bluuebunny/crossref_metadata_2025 huggingface dataset:
The Sohanjana Antibullying Intervention: Pilot Results of a Peer-Training Module in Pakistan
Authors: Siddiqui Sohni , Schultze-Krumbholz Anja
Published: July 2023

Although comprehensive school-wide interventions targeting bullying have proven effective, many schools, particularly those in low-to-middle income countries like Pakistan, lack the necessary resources to implement them. As a result, implementing cost-effective antibullying bystander programs that train students to become peer advocates is a promising approach for intervening in bullying incidents. Peer training in antibullying intervention involves training students to take on leadership roles and advocate for antibullying initiatives within their school communities. The aim of this study was to design, implement, and evaluate a peer-training module that was subsequently implemented in four schools (N = 38, boys = 26, girls = 12) in Pakistan. The aim was to raise awareness and prepare a team of peer mentors to effectively implement antibullying policies in educational institutions. Pre-post tests and participant feedback were used to evaluate the effectiveness of the peer-training program in increasing knowledge and awareness of bullying and the role of bystanders among trained peer mentors. To determine the impact of the peer mentor training on improving the school environment, data were also collected from students (N = 219, boys = 152, girls = 67) before and after the implementation of the program. The pilot implementation of the peer-training module was considered successful, indicating that the training was effective in improving the knowledge of peer mentors and could be used in a similar way in future cases. The results also showed a significant improvement in the development of prosocial bystanders. However, although improvements were observed in other aspects of the school environment, these did not reach statistical significance. The discussion section includes recommendations and explanations for differences based on gender and urban–rural factors. Suggestions are also made to improve the results for future applications.
Integration of Indigenous and Local Knowledge in Policy and Practice of Nature-Based Solutions in China: Progress and Highlights
Authors: Yu Ruizi , Mu Quan
Published: July 2023

China promotes nature-based solutions (NbS) as key approaches to addressing climate change, ecosystem damage, and biodiversity loss. However, indigenous and local knowledge (ILK), which is recognized by international scholars as an essential element of successful NbS, has not been thoroughly studied in the Chinese context. By conducting a comprehensive review of Chinese central governmental policies and semi-structured interviews with typical cases, this study finds diversified sources of ILK and five pathways of ILK integration, including education, supervision, participation, knowledge preservation, and knowledge adoption. An increasing emphasis on community engagement has been driven by central policies, such as ecological civilization, carbon peaking, and carbon neutrality goals. From a practical perspective, consistent core ideas of ILK exist in selected typical Chinese cases and studies in other countries, namely co-existence and reciprocity with nature. While supportive central policies can set the scene, ILK integration could not be realized without local governmental endorsement, context-based implementation, and long-term multi-stakeholder participation. Furthermore, this study also figures out a potential deficiency in terms of realizing effective ILK integration in mainstream and conventional practices, which can be further investigated by future studies.
Optimization of Roadside Unit Deployment on Highways under the Evolution of Intelligent Connected-Vehicle Permeability
Authors: Zhang Luyu , Lu Youfu , Chen Ning , Wang Peng , Kong Weilin , Wang Qingbin , Qin Guizhi , Mou Zhenhua
Published: July 2023

With the increasing number of Connected and Autonomous Vehicles (CAVs), the heterogeneous traffic flow on highways now consists of a mix of CAVs and Non-networked Autonomous Vehicles (NAVs). The current deployment of Roadside Units (RSUs) on highways is mostly based on uniform or hotspot locations. However, when the permeability of CAVs on the road varies, the communication network may face challenges such as excessive energy consumption due to closely spaced RSU deployments at high CAV permeability or communication interruptions due to widely spaced RSU deployments at low CAV permeability. To address this issue, this paper proposes an improved D-LEACH clustering algorithm based on vehicle clustering; analyzes the impact of RSU and vehicle communication radius, mixed traffic density, and different CAV permeabilities in the heterogeneous traffic flow on the RSU deployment interval; and calculates the rational and effective RSU deployment interval schemes under different CAV permeabilities on highways in the heterogeneous traffic flow. When the heterogeneous traffic flow density is stable and CAV continues to penetrate, the RSU communication radius and deployment interval can be adjusted to ensure that the network connectivity is maintained at a high level. When the RSU and vehicle communication radius are stable, the mixed traffic density is 0.05, and the CAV permeability is 0.2, the RSU deployment interval can be set to 1235 m; when the mixed traffic density is 0.08 and the CAV penetration rate is 0.7, the RSU deployment interval can be set to 1669 m to ensure that the network connectivity is maintained at a high level.
Investigations on the Diesel Spray Characteristic and Tip Penetration Model of Multi-Hole Injector with Micro-Hole under Ultra-High Injection Pressure
Authors: Zhai Chang , Chang Feixiang , Jin Yu , Luo Hongliang
Published: July 2023

