Quick Growth Research Articles

A developer-oriented recommender model for the app store: A predictive network analytics approach

While thousands of new mobile applications (i.e., apps) are being added to the major app markets daily, only a small portion of them attain their financial goals and survive in these competitive marketplaces. A key to the quick growth and success of relatively less popular apps is that they should make their way to the limited list of apps recommended to users of already popular apps; however, the focus of the current literature on consumers has created a void of design principles for app developers. In this study, employing a predictive network analytics approach combined with deep learning-based natural language processing and explainable artificial intelligence techniques, we shift the focus from consumers and propose a developer-oriented recommender model. We employ a set of app-specific and network-driven variables to present a novel approach for predicting potential recommendation relationships among apps, which enables app developers and marketers to characterize and target appropriate consumers. We validate the proposed model using a large (>23,000), longitudinal dataset of medical apps collected from the iOS App Store at two time points. From a total of 10,234 network links (recommendations) formed between the two data collection points, the proposed approach was able to correctly predict 8,780 links (i.e., 85.8 %). We perform Shapley Additive exPlanation (SHAP) analysis to identify the most important determinants of link formations and provide insights for the app developers about the factors and design principles they can incorporate into their development process to maximize the chances of success for their apps.

The Effect of Schizochytrium sp. on the Growth and Health of Fish

The rapidly expanding aquaculture sector of the worldwide fisheries industry is mostly due to fish feed. Omega-3 long-chain polyunsaturated fatty acids, which are good for fish health and growth, are mostly found in fish oil. However, the cost of fish oil is increasing while its production is declining. Aquaculture can be maintained with the use of alternate aquafeeds. Due to their quick growth, aquatic protists have a lot of potential as a source of omega-3 oil. Schizochytrium sp. can be used to substitute fish oil in aquafeed due to its high lipid and DHA content, according to numerous research. The purpose of this review is to determine the effects of utilizing Schizochytrium sp. in fish feed on fish growth and health. The nutritional value and optimal dosage of Schizochytrium sp. for various fish sizes are discussed. The optimal concentration of Schizochytrium sp. varies by species and can replace fish oil in the range of 20–80%. Several studies found that replacing fish oil in fish food with Schizochytrium sp. made the fish grow faster, live longer, gain weight, and eat more food. In the future, Schizochytrium sp. and several types of marine protists have the potential to serve as alternative sources that can replace fish oil in fish feed.

An Overview of Green Bioprocessing of Algae-Derived Biochar and Biopolymers: Synthesis, Preparation, and Potential Applications

Algae have the potential to be used as a feedstock for the synthesis of valuable compounds and biofuels. In addition, algal waste can be further transformed into biofuel, biogas, and biochar using different thermochemical processes such as microwave pyrolysis, pyrolysis, torrefaction, and hydrothermal conversion. Due to its high specific surface area, rapid electron transport, and graphitic carbon structure, algal biochar carbonized at high temperatures has shown outstanding performance for applications as CO2 adsorbents, supercapacitors, and persulfate activation. Due to the combination of various functional groups and porous structures, the algae biomass pyrolysis at a moderate temperature produced high-quality biochar that shows high performance in terms of pollutant removal, while low-temperature pyrolysis produces coal fuel from algae via torrefaction. Over time, there have been exponentially more petroleum-based polymers created that have harmful impacts on both humans and the environment. As a result, researchers are becoming more interested in algae-based biopolymers as a potential alternative strategy for establishing a sustainable circular economy globally. The advantages of microalgal biopolymer over other feedstocks are its capacity to compost, which provides greenhouse gas credits, its quick growth ability with flexibility in a variety of settings, and its ability to minimize greenhouse gas emissions.

The first Lithuanian geography books

The abundance of literary sources issued in the XIX and XX century and their analysis showed quick development of sciences of the nature during that period and it affected a quick growth of edition of Lithuanian books. Much attention was paid to geographical books. The following persons deserved to the Lithuanian culture contributed to their edition: S. Matulaitis, J. Adomaitis-Šernas, P. Vileišis, J. Biliūnas etc. They translated the works of foreign scientists or wrote according to their editions. The following scientists should be mentioned: A. Geikie, H. N. Hutchinson, M. Brzezinski, F. Piotrowski etc. The first Lithuanian geological editions were issued in a big run and were reissued. The books were mostly printed abroad: in Tilsit, Chicago, Philadelphia and other cities. Keywords: Lithuanian press ban, geographical books, book publishing.

