Articles de revues sur le sujet « DPN synthetic acceleration »

As deep neural network (DNN) models get larger and more complicated, the importance of hardware acceleration becomes more and more apparent. This paper discusses various hardware acceleration strategies for deep learning, especially in the area of computer vision. It explores the use of GPUs, FPGAs, and ASICs, detailing their respective strengths and weaknesses in accelerating DNNs. This paper argues that the future of DNN hardware acceleration lies in hybrid approaches that combine the advantages of different architectures. Software advances such as improved compilers and synthesis tools will also play a critical role in making these techniques more accessible. By utilizing the appropriate hardware technology for a given task and continuing to innovate in both hardware and software, computer vision will make significant advances in performance, efficiency, and scalability. This hybrid approach is key to the future of DNN hardware acceleration, offering a path to overcome the limitations of any single type of hardware.

The gravity method is a geophysical exploration method to measure variations in the acceleration of gravity on the surface of the earth in response to variations in rocks that exist beneath the surface. In gravity exploration requires a preliminary picture as a reference for measurement. This study aims to make forward modeling synthetic OCTAVE based using synthetic data on subsurface rock structures, so as to produce intrusion and fracture models based on differences in the value of the acceleration of gravity from one point to another on the surface of the earth. Synthetic modeling with the geological parameter approach of the study area is based on variations in the price of rock density. The model parameters used in intrusion modeling are the density value of 2.7 g/cm3 and the depth of 850 meters while the fracture modeling uses a density value of 2.7 g/cm3 with a depth of 350 meters and 360 meters and a thickness of 500 meters. From intrusion modeling, the gravity vertical component of attraction force is 0.03 mGal and in the fracture modeling the gravity vertical component of attraction force is 0.0565 mGal. Based on the results of this modeling, distance curve vs. gravity anomaly response is obtained for both cases. In the intrusion rock model obtained by the profile model with an open type down. While the fracture modeling is obtained anomalous profile curve variation which states that in the fracture area with a significant change in the direction of the curve.

This research aimed to know the influence of addition crude product Pseudomonas aeruginosa IA7d biosurfactant from substrate hexadecane and diesel fuel in supporting activity of diesel fuel biodegradation and both potention to replace synthetic surfactant for hydrocarbon remediation. Biodegradation test was done by experimental in laboratory scale by Tween-80 as synthetic surfactant comparator. Growth culture was from seawater of Tanjung Perak Harbor Surabaya include various microbe types in its. 2 percent (w/v) of diesel fuel and three surfactants test (0.70 percent w/v crude product P. aeruginosa IA7d biosurfactant from hexadecane substrate; 60,69 percent w/v crude product P. aeruginosa IA7d biosurfactant from diesel fuel substrate; and 0.10 percent w/v synthetic surfactant Tween 80) at uniform surface tension of surfactant solution (54.03 mN/m) were added into 30 ml seawater sample. Cultures were incubated at room temperature (30 °C) during 14 days with shaking (90 rpm). Result of biodegradation test showed the third addition of surfactants test had an effect on acceleration of diesel fuel biodegradation activity that proved at the increased of microbial count (bacterium, yeast, and mould) and decreased of diesel fuel concentration was shown by chromatograms area of diesel fuel. Highest degradation was successively reached by culture got crude product P. aeruginosa IA7d biosurfactant from diesel fuel substrate (88.034 percent), crude product P. aeruginosa IA7d biosurfactant from hexadecane substrate (80.908 percent), synthetic surfactant Tween-80 (54.732 percent), and control that was without addition surfactant test (0.132 percent). Base on number of microbial count, percentage of decreasing chromatogram peaks of diesel fuel from each surfactant test, and price substrate produce (diesel fuel and hexadecane) among both crude product P. aeruginosa IA7d biosurfactant, known that the crude product P. aeruginosa IA7d biosurfactant from diesel fuel substrate had highest ability acceleration to biodegradation activity on diesel fuel and had a potency to replace synthetic surfactant for remediation hydrocarbon application in environment.

Dalam perencanaan struktur bangunan tahan gempa, tujuan umum dari analisa struktur dinamis adalah memprediksi respons dari struktur terhadap pengaruh ground motion yang memiliki Spectral Acceleration (Sa) pada periode tertentu berdasarkan tingkat kemungkinan terlampui (Probability of Excedence/PE) 10% atau 2% masa layan bangunan 50 tahun. Prediksi respons struktur ditentukan dengan memilih ground motion yang cocok dengan beberapa target spektra dan nantinya ground motion tersebut digunakan sebagai input dalam analisis dinamis struktur. Pada paper ini menyajikan analisis perambatan gelombang gempa dari batuan dasar ke lapisan permukaan (Site Specific Response Analysis/ SSRA). Data-data yang diperlukan adalah data stratifikasi tanah dan parameter kecepatan gelombang geser yang didapatkan dari korelasi empiris terhadap data hasil pemboran dan uji N-SPT. Ground motion synthetic batuan dasar yang digunakan untuk perambatan gelombang gempa diperoleh dari hasil penelitian sebelumnya yang mengadopsi pendekatan statistik Conditional Mean Spectrum (CMS) agar ground motion yang dihasilkan dipermukaan cocok dengan prediksi masalah respon struktur yang sebenarnya. SSRA dilakukan berdasarkan teori perambatan gelombang geser satu dimensi dalam time domain dengan menggunakan program Non-linear Earthquake Response Analysis (NERA). Hasilnya diperoleh percepatan maksimum gempa dipermukaan (peak surface acceleration/ PBA) berbeda-beda di kedua lokasi tergantung pada faktor amplifikasi, karakteristik dan jenis gempa yang terjadi. Direkomendasikan respons spectra desain untuk periode ulang 475 tahun dan 2475 tahun wilayah 4 kelas tanah sedang (SD) untuk kedua lokasi tersebut. Data-data tersebut digunakan sebagai input dalam penentuan beban gempa pada bangunan dalam analisis struktur dinamis.

