bluuebunny/crossref_metadata_2025 huggingface dataset:
Reduction of Water Consumption in Leather Processing and an Investigation of the Leather Quality
Authors:   Institute of Leather Engineering and Technology, University of Dhaka, Dhaka-1209, Bangladesh, Ferdous Sumaya , Mottalib Md. Abdul ,   Institute of Leather Engineering and Technology, University of Dhaka, Dhaka-1209, Bangladesh, Goni Md. Abdul ,   Department of Biological and Physical Sciences, South Carolina State University, Orangeburg, SC 29117, USA, Abdulla-Al-Mamun Md. ,   Institute of Leather Engineering and Technology, University of Dhaka, Dhaka-1209, Bangladesh, Sheikh Md. Aftab Ali ,   Bangladesh Council of Scientific and Industrial Research, Dhaka-1205, Bangladesh
Published: April 2023

Extensive use of water in different industries particularly leather tanning has drawn attention in recent years. In this research, a new approach has been developed to reduce water consumption in the tanning industry. Four different experiments were carried out on raw goat skins by using various quantities of water which were much lower than the influx of water consumed in the conventional leather tanning processes. One control experiment was conducted in which the volume of water was used as 100% of the conventional method (37 m3/ton) in every step of leather processing. The experiments showed a reduction of 15%, 25%, 35%, and 50% in water consumption respectively from the control method used in the processing of raw leathers. The resulting goat leathers were examined with various physical tests such as tensile strength, percentage of elongation, stitch, tongue tear strengths etc. The results showed the presence of all significant qualities. The processed leathers were thermally stable and exhibited percentages of elongations in the range of 40.94% to 50.85% which were considerably higher than those (38.1%) observed with the conventional method. Scanning Electron Microscopy (SEM), Thermal Gravimetric Analysis (TGA), and Fourier transform infrared (FT-IR) studies confirmed identical morphological and structural characteristics of all processed leathers. These methods of leather processing are environmentally friendly and suitable for large-scale industrial production. Efficient reduction of water use in raw leather processing may significantly decrease the toxic liquid waste and tannery pollution.
FINANCIAL MARKET AS A BASIS FOR EVALUATING TRANSFORMATION PROCESSES AND FORECASTING ITS EFFICIENCY THROUGH PERFORMANCE: CLASSIFICATION AND FORMS
Authors:   Mukachevo State University, MYKHALCHYNETS Halyna
Published: April 2023

The financial market model should be formed taking into account a clearly defined subject area and its objects, which is ensured by their classification and adequate representation in form. The described processes are significant since the type and forms of expression of the financial market form the basis for launching evaluation methods and forecasting its effectiveness through performance. The financial market classification consists of supplementing its model with the location and organization of its interrelated elements. It should be noted that for this purpose, systems for dividing objects into groups according to predetermined characteristics should be applied, in particular: 1) division of the financial market according to information about it (into groups, subgroups according to a particular characteristic); 2) allocation of logical connections between groups and subgroups of the financial market. These object distribution systems are based on the identification/construction of structures forming a combinatorial financial market model. The purpose of the article is the process of research the classification and forms of presentation of the financial market as a basis for evaluating transformational processes and forecasting their effectiveness through effectiveness. The process of researching the classification and forms of presentation of the financial market as a basis for evaluating transformational processes and forecasting its effectiveness through effectiveness is revealed. The main approaches to the classification of the financial market are characterized (by generalized, syncretic, and LOD approaches). The structuring of the financial need based on the convergence of economic relations with the transfer of ownership and the specifics of the legislative regulation of this process is essential and provides the presentation of information in terms of such components as currency market, deposit market, credit market; Securities Market; derivatives market; real estate market. The outlined approach to structuring the financial market forms a conceptual understanding of its model as a system S, which reflects the basic structures necessary to determine the objects of assessment and directions of performance forecasting through performance. To ensure the practical applicability of the conceptual model, modeling procedures, methods and algorithms must be systematically characterized.
THE IMPACT OF RISK AND PROFITABILITY ON INVESTMENT BANKING MANAGEMENTM BRIEFCASE
Authors:   Western Ukrainian National University, SENIV Bohdan , KOROL Volodymyr ,   Ivano-Frankivsk Educational and Scientific Institute of the West Ukrainian National University
Published: April 2023

Deeply penetrating all spheres of the economy, banking institutions exert an active influence on economic growth and social development of the country. The intensity of investment processes, the dynamics of the development of production of goods and the provision of services largely depend on the ability of banks to rationally manage risks. If in economically developed countries the theory and practice of the investment business of banks is well developed, then in relation to the conditions of the domestic economy, it undergoes a process of adaptation, which is caused by a number of characteristic differences. In particular, there are: unstable economic and political situations in the country; critical financial condition of a significant number of industrial enterprises; danger of significant inflationary processes; imperfection of the legal framework; lack of developed stock market infrastructure. Banking difficulties can be overcome only based on a systematic approach to bank management in general and risk management in particular. The theoretical and methodological foundations of risk management in banking are considered. The role of investment risks in the general system of banking risks is determined. The essence of the bank’s investment portfolio and the impact of risks on it are characterized. An assessment of the risks of the implementation of the investment project was carried out. The influence of risk and profitability on the management of bank portfolio investment is determined. The directions for improving the management of the bank’s investment portfolio, taking into account risk, are substantiated.
DEVELOPMENT OF TRADE IN DIGITAL GOODS IN THE CONTEXT OF RECOVERY ECONOMY OF UKRAINE AND ACHIEVEMENT OF SUSTAINABLE DEVELOPMENT GOALS
Authors: KUPALOVA Halyna , GONCHARENKO Nataliia , EVHENII Oleshko ,   Taras Shevchenko National University of Kyiv
Published: April 2023

