bluuebunny/crossref_metadata_2025 huggingface dataset:
THE ROLE OF POLITICAL STABILITY IN THE CONTEXT OF ESG MODELS AT WORLD LEVEL
Authors: Costantiello Alberto , Leogrande Angelo
Published: January 2024

In this article, we estimate the role of Political Stability and Absence of Violence and Terrorism-PS in the context of Environmental, Social and Governance-ESG data at world level. We analyse data from 193 countries in the period 2011-2020. We apply Panel Data with Fixed Effects, Panel Data with Random Effects and Pooled Ordinary Least Square-OLS. We found that PS is positively associated, among others, to Population Density and Government Effectiveness, and negatively associated, among others, to Research and Development Expenditure and Maximum 5-day Rainfall. Furthermore, we apply the k-Means algorithm optimized with the application of the Elbow Method and we find the presence of four clusters. Finally, we propose a confrontation among eight different machine-learning algorithms for the prediction of PS and we find that the Polynomial Regression shows the higher performance. The Polynomial Regression predicts an increase in the level of PS of 0.25% on average for the analysed countries.
THE ROLE OF GDP GROWTH IN THE ESG APPROACH AT WORLD LEVEL
Authors: Costantiello Alberto , Leogrande Angelo
Published: January 2024

We analyze the question of GDP Growth-GDPG rate in the context of Environmental, Social and Governance-ESG framework. We use World Bank data for 193 countries in the period 2011-2020 using different econometric techniques i.e., Panel Data with Fixed Effects, Panel Data with Random Effects, Pooled Ordinary Least Squares-OLS. We found that GDPG rate is positively associated, among others, to “Government Effectiveness” and “Prevalence of Undernourishment” and negatively associated among others to “Unemployment” and “Research and Development Expenditure”. Furthermore, we have applied the k-Means algorithm optimized with the Elbow method and we found the presence of four clusters in the sense of GDPG rate. Finally, we confront eight machine learning algorithms to predict the value of GDPG rate and we found that the Polynomial Regression is the best predictor. The Polynomial Regression predicts an increase of GDPG rate equal to 2.88% on average for the analysed countries.
BEDS IN HEALTH FACILITIES IN THE ITALIAN REGIONS: A SOCIO-ECONOMIC APPROACH
Authors: Leogrande Angelo , Costantiello Alberto , Leogrande Domenico , Anobile Fabio
Published: January 2024

In this article, we consider the determinants of the beds in healthcare facilities-BEDS in the Italian regions between 2004 and 2022. We use the ISTAT-BES database. We use different econometric techniques i.e.: Panel Data with Fixed Effects, Panel Data with Random Effects, Pooled Ordinary Least Squares-OLS, Weighted Least Squares-WLS, and Dynamic Panel at 1 Stage. The results show that the level of BEDS is positively associated, among others, to "General Doctors with a Number of Clients over the Threshold" and "Life Satisfaction", and negatively associated among others, to "Trust in Parties" and "Positive Judgment on Future Prospects". Furthermore, we apply a clusterization with the k-Means algorithm optimized with the Silhouette Coefficient and we find the presence of two clusters in terms of BEDS. Finally, we make a confrontation among eight machine-learning algorithms and we find that the best predictor is the ANN-Artificial Neural Network.
Nasichatul Ummah Quotes
Authors: Setiawan Adib Rifqi
Published: January 2024

Nasichatul Ummah is a dignified educator nor excellence of communicator in education, who is assistant principal of academic and students affairs at Bintang Mulia Homeschooling. This is a treasure-trove of memorable quotations taken from the Bintang Mulia Homeschooling Youtube Channel since Tuesday, December 5, 2023 until Tuesday, January 23, 2024.
Breaking Barriers: Hand Gesture Vocalizer for the Deaf and Mute
Authors: Jha Ashish , Pathak Kamal
Published: January 2024

This study addresses communication challenges faced by deaf and mute individuals by exploring the feasibility of utilizing flex sensors and the Random Forest algorithm for hand gesture vocalization. The background underscores the significance of accessible communication tools in enhancing the lives of those with hearing and speech impairments. The study's purpose is to assess the eﬀectiveness of flex sensors in detecting hand gestures and the Random Forest algorithm's potential to generate vocalized speech corresponding to these gestures. The methodology involves data collection from flex sensors through Arduino, Random Forest model training, and accuracy evaluation in gesture recognition. Promising results indicate the model's high accuracy in classifying diverse hand gestures. The study emphasizes the technology-driven solution's importance in bridging communication gaps for those with impairments. Combining flex sensors and the Random Forest algorithm oﬀers an intuitive communication tool, transforming interactions for deaf and mute individuals. Consideration for real-world scenarios and user diversity during system development is highlighted, crucial for practical accuracy. Beyond individual communication, the study's implications span education, employment, and social integration for people with disabilities. Implementing this technology in education fosters inclusive environments, empowering deaf and mute students to engage actively. The integration of flex sensors and the Random Forest algorithm holds immense promise, revolutionizing communication, and life quality. As an accessible gesture-based vocalization tool, it can reshape societal perspectives, fostering inclusivity and empathy. The study advocates continuous research and development, urging widespread technology adoption to create an inclusive society valuing diversity.
Existing Classroom Teaching Practices in Janamaitri Multiple Campus, Kuleshwar
Authors: Singh Dipak , Tripathi Ramesh
Published: January 2024

