Current Development Research Articles

Review of Recent Patents on Smart Bearing

Background: Smart bearing is based on the traditional bearing, which is integrated by sensing devices and control devices, formating a unique bearing structure unit. It uses information processing, automatic control, and other technologies to achieve real-time online monitoring of bearing operating conditions, fault detection, and state control. Compared with ordinary bearings, smart bearings have the characteristics of self-awareness, self-decision, and self-regulation. By analyzing the composition of various types of smart bearings and their working principles, it is beneficial to prospect the future development direction of bearings. Objective: We analyze and organize the patents on smart bearings in recent years, summarize the problems encountered in the development of smart bearings, and propose the development direction of smart bearings in the future to provide a reference for future scientific research. Methods: This paper reviews the patents related to smart bearings and analyzes the composition and structure of smart bearings. The main smart bearings include rolling bearing, sliding bearing, magnetic bearing, and rubber bearing. The principle and structure of these bearings are analyzed. Their advantages and shortcomings are discussed. Results: Through the analysis of relevant patents and papers on smart bearings, the current development status and problems of smart bearings are summarized, the future design of smart bearings is proposed, and the research ideas and directions are proposed. Conclusion: The development of smart bearings is conducive to the timely detection of bearing conditions in the operation process. Except for detection, smart bearings have the functions of judgment, feedback, processing, etc. There are many factors that interfere with the accuracy of the smart bearing judgment and information transfer, so it is necessary to improve the structure and working principle of smart bearings through a variety of measures. In the future, more smart bearings will be invented.

Bibliometric insights into data mining in education research: A decade in review

This bibliometric study on data mining in education synonymous with big educational data utilizes VOSviewer and Harzing’s Publish and Perish to analyze the metadata of 1,439 journal articles found in Scopus from 2010 to 2022. As bibliometric analyses in this field are lacking, this study aims to provide a comprehensive outlook on the current developments and impact of research in this field. This study employs descriptive and trends analysis, co-authorship analysis, co-citation analysis, co-occurrences of keywords, terms map analysis, and analysis of the impact and performance of publications. It also partially replicates a similar study conducted by Wang et al. (2022), who used the Web of Science (WoS) database. The study is reported in an article entitled ‘Big data and data mining in education: A bibliometrics study from 2010 to 2022’. Results show that data mining in education is a growing research field. There is also a significant difference between the publications in Scopus and WoS. The study found several research areas and topics, such as student academic performance prediction, e-learning, machine learning, and innovative data mining techniques, to be the core basis for collaborating and continuing current research in this field. These results highlight the importance of continuing research on data mining in education, guiding future research in tackling educational challenges.

A comprehensive review on different types of fuel cell and its applications

This review article provides an overview of various types of fuel cells that are currently being researched and developed. Fuel cells are electrochemical devices that convert chemical energy directly into electrical energy, making them a promising technology for clean and efficient energy production. The review covers the principles of operation and key characteristics of proton exchange membrane fuel cells (PEMFCs), solid oxide fuel cells (SOFCs), alkaline fuel cells (AFCs), direct methanol fuel cells (DMFCs), and microbial fuel cells (MFCs). The article also discusses the advantages and limitations of each type of fuel cell, as well as the current research and development efforts aimed at improving their performance and reducing their costs. Overall, this review provides a comprehensive understanding of the various types of fuel cells and their potential applications in the field of energy production.

Flavonoid-metal ion Complexes as Potent Anticancer metallodrugs: A comprehensive Review.

Flavonoids and their analogous are mainly found in pink lady apples, green and black tea (catechins), celery and red peppers, onions, broccoli and spinach, berries, cherries, soybean, citrus fruits, and fungi. The different derivatives of flavonoids belonging to polyphenolic compounds such as 3,4',5,7-Tetrahydroxyflavylium (pelargonidin), 2-(3,4-Dihydroxyphenyl)chromenylium-3,5,7-triol (cyanidin), 3,3',4',5,5',7-Hexahydroxyflavylium (delphinidin), 3,3',4',5,7-Pentahydroxy-5'-methoxyflavylium (petunidin), and 3,4',5,7-Tetrahydroxy-3',5'-dimethoxyflavylium (malvidin) can act as good chelating agents for metal-chelate complex formation. These flavonoid-metal complexes have been reported to have various biomedical and pharmacological activities. Flavonoid-metal ion complexes display a broad spectrum of biological properties such as antioxidant, anti-inflammatory, anti-allergic, antiviral, anticarcinogenic, and cytotoxic activity. The literature survey showed that flavonoid metal complexes have potential therapeutic properties against various cancerous cells. The objective is to gain insight into the current perspective and development of novel anticancer metallodrug drugs. The flavonoid-metal ion complexes can be prepared by reacting flavonoid ligand with appropriate metal salt in aqueous or alcoholic reaction medium under stirring or refluxing conditions. In this review article, the various reported methods for the synthesis of flavonoid-metal complexes have been included. The utility of synthetic methods for flavonoid-metal complexes will support the discovery of novel therapeutic drugs. In this review study, short libraries of flavonoid-metal ion complexes were studied as potential anticancer agents against various human cancer cell lines. The review report reveals that metal ions such as Fe, Co, Ni, Cu, Zn, Rh, Ru, Ga, Ba, Sn etc., when binding to flavonoid ligands, enhance the anticancer activity compared to free ligands. This review study covered some important literature surveys for the last two decades. It has been concluded that flavonoid metal complexes have been associated with a wide range of biological properties that could be noteworthy in the medicinal field. Therefore, to develop a new anticancer drug, it is essential to determine the primordial interaction drug with DNA under physiological or anatomical conditions. The study of numerous flavonoid metal complexes mentioned in this paper could be the future treatment against various cancerous diseases.