Recent advancement in quantum dot-based materials for energy storage applications: a review.

The need for energy storage and conversion is growing as a result of the worsening consequences of climate change and the depletion of fossil fuels. Energy conversion and storage requirements are rising as a result of environmental problems including global warming and the depletion of fossil fuels. The key to resolving the energy crisis is anticipated to be the quick growth of sustainable energy sources including solar energy, wind energy, and hydrogen energy. In this review, we have focused on discussing various quantum dots (QDs) and polymers or nanocomposites used for SCs and have provided examples of each type's performance. Effective QD use has really led to increased performance efficiency in SCs. The use of quantum dots in energy storage devices, batteries, and various quantum dots synthesis have all been emphasized in a number of great literature articles. In this review, we have homed in on the electrode materials based on quantum dots and their composites for storage and quantum dot based flexible devices that have been published up to this point.

Analysis and Prediction of Differential Operation and Maintenance Cost of Power Transmission and Transformation

The operation and maintenance expenses of power transmission and transformation projects, as a significant power supply carrier of the nation, continue to rise as a result of the sustained and quick expansion of China's social economy and the quick growth of the country's power demand. Power grid businesses are under a lot of market pressure. To increase the level of lean management of the operation and maintenance costs of power transmission and transformation projects, power grid enterprises must significantly enhance their capacity to estimate the operation and maintenance costs of their organizations in advance. Machine learning algorithms are gradually applied to the operation and maintenance cost prediction of power transmission and transformation projects of power grid enterprises as a result of the ongoing development of big data technology, effectively increasing the accuracy of operation and maintenance cost prediction. In this paper, by analyzing the variables affecting the differential operation and maintenance cost of power transmission and transformation projects, a scientific and reasonable investment analysis model for the differential operation and maintenance cost of power transmission and transformation projects is constructed using the stochastic forest algorithm of particle swarm optimization, and the variables affecting the differential operation and maintenance cost of substations and transmission lines are obtained, which proves that the trend of the prediction model in this paper is more consistent with the actual situation.

CKL2 mediates the crosstalk between abscisic acid and brassinosteroid signaling to promote swift growth recovery after stress in Arabidopsis.

Plants must adapt to the constantly changing environment. Adverse environmental conditions trigger various defensive responses, including growth inhibition mediated by phytohormone abscisic acid (ABA). When the stress recedes, plants must transit rapidly from stress defense to growth recovery, but the underlying mechanisms by which plants switch promptly and accurately between stress resistance and growth are poorly understood. Here, using quantitative phosphoproteomics strategy, we discovered that early ABA signaling activates upstream components of brassinosteroid (BR) signaling through CASEIN KINASE 1-LIKE PROTEIN 2 (CKL2). Further investigations showed that CKL2 interacts with and phosphorylates BRASSINOSTEROID INSENSITIVE1 (BRI1), the main BR receptor, to maintain the basal activity of the upstream of BR pathway in plants exposed to continuous stress conditions. When stress recedes, the elevated phosphorylation of BRI1 by CKL2 contributes to the swift reactivation of BR signaling, which results in quick growth recovery. These results suggest that CKL2 plays a critical regulatory role in the rapid switch between growth and stress resistance. Our evidence expands the understanding of how plants modulate stress defense and growth by integrating ABA and BR signaling cascades.

