Rapid Breakthrough Research Articles

Guest Acceptors with Lower Electrostatic Potential in Ternary Organic Solar Cells for Minimizing Voltage Losses.

The ternary strategy, in which one guest component is introduced into one host binary system, is considered to be one of the most effective ways to realize high-efficiency organic solar cells (OSCs). To date, there is no efficient method to predict the effectiveness of guest components in ternary OSCs. Herein, three guest compositions (i.e., ANF-1, ANF-2 and ANF-3) with different electrostatic potential (ESP) are designed and synthesized by modulating the electron-withdrawing ability of the terminal groups through density functional theory simulations. The effects of the introduction of guest component into the host system (D18:N3) on the photovoltaic properties are investigated. The theoretical and experimental studies provide a key rule for guest acceptor in ternary OSCs to improve the open-circuit voltage, that is, the larger ESP difference between the guest and host acceptor, the stronger the intermolecular interactions and the higher the miscibility, which improves the luminescent efficiency of the blend film and the electroluminescence quantum yield (EQEEL) of the device by reducing the aggregation-caused-quenching, thereby effectively decreasing the non-radiative voltage loss of ternary OSCs. This work will greatly contribute to the development of highly efficient guest components, thereby promoting the rapid breakthrough of the 20% efficiency bottleneck for single-junction OSCs.

Prediction Of Chlorophyll-a As an Index of Harmful Algal Blooms Using Machine Learning Models

Highlights The monitoring of HABs can be improved using ML models for chlorophyll-a prediction. ML model selection for HABs monitoring depends on target objectives. Random forest model predicts chlorophyll-a better when the temporal dimension is not considered. The LSTM model is essential for making time-dependent chlorophyll-a predictions for HABs monitoring. Abstract. The complex dynamics of freshwater harmful algal blooms (HABs) necessitate proactive monitoring approaches to mitigate their impacts. The rapid breakthrough in computing prowess and statistical advances is triggering the development of data-driven techniques such as machine learning (ML) models, which have been shown in different fields to be instrumental in finding patterns for explaining relationships in observed data. This study assesses the ability of ML models for HABs monitoring in a lake using chlorophyll-a concentration as the index. The selected models for this study were regression tree, random forest (RF), multilayer perceptron (MLP), support vector regression (SVR), long short-term memory (LSTM), and gated recurrent unit (GRU) models, with the last two models able to consider the temporal sequence of obtained water quality datasets. The results showed that the RF model with R2, mean absolute error (MAE), and root mean square error (RMSE) of 0.87 µgL-1, 0.97 µgL-1, and 3.53 µgL-1, respectively, outperformed the SVR, MLP, and regression tree models. LSTM model with MAE and RMSE of 2.39 µgL-1 and 3.29 µgL-1, respectively, predicted temporal dynamics of chlorophyll-a better than GRU, although with more runtime, and showed the potential for developing real-time HAB monitoring and early warning systems. The findings reveal the robustness of the chosen ML models, thereby shedding light on crucial factors that necessitate careful deliberation by researchers and policymakers in determining the most suitable approaches for monitoring HABs. Keywords: Cyanobacteria, Early warning systems, Freshwater, HABs, Machine learning models.

Artificial Intelligence (AI): An Armamentarium of Forensic Odontologist to Discern Child Abuse

Three in every four children has confronted child abuse of one kind or another, and the past few decades have shown a tremendous rise in the tally of such incidents. The most common type of child abuse includes physical, mental, emotional, and psychological abuse. There has been a rapid breakthrough in artificial intelligence technology in recent years, and it has also spread its branches in the field of Forensic Odontology. Forensic Odontologists have significantly used AI technology to decipher bite marks and mandibular morphology and estimate age. Pediatric Forensic Odontology presents significant challenges and opportunities for applying AI. In this article, we discuss the application of AI, particularly concerning recognizing signs of child abuse in head and neck structures. Sixteen papers were selected, keeping their practical relevance in the steps of diagnosis of child abuse in mind. Dental forensic experts should consider an advanced diagnosis of child abuse as it could considerably allow the identification of child abuse cases and early intervention.

Harnessing the Immune System: An Effective Way to Manage Diffuse Large B-Cell Lymphoma.

