bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of Giving Green Spinach Juice on Hemoglobin Levels Among Pregnant Women
Authors: Yusra Yusra , Sutarno Maryati
Published: November 2024

Aims: Knowing the effect of giving Green Spinach Juice on Increasing Hemoglobin Levels in Pregnant Women.
Methods : A quasi-experimental study design with one group pretest-posttest. In November 2023, 46 pregnant women had their pregnancy checks at PMB Nurida. The sample technique uses the purposive sampling technique.
Results : Pregnant women's average hemoglobin level was 9,104 mg/dl before ingesting spinach juice, and 10,770 mg/dl afterward. Giving green spinach juice has a significant effect on boosting hemoglobin levels in pregnant women (p value = 0.000).
Conclusions: Increasing the amount of hemoglobin in pregnant women is one of the effects that can be brought about by giving them green spinach juice. For the purpose of preventing anemia during pregnancy, it is planned that midwives will provide counseling to pregnant women, encouraging them to consume vegetables and fruit on a daily basis, particularly those that contain a high amount of iron contents.
Nursing Care for Septic Shock Patients Using Indonesian Nursing Standards: A Case Reports
Authors: Sugiharto Firman , Rahmi Harlasgunawan Alia , Sesilia Fitri , Heriyansyah Heriyansyah , Dos Reis Silvestre , Anna Anastasia
Published: November 2024

Aims: This case report aimed to identify gaps in applying the Nursing Standard Guidelines of the Indonesian Association in critical care, specifically focusing on patients with septic shock.
Methods: This study used a case report with a nursing care approach that includes an assessment to evaluation. Nursing care was provided to a patient who was experiencing septic shock, was on a ventilator, and had experienced organ failure.
Results: A 63-year-old man on mechanical ventilator was diagnosed with septic shock caused by community-acquired pneumonia. The nursing diagnoses for this case included impaired spontaneous ventilation related to respiratory muscle weakness, ineffective airway clearance related to the accumulation of secretions, peripheral tissue perfusion disorders related to changes in fluid regulation, and risk of infection. The study identified inappropriate nursing diagnoses, such as 'impaired spontaneous ventilation for patients on mechanical ventilation.
Conclusion: This study concludes that there are still several gaps in diagnosing and managing clinical conditions in critical cases. The nursing problem of impaired spontaneous ventilation should not have been identified as the patient was already on a ventilator. Additionally, there was no actual diagnosis for impaired organ perfusion or infection. This case report recommends further developing the Nursing Standard Guidelines of the Indonesian Nursing Association to optimize coverage of critical care. Recommendations include revising the Indonesian Nursing Diagnosis Standards to align with critical care needs. This enhancement will help nurses and clinicians in critical care not experience confusion when applying the current guidelines.
Managing Hypothermia in Emergency Exploratory Laparatomy: A Case Report
Authors: Wulandari Putu Aditya Ika , Raya Nyoman Agus Jagat
Published: November 2024

Aims: The writing of this case report aims to analyze the management of hypothermia in patients undergoing emergency laparotomy in the operating room.
Methods: This research method is a case report study with a retrospective approach by monitoring, interviewing, and using medical data of patients undergoing emergency exploratory laparotomy surgery in the Emergency Operating Room of Prof. Dr. I.G.N.G. Ngoerah Hospital. The data collected were the patient's disease course, diagnosis, actions, and nursing interventions.
Results: In both cases, the temperature was maintained between 35.5°C to 36°C using a combination of warm blankets, mattresses, and warmed NaCl.
Conclusion: This case report concludes that providing warm blankets, warm mattresses, and warm NaCl to wash the abdomen is beneficial in preventing perioperative hypothermia in patients undergoing emergency exploratory laparotomy. The operating room nurse is expected always to monitor the patient's temperature so as not to experience hypothermia.
Exploring the Impact of Social Support on Tuberculosis Treatment: A Thematic Review
Authors: Syamsir Syamikar Baridwan , Setiawan Agus , Supriyatno Heru , Yudanagara Bani Bacan Hacantya , Natashia Dhea , Mar'ah Novya Ashlahatul
Published: November 2024

Aims: Tuberculosis (TB) remains a critical global health issue, characterized by significant morbidity and mortality rates. Recent research highlights the potential of social support interventions to enhance TB treatment outcomes and improve patient quality of life. This study examines the positive effects of social support interventions on TB patients throughout their treatment process.
Method: Utilizing a traditional review approach, this study applies thematic analysis to synthesize findings from the literature. The review encompasses 17 articles selected from reputable databases, including PubMed, Wiley Online Library, ProQuest, and Google Scholar, based on predefined inclusion criteria. These articles underwent quality assessment using the Critical Appraisal Skills Programme (CASP) tool. The PRISMA flowchart provided transparency in the selection process.
Results: Key themes identified through the analysis include treatment adherence, psychological well-being, motivation to recover, health-related quality of life, prevention of TB transmission, successful TB treatment, and self-efficacy to recover.
Conclusion: The findings suggest that social support interventions can play a crucial role in addressing the persistent challenges of TB management globally.
The Effect of Leadership Style and Work Discipline on The Performance of Executive Nurses at Bhayangkara Setukpa Lemdikpol Hospital, Sukabumi City
Authors: Ede Abdul Rahman La
Published: November 2024