Bone health is a vital element in the quality of life aspect, especially with the increasing risk of osteoporosis and fractures with age. Extremely Low Frequency (ELF) electromagnetic field therapy offers the potential for bone regeneration through collagen synthesis, osteoblast stimulation, and molecular signal modulation. This study evaluates the potential and efficacy of ELF for bone health based on scientific literature. The results of the analysis show that ELF is effective in accelerating healing, increasing bone density, and is safe at certain intensities. However, optimization of parameters such as duration and intensity of exposure is still needed. This study supports the development of standard protocols for safe and effective ELF applications in bone therapy.

Abstract In the present study we evaluated the effect of complement activation by immune complexes (IC) on the expression of decay-accelerating factor (DAF) on human mesangial cells (MC). MC in culture were incubated with an Ag (DNP-Gelatin) that binds to fibronectin present in the MC matrix. Subsequently, MC were incubated with anti-DNP antibodies in the presence of human serum. By immunoperoxidase staining we showed that these incubations resulted in IC formation and deposition of human C3 and terminal complement components (C5b-9) on the mesangial matrix and on the surface of MC. By immunoperoxidase staining and by RIA we showed that IC formation and complement activation significantly increased DAF expression on the MC plasma membrane. The induction of DAF expression was a consequence of deposition of terminal complement components on the MC because, zymosan-activated serum and IC formation in the presence of C5- or C8-deficient serum failed to increase MC DAF expression. Furthermore, the observed increased DAF expression was the consequence of increased DAF synthesis by MC. Thus, both cycloheximide and actinomycin D blocked the increase on MC DAF observed after incubation with IC and serum. MC DAF had biophysical and functional characteristics similar to DAF in other cells. Thus, 1) MC DAF was resistant to trypsin but was removed from the MC membrane by pronase; 2) phosphatidylinositol-specific phospholipase C removed 48 +/- 4% of MC DAF indicating that MC DAF is anchored in the cell membrane by phosphatidylinositol groups; 3) DAF isolated from MC-inhibited complement-mediated hemolysis and demonstrated a molecular mass of 83 kDa. In conclusion, deposition of terminal complement components on human MC trigger new synthesis and membrane expression of DAF. Because DAF protects cells against complement-mediated lysis, we postulate that DAF may protect glomerular cells during IC and complement-mediated glomerulonephritis.

Haircare products are very important to prevent one of the problems of hair damage, both from synthetic and natural ingredients. One of the natural ingredients of hair care products is Red Palm Oil (RPO) and Extra Virgin Olive Oil (EVOO). This research is an experimental study that aims to see whether Red Palm Oil and Extra Virgin Olive Oil have effectiveness in growing hair. This research method used 4 groups of test animals, namely the red palm oil group, extra virgin olive oil, negative control (aqua dest), and positive control (minoxidil). The hair growth activity test was carried out by applying each formula to the marked rabbit's back and measuring the length of the hair using a caliper on the 5th, 10th, 15th, 20th, 25th, and 30th days. On the 31st day, the hair weight was tested by weighing the hair using an analytical balance. The results showed that each formula had hair growth activity, but the most effective oil preparation in accelerating hair growth was Red Palm Oil (RPO).

The tourism sector is one of the efforts in accelerating the increase in regional original income in Banyuwangi Regency in a sustainable manner during the pandemic and endemic period. This study aims to analyze the priority of rater agreement synthesis with Kendall's coefficient of concordance on objects and tourist attractions in optimizing local revenue in Banyuwangi Regency. This study uses a quantitative approach with the support of a qualitative approach through interviews and questionnaires to a number of experts. The sampling technique in this study was carried out by purposive sampling technique from respondents from the health office, the culture and tourism office, the Banyuwangi Regency Regional Development Planning Agency, the Healthy Banyuwangi Forum, and the Tourism Awareness Group. The analysis technique uses the Analytic Network Process (ANP). The results of the analysis show that the results of the analysis of the value of Kendall's coefficient of concordance W (rater agreement) is 0.95. The diversity of values given by each respondent contributed to the rater agreement score of 95%. The increase in the number of tourists and the length of stay of tourists occupy the highest priority for rater agreement synthesis at 36%. This confirms that optimistic tourism objects and attractions can be a trigger in boosting local revenue in the tourism sector in Banyuwangi Regency

In recent years, deep neural networks (DNNs) have addressed new applications with intelligent autonomy, often achieving higher accuracy than human experts. This capability comes at the expense of the ever-increasing complexity of emerging DNNs, causing enormous challenges while deploying on resource-limited edge devices. Improving the efficiency of DNN hardware accelerators by compression has been explored previously. Existing state-of-the-art studies applied approximate computing to enhance energy efficiency even at the expense of a little accuracy loss. In contrast, bit-serial processing has been used for improving the computational efficiency of neural processing without accuracy loss, exploiting a simple design, dynamic precision adjustment, and computation pruning. This research presents Serial/Parallel Systolic Array (SPSA) and Octet Serial/Parallel Systolic Array (OSPSA) processing elements for edge DNN acceleration, which exploit bit-serial processing on systolic array architecture for improving computational efficiency. For evaluation, all designs were described at the RTL level and synthesized in 28 nm technology. Post-synthesis cycle-accurate simulations of image classification over DNNs illustrated that, on average, a sample 16 × 16 systolic array indicated remarkable improvements of 17.6% and 50.6% in energy efficiency compared to the baseline, with no loss of accuracy.

