Latest Technology Research Articles

Criteria for granting access by an EU member state to a severely ill patient to an unauthorized medicine

The article focuses attention on the fact that a structural element of everyone's subjective legal right to medical care is the right to access to a medicinal product. It is emphasized that the Covid-19 pandemic, the increase in the spectrum of incurable diseases and the number of patients suffering from them, Russia's aggression against Ukraine, the consequences of which are an increase in the number of military personnel and civilians who need the use of medicinal products created using the latest technologies, but which (medicines) are still not allowed in the state, the integration of Ukraine with the EU became the factors that actualized the discussion of scientists and practitioners on the issue of the conditions that must be observed by the EU member state in order to apply the provisions of Article 1. 5 of Directive 2001/83/EC of the European Parliament and of the Council on the Community Code regarding medicinal products intended for human use, the exception is to provide an EU member state with access to a patient to a medicinal product not authorized by the competent authorities of such a member state and thereby fulfill its obligation to provide everyone's constitutional right to medical care. The conditions that must be observed by the EU member state in order to apply the provisions of Article 1. 5 of the Exclusion Directives - for an EU member state to provide a patient with access to a medicinal product that is not authorized by the competent authorities of such a member state: 1) the presence of a norm of national law that allows the supply of a medicinal product for which a permit was not granted; 2) the goal is to meet the special needs of a specific seriously ill patient (private interest) and ensure the protection of public health (public interest); 3) be due to the absence on the national market of any authorized medicinal product - the equivalent of an unauthorized medicinal product; 4) delivery is made in response to a bona fide order on one's own initiative; 5) supply is carried out according to the prescription in accordance with the specifications of the authorized medical worker; 6) an unauthorized medicinal product is prescribed for use by a specific patient under his direct personal responsibility. The signs of the patient's special needs are highlighted: 1) the specific situation of the patient's state of health and the course of his illness; 2) medical reasoning, which is justified; 3) the patient's need for a certain medicinal product. The grounds for an unregistered medicinal product to be prescribed by a doctor are: the doctor's therapeutic considerations; results of research, analyzes of the patient. In a situation where there are authorized medicinal products on the market of an EU member state - analogues of prohibited medicinal products - the import of unauthorized medicinal products can be qualified as an act of non-fulfillment by the EU member state of its obligations, provided for in Article 1. 6 Directives.

Preface: ISPRS Technical Commission I Midterm Symposium on “Intelligent Sensing and Remote Sensing Application”

Abstract. The ISPRS Technical Commission I Midterm Symposium on "Intelligent Sensing and Remote Sensing Application" was held in Changsha, China, during May 13–17, 2024, aiming to provide a platform to share the latest researches, advanced technologies and application experience, to discuss the future development and to seek international cooperation in various forms. The Symposium has received 229 full paper and abstract s, among them 45 double-blind peer-reviewed full papers were published in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information, and 165 papers accepted through abstract review were published in the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. These papers are mostly dedicated to topics of the 8 TC I Working Groups, 3 Inter-commission Working Groups, including Satellite Missions and Constellations for Remote Sensing, Mobile Mapping Technology, Multispectral, Hyperspectral and Thermal Sensors, LiDAR, Laser Altimetry and Sensor Integration, Microwave and InSAR Technology for Earth Observation, Orientation, Calibration and Validation of Sensors, Data Quality and Benchmark of Sensors, Multi-sensor Modelling and Cross-modality Fusion, Robotics for Mapping and Machine Intelligence, Autonomous Sensing Systems and their Applications, Digital Construction: Reality Capture, Automated Inspection and Integration to BIM, Point Cloud Generation and Processing, Artificial Intelligence Technology Related to Sensor Systems, Multi-sensor Remote Sensing Applications.. These papers presented the latest trends of sensor systems. The full papers and abstracts were reviewed by the members of the Symposium Scientific Committee comprised of Working Group officers and invited experts. We would like to take this opportunity to express our great gratitude to the Scientific Committee, Local Organizing Committee, Sponsors, Exhibitors and all those who have contributed to this successful Symposium. We also want to express our thanks to the authors for their excellent papers and presentations. Tang Xinming, Antonio Maria Garcia Tommaselli, Zhang Tao, Xie JunfengISPRS Technical Commission I on Sensor SystemsMay 2024, Changsha, China