Mapping Knowledge Area Analysis in E-Learning Systems Based on Cloud Computing

Traditional educational systems and learning have been significantly impacted by the quick growth of information and communication technology. Moreover, the learning process is increasingly important for socioeconomic and business success in our modern society. Therefore, at present, cloud computing is crucially important in connection with e-learning systems. The goal of this research is to conduct a thorough assessment of scientific production in the field of e-learning and cloud technology fields using the bibliometric analysis method’s quantitative approach in order to comprehensively review and analyze the subject. The current study reviews the literature by focusing on specific research areas and revealing certain trends. The research examines 637 articles published between 2007 and 2022 in the Web of Science database (WoS) using the VOSviewer software version 1.6.18 (Leiden University, The Netherlands) and bibliometrix R-package. The goal of this research is to conduct a thorough assessment of scientific production in the field of e-learning and cloud technology fields using the bibliometric analysis method’s quantitative approach to comprehensively review and analyze the subject. Currently, there is no unified approach and extensive bibliometric review that tackle both of these topics cohesively; thus, this research aims to fill this gap. The results shed light on the structure, evolution, main trends, and effect of the research field of e-learning systems based on cloud computing by intensively evaluating and analyzing the scientific output, key contributions to the subject, and possible directions for future research. The most productive country in terms of scientific knowledge and number of citations is China. It is noteworthy that the interest of researchers comes from various regions of the world, while the most prolific authors come from Serbia, Japan, and Romania. The average citation number per document is 6.8, while the most citations were obtained by highly influential article about critical factors influencing learner satisfaction for successful e-learning. Regarding the conceptual structure that assists researchers to understand keyword evolution and trend, four clusters were identified, which reside around the topics “Technology”, “Education”, “Delivery Systems” and “Cloud services”. Given these points, the current study’s implications reveal the significance of e-learning technologies based on cloud computing, along with the direct correlation between these two elements.

Improved Security and Handover Technique in (4G) LTE

Mobile communications play a significant role in our daily lives and are receiving greater attention from researchers as a result of the information and network technologies' quick growth. To meet the public's need for high speed, the 3GPP organization suggested the LTE mobile system. The LTE employs a hierarchical key management to enhance secure data transmission. However, the existing system lacks backward security and is susceptible to attack during the X2 handover procedure. We suggest an improved security feature by group key to address the mentioned problems and guard against malicious base stations and malicious attacks during the LTE x2 handover operation.

Design of Moving Coverage Algorithm of Ecological Monitoring Network for Curved Surface

Micro-structured sensors that can perceive and communicate at the same time have emerged as a result of the quick growth of microelectronics technology, wireless communication technology, and sensor technology. This little gadget has the ability to sense many types of environmental data, gather it at the sink node, and then send it to the data centre. In the civic, industrial, agricultural, military, and other domains, wireless sensor networks are frequently employed. A virtual force model of curved surface ecological monitoring network for moving coverage is presented, and a moving coverage algorithm for curved surface ecological monitoring network is given, according to the actual needs of curved surface ecological monitoring, such as grasslands, wetlands, deserts, and coastal beaches. The moving coverage algorithm of curved surface ecology monitoring network pushes the sensor nodes to the uncovered area on the monitored surface and fixes the monitoring blind zone on the monitored surface using a virtual force between sensor nodes in the ecological monitoring network. The moving coverage process of the moving coverage algorithm of the ecological monitoring network is simulated in order to verify the efficiency of the moving coverage algorithm of curved surface ecological monitoring network. The simulation results demonstrate that the moving coverage algorithm suggested in this paper can successfully increase the coverage of the ecological monitoring network on the monitoring surface by precisely locating the monitoring blind zone of the ecological monitoring network and pushing the sensor nodes to the monitoring blind zone for coverage. The final coverage ratio is greater than 95%, and the node deployment phase’s coverage ratio can reach 85% to 90%.

Chemical Preintercalation Synthesis of Versatile Electrode Materials for Electrochemical Energy Storage.