The present study has conducted with the main objective to access the classroom teaching practices by the teachers. It has followed the personal status of the teachers as well as the practices of effective classroom teaching. It was based on observational descriptive research design with quantitative nature. The study was conducted on Janamaitri Multiple Campus and the full-time faculties with in the campus. The purposive sampling technique was applied to select the 30 faculties including of 20 male and 10 female faculties. The direct class observation was applied to collect the data and information with major components for effective teaching learning activities. The study concludes that there is normal gap between male and female teachers in teaching profession, most of the teachers were in the middle age group, most of the male teachers had only master level of education except female teachers, most of the teachers had excellent teaching experience from ten to twenty-five years and all most all the teachers had salary as a main source of personal income. Some teachers got regular teaching training in their respective subjects, only few teachers had followed the structured lesson plans and strategy during teaching learning, some teachers had followed traditional methods of teaching and materials during teaching and most of the teachers had managed the classroom properly during teaching learning activities. The regular training and refresher program regarding of modern teaching techniques should be conducted by the campus administration for their respected teachers. Regular monitoring and discussion session with teachers, students and administration should be conducted for improvement.
Rancang Bangun Sistem Informasi Bersih Bersama
Authors: Yunita Yunita , Satya Muhammad Taufik , Pratama Muhammad Ngurah Arya , Amalia Hilda , Pohan Achmad Baroqah
Published: January 2024

Sampah dan lingkungan salah satu isu yang semakin mendesak saat ini, meingkatnya jumlah penduduk berbanding lurus dengan meningkatnya jumlah sampah dan berbagai masalah lingkungan yang semakin kompleks. Meningkatnya jumlah penduduk tidak mempengaruhi kesadaran penduduk untuk menjaga lingkungannya. Hal ini menimbulkan berbagai masalah baru seperti bay tak sedap, penyakit, dan bencana banjir. Berbagai masalah Kesehatan lainnya. Oleh karena itu diperlukan kesadaran kolektif masyarakat unruk menjaga lingkungan terutama soal pembersihan sampah. Beberapa upaya telah dilakukan untuk menangani masalah sampah tetapi hanya sebatas menumbuhkan kesadaran masyarakat untuk menjaga kebersihan dan bagaimana mengelola sampah, sedangkan untuk membersihkan sampah atau lingkungan yang sudah tercemar oleh sampah belum ada upaya yang dilakukan hanya sebatas membersihkan wilayah sekitarnya saja.  Berdasarkan latar belakang tersebut kami membuat sebuah aplikasi Bersih Bersama berbasis web dengan menggunakan metode waterfall untuk mengajak masyarakat dari seluruh wilayah untuk berpartisipasi membersihkan wilayah yang sudah tercemar maupun memberikan informasi mengenai wilayah yang tercemar agar ditindak lanjuti. Sehingga memberi manfaat dalam memfasilitasi kegiatan kebersihan lingkungan secara efektif dan efisien serta meningkatkan partisipasi masyarakat dalam menjaga kebersihan lingkungan.
Analisis Kepuasan Pelanggan Jasa Pengiriman Barang Dengan Metode Servqual Pada PT. Sinergi Adhikarya Semesta
Authors: Suryanto Ade , Salahudin Muhammad , Kuncoro Bayu Nur , Putri Destiana
Published: January 2024

PT Sinergi Adhikarya Semesta adalah perusahaan pengiriman barang yang telah bekerja sama dengan banyak perusahaan besar di bidang perbankan, asuransi dan e-commerce. Pengolahan data pada penelitian ini menggunakan analisis faktor sebagai teknik analisis datanya, dimana teknik ini digunakan untuk mengelompokkan indikator-indikator pengukuran yang ada dalam alat ukur service quality (Servqual) sesuai dengan kedekatan masing-masing indikator yang diuji. Penelitian ini menggunakan SERVQUAL yang menggunakan 5 dimensi untuk mengukur kepuasan pelanggan untuk perusahaan jasa, yaitu: Realibility, Responsiveness, Assurance, Empathy, dan TangiblePerhitungan Nilai Gap Per Dimensi hasil yang didapat menunjukkan bahwa nilai gap per dimensi dengan nilai tertinggi dan keterangan pertama ialah pada dimensi Daya Tanggap (Responsiveness) dengan nilai gap sebesar 2,205 Hal ini mengartikan pada dimensi Daya Tanggap (Responsiveness) sudah memenuhi harapan responden. Perhitungan Nilai Gap Kesleuruhan hasil yang didapat menunjukkan bahwa nilai gap keseluruhan sebesar 1,936. Hasil perhitungan menggunakan metode Service Quality dari keseluruhan atribut dapat diketahui nilai rata-rata kenyataan pelanggan 4,0656 serta nilai rata-rata Harapan pelanggan sebesar 2,1296 sehingga didapatkan nilai gap positif antara kenyataan perusahaan dan harapan pelanggan 1,936 yang menunjukkan bahwa pelanggan puas dengan layanan pengiriman PT Sinergi Adhikarya Semesta
The Role of Digital Media Technology in Arabic and English Classes in the Kingdom of Jordan
Authors: Alzubi Ahmad Mohmmad
Published: January 2024

Purpose - This study examines how Jordanian universities are using technology in the English-language curriculum, focusing on Petra and Al-Zaytoonah's Arabic and English preparation programs. The study's main goal is to determine how well smart boards, iPads, and Moodle teach ESL students. The study will also assess language classroom technology's pros and cons. The study's main objective is to assess technology integration and its impact on Jordanian EFL students.