Conservation of Concrete of Cultural Relevance in Friezes and Murals by Picasso and Nesjar in Barcelona: Preliminary Studies

ABSTRACT This paper describes the methodology used for the study and diagnosis of the sgraffitos in concrete by Pablo Picasso and Karl Nesjar. In 1958, architect Xavier Busquets won a competition to construct the new headquarters of the Architects’ Association of Catalonia in Barcelona (Spain), right in the heart of the city of Barcelona. The project included five elements of white concrete with sgraffitos created by sandblasting. These included three friezes as a base of the façade and an envelope for the function room, and two murals inside the building as a covering of the “foyer”. Recently, it was determined that a diagnostic study of the state of conservation of these elements was needed as a step prior to their restoration. Based on studies undertaken from various disciplinary perspectives using the latest technologies, a methodological proposal has been defined for the full study and future intervention in these architectural elements, which are also works of art. The methodology could serve to address new challenges related to diagnosis and intervention in heritage elements made from concrete. Consequently, it will be increasingly important to establish criteria and procedures that enable damage or deterioration to be identified to determine future interventions that respect the material and the work of art.

Optimalisasi Isi Situs Informasi Magister Komunikasi Penyiaran Islam Universitas Islam Negeri Sumatera Utara Medan

This research aims to determine the strengthening of the content of the Islamic Broadcasting Communication Master's Study website, North Sumatra State Islamic University, Medan. This research uses a descriptive qualitative approach. Data sources for this research include primary data in the form of interviews, observations, and secondary data in the form of documentary studies through literature reviews. Data collection was carried out through structured interviews, observation, and documentation. This research data analysis was carried out by reducing the data, presenting it, and verifying the data. The validity of the data was tested through triangulation techniques. The results of this research show that the content on the website of the Islamic Broadcasting Communication Master's Study Program at UIN North Sumatra Medan is very important to support a targeted and efficient user experience, as well as to promote the study program through marketing and branding strategies. Strengthening content faces obstacles such as limited resources, technological challenges, and lack of involvement of lecturers and students. To overcome this, strategies such as leveraging open source, ongoing training, participation incentives, systematic evaluation, automatic content updates, and accessibility optimization are needed. By applying multimedia theory and the latest technology, study programs can increase attractiveness, provide relevant information, and build a strong reputation at national and international levels.

Empowering Women Employees’ Safety through Artificial Intelligence – An Empirical Study

Now a day it is very common human collaboration with machine. Artificial Intelligence, Internet of Things and Business Analytics are the important terms in technology. Top business companies through the world have started concentrating on Artificial Intelligence and machines. In present era, machines have started to act like human. Artificial intelligence has been adopted in various sectors since this technology, improves productivity, decreases costs, and quickly resolves challenging issues. It has been predicted that one of the most promising technologies of the future will be artificial intelligence. As one of the latest modern technologies, AI is influencing developments throughout a number of industries and societal safety norms. In this paper has an attempt to know women employee safety level through Artificial Intelligence and to identify the factors which are influencing for women empowerment safety through AI. An online survey was conducted and circulated through emails to collected the data, to study the status and level of empowerment among women safety through Artificial Intelligence. The status of women empowerment was evaluated using questionnaire. The information like age, educational qualification, occupation, marital status, work experience, city of residence was collected and analysed with five-point Likert scale. The questionnaire was administrated and circulated on a sample of 120 women associated with various email groups. The questionnaire was response rate was 42%, as 50 women respondents retuned fully filled, usable questionnaire. Data collected for this study were evaluated using Multiple Regression and ANOVA in SPSS statistical package. Empowering women employees’ safety through AI involved a combination of technology, regulations, policies and a supportive working environment. It is very essential to implement AI systems that respect privacy and maintain ethical standards while enhancing safety

TECHNOLOGIES FOR ASSESSING THE OPERATIONAL QUALITY OF INDUSTRIAL BUILDINGS AS A CONSEQUENCE OF PARTIAL MILITARY DESTRUCTION