The role and necessity of the development of digital trade is increasing in the condition of extremely difficult conditions of conducting military operations, the destruction of infrastructure. The purpose of the conducted research was to formulate the main measures to intensify the development of trade in digital goods, which should be implemented at different levels of management to restore the economy of Ukraine on the basis of sustainable development. The article systematizes and summarizes the developments of domestic and foreign scientists regarding the theoretical and methodological foundations of intellectual property, trade in digital goods, features of their accounting and taxation, organization, and marketing. The necessity of determining the priority directions of digital trade development, taking into account the modern needs of economic recovery, is substantiated. Attention is focused on the differences between the concepts of digital goods and products, although in scientific publications and practical recommendations they are often equated. The level of digital development in Ukraine compared to other countries of the world is shown. The directions for revitalizing the trade in digital goods through the improvement of digital distribution and ensuring the right of ownership are outlined. The main forms and properties, the differences between trade in digital goods and traditional trade, which must be taken into account in the formation of trade policy, are revealed. Barriers inhibiting the development of trade in digital services in Ukraine have been identified. The main measures to intensify the development of trade in digital goods at the national level of management and at the level of business entities are proposed to restore the economy of Ukraine and achieve the goals of sustainable development. Their implementation will contribute to the acceleration of integration into the Single Digital Space of the EU, the expansion of access to online markets, the formation of a digital environment in Ukraine in accordance with European requirements and standards.
ECOLOGICAL AND ECONOMIC SECURITY OF THE AGRICULTURAL SECTOR
Authors:   Kherson Economic Legal Institute, PІSHСHЕNKО Oleg
Published: April 2023

The article examines the ecological and economic security of the agricultural sector. Achieving global food security and food security requires a global approach to food systems. It was found that there is a significant relationship between agriculture and the environment. Sustainable agricultural development ensures food quality and, in tandem, prevents natural disasters such as droughts. However, to meet the food needs of a growing population, poor quality laws and unacceptable agricultural practices arise, which in turn leads to environmental degradation. To meet the food needs of the world’s population, the agricultural sector has been subjected to huge loads and created emissions. Sustainable agriculture helps increase food production while reducing the use of pesticides. It has also been observed that agricultural production sometimes accumulates carbon, thus polluting the environment. It has been shown that there is a significant link between economic growth and environmental pollution. On the other hand, pollution reduction and environmental balance are not sufficiently prioritized in developing and underdeveloped countries
MONITORING ACCORDING TO ESG PRINCIPLES AND ITS IMPACT ON THE COMPETITIVENESS OF BUSINESS ENTITIES
Authors:   National University “Zaporizhzhia polytechnic”, LIVOSHKO Tetiana
Published: April 2023

The article defines that in recent years, the realization that certain corporate risks, such as environmental, social practices and corporate governance, can significantly affect the value of the enterprise, its competitiveness and development strategy in the long run. Today, the world is united to solve global problems of the present, which can be solved through the introduction of the latest technologies and a progressive approach to business assessment. The authors emphasize the importance of ESG-investing in the process of transformation into a low carbon economy and its impact on the competitiveness of enterprises. Arsenal of effective measures for the formation of a regulatory environment has been identified. ESG-Investment, the introduction of which in domestic practice will allow to make effective and optimal management decisions. The article substantiates that the practice of external independent evaluation of ESG-face based on open sources is becoming more and more popular in Ukraine. Changing the values of human life in recent years and the Covid-19 pandemic showed the need for a strategic approach to environmental and social risks. It is determined that investors are increasingly insisting on companies with ESG criteria companies, international politicians and procedures. It is substantiated that ESG strategy is a very important tool for sustainable development that allows the enterprises of the DTEK group at the highest level to integrate environmental, social and management standards. The article proves that during the restoration of the country after Russia’s aggression, almost all investments will come to Ukraine on the basis of ESG, so the drivers of sustainable development increase. Therefore, Ukrainian companies today, in these difficult times, need help in understanding and implementing these principles.
PROBLEMS AND PROSPECTS OF RECOVERY OF UKRAINE DURING AND AFTER THE END OF THE RUSSIAN-UKRAINIAN WAR
Authors: PANKIV Natalia , CHERNYSHOVA Anastasiya ,   Lviv Polytechnic National University
Published: April 2023

