bluuebunny/crossref_metadata_2025 huggingface dataset:
ENGLISH MOVIES AS A MOTIVATIONAL TOOL IN ENHANCING STUDENTS' LISTENING SKILLS
Authors: Ananda Anisa Rizky , Pratolo Bambang Widi
Published: October 2024

Movies have been examined as one of the most exciting media that can help students learn listening skills. However, there is limited study on using English movies to enhance students' motivation in listening skills. This research aimed to determine students' perceptions of using movies as a motivational tool in enhancing students' listening skills. This research used qualitative study. The subjects of this study were 31 eleventh-grade students of class BP A at SMK Muhammadiyah Prambanan, Yogyakarta. In collecting data, the researchers used semi-structured interviews where open-ended questions allowed the researchers to freely ask the students and a questionnaire comprising ten items related to students’ responses regarding their motivation in learning to listen. Researchers prepared and organized research data for analysis, which involved compiling and organizing recordings into transcripts and participant observation notes. Most students showed that they were more interested and motivated in learning to listen to English movies. The students felt fun, interested, enjoyed, and more focused during the learning process. They got new vocabulary and understood what was being said in the movies. Pedagogically, this study implies that teachers should consider attractive learning media, especially for teaching listening, to enhance students’ motivation and interest in learning English.
MOTIVATION AND AFFECTIVE FACTORS TO LEARN ENGLISH AS SECOND LANGUAGE
Authors: Eragamreddy Nagamurali
Published: October 2024

This study explores the complex interplay between motivation and affective factors, emphasizing these components' critical role in the effectiveness of English as a second language (ESL) learning. Comprehending these processes enables educators to establish conducive situations that foster language acquisition. The study investigates the reasons behind ESL learners, ranging from authentic curiosity about the language and culture to pragmatic professional objectives. It examines how motivation interacts with attitudes, emotions, and anxiety levels during learning. To examine research on affective factors and motivation in ESL learning, using a qualitative research approach, the researcher reviewed the literature and examined academic books and articles about the motivations, challenges, emotional experiences, and cultural backgrounds of ESL learners, making sure to include relevant details and cite all relevant sources by American Psychological Association (APA) guidelines. The results highlight the relationship between affective factors and motivation. Anxiety may impede language acquisition, whereas positive attitudes and internal motivation drive the process. The study emphasizes how crucial it is to have a welcoming classroom that considers cultural diversity and promotes a feeling of community. Policymakers and educators can benefit greatly from the insights this research induces. Educators may customize lessons to suit student requirements and learning styles by recognizing the interaction between affective factors and motivation. This will eventually result in a more positive and practical ESL learning experience for all students.
Effectiveness of Risk Management through Risk Maturity Measurement: A Study at PT Pelabuhan Indonesia
Authors: Utami Lestari , Pasaribu Rina Djunita
Published: October 2024

This research aims to evaluate the effectiveness of risk management at Pelindo post-merger and assess its risk management maturity level. Additionally, the study intends to offer relevant recommendations for the company in developing its risk management strategy and implementation. The research adopts a qualitative descriptive approach with a case study strategy, where the researcher analyzes an organization as a unit of analysis in a natural setting without manipulation. Data collection techniques include interviews with representatives from the Group Risk Management, Governance, and Compliance as the corporate-level risk managers. Document analysis includes textbooks, academic and professional journals, theses, articles, and company department reports. Data analysis follows the Miles and Huberman model. The research indicates that the maturity level of risk management at Pelindo post-merger has reached the good practice phase with a score of 2.94. This reflects a consistent application of risk management in accordance with industry standards, although its effectiveness varies. The organizational structure, framework, processes, and risk culture have begun to be implemented. Recommendations for improvement include strengthening the risk culture, enhancing the effectiveness of risk management functions, and aligning risk strategies with the ERM transformation plan for better effectiveness and compliance.
Alternatív és hagyományos hajtású autóbuszokkal kiszolgált közlekedési rendszer gazdasági fenntarthatóságának összehasonlító-elemzése
Authors: Lakatos András , Tóth János , Török Ádám
Published: October 2024

Napjaink gazdasági, társadalmi környezete számos problémával, kihívással küzd (pl. energiaválság, infláció, környezetvédelem), amelyek döntő része kétirányú kölcsönhatásban áll a közlekedési rendszerrel is. A kutatók és az érintett szervezetek az egyes mobilitási alrendszerek tekintetében számos megoldási javaslatot, akciótervet dolgoztak ki a „problémafelhő” mérséklésére, azonban ezek többnyire komplex megoldás helyett egy technológiai, gazdasági vagy ipari megoldásra koncentrálnak.
Expulsión sin salida: la guerra en Gaza, un año después
Authors:   Investigadora sénior, CIDOB, Blanca Garcés Mascareñas , Porfirione Giulia ,   Asistente de investigación, CIDOB
Published: October 2024

