Development Of Technology Research Articles

Imagine Denoising Methods Based on GANs

Abstract. With the continuous development of technology, peoples demand for image clarity is also constantly increasing. Whether in the fields of medical imaging, aerospace, or people's daily lives, noise in images seriously affects their clarity. Therefore, how to remove noise on the premise of preserving image details has now become a hot research topic. In the domain of image denoising, both early spatial domain filtering methods and recently proposed convolutional neural network models have certain limitations. Compared to other denoising methods, GANs can better remove noise from images and improve image quality. Therefore, this article summarizes and organizes image denoising methods based on GAN models. This article explains four GAN based image denoising methods, namely GAN, WGAN, DNGAN, and GCBD, from the perspectives of framework structure, advantages and disadvantages, and application fields. At the same time, this article also analyzes the development trend of GAN application in image denoising and makes prospects.

From Manuscripts to Machines: The Evolution of Book Publishing Devices

The paper discusses the publishing devices of the book throughout their transformational journey, starting from ancient manuscripts up to modern printing technologies. The study examines early printing techniques-from the laborious process of handwritten manuscripts through woodblock printing and movable type by personalities such as Bi Sheng and Johannes Gutenberg, respectively. With the invention of lithography and offset printing, mass production of books became customary in the 18th and 19th centuries and made books more publicly available. It further examines the effects of digital printing and electronic publishing in this century, which have redefined the production, distribution, and consumption of written material. It looks at the technological developments of these and how each of them has helped democratize knowledge and increased literacy rates globally.

SMOTE for enhancing Tunisian Hate Speech detection on social media with machine learning

In the last decade, the world has witnessed remarkable technological development, especially in artificial intelligence, which helps researchers find solutions to problems of concern to the individual and society, mainly, the huge propagation of hate speech with the increased use of social media platforms. In this study, we aim to enhance the detection of Arabic hate speech on social media by addressing challenges related to imbalanced datasets through data augmentation techniques. Several machine learning algorithms and the DziriBert, a pre-trained transformer model, are implemented on the Tunisian Hate Speech and Abusive Dataset (T-HSAB). The proposed approach achieves good results, improving the detection of hateful comments on Arabic social media using the Synthetic Minority Over-sampling Technique (SMOTE). Notably, the DziriBert model exhibits remarkable proficiency in detecting hate speech, achieving an accuracy of 82%. Random Forest (RF) and Linear SVC outperform the state of the art approaches, achieving the best result.

Peran Pemikiran Pendidikan KH. Ahmad Dahlan dalam Pendidikan Muhammadiyah Masa Kini

KH. Ahmad Dahlan, as the founder of Muhammadiyah, laid the foundations of Islamic education thinking that is oriented towards progress and renewal, making education an important means of producing a generation that is moral, knowledgeable, and able to face the challenges of the times. His thinking, which emphasizes the integration of religious and general sciences and the relevance of education to social reality, has become the main foundation of Muhammadiyah education until now. This article aims to examine the role and relevance of KH. Ahmad Dahlan's educational thought in the practice of Muhammadiyah education today, especially in facing the era of globalization and rapid technological development. The research method used is descriptive qualitative through library research. The results of the study show that the renewal values promoted by KH Ahmad Dahlan are still the main principles in the curriculum, learning methods, and vision of Muhammadiyah education. The implementation of this thought can be seen in the efforts of Muhammadiyah schools to produce graduates who are not only academically competent, but also have a strong Islamic personality, social spirit, and are ready to contribute to society. Thus, the thought of KH. Ahmad Dahlan not only provides direction for Muhammadiyah education, but also becomes the foundation in the development of Islamic education in Indonesia.

Digital Democracy: How Technology Can Drive Higher Voter Turnout in Elections

This article pinpoints the transformative role of technology in improving the rate at which people vote during elections. An important concept developed in this paper is that of digital democracy, and as such, a thorough analysis will be done on technological advancements, which have so far proved very instrumental in promoting civic participation and entailing more involvement in the democratic process by all concerned through online voter registration, mobile phone applications, and social media campaigns. The article, therefore, pinpoints studies showing that states that have adopted online registration actually report higher rates of active voters, while mobile apps present information that makes voting more manageable. Social media also offers an effective outreach opportunity, particularly among younger voters, to create in them a sense of community and urgency about participation in electoral activity. The integration of educational tools, such as virtual workshops and gamified learning, enables further development of the capability to push participants and voters forward in an accessible and engaging manner. The article leverages these advantages of technological developments as a means toward creating a better-informed and more active electorate contributing to the health of democracy.