The work examines the problems and prospects of restoring Ukraine during and after the end of the Russian-Ukrainian war. Because Russia’s full-scale invasion of Ukraine, which began more than eight months ago, has resulted in large-scale human casualties, massive population displacement, and significant infrastructure damage. The impact on economic activity was also enormous: real Gross Domestic Product (GDP) fell sharply, inflation soared, trade was severely disrupted, and the budget deficit rose to unprecedented levels. More than 7 million Ukrainians – about a fifth of the population – have left the country or become internally displaced, which puts pressure on the social protection system. The report said that logistical problems related to the war continue to strain the economy, mainly related to the operation of ports, transport networks, and energy infrastructure. The war also caused an imbalance in the foreign exchange market. Therefore, the article analyzes the main events and development of the economy during martial law in the country, identifies problems, and substantiates the optimal conditions for the future development of Ukrainian tourism, which ranks third among all economic sectors in terms of income in the country’s economy. The essence and main influence of military operations on the development of international tourism in the world are substantiated. The development of the Russian-Ukrainian war, the main events, and the territorial features of the development are analyzed. The countries that are allies of Ukraine are highlighted, and the international aid and support of world powers that Ukraine receives in 2022 are analyzed. Ukrainian and world tourism during the war is characterized, and their main changes and development trends are revealed. The influence of the Russian-Ukrainian war on the economy of Ukraine and the world is revealed, and the humanitarian consequences of the military conflict for the countries of Europe and Ukraine are also predicted. Already existing plans for the restoration of Ukraine’s infrastructure after the end of the war have been analyzed and other possible options for the development of reconstruction have been predicted. The extent to which measures are being prepared to support and restore the tourism industry and the economy and its realism has been established.
Strategi Kerjasama Dalam Memberikan Layanan Lapangan Kerja Bagi Lulusan Sekolah Menengah Kejuruan
Authors: Rifa’i Moh , Hakim Moh
Published: April 2023

Penggangguran merupakan permasalahan yang sangat penting dan berdampak terhadap kesejahteraan masyarakat. Demi kesejahteraan masyarakat pengangguran harus benar-benar diperhatikan dan diatasi melalui organisasi tertentu. Penelitian ini bertujuan untuk mengkaji tentang strategi kerjasama dalam memberikan layanan lapangan kerja bagi lulusan SMK Nurul Jadid, dengan menggunakan metodelogi penelitian Kualitatif jenis studi kasus di SMK Nurul Jadid tahun 2021 dengan 140 alumni, instrumen yang peneliti gunakan data dokumen, penggunaan recorder ketika wawancara berlangsung. Berdasarkan hasil penelitian tersebut strategi yang digunakan SMK Nurul Jadid dalam memberikan layanan lapangan kerja yaitu melakukan bimbingan karir lewat bimbingan konseling, serta memperbanyak Memorandum Of Understanding (MOU) dengan perusahaan. Baik perusahan yang ada di daerah kabupaten probolinggo maupun yang berada di jawa timur, salah satu contohnya adalah dengan PT Indo Bismar Surabaya yang bergerak dalam IT. Ada tiga Strategi yang dilakukan SMK Nurul Jadid untuk memberikan layanan lapangan kerja bagi lulusan, yaitu, Bursa kerja khusus/BKK, Teaching Factory (TEFA), Pelaksanaan  Prakerin.
Motivasi Belajar Siswa pada Pembelajaran IPS di SDN Kraton VI Maospati
Authors: Marsini Marsini
Published: April 2023

Penelitian ini dilatarbelakangi adanya permasalahan pembelajaran pada beberapa siswa di SDN Kraton VI Maospati yang ditunjukkan dengan rendahnya hasil belajar para siswa. Penelitian ini bertujuan untuk motivasi siswa kelas IV dan V terhadap pembelajaran IPS di SDN Kraton VI Maospati tahun ajaran 2022/2023. Jenis penelitian ini yaitu deskriptif kuantitatif dengan metode survei. Populasi dalam penelitian ini yaitu siswa kelas IV dan V di SDN Kraton VI Maospati tahun ajaran 2022/2023, yang berjumlah 49 siswa, pengambilan sampel menggunakan teknik total sampling. Instrumen yang digunakan yaitu tes angket. Teknik analisis data menggunakan analisis deskriptif yang dituangkan dalam bentuk persentase. Hasil penelitian menunjukkan bahwa motivasi siswa kelas IV dan V terhadap pembelajaran IPS di SDN Kraton VI Maospati tahun ajaran 2022/2023 berada pada kategori sangat rendah sebesar 4,08% (2 siswa), kategori rendah sebesar 16,33% (8 siswa), kategori cukup sebesar 24,49% (12 siswa), kategori tinggi sebesar 40,82% (20 siswa), dan kategori sangat tinggi sebesar 14,29% (7 siswa). kesimpulan dari penelitian ini adalah sebagian besar siswa di SDN Kraton VI Maospati memiliki kategori tinggi.
Motion Graphic-Based Work and Energy Physic Learning Media Development
Authors: Zulkarnain Zulkarnain , Islahudin Islahudin , Zahrah Nuryanti Tul
Published: April 2023

