bluuebunny/crossref_metadata_2025 huggingface dataset:
Hubungan Minat Belajar dan Disiplin Belajar dengan Hasil Belajar Materi Makna Tari Siswa Kelas X Di SMKN 7 Bekasi
Authors: Syifahani Aulia , Triana Dinny Devi , Kartika Mutiara Sari
Published: September 2023

Penelitian ini bertujuan untuk menganalisis hubungan antara minat belajar dan disiplin belajar dengan hasil belajar siswa pada mata pelajaran seni budaya materi makna tari. Metode penelitian yang digunakan adalah metode kuantitatif dengan pendekatan korelasional. Populasi pada penelitian ini adalah seluruh murid kelas X SMKN 7 Bekasi dengan jumlah 385 orang. Sampel dalam penelitian ini diambil menggunakan rumus Slovin, dengan ukuran sampel sebanyak 197 orang. Pengumpulan data dilakukan dengan teknik angket. Hasil penelitian menunjukkan bahwa: 1) Terdapat hubungan signifikan yang positif antara minat belajar dengan hasil belajar materi makna tari pada siswa kelas x di SMKN 7 Bekasi sebesar 46,2% dengan (r) 0,462. 2) Terdapat hubungan yang signifikan yang posistif antara disiplin belajar degan hasil belajar materi makna tari pada siswa kelas x di SMKN 7 Bekasi sebesar 22,8% dengan (r) 0,228. 3) Terdapat hubungan signifikan yang positif antara minat belajar dengan disiplin belajar materi makna tari pada siswa kelas x di SMKN 7 Bekasi sebesar 54,8% dengan (r) 0,548. 4) Terdapat hubungan signifikan yang positif antara minat belajar dan disiplin belajar dengan hasil belajar materi makna tari pada siswa kelas x di SMKN 7 Bekasi sebesar 30% dengan (r) 0,300.
Development of an Endoscopic Spine Surgery Program
Authors: Stone Benjamin K. , Paradkar Ria , Anderson George M. , Daniels Alan , Iyer Sravisht , Derman Peter B. , Telfeian Albert E. , Basques Bryce
Published: September 2023

Endoscopic spine surgery (ESS) is an innovative technique allowing for minimally invasive, direct visualization of spinal abnormalities. The growth of ESS in the United States has been stunted by high start-up costs, low reimbursement rates, and the steep learning curve associated with mastering endoscopic techniques. Hergrae, we describe the current state and future direction of ESS and provide key action items for ESS program implementation.
The Influence Of Knowledge-Based Hrm Practices And Intellectual Capital On Innovation Performance Of Private Hospital Employees
Authors: Santoso Imam , Indrawati Ratna , Nugroho Sukmo Hadi
Published: September 2023

Innovation performance is important in influencing human resource management to be able to bring progress to the hospital. Innovation performance is strongly influenced by many aspects, such as knowledge-based human resource management which influences intellectual capital (human capital, structural capital, and relational capital). This research involved 81 hospitals and 221 employees (managers/leaders of private hospitals) in the Greater Jakarta area. This type of research is deductive, and data collection by distributing questionnaires. The analytical method used is the Structural Equation Model (SEM). The results obtained from this study are that knowledge-based HRM practices have direct and indirect effects on human capital, structural capital, and innovation performance. Furthermore, human capital can influence structural capital and innovation performance. Human capital also plays a role in mediating the relationship between knowledge-based HRM practice and structural capital and innovation performance, but it fails to mediate the relationship between knowledge-based HRM practice and relational capital. In addition, this research also proves that structural capital can mediate the relationship between knowledge-based HRM practice and innovation performance. Intellectual capital can affect innovation performance. Finally, knowledge-based HRM practice and human capital cannot influence relational capital, so relational capital cannot mediate the relationship between knowledge-based HRM practice and innovation performance.
THE EFFECT OF ENVIRONMENTAL, SOCIAL, AND GOVERNANCE (ESG) DISCLOSURE ON THE COMPANY'S MARKET VALUE IN INDONESIA
Authors: Dewi Atika Kusuma
Published: September 2023