ConspectusThe widespread use of electrical plants and grids to generate, transmit, and deliver power to consumers makes electricity the most convenient form of energy to transport, control, and use. Balancing electricity demand with electricity supply requires a mechanism for energy storage, which is enabled by electrical energy storage devices such as batteries and supercapacitors. In addition to the grid-level energy storage, we have all witnessed the quick growth of a number of applications that require autonomous power, illustrated by the Internet of Things, and electrification of transport. Batteries, when developed for targeted applications with specific requirements, require new materials with improved performance enabled by rational design on the atomic level. The material tunability knobs include chemical composition, structure, morphology, and heterointerfaces, among others. Synthesis methods that could enable control of these parameters while offering versatility and being facile are highly desired.In this Account, we describe a synthesis strategy for the creation of new intercalation host oxides, hybrid materials, and compounds with oxide/carbon heterointerfaces for use as electrodes in intercalation batteries. We begin by introducing a strategy called the chemical preintercalation synthesis approach and describing processing steps that can be used to tune the material's chemical composition, structure, and morphology. We then show how the chemical preintercalation of inorganic ions can be used to improve the ion diffusion and stability of the synthesized materials. We reveal how confined interlayer water can be controlled and how the degree of hydration affects the electrochemical performance. This is followed by a demonstration of the chemical preintercalation of organic molecules leading to unprecedented expansion of the interlayer region up to ∼30 Å and initial electrochemical characterization of the obtained hybrid materials. We then present evidence that the carbonization of the interlayer organic molecules is an efficient synthetic pathway for creating oxide/carbon heterointerfaces and improving the electronic conductivity of oxides, which leads to improved stability and rate capability during electrochemical cycling. The examples discussed in this Account show that the chemical preintercalation synthesis approach opens pathways for the preparation of materials that have not been synthesized previously, such as new phases, hybrid materials, and 2D heterostructures with advanced functionalities. We demonstrate that chemical preintercalation can be used to effectively tune the chemistry of the confined interlayer region in layered phases and form tight oxide/carbon heterointerfaces enabling control of the material properties at the atomic level.

Mapping Growth of the Russian Domestic Propaganda Apparatus on Telegram

As a part of Western sanctions against Russia, big social media companies i.e., Facebook, Twitter, and YouTube, have been limiting their functionalities available to Russians and suspending and limiting reach of Russian influencers. Many Russian propagandist, aware of the risk of becoming deplatformed, were already looking for social media platforms with less moderation before the February 24th. With many Russians using Telegram as their preferred communicator, Telegram became the natural choice. Russian government, by blocking access to Western social media platforms by Russian users and by directing state influencers to migrate their domestic audiences to Telegram, has accelerated this trend. Despite many advantages, Telegram is limited in ease with which new content and channels can be discovered. Telegram search for channels is based on exact string matching and Telegram has no content search or content recommendation functionality built into it. Telegram’s advertising mechanism is still in its infancy. To enable quick growth of the key state propaganda channels, Russians employed several tactics. They have selected a few existing influencers, such as Vladimir Soloviev, to substitute for the absent search and recommendation engine. Soloviev’s Telegram channels has been heavily advertised on legacy media, starting with TV stations carrying his programs, to serve as an onramp to Telegram. Soloviev has regularly featured reviews of other smaller channels, endorsing, and promoting their pro-conflict content, becoming the missing recommendation engine for Russians. All the above resulted in creating a vast, Telegram-based apparatus of domestic state propaganda. In this paper, we trace the growth of Russian pro-conflict Telegram communities and quantify the impact of centralized endorsement by state influencers on the growth of other smaller, specialized Telegram channels.

Production of biofuel from microalgae grown in wastewater- A review

There is an urgent demand for an evolution of renewable energy resources due to the rising global energy demand, resource depletion, growing emphasis on reducing climate change, and resource scarcity. Among many resources, Microalgae are thought to be the cleanest alternative feedstock for biofuels and biorefineries because of their advantages of quick growth, effective carbon dioxide fixation, lack of competition for agricultural production and potable water, and the potential to accumulate massive volumes of lipids and carbohydrates. Therefore, this review has discussed the different wastewater which can support and enhance the growth of microalgae, biosynthesis of lipids, production of biofuels from microalgae, and biochemical properties of biofuel. In order to minimize the accumulation of wastewater to protect the environment from pollution, apply wastewater to grow microalgae to achieve the goal of bio circular economy. This review provides clear details and a summary of the production of biofuel from microalgae grown in wastewater.