El primer año de guerra en Gaza ha llevado al desplazamiento forzado del 85% de la población. A pesar de ser un elemento central del conflicto, existen pocos análisis desde esta perspectiva. La singularidad de este desplazamiento es triple: el conflicto tiene como objetivo la expulsión; el propósito de la expulsión es la expansión sobre el territorio; y la expulsión pretende ser definitiva, descartando la posibilidad del retorno. Estos tres aspectos han sido una constante en la historia del pueblo palestino desde la creación del Estado de Israel en 1948. Gaza ilustra el fracaso estrepitoso del derecho internacional, tanto en el ámbito humanitario como en el del asilo. ¿Qué ha fallado? ¿Cómo explicar lo injustificable?
Strongly $\mathcal{VW}$-Gorenstein $N$-complexes
Authors: Guo Wenjun , Jia Honghui , Zhao Renyu
Published: October 2024

Let $\mathcal{V},\mathcal{W}$ be two classes of $R$-modules. The notion of strongly $\mathcal{VW}$-Gorenstein $N$-complexes is introduced, and under certain mild hypotheses on $\mathcal{V}$ and $\mathcal{W}$, it is shown that an $N$-complex $X$ is strongly $\mathcal{VW}$-Gorenstein if and only if each term of $X$ is a $\mathcal{VW}$-Gorenstein module and $N$-complexes ${\rm Hom}_{R}(V,X)$ and $ Hom_{R}(X,W)$ are $N$-exact for any $V\in\mathcal{V}$ and $W\in\mathcal{W}$. Furthermore, under the same conditions on $\mathcal{V}$ and $\mathcal{W}$, it is proved that an $N$-exact $N$-complex $X$ is $\mathcal{VW}$-Gorenstein if and only if $\mathrm{Z}_{n}^{t}(X)$ is a $\mathcal{VW}$-Gorenstein module for each $n\in\mathbb{Z}$ and each $t=1,2,\ldots,N-1$. Consequently, we show that an $N$-complex $X$ is strongly Gorenstein projective (resp., injective) if and only if $X$ is $N$-exact and ${\rm Z}^t_{n}(X)$ is a Gorenstein projective (resp., injective) module for each $n\in\mathbb{Z}$ and $t=1,2,\ldots,N-1$.
Effect of polypropylene fibres on the shear strength of fine-grained soil
Authors: Zydron Tymoteusz , Gruchot Andrzej , Zawiła Dominika
Published: October 2024

This paper presents the results of shear strength tests of fine-grained soil reinforced by randomly oriented fibres. The tests were carried out in a direct shear apparatus on samples with a diameter of 100 mm and a height of 20 mm. The samples were formed directly in the apparatus box at a natural moisture content and two values of the degree of compaction (IS = 0:79 and 0.90). The studies were carried out for samples of natural moisture content and for soaked ones. The two types of polypropylene fibres were used: monofilament and fibrillated (of traded names Fibermesh 300-e3 and SikaCem Fiber-12, respectively). The fibre content was 0.25; 0.50 and 1.00% by the weight of the dry soil. The results showed that the presence of fibre within the soil increased its the shear strength. The improvement of the shear strength was related to the type of reinforcement, its content and the soil parameters. The maximum increase in shear strength was 47% compared to the shear strength of the unreinforced soil. The increase in shear strength values were related mainly to the increase in the angle of internal friction of the soil. It was found that as the degree of compaction of the soil increases, the higher enhance of the shear strength of reinforced soil occurs. It was also found that the improvement of shear strength of reinforced soaked samples was more significant than for un-soaked ones.
Multi-objective optimization of construction management of expressway engineering based on improved particle swarm optimization algorithm
Authors: Liu Xu
Published: October 2024

Engineering management is an extremely important aspect of construction engineering, and a better management approach can greatly enhance the production profits of enterprises. Traditional management optimization schemes cannot adapt to current technological needs due to their inability to effectively consider the impact of each factor. Therefore, a construction management optimization scheme combining improved particle algorithm and multi-objective optimization was proposed. The improved particle algorithm enhances its performance by introducing adaptive weight and multi-objective optimization ideas. These studies confirmed that the predicted direct cost savings for the project were around 1 million yuan. The total construction period of project was optimized to 380 days, saving 34 days. The optimization technology not only reduced construction costs, but also reflected the problems that could be improved during this construction process. This study contributes to achieving multi-objective balance in the construction management process, effectively improving project efficiency, reducing project costs and risks, and providing scientific support for construction decision-making.
Evaluating methods for logging the pore structure of tight sandstone reservoir in Chang 6 member of the Yanchang Formation, Ordos Basin
Authors: Zhong Gaorun , Li Yajun , Tan Yuhan
Published: October 2024