Purpose. Research conducted in the direction of operational quality proves that the life cycle of construction products can also be significantly increased due to the use of the latest technologies of a complex technical approach. The complex technical approach covers the principles of using the latest technologies, which compensate for the functional costs of the object at the stage of operation. As part of the latest technologies, the modern world requires the presence of developments that effectively save resources and at the same time ensure the required level of security in various crisis situations, including during a state of war. The main purpose of implementing this approach is to establish the reasons for the loss of reliability and resource when accounting for changes in the conditions of the external and internal environment. Methodology. Methods and techniques for diagnosing the reliability and operational quality of construction objects make it possible to implement assessment procedures at various stages of the life cycle, including during the current period, in previous design cycles (prototype search stages), as well as comparative and analytical comparison with analogues . The results of the implementation make it possible to identify the promising direction of normalization of construction projects, to substantiate and develop technologies for the formation of its operational quality. Findings. The situation of the physical state of the industrial building due to military destruction is analyzed, after which the search for optimization technologies in the formation of reliability and operational quality of construction objects, including for the effective implementation of investment and construction projects, is substantiated and proposed. Originality. Adaptation approaches of timely response in emergency conditions, in order to comply with the planned standards of operational quality, are substantiated, implemented on the practical example of the implementation of the technical report of the production and mechanical building No. 132, located in the city of Zaporizhzhia, SE "Ivchenko-Progress" 63T-1286-OB – TK after military destruction. Practical value. Adaptation approaches of timely response in emergency conditions, in order to comply with the planned standards of operational quality, are substantiated, implemented on the practical example of the implementation of the technical report of the production and mechanical building No. 132, located in the city of Zaporizhzhia, SE "Ivchenko-Progress" 63T-1286-OB – TK after military destruction. Conclusions. The results of scientific and practical research made it possible to reveal the actual principles of management technologies, evaluation and methods of improving operational quality at all stages of the life cycle of a construction object, taking into account risky and dangerous situations during military operations. This technical report was prepared on the basis of the performed visual and instrumental research of construction structures of the industrial building. The decision of the scientific group of experts established that the operation of the object under study should be stopped until its operational suitability is restored in accordance with the proposed recommendations in accordance with the project documentation. The scientific and practical significance of the study justifies the need for further application of the latest technologies of the complex technical approach in the formation of operational quality for the effective implementation of investment and construction projects.

Preface: ISPRS Technical Commission I Midterm Symposium on “Intelligent Sensing and Remote Sensing Application”

Abstract. The ISPRS Technical Commission I Midterm Symposium on "Intelligent Sensing and Remote Sensing Application" was held in Changsha, China, during May 13–17, 2024, aiming to provide a platform to share the latest researches, advanced technologies and application experience, to discuss the future development and to seek international cooperation in various forms. The Symposium has received 229 full paper and abstract s, among them 45 double-blind peer-reviewed full papers were published in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information, and 165 papers accepted through abstract review were published in the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. These papers are mostly dedicated to topics of the 8 TC I Working Groups, 3 Inter-commission Working Groups, including Satellite Missions and Constellations for Remote Sensing, Mobile Mapping Technology, Multispectral, Hyperspectral and Thermal Sensors, LiDAR, Laser Altimetry and Sensor Integration, Microwave and InSAR Technology for Earth Observation, Orientation, Calibration and Validation of Sensors, Data Quality and Benchmark of Sensors, Multi-sensor Modelling and Cross-modality Fusion, Robotics for Mapping and Machine Intelligence, Autonomous Sensing Systems and their Applications, Digital Construction: Reality Capture, Automated Inspection and Integration to BIM, Point Cloud Generation and Processing, Artificial Intelligence Technology Related to Sensor Systems, Multi-sensor Remote Sensing Applications.. These papers presented the latest trends of sensor systems. The full papers and abstracts were reviewed by the members of the Symposium Scientific Committee comprised of Working Group officers and invited experts. We would like to take this opportunity to express our great gratitude to the Scientific Committee, Local Organizing Committee, Sponsors, Exhibitors and all those who have contributed to this successful Symposium. We also want to express our thanks to the authors for their excellent papers and presentations. Tang Xinming, Antonio Maria Garcia Tommaselli, Zhang Tao, Xie JunfengISPRS Technical Commission I on Sensor SystemsMay 2024, Changsha, China