Thermal resistances model for a soil-to-air thermoelectric generator device

Wireless sensor networks (WSNs) are being used more and more often as a result of the Internet of Things' quick growth. The largest constraint on the lifespan of WSNs is the issue with power supply. The thermal resistance model of thermoelectric devices and the thermoelectric conversion model are developed in this paper to solve this problem. The impact of environment on the thermal resistance of the system is examined based on this model, and the voltage and power that the system can produce in various conditions is determined using the thermoelectric conversion model. The system can generate a maximum voltage of 0.52 V and power of 2.24 mW, according to field trial results, which offers a workable solution to the energy constraint issue faced by wireless sensor nodes.

Time-frequency nexus between tourism development, economic growth, human capital, and income inequality in Singapore

ABSTRACT Eliminating inequality is one of the United Nations’ 2030 sustainable development goals. However, quick growth and tourism development may increase the income gap between the higher- and lower-income classes. This study is conducted to analyse the lead-lag connectedness between three vital macroeconomic variables and income inequality from 1978 to 2019 in Singapore, a top-visited country. By adopting wavelet techniques, the outcomes reveal that tourism development (TO) positively drives income inequality (IE) at medium- and high-frequency, while economic growth (GDP) strongly impacts IE at medium frequency. Similarly, human capital (HDI) negatively influences IE during the same period. Based on these findings, the research suggests helpful lessons for Singapore and emerging countries in reducing income inequality.

Novel and rare species of nontuberculous mycobacteria by Hsp-65 gene sequencing.

Nontuberculosis mycobacterium (NTM) is the emerging group of organisms being recognized as etiological agents for diverse clinical conditions such as lymphadenitis, cutaneous, and pulmonary or disseminated lesions. Diverse background patients can acquire these infections such as immunocompetent, immunocompromised patients, or postoperative settings. Rapid addition of newer strains to this group necessitates heightened suspicion in the clinical settings. Specific requirements for cultures, biochemical testing, and molecular methods are needed to diagnose these organisms. The prospective study conducted at Nizam's Institute of Medical Sciences from January 2019 to December 2021 using various clinical samples using molecular techniques such as line probe assay and hsp-65 gene sequencing to discover new NTM species. The management is challenging since it requires prolonged treatment, multiple drugs, drug resistance, and individualization of treatment in the combination of surgery if needed. In this article, we describe three different NTM species which were not reported in India and highlight to consider these organisms in adequate clinical situation. Mycobacterium iranicum is a rare strain with quick growth and scotochromogenic colonies that are orange-colored. Eight distinct strains were discovered in clinical samples from six different countries: Two each from Iran, Italy, Greece, the Netherlands, Sweden, and the United States. Two of the strains were recovered from cerebrospinal fluid, which is unusual. Mycobacterium species AW6 is an unidentified and unclassified Mycobacterium according to NCBI taxonomy. Mycobacteria malmoense has been linked to lymphadenitis, notably cervical adenitis in children, and pulmonary infection in the majority of cases. Using Line Probe Assay and hsp-65 gene sequencing, novel and uncommon species of NTM were detected from a clinical samples, including sputum and tissue. We report three unusual species of NTMs: M. iranicum, M. species-AW6, and M. malmoense for the first time in India. Novel and rare emerging species of NTMs need to be considered in diverse clinical situations for appropriate therapy and good clinical outcomes.

Evaluation of Allelopathic Potential of Pluchea indica on Brassica chinensis and Zea mays

Weeds have become one of the leading causes of crop production losses, including the cost of weed management, weed crop competition, and weed intervention with crop management practices. Moreover, herbicide use in agricultural systems is currently being debated due to the potential adverse effects on the environment and human health. The utilization of the allelopathic phenomenon is widely considered an alternative weed management strategy. However, allelopathic study of Pluchea indica plant was limited. P. indica is a flowering plant under family Asteraceae, locally known as Beluntas. Thus, this study was conducted to determine the allelopathic effects of the aqueous leaf extract of P. indica on the seedling growth of tested plant species and to investigate the effect of P. indica leaf debris on the growth of tested plant species. In this study, the allelopathic potential of P. indica leaves were investigated through petri dish bioassay and soil bioassay method. The two tested plant species were chosen for the bioassay: monocotyledonous; maize (Zea mays) and dicotyledonous; mustard (Brassica chinensis). These tested plant species were chosen for the experiment due to their known quick seedling growth behaviours and commonly used in allelopathic studies. The result showed that as the concentration of aqueous leaf extract increased, the inhibition percentage of the radicle length of B. chinensis and Z. mays were increased. However, stimulatory effect was observed on the radicle length of B. chinensis and Z. mays when 1.3%and 2.5% w/w P. indica leaf debris were applied. Thus, aqueous leaf extract and leaf debris of P. indica have potential allelopathic effects on the growth of B. chinensis and Z. mays. Further studies need to be conducted on other bioassay species especially weed species, to elucidate the allelopathic potential of P. indica in weed control.