Diffuse large B-cell lymphoma (DLBCL) is a heterogenous hematological disorder with malignant potential controlled by immunological characteristics of the tumor microenvironment. Rapid breakthrough in the molecular pathways has made immunological approaches the main anchor in the management of DLBCL, with or without chemotherapeutic agents. Rituximab was the first monoclonal antibody approved for the treatment of DLBCL. Following rituximab that transformed the therapeutic landscape, other novel immunological agents including chimeric antigen T-cell therapy have reshaped the management of relapsed/refractory DLBCL. However, resistance and refractory state remain a challenge in the management of DLBCL. For this literature review, we screened articles from Medline, Embase, Cochrane databases and the European/North American guidelines from March 2010 through October 2022 for DLBCL. Here we discuss immunological agents that will significantly affect future treatment of this aggressive type of lymphoma.

Investigation of pore geometry influence on fluid flow in heterogeneous porous media: A pore-scale study

Brazilian pre-salt reservoirs are renowned for their intricate pore networks and vuggy nature, posing significant challenges in modeling and simulating fluid flow within these carbonate reservoirs. Despite possessing excellent petrophysical properties, such as high porosity and permeability, these reservoirs typically exhibit a notably low recovery factor, sometimes falling below 10%. Previous research has indicated that various enhanced oil recovery (EOR) methods, such as water alternating gas (WAG), can substantially augment the recovery factor in pre-salt reservoirs, resulting in improvements of up to 20%. Nevertheless, the fluid flow mechanism within Brazilian carbonate reservoirs, characterized by complex pore geometry, remains unclear. Our study examines the behavior of fluid flow in a similar heterogeneous porous material, utilizing a plug sample obtained from a vugular segment of a Brazilian stromatolite outcrop, known to share analogies with certain pre-salt reservoirs. We conducted single-phase and multi-phase core flooding experiments, complemented by medical-CT scanning, to generate flow streamlines and evaluate the efficiency of water flooding. Subsequently, micro-CT scanning of the core sample was performed, and two cross-sections from horizontal and vertical plates were constructed. These cross-sections were then employed as geometries in a numerical simulator, enabling us to investigate the impact of pore geometry on fluid flow. Analysis of the pore-scale modeling and experimental data unveiled that the presence of dead-end pores and vugs results in a significant portion of the fluid remaining stagnant within these regions. Consequently, the injected fluid exhibits channeling-like behavior, leading to rapid breakthrough and low areal swept efficiency. Additionally, the numerical simulation results demonstrated that, irrespective of the size of the dead-end regions, the pressure variation within the dead-end vugs and pores is negligible. Despite the stromatolite's favorable petrophysical properties, including relatively high porosity and permeability, as well as the presence of interconnected large vugs, the recovery factor during water flooding remained low due to early breakthrough. These findings align with field data obtained from pre-salt reservoirs, providing an explanation for the observed low recovery factor during water flooding in such reservoirs.

Effect of CO2 Huff-n-Puff Mode with a Horizontal Well on Shale Oil Recovery: A Three-Dimensional Experimental Study

After conventional development, there is still a significant amount of residual oil as a result of the poor porosity and permeability characteristics of shale reservoirs. Although CO2 flooding is one of the most reasonable recovery techniques, it is affected by a serious sweep efficiency issue. In this paper, six CO2 huff-n-puff cooperative combination methods were established with the aid of three-dimensional physical simulation equipment, including CO2 huff-n-puff (HNP), water-disturbance-assisted CO2 huff-n-puff (WD-HNP), surfactant- and water-disturbance-assisted CO2 huff-n-puff (SWD-HNP), pumping-production-assisted CO2 huff-n-puff (PP-HNP), water-disturbance-assisted CO2 huff-n-puff after pumping production (WDP-HNP), and surfactant- and water-disturbance-assisted CO2 huff-n-puff after pumping production (SWDP-HNP). The displacement characteristics, utilization law, and development effect were investigated. CO2 huff-n-puff requires more gas injection quickly, and low permeability and pressure difference can easily cause irregular gas channeling, showing the arc linear flooding pattern. Water disturbance can significantly delay the rapid breakthrough, so that the displacement edge shows the radial flooding pattern. The effect of pumping production on the displacement is not obvious, and the leading edge still shows an oval-shaped flooding pattern. Surfactant assistance improves the gas injection ability, eventually demonstrating a plane steady flooding pattern. In comparison to HNP, the average enhancement degree of water injection disturbance, pumping production, and surfactant assistance to the utilization extent is 6.61, 1.82, and 8.93% respectively. Meanwhile, SWDP-HNP had the highest oil recovery (33.35%) among all modes. By comparison of effective productivity, it revealed that about 12% of the lifting range is helped by surfactant assistance, followed by a water injection disturbance lifting amplitude of 5.5%, while pumping production only led to a 3% improvement. With the combination of all development effect evaluation indicators, SWD-HNP is a reasonable displacement method to improve shale reservoir recovery in this study.