Pore structure is a key parameter used to evaluate reservoir quality. At present, experimental method is the most important method to analyze reservoir pore structure. However, coring data may be limited, and it is not possible to perform experimental analyses on all cores. Therefore, the researchers explored the use of logging techniques to study the pore structure of reservoirs. The relationship between pore geometry index (PGI), pore permeability and mercury injection parameters was analyzed based on mercury injection experiment, thin slice analysis, production test data and well logging data. These results can then determine the response characteristics of the logging parameters that correspond to different pore structures and establish a method of modeling the PGI through a multiple parameter regression and neural network method. This research shows that: (1) PGI can quantitatively characterize pore structure, and the maximum pore throat radius, displacement pressure and flow unit index have the highest correlation with PGI, which can be accurately characterized by practical formulas; (2) Natural gamma ray, natural potential amplitude difference, acoustic transit time, density, compensated neutron, deep and shallow resistivity logging data can reflect the quality of the reservoir pore structure. However, there are limitations in evaluating reservoir pore structure with a single logging parameter. Multi-parameter regression method and neural network method realize the quantitative calculation of pore structure from the perspective of multi-parameter and nonlinear. (3) The neural network method and multiple parameter regression method are used to study the pore structure of reservoir and realize the continuous quantitative calculation of pore structure index in a single well. It can be used in uncored analysis Wells and as one of the parameters to evaluate reservoir pore structure.
The influence of slag content on the mechanical properties of high-strength concrete
Authors: Zhao Xiaochun , Zhao Meijiu
Published: October 2024

In light of the current situation where excessive amounts of excavated earth from subway tunnel construction are being stacked with low utilization and value, this study used residue as a mineral admixture to investigate the effects of different proportions of residue content (0%, 2.5%, 5.0%, 7.5%, and 10.0%) on the workability and mechanical properties of C50 concrete. The results indicate that: (1) The initial slump and slump loss of C50 concrete decrease gradually as the residue content increases. (2) The compressive strength of C50 concrete with varying residue contents is lower than the control group at early stages (3d, 7d), while it is higher than the control group at 28d. There exists an optimal content of residue for improving C50 concrete compressive strength, and it is found that the highest compressive strength at 28d is achieved when the residue content is 7.5% of the cement content. (3) The microscopic structure of C50 concrete with different residue contents at 28d shows that as the residue content increases, the microscopic structure of C50 concrete gradually becomes more compact and the porosity decreases.
Application of BIM model based on improved region growth algorithm in building reinforcement and renovation
Authors: Du Cong , Wen Yi , Ren Lijian
Published: October 2024

In response to the current issue of poor modeling performance of Building Information Modeling for building models, a new Building Information Modeling based on an improved region growth algorithm is proposed. This method improves the region growth algorithm by introducing machine learning technology, and utilizes the improved algorithm to perfect the building model, thereby improving the efficiency of Building Information Modeling. The performance comparison experiment of the improved algorithm shows that its accuracy is 92.3%, respectively, which are lower than the comparison algorithm. Subsequent empirical analysis found that the robustness rating of the renovated building with the new Building Information Modeling was 94.06, significantly higher than the traditional model. The above results indicate that the new Building Information Modeling proposed in the study has high efficiency and accuracy in building reinforcement and renovation. This method can provide a new solution and idea for the field of building reinforcement and renovation.
Construction scheduling optimization in the prefabricated buildings through multi-objective GA on the principle of sustainable development
Authors: Yang Chuanguang
Published: October 2024

To save resources and protect the environment to the maximum extent, green buildings came into being. Among them, prefabricated building is the only way for traditional buildings to transform into green buildings. The construction scheduling of traditional buildings is mostly focused on the control of on-site resources, which cannot scientifically and reasonably complete the construction goal of prefabricated building. In response to the above issues, a resource constrained scheduling model based on genetic algorithm is designed by sustainable development, and an improved non dominated sorting genetic algorithm with elite strategy is introduced. It is used to solve the time cost weight balance scheduling model and the low-cost low-carbon scheduling model. The research results indicated that this algorithm had a reverse generation distance value of 0.35 when evaluated 4000 times, and a super volume value of 0.43 when evaluated 10000 times. In the application of a certain affordable housing project, the resource constrained scheduling model based on genetic algorithm can shorten the assembly phase to 8 days, and the low-cost low-carbon scheduling model using proposed algorithm can reduce the transportation cost and carbon emission duration of transportation vehicles to 22501 yuan and 93.75 h, respectively. Resource constrained scheduling models based on genetic algorithms and low-cost low-carbon scheduling models have potential in the field of green buildings, which can achieve significant results in saving time, cost, and reducing carbon emissions. These research results can provide reference for the promotion and practice of green buildings, and guide the formulation and implementation of relevant policies.
Endometriosis – hormones and treatment
Authors: Obrycka Patrycja , Soczynska Julia , Gawelczyk Wiktor , Tomecka Paulina , Mozdziak Paul Edward
Published: October 2024