Culture Potential of Mud Crab in Konkan Region of Maharashtra

The Konkan, is a western Indian coastal plain located between the Arabian Sea and the Western Ghats (east). The plain extends roughly 330 miles (530 km) from the Terekhol River between the states of Maharashtra and Goa and the union territory of Daman and Diu in the south to the Daman Ganga River to the north of Mumbai (Bombay). between 45 and 76 kilometers (28 to 47 miles) in width. The adoption of scientific and technical knowledge of ecological and resource potential studies has foreseen the proper utilization of this natural resource for sustainable development. The majority of the farms in the Indian shrimp business have been decimated by infections, primarily WSD. The main issue in shrimp farming is viral infections, which hamper the nation's social and economic development. Socioeconomic estimates of the effects of diseases include issues like losses in production, revenue, employment, investor and customer trust, food shortages, trade disruptions, or firm closure. Due to their attractive traits, such as quick growth, greater size, high fertility, disease resistance, marketability, adaptability to farming techniques, etc., mud crabs are a "candidate species for aquaculture.

A facile and green approach toward precise fabrication of silk fibroin-based microfluidic devices using water as etchant

Regenerated silk fibroin (RSF) is considered as a superior substrate material for biocompatible and biodegradable microfluidic devices. However, the manufacture of RSF-based microfluidic chips in a simple, low-cost, and environmentally friendly manner remains a difficulty. We devised a tape mask-assisted approach for preparing RSF-based microfluidic chips for cell adhesion and growth utilizing water as an eco-friendly etchant. The RSF solution was pre-hydrolyzed to assure the RSF film's water-solubility. The UV–visible spectra reveal that the RSF film, as made, is easily dissolved in water. The film could be turned into a water-insoluble state after being treated with ethanol for 40 min. Concave and convex micro-patterns may be formed on the RSF film using tape mask-assisted water etching and ethanol-induced insolubilization. Controlling the etching period allowed the tape-mask designs to be carefully transferred to the RSF film. Unlike LiBr etching, water treatment creates channels that are covered by a smooth RSF hydrogel layer, which may aid cell adhesion and development. The creation of the hydrogel layer might be explained by the insoluble RSF chains exposed after water etching and the ethanol-induced conformation change. Human umbilical vein endothelial cells were seeded in a blood vessel-like RSF-based channel, demonstrating the quick attachment and growth tendency. After 7 days of growth, a micro-vessel-like structure was visible in the channel, suggesting the device's high biocompatibility and vast potential. This work introduces a low-cost, facile and eco-friendly approach to fabricating RSF-based microfluidic devices for cell- or tissue-based assays.

Application of Hybrid Filtering Strategies in Music Recommendation System

Everyone has their own distinct musical preferences; it's safe to assume that each music will find an appreciative audience. It's important to note that there isn't a single human society that has ever survived without music. There are two major gains from this study. Initially, a multi-strategy approach is taken to develop hybrid recommendation algorithms that give more accuracy than the existing algorithms. Also this hybrid algorithm is used to find new music in real time. This allows the algorithm to make an educated guess as to which musician and song best suit the user. As a second step, a general context-aware and emotion-based customized music framework is offered to facilitate the quick growth of context-aware music recommendation systems and to shed light on the whole recommendation procedure. Multiple methods exist for responding to requests, and a general framework is required for both collecting these methods and interpreting them within the context of the proposed framework. The kind of recommendation algorithm used is decided by the format of the input.