bluuebunny/crossref_metadata_2025 huggingface dataset:
Modeling Hairy Vetch and Cereal Rye Cover Crop Decomposition and Nitrogen Release
Authors: Dhakal Madhav , Singh Gurbir , Cook Rachel L. , Sievers Taylor
Published: March 2020

Empirical models help us understand the process of plant residue decomposition and nutrient release into the soil. The objective of this study was to determine an appropriate model to describe the decomposition of hairy vetch (Vicia villosa Roth) and cereal rye (Secale cereale L.) cover crop (CC) residue and nitrogen (N) release. Data pertaining to above and belowground CC residue mass loss and N release for up to 2633 cumulative decomposition degree days (112 d) after litterbag installation were obtained from two cropping system experiments, one conducted in 2015 and the other in 2017 and 2018 at the humid subtropical environment of southern IL, USA. Six exponential and two hyperbolic models were fit to percent mass and N remaining data to find the one with minimum Akaike Information Criterion (AIC) and residual sum of squares. Modified three-parameter single exponential and two- or three-parameter hyperbolic models best met the assumed criteria of selection for above and belowground CC residue, respectively. Fitting a double exponential model to a combined data for percent mass and N remaining, which identified two mass and N pools, a fast and a slow pool with different rate constants. A five-parameter double exponential with an asymptote met the preset criteria and passed all tests for normally distributed population, constant variance, and independence of residuals at α = 0.05 when fit to combined data of hairy vetch shoot mass and N remaining. However, a two-parameter hyperbolic and three-parameter asymptotic hyperbolic model provided the best fit to a combined data of cereal rye shoot mass and N remaining, respectively. Both hyperbolic decay models showed a good fit for belowground mass decomposition and N release for both CCs. Cereal rye had poorer fit than hairy vetch for mass and N remaining of both above and belowground mass. The best-selected decay models can be used to estimate the decomposition and N release rates of hairy vetch and cereal rye above and belowground residue in a similar environment.
A Functional Binding Domain in the Rbpr2 Receptor is Required for Vitamin A Transport, Ocular Retinoid Homeostasis, and Photoreceptor Cell Survival in Zebrafish
Authors: Solanki Ashish K. , Kondkar Altaf A , Fogerty Joseph , Su Yanhui , Kim Seok-hyung , Lipschutz Joshua H. , Nihalani Deepak , Perkins Brian D. , Lobo Glenn P.
Published: March 2020

Dietary vitamin A/all-trans retinol/ROL plays a critical role in human vision. ROL circulates bound to the plasma retinol-binding protein (RBP4) as RBP4-ROL. In the eye, the STRA6 membrane receptor binds to circulatory RBP4 and internalizes ROL. STRA6 is however not expressed in systemic tissues, where there is high-affinity RBP4 binding and ROL uptake. We tested the hypothesis, that the second retinol-binding protein 4 receptor 2 (Rbpr2) which is highly expressed in systemic tissues of zebrafish and mouse, contains a functional RBP4 binding domain, critical for ROL transport. As for STRA6, modeling and docking studies confirmed three conserved RBP4 binding residues in zebrafish Rbpr2. In cell culture studies, disruption of the RBP4 binding residues on Rbpr2 almost completely abolished uptake of exogenous vitamin A. CRISPR generated rbpr2-RBP4 domain zebrafish mutants showed microphthalmia, shorter photoreceptor outer segments, and decreased opsins, that were attributed to impaired ocular retinoid content. Injection of WT-Rbpr2 mRNA into rbpr2 mutant or all-trans retinoic acid treatments rescued the mutant eye phenotypes. In conclusion, zebrafish Rbpr2 contains a putative extracellular RBP4-ROL ligand-binding domain, critical for yolk vitamin A transport to the eye for ocular retinoid production and homeostasis, for photoreceptor cell survival.
A Composite Hybrid Feature Selection Learning-Based Optimization of Genetic Algorithm For Breast Cancer Detection
Authors: Abdullah Farid Ahmed , Selim Gamal , Khater Hatem
Published: March 2020

Breast cancer is a significant health issue across the world. Breast cancer is the most widely-diagnosed cancer in women; early-stage diagnosis of disease and therapies increase patient safety. This paper proposes a synthetic model set of features focused on the optimization of the genetic algorithm (CHFS-BOGA) to forecast breast cancer. This hybrid feature selection approach combines the advantages of three filter feature selection approaches with an optimize Genetic Algorithm (OGA) to select the best features to improve the performance of the classification process and scalability. We propose OGA by improving the initial population generating and genetic operators using the results of filter approaches as some prior information with using the C4.5 decision tree classifier as a fitness function instead of probability and random selection. The authors collected available updated data from Wisconsin UCI machine learning with a total of 569 rows and 32 columns. The dataset evaluated using an explorer set of weka data mining open-source software for the analysis purpose. The results show that the proposed hybrid feature selection approach significantly outperforms the single filter approaches and principal component analysis (PCA) for optimum feature selection. These characteristics are good indicators for the return prediction. The highest accuracy achieved with the proposed system before (CHFS-BOGA) using the support vector machine (SVM) classifiers was 97.3%. The highest accuracy after (CHFS-BOGA-SVM) was 98.25% on split 70.0% train, remainder test, and 100% on the full training set. Moreover, the receiver operating characteristic (ROC) curve was equal to 1.0. The results showed that the proposed (CHFS-BOGA-SVM) system was able to accurately classify the type of breast tumor, whether malignant or benign.
Applying Artificial Intelligence Techniques for Prediction of Neurodegenerative Disorders: A Comparative Case-Study on Clinical Tests and Neuroimaging Tests with Alzheimer’s Disease
Authors: Abdullah Farid Ahmed , Selim Gamal , Khater Hatem
Published: March 2020