Permainan sepakbola dicirikan dengan pola aktivitas yang berubah-ubah, olahraga dengan durasi yang panjang dengan intensitas yang tinggi dan aksi yang eksplosif seperti melakukan akselarasi, deakselarasi, merubah arah, melompat, dan menjegal yang tentunya memerlukan kerja yang tinggi dari daya tubuh. Di dalam pertandingan kebutuhan energi sangat tinggi, dipenuhi dengan metabolisme aerob dan anaerob, yang mana perlu dibarengi dengan asupan nutrisi berkualitas dalam bentuk mikronutrisi khususnya asupan/pemaparan vitamin D untuk pemain agar dapat menunjang dan menjaga performa permainan dari seorang pemain, terlebih pada level sepakbola elit. Vitamin D sendiri adalah suatu prekursor hormon yang memiliki peranan penting di dalam menjaga kesehatan tulang dan fungsi imunitas. Penemuan reseptor vitamin D pada sel otot rangka manusia telah membawa para ilmuwan fisiologi otot untuk menemukan peranan penting vitamin D dalam meregulasikan sintesis protein dan fungsi otot. Pada atlit sepakbola elit, terdapat kebutuhan konstan vitamin D di dalam memaksimalkan sintesis protein untuk memenuhi kebutuhan fisik dari latihan harian. Selain dari pemaparan sinar matahari vitamin D pun dapat didapatkan dari sumber makanan yang mengandung nutrisi ini (hewani dan nabati).Soccer was characterized with activity that changed periodically during the game, this sport has long duration and with high intensity dan explosive action like doing acceleration, deacceleration, changing direction, jumping, and tackling. Of course in order to doing that this sport needs high rate of physical performance of the players. In the match, energy requirements is very high, fulfill by aerob metabolism and anaerob, to help the metabolism regulation, micronutrien intake especially vitamin D intake/exposure for the players to support and maintain performance of soccer players, especially in the elite level. Vitamin D is a hormonal precursor that hold an important role to maintain bone health and imunity function. The discovery of vitamin D receptor in human skeletal’s cells made attention to Muscle Physiologyst in order to find a way how vitamin D regulated protein synsthesis and muscle function. For soccer elite athletes, there’s constant needs of vitamin D to built synthesis protein in order to support the physical requirements from daily training. Besides sunlight exposure, vitamin D can be acquired from dietary foods that contain this vitamin (animal and plant source).Soccer was characterized with activity that changed periodically during the game, this sport has long duration and with high intensity dan explosive action like doing acceleration, deacceleration, changing direction, jumping, and tackling. Of course in order to doing that this sport needs high rate of physical performance of the players. In the match, energy requirements is very high, fulfill by aerob metabolism and anaerob, to help the metabolism regulation, micronutrien intake especially vitamin D intake/exposure for the players to support and maintain performance of soccer players, especially in the elite level. Vitamin D is a hormonal precursor that hold an important role to maintain bone health and imunity function. The discovery of vitamin D receptor in human skeletal’s cells made attention to Muscle Physiologyst in order to find a way how vitamin D regulated protein synsthesis and muscle function. For soccer elite athletes, there’s constant needs of vitamin D to built synthesis protein in order to support the physical requirements from daily training. Besides sunlight exposure, vitamin D can be acquired from dietary foods that contain this vitamin (animal and plant source).

ResuméI artiklen præsenteres en kvalitativ analyse af data fra forløb for lærerstuderende med fokus på mindfulness, selvberoenhed og relationskompetence. Kvantitative eksperimentelle data fra samme forløb har vist effekt på de lærerstuderendes mentale trivsel. Mulige årsager og kobling til arbejde med relationer som kommende lærer diskuteres baseret på en tematisk analyse af bl.a. gentagne interview. Fem overordnede pointer fremhæves i relation til oplevet udbytte: 1) Der har været en frugtbar spænding mellem kendthed og anderledeshed, 2) de studerende har oplevet en syntese mellem “hoved og krop”, 3) forløbet er oplevet som modsvar mod en udbredt præstationsorientering og acceleration, 4) læringsfællesskabet på holdet fremhæves som afgørende for de studerendes oplevelse af selvberoenhed, og dette ser ud til at blive understøttet af den scene, der sættes af underviserne, og 5) de lærerstuderende oplever selv at have udviklet nogle kompetencer, som de har en intention om at anvende såvel i mødet med (kommende) elever som med kolleger. Abstract (UK)The paper presents a qualitative analysis of data from a pedagogical project for student teachers focused e.g. on mindfulness and relational competencies. Previously reported quantitative experimental data from the same project have shown an effect on the student teachers’ mental health. The background for these effects and the connection to the student teachers’ relational work as prospective teachers are discussed based on a thematic analysis of interview data etc. Five key points are highlighted referring to the perceived outcomes: 1) A fruitful tension between something well known and something very different, 2) a synthesis in both body and brain, 3) difference compared to the normal performance orientation and acceleration, 4) a community of learning together has developed and has been experienced as supportive, this is both among peers but also scaffolded by the teacher educators, 5) the student teachers themselves experience to have developed competencies they intend to use with future students and colleagues.

