp direction and kenaf fiber in weft direction (WG – WK) in various weave designs which were plain, twill, satin, basket, mock leno and leno weave. By using different weave designs and different materials in warp and weft direction had significantly affect the mechanical strength. The lamina intraply composites from WG – WK had significantly highest tensile strength and better mechanical properties which were plain, twill, satin, basket, mock leno and leno weave increased about 61.1 %, 93.9 %, 101.0 %, 95.8 %, 145.7 % and 49.1 % respectively compared pure kenaf. The most effectiveness of weave design for lamina composite were twill weave and satin weave in WG – WK with tensile strength 93.85 MPa and 97.35 MPa respectively. Lastly the leno weave was found to be not effective weave design for lamina intraply composite. This is due to the structure and the fiber content of leno weave

Monocentric Analysis of the Effectiveness and Financial Consequences of the Use of Lenograstim Versus Filgrastim for Mobilization of Peripheral Blood Progenitor Cells in Patients With Lymphoma and Myeloma Receiving Chemotherapy and Autologous Stem Cell Transplantation

Purpose: Granulocyte-colony stimulating factors (G-CSFs) are widely used to mobilize CD34+ stem cells and to support the engraftment after hematopoietic stem cell transplantation (HSCT). A budget impact analysis and an incremental cost-effectiveness study of two G-CSFs (Lenograstim and Filgrastim biosimilar), considering engraftment, number of hospitalization days and number of G-CSF vials administered were performed. Patients and methods: Between 2009 and 2016, 248 patients undergoing autologous HSCT have been evaluated and divided into three groups (100 Leno-Leno, 93 Leno-Fil, 55 Fil-Fil) according to the type of G-CSF used for hematopoietic stem cell mobilization and hematopoietic stem cell recovery after transplant. Results: The following statistically significant differences have been observed between Leno-Leno, Leno-Fil, Fil-Fil groups: a higher number of harvested CD34+ cells (10.56 vs 8.00 vs 7.20; p=0.0003) and a lower number of G-CSF vials (8 vs 8 vs 9; p=0.00020) used for full bone marrow recovery favoring Lenograstim. No statistically significant differences were found regarding the number of G-CSF vials used for mobilization, apheresis number and CD34+ cell peak. The post-transplant hematological recovery was faster in Lenograstim group than Filgrastim group: median time to neutrophil count engraftment (>500/mmc) was 12 vs 13 days; median time for platelets recovery (>20.000/mmc) was 12 vs 15 days (p=0.0001). The use of Lenograstim achieved cost savings of \u20ac566/patient over Filgrastim biosimilar, related to a decreased number of days of hospitalization (16 vs 17 days; p=0.00012), a lower overall incidence of adverse events, laboratory tests, transfusions for platelet recovery following discharge. Conclusion: In our experience, Lenograstim outperforms Filgrastim in terms of effectiveness and lower cost. This study shows a clinical superiority of Lenograstim over Filgrastim suggesting a potential cost savings favoring Lenograstim

MANUFACTURING OF TUBULAR LENO FABRICS BY MODIFIED STANDARD SAMPLING LOOM

Leno fabric pattern was first developed at the beginning of the 1900’s. Leno weaving structures, which are net-like porous, also called gauze, cross or doup weave. There are several types of leno fabrics which included plain and fancy lenos. Although, plain leno-weave structures is used mainly to make selvedge in the industrial weaving machineries, the fancy leno-weave fabrics are used for home, industrial, agricultural, medical and geo textiles and civil engineering applications, as well. Leno structures is woven by special manufactured leno weaving to exemplify circular leno looms. In order to produce leno fabrics are used leno heddle types. Essentially, lenos fabric is formed that one warp yarn is raised and passed over from one side of adjacent warp yarn. When the two adjacent warp yarns is twisted, weft yarn is inserted them, as well. Because of porous and entangled structures, they are lighter but stronger than plain structures. In this study, Firstly, we have woven tube-like leno structure by modifying Automatic Sampling Loom. Secondly, it was woven double layered tubular leno fabrics from different types of yarns by modifying standard automatic sampling loom and measured the mechanical properties of resultant. In the last part of study, to investigate surface characteristic feature more closely, we used a stereo microscope

PERBEDAAN KEKUATAN FLEKSURAL FIBER REINFORCED COMPOSITE DENGAN STRUKTUR LENO WEAVE DAN LONG LONGITUDINAL POLYETHYLENE PADA GIG I TIRUAN CEKAT ADHESIF

Fiber reinforced composite (FRC) adalah bahan yang dapat digunakan untuk pembuatan gigi tiruan cekat adhesif, bahan ini merupakan bahan dasar resin yang diperkuat oleh substruktur fiber yang bertujuan untuk meningkatkan sifat mekaniknya. Fiber reinforced dari FRC terdiri dari bermacam-macam struktur serat, perbedaan struktur serat dapat mempengaruhi kekuatan mekanis. Tujuan dari penelitian ini untuk mengetahui perbedaan kekuatan fleksural antara fiber reinforced composite dengan sruktur leno weave polyethylene dan fiber reinforced composite dengan struktur long longitudinal polyethylene. Penelitian menggunakan 20 subjek penelitian plat FRC dengan ukuran 2 x 2 x 25 cm yang dibagi menjadi 2 kelompok. Kelompok I, fiber leno weave polyethylene. Kelompok II, fiber long longitudinal polyethylene. Keduanya dilapisi resin komposit flowable pada bagian dasar dan atas fiber dengan tinggi masing-masing 0,5 mm kemudian disinar 40 detik. Bagian atas resin komposit flowable kemudian diberi resin komposit konvensional sampai setinggi mold dan disinar 40 detik. Kemudian subjek penelitian dilakukan uji kekuatan fleksural dengan universal testing machine. Dari hasil penelitian menunjukkan bahwa terdapat perbedaan yang bermakna antara kp-kuatan fleksural FRC dengan sruktur leno weave polyethylene dan FRC dengan struktur long longitudinal polyethylene (

RWU A Cappella Group to Open for Comedian Jay Leno at PPAC

Hawkward will take the stage in Providence before an audience of up to 3,000 on Thursday, March 22

LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise

Pixel-wise predction with deep neural network has become an effective paradigm for salient object detection (SOD) and achieved remakable performance. However, very few SOD models are robust against adversarial attacks which are visually imperceptible for human visual attention. The previous work robust salient object detection against adversarial attacks (ROSA) shuffles the pre-segmented superpixels and then refines the coarse saliency map by the densely connected CRF. Different from ROSA that rely on various pre- and post-processings, this paper proposes a light-weight Learnble Noise (LeNo) to against adversarial attacks for SOD models. LeNo preserves accuracy of SOD models on both adversarial and clean images, as well as inference speed. In general, LeNo consists of a simple shallow noise and noise estimation that embedded in the encoder and decoder of arbitrary SOD networks respectively. Inspired by the center prior of human visual attention mechanism, we initialize the shallow noise with a cross-shaped gaussian distribution for better defense against adversarial attacks. Instead of adding additional network components for post-processing, the proposed noise estimation modifies only one channel of the decoder. With the deeply-supervised noise-decoupled training on state-of-the-art RGB and RGB-D SOD networks, LeNo outperforms previous works not only on adversarial images but also clean images, which contributes stronger robustness for SOD.Comment: 8 pages, 5 figures, submitted to AAA

Husband and Wife Pharmacy Duo Appointed to Caring Partners International’s Advisory Council

In July 2022, Leno and Martha Abraham were appointed to the advisory council of Caring Partners International (CPI), a local ministry with a global impact