475 research outputs found

    PENGGUNAAN SELASIH DALAM PENGENDALIAN HAMA LALAT BUAH PADA MANGGA

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    ABSTRAKPenelitian dilakukan di Kabupaten Sumedang pada bulan Januarihingga April 2009 dengan tujuan untuk menggali kearifan lokalpenggunaan selasih dalam pengendalian hama lalat buah. Sumedangmerupakan sentra produksi mangga, sehingga menjadi sumber matapencaharian utama bagi beberapa petani. Lalat buah merupakan hamautama pada komoditas mangga di Sumedang yang mengakibatkankerugian berupa kuantitas dengan rontoknya buah-buahan yang terserangdan berupa kualitas, yaitu busuknya mangga yang terserang. Penelitiandirancang dalam acak kelompok, empat perlakuan dan enam ulangan.Perlakuan terdiri dari pestisida nabati formula petani berupa (1) air sulingselasih, (2) minyak selasih petani, (3) minyak selasih yang diproses diBalittro, (4) atraktan lalat buah yang sudah dikomersialkan (pembanding).Semua formula diteteskan sebanyak 0,25 ml pada gumpalan kapas, kecualiair suling selasih dengan cara mencelupkan kapas ke dalam air sulingnya,kemudian ditempatkan di dalam botol perangkap yang terbuat dari botolminuman air mineral volume 600 ml dan digantungkan pada pohonmangga setinggi 2 m di atas permukaan tanah yang ditempatkan secaraacak. Penempatan perangkap dilakukan pada enam blok kebun yangterpisah dan merupakan ulangan. Aplikasi formula hanya dilakukan satukali, untuk melihat daya tahan masing-masing formula dalam me-merangkap lalat buah di lapangan. Pengamatan dilakukan setiap mingguterhadap jumlah, jenis dan kelamin lalat buah yang terperangkap sertakandungan bahan aktif pada masing-masing formula dengan menggunakanGas Kromatografi. Aspek sosial ekonomi dilakukan terhadap 30 orangpetani yang diambil secara acak, termasuk pedagang buah dengan carawawancara melalui kuesioner yang telah dipersiapkan. Hasil penelitianmenunjukkan bahwa penggunaan pestisida selasih sebagai atraktan untukmengendalikan hama lalat buah, dapat menurunkan penggunaan pestisidasebanyak 62%, menurunkan tingkat kerusakan buah-buahan sebesar 34%dan meningkatkan hasil sebesar 73%. Air suling selasih dengan kandunganmetil eugenol sebesar 0,46% mampu memerangkap hama lalat buahselama satu minggu, setelah itu perlu aplikasi ulang pada setiapminggunya, sedangkan minyak selasih hasil petani dengan kandunganmetil eugenol sebesar 77,9% mampu memerangkap hama lalat buahselama satu bulan, setara dengan minyak selasih yang diproses di Balittrodengan kandungan metil eugenol sebesar 73,6% dan lebih baik daripadaatraktan lalat buah komersial yang mengandung metil eugenol sebesar75%. Lalat buah yang terperangkap didominasi oleh spesies Bactroceradorsalis (97%) dan sisanya adalah Bactrocera umbrosus (3%) sertadidominasi oleh lalat buah berkelamin jantan.Kata kunci : Ocimum minimum, Bactrocera dorsalis, Mangifera indicaABSTRACTUsing Ocimum spp. on controlling fruit flies on mangoThe objective of the research is to digest indigenous technology(local wisdom) of using botanical pesticide in controlling fruit flies.Research was conducted by evaluating the effectiveness of farmerstechnology (indigenous knowledge) in formulating botanical pesticide forcontrolling fruit flies (fruit flies attractant), compared to fruit fliesattractant formulated in the laboratory of Indonesian Medicinal andAromatic Research Institute (IMACRI) and commercial fruit fliesattractant. Research was arranged by randomized block design, fourtreatments and six replications. Treatments consist of (1) farmerstechnology, i.e. distilled water of basil (Ocimum spp.), (2) farmerstechnology, i.e. essential oil of basil (Ocimum spp.), (3) essential oil ofbasil formulated in IMACRI and (4) commercial attractant. Each formulawas dropped as much as 0.25 ml on cotton bud, except distilled water ofbasil which is applied by dipping the cotton bud into the distilled water,placing it in the trap made from 600 ml volume drinking water, thenhanging it as high as 2 m on the mango tree. Dropping of formula wasdone just one time to evaluate the duration of attractant on trapping fruitflies in the field. Observations were done every week on the number,species, sex ratio of fruit flies trapped, and the duration of attractant abilityon trapping fruit flies in the field. The active ingredient of formula wasanalyzed by Gas Chromatograph conducted in IMACRI. The social andeconomy aspects were done by interviewing the farmers throughquestionnaires. The number of the farmers interviewed were 30 farmers,including the trader of mango. Result showed that indigenous technologyof the farmer was effective and efficient since it can decrease the use ofpesticide as much as 62% and decrease fruit damage as much as 34% andincrease their income as much as 73%. Technology of farmers in the formof distilled water of basil could stand as long as a week on trapping fruitflies, hence its application must be repeated every week. Meanwhile in theform of essential oil could stand for one month and is not significantlydifferent with attractant formulated in IMACRI, even better thancommercial attractant, hence its application can be done every month.Only male fruit flies can be trapped and most of them consist ofBactrocera dorsalis species (97%) and the rest is Bactrocera umbrosusspecies (3%). The active ingredient content (Methyl eugenol – C 12  H 24 O 2 )in the distilled water of basil is 0.43%. Meanwhile in essential oil of thefarmer is 77.9% and in essential oil of IMACRI is 73.6% and incommercial attractant is 75%.Key words : Ocimum minimum, Bactrocera dorsalis, Mangifera indic