Examination of factors to improve the performance of dielectric elastomer transducers and their applications

Abstract Actuators, sensors, and generators using dielectric elastomers are inexpensive and light, and can be easily to structured, multilayer-able, and very efficient. They are　ideal for an eco-energy society. In the latest technology, an only 0.15 g dielectric elastomer can lift an 8 kg weight by 1 mm or more in just 88 ms. the near future, it can be applied to efficient drive systems of humanoid robots, systems that assist in driving the motors of electric vehicles, and various industrial machinery. It is highly likely that very thin and miniaturized dielectric elastomer sensors would also support the driving of motors. In addition, dielectric elastomer generators, which can be applied to various external forces, have attracted significant attention as a renewable energy source. In this paper, we discuss the R&D status of dielectric elastomers using mainly commercially available elastomer materials, give examples of issues, and discuss and their potential applications, and usefulness.
The excellent performance of the dielectric elastomers mentioned above is largely due to their carbon-based electrodes. In this study, various carbon materials (including carbon grease, carbon black, MWCNT, and SWCNT) and their dielectric elastomer performances were compared.

Chemoreactomic analysis of acyzole in comparison with zinc derivatives of nonsteroidal anti-inflammatory drugs

Background. Nonsteroidal anti-inflammatory drugs (NSAIDs) are characterized by ulcerogenic effects and used for effective and safe pharmacotherapy of inflammation and pain. The zinc-containing drug acyzole is a promising anti-inflammatory drug that potentially does not have this drawback. Objective: to conduct chemoreactomic modeling of the pharmacological effects of acyzole and zinc derivatives of well-known NSAIDs (diclofenac, nimesulide, ketorolac).Material and methods. The analysis of the pharmacological capabilities of NSAIDs was based on a chemoinformatic approach, i.e. comparing the chemical structure of the studied molecules with the structures of millions of other molecules with established molecular pharmacological properties. The analysis procedure was based on the latest machine learning technologies developed in the theory of topological and metric analysis of feature descriptions.Results. It was shown that acyzole might have an anti-inflammatory effect due to its impact on the activity of cytokines and, partly, on the metabolism of prostaglandins and leuktrienes. The central effects of acyzole are comparable to those of zinc-NSAIDs. The analgesic effect of acyzole may be associated with kinin receptors inhibition, and weak antihistamine and antinociceptin effects. Acizol may also exhibit a gastroprotective effect. It was established that acyzole, to a lesser extent than the reference molecules, negatively affected the metabolism of vitamins and microelements.Conclusion. Chemoreactomic profiling of acyzole indicates prospects for its use as an anti-inflammatory drug.

Enhancing Productivity and Profitability of Mash through Front Line Demonstration

The study was carried out during kharif season of 2020 and 2021 in 7 villages across 2 blocks (Bhalla and Bhaderwah) of Doda district. In all 100 frontline demonstrations on Mash crop were carried out in anarea of 20.0 ha with the active participations of farmers with the objective to demonstrate the latest technology of Mash production potential, technological gap, extension gap, technology index and economic benefit of improved technologies. Cluster frontline demonstration is one of the important tools for transfer of technology and this program is being implemented through Krishi Vigyan Kendra’s of country. CFLD’s are organized on improved production technology at farmer’s field. This process not only helps in demonstrating the ways and means ofincreasing productivity but helps in obtaining feed back for further refinement of the production technology. The results revealed that CFLD recorded higher yield as compared to farmer’s practices over the two years of study. The improved technologies recorded average yield of 5.05 q/ha which was 34.71% higher than the obtained with farmer’s practices of 3.81q/ha. In spite of increase in yield of Mash, technological gap, extension gap and technology index existed which was 4.95 q/ha, 1.23 q/ha and 49.5%, respectively.

