Academic literature on the topic 'Desikanty'

Ginger is a spice plant that is usually used as a seasoning in cooking or raw material for medicine, traditional or industrial medicine. Ginger has a high-water content so its easily contaminated with microbes and has active ingredients (gingerol) which are easily damaged by high temperatures. Ginger drying is intended for maintaining the quality of dry ginger and keep ginger from microbes. The drying process has done in continuously with solar dryer using flat plate type collector during the day and at night using the Molecular Sieve 13x desiccant. Drying varies the thickness of ginger 2 mm, 4 mm, and 6 mm, and the amount ratio of desiccant: 1:1; 1:2; and 1:3. To get drying characteristics, every 1-hour mass calculated using an electric scale, and data logger every 5 minutes calculates the temperature and humidity rate (RH) in the drying chamber. The result from ginger drying is the thickness of 6 mm needed more than 20 hours of drying process so that it needed the combination of dryer compared to other thickness, and from quality analysis results of dry ginger, ash content parameters already accordance with SNI standards, and 1:1 material and desiccant ratio is the variation that most closely matches the SNI standard.

Dry air is widely used in many fields, but the excessive water vapor in the air will make some problem and should be minimized to get the required dry air. The purpose of this research to observe the effect of air velocity and various of desiccants on the absorption of water vapor in the air on the tray dryer. The process of absorption of water vapor in the air performed with variations of the normal air velocity, 1.2 m/s, 2.3 m/s, and 3.6 m/s or volumetric rate of 0.059 m3/s; 0.113 m3/s; 0.178 m3/s and the type of desiccant of silica gel, alumina, and zeolite. Adsorption of water vapor in the air by desiccant was done by weighing the mass of desiccant before and after being crossed by air every interval of 60 minutes for 3 hours. Humidity measurement are performed on the upstream and downstream of the tray dryer to obtain a decrease in air humidity. The highest moisture adsorption using silica gel was obtained at velocities of 2.3 m/s and 3.6 m/s with adsorption of 0.266 grams water vapor / grams adsorbent and 0.264 grams water vapor / grams adsorbent as well as humidity of final air of 0.0194 kg water vapor/ kg dry air and 0.0198 kg water vapor/ kg dry air . The highest adsorption of water vapor using alumina was obtained at velocities of 2.3 m/s and 3.6 m/s with adsorption of 0.147 grams water vapor / gram adsorbent and 0.140 grams water vapor / gram adsorbent and the final humidity of 0.0207 kg water vapor / kg dry air and 0.0194 kg water vapor / kg dry air and the highest water vapor adsorption using zeolite was obtained at 3.6 m/s with the adsorption capacity of 0.130 grams water vapor / grams adsorbent and the final humidity of 0.0193 kg water vapor / kg dry air. Silica gel was the best desiccant in the process of moisture adsorption in air compared to alumina and zeolite.

Advances in magnetic resonance imaging, particularly diffusion imaging, have allowed researchers to analyze brain connectivity. Identification of structural connectivity differences between patients with normal cognition, cognitive impairment, and dementia could lead to new biomarker discoveries that could improve dementia diagnostics. In our study, we analyzed 22 patients (11 control group patients, 11 dementia group patients) that underwent 3T MRI diffusion tensor imaging (DTI) scans and the Montreal Cognitive Assessment (MoCA) test. We reconstructed DTI images and used the Desikan–Killiany–Tourville cortical parcellation atlas. The connectivity matrix was calculated, and graph theoretical analysis was conducted using DSI Studio. We found statistically significant differences between groups in the graph density, network characteristic path length, small-worldness, global efficiency, and rich club organization. We did not find statistically significant differences between groups in the average clustering coefficient and the assortativity coefficient. These statistically significant graph theory measures could potentially be used as quantitative biomarkers in cognitive impairment and dementia diagnostics.

