329 research outputs found

    Entrepreneurship dalam Kepemimpinan di Perguruan Tinggi

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    Berjiwa wirausaha (entrepreneurship) merupakan salah satu syarat yang hendaknyan dimiliki oleh setiap pemimpin organisasi. Entrepreneurship dalam kepemimpinan perguruan tinggi memberikan warna tersendiri terhadap organisasi yang ingin maju dan berkembang, tidak apatis dan selalu percaya bahwa Perubahan merupakan sesuatu yang mutlak terjadi dan harus dihadapi dengan rasa penuh percaya diri. Kepemimpinan yang dipadukan dengan jiwa entrepreneurship akan menghasilkan kualitas organisasi yang dinamis dan dapat dipertanggungjawabkan

    Seni Mengelola Stress

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    Artikel sederhana ini mencoba memberikan solusi untuk mengumpulkan beberapa alasan singkat mengapa stress perlu dipahami bagi setiap orang serta bagaimana cara mengelola stress dan mampu menjadikan stress sebagai teman sejati sehingga dapat membawa kesuksesan bagi kita termasuk bagaimana kita mampu menghargai arti kesuksesan dan kegagalan hidup, baik di lingkungan masyarakat, pekerjaan dan lain sebagainya. Menjadikan stress sebagai motivasi untuk meraih keberhasilan tentunya memiliki keindahan tersendiri ketika kita mampu mengaturnya secara positif. Upaya yang dapat dilakukan antara lain: Manganggap dan memposisikan stress sebagai teman sejati, berani menentukan pilihan, menjadi diri sendiri (Mandiri), berani Kehilangan Sesuatu yang Dicintai, sifat suka mencampuri urusan orang lain, iri hati, dengki dan dendam, berpkir positif, disiplin, mengibur diri sendiri dan berdoa dan mendekatkan diri kepada Allah SWT

    Metamorphosis Induction of the Dog Conch Strombus canarium (Gastropoda: Strombidae) Using Cues Associated with Conch Nursery Habitat

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    Strombus canarium is a commercially important gastropod that has great potential for advancement into aquaculture. In this study, the metamorphosis response of Strombus canarium larvae to various metamorphosis cues associated with conch nursery habitat and to KCl and GABA, were tested. Bioassays were run as static, no choice experiment and adopting a continuous exposure approach. Strombus canarium larvae showed strong metamorphosis responses when sediment (i.e., conch nursery habitat sediment/SD-NU) and detrital substrata (i.e., Thalassia detritus leachate/T-LC) from their nursery habitat were used (p<0.05). There was no metamorphosis in treatments using sterilized conch nursery habitat sediment (SD-ST) and sediment taken from outside conch nursery habitat (SD-OT). Experiments using fresh macrophyte blades of Enhalus acoroides (EA), Thalassia hemprichii (TH), Halophila ovalis (HA) and Ulva (UL) and adult conditioned seawater (SD-SW) also showed negative respond. Conch larvae demonstrate active habitat selection during metamorphosis and no spontaneous metamorphosis was observed. Settlement in S. canarium is associative in nature where epibionts associated with conch nursery habitat could be the cue for the metamorphosis. However, the specific epibionts/inducers and mechanisms underlining the process were not studied and therefore are subjected to more detailed investigation. The use of KCl was comparable with treatments using natural inducers (SD-NU and T-LC), thus was suggested for application in hatchery spat production of the species

    Anti-inflammatory, anthropometric and lipomodulatory effects Dyglomera® (aqueous extract of Dichrostachys glomerata) in obese patients with metabolic syndrome

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    Background: Increased visceral fat, dyslipidemia and increased markers of inflammation and coagulation are cardiovascular risk factors commonly encountered in obese people with metabolic syndrome. Previous studies have shown that ground Dichrostachys glomerata (DG), a spice used in Western Cameroon, can have beneficial effects on inflammation and various other cardiovascular disease risk factors. The purpose of the present study was to evaluate the effects of Dyglomera®, an aqueous extract of DG (standardized to NLT 10% polyphenols) on certain anthropometric, biochemical (including pro-inflammatory and pro-thrombotic states) and hemodynamic parameters in obese patients with metabolic syndrome. Methods: The study was an 8-week randomized, double-blind, placebo-controlled trial involving 116 males and 202 females aged between 24 and 58 years. Participants were randomly divided into two groups: treatment and placebo. Capsules containing the active treatment (200 mg Dyglomera®) or placebo (200 mg maize powder) were administered 30–60 minutes before lunch and dinner throughout the study period. Various biochemical (namely, blood glucose, lipid profile, pro-inflammatory and pro-thrombotic markers), anthropometric and hemodynamic parameters were measured at baseline and after 4 and 8 weeks of treatment.Results: At the end of the study, the Dyglomera® group showed statistically significant differences in all 16 parameters compared to baseline values. Changes in BMI and waist circumference were accompanied by changes in biochemical parameters, with the exception of adiponectin levels which were not correlated to waist circumference and PAI-1 values. The results confirm the hypothesis that Dyglomera®, the aqueous extract of DG, has anti-inflammatory properties, and is effective in reducing cardiovascular disease risk factors associated with metabolic syndrome in obese human subjects