Increasing the injection pressure has a significant impact on atomization and combustion characteristics. Spray tip penetration serves as a vital parameter for fuel injection control and engine structure design. However, a reliable spray tip penetration model for ultra-high-pressure injection is currently lacking. To address this gap, this study establishes a theoretical 0-dimensional model for spray tip penetration under ultra-high pressure (300 MPa) conditions. The model is based on the conservation of momentum and phenomenological models. The new model divides spray tip penetration into two stages: Pre-breakup and post-breakup, with fuel injection rate and spray cone angle used as model inputs. To validate the model, high-speed camera observations and constant-volume chamber experiments are conducted to investigate the spray characteristics. The results indicate that the new spray tip penetration model demonstrates improved predictive accuracy across all experimental conditions.
Local Government Debt and Its Impact on Corporate Underinvestment and ESG Performance: Empirical Evidence from China
Authors: Cao Mingyao , Duan Keyi , Ibrahim Haslindar
Published: July 2023

ESG ratings are closely linked to corporate resource allocation and overarching macroeconomic constituents. Nevertheless, there is a noticeable lack in the literature investigating the interconnected relationship between the growth of local government debt, corporate underinvestment, and ESG ratings. This study aims to investigate the impact of local government debt on corporate underinvestment and its subsequent effects on corporate ESG performance. To achieve this goal, this study utilizes special bond data from Chinese provinces spanning the period between 2015 and 2021. The findings suggest that as local government debt swells, it imposes financing constraints on local companies, leading to underinvestment, particularly for listed companies with a high proportion of fixed assets and non-state-owned enterprises. A key effect is a “crowding-out effect” in which local government debt absorbs resources that could otherwise be allocated to private corporations and non-investment sectors. This trend illuminates the concealed costs of a debt-reliant growth model extending beyond the financial sector to impact broader corporate behavior and ESG performance. Our research suggests that government debt, corporate financing constraints, and ESG investment are intimately linked. The study concludes with policy implications and recommendations aimed at mitigating the investment gap in Chinese enterprises and promoting sustainable economic growth.
Geophysical Prospecting of the Coptic Monastery of Apa Moses Using GPR and Magnetic Techniques: A Case Study, Abydos, Sohag, Egypt
Authors: Abudeif Abdelbaset M. , Abdel Aal Gamal Z. , Ramadan Hatem S. , Al-Arifi Nassir , Bellucci Stefano , Mansour Khamis K. , Gaber Hossameldeen A. , Mohammed Mohammed A.
Published: July 2023

As a result of new discoveries, there is a greater opportunity for development and investment in the Al-Arraba EL-Madfuna region of Abydos, Sohag Governorate, Egypt, which benefits tourism and increases the national economy. The Coptic monastery, which was originally established by Apa Moses, the patriarch of the Coptic Church during the ancient Roman Empire, has vanished inside the current market on this site, along with numerous tombs. As a result, the primary goal of this work is to prospect on this site for these potential archaeological features. Ground magnetic and ground-penetration radar (GPR) surveys were employed for discovering these archaeological issues. This work was done in coordination with the Supreme Council of Antiquities. Ground magnetic and GPR surveys were implemented using the G-857 proton-precession magnetometer and GSSI SIR 4000 with a 200 MHz antenna. The data were processed and interpreted using Geosoft Oasis Montaj and REFLEXW v.5.8 software packages. The magnetic data were filtered to separate the shallower anomalies representing the archaeological remains from those of the deeper ones. Butterworth high pass filter, first vertical derivatives, analytical signal, and tilt derivative were employed to carry out the processing stages. The results were analyzed qualitatively and quantitatively to describe these anomalies and determine their locations, geometrical shapes, and depths. The source parameter imaging technique and 3D Euler deconvolution were used to calculate the depths. The analysis of magnetic maps shows that the study site is characterized by a number of anomalies that occur and have geometric squares and rectangle shapes with depths ranging from 0.7 m to ≈4 m. Some of these anomalies are related to potential archaeological objects. GPR findings reveal considerably scattered hyperbolas along several profiles, which may indicate the presence of potential buried objects. The integration of magnetic and GPR results showed that there is some consistency in the identification of the locations of the likely buried archaeological objects and their depths (0.7 to 3 m) for the majority of the discovered targets. The findings of this study suggest excavating at this location and relocating the market in order to protect the buried antiquities from being lost to be safeguarded as a tourist destination target.
Pandemic Simulator: An Agent-Based Framework with Human Behavior Modeling for Pandemic-Impact Assessment to Build Sustainable Communities
Authors: Weligampola Harshana , Ramanayake Lakshitha , Ranasinghe Yasiru , Ilangarathna Gayanthi , Senarath Neranjan , Samarakoon Bhagya , Godaliyadda Roshan , Herath Vijitha , Ekanayake Parakrama , Ekanayake Janaka , Maheswaran Muthucumaru , Theminimulle Sandya , Rathnayake Anuruddhika , Dharmaratne Samath , Pinnawala Mallika , Yatigammana Sakunthala , Tilakaratne Ganga
Published: July 2023