A Review of Recent Patents on LoRaWAN

Background: LoRaWAN technology enables IoT devices with ubiquitous connectivity, which further empowers a broad spectrum of applications, including civil engineering, agriculture, and smart home. Although LoRaWAN has low-power energy consumption and long-range communication capability, it has many features that should be carefully managed to improve its performance. Objective: This paper aimed to review recent patents on improving the performance of LoRaWAN. Methods: The most related patents on improving the performance of LoRaWAN were discussed and analyzed. Results: A total of 71 patents were reviewed. This paper proposed a 2D taxonomy to categorize the existing patents. These patents aimed at focusing on the main components of LoRaWAN, i.e., end node, gateway, and server, and improving the performance of LoRaWAN from six aspects, i.e., energy efficiency, communication range, transmission efficiency, collision management, network security, and interoperability. The methodologies used in the current patent development were also discussed. Conclusion: Tremendous efforts have been devoted to improving the performance of LoRaWAN in recent years. To continue the growth of LoRaWAN technology, future patent development may focus on scalability, cost-effectiveness, and ease of implementation.

Current Prospects in Rheumatoid Arthritis: Pathophysiology, Genetics, and Treatments.

An autoimmune inflammatory disease, rheumatoid arthritis (RA), predominantly affects the synovium joint lining, augmenting disability, early mortality, and socioeconomic difficulty. Therefore, current updates on pharmacological therapies are crucial for developing drugs to treat the disease at each stage. This review attempts to compile a thorough analysis of current developments in our knowledge of RA pathogenesis and disease-modifying drugs, with the aim of providing insights for next-generation RA therapeutics. According to the literature, the most successful drugs for treatment techniques described so far in this include (cs) DMARDs (sub-class of DMARDs), tsDMARDS (targeted synthetic DMARDS), and bDMARDs (biological DMARDs). However, current pharmacologic therapy (consisting of biological, conventional, and creative views of small molecule anti-rheumatic drugs that treat the disease or DMARD) remains the cornerstone of rheumatoid arthritis treatment with which significant progress toward disease remission has been accomplished. The pathobiology of RA involves cytokine messengers such as B and T-cells, and an intricate interplay of pro-inflammatory cytokines responsible for activating and developing effector cells, in turn, accountable for local disease and systemic symptoms. Despite the fact that the cause of rheumatoid arthritis is not known, new treatments have been created as a result of better approaches towards the biology of the disease. As they target molecules directly implicated in the genesis of rheumatoid arthritis, these drugs may be more effective, targeted, and less harmful in the short and long term than standard therapies.

Systematic Review on the Current Situation and Development of Local Antimicrobial Agents in Revision Arthroplasty for Periprosthetic Joint Infection (PJI)

Systematic Review on the Current Situation and Development of Local Antimicrobial Agents in Revision Arthroplasty for Periprosthetic Joint Infection (PJI)

Mapping trends and hotspots regarding the use of telenursing for elderly individuals with chronic diseases: A bibliometric analysis.