Endometriosis is a prevalent condition, affecting 10-15% of women of reproductive age and approximately 70% of those with chronic pelvic pain. An estimated 176 million women worldwide are affected by this disease. The condition occurs predominantly between menarche and menopause, with peak incidence between the ages of 25 and 45. Endometriosis is characterized by the presence of endometrial-like tissue outside the uterine cavity, leading to the formation of lesions most commonly in the ovaries but also in the fallopian tubes, gastrointestinal tract, and occasionally in distant locations like the pleura and central nervous system. Symptoms include chronic pelvic pain, heavy and painful menstrual periods, dyspareunia, painful urination, and defecation. Diagnosis involves a combination of medical history, physical examination, imaging techniques, and the gold standard, diagnostic laparoscopy. There is an average delay of 6.7 years between symptom onset and diagnosis, often due to variable and confusing symptoms resembling other conditions. The pathogenesis of endometriosis involves genetic, hormonal, and environmental factors, with significant roles played by estrogens and progesterone. Treatment strategies focus on managing symptoms through pain relief, hormonal therapy, and surgical interventions, although no permanent cure exists. Hormonal imbalances, particularly the interaction of progesterone and estrogens, play a crucial role in disease progression. Current research explores various treatment options, including hormonal therapy, nonsteroidal anti-inflammatory drugs, antioxidants, and surgical methods to improve the quality of life for patients.
Construction of a Smart Learning Platform for Kindergarten Preschool Education Empowered by Digital VR Technology
Authors: Shi Shaomin , Shi Shaowei , Wang Baobao
Published: October 2024

Accompanied by the rapid development of science and technology, the application of digital VR technology in kindergarten and preschool education has gradually become a hot spot of educational innovation. In this paper, with the help of digital VR technology, we build an intelligent learning platform full of exciting and exploratory features to provide kindergarten children with a more vivid and intuitive learning experience. The smart learning platform for preschool education consists of the management module, teaching resource base module, collaborative learning module, and intelligent evaluation module. Virtual reality technology is utilized on the platform to create a virtual teaching module that enhances the teaching method. Then the construction of the virtual classroom three-dimensional model is enhanced and improved. A geometric curvature high-fidelity three-dimensional model accelerated drawing method is proposed. The triangle folding algorithm is improved based on the improved quadratic error metric to enhance the quality of the three-dimensional drawing of the virtual classroom. Through the application of virtual teaching in teaching experiments, it has been found that it has significantly improved children’s cognitive ability and creativity. The percentage of parents’ satisfaction with the teaching effect of the smart learning platform reached 74.2%, indicating that parents are more likely to recognize the kindergarten’s application of the smart learning platform.
Topological characterization of the microstructure of magnesium alloy materials based on complex networks
Authors: Yang Yongxin , Shi Yanhong , Feng Yashan , Li Jiang , Yang Shaolong , Liu Huazhou , Qu Chenming , Wei Baoli
Published: October 2024

Magnesium alloys, as the lightest commercial metal engineering structural materials, have good application prospects in the automotive, communication equipment, aerospace, and military industries because of their light specific gravity, high strength properties such as specific strength and stiffness, shielding from electromagnetic radiation, and easy recycling. In this paper, starting from the density and microstructure of magnesium alloy, the mechanical properties and corrosion resistance of magnesium alloy are proposed to measure the indexes, and the corresponding prediction model is constructed. Then, fine-crystal magnesium alloys are prepared sequentially by ingot casting and isometric channel extrusion, and then the microstructure of magnesium alloys is observed by scanning electron microscope and transmission electron microscope to extract the micro-parameters of magnesium alloys. A martensitic phase transition topology model was introduced to determine the macroscopic shape strain of magnesium alloy crystals. Complex network analysis is used to quantify the topological structure parameters of a magnesium alloy network in terms of degree, clustering coefficient, and average path length. Finally, the correlation between the macroscopic features and microstructure of magnesium alloy is explored with the obtained data, and the mechanical and corrosion resistance properties of magnesium alloy are analyzed through simulation experiments by combining them with the constructed prediction model. The microstructural topological characteristic parameters of magnesium alloys show that when the pressure is 50 kPa, the average path length after weighting decreases from 36.012 × 10−3 to 34.015 × 10–3, and the force transfer efficiency is gradually increasing. The AZ31 alloy samples obtained from casting in this paper have a capacitive arc diameter of about 1600 Ω-cm² and the best corrosion resistance among the tested samples.
Multidimensional data processing and tensor analysis for large-scale power grids in a parallel computing framework
Authors: Liu Changsheng , Zhou Mo
Published: October 2024

Grid data is compressed and stored without processing. There are problems of large compression errors and long running time, which affect the compression and storage effect. Therefore, this paper proposes a method for storing grid data using parallel computing frameworks. While drawing on the task scheduling strategy of MapReduce distributed computing framework, combined with the current situation of centralized deployment of data in the information system of the State Grid Corporation, an efficient tensor-based parallel computing method is proposed. The massive multivariate and heterogeneous smart grid data is compressed using the Tucker decomposition method for big data compression of smart grids. This method’s line resistance and reactance dynamic parameters have average values of 0.033 and 0.520, respectively, which are very close to the actual values. The method used in this paper has a high degree of accuracy in estimating resistance dynamic parameters. It possesses certain practical application performance. By predicting the daily average load of the North China Power Grid, the accuracy of the prediction data of the gridded load analysis is close to the actual value, indicating the superiority of the grid multidimensional data processing method designed in this paper.
Topology optimization-based visual element configuration method for exhibition display design
Authors: Wang Donglin , Chen Yijun
Published: October 2024