Sosialisasi tentang Pentingnya Peran Orang Tua bagi Remaja dan Anak-Anak dalam Penggunaan Internet

The development of information and communication technology is a very rapid breakthrough. Internet is a medium of information and communication that is connected globally and can be accessed by anyone and anywhere. Cibungur village is one of the villages in the Rancakalong sub-district, Sumedang district. People are very worried about the negative impact of the development of internet technology, especially for children and adolescents. With the phenomenon of technological development in Cibungur Village, it is necessary to provide understanding regarding the involvement of parents, especially those with small children or teenagers, how to anticipate children's dependence on accessing the internet. This research uses that method Community Based Research (CBR), including building the basic principles and concepts of research, research planning, Information gathering and analysis then action on the findings. After the implementation of the training, the Cibungur Village community represented by village officials, community leaders and parents with young children/adolescents could better understand the important role of parents for children in using the internet. So that children can control their daily activities, do not abandon the habit of studying through stationery, avoid addiction or bad habits of excessive use of electronic devices and use the internet as needed.

The importance of quality standards in fabric designs and women's fashion

The rapid breakthrough achieved by technological progress in the field of designing and implementing women's fashion has resulted in the emergence of the need for quality control and control to improve the completed visual image of fashion as an aesthetic and functional product and not clothed in its abstract qualities.The quality in women’s fashion and the importance of showing the design and conveying the design message to the recipient depends on the level of its implementation, starting from the selection of textile fibers and determining their appropriate characteristics for the functional purpose and design prepared by the designer and ending with the final operations of the costume. This calls for spreading awareness and culture of the concept of quality among all recipients, dealers and specialists in women's fashion to improve the mental image of fashion as an aesthetic and functional achievement.Hence, the research is directed to study the topic (the importance of quality standards in the designs of fabrics and women’s fashion), which deals with the research problem based on the imposition of the following question:What are the quality standards and their importance in the designs of fabrics and women's fashion?The aim of the research was to "know about the importance of quality standards and their applications within the production stages of designing fabrics and designing women's fashion."As for the limits of the research, it was limited to the adoption of women's fashion completed within the time period (2022), which was obtained from online shopping outlets.(https://miswag.net/dept/fashion - https://www.lcwaikiki.iq/fashio), according to selection considerations and within the limits of the research and its procedures. The theoretical framework was dealt with, including two sections, which were distributed as follows:The first topic: quality standards.The second topic is the indicators of judging the quality of women's fashion.The research procedures were determined by taking the descriptive approach to analyze the (4) samples, and their selection was according to what serves the research objectives. The researcher reached the most important conclusions as follows:1- The relationship between the designer and the implementing agency for women’s fashion is a consensual relationship, through which it is imperative that the designer not be exaggerated in the design units, taking into account clarity in its elements, which leads to reducing the chance of operational errors of the outfit and showing the design within its aesthetic and technical characteristics.2- The models showed an agreement on the necessity of quality control for all stages of implementation, starting from the quality of the fibers and ending with the complementary works of the uniform. And poor quality at any stage of implementation necessarily leads to women's fashion losing its formal and aesthetic appearance associated with the design prepared for it.ConclusionsIn light of the results of the sample analysis, the researcher concluded the following:1- The relationship between the designer and the executing agency for women’s fashion is a consensual relationship, through which it is imperative to apply the standard of codification by the designer in the design units and not to exaggerate them, taking into account clarity in its elements, which leads to reducing the chance of operational errors of the dress and showing the design within its aesthetic and technical characteristics.2- The attention of specialists in the women’s clothing industry in the type and quality of the fabric and the renewal of its prior suitability with the prepared design in terms of the degree of softness, wrinkle ability, texture, dimensional stability and resistance to damage in proportion to the time factor of use.3- Dyeing, printing and its quality are among the most important executive stages for cloth and clothing, through which it is determined to show the design prepared by the designer and the technical idea inherent in the design.4- The quality of the procedural processes for implementing and sewing the dress determines the acceptability of the dress by the beneficiary first. Then interact with the design prepared for it to reach the stage of acceptance and approval.5- The models showed an agreement on the necessity of quality control for all stages of implementation, starting from the quality of the fibers and ending with the complementary works of the uniform. And poor quality at any stage necessarily leads to women's fashion losing its formal and aesthetic appearance associated with the design prepared for it.6- Spreading awareness and culture of the importance of quality and adherence to its standards among workers and specialists in the women’s clothing industry to improve the completed visual image of fashion as an aesthetic and functional product and not clothed in its abstract qualities.