Alzheimer's disease (AD) detection acting as an essential role in global health care due to misdiagnosis and sharing many clinical sets with other types of dementia, and costly monitoring the progression of the disease over time by magnetic reasoning imaging (MRI) with consideration of human error in manual reading. This paper goal a comparative study on the performance of data mining techniques on two datasets of Clinical and Neuroimaging Tests with AD. Our proposed model in the first stage, Apply clinical medical dataset to a composite hybrid feature selection (CHFS), for extract new features to select the best features due to eliminating obscures features, In parallel with Apply a novel hybrid feature extraction of three batch edge detection algorithm and texture from MRI images dataset and optimized with fuzzy 64-bin histogram. In the second stage, we applied a clinical dataset to a stacked hybrid classification(SHC) model to combine Jrip and random forest classifiers with six model evaluations as meta-classifier individually to improve the prediction of clinical diagnosis. At the same stage of improving the classification accuracy of neuroimaging (MRI) dataset images by applying a convolution neural network (CNN) in comparison with traditional classifiers, running on extracted features from images. The authors have collected the clinical dataset of 426 subjects with (1229 potential patient sample) from oasis.org and (MRI) dataset from a benchmark kaggle.com with a total of around ~5000 images each segregated into the severity of Alzheimer's. The datasets evaluated using an explorer set of weka data mining software for the analysis purpose. The experimental show that the proposed model of ‏(CHFS) feature extraction ‏ lead to effectively reduced the false-negative rate with a relatively high overall accuracy with a stack hybrid classification of support vector machine (SVM) as meta-classifier of 96.50% compared to 68.83% of the previous result on a clinical dataset, Besides a compared model of CNN classification on MRI images dataset of 80.21%. The results showed the superiority of our CHFS model in predicting Alzheimer's disease more accurately with the clinical medical dataset in early-stage compared with the neuroimaging (MRI) dataset. The results of the proposed model were able to predict with accurately classify Alzheimer's clinical samples at a low cost in comparison with the MRI-CNN images model at the early stage and get a good indicator for high classification rate for MRI images when applying our proposed model of SHC.
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
Authors: Mosavi Amir , Ghamisi Pedram , Faghan Yaser , Duan Puhong , Shamshirband Shahab
Published: March 2020

The popularity of deep reinforcement learning (DRL) methods in economics have been exponentially increased. DRL through a wide range of capabilities from reinforcement learning (RL) and deep learning (DL) for handling sophisticated dynamic business environments offers vast opportunities. DRL is characterized by scalability with the potential to be applied to high-dimensional problems in conjunction with noisy and nonlinear patterns of economic data. In this work, we first consider a brief review of DL, RL, and deep RL methods in diverse applications in economics providing an in-depth insight into the state of the art. Furthermore, the architecture of DRL applied to economic applications is investigated in order to highlight the complexity, robustness, accuracy, performance, computational tasks, risk constraints, and profitability. The survey results indicate that DRL can provide better performance and higher accuracy as compared to the traditional algorithms while facing real economic problems at the presence of risk parameters and the ever-increasing uncertainties.
Pathological Study of the 2019 Novel Coronavirus Disease (COVID-19) through Post-Mortem Core Biopsies
Authors: Tian Sufang , Xiong Yong , Liu Huan , Niu Li , Guo Jianchun , Liao Meiyan , Xiao Shu-Yuan
Published: March 2020

Data on pathologic changes of the 2019 novel coronavirus disease (COVID-19) are scarce. To gain knowledge about the pathology that may contribute to disease progression and fatality, we performed post-mortem needle core biopsies of lung, liver, and heart in four patients who died of COVID-19 pneumonia. The patients’ ages ranged from 59 to 81, including 3 males and 1 female. Each patient had at least one underlying disease, including immunocompromised status (chronic lymphocytic leukemia and renal transplantation) or other conditions (cirrhosis, hypertension, and diabetes). Time from disease onset to death ranged from 15 to 52 days. All patients had elevated white blood cell counts, with significant rise toward the end, and all had lymphocytopenia except for the patient with leukemia. Histologically, the main findings are in the lungs, including injury to the alveolar epithelial cells, hyaline membrane formation, and hyperplasia of type II pneumocytes, all components of diffuse alveolar damage. Consolidation by fibroblastic proliferation with extracellular matrix and fibrin forming clusters in airspaces is evident. In one patient, the consolidation consists of abundant intra-alveolar neutrophilic infiltration, consistent with superimposed bacterial bronchopneumonia. The liver exhibits mild lobular infiltration by small lymphocytes, and centrilobular sinusoidal dilation. Patchy necrosis is also seen. The heart shows only focal mild fibrosis and mild myocardial hypertrophy, changes likely related to the underlying conditions. In conclusion, the post-mortem examinations show advanced diffuse alveolar damage, as well as superimposed bacterial pneumonia in some patients. Changes in the liver and heart are likely secondary or related to the underlying diseases.
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network
Authors: Rabbi Jakaria , Ray Nilanjan , Schubert Matthias , Chowdhury Subir , Chao Dennis
Published: March 2020