Aims: Nursing services require high performance, which can be influenced by factors such as work discipline and leadership style. The aim of this study was to analyze the effects of leadership style and work discipline on the performance of nurses at Bhayangkara Setukpa Lemdikpol Hospital in Sukabumi City.
Methods: This study employed a correlational design with a cross-sectional approach. The population comprised executive nurses at Bhayangkara Setukpa Lemdikpol Hospital in Sukabumi City, with a sample size of 68 individuals selected through total sampling. Data collection was conducted using questionnaires, and the statistical analysis was performed using simple linear regression and multiple linear regression tests.
Results: The results showed that there was a significant influence of leadership style (p=0.000) and work discipline (p=0.000) on the performance of executive nurses. And there is a simultaneous influence of leadership style and work discipline on the performance of executive nurses (p<0.05).
Conclusion: The findings of this study indicate a simultaneous influence of leadership style and work discipline on the performance of executive nurses. To enhance performance, it is recommended that the hospital provide guidance and support in developing leadership skills and promoting work discipline among the nursing staff. Such initiatives could lead to improved outcomes in nursing services and overall hospital effectiveness.
Factors Influencing The Incidence of Stunting in Toddlers in The Work Area of Kadudampit Health Center, Sukabumi District
Authors: Utami Rima Novianti
Published: November 2024

Aims: The purpose of this study was to identify the factors that influence the incidence of stunting in toddlers within the working area of Kadudampit Health Center, Sukabumi District.
Methods: This research employed a correlational design with a cross-sectional approach. The population consisted of all mothers with toddlers in Sukamaju Village, within the Kadudampit Health Center working area of Sukabumi District, totaling 362 respondents. A simple random sampling technique was used to select participants. Data analysis was conducted using the chi-square test and logistic regression analysis.
Results: There is a significant influence of maternal knowledge, parenting patterns, economic status, maternal education, and exclusive breastfeeding on the incidence of stunting (p < 0.05). Additionally, these factors collectively influence the incidence of stunting. Among these variables, economic status is the most dominant factor affecting stunting, with an odds ratio (OR) value of 13.207.
Conclusion: There is a simultaneous influence of maternal knowledge, parenting, economic status, maternal education, and exclusive breastfeeding on the incidence of stunting, with economic status being the most dominant variable affecting stunting.
The Relationship Between Blood Pressure Increase and Sleep Quality of Hypertension Sufferer in Lebaksitu Village
Authors: Friska Friska , Rohman Abdul , Hasanah Nurul Azizah
Published: November 2024

Aims: to determine the relationship between increased blood pressure and changes in sleep quality in hypertension sufferers.
Method: The study design used a correlational approach with a cross-sectional method. The number of samples was 66 respondents using a purposive sampling technique. Data collection techniques used a sleep quality questionnaire and standardized manual blood pressure measuring instrument. Data processing included editing, coding, entry and cleaning with the SPSS application to analyze univariate and bivariate.
Results: this study showed that the majority of blood pressure in hypertension sufferers was in the grade I category of 45.6% with poor sleep quality of 81.8%. The results of this study also showed a significant relationship between increased blood pressure and sleep quality in hypertension sufferers with a significance value of 0.028 (<0.05).
Conclusion: Increased blood pressure causes headache symptoms in hypertension sufferers which disrupts the sleep cycle and worsens the quality of sleep in hypertension sufferers.
The Effect of Digital Problem Solving Therapy on Quality of Life in Pregnant Women Who Are Victims of Domestic Violence
Authors: Putri Dian Priharja , Lindayani Linlin , Mutiar Astri , Darmawati Irma
Published: November 2024

Aim: This study aims to determine the effect of digital problem-solving therapy (DPST) on the quality of life (QOL) of pregnant women who are victims of domestic violence.
Methods: The research was conducted using a quasi-experimental design with two groups: an intervention group receiving digital problem-solving therapy and a control group receiving standard care. The study took place over three months at the National Commission on Violence Against Women service centers and referral hospitals in Bekasi City, West Java. The intervention involved four sessions per month focusing on psychological well-being and QOL. A total of 100 pregnant women participated, meeting the criteria of being over three months pregnant, having experienced domestic violence, owning a smartphone, and living with their husbands.
Results: The results showed a statistically significant increase in QOL scores within the intervention group after the therapy, with a t-score of 13.76 and a p-value of 0.001. Additionally, the intervention group exhibited a larger improvement in QOL at post-test compared to the control group (ß = 8.20, p < 0.001).
Conclusion: Digital problem-solving therapy significantly improves the quality of life of pregnant women experiencing domestic violence. Future studies should explore the effectiveness of this intervention among more diverse research groups, focusing on participants with varied mental health and psychological characteristics.
Overview of Resilience in High School Students
Authors: Yosep Iyus , Mardhiyah Ai , Maulana Indra , Lukman Mamat , Hikmat Rohman
Published: November 2024