Numerical Simulation of the Microscopic Plugging Mechanism and Particle Flow Process of the Microsphere System.

The microsphere system has small initial particle size, excellent swelling performance, simple manufacturing process, and strong plugging ability. It has great application potential in the field of plugging and profile control of deep reservoirs. Microspheres can effectively plug the pores of fractured cores, inhibit the rapid breakthrough process, and improve the sweep efficiency of the injected fluids. However, the microscopic plugging mechanism of microspheres on fractured cores is still unclear. In this study, the distribution of microspheres after plugging was observed through specially prepared core models. Furthermore, the microscopic plugging mechanism of microspheres in fractured reservoir cores was clarified, including direct microsphere plugging, cluster bridging plugging, adhesion plugging, extrusion-deformation plugging, and extrusion-crushing plugging. Then, particle flow simulation software was used to establish the fluid-solid coupling model of microsphere plugging, and then, the numerical simulation of the plugging process was realized by Python module programming. Through this study, the plugging effect of microspheres under different fracture opening conditions was clarified. Moreover, the effects of injection pressure difference, fracture width, and particle size ratio on the fluid-solid structures of microsphere plugging were analyzed. The results show that the smaller the particle size ratio, the greater the injection pressure difference, the fracture width, and the reduction magnitudes in fracture porosity and core permeability and the higher the plugging rate. The numerical simulation results well support the microsphere plugging mechanism obtained by experiments. The results of this study can provide theoretical and technical support for the development of deep profile control and flooding and enhanced oil recovery technology of the polymer microsphere dispersion system in fractured low-permeability reservoirs.

Photo-Regeneration of Zeolite-Based Volatile Organic Compound Filters Enabled by TiO2 Photocatalyst.

Indoor air filtration received significant attention owing to the growing threat to the environment and human health caused by air pollutants such as volatile organic compound (VOC) gases. However, owing to the limited adsorption capacity of VOC adsorbents, such as activated carbon, a rapid breakthrough can occur, reducing the service life of the filter. Therefore, TiO2-coated zeolite (TiO2/zeolite) was utilized as a photo-regenerative VOC adsorbent to increase the service life of VOC filters. In particular, with photoactive TiO2 forms on zeolite, efficient and repetitive photo-regeneration is attainable through the dissociation of VOC molecules by the photocatalytic reaction. We optimized the TiO2 coating amount to obtain TiO2/zeolite particles with a high surface area (BET surface area > 500 m2/g) and high adsorption capacity. A VOC filter with an adsorption efficiency of 72.1% for formaldehyde was realized using TiO2/zeolite as the adsorbent. Furthermore, the TiO2/zeolite filter exhibits a photo-regeneration efficiency of >90% for the initial two regeneration cycles using ultraviolet illumination, and >60% up to five cycles. Based on these observations, we consider that TiO2/zeolite is a potential adsorbent candidate for photo-regenerative VOC filters.

Сучасний стан та перспективи підвищення функціональності доповненої реальності за допомогою нейронних мереж

The dynamics of the development of modern society and the rapid breakthrough of the technological component led to the need to interact with fast-changing and client-oriented information in real time. This need is met through the use of augmented reality technology, which allows users to interact in real time with both the real physical and virtual digital worlds. The rapid digitization of human existence has provoked an exponential increase in the amount of existing data, thereby posing new challenges to the scientific community. At the same time, the technology of deep learning, which is successfully applied in various fields, has a rather large potential. The purpose of this study is to present the potential of combining technologies of augmented reality and deep learning, their mutual improvement and further application in the development of modern highly intelligent programs. The work briefly provides an understanding of the concepts of augmented and mixed reality and also describes the technology of deep learning. Based on the literature review, relevant studies on the development of augmented reality applications and systems using these technologies are presented and analyzed. After discussing how the integration of deep learning into augmented reality increases the quality and efficiency of applications and facilitates the daily life of their users, conclusions and suggestions for future research are provided.