The spatial characteristics and structure of the exhibition display design are summarized through the analysis of the topological relationship of the exhibition display spatial structure, and the RCTG algorithm in IBM technology is applied to extract the above-described exhibition spatial topological relationship. Based on the actual situation of the exhibition design, the structural space constraint relationship is determined, and at the same time, the model API provided by the BIM platform is called to construct the component model based on the topological constraint relationship. Aiming at the problems of large differences in lighting distribution and large differences in color in the process of exhibition display design, we optimize such problems through visual element processing operations and realize visual element configuration from three aspects: color, picture, and white space. A case study of the exhibition designed in this paper is conducted by setting the model parameters. The results present that in the simulation analysis of scene combination optimization when, the entry rate grows to 18vis./min, at this time, the user’s overall exhibition viewing satisfaction reaches the peak, and the optimal limit number of people is 46. In addition, in the lighting analysis of the side interface + top interface of the exhibition, 30% high side windows + 25% decentralized strip skylights (B1+F1) have the highest values of each lighting, the proportion of area with a lighting coefficient of >2% (99.497%), the proportion of area with an illuminance of 400lux (91.571), the average lighting coefficient (7.046), and the uniformity of lighting (0.192). This study verifies the practical feasibility of research on exhibition display design based on topology optimization through experimental analysis.
Teacher career planning model and career development path optimization strategy in educational management
Authors: Liang Yuansong
Published: October 2024

Teachers’ career planning is one of the areas of focus in education management. This paper uses hyperplane and Lagrange optimization to classify samples and then constructs a prediction model of teachers’ career plans. Based on this, we analyzed the factors that influence teachers’ career satisfaction using both factor analysis and regression analysis techniques. The results indicated that an increase of 1 unit in career exploration, interpersonal relationships, ability improvement, and self-awareness led to a corresponding increase in teachers’ career satisfaction of 0.688, 0.242, 0.153, and 0.121 units, respectively. Therefore, this paper proposes to optimize teachers’ career development paths in terms of self-awareness of professional development, interpersonal communication, faculty management optimization, and full use of prediction models.
Research on active coordination control mechanism of provincial and local AGC in power system based on deep learning technology
Authors: Liao Dapeng , Li Hongkui , Wang Jiangtao , Zeng Xianzhen , Wang Xiaowei
Published: October 2024

AGC is the main means to maintain the active power balance of the power system and ensure the system frequency quality. In this paper, deep learning techniques are used to optimize AGC active coordinated control. The linearized model simplifies the dynamic system at the operating point, and in the AGC coordinated control system, the model parameters are estimated using the recursive least squares method. The discrete reinforcement learning DQN algorithm is used to construct the AGC optimization model, and the continuous reinforcement learning PPO algorithm is used to propose the optimization strategy for the AGC active coordinated control, which solves the problems of discretization error as well as dimensional catastrophe. The AGC active coordinated control test is being carried out at power station A in the northwest region of China as the study site. After the optimization, the average regulation rate, average response time, and average regulation accuracy of Generation Station A are improved to 0.4995, 0.7835, and 0.8082, respectively, and the comprehensive FM performance index is improved by 22.08% compared with that before the optimization. The economic benefits indexes such as FM capacity and FM mileage compensation revenue fee are improved, and the average response time qualification rate and regulation rate in October-December after optimization are improved by 5.87% and 6.38%, respectively, compared with the pre-optimization period.
Birds of prey in the collections of the Šariš Museum in Bardejov (Slovakia)
Authors: Csanády Alexander , Jászay Tomáš , Cibuľková Veronika
Published: October 2024

In this study, data presented of birds of prey (Accipitriformes, Falconiformes) specimens deposited in the collection of the Šariš Museum in Bardejov (SMB), Slovakia. The work builds on previous studies highlighting the importance of the SMB museum collections, but also the importance of the museum on a global scale. In total, data of 437 individuals belonging to 22 species from 86 sites in eastern Slovakia were evaluated. Individuals were acquired in 1954–1985 (and two specimens of Buteo buteo in 1998), but mainly in 1962 (n = 63, 14.4%) and 1963 (n = 32, 7.3%). Moreover, one specimen of the Common Buzzard (B. buteo) had signs of „a dilution (isabel)” and one bird of the Western Marsh Harrier (Circus aeruginosus) had signs of „melanism“. The importance of the work also includes cataloguing, which provides important data on regional museums and their collections that can be significant not only regionally but also globally. Moreover, in the SMB collections there are also 20 specimens of 15 species of exotic Accipitriformes and Falconiformes [1 ex. – Accipiter striatus; 1 ex. – Buteo buteo; 1 ex. – B. ventralis; 1 ex. – Buteogallus gundlachii; 1 ex. – B. meridionalis; 1 ex. – Caracara plancus; 1 ex. – Elanoides forficatus; 5 ex. – Falco sparverius; 1 ex. – Geranoaetus polyosoma; 1 ex. – Gyps africanus; 1 ex. – Haliaeetus albicilla; 2 ex. – Ictinia plumbea; 1 ex. – Pandion haliaetus; 1 ex. – Rupornis magnirostris; 1 ex. – Vultur gryphus] originating mainly from Argentina and Cuba as well from Africa and Hungary.
Leveraging Lean and Green Supply Chain Practices for Sustainable Supply Chain Performance: The Moderating Role of Environmental Orientation
Authors: Aladaileh Mohammad J. , Aladayleh Khaled J. , Lahuerta-Otero Eva , Cordero-Gutiérrez Rebeca
Published: October 2024

