PENERAPAN SISTEM INFORMASI MANAJEMEN TERHADAP BUDIDAYA IKAN GURAME DAN IKAN HIAS DESA SAMBIROBYONG

This study aims to determine the understanding of how to cultivate carp and ornamental fish with tarpaulin pond media, to determine marketing strategies for gouramy and ornamental fish, to determine the sales of gouramy and ornamental fish, and to know how to apply a management information system to carp cultivation. and ornamental fish. Cultivation of gouramy and ornamental fish is a business that is considered to have a fairly large level of profit. By using the right cultivation system, starting from capital, making ponds and stocking capacity, determining seeds, maintenance, determining selling prices, and harvesting times, the results will be maximized. The focus of this research is, How is the application of management information systems to SMEs in the cultivation of gouramy and ornamental fish in Sambirobyong village. This research use desciptive qualitative approach. This data collection technique is done by interviewing the informants in the field. And the research results obtained are the process of making ponds with tarpaulin media is an effective and efficient way compared to concrete or cast pools, the provision of water and seeds is adjusted to the width of the pool, marketing and sales strategies are also good, namely by using a website management information system.

Internet of Things for Smart Agriculture monitoring and prediction system

Internet of Things for Smart Agriculture monitoring and prediction system

Micro-Elimination of Hepatitis C among Patients with Kidney Disease by Using Electronic Reminder System—A Hospital-Based Experience

Background: Little is known about the use of an electronic reminder system for HCV screening among patients with kidney disease. In this study, we tried to determine whether reminder systems could improve the HCV screening rate in patients with kidney disease. Methods: Patients with kidney disease were enrolled from August 2019 to December 2020 to automatically screen and order HCV antibody and RNA testing in outpatient departments. Results: A total of 19,316 outpatients with kidney disease were included, and the mean age was 66.5 years. The assessment rate of HCV antibody increased from 53.1% prior to the reminder system to 79.8% after the reminder system (p < 0.001), and the assessment rate of HCV RNA increased from 71% to 82.9%. The anti-HCV seropositivity rate decreased from 7.3% at baseline to 2.5% after the implementation of the reminder system (p < 0.001), and the percentage of patients with detectable HCV RNA among those with anti-HCV seropositivity decreased from 69.1% at baseline to 46.8% (p < 0.001). Conclusions: The feasibility of an electronic reminder system for HCV screening among patients with kidney disease in a hospital-based setting was demonstrated.

MLLP-VRAIN Spanish ASR Systems for the Albayzín-RTVE 2020 Speech-To-Text Challenge: Extension

This paper describes the automatic speech recognition (ASR) systems built by the MLLP-VRAIN research group of Universitat Politècnica de València for the Albayzín-RTVE 2020 Speech-to-Text Challenge, and includes an extension of the work consisting of building and evaluating equivalent systems under the closed data conditions from the 2018 challenge. The primary system (p-streaming_1500ms_nlt) was a hybrid ASR system using streaming one-pass decoding with a context window of 1.5 seconds. This system achieved 16.0% WER on the test-2020 set. We also submitted three contrastive systems. From these, we highlight the system c2-streaming_600ms_t which, following a similar configuration as the primary system with a smaller context window of 0.6 s, scored 16.9% WER points on the same test set, with a measured empirical latency of 0.81 ± 0.09 s (mean ± stdev). That is, we obtained state-of-the-art latencies for high-quality automatic live captioning with a small WER degradation of 6% relative. As an extension, the equivalent closed-condition systems obtained 23.3% WER and 23.5% WER, respectively. When evaluated with an unconstrained language model, we obtained 19.9% WER and 20.4% WER; i.e., not far behind the top-performing systems with only 5% of the full acoustic data and with the extra ability of being streaming-capable. Indeed, all of these streaming systems could be put into production environments for automatic captioning of live media streams.

managemen system

The four problems that become the main study in this study. First, how to plan early child’s character development through habituation and exemplary in the Kindergarten of Al-Quran Matsaratul Huda Panempan Pamekasan. Second, how to organize the development of early child’s character through habituation and exemplary in the kindergarten of Al-Quran Matsaratul Huda Panempan Pamekasan. Third, how the implementation of early child’s character development through habituation and exemplary in the kindergarten of Al-Quran Matsaratul Huda Panempan Pamekasan. Fourth, how to evaluate the character development of the early child through habituation and examplary in the kindergarten of Al-Quran Matsaratul Huda Panempan Pamekasan. It is a qualitative descriptive study where the data collected through field observation, interviews, and documentation. The results showed that developing an early child’s character should be well managed. Instilling good habituation for the children and becoming an excellent example of the teachers proved successful in early child’s character development.