Obstacle Identification and Analysis to the Commercialization of CCUS Technology in China under the Carbon Neutrality Target

As the largest emitter of carbon dioxide all over the world, China requires a rapid breakthrough and large-scale commercial application of carbon capture, utilization and sequestration (CCUS) technology to achieve the 2060 carbon neutrality target. However, the process of CCUS technology commercialization in China is quite slow. Firstly, an obstacle system with 15 factors is established based on a literature review and expert consultation, namely on economic, technical, political, market, and social obstacles. Secondly, taking into account the uncertainty and randomness inherent in subjective judgment, Vague set is introduced for the first time to improve the DEMATEL-ANP (DANP) method in order to analyze comprehensive importance and causal relationship of obstacles. According to the study, in advancing CCUS’s commercialization in China, economic obstacles are simply the tip of the iceberg, with the deeper reasons rooted in political obstacles. Specifically, seven critical obstacles are lack of standards and regulations, inadequate legal and regulatory framework, insufficient incentive policies, limited carbon dioxide conversion efficiency, high energy consumption, low rate of return on investments and low investment enthusiasm of enterprise. We conclude with a series of recommendations to address these obstacles, and these findings can be used as a guide for government regulation and business practice.

«Smart City» in Socio-Political Projection (The Case of Barcelona)

This article reveals the process of becoming a “smart city” based on the materials of Barcelona. The socio-political aspects of the use of “smart city” technologies in the information and communication era are revealed.The authors use of the system method made it possible to study the technologies of the “smart city” in aggregate, and the use of the comparative method made it possible to establish the specifics of the development of Barcelona during the tenure of Mayor Xavier Trias and Ada Colau. The authors draw attention to the reasons for the recognition of the capital of Catalonia as the most high-tech city in the world in 2015. It is emphasized that Barcelona has made a rapid breakthrough in a relatively short period of time, turning into a post-industrial city. It is noted that the driver of Barcelona’s transformation was the holding of the XXV Summer Olympic Games in 1992, which essentially changed the appearance of the city.The authors point to the additional opportunities in city management that the information and communication revolution led to and the speed of the Internet penetration rate. It is emphasized that information and communication technologies led to the transformation of a rigidly vertical bureaucratic system of exercising power and set the vector of its transition to a horizontal (network model) based on the effects of high technologies.It is noted that the modern model of exercising power in Barcelona presupposes the active involvement of citizens in the processes of city management, based on the use of technological platforms that simplify coworking processes.As a result of the study, the authors come to the conclusion that the contemporary paradigm of the “smart city” involves the involvement of citizens as active participants in decisionmaking and planning. Attention is focused on the formation of two models of urban governance in Barcelona, differing in the dynamics of the exercise of power and the prevalence of tendencies from “top to bottom” (mayors of the city of K. Trias) and from “bottom to top” (mayor of the city A. Colau). The authors emphasize that modern Barcelona is not only a flagship of technological development, but also a city with democratic traditions and a high level of humancentered orientation.

Scale-up issues for commercial depth filters in bioprocessing.

Significant increases in cell density and product titer have led to renewed interest in the application of depth filtration for initial clarification of cell culture fluid in antibody production. The performance of these depth filters will depend on the local pressure and velocity distribution within the filter capsule, but these are very difficult to probe experimentally, leading to challenges in both process design and scale-up. We have used a combination of carefully designed experimental studies and computational fluid dynamics (CFD) to examine these issues in both lab-scale (SupracapTM 50) and pilot-scale (StaxTM ) depth filter modules, both employing dual-layer lenticular PDH4 media containing diatomaceous earth. The SupracapTM 50 showed a more rapid increase in transmembrane pressure and a more rapid DNA breakthrough during filtration of a Chinese Hamster Ovary cell culture fluid. These results were explained using CFD calculations which showed very different flow distributions within the modules. CFD predictions were further validated using measurements of the residence time distribution and dye binding in both the lab-scale and pilot-plant modules. These results provide important insights into the factors controlling the performance and scale-up of these commercially important depth filters as well as a framework that can be broadly applied to develop more effective depth filters and depth filtration processes.