This study investigates the impact of lean and green supply chain practices on business process performance and sustainable supply chain performance. The research utilises the resource-based view (RBV) theory to construct a conceptual model wherein lean and green supply chain practices are employed to augment business processes and sustainable performance. Concurrently, dynamic capabilities theory is applied to signify an organisation’s capacity to adapt and evolve in response to internal and external pressures from customers and competitors. The conceptual model is validated using structural equation modelling with a sample of 170 supply chain practitioners from the apparel and textile supply chain in Jordan. Results indicate that lean practices exhibit no direct impact, whereas green practices significantly influence business process performance and indirectly affect sustainable supply chain performance. Business process performance does not mediate the relationship for lean practices, but it does so for green practices. Moreover, the environmental orientation of both competitors and customers negatively moderates the impact of green practices on business processes and sustainable supply chain performance. These findings contribute to existing literature and underscore the crucial role of green supply chain practices in enhancing sustainable supply chain performance in the apparel and textile industry.
Assessment of correlation between lipid ratios and body mass index in patients with type 2 diabetes mellitus in Sarajevo, Bosnia and Herzegovina
Authors: Plessis Carla Devantier-Du , Saric Nadina , Plessis Benjamin Devantier-Du , Zaciragic Asija
Published: October 2024

Objective. Studies that have evaluated correlation between body mass index (BMI) and novel lipid indices such as triglycerides (TG)/high-density lipoprotein-cholesterol (HDL-C), total cholesterol (TC)/HDL-C, and low-density lipoprotein cholesterol (LDL-C)/HDL-C in type 2 diabetes mellitus (T2DM) are scarce. Hence, the aim of the present study was to explore the correlation between BMI and novel lipid indices in Bosnian patients with T2DM.

Methods. Present study included 117 patients with T2DM (mean age: 66.51 years) and 68 controls (mean age: 68.37 years). BMI was calculated as weight/height². Lipids were measured by standard methods. TG/HDL-C, TC/HDL-C, and LDL-C/HDL-C ratios were separately calculated. The differences between the groups were assessed by Student’s t-test or Man Whitney U test. Correlations were determined by Spearman’s test.

Results. In a total sample of T2DM patients, 41.0% were overweight and 44.4% were obese. In the control group, 51.5% of subjects were overweight and 25.0% were obese. In T2DM group, a significant correlation was observed between BMI and HDL-C, LDL-C, TG/HDL, TC/HDL-C, and LDL-C/HDL-C ratios. In the control group, there was a significant correlation found between BMI and HDL-C, TG, TG/HDL, TC/HDL-C, and LDL-C/HDL-C-ratios. Correlation between BMI and other lipid parameters in T2DM and the control group was not determined.

Conclusion. The present study showed significant correlation between BMI and novel lipid indices in both T2DM patients and the control group of subjects. Possible explanation for the observed results might be prevalence of overweight and obese participants in this study sample. Since novel lipid indices are used in the prediction of cardiometabolic risk, results obtained in the present study have valuable clinical implications.
The Perception of Time between Phenomenology and Gestalt Psychology: Edmund Husserl and Giovanni Bruno Vicario’s Perspectives
Authors: Ferro Floriana
Published: October 2024

This study examines Edmund Husserl’s and Giovanni Bruno Vicario’s perspectives on time. Husserl’s work focuses on consciousness and its processes of synthesis, thus on a transcendental concept of time. Vicario, a member of the Trieste Gestalt school of psychology, rather explores the issue through an experimental perspective. This difference leads Vicario to criticize Husserl, reinterpreting and, sometimes, misunderstanding his texts. Through a careful textual analysis of Husserl’s and Vicario’s works on time, it is argued that, despite methodological differences, their views can be integrated into a pluralistic understanding of time. This includes both phenomenological and psychological perspectives, and offers valid alternatives to a unified and physicalistic view of time.
The impact of professional networking and burnout on the organizational and professional commitment of human resources professionals
Authors: Barber Eric , Werner Jon M.
Published: October 2024