<p align="center"><strong><em>ABSTRACT</em></strong></p><p><em>In vitro breeding technique of citrus is effective when optimum explant regeneration method is obtained. Low germination frequency and high abnormality were barrier in citrus somatic embryogenesis. This research aimed at optimizing somatic embryogenesis in Tangerine var. Batu 55. This research consisted of 3 experiments. First experiment was maturation of embryogenesis, using Completely Randomized Design (CRD) method. Modified MS+MW was used as basic media added with 500 mg L^-1malt extract (control) and addition of 3 mg L^-1 BAP, and 2.5 mg L^-1 ABA as treatments. Second experiment was SE (cotyledonary phage) desiccation. Factorial CRD used in two factors. First factor was poly-ethylene-glicol/PEG 8000 (0, 2.5, 5, 7.5 and 10%), while second factor was immersed periods (control, 3, 6, and 9 hours), in desiccant solution (base medium + PEG). Third experiment was studied of plantlet growth and development planlets. Based on CRD 2 factor method, the first factor was PEG concentrations from the second experiment. Second factor were active charcoal treatments (with or without), in basic media. The result showed that 2.5 mg L^-1 ABA produced has highest mature somatic embryo (SE). Desiccation for 9 hours, induced the highestt germination frequencies (90.29%). The best growth of plantlets shown in previous experiments immersed desiccant PEG 2.5% for 9 hours, and cultured in basic media with 2 g L^-1 of activated charcoal.</em></p><p><em>Keywords: desiccant, embryogenic callus, maturation, PEG 8000, somatic embryo</em></p><p align="center"><strong> </strong></p><p align="center"><strong>ABSTRAK</strong><strong> </strong></p><p>Pemuliaan tanaman melalui teknik <em>in vitro</em> efektif bila metode regenerasi eksplan optimum telah diperoleh. Rendahnya frekuensi perkecambahan dan tingginya abnormalitas, menjadi kendala pada embriogenesis somatik jeruk. Penelitian terdiri atas 3 percobaan paralel, bertujuan mengoptimalkan metode embriogenesis somatik jeruk, khususnya Keprok Batu 55. Percobaan pertama pematangan kalus embriogenik menggunakan Rancangan Acak Lengkap (RAL) satu faktor, dengan perlakuan penambahan ZPT (kontrol, 3 mg L^-1 BAP, dan 2.5 mg L^-1 ABA) pada media dasar (MS modifikasi vitamin MW) diperkaya 500 mg L^-1 ekstrak malt. Percobaan kedua desikasi embrio somatik (fase kotiledon) menggunakan RAL dua faktor. Faktor pertama konsentrasi <em>poly-ethylene-glicol/</em>PEG 8000 (0, 2.5, 5, 7.5 dan 10%), dan faktor kedua waktu perendaman (kontrol, 3, 6, dan 9 jam) pada larutan desikan (media dasar + PEG). Percobaan ketiga mempelajari pertumbuhan dan perkembangan planlet, menggunakan RAL dua faktor. Faktor pertama konsentrasi PEG planlet pada percobaan kedua, dan faktor kedua perbedaan media dasar (tanpa dan dengan arang aktif). Hasil percobaan menunjukkan penambahan 2.5 mg L^-1 ABA menghasilkan maturasi embrio somatik terbaik. Desikasi 9 jam menghasilkan frekuensi perkecambahan 90.29%. Pertumbuhan terbaik ditunjukkan planlet yang pada percobaan sebelumnya direndam 9 jam desikan PEG 2.5%, dan dibesarkan pada media dasar dengan 2 g L^-1arang aktif.</p><p>Kata kunci : desikan, embrio somatik, kalus embriogenik, PEG 8000, pematangan</p>

We propose a new supervised learning algorithm for classification and regression problems where two or more preliminary predictors are available. We introduce KernelCobra, a non-linear learning strategy for combining an arbitrary number of initial predictors. KernelCobra builds on the COBRA algorithm introduced by Biau et al. (2016), which combined estimators based on a notion of proximity of predictions on the training data. While the COBRA algorithm used a binary threshold to declare which training data were close and to be used, we generalise this idea by using a kernel to better encapsulate the proximity information. Such a smoothing kernel provides more representative weights to each of the training points which are used to build the aggregate and final predictor, and KernelCobra systematically outperforms the COBRA algorithm. While COBRA is intended for regression, KernelCobra deals with classification and regression. KernelCobra is included as part of the open source Python package Pycobra (0.2.4 and onward), introduced by Srinivasa Desikan (2018). Numerical experiments were undertaken to assess the performance (in terms of pure prediction and computational complexity) of KernelCobra on real-life and synthetic datasets.