Pengaruh Penambahan Serat Pohon Bambu Ampel (Bambusa Vulgaris) pada Komposit Hybrid untuk Material Bumper Kendaraan Bermotor

Technological developments continue to increase in line with the times, producing various innovations that provide benefits to society, especially in the material sector. The use of a mixture of natural and synthetic fibers in composites (hybrid) has produced a stronger material, which can function as an alternative material for car bumpers. This research was carried out with the aim of determining the values ​​of impact toughness, tensile strength, and failure patterns that occur in the fracture cross section of the specimen through macro photographs. In this research, a hybrid composite was formed by combining ampelous bamboo fiber, fiberglass, and polyester resin. Variations in volume fraction applied include: 5%:25%:70%, 10%:25%:65%, and 15%:25%:60%. The specimens were formed according to ASTM E23 standards for impact tests and ASTM D638 for tensile tests. The results of the impact and tensile tests showed that the lowest value of impact toughness was 0.0744 J/mm² and tensile stress was 120.29 MPa. Meanwhile, the highest value for impact toughness was 0.0986 J/mm² and the tensile stress value was 147.65 MPa. Macro photo analysis of the fracture cross section is categorized as splitting in multiple areas and the fracture cross section also shows debonding and fiber pull out after the fracture occurred.

Innovative Performance Evaluation Mechanism for Information Talent in Zhuhai

With the development of information technology, enterprises are facing new challenges and opportunities in talent introduction, training and management. Since the epidemic era, the economy of enterprises in the information field has been severely hit, among which small and medium-sized enterprises are the most seriously affected, and enterprises are facing new challenges and opportunities in talent introduction, training and management. The innovation ability and performance of information talents are crucial to the development of enterprises and society. The rapid development of information technology has put forward higher requirements for the demand for information talents, so it is very important to establish a scientific and effective innovation performance evaluation mechanism for cultivating and selecting excellent information talents. This paper summarizes the research results and experience in the innovation performance evaluation of information talents at home and abroad, analyzes the existing problems of the existing evaluation mechanism, and proposes the Innovative Performance Evaluation Mechanism for Information Talents (IPEMI-Talents), which includes improving the evaluation index system, innovative evaluation methods, The effectiveness of IPEMI-Talents was verified by strengthening the application of evaluation results and improving the fairness and transparency of the evaluation mechanism. The innovation performance evaluation mechanism for information talents is of great significance to improve the innovation ability and comprehensive quality of information talents.

Low-Cost Laser Security System with Intrusion Detection and Alert Mechanism

Security becomes necessary factor nowadays. The crime gang improves their technology to perform their operation along with the development of technology. Hence, technology of security should be more improved to protect the crime works. We have decided to make a security project. In this project we have used laser light for security purpose. We know laser light goes through long distance. When any person or object passes through the laser line, the security alarm will start to ring. There are two parts of the system. One is transmitter and other is receiver. The transmitter side consists of a pair of dry cell batteries and an on-off switch. The receiver side, there is a focusing LDR (Light Dependent Resistor) sensor to sense the laser ray. It is connected with the main driver circuit which has two parts. One is signal of discontinuity ray and other is alarm circuit. When anybody passes through the ray, the main circuit sense the discontinuity and turn on the alarm circuit. The alarm will be ringing until the off button is pressed. There are two methods of ringing. One is the duration of ringing depends on preset timer and another is reset manually. Any option can be set by DPDT switch. We have used second method for our project. Mirrors are attached at every corner to reflect the ray coming from the laser. The reflected ray coming from the last mirror will hit the LDR directly. The system has built with low cost and high performance. The power consumption of the system is very low.