Telenursing is receiving extensive attention from scholars and medical staff. However, there are few studies on the knowledge structure of telenursing for elderly individuals with chronic diseases. This study aims to demonstrate current research status and development trend of telenursing for elderly individuals with chronic diseases through a visual analysis of CiteSpace, so as to provide a more comprehensive perspective for future researches. Literature about telenursing for elderly patients with chronic diseases from 2002 to 2022 was retrieved from the Web of Science Core Collection using CiteSpace 6.1.R3. A total of 375 records were obtained. Annual publication and citation frequency gradually increased over the investigated period, reaching a peak in 2022. Journal of Telemedicine and Telecare was the most prolific and the most cited journal. The United States was the most productive country, the University of Melbourne was the most productive institution, and the author CHEN C ranked the highest in the number of publications. The most popular keywords were "care," "telemedicine," "management," "older adult," "chronic disease," "health," and "heart failure," which had a high frequency and centrality. The keywords "telehealth," "randomized controlled trail," "chronic obstructive pulmonary disease," "implementation" and "time" showed the strongest citation burst. The keywords were clustered to form 10 labels. The article published in 2010 by Chaudhry SI was cited the most. The top 3 cited journals were all special journal of telemedicine. This study revealed current research status and development trend of telenursing for elderly individuals with chronic diseases. The bibliometric analysis of telenursing expands the knowledge field of telemedicine and provides new insights into the management of elderly patients with chronic diseases.

Mapping the Viewer Experience in Cinematic Virtual Reality: A Systematic Review

Abstract In recent years, the creative media landscape has witnessed growing interests surrounding the utilization of virtual reality (VR) as a novel visual narrative approach for both filmmakers and audiences. This trend is accompanied with an increase in studies aimed at scientifically examining the characteristics and principles of immersive visual storytelling. This paper intends to contribute to this growing field by offering a comprehensive review on the current research development in cinematic virtual reality (CVR), which employs VR technology to produce immersive, cinematic experiences for audiences. While extant research has focused on the content generation techniques and human performance implicated in virtual environments, such investigations may not fully explain the medium adaptation differences or emotional dimensions of narrated immersive experiences. These aspects are especially crucial in the context of visual storytelling through VR film, 360-degree video production, or other narrated experiences. The proposed study systematically categorizes CVR-related research, revealing the field's current state by narrowing the focus to specific topics and themes within CVR literature, and highlighting key subdomains of interest centered on viewers’ experience measurement techniques. The findings of this review are expected to establish formal categories for implementing visual CVR to achieve immersive visual storytelling and provide a comprehensive analysis of current viewer experience measurements.

Generation and Application of Aryl Radicals Under Photoinduced Conditions.

Photoinduced aryl radical generation is a powerful strategy in organic synthesis that facilitates the formation of diverse carbon-carbon and carbon-heteroatom bonds. The synthetic applications of photoinduced aryl radical formation in the synthesis of complex organic compounds, including natural products, physiologically significant molecules, and functional materials, have received immense attention. An overview of current developments in photoinduced aryl radical production methods and their uses in organic synthesis is given in this article. A generalized idea of how to choose the reagents and approach for the generation of aryl radicals is described, along with photoinduced techniques and associated mechanistic insights. Overall, this article offers a critical assessment of the mechanistic results as well as the selection of reaction parameters for specific reagents in the context of radical cascades, cross-coupling reactions, aryl radical functionalization, and selective C-H functionalization of aryl substrates.

Human Machine Interface

This document presents a comprehensive literature survey of recent advancements in Human-Machine Interaction (HMI), with a primary focus on cutting-edge technologies poised to significantly shape the future trajectory of this field. By providing insights into current technical achievements and prospective developments, it becomes evident that advanced HMI technologies are on the brink of convergence. This convergence entails the integration of functionalities across HMI devices, the establishment of novel sensor fusion methodologies, and an overarching goal of bridging the gap between intelligent machines and humans. HMI holds pivotal importance in enabling the widespread adoption of robots and machines among populations lacking expertise in software and hardware. This is particularly transformative for segments such as the elderly and disabled, where intuitive interfaces facilitated by HMI facilitate enhanced accessibility and usability. As the field progresses, it is poised to revolutionize the way individuals interact with and benefit from intelligent machines, thereby fostering inclusivity and empowerment across diverse demographic groups. Key Words: HMI, sensor, robot and machines, software and hardware.

Achievements and prospects for further development of photodynamic therapy technology in the treatment of cerebral tumors

Literature review reflects the current status and development status of intraoperative photodynamic therapy in neurooncology and discusses the results of the most important studies on photodynamic therapy (PDT). We searched the Pubmed, EMBASE, Cochrane Library and eLibrary databases for publications published between January 2000 and December 2022. Found 204 publications in foreign sources and 59 publications in domestic editions, dealing with the issues of photodynamic therapy in neurooncology. An analysis of the literature has shown that intraoperative PDT in neurooncology is an important tool that contributes to increasing the radicality of the operation and local control. The basic rationale for the effectiveness of PDT lies in the study of the pathways leading to the complete devitalization of a malignant tumor, the study of the mechanisms of the local and systemic immune response. In addition, subcellular targets in PDT are determined by the properties of photosensitizers (PS). Second generation PSs have already been introduced into clinical practice. The effectiveness of PDT using photoditazine, 5-aminolevulinic acid has been demonstrated. The mechanisms of action and targets of these PS have been established. In Russia, a number of studies have repeatedly shown and proved the clinical effectiveness of PDT in groups of neurooncological patients with glial tumors and secondary metastatic tumors, but so far, the method has not been included in the clinical guidelines for the provision of high-tech neurosurgical care. There is certainly a need for further development of PTD techniques in neurooncology, especially in patients at high risk of recurrence and aggressive CNS tumors.