The human brain comprises an efficient communication network, with its macroscale connectome organization argued to be directly associated with the underlying microscale organization of the cortex. Here, we further examine this link in the human brain cortex by using the ultrahigh-resolution BigBrain dataset; 11,660 BigBrain profiles of laminar cell structure were extracted from the BigBrain data and mapped to the MRI based Desikan–Killiany atlas used for macroscale connectome reconstruction. Macroscale brain connectivity was reconstructed based on the diffusion-weighted imaging dataset from the Human Connectome Project and cross-correlated to the similarity of laminar profiles. We showed that the BigBrain profile similarity between interconnected cortical regions was significantly higher than those between nonconnected regions. The pattern of BigBrain profile similarity across the entire cortex was also found to be strongly correlated with the pattern of cortico-cortical connectivity at the macroscale. Our findings suggest that cortical regions with higher similarity in the laminar cytoarchitectonic patterns have a higher chance of being connected, extending the evidence for the linkage between macroscale connectome organization and microscale cytoarchitecture.

Normal aging is associated with functional and structural alterations in the human brain. The effects of normal aging and gender on morphological changes in specific regions of the brain are unknown. The fractal dimension (FD) can be a quantitative measure of cerebral folding. In this study, we used 3D-FD analysis with the Desikan–Killiany (DK) atlas to assess subregional morphological changes in adulthood. A total of 258 participants (112 women and 146 men) aged 30–85 years participated in this study. Participants in the middle-age group exhibited a decreased FD in the lateral frontal lobes, which then spread to the temporal and parietal lobes. Men exhibited an earlier and more significant decrease in FD values, mainly in the right frontal and left parietal lobes. Men exhibited more of a decrease in FD values in the subregions on the left than those in the right, whereas women exhibited more of a decrease in the lateral subregions. Older men were at a higher risk of developing mild cognitive impairment (MCI) and exhibited age-related memory decline earlier than women. Our FD analysis using the DK atlas-based prediagnosis may provide a suitable tool for assessing normal aging and neurodegeneration between groups or in individual patients.

Peran benih dari perbanyakan generatif sangat besar. Benih berkualitas biasanya disediakan oleh perkebunan besar yang jauh dari perkebunan petani kecil sehingga pengiriman benih membutuhkan waktu lama. Hal ini dapat menyebabkan penurunan kualitas biji kakao. upaya untuk menjaga kualitas benih dengan perlakuan pektin desiccant dan Polyethylene glycol 6000. Penelitian ini bertujuan untuk menganalisis pengaruh pemberian bahan pengering, lama penyimpanan, dan interaksi keduanya dalam menjaga kualitas biji kakao. Penelitian ini dilakukan di Pusat Penelitian Kopi dan Kakao Indonesia, Jember. Penelitian yang digunakan adalah Rancangan Acak Lengkap (RAL) Faktorial yang diulang dua kali. Faktor pertama adalah desikan dan faktor kedua adalah lama penyimpanan. Hasil penelitian menunjukkan bahwa bahan pengeringan memiliki pengaruh yang signifikan pada galat 1% terhadap kadar air, tingkat perkecambahan, dan indeks vigor biji kakao, dan pada tingkat 5% terhadap benih berjamur selama penyimpanan, tidak signifikan dalam Berat biji setelah disimpan. Lama penyimpanan secara signifikan pada galat 1% mempengaruhi kadar air, tingkat perkecambahan biji, dan terbukti dalam perdagangan 5% dari indeks vigor benih kakao, tidak signifikan dalam berat benih setelah simpan, dan benih berkecambah selama penyimpanan. Pengaruh kedua faktor memiliki pengaruh yang signifikan pada galat 1% terhadap kadar air, benih berjamur selama penyimpanan, perkecambahan, dan indeks vigor benih, dan tidak ada pengaruh yang signifikan terhadap berat benih setelah penyimpanan dan benih berkecambah dalam penyimpanan.

This diploma thesis focuses on polar pesticides and their analysis in agricultural commodities. One of the aims was establishing of the method for quantitative determination of diquat and paraquat using liquid chromatography with tandem mass spectrometry. Optimization parameters based on the European reference laboratories recommendations, availability of laboratory equipment and method suitability for routine analyses were taken into account. Extraction of analytes was based on shaking with acidified methanol with formic or hydrochloric acid. Considering the matrix complexity, purification with sorbents and/or acetonitrile precipitation were applied. Method validation was carried out on several levels for selected representative agricultural commodities. Part of the thesis is a field experiment where potatoes plants were sprayed with the diquat active substance. Samples of treated plants and tubers were analyzed for diquat residues. The validated method was also used for screening of diquat and paraquat residues in feed samples collected within official controls of the Central Institute for Supervising and Testing in Agriculture in 2020. The final method enables to analyze diquat and paraquat with sensitivity suitable for the maximal residue limit controls.