Aim: This study aims to determine the description of resilience in students at Bandung High School.
Method: This study used a descriptive design with purposive sampling technique, involving 100 respondents consisting of students from grades X to XII aged 12 to 19 years. Data were collected using the Connor-Davidson Resilience Scale (CD-RISC), which consists of 25 statements with a score range of 0-100. The results of the validity and reliability tests showed that the instruments used were valid and reliable.
Results: The results showed that 30% of respondents had a high level of resilience (30 students), 42% were at a moderate level of resilience (42 students), and 28% had low resilience (28 students). The average resilience score was 60.94, with a score range between 35 and 100. These findings indicate the need for special attention to students with low resilience, who are at risk for psychological problems such as anxiety and depression. Social support, coping skills, and specially designed intervention programs can help improve resilience among students.
Conclusion: This study underscores the importance of understanding high school students’ resilience levels to support their mental and academic well-being. More effective support programs for students with low resilience are needed, as well as further research to explore factors that influence resilience.
The Correlation of Coping Strategies, Perceived Social Support, and Self-Reported Anxiety among Nursing Students during the COVID-19 Outbreak
Authors: Lainsamputty Ferdy , Gerungan Nova
Published: November 2024

Aims: This study aims to investigate the correlation between coping strategies, perceived social support, and anxiety among nursing students during the COVID-19 pandemic.
Methods: A descriptive, correlational, cross-sectional study. Total sampling technique was used to recruit 106 nursing students. Data were collected using the Coping Strategies Inventory Short-Form (CSI-SF), the Multidimensional Scale of Perceived Social Support (MSPSS), and the Generalized Anxiety Disorder-7 (GAD-7). Pearson correlation was employed to examine the relationships between key variables.
Results: Anxiety was significantly correlated with engagement (r = 0.192, p = 0.049), disengagement (r = 0.264, p = 0.006), emotion-focused engagement (r = 0.222, p = 0.022), and emotion-focused disengagement (r = 0.325, p = 0.001). However, social support and its subscales were not significantly correlated with anxiety (r = -0.007 to 0.147, p > 0.05).
Conclusions: The study suggests that students with higher anxiety tend to adopt more coping strategies, suggesting that targeted training, social support networks, and personalized interventions can improve their mental health.
Investigating the Origins of Satan: Tracing the Connection to the Egyptian God Set
Authors: Cheraghi Zhaleh
Published: November 2024

This research study delves into the origins of Satan, exploring the potential link between Satan and the Egyptian deity Set. The investigation draws upon primary sources, including papyrus papers documenting the attributes and worship of Set, as well as biblical texts referencing Satan. The study aims to establish that Satan can be understood as an aspect derived from Set, through an analysis of their name roots, associated elements, symbols, and the roles they fulfill within the religious texts and beliefs in which they are portrayed. By examining the textual and cultural evidence surrounding these figures, this research seeks to shed light on the possible historical and theological connections between them. The findings of this research contribute to a deeper understanding of the complex interplay between ancient religious traditions and the development of symbolic and mythological figures across different cultures and time periods and give a deeper understanding from literature and religious proses by understanding the roots and origins behind it.
Urban Flood Resilience: Risk and Business Continuity Management Systems Strategic Approach
Authors: Marolla Cesar
Published: November 2024

Climate change and expanding urbanization present significant challenges for urban planning in attaining sustainable urbanization and development. Rapid and continual urbanization exacerbates flooding by increasing the number of impervious surfaces and altering flow paths. Flooding episodes and the risk they provide in metropolitan areas are a severe problem with global consequences. Urban areas require a resilience-based risk management approach to build capacity, adapt, and minimize flood risks, which have negative consequences for infrastructure, health, and the environment, including roads, buildings, and homes, as well as disrupt transportation routes and commercial supplies. I propose an alternative planning and managerial strategy for urban flood hazard management based on urban risk management frameworks, which combines risk management and continuity management systems to address urban system vulnerabilities through environmental changes. Using best practices throughout project design and implementation can improve operational efficiency; including the community, and link risk assessment processes with disaster recovery efforts.
Public Sphere Creates Independence for Coastal Women in Encouraging the Household Economy of Small-Scale Fishermen in Karangsong Village, Indramayu Regency
Authors: Anisti Anisti , Sarwoprasodjo Sarwititi , Sumardjo Sumardjo , Amanah Siti
Published: November 2024