Inovasi teknologi di industri batik mengalami perkembangan dan diharapkan mampu mendorong akselerasi industrialisasi. Proses pewarnaan merupakan proses penting dalam menghasilkan batik dengan nilai estetika dan nilai ekonomis yang tinggi. Teknik pewarnaan yang dikaji dalam penelitian ini adalah teknik pewarnaan colet menggunakan zat warna Indigosol. Zat warna Indigosol merupakan salah satu zat warna sintetis yang menghasilkan warna pastel dan memerlukan penyinaran sinar matahari terik sebagai tahapan pra-oksidasi. Permasalahan muncul manakala cuaca mendung atau hujan. Proses pewarnaan menjadi tidak optimal atau bahkan tidak dapat dilakukan. Penelitian ini bertujuan memberikan solusi bagi permasalahan diskontinuitas produksi kain batik coletan dengan warna Indigosol. Rancang bangun meja colet menggunakan pendekatan Pahl dan Beitz. Berdasarkan pendekatan sistematis, dihasilkan rancangan meja colet dengan menggunakan teknologi ultraviolet sebagai pengganti sinar matahari yang digerakkan otomatis dengan mikrokontroler. Meja colet ini telah di-uji-cobakan secara fungsional dan memberikan hasil pewarnaan yang cerah disesuaikan dengan lamanya penyinaran. Abstract[The Design of Colet or Staining Process Workbench with Ultraviolet for Pre-Oxidation of Indigosol Dyes Using Pahl and Beitz Systematic Approach] Technological innovation in the batik industry is experiencing developments that can encourage the acceleration of industrialization. The coloring process is an important process in producing batik with high aesthetic and economic value. The coloring process studied in this paper is the Colet staining technique using Indigosol dyes. Indigosol dye is a synthetic dye that produces soft colors and requires bright sunlight as a pre-oxidation stage. Problems arise when the weather is cloudy or rainy. The coloring process becomes not optimal or even impossible to produce. This study aims to provide a solution to the problem of discontinuity in the production of Coletan batik cloth with Indigosol dyes. The design of Colet Workbench using the Pahl and Beitz approach. Based on a systematic approach, a Colet Workbench design was produced using ultraviolet technology as a substitute for the sunlight which is driven automatically by a microcontroller. The Colet workbench has been tested functionally and provides bright staining results according to the length of irradiation.Keywords: engineering design; pencoletan; indigosol; Pahl and Beitz

Abstract Maintenance of telomeres in the absence of telomerase is known as Alternative Lengthening of Telomeres (ALT), which is prevalent in 10-15% of all cancers. Tessellate BIO targets ALT mechanisms to drive cell death by synthetic lethality. To identify patients who will benefit from our therapy, we are developing companion diagnostics (CDx). In this study, established hallmarks of ALT are investigated as CDx target in tissue-derived samples. In fresh and FFPE tumor tissue, presence and abundance of different ALT hallmarks were measured, including RPA phosphorylation, C-circles and telomeric single stranded DNA. While not all markers pass the stringent requirements of a CDx, C-circles prove to be a reliable biomarker. To measure C-circles, a robust and scalable PCR-based protocol was developed, facilitating easy implementation in the clinic. Utilizing this protocol, C-circles were successfully measured across different tissue types. Further, the protocol allowed for C-circle quantification in cell lines, showcasing its utility across matrices of varying complexity. Successful development of the C-circle CDx enables patients selection based on ALT mechanisms herewith improving the response rate of targeted therapies in patients and accelerating new discoveries in the ALT space. Citation Format: Ganesh Kadamur, Dalia Tarantino, Freddie Grogono, Patrick Von Morgen, Salvina Tammaccaro, Diana Zatreanu, Donata Federici Canova, Jana Wolf, Corne van den Kieboom, Katie Chapman, Joris Schuurmans, Jurgen Moll. Companion Diagnostics (CDx) to identify hallmarks of Alternative Lengthening of Telomeres (ALT) [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Expanding and Translating Cancer Synthetic Vulnerabilities; 2024 Jun 10-13; Montreal, Quebec, Canada. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(6 Suppl):Abstract nr A016.

AbstractClimate change is very likely to cause a global acceleration in sea-level rise (SLR). The projected acceleration of SLR will also affect the Wadden Sea. In addition to an accelerated SLR, gas and salt extraction will cause subsidence that adds to an increase in water depth in the tidal basins. This will have consequences for the sediment budget of the Wadden Sea and especially for the intertidal flats that have a high ecological value. This synthesis presents projections of the future state of the Dutch Wadden Sea for the years 2030, 2050 and 2100.The projected changes in mean sea level by 2100 for Den Helder and Delfzijl are above the global mean projections, mainly due to the above-average ocean dynamics and glacio-isostatic adjustment contributions in the regional projections. The projected rise in mean sea level for 2100 with relation to 2018 in these locations is 0.41m, 0.52m and 0.76m for, respectively, the RCP2.6, RCP 4.5 and RCP8.5 climate scenarios.When we combine the presented SLR scenarios with the subsidence estimates and compare these rates to the critical rates for ‘drowning’ of intertidal flats that were calculated for the individual tidal basins, we can determine the moment that the maximum imported sediment volume can no longer compensate the increase in accommodation space in a basin and the intertidal flats will start to diminish in surface area and/or height. In the RCP2.6 scenario, the projected rates of relative SLR will be below the critical rate for drowning of the inlet systems in the Dutch Wadden Sea. For the RCP4.5 scenario, the critical SLR rate will be exceeded for Vlie Inlet in 2030, and for the RCP8.5 scenario the critical SLR rate will be exceeded for Vlie Inlet in 2030, Texel Inlet in 2050 and Ameland Inlet in 2100. For the other basins the critical rate will not be exceeded until 2100 or later.The way the intertidal flats in a basin will react to ‘drowning’ is not clear beforehand. It is highly possible that erosion of flats in one place will produce the sediment to maintain flats in other places. Tidal flats close to the sediment-delivering tidal inlet are not likely to disappear, because there the balance between supply and erosion is not likely to change.