    Generic DFT approach for pattern sensitive faults in word-orientedmemories

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    The testability problem of word-oriented memories (WOMs) for pattern sensitive faults is addressed. A novel design for testability (DFT) strategy allows efficient built-in self-testing (BIST) of WOMs. By proper selection of the memory array tiling scheme, it is possible to implement O(n) BIST algorithms which test WOMs for various types of neighbourhood pattern sensitive faults (NPSFs). The inputs of the column decoders are modified to allow parallel writing into multiple words, and coincidence comparators are added to allow parallel verification of row data with minimal effect on chip area and performanc

    Generic DFT approach for pattern sensitive faults in word-orientedmemories

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    The testability problem of word-oriented memories (WOMs) for pattern sensitive faults is addressed. A novel design for testability (DFT) strategy allows efficient built-in self-testing (BIST) of WOMs. By proper selection of the memory array tiling scheme, it is possible to implement O(n) BIST algorithms which test WOMs for various types of neighbourhood pattern sensitive faults (NPSFs). The inputs of the column decoders are modified to allow parallel writing into multiple words, and coincidence comparators are added to allow parallel verification of row data with minimal effect on chip area and performanc

    Radium Isotopes Levels in Drinking-Water Samples

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    Water is one of the most necessary substances on earth. In order to survive, all plants, animals and humans must drink water, and there is no life on earth if there is no water. Hence, water should be uncontaminated with any type of carcinogenic materials such as heavy metals, radioactivity or other pollutants and must be clear. In this work, drinking-water samples were examined and analyzed for radionuclide levels using NaI gamma spectrometer, as well as, estimated annual effective dose (AED) has been calculated. The values of 226Ra, 228Ra and 40K levels range from (0.12-0.35)Bq.L-1, (0.09-0.16)Bq.L-1 and (31.66-49.25)Bq.L-1, with mean values 0.29, 0.12 and 43.39 Bq.L-1, respectively. The total estimated annual effective dose gained from the combined ingestion of radium isotopes is found to start from 0.07 mSv.y-1 to 0.14 mSv.y-1 with an average value of 0.12 mSv.y-1. Therefore, the total (AED) for all samples is below the world standard value of 1mSv.y-1. Hence, drinking water is considered safe from the radiological point view and does not cause any significant health hazard for Baghdadi inhabitants