Marine climate change has resulted in a decline in the economic level of fishermen, especially small-scale fishermen who depend on marine resources to meet their daily needs. In addition, the poverty experienced by fishermen reflects economic vulnerability due to low and unstable incomes, which are caused by fluctuating market prices, a lack of alternative livelihoods, insufficient cooperation and support networks, and the prevalence of illegal fishing practices. By carrying out dialogue in the public sphere effectively, a supportive environment can be created for small-scale fishermen to optimize the potential of the public sphere in improving the family economy through increasing human resource skills. In this framework, coastal women play a vital role in the economic activities of small-scale fishermen's households through alternative economies. This research aims to investigate the role of dialogue in the public sphere to improve the economy of small-scale fishermen in coastal areas and explore the role of women in efforts to improve the family economy. This research uses a qualitative descriptive method with a case study approach. The research results show that dialogue in the public sphere has been recognized as a means of building better understanding between various parties in society, as well as the importance of involving women in family economic decision-making. This research provides implications from the concept of dialogue theory in the public sphere, reflecting the concept of community participation and creating mutual agreement through open communication and the exchange of ideas in formulating solutions to improve the family economy.
Cleanliness and Health Of Pa.So.La Kitchen, The Ritz Carlton Jakarta Pacific Place
Authors: Auliya Anisatul , Prianti Diani , Fajrin Annisa Nurul
Published: November 2024

By implementing good hygiene and sanitation practices, employees can carry out their duties efficiently and produce high-quality food in Pa.So.La Kitchen, The Ritz-Carlton Pacific Place Hotel, which aligns with the hotel's motto, "We Are Ladies And Gentlemen Serving Ladies And Gentlemen". Data were collected through observation, interviews, and information from The Ritz-Carlton Pacific Place Hotel. This study shows that The Ritz-Carlton Jakarta Pacific Place Hotel's procedures have mostly met the company's standards regarding hygiene and sanitation. The benefits of this implementation include cleanliness of the kitchen area, adequate kitchen facilities, employee health, and the use of quality cleaning materials.
The Role of Rimbun Conservation Village in Encouraging Nature Conservation and Improving Environmental Image
Authors: Setiawan Ozi , Ramdani Doni
Published: November 2024

Rimbun Conservation Village has the potential as a model for sustainable ecotourism development amid global environmental challenges. This research aims to explore the effectiveness of Rimbun Conservation Village's role in environmental preservation and ecological image enhancement through ecotourism activities. The method used in this research utilizes qualitative methods, which include interviews, direct observation, and documentation. The results showed that Rimbun Conservation Village succeeded in raising community and tourist awareness of the importance of conservation, although there are some aspects that need to be improved, such as cleanliness, adequate facilities and accessibility. In addition, the participation of the community and tourists in activities such as tree planting and educational programs proved to provide economic benefits and increase tourist engagement. The main conclusion of this study is that Rimbun Conservation Village not only serves as a recreational center, but also as a living example of the harmonization between nature conservation and economic growth. To attract more tourists, it is recommended that the manager improve facilities and implement more effective digital marketing strategies. This research is expected to contribute to the development of ecotourism in other more sustainable tourist destinations in Indonesia.
Hur kan vi organisera undervisningen på lågstadiet så att eleverna lär sig att värdera resultat i egna undersökningar?
Authors: Åkerlind Paulsson Marie , Weiland Maria , Björnhammer Sebastian , Anderhag Per
Published: November 2024

Naturorienterande undervisning i grundskolan ska ge eleverna möjlighet att genomföra systematiska undersökningar, vilket ofta kräver laborativa moment. Forskning visar att sådana moment ofta har flera syften, vilket kan göra att fokus på naturvetenskap som process förloras. En särskilt viktig del är att lära sig värdera resultat. Men elever har ofta svårt för det eftersom de inte får tillräcklig träning i att analysera data och prata om möjliga felkällor när de tolkar sitt resultat. Syftet med den här artikeln är att visa exempel på hur NO-undervisningen på lågstadiet kan organiseras för att stärka elevernas förmåga att värdera resultat. Undervisningen planerades och analyserades med hjälp av den didaktiska modellen Organiserande syften. En klass i årskurs 2 genomförde nio lektioner om friktion, där fyra centrala lektioner fokuserade på att testa vilket material som gled snabbast nedför en ramp. Lektionerna utformades för att ge eleverna en aktiv roll i både utformningen och utvärderingen av undersökningarna och elevernas synpunkter och förslag användes i planerandet av efterkommande lektion.
MORPHOLOGICAL ANALYSIS OF COMPOUNDING IN THE NOVEL THE BURNING MAZE: THE TRIALS OF APOLLO BY RICK RIORDAN
Authors: Mulyaningtyas Lintang Ayu , Khoirunnisa Avicenia Nasywa , Kusuma Novelia Salsa Dara , Jumanto Jumanto
Published: November 2024