THE POTENTIAL USE OF ANTIBODIES FROM EGG YOLKS OF BIRD EGGS IN THE CONTEXT OF FOOD SECURITY OF THE RUSSIAN FEDERATION

Bering E. proposed the principle of passive immunization at the end of the 19th century. Today, it is still used to treat tetanus, diphtheria, botulism, rabies and poisonous animal bites (snakes, spiders and scorpions). As before, equine antibodies or their fragments are used as an antidote. But the unique properties of antibodies from the yolks of chicken eggs (IgY) make it possible to use them for a wide range of therapeutic and prophylactic purposes. IgY-antibodies are used in several countries (Canada, Germany, Japan, China) on an industrial scale to produce medical and veterinary drugs to protect humans and animals against pathogens, providing highly effective immunological protection. The Romanian Romvac Company SA is a separate company in the series of manufacturers of these drugs. This company produces IgY preparations in limited batches against many antigens and practices the production of personalized antibodies directed at pathogens of a particular patient. This approach is guaranteed to damage the pathogen, however unique it may be. The authors have analyzed many review articles on the use of IgY-technology. These antibodies are nonaddictive, non-toxic, do not interact with rheumatoid factor, complement, or Fc-fragments of immunocompetent cells, and do not cause antibody-dependent reinforcement of infection. Oral administration of specific IgY-antibodies significantly reduces the manifestations of celiac disease and pathological conditions caused by activation of pathogens in the gastrointestinal tract. Passive immunization of young farm animals with IgY-antibodies is economical and practical against many mammals, birds and aquatic animals. The great potential of this new direction can provide a rapid and cost-effective breakthrough in improving the adequate food security of the Russian Federation.

THE IMPORTANCE OF “COMMUNİTY CENTERS” AS A CULTURAL INSTITUTION IN THE DEVELOPMENT OF REPUBLIC PERIOD MUSEUM

The development of museology in Turkey corresponds to the last period of the Ottoman Empire (westernization period). One of the main reasons why the idea of museology developed in a late period in Turkey was that the protection of cultural heritage did not gain importance. In this direction, the importance of protecting ancient artifacts in a building and being a museum has been understood late. However, thanks to the museum examples that Ahmet Fethi Pasha, one of the important statesmen of the period, saw during his European travels, the lack of a museum in Turkey was constantly mentioned. European museums, which influenced the Pasha, strengthened the idea of establishing a museum in Istanbul day by day. Thus, museology activities were started with the transformation of Hagia Eirene Church into a museum. Hagia Iri Church was the first example in Turkey in terms of forming the core of the idea of museology. Ottoman period museology, after the foreign directors, Osman Hamdi Bey was appointed as the museum director, and Turkish Museology was brought to life in a real sense. Osman Hamdi has spent a lot of effort to advance museology in accordance with the contemporary understanding of museology. Considering in this context, it has been a preparatory stage in the museum of the Republic Period. When we look at the museums of the Republic Period, museum activities were carried out with a rapid breakthrough under the leadership of Atatürk. Community Centers, were established in order to adopt the reforms made in this period to the public. In time, a “museum branch” was added to the Community Centers. With the museology branch, it was aimed to explain the importance of museology to the public and to be sensitive about it. In the community centers, ethnographic materials reflecting the culture of the people were collected in the first place. Thus, preliminary preparations were made for the museums to be established. The main purpose of the study is to emphasize the importance of the Community Centers established in the Republican Period in Turkish Museology. Thanks to the community centers and cultural institutions established under the leadership of Atatürk, the adoption of museology to the public and its contributions to museology will be expressed. In the study, the historical background of the community centers will be included and the connection of these institutions with museology will be tried to be expressed.

Research on Novel CMUTs for Detecting Micro-Pressure with Ultra-High Sensitivity and Linearity.

Capacitive micromachined ultrasonic transducers (CMUTs) have been indispensable owing to their resonance characteristics in the MHz frequency range. However, the inferior pressure sensitivity and linearity of traditional CMUTs themselves cannot meet the actual demands of micro-pressure measurements. In this paper, two novel CMUTs are proposed for the first time to improve the measuring performance of micro-pressure in the range of 0–10 kPa. The core concept of the enhancement is strengthening membrane deformability by partly adjusting the CMUT framework under the combined action of electrostatic force and uniform pressure. Two modified structures of an inverted frustum cone-like cavity and slotted membrane are presented, respectively, and a finite element model (FEM) of CMUT was constructed and analyzed using COMSOL Multiphysics 5.5. The results demonstrate that the maximum displacement and pressure sensitivity are improved by 16.01% and 30.79% for the frustum cone-like cavity and 104.22% and 1861.31% for the slotted membrane, respectively. Furthermore, the results show that the width uniformity of the grooves does not influence the characteristics of the membrane, which mainly depend on the total width of the grooves, greatly enriching design flexibility. In brief, the proposed structural designs can significantly improve the micro-pressure measurement performance of the CMUT, which will accelerate the rapid breakthrough of technical barriers in the fields of aerospace, industry control, and other sensing domains.