It is crucial to immediately curb the spread of a disease once an outbreak is identified in a pandemic. An agent-based simulator will enable policymakers to evaluate the effectiveness of different hypothetical strategies and policies with a higher level of granularity. This will allow them to identify vulnerabilities and asses the threat level more effectively, which in turn can be used to build resilience within the community against a pandemic. This study proposes a PanDemic SIMulator (PDSIM), which is capable of modeling complex environments while simulating realistic human motion patterns. The ability of the PDSIM to track the infection propagation patterns, contact paths, places visited, characteristics of people, vaccination, and testing information of the population allows the user to check the efficacy of different containment strategies and testing protocols. The results obtained based on the case studies of COVID-19 are used to validate the proposed model. However, they are highly extendable to all pandemics in general, enabling robust planning for more sustainable communities.
Investigation and Suggestions regarding Residents’ Understanding of Waste Classification in Chinese Prefecture-Level Cities—A Case Study of Maanshan City, Anhui Province, China
Authors: Ge-Zhang Shangjie , Cai Taoyang , Hu Zhitao , Zhu Haotong , Mu Pingxuan , Cui Jingang
Published: July 2023

The implementation of waste-sorting policy is conducive to improving residents’ working and living environments, and has positive implications for promoting green development and building in China. As one of the main factors in the implementation of waste-sorting policy, residents’ awareness of and behavior regarding waste sorting and disposal affects its promotion, while policies, incentives and infrastructure will affect residents’ enthusiasm for implementing waste sorting. Taking Maanshan City in Anhui Province as a case study, this paper discusses the current state of progress towards ecological civilization in China; the influence of policy promotion on residents’ perception of it; the correlation between residents’ age and their understanding of waste classification; and the correlation between residents’ enthusiasm, policies and green infrastructure; and puts forward some suggestions for how to enhance green infrastructure and improve residents’ perceptions of waste classification in the future.
How Does Digital Technology Innovation Affect the Internationalization Performance of Chinese Enterprises? The Moderating Effect of Sustainability Readiness
Authors: Li Fei , Zhao Yang , Ortiz Jaime , Chen Yan
Published: July 2023

The existing literature highlights the role of digital technology innovation in driving the international performance of enterprises. However, it has largely overlooked the nonlinear relationships that emerge from their quest for contributing towards global sustainable development goals. Our study explores the nonlinear influence of digital technology innovation on firms’ international performance, further investigating how this relationship may be moderated by sustainability readiness, as measured through sustainable technological capabilities and sustainable certification standards. Using a double fixed effects model on a sample of 269 Chinese listed digital enterprises from 2012 to 2019, our findings reveal a U-shaped relationship between digital technology innovation and internationalization performance, which is more pronounced for firms with superior sustainable technological capabilities. However, the influence of sustainable certification standards is less noticeable. We further identify notable differences between the digital service and digital manufacturing sectors, thereby enriching our comprehension of the complex relationships between digital innovation, sustainability readiness, and international performance.
A Comprehensive Review of Recent Maximum Power Point Tracking Techniques for Photovoltaic Systems under Partial Shading
Authors: Worku Muhammed Y. , Hassan Mohamed A. , Maraaba Luqman S. , Shafiullah Md , Elkadeem Mohamed R. , Hossain Md Ismail , Abido Mohamed A.
Published: July 2023

To operate photovoltaic (PV) systems efficiently, the maximum available power should always be extracted. However, due to rapidly varying environmental conditions such as irradiation, temperature, and shading, determining the maximum available power is a time-varying problem. To extract the maximum available power and track the optimal power point under these varying environmental conditions, maximum power point tracking (MPPT) techniques are proposed. The application of MPPT for extracting maximum power plays a crucial role in developing efficient PV systems. These MPPT techniques face several issues and limitations, particularly during partial shading conditions caused by non-uniform environmental conditions. Researchers have been focusing more on mitigating the partial shading condition in PV systems for the last few years due to the need to improve power output and efficiency. This paper provides an overview of MPPTs proposed in the literature for uniform and non-uniform environmental conditions broadly categorized as MPPT-based and circuit-based methods. The MPPT-based methods are classified as conventional, soft computing, and hybrid techniques. A critical analysis of each approach regarding tracking speed, algorithm complexity, and dynamic tracking under partial shading is discussed. The literature shows hybrid strategies provide fast-tracking speed and are efficient with a tracking efficiency of around 99% compared to conventional methods; however, their design and practical implementation are complex. This comprehensive review of MPPT methods aims to provide power utilities and researchers with a reference and guideline to select the best MPPT method for normal operation and partially shaded PV systems based on their effectiveness and economic feasibility.
Assessing the Quality of Treated Wastewater for Irrigation: A Case Study of Ain Sefra Wastewater Treatment Plant
Authors: Moussaoui Tayyib , Derdour Abdessamed , Hosni Alia , Ballesta-de los Santos Manuel , Legua Pilar , Pardo-Picazo Miguel Ángel
Published: July 2023