Physic learning usually requires more observation to form certain knowledge and concepts. Physic does not only consist of a collection of various knowledge or facts that can be memorized, but also consists of an active process of using the mind in studying natural phenomena that cannot be explained. Physics subject is one of the keys to success in increasing the ability to adapt to change and enter the world of technology. Therefore, certain ways are needed to convey the material in science lessons, especially physics. This study aims to produce Motion Graphic-based Work and Energy Learning Media on feasible work and energy materials in terms of materials, media, and students' responses. The research method used is research and development (R&D), using the 4D model (Define, Design, Develop, and Disseminate). The subjects were conducted in class X IPA 1, which consisted of 15 students. The instrument used is a questionnaire. The results showed that media could be used as a teaching media in the physics subject of work and energy based on expert judgment with very good categories for media, materials, and students' responses. So it can be concluded that Work and Energy motion graphic media can be employed as a ground-breaking teaching tool for engaging Work and Energy physic material.
Perilaku Agresif Dan Sopan Santun Anak Orang Tua Tunggal di SDS IT Cinta Islam Padang
Authors: Nasution Dina Erina , Wahyuni Elsa , Miranda Miranda , Fitria Yanti
Published: April 2023

Keluarga bertanggung jawab terhadap pendidikan anak sejak dini. Fungsi pendidikan dan fungsi ekonomi dalam keluarga tidak dapat dipisahkan. Peneliti melakukan observasi dengan wali kelas IIIA di SDS IT Cinta Islam Padang Siswa tersebut merupakan korban perceraian dari orang tuanya. Dan juga siswa  tidak tinggal dengan salah satu orang tuanya, namun tinggal dengan nenek. Sehingga ditemukan sikap penyimpangan oleh siswa tersebut. Selain itu peneliti juga menemukan tingkah laku agresif. Berdasarkan pertimbangan diatas peneliti tertarik untuk meneliti perilaku agresif anak sekolah dasar. Dalam penelitian ini penulis menggunakan metode penelitian lapangan atau field research. Penelitian ini, menggunakan pendekatan kualitatif untuk penelitian berkaitan dengan penilaian subyektif dari sikap, pendapat dan perilaku. Jenis penelitian studi kasus, metode untuk menghimpun dan menganalisis data berkenaan dengan sesuatu kasus. Berdasarkan hasil penelitian terdapat Faktor-faktor yang mempengaruhi sopan santun anak, yaitu faktor orang tua, lingkungan,dan  sekolah di SDS IT Cinta Islam Padang. Sedangkan bila pasangan suami istri yang bercerai sudah mempunyai anak yaitu dampak psikologisnya, apabila anak tersebut masih kecil maka tidak baik terhadap perkembangan jiwa si anak.
Hubungan Literasi dan Sikap Dengan Sensitivitas Lingkungan Masyarakat
Authors: Anandari Rahmaniar , Suama I Wayan , Amiruddin Amiruddin
Published: April 2023

Penelitian ini bertujuan untuk mengetahui apakah literasi berhubungan dengan sensitivitas  lingkungan masyarakat, untuk mengetahui apakah sikap berhubungan dengan sensitivitas lingkungan masyarakat dan untuk mengetahui literasi dan sikap dengan sensitivitas lingkungan masyarakat di Kawasan Teluk Kendari. Jenis penelitian ini yaitu korelasional atau observasional dengan teknik analisis korelasi. Sampel pada penelitian ini yaitu 85 sampel. Teknik pengumpulan data yang digunakan yaitu instrumen non-tes dengan skala likert dan skala semantik diferensial. Teknik analisis data yaitu menggunakan analisis deskriptif dan analisis inferensial. Berdasarkan hasil analisis dan pembahasan, disimpulkan Literasi lingkungan memiliki hubungan searah yang positif dengan sensitivitas lingkungan masyarakat dengan keeraatan hubungan yang sedang. Sikap lingkungan memiliki hubungan searah yang postif  dengan sensitivitas lingkungan masyarakat dengan keeratan hubungan yang sangat lemah. Literasi dan sikap memiliki hubungan searah yang positif dengan sensitivitas lingkungan dengan keeratan hubungan yang sedang.
Implementation of Merdeka Curriculum in Improving the Quality of Senior High School
Authors: Kamila Sinta Nur , Agus RM Abu Hasan
Published: April 2023

This study aims to determine the implementation of an merdeka curriculum: quality improvement efforts in educational institutions. This research was conducted at SMAN 2 Jember with a qualitative approach through case study research. Data were obtained from observation, interviews, and documentation studies. Informants in the study were the principal, deputy head of curriculum, teachers, and students. In the process of analyzing data, the researcher collects data, reduces data, presents data, and concludes findings. The results of the study show the success of the implementation of the merdeka curriculum in improving the quality of schools through the learning process carried out, namely by preparations including the need to get information about the merdeka curriculum by preparing teachers how they understand what the merdeka curriculum means; teachers take part in online and offline workshops held by the government and the education office besides that the school also conducts its workshops merdekaly by bringing in resource persons related to the merdeka curriculum so that it becomes an excellent contribution to the sustainability and improvement of the quality of education and achieves educational goals that require students to enrich literacy to get to the future era of globalization.
Implementasi Program Pendidikan Inklusi Pada Sekolah Dasar di Kota Serang
Authors: Wijaya Sastra , Supena Asep , Yufiarti
Published: April 2023