This research concerned a morphological analysis of compounding within The Burning Maze: The Trials of Apollo by Rick Riordan. This study morphologically described the importance of language in conveying deep emotion and thematic richness. This descriptive qualitative linguistic research employed the observation and auto-expert judgment methods for the data collection and morphological note-taking techniques for the data analysis. The results revealed patterns of word combinations that contributed to the linguistic richness and depth of the themes. The discussion interpreted these findings in the context of the novel’s storytelling, providing further understanding of the role of morphology in character development and plot complexity. The results showed that compounding in The Burning Maze: The Trials of Apollo by Rick Riordan had a combination of elements with the form of the Noun (N) + Verb (V); Noun (N) + Noun (N); Verb (V) + Verb (V); Adjective (Adj) + Noun (N); Verb (V) + Noun (N); Adverb (Adv) + Noun (N); Noun (N) + Adverb (Adv); Adjective (Adj) + Verb (V); Adjective (Adj) + Adjective (Adj); Adverb (Adv) + Adjective (Adj); Verb (V) + Adverb (Adv); Noun (N) + Adjective(Adj); Verb (V) + Adjective (Adj). Besides revealing linguistic nuances in literary works, this research has strived to deepen our understanding of the intricate layers within literature, showcasing how the careful selection of words enhanced the reader’s immersive journey into the literary landscape.
Assessing temporal variability in durum wheat performance and stability through multi-trait mean performance selection in Mediterranean climate
Authors: Sellami Mohamed Houssemeddine , Di Mola Ida , Ottaiano Lucia , Cozzolino Eugenio , De Vita Pasquale , Mori Mauro
Published: November 2024

Durum wheat, a staple crop in Italy, faces substantial challenges due to increasing droughts and rising temperatures. This study examines the grain yield, agronomic traits, and quality of 41 durum wheat varieties over ten growing seasons in Southern Italy, utilizing a randomized complete block design. Notably, most varieties were not repeated between trials and 45% of the data was missing. The results indicate that the interaction between genotype and environment (GEI) significantly impacted all traits. High temperatures, elevated vapor pressure deficit (VPD), and water deficits severely affected yield and quality during warm years, while cooler years with favorable water availability promoted better growth and higher yields. Broad-sense heritability (H²) was generally low, suggesting that environmental factors played a major role in the observed traits. However, some traits, such as grain yield, ears per square meter, plant height, bleached wheat, thousand-grain weight, and hectoliter weight exhibited moderate to high heritability of the mean genotype (h²mg), indicating their potential for effective selection in breeding programs. Correlation analyses revealed strong connections between certain traits, such as protein content, and gluten index as well as between grain yield, and spike per square meter. Using the Multi-Trait Mean Performance Selection (MTMPS) index, the study identified six top-performing varieties. Among these, Antalis (G4) and Core (G18) consistently demonstrated strong adaptability and stability across different environments, particularly in hotter, drier conditions. Furio Camillo (G31) also exhibited valuable traits. This study highlights the challenges and complexities of breeding durum wheat for improved yield and quality in the face of climate change.
Effect of foot strike patterns and angles on the biomechanics of side-step cutting
Authors: Yi Fan , Jianchao Zhao , Wen Zhu , Ke Liu , Yantao Lou
Published: November 2024

Objectives

The study aimed to determine how foot strike patterns and cutting angles affect lower extremity (LE) kinematics, kinetics, and muscle activity during side-step cutting.

Methods

Twenty male college sport athletes participated in this research. Three-dimensional motion analysis featuring ground reaction force (GRF) and electromyography (EMG) of the dominant leg was used. LE kinematics, kinetics, and EMG data parameters were obtained during a 45° and 90° side-step cutting involving rearfoot strikes (RFS) and forefoot strikes (FFS).

Results

The significant foot strike pattern × angle interactions were observed for the ankle eversion range of motion (ROM) at the loading phase. Cutting of 90° had greater knee flexion ROM, knee valgus ROM, and knee varus moment compared to that of 45°. RFS cutting had greater knee flexion, hip flexion, knee valgus, knee varus moment, knee varus moment, and ankle eversion ROM. FFS cutting produced a lower vertical GRF, lateral GRF, and a loading rate. Both vastus medialis and vastus lateralis muscle activities were remarkably greater during cutting of 90° than 45°. At the loading phase, semitendinosus, biceps femoris, and the lateral head of gastrocnemius muscle activities during FFS cutting were considerably greater than those during RFS cutting.

Conclusion

The FFS pattern can better protect the anterior cruciate ligament (ACL) and improve the flexibility of athletes by increasing the plantarflexion torque of the ankle. The injury risk also increases with the larger cutting angle. The EMG activities of semitendinosus and biceps femoris are vital for the stability of knee joint during side-step cutting, which helps reduce ACL stress during buffering.
Bridging research and practice: developing beekeeping knowledge and innovation systems
Authors: Fabricius Kristiansen Lotta , Ljung Magnus , Blix Germundsson Lisa , McCormick Kes
Published: November 2024

This paper presents the concept of a Beekeeping Knowledge and Innovation System (B-KIS). This concept is closely related to the Agricultural Knowledge and Innovation System (AKIS) – both theoretically and methodologically. By adopting a B-KIS approach we can: a) depict the general structure and functioning of activities aiming for knowledge development, innovation and learning within the apicultural sector; b) improve understanding of how services for beekeepers are embedded into national B-KIS; and c) provide some conceptual elements to support the development of a national or regionally adapted communication strategy for improved sustainability of beekeeping. From a policy perspective, it is important that the B-KIS becomes integrated into the national strategic AKIS plans.
Developing remote patient monitoring infrastructure using commercially available cloud platforms
Authors: Cao Minh , Ramezani Ramin , Katakwar Vivek Kumar , Zhang Wenhao , Boda Dheeraj , Wani Muneeb , Naeim Arash
Published: November 2024