This study aimed to assess the water quality parameters in the wastewater treatment plant (WWTP) of Ain Sefra, southwestern Algeria. Various methods were employed to analyze the performance and suitability of the WWTP for irrigation. The results revealed effective removal of nitrates, with levels below the limit set for irrigation water. The dissolved oxygen content showed efficient biological processes and good degradation of organic matter. Phosphate levels were found to be within FAO and Algerian irrigation standards. However, elevated ammonia levels were observed, exceeding typical ranges for irrigation. The suitability of groundwater for irrigation was evaluated by calculating groundwater suitability indices. These indices categorized all samples as either excellent or good based on their Sodium Adsorption Ratio (SAR) and Kelly’s ratio. However, the sodium percentage values raised concerns about potential negative effects on the soil. Some samples were deemed unsuitable for irrigation because of high magnesium hazard and potential salinity values. These findings offer valuable insights into the performance and suitability of treated wastewater for irrigation in the Ain Sefra region. They can inform decision makers and stakeholders involved in agriculture and water management.
Financial Market Sustainability in a Dual-Track System: Venture Capital and Startups’ Speed of Passing
Authors: Hu Sunyang , Jiang Yichen , Wang Xianlong
Published: July 2023

The government’s intervention under the approval system seriously affects the healthy and sustainable development of the financial market. An IPO is an important way for a venture capitalist (VC) to gain income, which impacts the efficiency of resource allocation in the capital market. From the perspective of resource allocation efficiency, this paper compares the influence of venture capital on the IPO process of startup enterprises under registration and approval systems. The findings are as follows: (1) after the trial registration system, the speed of passing and listing of VC-owned startup enterprises can be significantly accelerated. (2) Venture capitalists can accelerate the startup enterprises’ speed of passing by sending directors to startup enterprises and improving the level of risk disclosure, which is only significant under the registration and issuance system. (3) Further research shows that VC-supported startups perform better after listing. (4) VCs can help startup enterprises to choose hot season listing, which has a good timing effect. The conclusion of this text study is still robust after using propensity score matching (PSM) and Heckman to eliminate endogeneity. The conclusion of this study provides a theoretical basis and empirical support for emerging market countries to promote market-oriented reform.
Uses of Bamboo for Sustainable Construction—A Structural and Durability Perspective—A Review
Authors: Madhushan Sumeera , Buddika Samith , Bandara Sahan , Navaratnam Satheeskumar , Abeysuriya Nandana
Published: July 2023

Bamboo is a natural biodegradable material used as a strength-bearing material that operates for system works, formwork supporting stands, structural members in low-rise houses, props, framing, bridges, laminated flooring, facades, walls, roofs, and trusses. Over recent years, there has been an increased demand for bamboo, considering sustainable construction practices. Exploring bamboo’s physical and mechanical behaviour is essential to develop innovative construction methods and design guidelines. Therefore, this paper aims to review the studies on bamboo culms’ material properties and physical behaviour, considering the load-bearing capacity and structural adequacy. This study summarises the physical and mechanical properties of a wide array of bamboo species grown worldwide. Mechanical properties such as compressive, tensile, flexural, shear, and bucking strengths are explored, highlighting the key findings in previous experimental works. Results have indicated a significant variability in bamboo’s material and mechanical properties considering the growth conditions, location along a culm, geometric imperfections and environmental conditions. In addition to material and mechanical properties, structural bamboo connections, engineered bamboo products, and preservative treatment of bamboo are also investigated. The construction industry can utilise the summary of the findings of this study to develop design guidelines for sustainable bamboo construction. Overall, this paper presents an overview of structural capability and drawbacks for future research and development using bamboo in modern construction.
Deep Learning Approach to Recyclable Products Classification: Towards Sustainable Waste Management
Authors: Ahmed Mohammed Imran Basheer , Alotaibi Raghad B. , Al-Qahtani Rahaf A. , Al-Qahtani Rahaf S. , Al-Hetela Sara S. , Al-Matar Khawla A. , Al-Saqer Noura K. , Rahman Atta , Saraireh Linah , Youldash Mustafa , Krishnasamy Gomathi
Published: July 2023

Effective waste management and recycling are essential for sustainable development and environmental conservation. It is a global issue around the globe and emerging in Saudi Arabia. The traditional approach to waste sorting relies on manual labor, which is both time-consuming, inefficient, and prone to errors. Nonetheless, the rapid advancement of computer vision techniques has paved the way for automating garbage classification, resulting in enhanced efficiency, feasibility, and management. In this regard, in this study, a comprehensive investigation of garbage classification using a state-of-the-art computer vision algorithm, such as Convolutional Neural Network (CNN), as well as pre-trained models such as DenseNet169, MobileNetV2, and ResNet50V2 has been presented. As an outcome of the study, the CNN model achieved an accuracy of 88.52%, while the pre-trained models DenseNet169, MobileNetV2, and ResNet50V2, achieved 94.40%, 97.60%, and 98.95% accuracies, respectively. That is considerable in contrast to the state-of-the-art studies in the literature. The proposed study is a potential contribution to automating garbage classification and to facilitating an effective waste management system as well as to a more sustainable and greener future. Consequently, it may alleviate the burden on manual labor, reduce human error, and encourage more effective recycling practices, ultimately promoting a greener and more sustainable future.
Data-Driven Evaluation and Recommendations for Regional Synergy Innovation Capability
Authors: Zheng Keyan , Hu Fagang , Yang Yaliu
Published: July 2023