The detection performance of small objects in remote sensing images is not satisfactory compared to large objects, especially in low-resolution and noisy images. A generative adversarial network (GAN)-based model called enhanced super-resolution GAN (ESRGAN) shows remarkable image enhancement performance, but reconstructed images miss high-frequency edge information. Therefore, object detection performance degrades for the small objects on recovered noisy and low-resolution remote sensing images. Inspired by the success of edge enhanced GAN (EEGAN) and ESRGAN, we apply a new edge-enhanced super-resolution GAN (EESRGAN) to improve the image quality of remote sensing images and used different detector networks in an end-to-end manner where detector loss is backpropagated into the EESRGAN to improve the detection performance. We propose an architecture with three components: ESRGAN, Edge Enhancement Network (EEN), and Detection network. We use residual-in-residual dense blocks (RRDB) for both the GAN and EEN, and for the detector network, we use the faster region-based convolutional network (FRCNN) (two-stage detector) and single-shot multi-box detector (SSD) (one stage detector). Extensive experiments on car overhead with context and oil and gas storage tank (created by us) data sets show superior performance of our method compared to the standalone state-of-the-art object detectors.
FAURAS: A Proxy-based Framework for Ensuring the Fairness of Adaptive Video Streaming over HTTP/2 Server Push
Authors: Tran Chanh Minh , Nguyen Duc Tho , Tan Phan Xuan , Kamioka Eiji
Published: March 2020

HTTP/2 video streaming has caught a lot of attentions in the development of multimedia technologies over the last few years. In HTTP/2, the server push mechanism allows the server to deliver more video segments to the client within a single request in order to deal with the requests explosion problem. As a result, recent research efforts have been focusing on utilizing such a feature to enhance the streaming experience while reducing the request-related overhead. However, current works only optimize the performance of a single client, without necessary concerns of possible influences on other clients in the same network. When multiple streaming clients compete for a shared bandwidth in HTTP/1.1, they are likely to suffer from unfairness, which is defined as the inequality in their bitrate selections. For HTTP/1.1, existing works have proven that the network-assisted solutions are effective in solving the unfairness problem. However, the feasibility of utilizing such an approach for the HTTP/2 server push has not been investigated. Therefore, in this paper, a novel proxy-based framework is proposed to overcome the unfairness problem in adaptive streaming over HTTP/2 with the server push. Experimental results confirm the outperformance of the proposed framework in ensuring the fairness, assisting the clients to avoid rebuffering events and lower bitrate degradation amplitude, while maintaining the mechanism of the server push feature.
Supplier Replacement Model in a One-Level Assembly System under Lead-Time Uncertainty
Authors: Afsar Hasan Murat , Ben-Ammar Oussama , Dolgui Alexandre , Hnaien Faicel
Published: March 2020

Supplier selection/replacement strategies and optimized purchasing policies play a key role in efficient supply chain management in today’s dynamic market. Here we study supplier replacement in a one-level assembly system (OLAS) producing one type of finished product. To assemble the product, we need to provide multi-type components, but assembly will be interrupted if any single component is missing, and incoming units will get hoarded until the missing component arrives. The assembly process can be interrupted by various sources of uncertainty, including delays in component deliveries. There is consequently a non-negligible risk that the assembly process may get stopped any moment. This brings inventory-related costs, which should be minimized. Here we consider discrete lead-time distributions to mimic industry-world reality. We present a model that takes into account not only optimal assignment of component order release dates but also replacement of a critical supplier. For a given unit, we model several alternative suppliers with alternative pricing and lead-time uncertainties, and we evaluate the impact on the total assembly system. For a more general case where several suppliers may be replaced, we propose a genetic algorithm.
Contagions and Social Sustainability: Domains, Challenges and Sanitary Devices
Authors: Ferreira Carlos Miguel , Serpa Sandro
Published: March 2020

This article aims to understand the domains and conceptual uses of contagion, its modalities and its effects, in its different historical contexts and meanings, as an expression of the process of interdependence between the positions and the different points of view of different actors involved in multiple scientific, moral, social and political challenges. Another objective focuses on understanding the process of collective management of contagion, disease and health, where prevention is an essential element of its objectives and justifications, its discursive order, as well as its practical activities.
Nations’ Responses and Control Measures in Confrontation with the Novel Coronavirus Disease (COVID-19) Outbreak: A Rapid Review
Authors: Tabari Parinaz , Amini Mitra , Moghadami Mohsen , Moosavi Mahsa
Published: March 2020

The outbreak of Coronavirus disease 2019 (COVID-19) has posed a significant concern in many countries due to the rapid rate of transmission between humans. Taking advantage of the experience of the last epidemics in 2002 Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) and 2012 Middle East Respiratory Syndrome Coronavirus (MERS-CoV), some regions of the world were well- prepared for the new outbreak. However, other countries needed to be adapted to the situation promptly. Many management strategies were established, and some restrictions were introduced in some regions. In this review, we aimed to determine countries’ public responses to the epidemic of COVID-19 and how they developed administrative approaches towards the outbreak.
Improving Link Reliability of IEEE 802.15.4g SUN Networks with Adaptive Modulation Diversity
Authors: Delgado Gomes Ruan , Tuset-Peiró Pere , Vilajosana Xavier
Published: March 2020

Adaptive mechanisms, such as channel hopping and packet duplication, are used in low-power wireless networks to deal with the spatial and temporal variations in the link quality, and meet the reliability requirements of industrial applications (i.e., PDR>99%). However, the benefits of such mechanisms are limited and may have a large impact on end-to-end latency and energy consumption. Hence, in this paper we propose using adaptive modulation diversity, which allows to dynamically select different modulation, to improve link reliability. We present three adaptive modulation diversity selection strategies and validate them using the data derived from a real-world deployment using the IEEE 802.15.4g SUN modulations (i.e., SUN-FSK, SUN-OQPSK and SUN-ODFM) in an industrial environment. The results show that by using adaptive modulation diversity it is possible to improve link reliability regardless of node conditions.
A Beginner's Tutorial of Restricted Boltzmann Machines
Authors: Cheng Yiping
Published: March 2020