Wearable sensor devices for continuous patient monitoring produce a large volume of data, necessitating scalable infrastructures for efficient data processing, management and security, especially concerning Patient Health Information (PHI). Adherence to the Health Insurance Portability and Accountability Act (HIPAA), a legislation that mandates developers and healthcare providers to uphold a set of standards for safeguarding patients’ health information and privacy, further complicates the development of remote patient monitoring within healthcare ecosystems. This paper presents an Internet of Things (IoT) architecture designed for the healthcare sector, utilizing commercial cloud platforms like Microsoft Azure and Amazon Web Services (AWS) to develop HIPAA-compliant health monitoring systems. By leveraging cloud functionalities such as scalability, security, and load balancing, the architecture simplifies the creation of infrastructures adhering to HIPAA standards. The study includes a cost analysis of Azure and AWS infrastructures and evaluates data processing speeds and database query latencies, offering insights into their performance for healthcare applications.
Quantification of streamflow response to climate change and human activities within upstream mountainous areas of the Daqing River Basin, Northern China
Authors: Li Zengyi , Chen Weifan , Wang Linna
Published: November 2024

The Daqinghe River Basin is located in the North China Plain. In recent years, however, climate warming, drying, and intense human activities have led to declining ecosystem functions and shrinking wetlands in the region. Understanding streamflow changes in the upstream mountainous areas of the Daqinghe River Basin in this changing environment and identifying the driving factors can provide a scientific basis for water resources management and optimization in these areas. This study focuses on the Beihedian River watershed, the Xidayang Reservoir watershed, and the Wangkuai Reservoir watershed in the upstream mountainous areas of the Daqinghe River. It is based on hydro-meteorological data collected between 1963 and 2019. The methods used in the study include the linear tendency estimation method, the non-parametric Mann-Kendall trend test, the elasticity coefficient method, and hydrological simulation methods. The results of this study suggest that the streamflow, precipitation, and potential evapotranspiration (PET) in the three watersheds showed an overall decreasing trend. The minimum precipitation decrease rate ranged from −1.09 to −0.55 mm/a, and the minimum streamflow decreasing rate at the Beihedian Hydrological Station was −1.32 mm/a, with a minimum range of 0–176.03 mm. Change-point analysis revealed that the streamflow in the Beihedian River and Xidayang Reservoir watersheds experienced a significant change point around 1999, with a significant level of α=0.05. As for the Wangkuai Reservoir watershed, a significant change point was observed around 1980, which is likely attributable to land system reforms and protective forest projects. The attribution analysis which combined both climate change and human activities using the elasticity coefficient method and hydrological simulation methods indicated that climate change contributed an average of 32.93%, 34.50%, and 35.12% to the reduction in streamflow in the three watersheds, respectively. Human activities accounted for an average contribution of 67.07%, 65.50%, and 64.88%, respectively. Water conservancy projects, afforestation, and other human activities were identified as the primary factors contributing to streamflow decreases.
A focus group study of students’ expectations of digital onboarding tools in higher education
Authors: Schilling Hannes , Hirschberger Stephanie , Kauffeld Simone
Published: November 2024

In higher education, the array of roles performed by digital tools has been increasing rapidly. While some areas of higher education, such as teaching, already employ digital tools, the use of such tools in student onboarding has not yet been thoroughly explored. This study sought to develop a better understanding of student perspectives regarding digital onboarding tools through an investigation that built on the technology acceptance model and expectancy–value theory. The goal was to identify what students expect from digital onboarding tools concerning, for example, content and design. To this end, we examined the data from five focus groups using qualitative content analysis. The results revealed that students expect the design of digital onboarding tools to feature websites that are usable on mobile devices and that such a tool should be readily available for their use independently of time and place. Our study also found that digital onboarding tools can influence students’ motivation to study. The learnings for higher education institutions are that digital onboarding tools should enhance easy information gain and provide opportunities that foster early socialization with fellow students.
Factors that support teachers as educational professionals doing doctoral studies: an integrative literature review
Authors: Van Doorsselaere Joris
Published: November 2024

In recent decades, various initiatives have been established to support the professional development of teachers and their school context. In some cases, they provide teachers the opportunity to combine their profession with doctoral studies. This paper explores factors that support teacher research as part of school practice and academia. It takes the perspective of teachers as a starting point and examines their experiences through the lens of the learning potential of boundaries. A review of empirical studies was conducted from various international educational contexts through an integrative literature review. The selected empirical studies (n = 13) contributed to a better understanding of the complexity of this undertaking, and three themes were generated as main factors: (1) a stimulating school culture; (2) engaging with the academic community; (3) and aligning the research design with the practitioners’ needs.
Identifying the genetic association between severe autoimmune type 2 diabetes and the risk of focal epilepsy
Authors: Wu Huanhua , Liao Kai , Li Ying , Tan Zhiqiang , Zhou Ziqing , Zeng Chunyuan , Gong Jian , Wang Huadong , Xu Hao , Hu Youzhu
Published: November 2024

Background

Observational studies suggested a bidirectional relationship between severe autoimmune type 2 diabetes and focal epilepsy. However, it remains debated whether and in which direction a causal association exists. This genetics-based study aimed to explore the relationships of severe autoimmune type 2 diabetes (T2DM) and focal epilepsy outcomes with two sample Mendelian randomization (TSMR) method.