Design/methodology/approach - The research methodology used in this study is a qualitative and observational technique in order to accomplish its stated aims. The research methodology includes conducting interviews with English academics affiliated with the University of Petra and the University of Al-Zaytoonah in the country of Jordan. The conducted interviews provide significant perspectives on the use of technology within English educational settings. Furthermore, the research undertakes a comprehensive examination of pertinent scholarly works in order to enhance and support the insights derived from the interviews.

Findings/results – Based on the data and the interviews, it has been observed that Jordanian educators use several technology tools, including smart boards, iPads, and Moodle, inside their English lessons. The use of technology might potentially enhance the language proficiency of Arabic and English language learners (ELLs) in Jordan, offering them many advantages. However, it is worth noting that there exists a significant deficiency in the level of knowledge of and comprehension of technology among some instructors.

Originality/value - Technology's role in Jordanian English language instruction is underlined in this research. Technology utilization in Petra University and Al-Zaytoonah University's preparatory schools is studied. Through educator interviews and literature reviews, this research analyzes technology integration today. This study also examines the pros and cons of utilizing technology to improve language competency, helping educators and scholars comprehend technology's impact on language education.

Paper type – Research paper
Respon Pertumbuhan Tanaman Terung (Solanum melongena L.) Terhadap Pemberian Kompos Limbah Nilam (Pogostemon cablin Benth.)
Authors: Erfina Erfina , Maretik Maretik , Dandi Dandi , Tahir Tahir
Published: January 2024

Kuantitas limbah nilam pada indusrti penyulingan nilam yang semakin meningkat membutuhkan upaya pemanfaatan guna menghindari kerusakan lingkunagn, salah satu alternatif yaitu dijadikan sebagai pupuk kompos. Pada tahun 2022 produksi terung mengalami penurunan yaitu sebesar 52.221,00 ton/tahun. Hal tersebut perlu dilakukan peningkatan produksi tanaman terung (Solanum melongena L.) Kompos Limbah nilam merupakan hasil buangan dari proses produksi penyulingan minyak nilam yang memiliki kandungan hara yang sangat dibutuhkan oleh tanaman sehingga dapat dijadikan sebagai alternatif untuk mengganti pupuk anorganik. Penelitian ini bertujuan untuk mengetahui respon kompos limbah nilam terhadap pertumbuhan tanaman terung. Metode yang digunakan dalam penelitian ini yaitu Rancangan Acak Kelompok (RAK) yang terdiri dari 5 taraf perlakuan dan 4 kali ulangan. Dosis yang digunakan adalah K0 (kontrol), K1 (600 gram), K2 (800 gram), K3 (1000 gram), K4 (1500 gram). Parameter yang diamati meliputi tinggi batang (cm) dan jumlah daun (helai). Hasil uji ANOVA untuk kelompok bahwa perlakuan tinggi tanaman terung tidak memberikan pengaruh yang signifikan yaitu Fhitung (2,39) < Ftabel (3,49) maupun pada perlakuan tidak memberikan pengaruh yang signifikan yaitu Fhitung (2,18) < Ftabel (3,26), hal tersebut disebabkan oleh faktor lingkungan seperti curah hujan yang sangat tinggi sehingga kandungan unsur hara yang ada pada pupuk ikut tercuci oleh air dan tidak maksimal diserap oleh akar tanaman. Hasil uji ANOVA pada jumlah helai daun menunjukkan bahwa perlakuan pemberian pupuk kompos limbah nilam untuk kelompok tidak memberikan pengaruh yang signifikan yaitu Fhitung (1,22) < Ftabel (3,49) maupun pada perlakuan tidak memberikan pengaruh yang signifikan yaitu Fhitung (0,66) < Ftabel (3,26), diduga dosis pemberian pupuk belum mencukupi untuk menunjang pertambahan jumlah helai daun pada tanaman terung. Maka dapat disimpulkan bahwa tidak ada pengaruh yang signifikan terhadap pemberian kompos limbah nilam terhadap pertumbuhan tanaman terung.
Measuring cognitive loads and attitudes of pre-service teachers in computer based testing environment
Authors: ODACI Mehmet Mevlüt , UZUN Erman
Published: January 2024

This study aimed to reveal the attitudes of the students who were subjected to measurement and evaluation in an online testing environment towards the computer based testing (CBT) platform and the factors that affect their attitudes. It also examined the students’ cognitive loads in the exam designed with multimedia elements from message design principles by using the facilities of this platform. The study was conducted with a case study design. The participants consisted of 32 students. Participants took a previously used and redesigned English achievement test based on the multimedia design principle. Then, cognitive load scale and attitude towards computer scale were implemented. In addition, seven volunteer participants were interviewed. The results of the study showed that factors such as students’ equipment advantage, time, success, flexibility, individuality and less mental effort affected the participants’ attitudes towards the CBT environment. A significant difference was found between the scores of the participants in the cognitive load scale and the duration of the exam. There was a low and positive correlation between the cognitive load score of the participants for the listening test and the time to complete these questions, and a low and negative correlation between the correct answer scores of the participants in the listening test.
Dinamika prosušivanja i promjene kakvoće grožđa sorte 'Plavina' u kontroliranim uvjetima proizvodnje prošeka
Authors: Andabaka Željko , Anzulović Katarina , Preiner Darko , Stupić Domagoj , Marković Zvjezdana , Maletić Edi , Karoglan Kontić Jasminka , Tomaz Ivana , Šikuten Iva
Published: January 2024