Restricted Boltzmann machines (RBMs) are the building blocks of some deep learning networks. However, despite their importance, it is our perception that some very important derivations about the RBM are missing in the literature, and a beginner may feel RBM very hard to understand. We provide here these missing derivations. We cover the classic Bernoulli-Bernoulli RBM and the Gaussian-Bernoulli RBM, but leave out the ``continuous'' RBM as it is believed not as mature as the former two. This tutorial can be used as a companion or complement to the famous RBM paper ``Training restricted Boltzmann machines: An introduction'' by Fisher and Igel.
Compatibility of Aerial and Terrestrial LiDAR for Quantifying Forest Structural Diversity
Authors: LaRue Elizabeth A. , Wagner Franklin W. , Fei Songlin , Atkins Jeff W. , Fahey Robert T. , Gough Chris M. , Hardiman Brady S.
Published: March 2020

Structural diversity is a key feature of forest ecosystems that influences ecosystem functions from local to macroscales. The ability to measure structural diversity in forests with varying ecological composition and management history can improve the understanding of linkages between forest structure and ecosystem functioning. Terrestrial LiDAR has often been used to provide a detailed characterization of structural diversity at local scales, but it is largely unknown whether these same structural features are detectable using aerial LiDAR data that are available across larger spatial scales. We used univariate and multivariate analyses to quantify cross-compatibility of structural diversity metrics from terrestrial versus aerial LiDAR in seven National Ecological Observatory Network sites across the eastern USA. We found strong univariate agreement between terrestrial and aerial LiDAR metrics of canopy height, openness, internal heterogeneity, and leaf area, but found marginal agreement between metrics that describe heterogeneity of the outer most layer of the canopy. Terrestrial and aerial LiDAR both demonstrated the ability to distinguish forest sites from structural diversity metrics in multivariate space, but terrestrial LiDAR was able to resolve finer-scale detail within sites. Our findings indicate that aerial LiDAR can be of use in quantifying broad-scale variation in structural diversity across macroscales.
The AI-Discovered Aetiology of COVID-19 and Rationale of the Irinotecan+Etoposide Combination Therapy for Critically Ill COVID-19 Patients
Authors: Lovetrue Bragi
Published: March 2020

We present the AI-discovered aetiology of COVID-19, based on a precise disease model of COVID-19 built under five weeks that best matches the epidemiological characteristics, transmission dynamics, clinical features, and biological properties of COVID-19 and consistently explains the rapidly expanding COVID-19 literature. We present that SARS-CoV-2 implements a unique unbiased survival strategy of balancing viral replication with viral spread by increasing its dependence on (i) ACE2-expressing cells for viral entry and spread, (ii) PI3K signaling in ACE2-expressing cells for viral replication and egress, and (iii) viral-non-structural-and-accessory-protein-dependent immunomodulation to balance viral spread and viral replication. We further propose the combination of irinotecan (an in-market topoisomerase I inhibitor) and etoposide (an in-market topoisomerase IIinhibitor) could potentially be an exceptionally effective treatment to protect critically ill patients from death caused by COVID-19-specific cytokine storms triggered by sepsis, ARDS, and other fatal comorbidities.
Widely Available Lysosomotropic Agents Should Be Considered as a Potential Therapy for COVID-19
Authors: Homolak Jan , Kodvanj Ivan
Published: March 2020

While the COVID-19 pandemic advances, the scientific community struggles in the search for treatments. Several improvements have been made, including the discovery of clinical efficacy of chloroquine (CQ) in COVID-19 patients, but the effective treatment protocols are still missing. In order to find novel treatment options many scientists utilize the in silico approach to identify compounds that could interfere with the key molecules involved in entrance, replication, or dissemination of the SARS-CoV-2. However, most of the identified molecules are currently not available as pharmacological agents, and assessing their safety and efficacy could take many months. Here, we took a different approach based on the proposed pharmacodynamic model of CQ in COVID-19. The main mechanism of action responsible for the favourable outcome of COVID-19 patients treated with CQ seems to be related to pH modulation-mediated effect on the endolysosomal trafficking, a characteristic of chemical compounds often called lysosomotropic agents because of the physico-chemical properties that enable them to passively diffuse through the endosomal membrane and undergo protonation-based trapping in the lumen of the acidic vesicles. In this review, we discuss lysosomotropic drugs that are already in clinical use and are characterized by good safety profiles, low cost, and wide availability. We emphasize that some of these drugs, in particular azithromycin and other macrolide antibiotics, indomethacin and some other non-steroidal anti-inflammatory drugs, proton pump inhibitors, and fluoxetine could provide additional therapeutic benefits in addition to the potential antiviral effect that still has to be confirmed by well-controlled clinical trials. As some of these drugs, mostly antibiotics, were already empirically used in the treatment of COVID-19, we encourage our colleagues all over the world to publish patient data so potential efficacy of lysosomotropic agents can be evaluated in the clinical context and rapidly implemented in the therapeutic protocols if the beneficial effect on clinical outcome is observed.
Karakterisasi Membran ZSM-5 yang Disintensis dengan Variasi Jenis dan Ukuran Kasa Penyangga
Authors: Mukaromah Ana Hidayati , Ariyadi Tulus , Azizah Inas Hasna , Mifbakhuddin Mifbakhuddin
Published: March 2020