<p><em></em>Virgin Coconut Oil (VCO) is coconut oil that is processed in a simple way without involving synthetic chemicals. Production methods that are commonly carried out on a household scale or micro, small and medium enterprises (MSMEs) include the methods of induced, salting, centrifugation, and fermentation. This process causes the lauric acid content of VCO to be the highest compared to the other 2 oils, which is 53.70-54.06 %, while ordinary coconut oil is 2.81% and palm oil is 0.45%. The high content of lauric acid makes VCO beneficial for health, including increasing endurance and accelerating the healing process of disease. In national and global and markets, until the 1990s VCO developed very slowly. But in 2020 the VCO market began to grow because people use this product as an antivirus against Covid-19. This paper explores the advantages, manufacturing technology, and trade of local and global VCO. Research results that apply VCO to food products and VCO-based food products that have the potential to be developed on the MSME scale are presented. Based on market potential, technology, and business capital, the most potential VCO-based product to be developed is chocolate bar.</p><p>Keywords: Virgin coconut oil, trade, food products</p><p> </p><p><strong>Abstrak</strong></p><p><strong>VIRGIN COCONUT OIL (VCO): PEMBUATAN, KEUNGGULAN, PEMASARAN DAN POTENSI PEMANFAATAN PADA BERBAGAI PRODUK PANGAN</strong></p><p>Virgin Coconut Oil (VCO) adalah minyak kelapa yang diproses dengan cara sederhana tanpa melibatkan zat-zat kimia sintetis. Metode produksi yang umum dilakukan pada skala rumah tangga atau usaha mikro, kecil, dan menengah (UMKM) meliputi metode pancingan, penggaraman, sentrifugasi, dan fermentasi. Proses ini menyebabkan kandungan asam laurat VCO menjadi yang tertinggi dibanding 2 minyak lainnya, yaitu sebesar 53.70-54.06 %, sementara minyak kelapa biasa sebesar 2.81 % dan minyak sawit sebesar 0.45%. Tingginya kandungan asam laurat menjadikan VCO bermanfaaat untuk kesehatan, diantaranya meningkatkan daya tahan tubuh dan mempercepat proses penyembuhan penyakit. Pada pasar lokal dan global, hingga tahun 1990-an VCO berkembang sangat lambat. Namun pada tahun 2020 pasar VCO mulai menggeliat karena masyarakat menggunakan produk ini sebagai antivirus melawan Covid-19. Naskah ini menggali keunggulan, teknologi pembuatan, dan perdagangan VCO lokal dan global. Selain itu juga ditampilkan hasil-hasil penelitian yang mengaplikasikan VCO pada produk pangan dan dilengkapi dengan produk-produk pangan berbasis VCO yang berpotensi dikembangkan pada skala UMKM. Berdasarkan potensi pasar, teknologi, dan modal usaha maka produk berbasis VCO yang paling potensial dikembangkan ialah cokelat batang.</p><p>Kata kunci: Virgin coconut oil, pemasaran, produk pangan</p><p> </p>

Abstract. Wound occur due to tissue damage of the skin structure. When a wound occurs, the body will go through a wound healing process. The Centella asiatica (L.) Urban plant is an alternative treatment in accelerating wound healing because it contains asiaticoside which can increase fibroblast proliferation, increase collagen synthesis and plays a role in angiogenesis process by regulating the expression of VEGF, madecassoside which can increase collagen synthesis, and asiatic acid as an anti -inflammatory. This study aims to determine the effectiveness of Centella asiatica (L.) Urban on wound healing in experimental animals. This research used Scoping Review method by searched articles from Science Direct, Springer Link, and the Wiley Online Library. Articles matched the inclusion criteria were 619 articles and 611 articles were included in the exclusion criteria. There were eight articles fit into the PICOS criteria. This research was conducted in the period of September-December 2020. The results of the study and analysis of eight articles, there were two articles that used the extract of Centella asiatica (L.) Urban directly on wounds, one article in the type of spray preparation, and five articles in wound dressings. All these articles showed that the administration of Centella asiatica (L.) Urban is effective against the wound healing process in experimental animals even though used with various types of preparations. The provision of Centella asiatica (L.) Urban has been proven effective in wound healing and the selection of the right type of preparation can increase the effectiveness of Centella asiatica (L.) Urban in healing wounds, this is due to the presence of asiaticoside, madecassoside and asiatic acid which can accelerate wound healing process. Abstrak. Luka terjadi akibat adanya kerusakan jaringan pada struktur kulit. Saat luka terjadi, tubuh akan mengalami tahapan proses penyembuhan luka. Tanaman Centella asiatica (L.) Urban merupakan alternatif pengobatan dalam mempercepat penyembuhan luka karena mengandung asiaticoside yang dapat meningkatkan proliferasi fibroblas dan meningkatkan sintesis kolagen, serta beperan pada proses angiogenesis dengan meregulasi ekspresi VEGF, madecassoside yang dapat meningkatkan sintesis kolagen, dan asiatic acid sebagai anti-inflamasi. Penelitian ini bertujuan untuk mengetahui efektifitas Centella asiatica (L.) Urban terhadap penyembuhan luka pada hewan coba. Penelitian ini merupakan Scoping Review, dengan mencari artikel dari database Science Direct, Springer Link, dan Wiley Online Library. Artikel yang sesuai dengan kriteria inklusi sebanyak 619 artikel dan yang termasuk dalam kriteria ekslusi 611 artikel. Terdapat delapan artikel yang sesuai dengan kriteria PICOS. Penelitian ini dilakukan pada periode September-Desember 2020.Hasil telaah dan analisis dari delapan artikel, terdapat dua artikel yang menggunakan ekstrak Centella asiatica (L.) Urban secara langsung terhadap luka, satu artikel dalam jenis sediaan spray, dan lima artikel dalam sediaan balutan luka. Semua artikel tersebut menunjukkan bahwa pemberian Centella asiatica (L.) Urban efektif terhadap proses penyembuhan luka pada hewan coba meskipun digunakan dengan berbagai jenis sediaan. Pemberian Centella asiatica (L.) Urban terbukti efektif terhadap penyembuhan luka dan pemilihan jenis sediaan yang tepat dapat meningkatkan efektivitas Centella asiatica (L.) Urban dalam penyembuhan luka, hal tersebut dikarenakan adanya kandungan asiaticoside, madecassoside dan Asiatic acid yang dapat mempercepat proses penyembuhan luka.