Application of an Accurate and Efficient Modeling Approach to a Multiscale Fractured Reservoir in South China Sea

Carbonate reservoirs in the South China Sea mostly contain natural fractures with various length scales and different intensities, which causes great challenges in efficient reservoir modeling and flow simulation. Existing efforts based on dual-porosity and dual-permeability models could not reflect the characteristics of production data in certain wells. To accurately and efficiently characterize multiscale fractures, a hybrid fracture characterization method is proposed. Firstly, fractures are divided into two types according to the geometrical size and interpretation approach. Then, small-scale fractures, characterized mainly by image log interpretations, are modeled by the traditional dual-porosity/dual-permeability (DP) method. And large-scale fractures, which are characterized by seismic interpretations and dominate the flow regime, are modeled by the embedded discrete fracture method (EDFM) to achieve both accuracy and efficiency. Lastly, transmissibilities among these three types of grid mediums are calculated to generate the hybrid DP+EDFM model for flow simulation. The proposed approach is applied to a carbonate, fractured reservoir in the South China Sea. The overall procedure is fast and reliable, and water cut matches of both field and specific wells are dramatically improved. Comparing the simulation results with the conventional DP model, the proposed approach yields much more accurate predictions on rapid water breakthrough and high water cut in fractured reservoirs.

Improvement in power conversion efficiency of all-polymer solar cells enabled by ultrafast channels for charge dynamics

Despite the rapid breakthrough of polymerized fused-ring small molecular acceptors, developing accessible and inexpensive polymer acceptors for high performance all-polymer solar cells (all-PSCs) and revealing the fundamental work mechanism of all-PSCs is highly desirable. In addition, the isomeric issue of polymerized fused-ring small molecular acceptors still needs to be concerned. In this work, we report an accessible and inexpensive polymer acceptor P2TF by polymerization of 2,2'-((2Z,2Z)-((4,4,9,9-tetrahexyl-4,9-dihydro-s-indaceno [1,2-b:5,6-b']dith-iophene-2,7-diyl)bis (me-thanylylidene))bis (3-oxo-2,3-dihydro-1H-indene-2,1-diylide-ne)) dimalononitrile-based small molecular. Molecular electrostatic potentials and permanent dipole moments are evaluated by theoretical calculations, revealing that structural isomerization has a negligible impact on their optoelectronic properties. Femtosecond-resolved transient absorption, device charge dynamic measurements and space-charge limited current method are performed to systematically investigate charge dynamics in all-PSCs. The PM6:P2TF-based as-cast device exhibits poor power conversion efficiency of 4.51%, while the optimized device achieves a superior power conversion efficiency of 10.65%. The significantly improved performance of the optimized device originates from ultrafast channels of charge dynamics for ultrafast charge transfer, efficient charge transport and suppressed charge recombination, which is strongly related to the well-established morphology induced by optimal treatment. Furthermore, the PM6:P2TF also has excellent bending property, indicating its great potential for application in flexible all-PSCs.

Comparative Study on Feature Selection Techniques in Intrusion Detection Systems using Ensemble Classifiers

Network usage has become a paramount aspect of life, therefore, securing our networks is crucial. The world is experiencing a rapid breakthrough of internet usage, most especially with the concept of internet of things (IoT), now internet of everything (IoE. ). Real network data is rowdy, noisy and inconsistent. These issues with the data influences the performance of intrusion detection systems (IDS) and develop manifold of false alarms. Feature selection technique is used to remove the inconsistent and rowdy data from a large data set and presents a refined set of data. This research work adopts the use of two distinct feature selection technique in parallel: ReliefF ranking and particle swarm optimization, using linear discriminant analysis (LDA) and logistic regression (LR) as the machine learners, to first clean the data, train the classifiers, and subsequently classify new instances. The results showed that, the combination of the ReliefF with the ensemble machine learning (Linear Discriminant Analysis and Logistic Regression) has a higher classification accuracy of 99.7% compared to the Particle swarm optimization (PSO) which attained an accuracy of 98.6%.