Regional synergy innovation capability is an important driving force in promoting the sustainable and high-quality development of the regional economy. Taking the regional innovation development panel data of the Yangtze River Delta integration region from 2010 to 2019 as a sample, this study constructs an evaluation index system of regional synergy innovation capability, weights the index using the entropy weight method, and measures the capability of the Yangtze River Delta integration region (three provinces and one city) using the composite system synergy degree model. The empirical results show that the synergy of regional synergy innovation in the Yangtze River Delta integration has increased steadily, but there is still much room for improvement. Anhui has great potential for synergy innovation with Jiangsu, Zhejiang, and Shanghai. Therefore, this study proposes countermeasures and suggestions for the high-quality development of Anhui’s synergy innovation capability under the integration of the Yangtze River Delta. This study provides theoretical and methodological support for enhancing regional synergy innovation capability and provides decision support for the sustainable and high-quality development of the regional economy.
How Do Women on Board Reduce a Firm’s Risks to Ensure Sustainable Performance during a Crisis?
Authors: Tashfeen Rubeena , Saleem Irfan , Ashfaq Muhammad , Noreen Umara , Shafiq Muhammad
Published: July 2023

The research applies the Upper Echelons Theory and the Lehman Sisters Hypothesis to explain how women board members use investment, financial, and liquidity techniques to reduce risk and increase a firm’s value. An original dataset of listed US companies is analyzed to show how women strategists contribute to value creation and mitigate stock volatility and bankruptcy. A simultaneous equations approach captures the interplay between a company’s use of debt and financial derivatives. According to this research, organizations that employ derivative instruments benefit more from having women in advisory roles because women encourage proactive risk management and develop effective risk control measures. The research implies that businesses should actively promote gender equality on their boards rather than merely recognizing the need for diversity.
Optimisation of Mechanical Characteristics of Alkali-Resistant Glass Fibre Concrete towards Sustainable Construction
Authors: Tahir Hammad , Khan Muhammad Basit , Shafiq Nasir , Radu Dorin , Nyarko Marijana Hadzima , Waqar Ahsan , Almujibah Hamad R. , Benjeddou Omrane
Published: July 2023

Concrete is a worldwide construction material, but it has inherent faults, such as a low tensile strength, when not reinforced with steel or other forms of reinforcement. Various innovative materials are being incorporated into concrete to minimise its drawbacks while concurrently improving its dependability and sustainability. This study addresses the research gap by exploring and enhancing the utilisation of glass fibre (GF) concerning its mechanical properties and reduction of embodied carbon. The most significant advantage of incorporating GF into concrete is its capacity to reduce the obstruction ratio, forming clusters, and subsequent material solidification. The study involved experiments wherein GF was incorporated into concrete in varying proportions of 0%, 0.5%, 0.75%, 1%, 1.25%, 1.50%, 1.75%, and 2% by weight. Mechanical tests and tests for durability were conducted, and Embodied carbon (EC) with eco-strength efficiency was also evaluated to assess the material’s sustainability. The investigation found that the optimal percentage of GF to be used in concrete is 1.25% by weight, which gives the optimum results for concrete’s mechanical strength and UPV. Adding 1.25% GF to the material results in increases of 11.76%, 17.63%, 17.73%, 5.72%, and 62.5% in C.S, STS, F.S, MoE, and impact energy, respectively. Concrete blended with 1.25% of GF has the optimum value of UPV. The carbon footprint associated with concrete positively correlates with the proportion of GF in its composition. The optimisation of GF in concrete is carried out by utilising the response surface methodology (RSM); equations generated through RSM enable the computation of the effects of incorporating GF in concrete.
Unlocking the Potential of Digital, Situation-Aware Nudging for Promoting Sustainable Mobility
Authors: Loidl Martin , Kaziyeva Dana , Wendel Robin , Luger-Bazinger Claudia , Seeber Matthias , Stamatopoulos Charalampos
Published: July 2023

The context ultimately decides on mobility options and thus shapes mobility behavior. Nudges are an increasingly used strategy for promoting sustainable modes of everyday mobility. However, in most cases, the design of nudges and the triggers for issuing these interventions neglect the user's specific context and are thus less relevant to the recipient. Digital nudges communicated through mobile devices offer situation awareness, which is facilitated by geographic information systems (GIS). Using the geographic reference as the “primary key” allows for connecting the current location information of recipients with static and real-time environmental data that define the contextual situation. We describe a framework for triggering situation-aware nudges and provide a functional proof-of-concept. Through linking concepts from behavioral economics and psychology with methods from GIS science and Human-Computer-Interaction (HCI), we illuminate new opportunities for promoting sustainable mobility.
A New Method for Selecting the Geometry of Systems for Surface Infiltration of Stormwater with Retention
Authors: Kordana-Obuch Sabina , Starzec Mariusz
Published: July 2023