This study aims to analyze the effect of Environment, Social Governance (ESG) disclosures on the market value of companies in Indonesia during the COVID-19 pandemic. The sample consists of Indonesian companies listed in the SRI-KEHATI index for 2020-2021. The data was taken from Bloomberg and then analyzed using the regression model. The findings show that ESG disclosure has a significant effect on the company's market value. The results of this study add new evidence to previous findings about the effect of information disclosure, especially related to the environment, social and governance and confirm the signaling theory. The implications of this research are expected to provide investors with material considerations in determining investment. In addition, disclosure of ESG which has a positive influence on market value is expected to contribute to increasing the application of sustainability aspects in the business world in Indonesia. This study has several limitations, namely limited access to websites providing ESG disclosure score data. In addition, the variables used to look at market value factors only use ESG, which based on the results of data processing, there are more than 80% of other factors that can affect market value.
The Effect Of Brand Image And Electronic Word Of Mouth In Social Media Instagram Toward On Purchasing Decision Of Xiaomi Smartphone
Authors: Ramdani Dias Wahyu , Kusumahadi Krishna
Published: September 2023

This study aims to seeing how big the relationship and the role that occurs between the brand image and electronic word of mouth in social media instagram toward on purchasing decisions of Xiaomi Smartphone. In this study used descriptive and causal research methods.The research method used in this study is a quantitative method. , there are two main variables that are the focus of this research. The brand image and electronic word of mouth variables are independent variables, hereinafter referred to as the independent variable (X), which is a type of variable that explains or influences other variables. Meanwhile, the purchase decision variable is the dependent variable or dependent variable (Y), which is a type of variable that is explained or influenced by the independent variable. The results of hypothesis testing can be concluded that brand image has a positive effect on the purchase decision variable and based on descriptive analysis, the average brand image variable is 83.88% so that it can be said to be in the "Good" category. The average brand image variable is 77.74% so that it can be said to be in the "Good" category. For the purchasing decision variable based on descriptive analysis, the average brand image variable is 78.56%, so it can be said to be in the "Good" category.
THE EFFECT OF DIGITAL BANKING IMPLEMENTATION ON CUSTOMER SATISFACTION (CASE STUDY OF BSI DIGITAL BANKING USER CUSTOMERS)
Authors: Wahyuni Sri , Nurbaiti Nurbaiti , Bi Rahmani Nur Ahmadi
Published: September 2023

This study aims to determine the extent to which the influence of Accuracy (X1), Speed (X2), Security (X3) affects customer satisfaction at Bank BSI KCP S. Parman. This study uses a quantitative approach with sampling using the Non Probability Sampling method. The type of data used in this study is primary data obtained from questionnaires filled out by respondents directly. And secondary data that comes from books, journals, research results, practical work reports and related to the author's research objects. In this study, the population that will be taken is all BSI KCP S. Parman customers in 2022 as many as 9,950 people. The analysis tool uses multiple linear regression analysis. The results of the study show that the variables Accuracy (X1), Speed (X2), Security (X3) simultaneously affect customer satisfaction using digital banking BSI KCP S. Parman. The coefficient of determination value is 0.741. This means that 74.1% of bank existence is influenced by Accuracy (X1), Speed (X2), and Security (X3), while the remaining 25.9% of customer satisfaction is influenced by other variables not examined in this study.
Dismountable and non-Dismountable Spaces via Proximity Space
Authors: Almohammed Raghad , Jabar L .A.A.
Published: September 2023

اهتم كثيرا من الباحثين في دراسة اغلب المشكلات بعد تحويلها الى صيغ رياضية داخل فضاء القرب لسهولة توظيف هذاالفضاء مع المشكلات الحياتية المختلفة التي تواجهنا. لذلك يصب اهتمام البحث في ايجاد صفة جديدة الى فضاءات القرب باستخدام خواص القرب وخواص العناقيد وربطها معا للحصول على نقاط تراكمية جديدة اطلقنا عليها اسم نقاط  كثه ومجموعة كل هذه النقاط اطلقنا عليها اسم مجموعة كثه حيث تم تكوين اساس رياضي متماسك الى الصيغة التبلوجية التي نبحث عنها والتي اطلقنا عليها التفكك واذا كانالفضاء لا يحمل هذه الصفة نطلق عليه فضاء غير قابل للتفكك.
Association between Fluoride Toxicity, Oxidative Stress, and Pregnancy Complications in Women Living in Fluorosis Areas
Authors: Masnaoui Lalla Asmaa Katir , Bouchab Habiba , Rahim Abdellatif , El Kebbaj Riad , Essamadi Abdelkhalid
Published: September 2023