Telah dilakukan sintesis dan karakterisasi membran ZSM-5 dengan penyangga kasa jenis 304 ukuran 200 dan 400 mesh dan jenis kasa AISI 316 ukuran 180 mesh. Tujuan penelitian ini adalah mensintesis membran ZSM-5 dengan penyangga kasa jenis 304 ukuran 200 dan 400 mesh dan jenis kasa AISI 316 ukuran 180 mesh dan mengkarakterisasi membran ZSM-5 hasil sintesis. Sintesis membran dilakukan dengan cara melapiskan prekursor ZSM-5 (coating) pada penyangga kasa yang telah diberi perlakuan dan dipanaskan pada suhu 90 °C selama 4 hari. Selanjutnya, membran yang dihasilkan dikarakterisasi engan metoda X-ray diffraction (XRD), scanning electron microscope-energy dispersive spectroscopy (SEM-EDS) dan Fourier-transform infrared (FTIR). Hasil citra SEM-EDS menunjukkan bahwa ukuran membran ZSM-5 yang semakin besar, menghasilkan jumlah lubang atau pori semakin banyak dengan luasan pori yang semakin kecil. Pola difraksi XRD menunjukkan bahwa membran yang dihasilkan mempunyai intensitas tertinggi pada 2 8º dan 23º yang merupakan karakteristik dari ZSM-5. Hasil spektra FTIR menunjukkan adanya serapan pada bilangan gelombang 450 cm-1yang merupakan ciri khas membran ZSM-5.

Characterization of ZSM-5 Membranes Synthesized by Variation of Support Types and Sizes. Synthesis and characterization of ZSM-5 membrane were carried out with 304 type 200 and 400 mesh gauze supports and 180 mesh AISI 316 gauze types. The purpose of this study was to synthesize ZSM-5 membrane with 304 type 200 and 400 mesh gauze support and AISI 316 type 180 mesh size 180 mesh and characterize the synthesized ZSM-5 membrane. Membrane synthesis was carried out by coating the pre-treated gauze support with the ZSM-5 precursor and was heated at 90 °C for 4 days. Furthermore, the resulting membrane was characterized by X-ray diffraction (XRD), scanning electron microscope-energy dispersive spectroscopy (SEM-EDS) dan Fourier-transform infrared (FTIR). The SEM-EDX analysis shows that the increasing of ZSM-5 membrane size allowed pores number to increase with smaller pore surface area. The X-ray Diffraction pattern (XRD) shows that the resulting membrane has the highest intensity at 2  of 8º and 23º as the characteristics of ZSM-5. The FTIR spectra results show absorption at wavenumbers 450 cm-1 which is a characteristic of ZSM-5 membranes.
Optimasi Metode Microwave-Assisted Extraction (MAE) untuk Menentukan Kadar Flavonoid Total Alga Coklat Padina australis
Authors: Sari Bina Lohita , Triastinurmiatiningsih Triastinurmiatiningsih , Haryani Tri Saptari
Published: March 2020

Metode Microwave-Assisted Extraction (MAE) digunakan untuk mengekstraksi senyawa flavonoid dari simplisia alga coklat Padina australis. Sampel diperoleh dari Pantai Bayah, Banten Indonesia. Kondisi optimal ekstraksi ditentukan dengan Response Surface Methodology (RSM). Desain Box-Behnken (BBD) digunakan untuk mengevaluasi pengaruh 3 faktor dengan 3 level yaitu daya microwave (300, 450, 600 watt), konsentrasi etanol  (30, 50, 70%), dan waktu ekstraksi (7, 8 dan 9 menit) dengan 15 perlakuan yang berbeda. Hasil disain eksperimen dengan BBD menunjukkan kondisi ekstraksi optimum yaitu pada daya microwave 414 watt, konsentrasi etanol 50,33% dan waktu ekstraksi 7,89 menit menghasilkan kadar prediksi flavonoid sebesar nilai 0,2963%. Nilai ini mendekati nilai kadar flavonoid yang diperoleh secara eksperimental sebesar 0,2961%, pada kondisi menggunakan daya microwave sebesar 450 watt, konsentrasi etanol 50% dengan lama ekstraksi 8 menit. Berdasarkan hasil penelitian, kadar flavonoid total dapat meningkat secara signifikan dengan melakukan optimasi proses MAE menggunakan RSM.

Optimization of Microwave-Assisted Extraction for Total Flavonoid Content of Padina australis Brown Algae.  Microwave-Assisted Extraction (MAE) was done to extraction flavonoid from Padina australis brown algae simplicial. The sample collected from Bayah coastal waters, Banten Indonesia. Optimum extraction condition was determined by the response surface methodology (RSM). The Box-Behnken design (BBD) was used to evaluate the influence of 3 factors with 3 levels extraction that is microwave power (300, 450, 600 watts), ethanol concentration (30, 50, 70%), and extraction time (7, 8 and 9 minutes) with 15 different runs. The research showed that optimum extraction condition was at 414 watts of microwave power, 50.33% ethanol concentration, and time extraction of 7.89 minutes yielded a predicted value of total flavonoid content of 0.2963%. This value approaches to the flavonoid content obtained experimentally at 0.2961% under condition of 450 watts microwave power, 50% ethanol concentration, and time extraction of 8 minutes. Based on the result, total flavonoid content can be significantly increased by optimizing the MAE process use RSM.
Senyawa Hidrazone dari Vanilin-DNPH Sebagai Sensor Kolorimetri Anion Sianida
Authors: Suharman S , Rahayu Siti Utari
Published: March 2020

Senyawa hidrazon (E)-4-((2-(2,4-dinitrophenyl)hydrazineylidene)methyl)-2-methoxyphenol telah disintesis dari vanilin dan 2,4-dinitrofenilhidrazin (DNPH). Uji sensor anion dilakukan dengan menambahkan anion F-, Cl-, Br-, I-, CN-, SO42-, CO32-, CH3COO- dan H2PO4- dalam pelarut asetonitril. Uji limit deteksi reseptor  (E)-4-((2-(2,4-dinitrophenyl)hydrazineylidene)methyl)-2-methoxyphenol terhadap anion sianida dilakukan dalam pelarut asetonitril. Hasil uji sensor anion menunjukan bahwa reseptor  selektif terhadap anion sianida dengan menghasilkan perubahan warna dari kuning ke merah. Hasil analisa dengan spektrofotometer UV-Vis reseptor memberikan perubahan panjang gelombang dari 395 nm menjadi 472 nm pada penambahan anion sianida. Reseptor (E)-4-((2-(2,4-dinitrophenyl)hydrazineylidene)methyl)-2-methoxyphenol dapat mendeteksi anion CN- dengan limit deteksi sebesar 7 mM.