    Localized inhibition in the Drosophila mushroom body

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    Many neurons show compartmentalized activity, in which activity does not spread readily across the cell, allowing input and output to occur locally. However, the functional implications of compartmentalized activity for the wider neural circuit are often unclear. We addressed this problem in the Drosophila mushroom body, whose principal neurons, Kenyon cells, receive feedback inhibition from a non-spiking interneuron called the anterior paired lateral (APL) neuron. We used local stimulation and volumetric calcium imaging to show that APL inhibits Kenyon cells’ dendrites and axons, and that both activity in APL and APL’s inhibitory effect on Kenyon cells are spatially localized (the latter somewhat less so), allowing APL to differentially inhibit different mushroom body compartments. Applying these results to the Drosophila hemibrain connectome predicts that individual Kenyon cells inhibit themselves via APL more strongly than they inhibit other individual Kenyon cells. These findings reveal how cellular physiology and detailed network anatomy can combine to influence circuit function

    Ensemble machine learning models for predicting the CO2 footprint of GGBFS-based geopolymer concrete

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    While geopolymer concrete (GPC) has gained popularity for its environmentally friendly attributes compared to ordinary Portland cement, the absence of a prediction model for the carbon footprint of its constituents presents challenges for optimization within the evolving concrete industry. This study offers a thorough CO2 footprint prediction for ground granulated blast-furnace slag (GGBFS)-based GPC, utilizing advanced AI techniques, including a combination of machine learning models and stacking ensembles. This research statistically examines crucial parameters responsible for CO2 emissions in GGBFS-based GPC production, identifying factors like superplasticizer content, initial curing temperature, and NaOH (dry) content as significant contributors. Emphasizing sustainability, the study advocates optimizing concrete mixtures by considering factors like the NaOH ratio to other activator materials. After rigorously evaluating 12 machine learning models, including ensemble techniques, this study identified M4—a stacking model of Support Vector Regression (SVR) and Neural Network (NN)—as weak models, and Decision Tree (DT) as a meta-model, as the most effective ensemble model for predicting CO2 footprints. The choice of M4 is supported by various performance metrics such as the lowest Mean Squared Error of 88.8 and Root Mean Squared Error of 9.42, alongside the highest R2, Adjusted R2, and Explained Variance scores, all approximately 0.95. Additional analyses, such as Euclidean distance and Taylor diagrams, further substantiate the selection of M4. The findings have practical implications for sustainable and cleaner concrete production, enabling businesses to optimize the CO2 footprint of GGBFS-based GPC

    Factors Affecting Incidence of Uterine Torsion in Egyptian Buffaloes (Bubalus bubalis) and its Response for Rolling

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    Objective: The present work was planned to study the incidence of uterine torsion in Egyptian buffaloes as well as its prognosis after mechanical treatment.Methods: A total number of 35 buffaloes of different ages, parities and stage of pregnancy with complain of colic and anorexia were included in the present study. These animals were examined rectally to detect stage of pregnancy, degree, direction, duration, location of uterine torsion. Mechanical handling of torsion cases and prognosis of recovered cases was performed. After birth, sex of new born was also recorded.Results: The torsion of uterus mostly occurred in pleuriparous buffaloes (100%) in right side (85.7%) during second half of pregnancy (100%). Most cases were postcervical (85.7%) during the early stage (7 and 8 months). Torsion also may occur during labour (17.4%) where the cervix was dilated after correction. Most cases of uterine torsion occur in stabled animals for long period (97%). The uterine torsion associated with male calves (65.7%) as well as with large size calves (40-50kg) and majority of the calves were in normal position. The first foetal sac expelled in majority of cases was amniotic sac (97%) with few cases of placental retention. Uterine torsion with short duration (1-6 h) usually needs 1-2 rolls only for correction and usually takes 0-6h (100%) for cervical dilatation. Occurrence of uterine torsion for above three days usually did not respond for rolling.Conclusion: Uterine torsion usually occurs in old stabled animal with good BCS during green season at last month of pregnancy. The right sever and post cervical torsion were the most common type of torsion. Rapid diagnosis of uterine torsion within 6 h usually results in good prognosis even in severe cases