СИСТЕМНИЙ АНАЛІЗ ОСВІТНІХ ІНСТРУМЕНТІВ НА ОСНОВІ ШТУЧНОГО ІНТЕЛЕКТУ ДЛЯ ЛЮДЕЙ З ІНВАЛІДНІСТЮ: ДОСВІД ІНДІЇ

Artificial Intelligence (AI) plays a multifaceted role in educating impaired people and has significantly enhanced the learning experience of disabled students. AI is emerging as an influential tool that enhances accessibility, personalizes the learning process, and promotes inclusivity in educating students with disabilities. For visually disabled students, AI-powered braille devices help the children learn and rehearse braille independently. AI can be incorporated into mobile applications and learning platforms invented to help dyslexic students in India. These apps provide many features to make learning fun for learners with disabilities. The Notebook platform utilizes Machine Learning algorithms that provide students with a personalized learning experience. AACDD makes the process of learning easy for children suffering from neuro-developmental disorders. Augmenta11y app utilizes AR (Augmented Reality) to display the content in a form that dyslexic children can easily understand. DYSXA app provides many features for making learning fun for learners with disabilities. Using automation and the latest technologies, Stamurai provides speech therapy to such people at a meager cost. The authors have analyzed and discussed more AI tools developed to help disabled students with education. With the use of these tools, children with disabilities can communicate better, receive an inclusive education, be more accessible, be mentally prepared, and lead independent lives. These tools have shown promising potential in supporting children with disability. It is observed that AI holds much potential to strengthen the learning experiences of disabled students by providing them with personalized support and alleviating the difficulties they face in reading, writing, and learning a language with accuracy.

The rise in popularity of central bank digital currencies. A systematic review

Central bank digital currencies (CBDCs) have been growing in popularity since 2018, as worldwide countries explore their impact and implementation options. This article analyzes the state of research around central bank digital currencies and the evolving landscape of CBDCs, and explores emerging areas of research and trends by using the PRISMA method and VOSviewer, with the goal of showing the main opportunities and challenges related to them. AMSTAR, DistillerSR, Eppi-Reviewer, ROBIS, and SRDR were the screening and quality evaluation tools employed for study eligibility criteria, design screening and content selection, text analysis data extraction, methodological quality predictors, and reliable and reproducible evidence assessment. A total of 1024 articles on central bank digital currencies were identified in Scopus and the Web of Science, out of which 747 have been included in the review (documents which were not in English language and not categorized as journal articles were excluded). Through an analysis of the relevant literature, the study categorizes CBDC research into positive, negative and neutral research, with a particular focus on sustainability issues, and conducts a keyword co-occurrence analysis using VOSviewer, following a narrowing down of the relevant articles to be included in the study by applying the PRISMA framework. This generates an overall view for experts and researchers who can use the main analyzed features of CBDCs and adapt them accordingly, taking into account relevant macroeconomic characteristics. The study highlights the need to continue interdisciplinary research, by adapting the research and CBDC characteristics to keep up with the latest technologies and with the shift towards green finance, and explores the elaborate relationship between finance, technology and sustainability.

Driver fatigue detection method based on facial features using deep learning

Fatigue driving can result in delayed driver reactions and lack of concentration, increasing the risk of traffic accidents. Therefore, finding effective fatigue detection methods is crucial for accident prevention and ensuring public safety. Traditional driver fatigue detection methods based on facial features are limited by their reliance on manually designed features and classifiers, leading to low accuracy, slow detection speed, and inefficient performance. Hence, methods based on deep learning have gradually become a trend in fatigue-driving detection research. This paper focuses on driver fatigue detection methods based on facial features using deep learning. In this study, we analyze numerous research outcomes on how to accurately extract, analyze, and integrate various facial features, such as eye features, mouth features, facial expressions, and head postures, to precisely determine the driver's fatigue state. Then, we compare the latest deep learning-based technologies. This paper provides an information-rich repository to help researchers select more promising designs, that can drive the widespread development of fatigue-driving detection technologies.