 

A Hydrazone Compound from Vanillin-DNPH as Colorimetric Sensor of Cyanide Anion. A hydrazone compound (E)-4-((2-(2,4-dinitrophenyl)hydrazineylidene)methyl)-2-methoxyphenol has been synthesized from vanillin and 2,4-dinitrophenylhydrazine (DNPH). The anion sensor study were done by adding Br-, CN-, F-, SO42-, Cl-, I- , CO32-, CH3COO- and H2PO4- anion in acetonitrile solvent. The detection limit study of receptor E)-4-((2-(2,4-dinitrophenyl)hydrazineylidene)methyl)-2-methoxyphenol for cyanide anion was carried out in acetonitrile.  The result of anion sensor study shows that the receptor was selective to cyanide anion by providing change of color from yellow to red. The analysis result using spectrophotometer ultraviolet-visible of the receptor provided change of maximum wavelength from 395 nm to 472 nm when the cyanide anion was added. Receptor (E)-4-((2-(2,4-dinitrophenyl) hydrazineylidene)methyl)-2-methoxyphenol can detect CN- with limit of detection 7 mM.
Hermeneutika Rabbaniy ala Hadis Qudsi Riwayat Huzaifah Bin Al-Yaman
Authors: Farihin Hibbi
Published: March 2020

Understanding the object is the purpose of every person. Understanding objects correctly is the hope of all searchers. In the world of philosophy, an attempt to seek and know the correct information included in the epistemology field. Models of Tafsīr/Hermeneutics and Ta’wīl method are the part of it. In general, the study of epistemology dwell on empirical and rational area. Each description yet incomprehensible and can not be proven in some sense, not worthy of being called a scientific description. In contrast to the above pattern, the Islamic epistemology make a place for the method of extracting information that is difficult touched by means of empirical and rational. M. Abeed al-Jabiri call it the ‘Irfāniy approach. This paper is about to expose one of the most appropriate methods and quick in understanding any kind, including The Qur’ān. This method is excerpted from a Qudsi Hadith told by H}użaifah bin al-Yamān. We call it the Rabbāniy method. This discussion is considered important because of the description of this method is became not listed in the methodology of understanding the object/text (Tafsīr/Hermeneutics), such as popular contemporary ‘Ulūm al-Qur’ān book today. It is feared, this science will eventually be ‘lost’ (not used), which in turn will impact on less precise understanding of researchers ahead on the object, which in the case of the example above is The Qur’ān.
Shilaturrahim Sebagai Upaya Menyambungkan Tali yang Terputus
Authors: Istianah Istianah
Published: March 2020

ABSTRAK
Di dalam al-Qur’an kata taqwa dan shilaturrahim selalu dirangkai, itu artinya shilaturrahim merupakan salah satu karakteristik bagi orang-orang yang beriman. Shilaturrahim memiliki makna yang sangat universal yaitu segala perbuatan baik yang dilakukan oleh seseorang terhadap orang lain baik berbentuk material maupun moral, dan tidak mengenal batas waktu dan bentuk, sesuai dengan perkembangan situasi dan kondisi yang ada. Dalam sebuah hadis yang diriwayatkan oleh Imam Bukhari bahwa yang dinamakan shilaturrahim adalah jika diputus hubungan rahimnya maka ia menyambungnya. Jadi shilaturrahim tidak sekedar datang berkunjung ke rumah tetangga atau saudara untuk meminta maaf. Namun shilaturrahim adalah sebuah komunkasi tinggi yang dilandasi iman kepada Allah. Dengan saling menyayangi, menghormati sesama umat manusia, karena ketika sudah tidak ada lagi kasih sayang, maka yang terjadi adalah pertengkaran dan permusuhan. Dalam kehidupan yang singkat ini teruslah untuk selalu menaburkan kebaikan di muka bumi, merajut kasih sayang kepada sesama tanpa melihat tingkat posisi, kedudukan, dan status sosial. Kasih sayang itu tentunya harus diberikan untuk seluruh umat manusia yang di temui di muka bumi.
Metode Kritik Autentisitas Hadis Irene Schneider
Authors: Ihsannudin Nurul
Published: March 2020

Hadits adalah salah satu sumber utama hukum Islam. Ilmuwan Muslim, sekarang dan dulu, mencoba untuk menyajikan model analisa hadits untuk mendapatkan pemahaman yang baik dalam memberikan kontribusi yang positif untuk menyelesaikan masalah sosial keagamaan dalam kehidupan manusia. Di sisi lain, Banyak Ilmuwan Barat (Orientalist) tertarik bidang hadits. Mereka belajar hadits bukan untuk mendapatkan pelajaran dari ini namun untuk mengetahui bagaimana hadits muncul dan kepada siapa hadits ini merujuk. Menurut Herbert Berg, ilmuwan Barat bisa dikategorikan ke dalam tiga tipe: (a) Skeptics; (b) non-skeptics; dan (c) middle ground. Jurnal ini menitikberatkan pada Pengeksplorasian Pemikiran Irene Schneider mengenai Tradisi Islam, khususnya tentang penelitiannya mengenai hadits-hadits Surraq. Dalam artikelnya Freedom and Slavery In Early Islamic Time, beliau mencoba untuk mempelajari Hadits-hadits Surraq menggunakan metode pendahulunya. Berdasarkan pada asumsi bahwa pengetahuan seseorang dipengaruhi oleh realitas hidupnya, dalam artikel ini saya akan menunjukkan bahwa posisi Irene tentang tradisi hadits, khususnya tentang keautentikan sabda nabi, berdasarkan pada penelitiannya mengenai hadits mirip dengan Joseph Schacht. Dengan kata lain, ini berarti bahwa beliau ragu terhadap keautentikan hadits tersebut. Kemudian hasil penelitiannya tentang hadits Surraq dikritisi oleh Harald Motzki dalam bukunya,  Analysing Muslim Traditions.Dan Kesimpulan dari artikel ini adalah bahwa Pemikiran Irene lahir dan dipengaruhi oleh Schacht.
Pemahaman Hadis Tentang Memelihara Jenggot dalam Konteks Kekinian
Authors: Mahmudi Mahmudi
Published: March 2020