Information Basis to Assess Russian Technological Security: Problems and Solutions

In this study we continue the research on the main indicators of Russia’s technological security assessment. In previous study we identified and outlined the main vulnerabilities in the information base for assessing technological development. In this article we will consider the ways to address the problems identified earlier in order to improve the information base and minimise threats to technological security. The methodological basis of the study comprises the normative documents defining the technological development of the Russian Federation, as well as the information base of its indicators. The authors analysed the main strategic documents to determine whether there is a methodological basis for calculating the indicators contained in them, the relevance of their target values and the consistency of planned values with the nature of their dynamics at the present time — to identify the possibility of achieving them. The authors assess the relationship between the level of depreciation of fixed assets in the regions of Russia and the degree of reconstruction and modernization of fixed assets. The article suggests directions of improvement of the information base of indicators, necessary for their improvement and updating.

Smart Medicine: The Role of Artificial Intelligence and Machine Learning in Next-Generation Healthcare Innovation

The paper focuses on big data and healthcare pharmaceuticals, which pose both great promise and challenge as they can contribute to well-being and deliver innovation and knowledge to next-generation healthcare products. This paper provides an overview of the benefits that machine learning and big data technology contribute to healthcare systems. Realities such as patient and healthcare professional demands, the number of diseases, insufficient drugs, regulations, legal and ethical guideline restrictions, modus operandi, and technology development take place in the healthcare sector. In addition, big data opportunities and challenges for healthcare companies, research, and healthcare infrastructure are discussed. Finally, a vision of health innovation through personalized medicines as well as smart medicine is presented as a step closer to patients through regulatory, legal, and ethical guidelines, applications, and opportunities that need to be regulated and resolved.

Formation of Information and Communication Culture in the Modern Digital Environment

The purpose of the research is to study the problems of formation of information and communication culture in the modern digital environment. The process of creation, use and distribution of knowledge in modern post-industrial society has significantly accelerated due to the active development of new information technologies.

External Hemipelvectomy in Soft Tissue Sarcomas: Are They Still Needed?

The development of new technologies, the interpretation of amputations as therapeutic failures by society, and the high morbidity and mortality associated with external hemipelvectomies make these mutilating surgical procedures appear obsolete. Herein, we review the scientific literature on the topic and present two cases of high-grade ulcerated soft tissue sarcomas in the gluteal region which show exceptional behavior and different outcomes. We performed a literature review of the PubMed databases from 2014 to April 2024. Additionally, we present two cases of soft tissue sarcomas in an 18-year-old female patient and in a 71-year-old female patient, which were treated with extended external hemipelvectomies with anterior flap, in combination with an abdominoperineal amputation and a colostomy in one case. After 4 years of follow-up, case 1 is living a relatively normal life. She had an uncomplicated pregnancy and a cesarean section delivery. Case 2 underwent emergency surgery for intestinal perforation and sepsis. She died 2.5 months following the surgery. External hemipelvectomy for soft tissue sarcoma treatment is a demanding surgical procedure with purpose in selected cases after review by multidisciplinary committees and with informed patient consent. This should be similarly individualized and extended to other pathologies when possible.

Assessment of the dietary amino acid profiles and the relative biomarkers for amino acid balance in the low-protein diets for broiler chickens

BackgroundResearch on low-protein-level diets has indicated that even though the profiles of essential amino acids (EAAs) follow the recommendation for a normal-protein-level diet, broilers fed low-protein diets failed to achieve productive performance compared to those fed normal diets. Therefore, it is imperative to reassess the optimum profile of EAAs in low-protein diets and establish a new ideal pattern for amino acid balance. Furthermore, identifying novel sensitive biomarkers for assessing amino acid balance will greatly facilitate the development of amino acid nutrition and application technology. In this study, 12 dietary treatments [Con(+), Con(-), L&A(-), L&A(+), M&C(-), M&C(+), BCAA (-), BCAA(+), Thr(-), Thr(+), Trp(-) and Trp(+)] were established by combining different EAAs including lysine and arginine, methionine and cysteine, branched-chain amino acid (BCAA), threonine, and tryptophan to observe the growth and development of the broiler chickens fed with low-protein-level diets. Based on the biochemical parameters and untargeted metabolomic analysis of animals subjected to different treatments, biomarkers associated with optimal and suboptimal amino acid balance were identified.ResultsGrowth performance, carcass characteristics, hepatic enzyme activity, serum biochemical parameters, and breast muscle mRNA expression differed significantly between male and female broilers under different dietary amino acid patterns. Male broilers exhibited higher sensitivity to the adjustment of amino acid patterns than female broilers. For the low-protein diet, the dietary concentrations of lysine, arginine, and tryptophan, but not of methionine, cystine, or threonine, needed to be increased. Therefore, further research on individual BCAA is required. For untargeted metabolomic analysis, Con(+) was selected as a normal diet (NP) while Con(-) represented a low-protein diet (LP). L&A(+) denotes a low-protein amino acid balanced diet (LPAB) and Thr(+) represents a low-protein amino acid imbalance diet (LPAI). The metabolites oxypurinol, pantothenic acid, and D-octopine in birds were significantly influenced by different dietary amino acid patterns.ConclusionAdjusting the amino acid profile of low-protein diets is required to achieve normal growth performance in broiler chickens fed normal-protein diets. Oxypurinol, pantothenic acid, and D-octopine have been identified as potentially sensitive biomarkers for assessing amino acid balance.