Pendahuluan: Eritema multiforme (EM) adalah penyakit peradangan akut yang merupakan reaksi hipersensitivitas pada mukokutan dan jarang ditemukan. Gambaran klinis EM berupa lesi erosi-ulseratif dan memiliki tendensi perdarahan. Kualitas eritrosit yang menurun dapat mempengaruhi proses penyembuhan penyakit ini, namun hal ini dapat diatasi dengan pemenuhan asupan mikronutrien. Tujuan laporan kasus ini untuk memaparkan hasil terapi suplementasi mikronutrien yang diberikan untuk tatalaksana EM pada pasien yang mengalami penurunan kualitas eritrosit. Laporan kasus: Seorang wanita berusia 21 tahun mengeluhkan perdarahan bibir dan sariawan dalam rongga mulut, terasa sakit sejak 3 minggu sebelumnya. Riwayat keluhan yang sama pernah dialami 7 tahun sebelumnya. Pemeriksaan ekstraoral memperlihatkan krusta hemoragik pada bibir, sedangkan hasil pemeriksaan intraoral menunjukkan ulserasi multipel pada hampir seluruh mukosa rongga mulut. Hasil pemeriksaan laboratorium menunjukkan adanya penurunan kualitas eritrosit berdasarkan parameter Mean Corpuscular Volume (MCV), Mean Cell Hemoglobin (MCH), dan Mean Cell Hemoglobin Concentration (MCHC); peningkatan jumlah eritrosit; dan eosinofil pada borderline atas, serta anti HSV-I IgG non-reaktif. Diagnosis pasien adalah eritema multiforme dengan riwayat stomatitis aftosa rekuren (SAR). Tatalaksana farmakologis diberikan asam folat dan vitamin B12 sebagai suplementasi mikronutrien. Diberikan pula chlorhexidine digluconate 0,12% mouthrinse sebagai antiseptik, dan petroleum jelly untuk pelembab bibir. Lesi oral pasien sembuh setelah 2 minggu terapi. Simpulan: Suplementasi mikronutrien berperan penting dalam mempercepat penyembuhan lesi mukosa oral pada pasien eritema multiforme yang mengalami penurunan kualitas eritrosit. Mikronutrien berupa asam folat dan vitamin B12 berperan penting dalam sintesis DNA eritrosit, pembelahan sel, dan perbaikan jaringan. Kata kunci: Mikronutrien, eritema multiforme, kualitas eritrosit. ABSTRACTIntroduction: Erythema multiforme (EM) is an acute inflammatory disease as a hypersensitivity reaction to mucocutaneous and is rarely found. The clinical feature of EM is an erosive-ulcerative lesion with a tendency of bleeding. Decreasing erythrocyte quality can affect its healing process, although able to be overcome by fulfilling the micronutrient intake. The purpose of this case report was to describe the results of micronutrient supplementation therapy given in the management of EM patients with decreasing erythrocyte quality. Case report: A 21-year-old woman complained of lip bleeding and oral thrush, which felt pain three weeks prior. A similar complaint history had been experienced in the previous seven years. Extraoral examination revealed haemorrhagic crusting on the lips, whereas intraoral examination showed multiple ulcerations of almost the entire oral mucosa. Laboratory examination results showed a decreasing erythrocyte quality based on the parameters of Mean Corpuscular Volume (MCV), Mean Cell Haemoglobin (MCH), and Mean Cell Haemoglobin Concentration (MCHC); an increasing number of erythrocytes and eosinophils in the upper borderline, as well as non-reactive anti-HSV-I IgG. The patient was diagnosed with erythema multiforme with a history of recurrent aphthous stomatitis (RAS). Pharmacological management was performed by given folic acid and vitamin B12 as micronutrient supplementation. Also, given a 0.12% chlorhexidine digluconate mouth rinse as an antiseptic and petroleum jelly for lip balm. The patient’s oral lesions resolved after two weeks of therapy. Conclusion: Micronutrient supplementation plays an essential role in accelerating the oral mucosal lesions healing in erythema multiforme patients with decreasing erythrocyte quality. Micronutrients in folic acid and vitamin B12 play an important role in erythrocyte DNA synthesis, cell division, and tissue repair.Keywords: Micronutrient, erythema multiforme, erythrocyte quality.

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 201775, “An End-to-End Deep Sequential Surrogate Model for High-Performance Reservoir Modeling: Enabling New Work Flows,” by Jiri Navratil, IBM; Giorgio De Paola, SPE, Repsol; and Georgos Kollias, IBM, et al., prepared for the 2020 SPE Annual Technical Conference and Exhibition, originally scheduled to be held in Denver, 5–7 October. The paper has not been peer reviewed. Despite considerable progress in the development of rapid evaluation methods for physics-based reservoir simulators, a significant gap still exists in the acceleration and accuracy needed to enable complex optimization methods. The complete paper describes an end-to-end deep surrogate model capable of modeling field and individual-well production rates given arbitrary sequences of actions (schedules), including varying well locations, controls, and completions. Results provide concrete measures of the efficacy of the deep surrogate model as an enabling technology for the development of optimization techniques previously out of reach because of computational complexity. Introduction Recent advances in machine learning, particularly in deep learning, have enabled breakthroughs in technically challenging areas such as computer vision, natural language processing, and speech processing. The authors expand on these powerful algorithms to develop a deep neural network (DNN) surrogate model for reservoir dynamics. The objective of the DNN surrogate model is to predict field rates and individual well rates. The field rates typically include aggregate oil and water production and water-injection rates reported at equidistant timesteps over a desired production horizon. Economic metrics such as net present value are computed using the field rates. The individual well rates are optional, and, typically, the oil production per well is the desired output. The contribution of this paper is twofold: It expands on the sequence-to-sequence approach by capturing additional varying inputs, namely well controls and completions, and it presents a thorough experimental analysis and validation on a publicly available synthetic reservoir model (SPE9) as well as a real large-scale reservoir model. Methods and Procedures Reservoir Models. SPE9 is a standard benchmark to validate and compare simulations of the black-oil model. The reservoir is described by a 24×25×15 grid, having a 10° dipping angle in the x direction and a heterogeneous geostatistically based permeability field. The grid has a uniform size of 300 ft in the x and y directions and is nonuniform along the z direction. The porosity values for each layer are constant and vary across layers. In this work, the original SPE9 benchmark has been modified to be suitable for field development plan (FDP) optimization. Different well-completion data and ranges have been used for the number of producer and injector wells. The areal well locations, the number of wells, and the well-drilling sequence are variables specified by a suitable FDP. A fixed well control has been used in all SPE9 simulations. In the original SPE9 benchmark, the field operating conditions led to free-gas formation and most of the wells switched from rate control to pressure control. The conditions that trigger the switch in well controls are provided as inputs to a reservoir model and are determined on the basis of operational logistics and geomechanical stability criteria. Neglecting such switches in well controls is disastrous in the real world. However, this is benign from the point of view of a numerical benchmark to test FDP optimization.