Penelitian ini bertujuan untuk mengetahui implementasi program pendidikan inklusi serta aktifitas dukungan sekolah dan guru kepada siswa ABK dalam layanan pendidikan inklusi dan hambatan yang dihadapinya. Penelitian ini dilakukan terhadap sepuluh sekolah dasar negeri di kota serang pada bulan oktober sampai desember 2022. Subjek penelitian ini adalah kepala sekolah, guru dan anak berkebutuhan khusus. Metode dalam penelitian menggunakan metode kualitatif melalui teknik analisis dekriptif dengan kajian studi kasus mengunakan observasi, wawancara, dan studi dokumen. Berdasarkan penelitian pada proses layanan pendidikan inklusi ditemukan sebanyak 60% guru kesulitan dalam melakukan identifikasi dan asesmen awal, sebanyak 50% guru menyatakan belum dapat merencanakan pembelajaran terdiferensiasi, sebanyak 40% guru belum memahami pelaksanaan pembelajaran inklusif, sebanyak 70% guru belum membuat evaluasi/asesmen yang sesuai, dan sebanyak 30% guru mengalami kesulitan mengatur waktu dalam proses pembelajaran. Ditemukan faktor dominan yang menajadi penghambat dalam implementasi pendidikan inklusi di sekolah dasar adalah tidak tersedianya guru pendamping khusus yang memiliki kompetensi dengan latar belakang pendidikan yang sesuai, minimnya sosialisasi kebijakan layanan sistem pendidikan melalui sekolah inklusi, keterbatasan anggaran layanan pendidikan inklusi di sekolah, tidak tersedianya sarana dan prasarana pendukung sekolah inklusi, koordinasi dan komunikasi yang kurang baik antara pihak dalam mendukung pelaksanaan sekolah inklusi.
Bronchogenic carcinoma in sample of Iraqi patients, Fiber optic bronchoscope findings
Authors: Al,Jobouri Adnan M. , Sultan Kassim M. , Al.Obaidy Muhammed W. , Shihab Firas R.
Published: April 2023

Background: Lung cancer is the leading cause of cancer deaths and its incidence is rising. The determination of histopathology and stage of primary lung carcinoma is crucial to develop appropriate treatment approach that affects morbidity and mortality. Fiber optic bronchoscope techniques for early detection of lung cancer are a promising tool as they might allow visualizing changes of early lung cancer and also permitting sampling for histological confirmation.Objective: This study was intended to compare the fiber optic bronchoscopy findings and their anatomical locations with the histopathology types in patients with lung cancer.Patient and Methods: A cross section study was conducted during the period from 1st February 2012 to the 31th of July 2013, 49 patients with clinical and radiological findings suggesting primary lung cancer and diagnose later by bronchoscope samples as cases of primary lung cancer chosen for analysis of their bronchoscope findings, at Baghdad teaching hospital / respiratory clinic.Results: Patients with squamous carcinoma (31%) had (67%) visible mass and (13%) presented invisibly as external compression. Patients with adenocarcinoma (41%) had (40%) visible mass and (35%) presented invisibly as external compression while normal bronchoscope was seen in (30%) of those patients so that adenocarcinoma mostly invisible. Patients with small cell carcinoma (28%) had (50%) visible mass and (21%) presented invisibly as external compression.The location of finding in (27%) of the patients with squam. ous carcinoma was in the right main bronchus and (20%) in right upper lobe bronchus while the carina affected in (47%). Patients with adenocarcinoma have vocal cord affected in (25%) and left upper lobebronchus lesion in (25%).Conclusion: There was no relationship between the fiber optic bronchoscope findings and their anatomical locations with the histological types of lung.
Dense breast as a risk factor in breast malignancy
Authors: Khalil Saabh Ismail , Khalel Enam A. , Sulaiman Tharwat I.
Published: April 2023

Background: One of the strongest risk factors for breast cancer is high breast density, relatively little fat in the breast and more connective and glandular tissue.Objectives: this study aims to measure risk of increase breast density in correlation of CA breast & compare our results with results in other population, to compare the performance of ultrasonography and mammography in measuring breast density according to BIRDS systemMaterials &methods: The study included 45 females .Measuring risk of increase breast density in correlation of CA breast & comparing the performance of ultrasonography and mammography in measuring breast density according to BIRADS system.Results : there is strong influence of breast density as a risk factor of breast CA, according to mammography, it had been significantly found that mammographic density was the more prevalent among CA patients it found in According to mammography, also use of RI as significant and important way for estimation of density as use of 0.6 as a cutoff point, as 91% of dense breast had RI more than 0.6.Conclusions : increase breast density is associated with possible increase risk of CA breast and use of ultrasound, mammogram and RI play a role in estimating breast density.
Epidemiological Characteristics of Occupational Accidents Reported to the National Center for Occupational Safety and Health for the years 2011-2013
Authors: Abdulmahdi Isra’a S. , Aljuboori Suhair
Published: April 2023