كان الهدف من هذه الدراسة هو التحقيق من العلاقة بين مستويات فلوريد البلازما المرتفعة، والإجهاد التأكسدي، ومضاعفات الحمل (الإجهاض، وموت الجنين داخل الرحم، والولادة المبكرة، وتسمم الحمل) لدى النساء اللواتي يعشن في إقليم سطات بالمغرب. تم جمع عينات الدم من النساء الحوامل ذوات الحمل الطبيعي (عدد = 60)، والإجهاض (عدد = 20)، وموت الجنين داخل الرحم (عدد = 10)، والولادة المبكرة (عدد = 20)، وتسمم الحمل (عدد = 20). بعد ذلك، تم تحديد مستويات فلوريد البلازما والأنشطة الأنزيمية لخلايا الدم الحمراء من superoxide dismutase (SOD)، catalase (CAT)، glutathione peroxidase (GPx). أظهرت النتائج أن مستويات الفلوريد في البلازما أقل بشكل ملحوظ عند النساء ذوات الحمل الطبيعي بتركيز 0.030 ± 0.003 ملغم / لتر مقارنة بالنساء اللائي تعرضن للإجهاض وموت الجنين داخل الرحم والولادة المبكرة وتسمم الحمل، بتركيزات 0.040 ± 0.002، 0.037 ± 0.002، 0.034 ± 0.004 و0.034 ± 0.003 ملغم / لتر، على التوالي. بالإضافة إلى ذلك، زاد نشاط SOD بشكل ملحوظ عند النساء اللواتي يعانين من مضاعفات الحمل، بينما انخفضت أنشطة CAT وGPx مقارنة بالنساء ذوات الحمل الطبيعي. علاوة على ذلك، لوحظ وجود علاقة قوية بين مستويات فلوريد البلازما وأنشطة مضادات الأكسدة ومضاعفات الحمل. قد يؤدي وجود مستويات عالية من فلوريد البلازما إلى زيادة انتشار الإجهاض ووفاة الجنين داخل الرحم والولادة المبكرة وتسمم الحمل، عبر مسار الإجهاد التأكسدي لدى النساء الحوامل اللواتي يعشن في إقليم سطات بالمغرب.
The role of the APE1 Asp148Glu polymorphism on the risk of acute myeloid leukemia in Iraqi patients
Authors: Jasiem Thamer Mouhi , Al-Husseini Rand Muhammed Abdul-Hussein
Published: September 2023

ابيضاض الدم النخاعي الحاد هو أكثر أنواع امراض الدم الخبيثة شيوعًا عند البالغين. يعد انتشار الخلايا الطافرة الغير مسيطر عليها للأسلاف النخاعية الغير متمايزة سمة مميزة لهذا المرض. يمكن إصلاح تلف الحمض النووي عن طريق مجموعة متنوعة من الأنظمة  الأنزيمية الموجودة في الخلايا حقيقية النواة. تتشكل الخلايا الطافرة عندما لا يمكن إصلاح تلف الحمض النووي بواسطة آليات إصلاح الخلية. إحدى آليات إصلاح الحمض النووي هي مسار إصلاح استئصال القاعدة ، التي تكون المسئولة عن تصحيح الأضرار الصغيرة الناتجة عن التلف ألتأكسدي أو والقلوية أو المثيلة.
اشتملت الدراسة على 70 مريضًا مصابًا بسرطان الدم النخاعي الحاد - 37 أنثى و 33 ذكرًا - بالإضافة إلى 30 فردًا سليمًا كمجموعة سيطرة. تم استخدام مجموعة استخلاص الحمض النووي gSYNCTM لاستخراج الحمض النووي من عينات الدم الكاملة من مجموعات الدراسة. تم استخدام طريقة PCR-RFLP لتحديد تعدد الأشكال Asp148 Glu للجين APE1  
في التحليل الجيني ، تبين أن الزيادة في النمط الجيني T/T وأليل T في تعدد الأشكال في كودون APE1 148 يلعب دورًا وقائيًا في مرض ابيضاض الدم النخاعي الحادAML ، وأن الزيادة في النمط الجيني G / G يمكن أن تترافق مع خطر الإصابة بسرطان الدم الحاد. . أظهرت النتائج أن النمط الجيني المتغاير لجين APE1 ، Asp 148 Glu (T / G)  وأليل G كانت أعلى بشكل ملحوظ (P <0.05) في مرضى AML مقارنة بمجموعة السيطرة . في تسلسل المنطقة التي تم دراستها ، وجد أن هناك موقعًا للتغاير يقع بين GATC و GAGC ، حيث يمثل التغيير في النيوكليوتيدات T إلى G موقع تقييد الإنزيم القاطع.
حيث ارتبط النمط الجيني متعدد الأشكال 148 Glu> Asp من جين APE1 مع تطور AML في المرضى العراقيين. أثبتت الدراسة أن حاملي النمط الجيني  T / T لديهم مخاطر أقل لتطور مرض ابيضاض الدم النخاعي الحادAML ، في حين أن حاملي الأليلات G لديهم مخاطر متزايدة.
A Continuous Projection-Based EDFM Model for Flow in Fractured Reservoirs
Authors: Rashid Harun U. , Olorode Olufemi
Published: September 2023