Prosušivanje grožđa jedan je od ključnih postupaka u proizvodnji prošeka, desertnog vina s dugom tradicijom proizvodnje u Hrvatskoj. Tradicionalne sorte koje su se koristile u proizvodnji prošeka su autohtone sorte Dalmacije. Jedna od sorata koja se zbog svoje rasprostranjenosti i karakteristika može koristiti u proizvodnji prošeka je autohtona sorta 'Plavina'. Tradicionalna proizvodnja prošeka uključuje prosušivanje grožđa na zraku, međutim razvojem tehnologije otvorile su se i mogućnosti sušenja u kontroliranim uvjetima. Stoga je cilj rada bio utvrditi promjene kakvoće grožđa sorte 'Plavina crna' u kontroliranim uvjetima sušenja. Rezultati su pokazali kako je sušenjem došlo do koncentriranja sadržaja bobice te se povećao sadržaj šećera i organskih kiselina. Prosušivanjem se smanjio sadržaj polifenolnih i hlapljivih spojeva. Kako bi se utvrdio točan utjecaj na konačni proizvod, potrebna su daljnja istraživanja.
Deskriptori i različite percepcije vina Graševine
Authors: Mesić Josip , Pichler Ana , Ivić Ivana , Ćosić Dunja , Svitlica Brankica
Published: January 2024

Najzastupljenija vina u republici Hrvatskoj su vina sorte graševine. Od ukupne proizvodnje vina udio graševine iznosi čak 40,6 %. U uvjetima vinogradarske regije Slavonija i Hrvatsko Podunavlje od ove se sorte proizvode svi stilovi vina, od „mladog vina“, pjenušavog, dugo maceriranog, njegovanog na talogu kvasaca u hrastovim bačvama; od svih predikata do vrhunskih arhivskih primjeraka. Uz takvu raznolikost stilova vrlo je značajno definirati svako pojedino vino i na prikladan ga način predstaviti. Kako je iz više primjera vidljivo da često nedostaje vinskog vokabulara cilj rada je prikazati trenutne deskriptore pojedinih vina graševine Slavonije i Hrvatskog Podunavlja. S mrežnih stranica proizvođača vina prikupljeni su deskriptori boje, mirisa i okusa za 58 graševina koje su trenutno na tržištu. Kod vina redovne berbe najčešći deskriptori mirisa graševine vezani su uz zelenu jabuku, jabuku, citruse, cvjetno i voćno. Okus se najčešće opisuje kao svjež, lagan, ugodnih kiselina uz često isticanje blage gorčine koja se niti jednom ne spominje kod odležanih i maceriranih. Zrelija i kompleksnija vina zbog svoje složenosti često su opisana s više različitih deskriptora, a pojedini su vezani samo uz jedno vino.
ВДОСКОНАЛЕННЯ РОБОТИ ЗГОРТКОВИХ НЕЙРОНИХ МЕРЕЖ ДЛЯ РОЗПІЗНАВАННЯ ЗОБРАЖЕНЬ СТАНУ ГРУНТІВ У СІЛЬСЬКОМУ ГОСПОДАТСТВІ
Authors: СУПРИГАН Олена , СУПРИГАН Віталій
Published: January 2024

Стаття описує проблеми дослідження стану грунтів та пропонує способи їх вирішення. Розглянуті актуальні методи та засоби контролю. Робиться наголос на сучасності використання безпілотних літальних апаратів та пропонується спосіб попередньої обробки зображень стану грунтів із наступною обробкою зображень на згорткових нейронних мережах. Науковою новизною статті є пропозиція використання оператору впливу в послідовності обчислень.
El futuro de la educación superior. Una mirada desde la inteligencia artificial
Authors: Suarez Gomez Johana
Published: January 2024

Como objetivo, se propuso revisar literatura sobre educación superior e inteligencia artificial en los años 2020 y 2022. El estudio fue abordado desde un paradigma cualitativo de tipo revisión documental, en el cual se incluyó artículos publicados en las bases de datos Redalyc, Scielo, Science Direct y Scopus a partir del año 2020 en español. Los resultados obtenidos fueron la configuración de una base de datos con un total de 23 artículos analizados, de los cuales se identificó dos tendencias en los aportes de los estudios: una relacionada con la inteligencia artificial como una herramienta práctica en los diferentes campos aplicados de las ciencias y otra relativa a la inteligencia artificial, reconfiguración de la relación enseñanza-aprendizaje en educación superior. Se concluyó que en el campo pedagógico tiene varios aportes, al establecer estrategias para la formación de los nuevos profesionales de la salud mental.
El sentido de vida como ruta a la felicidad
Authors: Aldana de Becerra Gloria Marlen , Muñoz Muñoz Hernando
Published: January 2024

El presente trabajo constituye una reflexión acerca de la pregunta por el sentido de la vida, pregunta que ha sido una constante desde diversas posturas teóricas, con el propósito de dar respuestas a cuestionamientos de orden existencial. Se tomó como punto de partida el artículo Hablar del sentido de la vida, de Jean Grondin. Además, se consultó 24 referencias bibliográficas a partir de las cuales se confirmó la tesis inicial de que el sentido de vida es una construcción permanente, individual y subjetiva, que se hace extensiva a lo colectivo y que se sustenta en el descubrimiento de la direccionalidad de las cosas y en la capacidad para apropiar los recursos que se dispone. Así que, este constructo es entendido como una vía para alcanzar la felicidad, por tanto, meta de los seres humanos. Se concluye que, encontrarle sentido a nuestra vida implica asumir la responsabilidad de nuestra propia existencia.
Emociones primarias básicas en el proceso de adquisición de la lectoescritura
Authors: García Ruvalcaba Jazmín , Ramírez Salazar Martha Angélica , Guirette Barbosa Omar Alejandro , Castañeda Burciaga Selene
Published: January 2024