Background: Understanding the risk factors associated with injuries at workplace is an essential element to design and implement preventive measures for such injuries which are a significant source of disability, death and socioeconomic losses worldwide.Objectives: describe cases of occupational injuries with respect to person- place- time model.Materials and methods: Cross-sectional study done from October 2013 to October 2014 carried on 467 records of occupational injuries kept in the National Center for Occupational Safety and Health for the years 2011-2013.Results: Ahigher proportion of reported occupational accidents occurred in young male workers, during day time and among primary school graduates.The leading cause of fatality/permanent disability was electrical shock. Work-related road accidents had the highest fatality/permanent disability rate.Missing data in the field:age, duration of service, length of sick leave constituted 22.5%, 43% and 69.4% respectively.Conclusion: Work accidents could be prevented through the application and the use of safety techniques and equipments.Improving the quality and the completeness of data on occupational injuries is an important step to promote the performance of occupational health services.
Exploring the uptake of CATALISE recommendations from the perspective of speech and language therapists working in the Irish context: A qualitative online survey
Authors: Gallagher Aoife L. , Finn Sinead , Dolan Ruth , Dunphy Edel
Published: April 2023

BACKGROUND: The Irish Association of Speech and Language Therapists (IASLT) has led on a series of implementation efforts since the publication of recommendations regarding terminology and diagnosis of developmental language disorder (DLD) by the CATALISE Consortium in 2017. OBJECTIVE: To explore the views of speech and language therapists (SLTs) about the effectiveness of IASLT dissemination efforts in relation to the CATALISE recommendations to inform the development of a national DLD implementation strategy. METHODS: A self-administered qualitative e-survey was designed. A purposive sample of SLTs working in Ireland was recruited using a maximum variation strategy. The survey included closed and open questions. Qualitative data were analysed deductively using constructs from the Consolidation Framework for Implementation Research. Findings were integrated using concepts from the RE-AIM framework. RESULTS: Dissemination methods were considered effective at the preadoption stage. However, barriers to early use of the CATALISE recommendations were identified related to low practitioner self-concept, the complex nature of the required practice changes, and a lack of compatibility with service pathways. Misalignment across health and education policy was identified as a barrier to uptake of the recommendations for those working in schools. Ongoing opportunities for case-based discussion was viewed as an important component of future implementation efforts. The importance of engaged leadership in overcoming implementation barriers is also highlighted. CONCLUSIONS: A targeted multi-level implementation strategy developed by an inclusive stakeholder network including speech and language therapy managers is required to support the full adoption of the CATALISE recommendations into policy, service, and practice in the Irish context.
A banking app for people with brain injuries: Co-designed by a person with aphasia and a speech and language therapist
Authors: Brodie Mark , Brodie Carolyn , Raymond Lisa
Published: April 2023

We describe the process where a stroke survivor, his wife, and a speech language pathologist participated together to design and implement a new piece of software to help patients with brain injury recover skills needed to manage their finances. Each person provided a different perspective that led to a successful collaboration. The stroke survivor, a computer scientist, has experience with aphasia apps that he used in therapy. His wife, also a computer scientist, has experience with participatory design techniques and agile software development methodologies. The SLP understands the requirements needed for software to be useful for patients in a clinical setting. Together the team created an app that is currently being used in two rehab centers.
The Prevalence and Trends of Instrumental Activities of Daily Living Impairments in the United States from 2008–2018
Authors: Knoll Kelly , Rhee Yeong , Hamm Jeremy M. , Hammer Kimberly D.P. , Heimbuch Halli , Holloway Jeremy , Jurivich Donald , Lahr Peyton , McGrath Brenda , Parker Kelly , Robinson-Lane Sheria , Stover Emily , Tomkinson Grant R. , McGrath Ryan
Published: April 2023

Background:

Instrumental activities of daily living (IADL) are neuropsychological-driven tasks that are linked to cognitive dysfunction. Examining population-based IADL deficits may reveal insights for the presence of these impairments in the United States.

Objective:

This investigation sought to evaluate the prevalence and trends of IADL impairments in Americans.

Methods:

A secondary analysis of data from the 2006–2018 waves of the Health and Retirement Study was conducted. The overall unweighted analytic sample included 29,764 Americans aged≥50 years. Respondents indicated their ability to perform six IADLs: manage money, manage medications, use a telephone, prepare hot meals, shop for groceries, and use a map. Persons reporting difficulty or an inability to complete an individual IADL were considered as having a task-specific impairment. Similarly, those indicating difficulty or an inability to perform any IADL were classified as having an IADL impairment. Sample weights were utilized to generate nationally-representative estimates.

Results:

Having an impairment in using a map (2018 wave: 15.7% (95% confidence interval (CI): 15.0–16.4) had the highest prevalence in individual IADLs regardless of wave examined. The overall prevalence of IADL impairments declined during the study period ( p < 0.001) to 25.4% (CI: 24.5–26.2) in the 2018 wave. Older Americans and women had a consistently higher prevalence of IADL impairments compared to middle-aged Americans and men, respectively. The prevalence of IADL impairments was also highest among Hispanics and non-Hispanic Blacks.