    Perbandingan Remifentanil Kontinu 0.15 Mcg/Kgbb dengan Fentanyl 3 Mcg/Kgbb pada Intubasi Endotrakeal Diukur Menggunakan Pupillometer (AlgiScan®)

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    Introduction: All opioids have varying levels of sedative effects with increasing dosages, although with different strengths. Therefore, the opioid component as a sedative regiment is usually maintained at minimum dose for adequate analgesic with regard to patient comfort. Along with the progress of knowledge, parameters have been found to measure the level of analgesic and sedative. Methods: The principle of measurement is done by using the diameter of pupil and then analyzed through AlgiScan and compared to certain standards. The using of pupilometers AlgiScan in assessing the level of sedative analgesic will reduce the level of subjectivity and errors in measurement. Results: The use of Remifentanil has a faster effect of sedative as proven by lower “AlgiScan” score in the pre-intubation phase. In addition, the use of Remifentanil also provides a hemodynamic view of lower arterial pressure, both pre and post intubation condition. Conclussion: Both Remifentanil and fentanyl are able to provide analgesic with sedative and stable hemodynamics. Remifentanil is proven to be superior with better and faster effect and also faster substance elimination with lower doses

    Removal of heavy metals from wastewater using date palm as a biosorbent: a comparative review

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    The drawbacks associated with activated carbon, mainly cost, have resulted in the continuing search for inexpensive adsorbents easily and abundantly available as waste materials. The current review presents the results of using different forms of date palm (DP) waste as low-cost biosorbents, highlighting effects of contact time, pH, the dose and size of the adsorbent particles, initial metal concentrations and the effects of pre-treatment on the adsorption efficiency of copper (Cu2+). The results of studies using the raw DP trunk fiber suggested the equilibrium time was approximately 2 h, with a significantly high removal of Cu2+ during the initial 1 h at acidic pH values of 5-6, which indicated the interference of H+ ions with metal ions at low pH values. The raw DP trunk fiber was tested with initial particle sizes of 75-251 μm and adsorbent dosages in the range of 0.4-5.0 g L-1. The best adsorption efficiency was obtained at the smallest particle size and the maximum dosage. The use of different initial Cu2+ concentrations resulted in a 10% decrease in removal, but the adsorption capacity was increased three-fold with an initial concentration of 20-100 mg L-1. A significantly higher removal efficiency of Cu2+ was achieved using the modified DP waste than with the raw trunk fiber for all experimental parameters and operational conditions owing to the increased functional groups on the modified adsorbents. The reviewed literature confirmed the efficiency of DP waste for the adsorption of heavy metals, but the use of the raw or even modified DP waste for the large-scale treatment of wastewater is still a concern owing to the cost effectiveness, availability and requirement for DP waste on a massive scale. Further research for physical modifications of the raw DP waste that employs cost-effective techniques, such as using the DP waste in the form of dehydrated carbon and media filters are required

    Synthesis, characterization and molecular modeling of new ruthenium(II) complexes with nitrogen and nitrogen/oxygen donor ligands

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    Ru(II) complexes with some dinitrogen ligands; 3,4-diamino benzoic acid (DABA), 2-hydazinopyridine (hzpy), 2,2′-bipyridyl (bipy) and anthranilic acid (anth) have been synthesized and characterized by using IR, mass, and UV–Vis spectrometry and thermal analysis. The thermodynamic parameters (ΔE, ΔH, ΔS and ΔG) have been calculated by using Coats–Redfern and Horowitz–Metzger methods. The electrochemical properties of these complexes have been studied by using cyclic voltammetry. The evaluated energies of the HOMO and LUMO are in the range of −4.94 to −4.85 eV and −2.86 to −2.68 eV, respectively. The complexes have been proven to have an octahedral geometry with DABA, hzpy and bipy as N2 donor ligands and NSC as monodentate ligand. The structure of the Ru(II) complexes has been geometrically optimized by using parameterized PM3 semiempirical method. © 2015 The Author
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