Research on burnout has not focused much attention on human resource (HR) professionals, who are often the link between managers and employees. HR professionals have become more integral in organizations’ strategies, processes and protocols. Burnout and lack of both professional and organizational commitment from this group of employees could be detrimental to organizations. This study examines the effects of professional networking and burnout on the organizational and professional commitment of HR professionals, as well as the potential moderating relationship of professional networking on the relationships between job burnout and organizational and professional commitment through professional networking channels such as LinkedIn forums, professional memberships in organizations like the Society for Human Resource Management (SHRM), or other HR support work groups. A positivist approach using Ordinary Least Squares (OLS) was utilized to examine these relationships, and burnout was significantly and negatively related to both professional and organizational commitment. Further, professional networking had a significant positive influence on the relationship between burnout and commitment, meaning that burnout had a less negative impact on commitment when networking was higher. The results provide insight into factors that assist HR professionals in lessening the effects of burnout, while also increasing organizational and professional commitment.
Performance evaluation of vehicular communication in terahertz band
Authors: Körpe Enis , Akkaş Mustafa Alper , Sokullu Radosveta
Published: October 2024

The Terahertz (THz) band is seen as one of the potentially essential technologies to meet the data throughput requirements of terabits per second (Tbits) in future networks. Considering vehicular communication in particular, the current vehicular communication technologies cannot cope with the rapidly increasing data traffic. To deliver increased capacity and data rate with reduced latency, new technologies and methodologies are therefore required. It is recognized that one possible technology to meet these needs is THz technology. Since the change in distance between vehicles due to their speed affects THz communication, channel modeling was carried out for single-lane and multi-lane vehicular communication scenarios in this study. The system’s performance was also examined. Performance metrics were determined as path loss, signal-to-noise ratio (SNR), capacity and bit error rate (BER). While performing these analyses, the absorption of THz waves is taken into account and the High-Resolution Transmission Molecular Absorption Database (HITRAN) was used to model it. As a result, the most appropriate circumstances for successful vehicular communication have been identified and studied.
Performance evaluation of symbol detection algorithms in massive MIMO communication systems
Authors: Kori Jyoti , Mahajan Alka , Mandloi Manish
Published: October 2024

Massive MIMO (mMIMO) is the essential technique for attaining the exponential increase in the data rate needed for future communication systems. These advancements have been significantly supported by progress in VLSI technology, which enables the integration of an enormous number of antennas and the complex signal processing essential for massive MIMO systems on a single chip. This work conducts a comprehensive analysis of the intricacy of seven matrix decomposition techniques for symbol detection in future mMIMO communication systems: ADMM-based infinity norm (ADMIN), Neumann series (NS), Newton iteration (NI), Jacobi iteration (Ja), improved Gauss-Seidel (IGS), conjugate gradient (CG), and QR decomposition (QR), against linear and near-optimal minimum mean square error (MMSE). QR, GS, Ja, and CG belong to linear algebraic methods based on matrix decomposition. MMSE and ADMIN are nonlinear optimization methods; NS and NI are iterative methods. The analysis examines into the complexity of these detection algorithms, considering the symbol error rate, the convergence rate, the initial solution vector, and the correlation factor. Performance evaluations are conducted on 8 and 16-user mMIMO systems with 64 and 128 base station antennas, modulation schemes (32-QAM and 64-QAM), iteration counts (p = 1, 2, 3, 4), correlation factors (α = 0.2, 0.4, and 0.6), and initial solution vectors (zero vector, D
−1 and W
2
−1
yMF
). The result clearly shows that if the initial solution and number of iterations are chosen properly, the IGS-based linear detector achieves near-optimal performance with a lower computational complexity of O(K
2) compared to the nonlinear MMSE-based detector with a computational complexity of O(K
3).
Theoretical design and implementation of equal and unequal split ultra-wide band Wilkinson power divider with Chebyshev impedance transform
Authors: Kasar Ömer
Published: October 2024

In this study, we designed multi-section UWB Wilkinson power dividers for both equal and unequal power divider. The key innovation is successfully matching these power dividers using the Chebyshev method. The proposed method achieves very low insertion losses and high transmission coefficients across the ports. For the three-section equal power divider, Chebyshev polynomials were used to model the reflection coefficient, and the characteristic impedance for each section was calculated symmetrically. The design achieved a fractional bandwidth of 106% for a 20 dB return loss, with an insertion loss of 0.3 dB. For unequal multi-section dividers, power division ratios of 1.5:1 and 2:1 were chosen. Theoretical microwave calculations were used to determine the input and output transmission line impedances. Chebyshev approximation was then applied to design the three-section unequal power dividers. The return losses for these unequal dividers were measured at 17 dB and 15 dB, with fractional bandwidths of 120% and 126%. Both circuits had insertion losses of 0.25 dB. The consistent results from analytical calculations, simulations, and measurements confirm the effectiveness of the Chebyshev method for both equal and unequal power division.
Comparative Study of Waste Management and Sampling Practices in Latvia and Estonia
Authors: Zemite L. , Backurs A. , Vonda K. , Batjuskovs S. , Cnubbern P. , Jansons L.
Published: October 2024