Es preciso que los docentes de los primeros grados escolares conozcan el impacto que genera en el aprendizaje de los niños, el conocimiento y manejo de sus emociones, para que, mediante ello, propicien el clima áulico que permita que estos se apropien de la lectura y escritura como un proceso natural, creativo e innovador. El objetivo del estudio es analizar el impacto que tiene el manejo de las emociones en la adquisición de la lectoescritura de los alumnos de primer grado de una escuela primaria, ubicada en Fresnillo, Zacatecas, México. Es una investigación cualitativa y la propuesta se fundamenta en el enfoque actual del campo de formación académica, lenguaje y comunicación, así como de las áreas del desarrollo personal y social de educación socioemocional. Los resultados muestran que existe una relación positiva cuando los niños logran gestionar asertivamente las emociones básicas.
The impact of the human capital of women on the economic development of Guatemala
Authors: Bobek Vito , Habrich Verena , Horvat Horvat
Published: January 2024

Emerging markets are amongst some of the fastest-growing economies on the globe. However, they must enhance human capital to enable a nation's long-term development. The theory states that the increase in workforce participation highly impacts GDP per capita. Additionally, developing markets can grow even further if they increase women's rate in the labor market. The paper aims to determine the main obstacles for women in the job market and identify the impact of female participation on national development by conducting a case study analysis for Guatemala. The authors decided to apply a data triangulation approach and chose a mixture of three sources of data: documents, archival records, and interviews. Guatemala holds an unfavorable rank in the Global Gender Gap Index. The findings demonstrate that the workforce rate is increasing but still severely lower than the men's rate. In Guatemala, the high number of women in tertiary education does not translate into higher female workforce participation. The main issues are cultural stereotypes, limited access to the job market, and difficulties with combining work and childcare.
New decay results for Timoshenko system in the light of the second spectrum of frequency with infinite memory and nonlinear damping of variable exponent type
Authors: Al-Mahdi Adel M.
Published: January 2024

In this study, we consider a one-dimensional Timoshenko system with two damping terms in the context of the second frequency spectrum. One damping is viscoelastic with infinite memory, while the other is a non-linear frictional damping of variable exponent type. These damping terms are simultaneously and complementary acting on the shear force in the domain. We establish, for the first time to the best of our knowledge, explicit and general energy decay rates for this system with infinite memory. We use Sobolev embedding and the multiplier approach to get our decay results. These results generalize and improve some earlier related results in the literature.
Bound states of weakly deformed soft waveguides
Authors: Exner Pavel , Kondej Sylwia , Lotoreichik Vladimir
Published: January 2024

In this paper we consider the two-dimensional Schrödinger operator with an attractive potential which is a multiple of the characteristic function of an unbounded strip-shaped region, whose thickness is varying and is determined by the function R ∋ x ↦ d + ε f ( x ), where d > 0 is a constant, ε > 0 is a small parameter, and f is a compactly supported continuous function. We prove that if ∫ R f d x > 0, then the respective Schrödinger operator has a unique simple eigenvalue below the threshold of the essential spectrum for all sufficiently small ε > 0 and we obtain the asymptotic expansion of this eigenvalue in the regime ε → 0. An asymptotic expansion of the respective eigenfunction as ε → 0 is also obtained. In the case that ∫ R f d x < 0 we prove that the discrete spectrum is empty for all sufficiently small ε > 0. In the critical case ∫ R f d x = 0, we derive a sufficient condition for the existence of a unique bound state for all sufficiently small ε > 0.
Thermodynamic Calculation and Design for Desulfurization Wastewater Flue Gas Evaporation Zero Discharge System of the 1,000 MW Unit
Authors: Wang Qi , Xie Zheng , Wang Jianhua , Li Hongxiu , Yang Feng , Fan Yehui , Yan Caixia
Published: January 2024

For achieving zero discharge of desulfurization wastewater, the 2×1,000MW Unit of a power plant in Hunan adopts the process of “low-temperature flue gas evaporation and concentration+high-temperature flue gas bypass drying and curing”. The heat source of the low-temperature concentration tower comes from the flue gas (97°C) after the induced draft fan, for direct heat exchange in the tower through counter-current spraying of desulfurization wastewater, with the concentration ratio of 4 or above. The high-temperature flue gas bypass drying tower extracts high-temperature flue gas in front of inlet of the air pre-heater, and process the concentrated solution in the rotary atomizing and drying tower for zero discharge. This paper focuses on studying the thermodynamic calculation regarding the low-temperature flue gas evaporation and concentration system and high-temperature flue gas drying and curing system, so as to establish a balance of quality and capability, and calculate the basic data for system design by the trial method. Meanwhile, it further studies the quantitative calculation of impact of the zero discharge system on thermal and economic indexes such as boiler efficiency and standard coal consumption. The maximum processing rate of each 1,000MW Unit can reach 13m3/h, requiring 13.61% of low-temperature flue gas. The high-temperature drying tower is designed to dry the concentrated solution at a rate of 6m3/h, requiring 1.73% of high-temperature flue gas. As a result, the temperature of flue gas at the outlet of the air pre-heater can be lowered by about 3°C, the air temperature at the primary and secondary outlets can be lowered by about 1°C, the boiler efficiency can be decreased by 0.066%, and standard coal consumption can be increased by about 0.183g/kWh.
Research on Key Technologies of “Source-Grid-Load-Storage” Collaborative Regulation and Interaction in the Park Based on Digital Twin Technology
Authors: Zhou Desheng , Li Fan , Zeng Ping , Du Zhaoxin , Jiao Kaidan
Published: January 2024