Conclusion:

IADL impairments have declined over time. Continued surveillance of IADLs may help inform cognitive screening, identify subpopulations at risk of impairment, and guide relevant policy.
Asymptotic stability of stationary solutions for the Kirchhoff equation
Authors: Yu Min , Li Weijia , Yan Weiping
Published: April 2023

This paper considers nonlinear Kirchhoff equation with Kelvin–Voigt damping. This model is used to describe the transversal motion of a stretched string. The existence of smooth stationary solutions of nonlinear Kirchhoff equation has been studied widely. In the present contribution, we prove that a class of stationary solutions is asymptotic stable by overcoming the “loss of derivative” phenomenon causing from the Kirchhoff operator. The key point is to find a suitable weighted function when we carry out the energy estimate for the linearized equation.
Cost Automata, Safe Schemes, and Downward Closures
Authors: Barozzini David , Clemente Lorenzo , Colcombet Thomas , Parys Paweł
Published: April 2023

In this work we prove decidability of the model-checking problem for safe recursion schemes against properties defined by alternating B-automata. We then exploit this result to show how to compute downward closures of languages of finite trees recognized by safe recursion schemes.

Higher-order recursion schemes are an expressive formalism used to define languages of finite and infinite ranked trees by means of fixed points of lambda terms. They extend regular and context-free grammars, and are equivalent in expressive power to the simply typed λY-calculus and collapsible pushdown automata. Safety in a syntactic restriction which limits their expressive power.

The class of alternating B-automata is an extension of alternating parity automata over infinite trees; it enhances them with counting features that can be used to describe boundedness properties.
Dynamic gaussian deep belief network design and stock market application
Authors: Xi Shuyue , Xu Xiaozhong
Published: April 2023

Stock price forecasting has been an important topic for investors, researchers, and analysts. In this paper, a prediction model of Dynamic Gaussian Deep Belief Network (DGDBN) is proposed. Generally, the network structure of traditional Deep Belief Network (DBN) determines the performance of its time series prediction. Most previous research uses artificial experience to adjust the network structure, it is difficult to ensure performance and time efficiency by constantly trying. In addition, the accuracy of the traditional DBN stacked by binary Restricted Boltzmann Machines(RBM) needs to be improved when solving the time series problem. The DGDBN designed in this paper contains two points: The first point is to add Gaussian noise to the RBM. The second point is to realize the increase or decrease branch algorithm of hidden layer structure according to the connection weights and average percentage error (MAPE). Finally, the forecast for the stocks of United Technologies Corporation and Unisys Corp, DGDBN is compared with DBN and LSTM. The root means square error (RMSE) increases by 15% and 65%. The interesting thing we found is that the number of neurons in the last layer of the DGDBN network has a greater effect than other layers.
Improving multi-label learning by modeling Local label and feature correlations
Authors: Cheng Qianqian , Huang Jun , Zhang Huiyi , Chen Sibao , Zheng Xiao
Published: April 2023

Multi-label learning deals with the problem that each instance is associated with multiple labels simultaneously, and many methods have been proposed by modeling label correlations in a global way to improve the performance of multi-label learning. However, the local label correlations and the influence of feature correlations are not fully exploited for multi-label learning. In real applications, different examples may share different label correlations, and similarly, different feature correlations are also shared by different data subsets. In this paper, a method is proposed for multi-label learning by modeling local label correlations and local feature correlations. Specifically, the data set is first divided into several subsets by a clustering method. Then, the local label and feature correlations, and the multi-label classifiers are modeled based on each data subset respectively. In addition, a novel regularization is proposed to model the consistency between classifiers corresponding to different data subsets. Experimental results on twelve real-word multi-label data sets demonstrate the effectiveness of the proposed method.
Gα13-Mediated Signaling Cascade Is Related to the Tau Pathology Caused by Anesthesia and Surgery in 5XFAD Transgenic Mice
Authors: Zhang Junyao , Zhang Tong , Wang Yinuo , Yao Liangfang , Yao Junyan
Published: April 2023

Background:

Our previous studies indicated that anesthesia and surgery could aggravate cognitive impairment of 5XFAD transgenic (Tg) mice, and this aggravation was associated with tau hyperphosphorylation. We previously identified that GNA13 (the gene encoding Gα13) was a hub gene with tau hyperphosphorylation.

Objective:

This study aims to further investigate the mechanism that whether the Gα13-mediated signaling pathway acts as an instigator to regulate cofilin activation and autophagy impairment in this process.

Methods:

5XFAD Tg mice and their littermate (LM) mice were randomly allocated into four groups: LM Control group, LM Anesthesia/Surgery group, AD Control group, and AD Anesthesia/Surgery group. For mice in the Anesthesia/Surgery groups, abdominal surgery was performed under 1.4% isoflurane anesthesia followed by sustaining anesthetic inhalation for up to 2 h.

Results:

Compared with the AD Control group, protein levels of Gα13, ROCK2, LPAR5, and p-tau/tau46 ratio were increased, while p-cofilin/cofilin protein expression ratio was decreased in the AD Anesthesia/Surgery group. However, the differences in these protein levels were not significant among LM groups.