The application of infiltration basins and tanks is one of the primary means of sustainable stormwater management. However, the methods currently used to size these facilities do not take into account a number of parameters that have a significant impact on their required capacity. In light of this, the aim of this research was to develop a new method for selecting the geometry of the infiltration basins and tanks. Its application in the initial phase of designing stormwater management systems will allow assessing the validity of using such facilities in a given catchment area. This paper also presents the results of local and global sensitivity analyses examining how changes in individual design parameters influence stormwater infiltration facilities. The effectiveness of the developed model was evaluated through the example of a real urban catchment. The study was based on a hydrodynamic analysis of more than 3000 model catchments. The research plan was developed using Statistica software. On the other hand, the analysis of the results of hydrodynamic simulations was made possible through the use of artificial neural networks designed using the Python programming language. The research also confirmed that parameters such as the total catchment area, the percent of impervious area, and the type of soil within the catchment are crucial in the design process of these facilities. The results of this research can be considered when designing infiltration basins and tanks under Polish conditions. The described algorithm can also be used by other researchers to develop similar models based on different rainfall data. This will contribute to increasing the safety of urban infrastructure.
Hubungan Pembelajaran Online Dengan Kejadian Stres Pada Mahasiswa Di Fakultas Ilmu Kesehatan Universitas Islam As-Syafi’iyah Pada Masa Pandemi Covid-19
Authors: Tianti Ade Ajeng , Idris Muhamad
Published: July 2023

Based on the circular letter of the Ministry of Education and Culture (Kemendikbud) Directorate of Higher Education No.  1 year 2020 during the covid-19 pandemic, universities eliminated teaching and learning activities on campus and shifted them to distance learning (online).  In online learning at the Faculty of Health Sciences As-Syafi'iyah Islamic University the implementation of online lectures raises several obstacles such as the internet network and assignments that become stressors for students.  The purpose of the study was to determine the relationship between online learning and the incidence of stress in students at the Faculty of Health Sciences, As-Syafi'iyah Islamic University during the Covid-19 pandemic.  The research method used descriptive correlation with a cross sectional approach, a population of 184 students consisting of semesters 2, 4, and 6. The sample uses the slovin formula to 65 students taken by proportional sampling technique. The analysis used univariate and biavariate using Chi-Square test = 5% (0.05).  The results of the univariate analysis (%) showed a good picture of online learning 55.4% and the incidence of stress was 43.1%, bivariate analysis obtained p or Asym values.  Sig.  (2-sided) = 0.209 with a value of = 5% (0.05).  The conclusion is that there is no relationship between online learning and the incidence of stress in students at the Faculty of Health Sciences, As-Syafi'iyah Islamic University during the Covid-19 pandemic.  Suggestions are that students are expected to be more active in class forums such as asking about material that has not been understood and activating the zoom camera.
hubungan ansietas dengan kualitas tidur lansia hipertensi diwilayah puskesmas UPTD indra giri hilir
Authors: Ramadia Arya , Valentino Febrian , Rahmaniza Rahmaniza
Published: July 2023

Lansia adalah suatu proses alami yang tidak dapat dihindari oleh setiap individu pada fase akhir dari perkembangan manusia. Tingginya jumlah lansia maka permasalahan yang dihadapi oleh lansia juga semakin tinggi, terutama dalam mengalami tingkat ansietas yang tinggi disebabkan oleh berbagai faktor seperti memikirkan umur yang semakin lanjut sehingga berdampak pada ketidakmampuan dalam memenuhi kebutuhan dan memikirkan masalah yang terjadi pada keluarga. Seiring dengan mengalami tingkat ansietas yang tinggi maka berdampak pada kualitas dan pola tidur lansia yang terdiri dari dua aspek yaitu baik dan tidak baik sehingga mengakibatkan berbagai macam kemungkinan lansia mengalami gangguan kesehatan. Tujuan penelitian ini untuk mengetahui Hubungan Ansietas Terhadap kualitas Tidur Pada Lansia Hipertensi di Puskesmas Pekan Heran Kecamatan Rengat Barat Kabupaten Indragiri Hulu. Jenis penelitian yang digunakan dalam penelitian ini adalah kuantitatif dengan deskriptif korelasional dengan menggunakan rancangan cross sectional. Jumlah sampel sebanyak 108 responden dengan teknik pengambilan sampel dalam penelitian ini adalah Purposive sampling. Hasil penelitian diperoleh ansietas pada lansia sebagian besar pada kategori sedang sebanyak 41 responden (38,0%). Kualitas tidur lansia hipertensi sebagian besar pada kategori baik sebanyak 61 responden (56,5%). Ansietas memiliki hubungan dengan kualitas tidur lansia Hipertensi dimana terdapat p value 0,000. Tenaga kesehatan di Puskesmas disarankan untuk dapat menggali dukungan keluarga pada lansia sehingga dapat membantu mempertahankan kualitas tidur pada lansia hipertensi.
RESEARCH ON EFL STUDENTS’ AWARENESS AND PERCEPTIONS TOWARDS THE UTILIZATION OF OPEN EDUCATIONAL RESOURCES IN VIETNAM
Authors: Nguyen Bich Dieu , Tam Vo Thi
Published: July 2023