APPLICATION OF ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION INSTITUTIONS: FOREIGN EXPERIENCE

The purpose of this article is to study the application of artificial intelligence in higher education institutions in foreign countries. The article provides an overview of various tools for using artificial intelligence in the educational environment, reveals examples of successful implementation of digital technologies in higher education institutions, and outlines the shortcomings that should be taken into account when introducing artificial intelligence into educational practice. Methodology. The study used a set of complementary methods based on the principles of general scientific methodology: theoretical methods of analysis, synthesis and generalisation of works corresponding to the stated topic. Theoretical analysis allowed the identification of theoretical concepts, models and technologies used to support the educational process. The method of synthesis enabled the information obtained to be put into a systematic and comprehensible form. By synthesising different sources and data, a general idea of how artificial intelligence can be used in modern education was formed. The method of synthesis helped to build a system of existing knowledge and experience in this area and identify new areas of research. Results. The creation of individualised experiences using artificial intelligence and machine learning has been shown to tailor learning to the individual characteristics of the student, increasing the effectiveness of training. Personalised learning technologies are used to improve the learning process through data mining and the provision of personalised information. Personalised learning can also use methods such as games and virtual activities to make the learning process more interesting and engaging. Disadvantages include insufficient technological development, lack of personal contact, limited AI in the curriculum, limited creativity and flexibility of systems, algorithmic discrimination and loss of skills. Despite these shortcomings, it is noted that the use of intelligent learning systems and adaptive technologies allows for the personalisation of learning based on the individual characteristics of each student, which contributes to more effective training. It is important to find an optimal balance between the traditional approach to learning and the use of the latest learning technologies that will contribute to successful and productive learning. Practical implications include the importance of personalising learning with the help of intelligent systems, the need to find a balance between traditional and modern methods, taking into account the shortcomings of technology implementation, continuing research and developing partnerships for the successful implementation of artificial intelligence in educational practice. Value/Оriginality. The paper proposes specific methods and examples of artificial intelligence application in education, analyses the shortcomings of this process and provides practical recommendations for its further improvement.

Rancang Bangun Company Profile Berbasis Web Menggunakan Metode Waterfall (Studi Kasus : APM Frozen Food)

This research explores the development of a company profile website with a holistic approach using Bootstrap, CodeIgniter 3, Apache, and MySQL as the technological foundation. The main focus is to optimally integrate the frontend and backend. The research methodology includes in-depth analysis of requirements, responsive design, implementation with CodeIgniter 3 for backend logic, utilization of Apache as a server, and MySQL for efficient database management. Active observations, interviews, and thorough documentation resulted in concrete solutions for this project. The results include not only successful implementation of the latest technology but also strengthened website performance and responsibility. This research has a positive impact by increasing the effectiveness of company website development and creating an integrated and optimally responsive environment for user needs.

Generative AI Project Assistant

Our cutting-edge Generative AI project assistant serves as a versatile tool aiding users in generating data across various applications. Harnessing the latest technologies such as Langchain, OpenAI, and Google Colab Face, it ensures superior performance. We're elevating its capabilities by integrating voice assistance, enabling seamless interaction in both text and voice formats. This endeavor involves leveraging a suite of tools tailored for the purpose. The Generative AI Project Assistant represents a groundbreaking approach to project management, integrating generative AI to streamline processes. By employing sophisticated algorithms, it automates tasks, fosters collaboration, and provides valuable insights. Utilizing natural language processing and machine learning, it delivers intelligent suggestions, anticipates challenges, and facilitates the creation of customized solutions. In essence, this assistant redefines project management, offering an intuitive, adaptable, and efficient platform for teams to achieve their objectives with Chat GPT's prowess at its core.

The data sharing conundrum: revisiting established theory in the age of digital transformation

Purpose This study aims to analyze the factors that drive or prevent interorganizational data sharing in the context of digital transformation (DT). Data sharing appears as a precondition for companies to capture emerging opportunities in supply chain management and for product-related servitization; however, there are ongoing concerns, and data are often perceived as the “new oil.” It is thus important to gain a better understanding of the determinants of firms’ decisions. Design/methodology/approach The authors develop an embedded case study analysis involving 16 firms within an extended supply network in the automotive industry. The authors focus on the peculiarities of the new context, as opposed to elements highlighted by research prior to the advent of the latest technologies. Abductive reasoning is applied to the theoretical foundations of the resource-based view, resource dependence theory and the complex adaptive systems perspective. Findings Data sharing is largely underpinned by factors identified prior to DT, such as data specificity, dependence dynamics and protection mechanisms and the dynamism of the business context. DT, however, can influence the extent of data sharing. New factors concern complementarities whenever data are pooled from different sources and digital platforms, as well as different forms of data ownership protection. Originality/value This study stresses that data sharing in the context of DT can be explained through established theoretical lenses, providing the integration of elements accounting for new technological opportunities.

