317 research outputs found
Synthesis and Anticancer Activity of 4β-Triazole-podophyllotoxin Glycosides
AbstractThe objective of present study was to investigate the effect of various sounds on the green mustard’s (Brassica Juncea) morphology characteristic and productivity. The plant has been subjected to three various sound, namely classical music (rhythmic violin music), machine and traffic noise, and mixed sound (classical music and traffic noise) with 70-75 dB sound pressure level, from germination to harvest for three hours (7-10 am.) each day. Six parameters, i.e. germination, plant height, leaf width, leaf lenght, total plant lenght, and fresh weight, related with growth and productivity of plant were been monitored on regular basis.The results showed classical music improves germination up to 15% for 36 hours, plant height 13,5%, leaf width 14,8%, leaf length 14,2%, and wet weight 57,1%. In general, exposure to classical music gives thebest results on the morphological characteristics and productivity of green mustard.Keywords: Sound exposure, plant morphology , productivity, green mustardAbstrakPenelitian ini bertujuan untuk menginvestigasi efek paparan variasi suara terhadap karakteristik morfologi dan produktivitas tanaman sawi hijau. suara yang dipaparkan antara lain musik klasik (suara biola), bising lalu lintas dan mesin industri (noise) dan campuran antara musik klasik dan noise. Level suara yang digunakan berkisar antara 70-75 dB dimulai sejak masa perkecambahan hingga panen selama 3 jam tiap harinya dimulai pukul 07.00-10.00. Enam parameter yang diamati dan diambil datanya meliputi, daya berkecambah, tinggi tanaman, lebar daun, panjang daun, panjang tanaman total dan berat basah. Hasil penelitian menunjukkan bahwa musik klasik meningkatkan daya berkecambah sebesar 15%, tinggi tanaman sebesar 13,5%, lebar daun sebesar 14,8%, panjang daun sebesar 14,2%, dan berat basah sebesar 57,1%. Secara umum paparan musik klasik memberikan hasil terbaik terhadap karakteristik morfologi dan produktivitas sawi hijau.Kata kunci: Paparan suara, morfologi, produktivitas, sawi hijauDiterima: 21 Oktober 2013;Disetujui: 28 Januari 201
Geographical Origin Traceability of Red Wines Based on Chemometric Classification via Organic Acid Profiles
A preliminary study on the chemometric classification of red wines produced from different grape varieties and geographical origins was performed based on their chromatographic profiles of organic acids. Tartaric, malic, citric, lactic, acetic, and succinic acids in wines were detected via high performance liquid chromatography (HPLC). Employing multivariate statistical methods including principal component analysis (PCA) and linear discriminant analysis (LDA), pattern recognition models were built for the classification of the investigated wines regarding the grape varieties and geographical origins. The PCA clearly grouped the wines according to variety, and the LDA further offered 100% classification ability toward geographical identification of the wines and the leave-one-out cross-validated assignments were 100%, 86.7%, and 100% correct for Cabernet Sauvignon, Merlot, and Pinot Noir wines, respectively. The results reveal the potential of using chromatographic profiles of organic acid as the characteristic indices for chemometric classification of red wines
The Reaction of Allyl Isothiocyanate with Hydroxyl/Water and β-Cyclodextrin Using Ultraviolet Spectrometry
Metodom ultraljubičaste spektrofotometrije istražena je reakcija alil izotiocijanata (AITC) s hidroksilom/vodom i β-ciklodekstrinom (β-CD) u mediju različite kiselosti odnosno lužnatosti. Mjereni su kinetički parametri reakcije. Utvrđeno je da se, nakon što AITC prijeđe u tioureu, apsorpcijski pik pomakne s 240 na 226 nm i da molarna apsorpcija poraste 16 puta. Reakcija se može okarakterizirati kao pseudoreakcija prvog reda jer je konstantna koncentracija hidroksila. β-CD može inhibirati reakciju AITC s hidroksilom/vodom, tj. hidrolizu AITC. Izračunati su konstanta nastajanja (Ka) i termodinamički parametri kompleksne reakcije. S povećanjem temperature smanjuje se Ka. Rezultati pokusa pokazuju da proces uključuje egzotermnu reakciju koju pokreće entalpija praćena negativnom entropijom.The reaction of allyl isothiocyanate (AITC) with hydroxyl/water and β-cyclodextrin (β-CD) in different acidic-alkaline media has been investigated by ultraviolet spectrometry. The kinetic parameters of the reaction were measured. It was found that after AITC translating into thiourea, the absorption peak shifted from 240 to 226 nm and the molar absorptivity increased about 16 times. The reaction can be seen as a pseudo first order reaction because the concentration of hydroxyl was constant. β-CD can inhibit the reaction of AITC with hydroxyl/water, i.e. the hydrolysis of AITC. The formation constant (Ka) and thermodynamic parameters of the complex reaction were calculated. Ka decreased with the increase of temperature. The experimental results indicated that the inclusive process was an exothermic and enthalpy-driven process accompanied with a negative entropic contribution