Jurnal ini menunjukkan bahwa hadis hendaknya tidak selalu dipahami secara tekstual, namun memperhatikan sosio-historis dan konteks hadis tersebut. Kesimpulan ini menjawab pemahaman hadis tentang salah satu identitas Muslim yang membedakan dengan umat lain, yaitu memelihara jenggot. Pemeliharahaan jenggot dalam konteks kekinian tidaklah menjadi satu-satunya identitas Muslim sebagaimana pada masa awal Islam, jenggot telah menjadi trend fashion yang dilakukan oleh siapapun tanpa melihat ada nilai teologis atau tidak. Beberapa ulama hadis berbeda pendapat dalam memahami hadis memelihara jenggot. Pertama ulama yang memahami hadis tersebut secara tekstual, seperti Nasīr al-Dīn al-Albanī, Abū Muḥammad bin Ḥazm, Abd Al-Azīz bin Abd Allāh bin Bāz. Mereka berpendapat memelihara jenggot merupakan perintah Nabi Muhammad saw. yang harus dilaksanakan dan merupakan bagian dari sunnah. Kedua ulama yang memahami hadis tersebut secara kontekstual, seperti al-Syarbasī, al-Qaradāwī, dan Syuhudi Ismail. Mereka berpendapat memelihara jenggot pada hadis tersebut merupakan anjuran dan bukan merupakan perintah. Penulis menggunakan teori pemahaman teks, double movement Fazlur Rahman, dalam memahami hadis memelihara jenggot dalam konteks kekinian. Pendekatan sosio-historis juga penulis gunakan untuk menemukan makna konteks ketika hadis tersebut muncul, kemudian penulis korelasikan dengan konteks kekinian.
Urgensi Wudhu dan Relevansinya Bagi Kesehatan (Kajian Ma'anil Hadis) dalam Perspektif Imam Musbikin
Authors: Afif Muhammad , Khasanah Uswatun
Published: March 2020

Artikel ini menjelaskan tentang bagaimana kita memahami sebuah hadits dengan menggunakan kajian Ma’anil Hadits yaitu ilmu yang mengkaji tentang bagaimana memahami hadits Nabi Saw dengan mempertimbangkan berbagai aspek. Dengan tujuan untuk mengetahui bagaimana kualitas hadits tentang wudhu ditinjau dari aspek sanad dan matannya. Dan untuk mengetahui bagaimana pemahaman hadits (fiqh al-hadits) tentang urgensi wudhu dan relevansinya bagi kesehatan dalam perspektif Imam Musbikin.

Dan setelah diteliti dengan menggunakan metode takhij al-hadis bahwa hadits-hadits yang diteliti, baik secara sanad maupun matan dapat dikatakan hadits tersebut sebagai hadits yang shahih baik shahih al-isnad maupun shahih al-matn dan dapat dipegang sebagai riwayat yang bersumber dari Nabi Saw. Selain itu, Manfaat cara wudhu terhadap kesehatan adalah dapat membersihkan berbagai kotoran, virus, dan bakteri yang berada di telinga, hidung, mulut dan gigi, serta dapat mempermudah regenerasi selaput lendir sehingga dapat mencegah berbagai penyakit yang masuk melalui telinga, hidung dan mulut,  baik penyakit yang ringan maupun penyakit yang serius. Selain itu, kebanyakan titik refleksi berada pada anggota wudhu. Sehingga kita menjalankan wudhu tidak hanya sebatas ritual yang dilakukan sebelum sholat, karena banyak manfaat dibalik ritual tersebut jika kita melakukannya dengan benar.
Hadis Keutamaan Berhaji: Telaah Normativitas dan Realitas Pemaknaan Masyarakat Indonesia
Authors: Faatin Salmah
Published: March 2020

Saat ini muncul beragam problem dan kesenjangan dalam ranah realitas dan normativitas berhaji. Motif dan spiritualitas berhaji disinyalir telah keluar dari substansi pensyariatan haji. Penelitian ini bertujuan menemukan kembali substansi dan ideal moral hadis keutamaan berhaji secara normatif, serta menawarkan pemahaman hadis tentang keutamaan berhaji secara holistik sesuai dengan tujuan pensyariatannya. Pehamaman terhadap hadis secara holistik, selanjutnya, diharapkan dapat memperbaiki realitas berhaji, baik motif, ritualitas maupun spiritualitasnya. Penelitian ini akan menelusuri hadis-hadis tentang keutamaan berhaji secara tematis dan dianalisis dengan metode hermeneutika hadis, yang mencakup pemahaman terhadap aspek bahasa, pemahaman konteks historis, pengkorelasian secara tematik-komprehensif dan integral dari data lain, pemaknaan teks dengan menyarikan ide dasar, analisis dengan pendekatan sosial historis dan merelevansikannya dengan konteks saat ini. Hasil penelitian menunjukkan bahwa ideal moral hadis keutamaan berhaji menghendaki adanya dampak perilaku sosial yang semakin membaik setelah berhaji, karena tolak ukur haji mabrur berada dalam ranah sosial, bukan pada banyaknya frekuensi berhaji yang akhir-akhir ini menjadi trend dan gaya hidup.
PEMIKIRAN HADIS MISOGINIS FATIMA MERNISSI: Tawaran Pemahaman Feminisme dalam Hadis di Media Kontemporer
Authors: Hanafi Abdullah
Published: March 2020