Current developments and future perspectives of nanotechnology in orthopedic implants: an updated review.

Orthopedic implants are the most commonly used fracture fixation devices for facilitating the growth and development of incipient bone and treating bone diseases and defects. However, most orthopedic implants suffer from various drawbacks and complications, including bacterial adhesion, poor cell proliferation, and limited resistance to corrosion. One of the major drawbacks of currently available orthopedic implants is their inadequate osseointegration at the tissue-implant interface. This leads to loosening as a result of immunological rejection, wear debris formation, low mechanical fixation, and implant-related infections. Nanotechnology holds the promise to offer a wide range of innovative technologies for use in translational orthopedic research. Nanomaterials have great potential for use in orthopedic applications due to their exceptional tribological qualities, high resistance to wear and tear, ability to maintain drug release, capacity for osseointegration, and capability to regenerate tissue. Furthermore, nanostructured materials possess the ability to mimic the features and hierarchical structure of native bones. They facilitate cell proliferation, decrease the rate of infection, and prevent biofilm formation, among other diverse functions. The emergence of nanostructured polymers, metals, ceramics, and carbon materials has enabled novel approaches in orthopaedic research. This review provides a concise overview of nanotechnology-based biomaterials utilized in orthopedics, encompassing metallic and nonmetallic nanomaterials. A further overview is provided regarding the biomedical applications of nanotechnology-based biomaterials, including their application in orthopedics for drug delivery systems and bone tissue engineering to facilitate scaffold preparation, surface modification of implantable materials to improve their osteointegration properties, and treatment of musculoskeletal infections. Hence, this review article offers a contemporary overview of the current applications of nanotechnology in orthopedic implants and bone tissue engineering, as well as its prospective future applications.

Analisis Sistem Informasi Akuntansi Penggajian Dalam Upaya Mendukung Pengambilan Keputusan Pada Rumah Sakit Umum Haji Medan

Current economic developments have been encouragingcompany growth to enlarge and expand spacescope of business. Likewise, current information systems havemakes it easier for companies to deal with problems that may occur in the payroll process. Objective This research is to find out how the system is implemented payroll accounting at the Medan Haji General Hospital and for find out whether the payroll accounting system is implemented by Companies can help management in decision making towards salary. This type of research is a type of qualitative research with a descriptive approach that uses primary data such as results of interviews with the company and secondary parties such as structureorganization. Data collection techniques were carried out using techniques observation, interviews, and literature, data analysis methods used is a descriptive method. This research was conducted in Medan Haji General Hospital which is located on Jl. Hajj Hospital – Estate terrain and research time starts in January 2024 until the completion of this thesis. The results of this research show that the accounting system implemented by the Hajj General Hospital to handle payroll has been quite adequate in helping company management in making decisions regarding salaries, p This is good because the company employs employees from a wide range levels and in very large numbers and provide rewards for their services in the form of salaries, so the company must have effective accounting system.

Modern prospects for the port infrastructure development of the Northern Sea Route

The current development stage of the Northern Sea Route is associated with the active port infrastructure development and an increase in cargo traffic. This development dynamics is attributed to national strategic priorities and targeted funding of projects. In this connection, administrative regulation and regulatory lawmaking are actively developing. One of the difficulties in implementing infrastructure projects in the Arctic region is related to the trend of permafrost soil degradation. The system of geocryological monitoring of the Arctic allows the state of the permafrost zone to be taken into account when implementing projects.

Transcription Factor MYB as Therapeutic Target: Current Developments.

The MYB protein is a pivotal player in the cellular transcriptional network, influencing major important processes such as cell proliferation, differentiation, and apoptosis. Because of its role in oncogenesis, MYB is now a compelling target for therapeutic interventions in cancer research. This review summarizes its molecular functions and current therapeutic approaches aiming to inhibit its oncogenic activity.

Current development of theragnostic nanoparticles for women's cancer treatment.