Conclusion:

This study demonstrated that anesthesia and surgery might exacerbate p-tau accumulation in 5XFAD Tg mice but not in LM mice. And this might be closely related to cofilin activation via Gα13-mediated signaling cascade.
The stability of interval two-dimensional semi-linear differential equations based on constrained interval arithmetic
Authors: Zhi Zhaodan , Tao Juan
Published: April 2023

In this study, the constrained interval arithmetic (CIA) is used as an effective mathematical tool for solving the stability analysis for interval two-dimensional semi-linear differential equations. Under certain assumptions, the origin is a focus of the interval semi-linear differential equations if it is a focus of the interval linear ones. Meanwhile, the origin can be a center, a center-focus or a focus of interval semi-linear differential equations if it is a center of the interval linear ones. On the other word, the types of equilibrium point are still determined by the linear part when a nonlinear disturbance is added to the interval linear differential equations. Based on CIA, the stability results of interval differential equations are the same as those of the real differential equations. At last, three illustrative examples validate the stability results of the origin for interval two-dimensional semi-linear differential equations.
Multichannel cross-fusional convolutional neural networks
Authors: Shan Chuanhui , Ou Jun , Chen Xiumei
Published: April 2023

As one of the main methods of information fusion, artificial intelligence class fusion algorithm not only inherits the powerful skills of artificial intelligence, but also inherits many advantages of information fusion. Similarly, as an important sub-field of artificial intelligence class fusion algorithm, deep learning class fusion algorithm also inherits advantages of deep learning and information fusion. Hence, deep learning fusion algorithm has become one of the research hotspots of many scholars. To solve the problem that the existing neural networks are input into multiple channels as a whole and cannot fully learn information of multichannel images, Shan et al. proposed multichannel concat-fusional convolutional neural networks. To mine more multichannel images’ information and further explore the performance of different fusion types, the paper proposes new fusional neural networks called multichannel cross-fusion convolutional neural networks (McCfCNNs) with fusion types of “R+G+B/R+G+B/R+G+B” and “R+G/G+B/B+R” based on the tremendous strengths of information fusion. Experiments show that McCfCNNs obtain 0.07-6.09% relative performance improvement in comparison with their corresponding non-fusion convolutional neural networks (CNNs) on diverse datasets (such as CIFAR100, SVHN, CALTECH256, and IMAGENET) under a certain computational complexity. Hence, McCfCNNs with fusion types of “R+G+B/R+G+B/R+G+B” and “R+G/G+B/B+R” can learn more fully multichannel images’ information, which provide a method and idea for processing multichannel information fusion, for example, remote sensing satellite images.
A case study of fault diagnosis based on deep autoencoder
Authors: Ma Haishu , Ma Zongzheng
Published: April 2023

Unexpected failure of production equipment may lead to fatal accidents and economic losses of the enterprise. It is important to find out the cause and reason as soon as possible and take appropriate maintenance measures. Condition monitoring is often applied to predict equipment failures based on certain parameters. Moreover, when the parts of the rotating machinery fail, the vibration signals collected by the sensors are often mixed with a large amount of noise, which will cause difficulties for the accuracy and generalization of traditional fault diagnosis models. How to extract more effective feature information from complex vibration signals is of indescribable importance for optimizing fault diagnosis models. In order to improve the accuracy of fault diagnosis in manufacturing system, a deep neural network model was proposed, which was validated on a blower. First, the vibration signal was collected using the sensors mounted on the blower. Then, wavelet packet decomposition and fast fourier transform were applied for feature extraction. Deep learning model was built using keras to diagnose the blower. The stacked Autoencoder is adopted in the DNN for dimension reduction. The extracted features are fed into the Multilayer Perceptron for fault diagnosis. Experimental results show that the proposed deep neural network model is able to predict the degradation of the mechanical equipment with high accuracy.
The clinical effect of the digital guide in the early implant restoration of second molars
Authors: Wang Zou , Hu Chen , Zhang Yanli , Wang Linlin , Shao Longquan , You Jie
Published: April 2023

BACKGROUND: In the absence of contraindications to implants, implant repair is the preferred method to treat mandibular second molar loss. OBJECTIVE: To compare the clinical effects of a traditional implant guide and digital implant guide in the early implant restoration of second molars. METHODS: The study included 35 patients with second molar loss randomly divided into two groups. Eighteen patients in the experimental group had an implant procedure using a computer-aided design/computer-assisted manufacturing (CAD/CAM) digital implant guide, and 17 patients in the control group had the procedure using a traditional film pressing implantation guide. Then, the surgical procedure was completed using the two different implant guides. At 3 months after surgery, four parameters including screw hole exit position, coronal deviation of the implant site, disease improvement rate, and clinical effects, which included marginal adaptation, anatomic form, marginal discoloration, postoperative sensitivity, surface roughness, and secondary caries of the upper prosthesis were compared between the two groups. RESULTS: The screw hole exit position in the experimental group was directed to the functional cusp of the opposite jaw, and there was a statistically significant difference between the two groups. There was no statistically significant difference in the rate of disease improvement and the clinical effect of the upper prosthesis between the two groups. There was no statistically significant difference in the bilateral coronal deviation and deviation direction of implants in the two groups. The bilateral coronal deviation of the experimental group was smaller than that of the control group. CONCLUSION: The digital implant guide can effectively reduce the deviation of the screw hole and the upper prosthesis in the restoration of the second molar. The prosthesis used in the experimental group had a good clinical outcome, which provides a theoretical basis for the restoration of the posterior molar.