Tidak dipungkiri bahwa tradisi pemikiran hadis yang selama ini menjadi fokus perbincangan di dunia akademik baik formal maupun non-formal ternyata tidak mengalami stagnasi hanya pada kajian teks saja. Tentunya penawaran diskursus pemikiran yang pariatif akan selalu memunculkan dinamika untuk menghadirkan eksistensi hadis sesuai dengan konteksnya. Hal ini wajar karena kajian ini tidak hanya menawarkan kajian teks saja namun juga kontekstualisasi pemaknaan hadis yang bisa saja sangat subyektif dari para interpreter dengan dalih agar realitas teks bisa hidup dalam problematika manusia yang juga berjalan beriringan.Tulisan ini salah satunya bertujuan melakukan kajian pemikiran tokoh terhadap hadis yaitu Fatima Mernissi, mengenai konsep dan metode pemikirannya dalam hadis. 
Measurement of Consumer Satisfaction of Product Quality Using the Customer Satisfaction Index Method and Importance Performance Analysis
Authors: Wardana Acmad Bayu , Sumarmi Wiwik
Published: March 2020

Satisfaction of Consumer represent storey level satisfaction of consumer after what in processing in data processing. This research use glorious partner at CV case study of collection. This research aim to to know storey level satisfaction of consumer to quality of Glorious LIMITED PARTNER, CV Partner product of Collection with CSI method and which need to be improve repaired and developed any kind of according to IPA method. This Research is executed to Glorious LIMITED PARTNER, CV Partner cutomer client of Collection which have transacted more than one year. from this Research represent research of quantitative diskriptif with research device method. Amount of research sampel 100 Glorious LIMITED PARTNER, CV Partner cutomer client of Collection that is. Data analysis use Importance Performance Analysis ( IPA) And Customer Satifaction Index ( CSI). Result of research show attribute which need to be paid attention Glorious LIMITED PARTNER, CV Partner of Collection to fulfill satisfaction of its consumer is I kuadran that is Product specification ( 7), Price Product According to Quality ( 8), Product Company Have Positive Image In Company ( 18) Given By Company.
Systematic analysis of the dominant types of entomophages in fruit orchards
Authors: Sulaymonov B.A. , Isashova U.A. , Rakhmanova M.K. , M.Q.Parpiyeva  , Rasulov U.Sh.
Published: March 2020

This article is focused on a systematic analysis of leaf-mining fly types that belongs to Agromyzidae family. Due to it, 2 types of leaf-mining flies were identified in agricultural plants and 1 type in weeds. Also, it was identified that Liriomyza sativae Blanchard type of leaf-mining flies that belong to 4 families are met in 12 different plants in conditions of the Andijan region. Besides that, a number of insecticides as indoxamecty, protect were used against these kinds of pests.
Ecological - hygienic aspects and safety parameters of the use of the Zaragen insecticide in agriculture
Authors: H.O. Kosimov  , H.J. Salomova
Published: March 2020

This article states major results of multifaceted, comprehensive hygienic and toxicological studies, Zaragen can be recommended for use in agriculture on cotton, tomato and potato crops as an insecticide with mandatory compliance with the recommended consumption rates, hygienic standards and regulations, safety rules for the use of pesticidal preparations.
The “beautiful” concept in english
Authors: Tursunoy Yandashova
Published: March 2020

This page describes the significance of the concept of computing, as well as the development of uzbek culture in the community. in particular, the concept of "beauty" is strongly influenced by the author's views on the interconnectedness of the education. It conludes with the major points of the research.
Encourage land use in land resources diversification
Authors: Мahsudov Muhammadbek Dilshodbek ugli  , Khakimova Shokhidakhon Abdilxodievna
Published: March 2020

The article mentions that it is important to encourage the use of land in the process of diversification of land use. The incentive function is a mechanism of economic impact for land users to make effective use of land.
Development of customer service delivery system in wholesale trade
Authors: Kholmamatov Diyor
Published: March 2020

This article describes the relationships and functions of marketing, logistics, and trade in wholesale trade services provided to wholesale consumers
Establishment and development of international cooperation in the education and training system of Uzbekistan in the first years of independence
Authors: Vasieva D. I
Published: March 2020

This paper investigated major points of the achieving state independence that allowed Uzbekistan to become a full member of the international community, independently pursue its foreign policy and set its own priorities in accordance with its own conditions. It is known that in the first years of independence, Uzbekistan was recognized as a sovereign state by about 130 countries, and our Republic established diplomatic relations with more than 60 countries.
Geologie et amenagement de la montagne
Authors: Antoine Pierre , Marie Robert
Published: March 2020

After defining highland surroundings, the authors review the main climatic, lithologic and structural features which deal with slope stability in mountain areas. Taking as an example civil engineering works needed by the modern, high altitude, winter sport resorts, they analyse the dangers so induced on natural slope stability. Such an analysis allows introduction and comment about the concept of natural hazards related to slope movements and enhances the numerous problems which arise at each attempt to quantify such hazards or to delimit the areas submitted to their effects as well as administrative means for prevention. Main steps of the evolution of laws and regulations are reviewed, and a brief analysis of natural hazards map, including most recent maps of liability to natural hazards are presented.