As multiple types of loads and distributed resources such as electric vehicles, energy storage, and new energy power generation are widely accessible in the park, the characteristics of “source-grid-load-storage” interaction and multi-energy complementary coupling are increasingly apparent, and the traditional scheduling cannot meet the needs of accurate scheduling and real-time analysis of operation situation. The digital twin technology will greatly improve the intelligent level of the park’s comprehensive energy system by carrying out data acquisition and transmission, data processing and feature mining, operation scheduling and high-level decision-making for the park’s energy and power, and realizing the holographic mapping of the park’s comprehensive energy in the virtual information world. This paper firstly analyzes the principle and process of “source-grid-load-storage” operation situation deduction and multi-level scheduling of the park’s integrated energy system based on the digital twin technology, and secondly systematically expounds the key technologies of “source-grid-load-storage” collaborative regulation in the park from the aspects of aggregation modelling, rolling prediction, situation deduction, and optimal scheduling. Also, it points out the direction for the practical application of digital twin technology of integrated energy systems in the park. Finally, based on a comprehensive smart energy project on a campus in Shanghai, this article conducts an energy management experiment on a certain day, which proved that the system can maximize the consumption of new energy, make the heating mode more energy-saving and environmentally friendly, and effectively achieve peak shaving, valley filling, energy conservation and emission reduction.
Dynamic Modeling and Cushioning Performance Optimization of Double-Rod Viscoelastic Damper
Authors: Wang Shuo , Jia Guopeng , Wang Tenghui , Zhou Jialiang , Huo Junzhou
Published: January 2024

Dynamic modeling and cushioning performance analysis are the basis for damper design. The present aims to provide a dynamic model and optimization method for viscoelastic damper. For this purpose, a new double-rod viscoelastic damper for high-speed impact is taken as an example to demonstrate the design process. Firstly, the structure of double-rod viscoelastic damper is described to reveal its working principle. According to the properties of mastic material, a Kelvin model with variable stiffness is established by Simulink. Secondly, the influence of key component parameters on cushioning performance was analyzed for further optimization. Thirdly, based on Simulated Annealing algorithm, the viscoelastic damper system’s left piston rod diameter, piston thickness and inner cylinder diameter are chosen as the optimization variables. The optimized viscoelastic damper’s peak cushioning force is 31% lower and its cushioning effectiveness is 28% higher. The numerical results provide theoretical recommendations for the double-rod viscoelastic damper design.
Multi-Objective Path Planning for Parallel Parking Based on NSGA-II Algorithm
Authors: Tong Fengshuo , Zhang Zheng
Published: January 2024

In order to improve the safety, parking efficiency and smoothness of the parallel parking of driverless cars, for the parking process needs to meet the path curve curvature is small, parking distance is short, the lane occupation is less, through the analysis of the characteristics of the parallel parking working conditions, put forward a NSGA-II algorithm based on the parking starting point of multi-objective optimization method. Firstly, based on the analysis of vehicle kinematics model, the quintic polynomial curve is used to construct the parking path, and the analytical function between the parking start point and various indexes is established; then, the NSGA-II algorithm is used to optimize the constructed multi-objective model, so as to obtain the optimal optional set of the parking start point; finally, the results of the simulation experiments show that: in order to satisfy the various objectives of the synergistic optimization as well as constraints, the proposed method of the design of the parking start point can achieve the parking path curve of less curvature and shorter parking distance.
A Thin-Walled Parts Machining Method
Authors: Lv Guimei , Li Shuai , Tan Jinfu
Published: January 2024

In the field of production processing and manufacturing, often meet the thin-walled parts, this thin-walledt parts after processing, need to meet the part size, form tolerance parallelism requirements, in order to meet the part size, form tolerance parallelism requirements, in the chuck jaws installed on the self-made tooling, with a percentage table to find a good self-made tooling end runout, with self-made tooling positioning parts, quickly complete the processing of parts to improve production efficiency.
Novel Tuning Rules for Adjusting the Parameters of the PI-PD Controller for Controlling Unstable Processes
Authors: Alyoussef Fadi , Kaya İbrahim
Published: January 2024

Unstable processes plus time delays are very frequent in the industry. PI-PD controllers are used for controlling unstable industrial operations as they give more robust performance relative to PID controllers. However, designing the parameters of PI-PD controllers is quite difficult. Recently, the centroid of the stability region based on the Weighted Geometrical Center (WGC) approach has been proposed for overcoming the tuning difficulty of the controller. Nevertheless, the current version of WGC available in the literature is time-consuming. Thus, this paper proposes new simple tuning rules to implement WGC when it is used for computing the parameters of the PI-PD controller for controlling unstable processes with time delays. An isothermal continuous stirred tank reactor is used for evaluating the performance of the proposed method.
Research on Key Technology of Intelligent Veneer Patch Machine
Authors: Wang Yong , Ma Lili , Wang Chao , Wu Xincheng , Guo Yihong
Published: January 2024