    Accidental Nasal Myiasis Caused by Megaselia rufipes (Diptera: Phoridae) in a Child

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    A case of a nasal myiasis in a 3-yr-old Italian girl who was referred to Bambino Gesù Hospital in Rome, Italy, is reported. Larvae discharged with the nasal mucus were microscopically identified as Megaselia spp.; DNA barcoding analysis showed that they belonged to the 'scuttle fly' species Megaselia rufipes (Meigen). Based on the patient's history, she became infected when she played outside. This is the first report of myiasis in humans due to M. rufipes (Diptera: Phoridae)

    Effectiveness of natural coagulant in coagulation process: A review

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    Natural coagulants have been increasingly popular in the past few years due to its benefits and the fact that it resolves mos t of the associated problems when using chemical coagulants. Plant-based natural coagulants perform coagulation either by polymer bridging or charge neutralization, it can be extracted from various plant components. Concerted research and development efforts have been conducted in discovering new plant species and constituents that can be used as natural coagulants, which further boosting the effectiveness of existing plant-based natural coagulants. The objective of this paper is to provide a mini review on studies done over the span of ten years regarding plant-based natural coagulants. This paper also includes advantages and disadvantages of natural coagulants prior to identify sever al potential research gaps to provide platform towards the need of further study

    Experimental and artificial intelligence modelling study of oil palm trunk sap fermentation

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    © 2021 The Authors. Published by MDPI. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.3390/en14082137Five major operations for the conversion of lignocellulosic biomasses into bioethanol are pre-treatment, detoxification, hydrolysis, fermentation, and distillation. The fermentation process is a significant biological step to transform lignocellulose into biofuel. The interactions of biochemical networks and their uncertainty and nonlinearity that occur during fermentation processes are major problems for experts developing accurate bioprocess models. In this study, mechanical processing and pre-treatment on the palm trunk were done before fermentation. Analysis was performed on the fresh palm sap and the fermented sap to determine the composition. The analysis for total sugar content was done using high-performance liquid chromatography (HPLC) and the percentage of alcohols by volume was determined using gas chromatography (GC). A model was also developed for the fermentation process based on the Adaptive-Network-Fuzzy Inference System (ANFIS) combined with particle swarm optimization (PSO) to predict bioethanol production in biomass fermentation of oil palm trunk sap. The model was used to find the best experimental conditions to achieve the maximum bioethanol concentration. Graphical sensitivity analysis techniques were also used to identify the most effective parameters in the bioethanol process.This work supported by the Ministry of Education Malaysia through a Research University Grant of the University Technology Malaysia (UTM) (Award Number: Rk430000.7743.4J010).Published versio

    Comparison of Network Intrusion Detection Performance Using Feature Representation

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    P. 463-475Intrusion detection is essential for the security of the components of any network. For that reason, several strategies can be used in Intrusion Detection Systems (IDS) to identify the increasing attempts to gain unauthorized access with malicious purposes including those base on machine learning. Anomaly detection has been applied successfully to numerous domains and might help to identify unknown attacks. However, there are existing issues such as high error rates or large dimensionality of data that make its deployment di cult in real-life scenarios. Representation learning allows to estimate new latent features of data in a low-dimensionality space. In this work, anomaly detection is performed using a previous feature learning stage in order to compare these methods for the detection of intrusions in network tra c. For that purpose, four di erent anomaly detection algorithms are applied to recent network datasets using two di erent feature learning methods such as principal component analysis and autoencoders. Several evaluation metrics such as accuracy, F1 score or ROC curves are used for comparing their performance. The experimental results show an improvement for two of the anomaly detection methods using autoencoder and no signi cant variations for the linear feature transformationS
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