Recent advances in bioactive wound dressings.

Traditional wound dressings, despite their widespread use, face limitations, such as poor infection control and insufficient healing promotion. To address these challenges, bioactive materials have emerged as a promising solution in wound care. This comprehensive review explores the latest developments in wound healing technologies, starting with an overview of the importance of effective wound management, emphasising the need for advanced bioactive wound dressings. The review further explores various bioactive materials, defining their characteristics. It covers a wide range of natural and synthetic biopolymers used to develop bioactive wound dressings. Next, the paper discusses the incorporation of bioactive agents into wound dressings, including antimicrobial and anti-inflammatory agents, alongside regenerative components like growth factors, platelet-rich plasma, platelet-rich fibrin and stem cells. The review also covers fabrication techniques for bioactive wound dressings, highlighting techniques like electrospinning, which facilitated the production of nanofibre-based dressings with controlled porosity, the sol-gel method for developing bioactive glass-based dressings, and 3D bioprinting for customised, patient-specific dressings. The review concludes by addressing the challenges and future perspectives in bioactive wound dressing development. It includes regulatory considerations, clinical efficacy, patient care protocol integration and wound healing progress monitoring. Furthermore, the review considers emerging trends such as smart materials, sensors and personalised medicine approaches, offering insights into the future direction of bioactive wound dressing research.

Desain Pembelajaran Pendidikan Agama Islam di Era Digital

The development of digital technology has a significant impact on various aspects of life, including education. Islamic Religious Education (PAI) as one of the main components in shaping learners' character and morals must also adapt to technological advances to remain relevant and effective. This article discusses the design of innovative PAI learning in the digital era, identifying the main challenges faced, as well as implementing solutions to improve learners' engagement and understanding in learning. This study uses a descriptive method with a literature approach to explore the use of technology in PAI learning. The study found that digital-based PAI learning design requires careful planning, active involvement of teachers, and collaboration between school and family to achieve optimal results. The results of this study are expected to serve as a guide for PAI educators in presenting relevant, interactive, and inspiring learning in the digital era.

Spin-Electrochemistry of Transition Metal Oxides for Energy Storage: Concepts, Advances and Perspectives.

Developing high-capacity and cyclically stable transition metal (TM)-based electrode materials for energy storage devices, such as aqueous ion energy storage systems, is crucial for addressing the growing issue of energy scarcity. The spin state, or spin configuration of the d-electrons, plays a vital role in the electrochemical energy storage performance of these materials. However, there has been a lack of systematic descriptions regarding the role of spin configurations in electrochemical energy storage to date. This review aims to elucidate the advantages of controlling the spin states of metal centers to enhance energy storage performance and highlights recent progress in employing spin state regulation in electrochemical energy storage. Additionally, it covers the various characterization techniques used to determine spin states. Finally, we discuss the future prospects and challenges within this emerging field, with the aim of accelerating the development of spin-based electrochemical energy storage technologies. This review also seeks to provide clear and reliable directions for the design and preparation of novel energy storage materials.

Revealing Epitaxial Deposition in Alkali Metal Batteries.