Automated Chloroform-Methanol Protein Extraction on the Biomek-FX Liquid Handler System v2

This protocol details steps to extract protein from Gram-negative bacterial or fungal cells (that have been pretreated with zymolyase) in quantitative proteomic workflows by using a Biomek FX liquid handler system. It is a semi-automated protocol that includes several 'pause' steps for centrifugation steps that are conducted manually "off-deck". This protocol works best as part of an automated proteomic sample preparation workflow with: Automated Protein Quantitation with the Biomek-FX liquid handler system and Automated Protein Normalization and Tryptic Digestion on a Biomek-NX Liquid Handler System

Automated Protein Normalization and Tryptic Digestion on a Biomek-NX Liquid Handler System v2

This protocol details steps to normalize the amount of protein for tryptic digestion in quantitative proteomic workflows by using a Biomek NX liquid handler system. It is optimized to normalize protein concentrations in a 96-well plate format and add TCEP, IAA, and trypsin. This protocol works best as part of a semi-automated proteomic sample preparation workflow with: Automated Chloroform-Methanol Protein Extraction on the Biomek-FX Liquid Handler System and Automated Protein Quantitation with the Biomek-FX liquid handler system

Automated Protein Quantification with the Biomek-FX Liquid Handler System v2

This protocol details steps to perform the protein quantification (Lowry-based) assay by using a Biomek FX liquid handler system. It is optimized to assay a full 96-well plate of protein samples in duplicate with a separate (control) plate for BSA standards. You will need a plate reader to measure the samples and standards. This protocol works best as part of a full proteomic sample preparation workflow with: Automated Chloroform-Methanol Protein Extraction on the Biomek-FX Liquid Handler System and Automated Protein Normalization and Tryptic Digestion on a Biomek-FX Liquid Handler System

Crosslinking assay to study a specific cargo-coat interaction through a transmembrane receptor in the secretory pathway v1

Intracellular trafficking through the secretory organelles depends on transient interactions between cargo proteins and transport machinery. Cytosolic coat protein complexes capture specific luminal cargo proteins for incorporation into transport vesicles by interacting with them indirectly through a transmembrane adaptor or cargo receptor. Due to their transient nature, it is difficult to study these specific ternary protein interactions just using conventional native co-immunoprecipitation. To overcome this technical challenge, we have applied a crosslinking assay to stabilize the transient and/or weak protein interactions. Here, we describe a protocol of protein cross-linking and co-immunoprecipitation, which was employed to prove the indirect interaction in the endoplasmic reticulum of a luminal secretory protein with a selective subunit of the cytosolic COPII coat through a specific transmembrane cargo receptor. This method can be extended to address other transient ternary interactions between cytosolic proteins and luminal or extracellular proteins through a transmembrane receptor within the endomembrane system.

Welchen Weg nimmt die „Straße der Zukunft“? – Digitalisierung der Straße im Sonderforschungsbereich/Transregio 339 „Digitaler Zwilling Straße“/Which route takes the “Road of the Future”? – Digitalization of the road within the Collaborative Research Center/ Transregio 339 „Digital Twin of the Road System“

Die Mobilität von Menschen und Gütern ist ein wesentlicher Stützpfeiler einer funktionierenden Gesellschaft und Grundlage einer leistungsfähigen Wirtschaft. Die Mobilität im Bereich des Straßenverkehrs ist in ihrer derzeitigen Form mit enormen Herausforderungen auf globaler Ebene konfrontiert (Dauerhaftigkeit, Sicherheit, Effizienz, Ökologie, Kosten, Automatisierung etc.). Im Sonderforschungsbereich/Transregio 339, der von der Deutschen Forschungsgemeinschaft seit Januar 2022 gefördert wird, forschen mehrere Institute der TU Dresden und der RWTH Aachen (Bauwesen-Informatik-Gesellschaft) an einem räumlich wie zeitlich mehrdimensionalen, digitalen Abbild (Realitätsmodell in Raum und Zeit) aus Fahrzeug, Reifen und Fahrbahn. Das Realitätsmodell „Digitaler Zwilling Straße“ ist gekennzeichnet durch die intelligente Verknüpfung aller relevanten Informationen über das System „Straße der Zukunft“, einschließlich physikalischer Materialuntersuchungen, numerischer Simulationen sowie informatorischer und verkehrlicher Daten (Sensordaten, Datenmodelle etc.).