Methods

Genetic instruments were obtained from large-scale genome-wide meta-analysis of severe autoimmune T2DM (Ncase = 452, Ncontrol = 2,744), and focal epilepsy (Ncase = 929, Ncontrol = 212,532) of European ancestry. A series of analyses were performed to select eligible genetic instruments robustly associated with each of the traits using summary-level statistics. Inverse variance weighted was used for primary analysis, with alternative 11 MR methods. A scatter plot was utilized to illustrate the association between single nucleotide polymorphism (SNP) effects on the exposure and SNP effects on the outcome. The Wald ratio for individual SNPs and their cumulative effects was depicted using a forest plot. And diagnostics and sensitivity analyses were used to evaluate if the causal estimates are robust to violations of MR underlying assumptions, including pleiotropy, heterogeneity assessment, and leave-one-out analysis. Then the results were validated using CURATED database of DisGeNET platform.

Results

For forward analysis, genetic predisposition to severe autoimmune T2DM was associated with an increased risk of focal epilepsy (Inverse variance weighted (IVW) method: OR = 1.11, 95% CI = 1.03-1.18, p = 0.012). For reverse analysis, there was no enough instrument variables of focal epilepsy on severe autoimmune T2DM. Further, the interrelation between severe autoimmune T2DM and focal epilepsy was demonstrated via variant-disease association network analysis using the instrument SNPs.

Discussion

This MR study supports a causal link between severe autoimmune T2DM and focal epilepsy. More effort should be made to screen seizure in severe autoimmune T2DM, unravel its clinical implications, and explore its role as a putative modifiable risk factor.
Investigation of risk signatures associated with anoikis in thyroid cancer through integrated transcriptome and Mendelian randomization analysis
Authors: Chen Xiang-Yi , Lai Jia-Ying , Shen Wen-Jun , Wang Dawei , Wei Zhi-Xiao
Published: November 2024

Background

Anoikis is intricately associated with the malignant progression of cancer. Thyroid cancer (THCA) is the most common endocrine tumor, metastasis is closely related to treatment response and prognosis of THCA. Hence, it is imperative to comprehensively identify predictive prognostic genes and novel molecular targets for effective THCA therapy.

Methods

Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were utilized to mine differentially expressed anoikis-related (DE-ARGs). Then, the prognostic genes were identified and a risk signature was constructed for THCA using univariate Cox analysis and least absolute shrinkage and selection operator (LASSO) method. Furthermore, the associations between risk signature and immune infiltration, immunotherapy, as well as potential mechanisms of action were determined using multiple R packages and Wilcoxon test. Finally, Mendelian randomized (MR) analysis was conducted to investigate the causal relationship between the prognostic genes and THCA.

Results

In total, six prognostic genes (LRRC75A, METTL7B, ADRA1B, TPD52L1, TNFRSF10C, and CXCL8) related to anoikis were identified, and the corresponding risk signature were constructed to assess the survival time of THCA patients. Immunocorrelation analysis demonstrated the anoikis-relevant risk signature could be used to evaluate immunotherapy effects in THCA patients, and the infiltration of immune cells was correlated with the degree of risk in THCA patients. According to two-sample MR analysis, there was the significant causal relationship between CXCL8 and THCA (odds ratio [OR] > 1 & p< 0.05), and the increase of its gene expression would lead to an increased risk of THCA. Furthermore, real-time quantitative polymerase chain reaction (RT-qPCR) confirmed the upregulated expression patterns of these prognostic genes in THCA tissues.

Conclusion

In conclusion, we constructed the risk signature related to anoikis for THCA, which might have important clinical significance for improving the quality of life and treatment effect of THCA patients.
LCL APF control strategy based on model predictive control
Authors: Jiang Shaoyan , Du Lifeng , Li Yongjian , Yang Le , Luo Binbin
Published: November 2024

In order to further control harmonic current in distribution network, a LCL APF control strategy based on model predictive control is proposed. Firstly, APF mathematical model is established. Then, a multi-objective optimization model predictive control strategy (MPC) is proposed, which comprehensively considers the performance of AC side and DC side of APF. This strategy solves the delay problem existing in the existing MPC strategy: while improving the performance of APF, there is no need to set weight factor; Then, Kalman filter is used to predict the inverter current, thus simplifying the APF measurement system. Finally, the simulation results show that the proposed control strategy can simplify the measurement system and make APF have stronger harmonic suppression ability when it only participates in power conversion and better active filter performance when it participates in harmonic control.
A unified LOD model for river network and DEM based on an improved 3D_DP algorithm
Authors: Dou Shiqing , Wang Han , Xu Yong , Deng Yuanxiang , Zhang Wenjie , Zhang Weidong
Published: November 2024