With the increasing demand for efficient production and resource utilization in modern society, intelligent veneer repair machine, as an important veneer production equipment, has been widely concerned. In this paper, the current research status and existing problems of veneer mending machine are summarized and analyzed. On this basis, the paper studies and analyzes the key technologies of the intelligent single board patch machine, including image recognition, path planning, mechanical control, etc., which provides strong support for the design and optimization of the intelligent single board patch machine, and promotes its wide application in industrial production.
Research on Key Technologies of Pneumatic Flexible Joints for Robots
Authors: An Chao , Luo Tianhong , Korotkov A.N. , Long Chanjuan , Wu Guangyong , Chen Qing
Published: January 2024

As a direct carrier of flexible motion for robots, the flexible structure characteristics of flexible joints essentially determine the flexible motion performance of robots. This article first introduces the research status of the pneumatic flexible joints at home and abroad. Then, starting from the modeling methods of pneumatic artificial muscles, the geometric models and phenomenal models were compared and analyzed. Finally, the research progress and achievements on pneumatic flexible joint control were introduced in detail. This paper has certain practical significance for the research of pneumatic flexible joints.
Application of Neighbor Algorithm and Analytic Hierarchy Process in Similar Case Retrieval
Authors: Chen Yinjuan , Zhang Chunyan , Wang Yanyan
Published: January 2024

A product similarity case retrieval method based on Analytic Hierarchy Process and Nearest Neighbor Algorithm was proposed to solve the problems of low utilization of historical cases, long design cycles, high costs and high labor consumption in design and manufacturing enterprises and was applied to the rapid design practice of box refrigerated trucks. The results indicate that this method can improve the retrieval efficiency of similar order cases for box refrigerated truck design and the accuracy of push results.
A Local Path Planning Method of Multi-AGV Systems
Authors: Liu Yi , Yao Haiyan , Tang Zhipeng , Guo Qiang , Zhang Xufeng , Shen Haofeng
Published: January 2024

The dynamic window approach (DWA) algorithm is a local path planning algorithm based on velocity space sampling. Compared with the traditional DWA algorithm, this study employs visual sensors to construct a two-dimensional map, the relative distance and relative angle are obtained by transmitting each other’s speed and position information through the mutual communication between AGVs (Automated Guided Vehicles). The traditional evaluation function is improved to adapt to the local path planning in the case of multiple AGVs, and some special cases are processed in detail. Finally, the path planned by the DWA algorithm is optimized and tracked via designing model predictive control (MPC) algorithms for the AGVs.
Design and Application of Tunnel Service Safety Monitoring and Early Warning System Based on Multi-Sensor
Authors: Jiang Hongliang , Huang Hui , Lu Chaobo , Yang Tingwei
Published: January 2024

Considering the service life and operation safety of the tunnel structure, it is necessary to carry out research on the development of tunnel service safety monitoring and early warning system, explore the actual working state of the tunnel in real time, effectively monitor the disease of the tunnel structure and warn in time.In this paper, the design of tunnel service safety monitoring and early warning system is discussed and studied based on the comprehensive consideration of how to obtain the disease characteristics, spatial location, mechanical properties and related dynamic changes of the key parts of the tunnel in real time, aiming at the diseases such as water leakage and deformation in the regular detection of the tunnel during the operation period. A tunnel service safety monitoring and early warning system based on multi-sensor is recommended, which can provide a favorable technical reference for the applicability and rationality design of tunnel service safety monitoring and early warning system.
Text classification method based on dependency parsing and hybrid neural network
Authors: He Xinyu , Liu Siyu , Yan Ge , Zhang Xueyan
Published: January 2024

Due to the vigorous development of big data, news topic text classification has received extensive attention, and the accuracy of news topic text classification and the semantic analysis of text are worth us to explore. The semantic information contained in news topic text has an important impact on the classification results. Traditional text classification methods tend to default the text structure to the sequential linear structure, then classify by giving weight to words or according to the frequency value of words, while ignoring the semantic information in the text, which eventually leads to poor classification results. In order to solve the above problems, this paper proposes a BiLSTM-GCN (Bidirectional Long Short-Term Memory and Graph Convolutional Network) hybrid neural network text classification model based on dependency parsing. Firstly, we use BiLSTM to complete the extraction of feature vectors in the text; Then, we employ dependency parsing to strengthen the influence of words with semantic relationship, and obtain the global information of the text through GCN; Finally, aim to prevent the overfitting problem of the hybrid neural network which may be caused by too many network layers, we add a global average pooling layer. Our experimental results show that this method has a good performance on the THUCNews and SogouCS datasets, and the F-score reaches 91.37% and 91.76% respectively.
Enhanced model-driven web application development with code generation using deep learning technique
Authors: V Muthumanikandan , George Timothy Thomas , Harendra Rupin Kirtan
Published: January 2024

Advancements in modern technology have led to an endless reliance on the Internet. This has created a great demand for the fast and accurate development of web applications. Web development has benefitted from programming approaches such as Model-Driven Web Engineering (MDWE). MDWE allows developers to choose pre-defined models and utilize them for their requirements. This kind of structural blueprinting, called wireframing, enables efficiency in software development. However, these techniques are seldom understood by people without a technological background. Hence, much of the coding central to a project remains the responsibility of a few tech-educated people. This work proposes an approach that offloads some of the typing to a machine-based code generator. This has been achieved by pairing MDWE methods with Deep Learning capabilities. This ensures a less coding-intensive web development methodology that can be utilized even by non-web developers. This work makes several contributions to improving overall MDWE methods.
An effective deep learning scheme for android malware detection leveraging performance metrics and computational resources
Authors: Wajahat Ahsan , He Jingsha , Zhu Nafei , Mahmood Tariq , Nazir Ahsan , Ullah Faheem , Qureshi Sirajuddin , Osman Musa
Published: January 2024