Applying hybrid clustering in pulsar candidate sifting with multi-modality for FAST survey
Pulsar search is always the basis of pulsar navigation, gravitational wave
detection and other research topics. Currently, the volume of pulsar candidates
collected by Five-hundred-meter Aperture Spherical radio Telescope (FAST) shows
an explosive growth rate that has brought challenges for its pulsar candidate
filtering System. Particularly, the multi-view heterogeneous data and class
imbalance between true pulsars and non-pulsar candidates have negative effects
on traditional single-modal supervised classification methods. In this study, a
multi-modal and semi-supervised learning based pulsar candidate sifting
algorithm is presented, which adopts a hybrid ensemble clustering scheme of
density-based and partition-based methods combined with a feature-level fusion
strategy for input data and a data partition strategy for parallelization.
Experiments on both HTRU (The High Time Resolution Universe Survey) 2 and FAST
actual observation data demonstrate that the proposed algorithm could
excellently identify the pulsars: On HTRU2, the precision and recall rates of
its parallel mode reach 0.981 and 0.988. On FAST data, those of its parallel
mode reach 0.891 and 0.961, meanwhile, the running time also significantly
decrease with the increment of parallel nodes within limits. So, we can get the
conclusion that our algorithm could be a feasible idea for large scale pulsar
candidate sifting of FAST drift scan observation
Superconductivity emerged from density-wave order in a kagome bad metal
Unconventional superconductivity (USC) in a highly correlated kagome system
has been theoretically proposed for years, yet the experimental realization is
hard to achieve. The recently discovered vanadium-based kagome materials, which
exhibit both superconductivity and charge density wave (CDW) orders, are
nonmagnetic and weakly correlated, thus unlikely host USC as theories proposed.
Here we report the discovery of a chromium-based kagome bad metal,
CsCrSb, which is contrastingly characterised by significant electron
correlations and frustrated magnetism. Successive phase transitions at 54
K with stripe-like structural modulations are observed, probably
associated with CDW and antiferromagnetic spin-density-wave (SDW) orderings.
Under moderately high pressures of 4-8 GPa, these density-wave orders are
suppressed and, remarkably, superconductivity emerges with a maximum
of 6.4 K. A quantum critical point at 4
GPa is revealed, by which non-Fermi-liquid behaviours show up, reminiscent of
USC in iron-based superconductors. The electronic structure calculations
indicate that the electron filling is close to the characteristic flat bands of
the kagome lattice. Our work offers an unprecedented platform for investigating
the mechanism of USC in a correlated kagome system.Comment: 26 pages, 10 figure
Functional building blocks for scalable multipartite entanglement in optical lattices
Featuring excellent coherence and operated parallelly, ultracold atoms in
optical lattices form a competitive candidate for quantum computation. For
this, a massive number of parallel entangled atom pairs have been realized in
superlattices. However, the more formidable challenge is to scale-up and detect
multipartite entanglement due to the lack of manipulations over local atomic
spins in retro-reflected bichromatic superlattices. Here we developed a new
architecture based on a cross-angle spin-dependent superlattice for
implementing layers of quantum gates over moderately-separated atoms
incorporated with a quantum gas microscope for single-atom manipulation. We
created and verified functional building blocks for scalable multipartite
entanglement by connecting Bell pairs to one-dimensional 10-atom chains and
two-dimensional plaquettes of atoms. This offers a new platform
towards scalable quantum computation and simulation
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