The adoption of Open Educational Resources (OER) in higher education has been extensively studied worldwide, but there is a lack of research on OER awareness and usage among university students in Vietnam. This study used both quantitative and qualitative approaches to investigate students' awareness of OER and their perceived benefits and challenges when using OER materials. Participants were students in the English Language Teaching Program at UD-UFLS, who were randomly selected to participate in semi-structured interviews through focus groups. The study collected data from 80 questionnaire responses and interview transcripts. Marcus's Theory of Technology Adoption provided a framework for the investigation of OER use. The study identified several benefits of OER utilization, including increased access to materials, cost-effectiveness, flexibility, and autonomy in learning. However, limited knowledge of OER and a lack of support from faculty were identified as barriers to the use of OER among students at UD-UFLS. The results of this study can inform stakeholders about the potential benefits of OER and encourage the promotion of OER in higher education institutions in Vietnam, including UD-UFLS.
COMPARISON OF NOREPINEPHRINE AND PHENYLEPHRINE FOR TREATMENT OF HYPOTENSION DURING SPINALANAESTHESIA FOR CAESAREAN SECTION
Authors: Meena Shriphal , Gaurav R Pavan , Kulshreshta Amit
Published: July 2023

Cesarean section (CS) is a surgical intervention which is carried out to ensure safety of mother and child when vaginal delivery is not possible. Hypotension is a common adverse effect of spinal anesthesia given for cesarean delivery. Phenylephrine is the current drug of choice for treating spinal anaesthesia induced hypotension but risks bradycardia. Norepinephrine is a potent alpha adrenergic agonist with weak beta adrenergic activity and it's positive chronotropic effect is expected to limit bradycardia and could be a potential alternative to Phenylephrine. MethodsIn this study 60 parturients of American Society of Anesthesiologits grade 2 undergoing elective cesarean section were randomised into 2 groups. Group P received 50mcg of Phenylephrine and Group N received 4mcg of Norepinephrine for treatment of hypotension during spinal anesthesia. The number of bolus vasopressor required to treat hypotension, Heart rate, Systolic Blood pressure(SBP), Diastolic blood pressure (DBP), Mean arterial pressure (MAP) and neonatal APGAR scores were recorded. Results Demographic parameters of mean age, weight and duration of surgery were comparable in both groups. The mean number of vasopressor boluses required were signicantly less in group N (1.4 ± 1.1) as compared to Group P (2.33±1.37) p<0.05 The mean heart rate, SBP, DBP, MAP during surgery were comparable. The mean neonatal APGAR scores were comparable (7.93 ± 0.25 and 7.87 ± 0.35 respectively and at the end of 5 min was also similar which was 78.9 ± 0.31 and 8.83 ± 0.38 respectively) Conclusions Spinal anaesthesia induced hypotension during caesarean section can be managed effectively with intermittent norepinephrine boluses of 4mcg with lesser number of bolus doses to maintain the maternal blood pressure as compared to Phenylephrine 50 mcg, with a lesser likelihood of bradycardia. Norepinephrine is a strong vasoconstrictor that also has beta adrenergic characteristics. Therefore, it is linked to a lower incidence of bradycardia and a reduction in cardiac output
A case report of refractory pulmonary adenocarcinoma
Authors: Li Haiyan , Xu Chifeng , Lu Xia
Published: July 2023

As one of the most common types of carcinomas, lung cancer has high incidence and mortality rates. Among the pathological types of lung cancer, pulmonary adenocarcinoma is the most prevalent. Advancements in medical treatments have contributed to improved prognosis in pulmonary adenocarcinomas. However, this case report revealed a rare refractory lung adenocarcinoma, suggesting that further research and robust management strategies are needed to improve clinical outcomes. In this regard, 18F-fluorodeoxyglucose positron emission tomography/ computed tomography plays a very important role in the comprehensive evaluation of glucose metabolic activity in lung adenocarcinoma and the progression of metastasis in distant organs.
Modern Foreign Approaches to Defining the Concept of Smart City
Authors: Radchenko K.V.
Published: July 2023