With the rise in the use of Android smartphones, there has been a proportional surge in the proliferation of malicious applications (apps). As mobile phone users are at a heightened risk of data theft, detecting malware on Android devices has emerged as a pressing concern within the realm of cybersecurity. Conventional techniques, such as signature-based routines, are no longer sufficient to safeguard users from the continually evolving sophistication and swift behavioral modifications of novel varieties of Android malware. Hence, there has been a significant drive in recent times towards leveraging machine learning (ML) models and methodologies to identify and generalize malicious behavioral patterns of mobile apps for detecting malware. This paper proposes Deep learning (DL) based on new and highly reliable classifier, deep neural decision forest (DNDF) for detecting Android malware. Two datasets were used: Drebin and 2014 for comparison with previous studies, and TUANDROMD collected in 2021 for detecting the latest threats with advanced obfuscation and morphing techniques. We have also calculated the time-consuming and computational resources taken by our classifier. After conducting a thorough performance evaluation, our proposed approach attained impressive results on two datasets. The empirical findings reveal that the proposed DBN and DNDF models demonstrated exceptional performance, achieving an accuracy of 99%, a sensitivity of 1, and an AUC value of 0.98%. The metrics we obtained are comparable to those of state-of-the-art ML-based Android malware detection techniques and several commercial antivirus engines.
International trade privacy data management system combining Internet of Things blockchain
Authors: Hua Xia , Zhang Hongzhen
Published: January 2024

Currently, international trade (Int’l Trade) often faces risks such as privacy data leakage and transaction security during transactions, which seriously affect the protection of privacy data in trade. Therefore, this article used the Internet of Things and blockchain to attempt to address these risk issues and improve the security of privacy data. By analyzing the security threats in Int’l Trade transactions, this article used additive aggregation functions to analyze the protection effect of privacy data and studied the core issues of Int’l Trade privacy data. This article analyzed the privacy protection model using the Internet of Things blockchain and proposed corresponding Int’l Trade privacy data protection strategies. Among the five surveyed enterprises, data audit and data backup were all above the standard value, while data query only exceeded the standard value for enterprises 2, 3, 4, and 5. The average abnormal value of the enterprise in data anomalies decreased by 0.06 compared to the standard value. Through experimental testing, it has been found that Internet of Things blockchain can effectively improve the privacy data protection effect of Int’l Trade and promote the convenience of Int’l Trade transactions.
Performance evaluation of routing in flying ad-hoc networks using nature-inspired algorithms
Authors: Yadav Amrita
Published: January 2024

Flying ad-hoc network (FANET) has been growing rapidly and can utilized in sectors such as disaster response, healthcare, military, agriculture, and more. These networks utilize Unmanned aerial vehicles (UAVs), required advanced routing algorithms for effective communication. Due to the lack of suitable routing algorithms, FANETs often encounter communication issues. This article explores the integration of Nature-inspired based routing algorithms into the FANET framework. Specifically, it examines the two distinct algorithms namely, swarm intelligence and genetic algorithms. Simulated results demonstrate the superiority of the proposed algorithm over standard benchmark schemes. Validation of the proposed algorithm using performance parameters, such as throughput, reveals significant improvements over benchmark schemes. Moreover, the packet delivery ratio for providing resources to FANET users is 98% while achieving minimum end-to-end delay for the proposed scheme. These findings underscore the potential of Nature-inspired algorithms (NIAs) across various scenarios within the FANET framework.
Under-Diagnosis of Dementia with Lewy Bodies in Individuals Racialized as Black: Hypotheses Regarding Potential Contributors
Authors: Armstrong Melissa J. , Barnes Lisa L.
Published: January 2024

Dementia with Lewy bodies (DLB) is one of the most common degenerative dementias after Alzheimer’s disease (AD) dementia. DLB is under-diagnosed across populations but may be particularly missed in older Black adults. The object of this review was to examine key features of DLB and potential associations with race in order to hypothesize why DLB may be under-diagnosed in Black adults in the U.S. In terms of dementia, symptoms associated with high rates of co-pathology (e.g., AD, vascular disease) in older Black adults may obscure the clinical picture that might suggest Lewy body pathology. Research also suggests that clinicians may be predisposed to give AD dementia diagnoses to Black adults, potentially missing contributions of Lewy body pathology. Hallucinations in Black adults may be misattributed to AD or primary psychiatric disease rather than Lewy body pathology. Research on the prevalence of REM sleep behavior in diverse populations is lacking, but REM sleep behavior disorder could be under-diagnosed in Black adults due to sleep patterns or reporting by caregivers who are not bed partners. Recognition of parkinsonism could be reduced in Black adults due to clinician biases, cultural effects on self-report, and potentially underlying differences in the frequency of parkinsonism. These considerations are superimposed on structural and systemic contributions to health (e.g., socioeconomic status, education, structural racism) and individual-level social exposures (e.g., social interactions, discrimination). Improving DLB recognition in Black adults will require research to investigate reasons for diagnostic disparities and education to increase identification of core symptoms in this population.
RETRACTED: 3D path planning in threat environment based on fuzzy logic
Authors: Liu Ziwei , Xu Ziyu , Zheng Xiyu , Zhao Yongxing , Wang Jinghua
Published: January 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.