ABSTRACT: Asia is the second region after Africa to have the tallest prevalence of stunting in the world. Indonesia is one of the countries in Southeast Asia with the fifth highest prevalence of stunting in the world at 37%, or nearly 9 million children who experience stunting. This study aims to examine the factors that influence and risk the occurrence of stunting in children in Indonesia. The research method uses a type of qualitative research with a traditional literature review. This study found that stunting is influenced by several complex factors not only at the individual level but also at the family and community levels. A comprehensive synthesis of the available evidence on the determinants of stunting in children in Indonesia outlines who is most vulnerable to stunting, which interventions are successful, and what new research is needed to fill knowledge gaps. Keywords: Indonesian toddlers, stunting factors References: Adair, L. S., & Guilkey, D. K. (1997). 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Reuse-centric CNN acceleration speeds up CNN inference by reusing computations for similar neuron vectors in CNN’s input layer or activation maps. This new paradigm of optimizations is however largely limited by the overheads in neuron vector similarity detection, an important step in reuse-centric CNN. This paper presents an in-depth exploration of architectural support for reuse-centric CNN. It addresses some major limitations of the state-of-the-art design, and proposes a novel hardware accelerator which improves neuron vector similarity detection and reduces the energy consumption of reuse-centric CNN inference. The accelerator is implemented to support a wide variety of neural network settings with a banked memory subsystem. Design exploration is performed through RTL simulation and synthesis on an FPGA platform. When integrated into Eyeriss, the accelerator can potentially provide improvements up to 7.75X in performance. Furthermore, it can reduce the energy used for similarity detection up to 95.46%, and it can accelerate the convolutional layer up to 3.63X compared to the software-based implementation running on the CPU.

The textile industry is one of the producers of liquid waste that contains many synthetic dyes and difficult to decompose such as methylene blue (MB). Approximately 15-20% of the MB products that cannot be reused will go into the wastewater which eventually be drained into the catchment waters. This causes a variety of negative impacts, especially in the water environment. One way to prevent this problem is by decomposing the dye using UV light and accelerating the decomposition process with the photocatalysts, namely silver nanoparticles. The purpose of this study is to determine the optimal conditions for the photodegradation process of MB dyes, and the effectiveness of the degradation of MB dye under optimal conditions. The search was conducted by firstly finding the optimal conditions of the photocatalyst / NPAg volume, irradiation time, and pH. The optimal condition was then applied to photodegrade various concentrations of MB to determine the effectiveness of the process. The results showed the optimal condition of MB photodegradation was 10 mL of photocatalyst / NPAg, 60 minute irradiation time at pH 4. Under such condition, the method effectively degraded 98.21% of100 ppm MB. The method used is also effective for MB up to 150 ppm because it is able to degrade almost 100%. Keywords: photocatalyst, photodegradation, NPAg, methylene blue, plumeria rubra.

As the machine learning and systems communities strive to achieve higher energy-efficiency through custom deep neural network (DNN) accelerators, varied precision or quantization levels, and model compression techniques, there is a need for design space exploration frameworks that incorporate quantization-aware processing elements into the accelerator design space while having accurate and fast power, performance, and area models. In this work, we present QUIDAM , a highly parameterized quantization-aware DNN accelerator and model co-exploration framework. Our framework can facilitate future research on design space exploration of DNN accelerators for various design choices such as bit precision, processing element type, scratchpad sizes of processing elements, global buffer size, number of total processing elements, and DNN configurations. Our results show that different bit precisions and processing element types lead to significant differences in terms of performance per area and energy. Specifically, our framework identifies a wide range of design points where performance per area and energy varies more than 5 × and 35 ×, respectively. With the proposed framework, we show that lightweight processing elements achieve on par accuracy results and up to 5.7 × more performance per area and energy improvement when compared to the best INT16 based implementation. Finally, due to the efficiency of the pre-characterized power, performance, and area models, QUIDAM can speed up the design exploration process by 3-4 orders of magnitude as it removes the need for expensive synthesis and characterization of each design.

Data reconstruction is the most essential step in seismic data processing. Although the compressed sensing (CS) theory breaks through the Nyquist sampling theorem, we previously proved that the CS-based reconstruction of spatially irregular seismic data could not fully meet the theoretical requirements, resulting in low reconstruction accuracy. Although deep learning (DL) has great potential in mining features from data and accelerating the process, it faces challenges in earth science such as limited labels and poor generalizability. To improve the generalizability of deep neural network (DNN) in reconstructing seismic data in the actual situation of limited labeling, this paper proposes a method called CSDNN that combines model-driven CS and data-driven DNN to reconstruct the spatially irregular seismic data. By physically constraining neural networks, this method increases the generalizability of the network and improves the insufficient reconstruction caused by the inability to sample randomly in the whole data definition domain. Experiments on the synthetic and field seismic data show that the CSDNN reconstruction method achieves better performance compared with the conventional CS method and DNN method, including those with low sampling rates, which verifies the feasibility, effectiveness and generalizability of this approach.