In the biomedical industry, nanoparticles (NPs - exclusively small particles with size ranging from 1 - 100 nanometres) are recently employed as powerful tools due to their huge potential in sophisticated and enhanced cancer theragnostic (i.e. therapeutics and diagnostics). Cancer is a life-threatening disease caused by carcinogenic agents and mutation in cells, leading to uncontrolled cell growth and harming the body's normal functioning while affecting several factors like low levels of ROS, hyperactive antiapoptotic mRNA expression, reduced proapoptotic mRNA expression, damaged DNA repair, and so on. NPs are extensively used in early cancer diagnosis and are functionalized to target receptors overexpressing cancer cells for effective cancer treatment. This review focuses explicitly on how NPs alone and combined with imaging techniques and advanced treatment techniques have been researched against "women's cancer" such as breast, ovarian, and cervical cancer which are substantially occurring in women. NPs, in combination with numerous imaging techniques (like PET, SPECT, MRI, etc.) have been widely explored for cancer imaging and understanding tumor characteristics. Moreover, NPs in combination with various advanced cancer therapeutics (like magnetic hyperthermia, pH responsiveness, photothermal therapy, etc.), have been stated to be more targeted and effective therapeutic strategies with negligible side effects. Furthermore, this review will further help to improve treatment outcomes and patient quality of life based on the theragnostic application-based studies of NPs in women's cancer treatment.&#xD.

Educational Endowments and their Role in Investing in Human Capital - Islamic Economic Assessment

This study addresses educational endowments and their role in investing in human capital from the perspective of Islamic economics, which is considered a branch of development avenues that enhances genuine development opportunities in society. The study poses a primary question: What is the Islamic economic estimation of educational endowments, and to what extent do they contribute to investing in human capital? The study found that endowments for education have contributed to improving and raising the educational level. Endowment institutions have financed the infrastructure of educational and pedagogical endowment institutions, thus reducing the financial burdens on the state budget. Educational endowments have significant effects in economic, social, and educational fields, contributing and continuing to contribute to raising the level of the Islamic society in those areas. The study recommends the necessity of developing the legislative and legal foundations regulating endowment institutions and management methods of educational endowments to align with current developments and the spirit of the times.

Future ecosystem service provision under land-use change scenarios in southwestern Ethiopia

ABSTRACT Continued pressure and transformation of land-use by humans are key drivers of biodiversity and ecosystem services (ES) loss. To determine the sustainability of possible future land-use practices, it is important to anticipate likely future changes to biodiversity and ES. This can help stakeholders and decision-makers to understand and assess the viability of current development policies and design alternative future pathways. Focusing on a biodiversity hotspot in southwestern Ethiopia, we considered four future land-use scenarios (namely: ‘Gain over grain’, ‘Coffee and conservation’, ‘Mining green gold’ and ‘Food first’ scenarios) that were developed in an earlier project via participatory scenario planning. We modelled and mapped the spatial distribution of six ES (erosion control, carbon storage, coffee production, crop production, livestock feed, and woody-plant richness) for the current landscape and the four scenarios. Our results show that potential ES changes differed strongly across the scenarios. Changes were strongest for land-use scenarios involving large-scale agricultural intensification; and changes were not uniformly distributed across the landscape. Smallholder farmers specializing on cash crops (‘Gain over grain’ scenario) would likely cause little change to ES generation, but major losses in ES would result from expanding either food or coffee production (‘Mining green gold’ and ‘Food first’). Finally, the ‘Coffee and conservation’ scenario appears to be the most sustainable scenario because it would secure diverse ES for the long term. Our findings provide valuable input for decision-makers and stakeholders and could help to identify sustainable land-use options.

A Survey of Cutting-edge Multimodal Sentiment Analysis

The rapid growth of the internet has reached the fourth generation, i.e. web 4.0, which supports Sentiment Analysis (SA) in many applications such as social media, marketing, risk management, healthcare, businesses, websites, data mining, e-learning, psychology, and many more. Sentiment analysis is a powerful tool for governments, businesses, and researchers to analyse users’ emotions and mental states in order to generate opinions and reviews about products, services, and daily activities. In the past years, several SA techniques based on Machine Learning (ML), Deep Learning (DL), and other soft computing approaches were proposed. However, growing data size, subjectivity, and diversity pose a significant challenge to enhancing the efficiency of existing techniques and incorporating current development trends, such as Multimodal Sentiment Analysis (MSA) and fusion techniques. With the aim of assisting the enthusiastic researcher to navigating the current trend, this article presents a comprehensive study of various literature to handle different aspects of SA, including current trends and techniques across multiple domains. In order to clarify the future prospects of MSA, this article also highlights open issues and research directions that lead to a number of unresolved challenges.