EXAMINE THE FACTORS INFLUENCING THE FIRM PERFORMANCE OF LOCAL TRAVEL COMPANIES IN MALAYSIA

Malaysia's travel sector is experiencing rapid growth after the COVID-19 pandemic and both domestic and international service providers are significant competitors in the current thriving market. This study investigates the elements that influence the firm performance of Malaysian local travel service providers. This study emphasizes impact of innovation, technology adoption, and core competency to the firm performance. Despite the considerable volume of scholarly research addressing this subject, the distinct and cumulative effects of technology, innovation, and core competency have not been sufficiently explored within the context of Malaysia. To fill this gap, this study rigorously explored technology adoption, innovation, and core competence, and how those factors influence to firm performance. This research applied a quantitative method, with data gathered via an online self-administrative survey. Survey questions were sent to 915 travel companies, and 219 responded. It was found that independent variables, innovation, technology adoption, and core competence have a positive effect on the performance of local travel enterprises. These critical success elements propel local travel companies to the top of the market, where they compete with other top international travel companies in providing online or offline services to customers. Thus, Local travel companies must set up the culture to generate innovative ideas, acquire latest technology, and continue training and upskilling program to achieve desire organization performance. The findings of this study will contribute to the Malaysian travel businesses, policymakers, and stakeholders involved in the tourist industry.

A State of the Art on Cryogenic Cooling and Its Applications in the Machining of Difficult-to-Machine Alloys.

Cryogenic cooling has gathered significant attention in the manufacturing industry. There are inherent difficulties in machining materials that are difficult to machine because of high levels of hardness, abrasiveness, and heat conductivity. Increased tool wear, diminished surface finish, and reduced machining efficiency are the results of these problems, and traditional cooling solutions are insufficient to resolve them. The application of cryogenic cooling involves the use of extremely low temperatures, typically achieved by employing liquid nitrogen or other cryogenic fluids. This study reviews the current state of cryogenic cooling technology and its use in machining difficult-to-machine materials. In addition, this review encompasses a thorough examination of cryogenic cooling techniques, including their principles, mechanisms, and effects on machining performance. The recent literature was used to discuss difficult-to-machine materials and their machining properties. The role of cryogenic cooling in machining difficult materials was then discussed. Finally, the latest technologies and methods involved in cryogenic cooling condition were discussed in detail. The outcome demonstrated that the exploration of cryogenic cooling methods has gained prominence in the manufacturing industry due to their potential to address challenges associated with the machining of exotic alloys.

Acetabular Fracture Outcomes and Complications: An International Comparison

Introduction While there have been many technological advances in the treatment of acetabular fractures since the landmark article by Judet and Letournel, the effectiveness of many of these advances have not been definitively determined. Comparing patient outcomes between two countries with differing amounts of technological resources may identify the efficacy of such resources.   Methods This study retrospectively compared 489 patients (373 US, 116 Romania) who underwent open reduction and internal fixation (ORIF) for acetabular fracture(s) in a Romanian trauma center and a United States (US) trauma center between February 2011 and August 2018.   Results US patients had a higher rate for the following comorbidities: diabetes (p=.0268), obesity (p<.0001), and hypertension (p<.0001). US patients had a significantly shorter pre-op delay (p<.0001). Matta’s criteria for initial quality of reduction did not vary significantly between countries (p=.1101). No significant difference was found in rates of DVT (p=.0722), postoperative infections (p=.2819), sciatic nerve lesions (p=.9999), or loss of reduction (p=.9999). US patients had significantly higher Brooker criteria scores for heterotopic ossification (p<.0001).   Conclusions There were no significant differences in outcomes between US and Romanian patients even though US patients received treatment using the latest technology while Romanian patients were treated using substantially fewer resources. Given that technological advances in surgical technique come at a considerable price, it makes sense to build upon this study to gain a more precise understanding of how these advances improve outcomes for patients, and whether or not they are worth the added cost.