A new hydroprocessed depolymerized cellulosic diesel (HDCD) fuel has been developed using a process which takes biomass feedstock (principally cellulosic wood) to produce a synthetic fuel that has nominally ½ cycloparaffins and ½ aromatic hydrocarbons in content. This HDCD fuel with a low cetane value (derived cetane number from the ignition quality tester, DCN = 27) was blended with naval distillate fuel (NATO symbol F-76) in various quantities and tested in order to determine how much HDCD could be blended before diesel engine operation becomes problematic. Blends of 20% HDCD (DCN = 45), 30%, 40% (DCN = 41), and 60% HDCD (DCN = 37) by volume were tested with conventional naval distillate fuel (DCN = 49). Engine start performance was evaluated with a conventional mechanically direct injected (DI) Yanmar engine and a Waukesha mechanical indirect injected (IDI) Cooperative Fuels Research (CFR) diesel engine and showed that engine start times increased steadily with increasing HDCD content. Longer start times with increasing HDCD content were the result of some engine cycles with poor combustion leading to a slower rate of engine acceleration toward rated speed. A repeating sequence of alternating cycles which combust followed by a noncombustion cycle was common during engine run-up. Additionally, steady-state engine testing was also performed using both engines. HDCD has a significantly higher bulk modulus than F76 due to its very high aromatic content, and the engines showed earlier start of injection (SOI) timing with increasing HDCD content for equivalent operating conditions. Additionally, due to the lower DCN, the higher HDCD blends showed moderately longer ignition delay (IGD) with moderately shorter overall burn durations. Thus, the midcombustion metric (CA50: 50% burn duration crank angle position) was only modestly affected with increasing HDCD content. Increasing HDCD content beyond 40% leads to significantly longer start times.

Plants get stressed when they are out of optimum living conditions. When the stress conditions exceed toleration level, they cause lots of sequential damages that are very difficult to repair for physical, biochemical and molecular mechanism of plants. The recent studies intended for strengthening resistance mechanism at gene level is also one of the popular research subjects. In this context, clearing up genes supplying resistance for plants (especially as food) which are exposed to instant temperature changes may provide convenience for other researchers to prevent loss of yield. In this study, changes of genes belonging to the enzyme named alternative oxidase (AOX) which is known to be active at low temperatures and located in mitochondrial ETS (electron transport system) by applying a substance named 2,4 dinitrophenol on corn seeds (Zea mays) were tried to be determined exogenously. It is known that AOX tranfers electrons to oxygen to prevent occuring reactive oxygen species with accelerating respiration at low temperatures. Besides, it is also known as that AOX causes available energy spread as heat since it prevents occurrence of necessary electrochemical gradient for ATP synthesis. It was seen that dinitrophenol (DNP) known as slimming medicine in literature reviews is a chemical substance which disrupts electrochemical gradient and inhibits ATP synthesis, spreads available energy as heat. This similarity between AOX and DNP has directed us to research working mechanism of DNP and AOX. Finally, it was seen that DNP increases resistance against cold by stimulating AOX gene expression and repressing ATP synthase expression.

One of the key objectives in geophysics is to characterize the subsurface through the process of analyzing and interpreting geophysical field data that are typically acquired at the surface. Data-driven deep learning methods have enormous potential for accelerating and simplifying the process but also face many challenges, including poor generalizability, weak interpretability, and physical inconsistency. We present three strategies for imposing domain knowledge constraints on deep neural networks (DNNs) to help address these challenges. The first strategy is to integrate constraints into data by generating synthetic training datasets through geological and geophysical forward modeling and properly encoding prior knowledge as part of the input fed into the DNNs. The second strategy is to design nontrainable custom layers of physical operators and preconditioners in the DNN architecture to modify or shape feature maps calculated within the network to make them consistent with the prior knowledge. The final strategy is to implement prior geological information and geophysical laws as regularization terms in loss functions for training the DNNs. We discuss the implementation of these strategies in detail and demonstrate their effectiveness by applying them to geophysical data processing, imaging, interpretation, and subsurface model building.

FPGA-based accelerators are becoming increasingly popular for deep neural network inference due to their ability to scale performance with increasing degree of specialization with dataflow architectures or custom data type precision. In order to reduce the barrier for software engineers and data scientists to adopt FPGAs, C++- and OpenCL-based design entries with high-level synthesis (HLS) have been introduced. They provide higher abstraction compared to register-transfer level (RTL)-based design. HLS offers faster development time, better maintainability and more flexibility in code exploration, when evaluating several options for multi-dimension tensors, convolutional layers or different degrees of parallelism. For this reason, HLS has been adopted by DNN accelerator generation frameworks such as FINN and hls4ml. In this paper, we present an alternative backend library for FINN, leveraging RTL. We investigate and evaluate, across a spectrum of design dimensions, the pros and cons of an RTL-based implementation versus the original HLS variant. We show that for smaller design parameters, RTL produces significantly smaller circuits as compared to HLS. For larger circuits, however, the look-up table (LUT) count of RTL-based design is slightly higher, up to around \(15\% \) . On the other hand, HLS consistently requires more flip-flops (FFs) (with an orders-of-magnitude difference for smaller designs) and block RAMs (BRAMs) (2 × more). This also impacts the critical path delay, with RTL producing significantly faster circuits, up to around \(80\% \) . Furthermore, RTL also benefits from at-least a 10 × reduction in synthesis time. Finally, the results were validated in practice using two real-world use cases, one of a multi-layer perceptron (MLP) used in network intrusion detection and the other a convolution network called ResNet used in image recognition. Overall, since HLS frameworks code-generate the hardware design, the benefits of the ease in the design entry is less important. As such, the gained benefits in synthesis time together with some design-dependent resource benefits, make the RTL abstraction an attractive alternative.