Alkali metal batteries have high energy densities required to power future devices; however, uneven metal deposition is a critical barrier to achieving long lifespans. We have developed an elegant noncryogenic transmission electron microscopy method which has facilitated the first observations of epitaxial deposition in alkali metal batteries. Using this method, we have confirmed epitaxial interactions between (002) sodium crystallite planes and (01-11) planes in zinc current collectors. Such epitaxial interactions decrease nucleation energy barriers and promote even metal growth. This study offers fresh inspiration for the development of electron microscopy techniques tailored to electron-sensitive battery materials and sets a new agenda for the development of battery technologies.

Organic-Inorganic Hybrid Solid Composite Electrolytes for High Energy Density Lithium Batteries: Combining Manufacturability, Conductivity, and Stability.

The deployment of solid and quasi-solid electrolytes in lithium metal batteries is envisioned to push their energy densities to even higher levels, in addition to providing enhanced safety. This article discusses a set of hybrid solid composite electrolytes which combine functional properties with electrode compatibility and manufacturability. Their anodic stability >5V versus Li+/Li and compatibility with lithium metal stem from the incorporated ionic liquid electrolyte, whereas the organic-inorganic hybrid host structure boosts their conductivity up to 2.7mScm-1 at room temperature. The absence of strong acids enables compatibility with porous NMC811 electrodes. Liquid precursor solutions can be readily impregnated into porous electrodes, facilitating cell assembly. Electrolytes containing TFSI- as the only anion have a superior compatibility toward high-voltage positive electrode materials, whereas electrolytes containing both FSI- and TFSI- have a better compatibility toward lithium metal. Using the former as catholyte and the latter as anolyte, NMC811/Li coin cells retain up to 100% of their initial capacity after 100 cycles (0.2C, 3.0-4.4V vs Li+/Li). Because of their unprecedented combination of functional properties, electrode compatibility, and manufacturability, these hybrid solid composite electrolytes are potential candidates for the further development of lithium metal battery technology.

A Review of Drone Technology and Operation Processes in Agricultural Crop Spraying

Precision agriculture is revolutionizing the management and production of agricultural crops. The development of new technologies in agriculture, such as unmanned aerial vehicles (UAVs), has proven to be an efficient option for spraying various compounds on crops. UAVs significantly contribute to enhancing precision agriculture. This review aims to determine whether integrating advanced precision technologies into drones for crop spraying enhances spraying accuracy compared to drones utilizing standard spraying technologies. To achieve this, 100 articles published between 2019 and 2024 were selected and analyzed. The information was summarized into five main areas: (1) improved spraying with agricultural drone technologies, (2) operational parameters, (3) spraying applications of chemical and natural compounds with agricultural drones, (4) evaluations of control pest efficacy, and (5) considerable limitations. Finally, considerations are presented on the advantages of drone technology with artificial intelligence (AI); the practical effects of reducing pesticides, which, in some cases, have reached a reduction of 30% compared to the recommended dose; and future directions for improving precision agriculture. The use of drones in precision agriculture presents technical and scientific challenges for the maximization of spraying efficiency and the minimization of agrochemical use.

Green Synthesis of Urea from Carbon Dioxide and Ammonia Catalyzed by Ultraporous Permanently Polarized Hydroxyapatite.

The sustainable synthesis of urea from ammonia (NH3) and carbon dioxide (CO2) using ultraporous permanently polarized hydroxyapatite (upp-HAp) as catalyst has been explored as an advantageous CO2-revalorization strategy. As the simultaneous activation of N2 and CO2 (single-step) demands an increase of the reaction conditions, we have re-visited the industrial two-step Bazarov reaction. upp-HAp has been designed as a stable multifunctional catalyst capable of promoting both CO2 and NH3 adsorption for their subsequent C-N bond formation. Herein we report the synthesis of 1 mmol/gcat of urea with a selectivity of 97% under strictly mild conditions (95-120 ºC and 1 bar of CO2; without applying any electrical currents or UV irradiation) which represents an efficiency of ~2% and ~30% with respect to the NH3 and CO2 content, respectively. The study of the NH3 content, products adsorbed in the catalyst, presence of intermediates and temperature of the reaction allows unveiling the great potential of upp-HAp as a green catalyst for sustainable Bazarov reactions. Results suggest that the double-step approach could be more advantageous for both synthesizing urea and as a CO2-revalorization strategy, which in turn promotes the development of specific technologies for the independent synthesis of green NH3.