The relevance of this paper is strengthened by the significant proliferation of smart city projects worldwide as well as the importance of developing the comprehensive urban development strategies in the post-war recovery of Ukraine. The author focuses on systematizing the theoretical and practical understanding of smart cities, in terms of the international practices. Firstly, the article establishes a correlation between the concept of a smart city and frequently used terms such as “learning city,” “wise city,” “innovation city,” “digital city,” “e-city,” “sustainable (green) city,” and “wired city.” Secondly, it analyzes the characteristics of three models of defining the concept of a smart city such as the technological approach, sustainable development approach, and component-based approach. Thirdly, the article explores teleological, functional, and descriptive approaches to formulating definitions that can be applied in practice.
The author emphasizes the importance of having a comprehensive, purposeoriented definition or a series of definitions for the concept of a smart city in order to develop effective strategies at various levels, including local, regional, and national. It is pointed out that such a strategy should be based on the principles of sustainable development, human-centricity, transparency, and openness, while promoting education, partnerships, collaboration, while preserving security, confidentiality, and accessibility. The primary goal outlined in the strategic vision of a smart city should be to ensure the sustainable development of cities, enhance the well-being of people, and enable the safe utilization of advanced technologies and digital solutions.
The article proposes a working format for defining the concept, based on in-depth literature review and an overview of international perspectives. The findings are intended to have promising implications for the development of effective multi-level city development strategies for the sustainable recovery of Ukraine.
Implementation Of Company Environmental Policy In Terms Of Succeeding SDGs Program To Improve Public Health
Authors: Ramadhan Yanuar , Ona Delang Teresa , Indah Permatasari Lydia , Haryanto Prakasa Agris , Ferdiawan Erick
Published: July 2023

Sustainable development is a focus of various countries in the world which is based on the Big Agenda targeted by the World Organization, namely the United Nations. There are 17 Sustainable Development Goals assessment points, Indonesia is one of the 192 countries participating in adopting the SDG and continue to commit to implementing sustainable development programs. SDG become a common task for each community to strengthen mutual cooperation and synergize in an effort to create sustainable business processes that have a positive impact on people and the environment. As an effort of business people in responding to the bad effects of the global phenomenon, which includes the environment, health, and the economy, it is necessary to develop a strategy for the program implementation named sustainable development goals. The business activities of the company activity are expected not to ruin the natural ecosystem or the environment. The study was conducted at PT Meica Indo Teknik company. Two points of SDG to be the basis of discussion in this study are point 3 ” good health and welfare “ and point 15 ”maintain terrestrial ecosystems". The results of the two SDG points implementation that the company has implemented environmentally oriented sustainable development by prioritizing critical aspects, such as people, planet, prosperity, peace, and partnership. The company keeps to carry out health and welfare programs for the workers and the community around the company. The EHS program (environment, health, and safety) is a form of implementation of the achievement of health, safety, and environmental synergy in the company's business activities.
Segmentation Of Kartu Halo Customers Based On Lifestyle In Telkomsel Branch Manado
Authors: Wijaya Wandi , Hasbi Imanuddin
Published: July 2023

The sales of Kartu Halo products in Branch Manado every month at 2018 have increased significantly, this is indicated by the average increased in customer base from early January to August in 2018 of 982 customers. The increase of customer base also inline with the economic growth of North Sulawesi by 6.49% Year on Year in 2018. With the increase in economic growth, the level of expenditure in the city of Manado also increases every month, spending in the non-food sector reaches 50.76% of total monthly expenditure. 30.26% are in the goods and services sector. In large and developing cities in Indonesia has the potential for growth and lifestyle changes in terms of telecommunications services needs. Shifting of consumers behavior from wired communication to wireless mobile communication makes companies competitive to providing the best services and products to make company revenue increased. In Telkomsel, the Average Revenue Per User (ARPU) generated from Kartu Halo as a postpaid card product that contributed 3.68 times more than the ARPU Telkomsel prepaid product at the end of 2017. There are various methods by the company to increased revenue growth, one of them were increasing market share. To increase the market share can be increase the customer base with offering products according to the intended customer segment. The purpose of this studies were to find out how the segmentation of Kartu Halo customers in Branch Manado based on lifestyle activities, interests, and opinions from consumers. This research is classified as a type of explorative descriptive research whose data collection is carried out by distributing questionnaires to 420 samples through social media of Kartu Halo product users at Branch Manado. The results of the questionnaire obtained valid and reliable results with a Chronbach's alpha value of 0.907. By using the two steps cluster of cluster analysis, the results of this study indicate that there are two clusters, namely the first cluster Experientials, which have Education and average income doing research, in choosing products, and running activities online. And the second cluster is Functionalist, who spends money on something important and has a high level of confidence.
The Influence Of Organizational Culture, Work Discipline, And Organizational Citizenship Behavior On Organizational Commitment
Authors: Suherdi Suherdi , Ahmad Ahmad
Published: July 2023

This study aims to examine the influence of organizational culture, work discipline, and organizational citizenship behavior on organizational commitment and can make a theoretical and practical contribution to understanding the concept of organizational commitment.  This research was conducted in five sub-districts in the Southern Region, Lebak Regency, and Banten Province. Meanwhile, the research period was from February to May 2020. The random sampling technique was used in this study, and the total number of respondents was 66.  This study uses a quantitative survey research method using regression analysis techniques using SPSS version 20 software. Employee organizational commitment will increase as a result of organizational citizenship behavior.