The study focuses on waste management and sampling practices carried out in two large Baltic cities: Riga (Latvia) and Tartu (Estonia). Even though waste collection schemes are not at the same centralisation level in the two municipalities, certain similarities can be observed in waste collection, management and sampling processes. Governed by provisions of Council Directive 1999/31/EC of 26 April 1999 on the landfill of waste, general national waste treatment legislation, and the national waste management plans, waste management practices in Latvia and Estonia are moving towards minimalisation of waste landfilling and maximalisation of waste inclusion into various recycling practices (use in waste biodegradation cells, bioreactors, different waste recycling facilities, in developing modern waste management supporting infrastructure, etc.). Therefore, waste management in two countries can be partly characterised as a vital element of emerging circular economy activities aimed at minimising landfill deposition of waste, hence, a more effective and permanent approach to sustainable waste management problems, on the one hand, and maximising the diversified use of waste in different branches of economy, hence, larger economic and social benefits.
Advanced Maximum Power Point Tracking Technique for Photovoltaic Reverse Osmosis Systems
Authors: Mowafy A. G. E. M. I. , Steiks I.
Published: October 2024

The paper presents a novel control algorithm for a standalone Photovoltaic Reverse-Osmosis (PV-RO) system without a battery. It highlights the importance of tracking the maximum power tracking points in the photovoltaic panels. The development of new methods has become more urgent than before. The PV-RO system combines solar energy and reverse osmosis technology to provide reliable and sustainable access to clean drinking water in remote areas. Traditional PV-RO systems often require energy storage solutions such as batteries to maintain a constant water supply during periods of low solar irradiation. However, the integration of batteries adds complexity, cost, and environmental impact to the system. The paper presents the development of different MPPT techniques, which are better than traditional techniques (more accurate and faster). The paper also provides a comparison with the studied methods (P&O and Incremental Conductance) and the proposed one.
Modelling П-Shaped Concentrating Optics for Lcpv Solar Cells Using Fresnel Lens
Authors: Kapparova A. , Orynbassar S. , Dosymbetova G. , Almen D. , Yershov E. , Saymbetov A. , Nurgaliyev M. , Algazin N. , Sharipbay A. , Zhastalapova D.
Published: October 2024

Most concentrating optics do not show good performance at higher incidence angles and have low acceptance angles and, therefore, they require a high-accuracy solar tracking system, which is costly. In this study, by detailed investigation of optics of the proposed П-shaped concentrating optics, it was found that system remained high in terms of optical efficiency and its concentration ratio at certain higher incidence angles. During the work, ray path through the concentrating optics, width of the light spot at different incidence angles were calculated. Optical efficiency, geometrical concentration ratio, concentration ratio at different incidence angles were found by the results of COMSOL Multiphysics calculations. It was found that the system had a high optical efficiency of approximately 95% and its concentration ratio of 3x-5x was at the range of ±0-20 degrees of incidence angle, and it could reduce the work of a solar tracking system. As well, an increase in the optical efficiency could be seen from 0 to 5 degrees of the incidence angle and an increase in the concentration ratio could be seen from 0 to 12 degrees of the incidence angle in terms of the reflective mirrors which helped redirect the rays to the solar cells. Optical systems with such a high incidence angle could reduce the performance of the solar tracker system, and it reduced the overall cost and energy consumption of the LCPV.
Tobacco use as a contributing factor in HIV–TB co- infection – the multidisciplinary approach in the case of an immunosuppressed smoking patient
Authors: Iorga Luiza , Tanasescu Mihaela , Ciolan Gina , Balteanu Mara , Voinea Anca , Orghidan Mihnea , Croitoru Alina , Slabu Andreea Dumitrița
Published: October 2024

Introduction

Tuberculosis-HIV co-infection remains a challenge to the clinician largely as a result of the potentiation mutual, which will result in deterioration of the immunological status and increased risk of mortality.

Case presentation

37-year-old patient, smoker 5 pack-year (5PA), without pathological history, who is hospitalized in 2021 in an ear, nose and throat otolaryngology (ENT) service in the context of the appearance of laterocervical and axillary polyadenopathy, during the examination histopathologically resulting to be of tuberculous etiology. The transfer was made to the pneumophthisiology clinic where human immunodeficiency virus (HIV) testing was performed it was positive. It was decided to initiate antituberculosis and systemic corticoid treatment with initially favorable evolution, with the association following antiretroviral therapy. The patient develops motor deficits, and the brain magnetic resonance imaging (MRI) examination revealed the presence of two left hemispheric intracranial processes biopsied by neuronavigation, the result of which revealed histopathological changes highly suggestive of granulomatosis. In dynamics, the clinical examination carried out in an infectious disease service highlights the appearance of a pseudotumoral formation, with consistent right sterno-costal fluctuation, which is why it was decided to redirect the case to the thoracic surgery department, where drainage of the formation was practiced with the microbiological detection of Mycobacterium tuberculosis.

Discussions

The peculiarity of the case resides in the presence of multiple foci of extrapulmonary tuberculosis in a case of tuberculosis-human immunodeficiency virus ( TB-HIV) co-infection, without lung damage, in a patient with apparent compliance to treatment.

Conclusions

Tuberculosis remains a challenge for the clinician, especially in the case of HIV co-infection, association with mortality and increased morbidity.