The level of detail (LOD) modelling of vector and terrain data is individual, resulting in geometric and topological inconsistencies in simplification processes. The three dimension Douglas Peucker (3D_DP)algorithm can realize gradual discrete point selection through threshold, which is mainly used in DEM synthesis, and its simplified process is very suitable for the dynamic establishment of massive data sets. A new LOD modeling method based on 3D_DP algorithm is proposed to simplify the consistency of river network vector elements and DEM in this paper. The specific steps are as follows: Firstly, the “Bending Adjustment Index (BAI)” is introduced to improve the 3D_DP algorithm, called the improved 3D_DP algorithm; Secondly, the DEM data is extracted into a 3D discrete point dataset, and the river line vector data is also converted into a discrete point dataset, assigned with elevation attributes, and merges with the DEM’s 3D discrete points. The merged point datasets are equenced based on the importance of each point, which are computed by the improved 3D_DP algorithm. The order of deleting points is determined by the sequence and the corresponding model spatial errors are calculated with the deletion of points. Then, the DEM’s 3D discrete points are constructed a Delaunay network with the river line as a mandatory constraint condition. The required triangulation is called in real time with the change of sight distance depending on the simple correspondence between screen projection error and model space error, and the unified LOD model for river line vector and DEM is established. The results show that the river’s overall shape and the terrain’s main features can be reserved under the same simplified factor based on the improved 3D_DP algorithm. The unified LOD model for the river network and DEM is feasible under the importance sequence of merged point datasets by the improved 3D_DP algorithm. Under the proper operation of data blocking, the rendering frame rate can meet practical application requirements.
How does the National Key Ecological Function Area policy affect the upgrading of the industrial structure?—based on the examination of the Yellow River Basin in China
Authors: Zhang Yuqian , Luo Huanqi , Su Chenchen , Li Yue , Xu Chen , Wang Huijuan
Published: November 2024

The transformation and upgrading of the industrial structure constitute a pivotal task for sustainable economic development, and the factors influencing this process are also of concern to developing countries around the world. Unfortunately, there is still relatively little systematic discussion on the impact of environmental policy on the industrial structure. Against this backdrop, we have employed the multi-period differences-in-differences (DID) model to assess the impact of the implementation of the National Key Ecological Function Area (NKEFA) policy on the industrial structure in the Yellow River Basin. Our findings reveal that this environmental policy fosters the advancement of industrial structure but does not influence its rationalisation. Regarding mediating effects, we confirm the positive impacts of population density and the investment in education. Furthermore, the policy effects are more pronounced in non-ethnic provinces with better basic conditions, whereas ethnic provinces exhibit almost no effect. The policy effects are more significant in large cities than in small and medium-sized cities. These findings enrich the existing exploration of the impact of environmental policy on industrial structure and provide a strong reference for policy practice in developing countries.
Study on optimization of maize irrigation scheduling in Shaanxi Province
Authors: Chen Kaijie , Liu Kejie , Fang Xudong
Published: November 2024

With the impact of climate change in recent years, the instability of precipitation and the increase of evaporation have made water resources in Shaanxi Province more and more stressed. How to maintain stable economic development while ensuring the sustainable development of agriculture within the limited water resources has become an important issue facing Shaanxi Province. This paper analyzes the temporal and spatial distribution characteristics of maize irrigation water requirement in Shaanxi Province based on meteorological data and obtains the ideal irrigation water requirement. However, considering the agricultural water scarcity issue in this region, this paper establishes different water scarcity scenarios, adopts the Jensen model to construct an objective function aimed at minimizing crop yield reduction, and solves it using a genetic algorithm to obtain the optimized maize irrigation scheduling under different water scarcity scenarios. The results analysis indicates the following: (1) The effective rainfall in Shaanxi Province from 1960 to 2019 shows a slight upward trend, while the maize water requirement and maize irrigation water requirement shows a downward trend. (2) The spatial distribution of maize irrigation water requirement in Shaanxi Province decreases gradually from north to south. High-value areas are mainly distributed in the northern regions of Yulin City and Yan’an City in Shanbei. Low-value areas are distributed in Ankang City in Shannan. (3) In the face of water scarcity, spring maize should ensure water use during the middle growth period, fast development period, and initial growth periods. Under the same water scarcity conditions, the yield reduction rate is the highest in Guanzhong, followed by the Shannan, and the lowest in Shanbei. This paper aims to provide a scientific and reasonable optimization plan for maize irrigation in Shaanxi Province by calculating and analyzing the maize irrigation water requirement in Shaanxi Province, combined with optimization tools such as genetic algorithms, to address the challenges brought by water resource constraints.