Various researchers have evaluated different methods of modeling fractured reservoirs accurately and efficiently. Of these methods, the embedded discrete fracture model (EDFM) is one of the most popular because it does not require the mesh for the simulation domain to conform to the orientation of the natural fractures. However, it is limited because it cannot accurately model low-conductivity fractures. Although the projection-based EDFM (pEDFM) was developed to address this limitation of the EDFM, recent studies show that pEDFM still cannot accurately model low-conductivity fractures that are neither parallel to the simulation grid nor cutting through the matrix cell diagonals. In these cases, it has been observed that reservoir fluids can flow around low- or even zero-conductivity fractures.

This paper presents a rigorous analysis, which reveals that the error when modeling inclined low-conductivity fractures with pEDFM is because the projections of the fracture on the gridblock faces are discontinuous. This discontinuity implies that the matrix cell interfaces along the path of the fractures only project a fraction of the fracture area on these interfaces in each direction. So, none of these faces captures the sealing potential of these interfaces, and the pore fluid can flow around even zero-conductivity fractures. We present a robust algorithm that ensures that the projections of inclined fractures on cell faces are continuous in 3D. We refer to the model based on this algorithm as the continuous projection-based EDFM (CPEDFM) and show that it directly solves the pEDFM limitation.

We present the simulation of several cases and their selected projection faces to demonstrate why CPEDFM works. We also verify the CPEDFM method by comparing the CPEDFM and pEDFM model results to high-resolution simulation results. To demonstrate the feasibility of modeling complex, realistic systems using CPEDFM, we simulate a 3D compositional Eagle Ford shale reservoir with 75 low-conductivity and 75 high-conductivity fractures. The results show that pEDFM overestimates production because it does not fully account for the sealing effects of inclined low-conductivity fractures. In conclusion, this paper presents a novel numerical model for accurately and efficiently simulating reservoirs containing fractures of arbitrary conductivity, size, and orientation in 3D.
Incorporating complexity is essential for driving farm system change
Authors: Pilditch Toby , Bailey Richard , Merkl Andreas
Published: September 2023

Agricultural transformation is imperative to achieve environmental and social objectives. However, the complexity and variety of agricultural systems, and the myriad factors impacting farmer decision-making often hinder policy efficacy. Our research provides a new, integrated perspective on this issue, using a model that incorporates the complexities of both farmers and farm systems to enable more complete explanatory mechanisms for policy success and failure. We unpack a hierarchy of barriers to change, noting how those barriers interact, including exposition of previously ill-understood factors (e.g., farmer psychology). Via inclusion of social and complex system dynamics, we also show how policy bundles can exploit tipping-point dynamics. Our findings provide an explanation for disparate agricultural system outcomes, demonstrating the crucial role of farmer psychology and system-level dynamics in the success or failure of regenerative policies. This underscores the need for tailored, multi-faceted policy approaches in promoting sustainable agriculture.
miR-184 represses β-catenin and behaves as a skin tumor suppressor
Authors: Avitan-Hersh Emily , Turovsky Lubov , Kheshaiboun Ghazal , Yasen Gharam , Nagossa Sara , Boyango Ilanit , Bhattacharya Swarnabh , Amitai-Lange Aya , Ilan Neta , Vlodavsky Israel , aberdam daniel , Shalom-Feuerstein Ruby
Published: September 2023

miR-184-knockout mice display perturbed epidermal stem cell differentiation. However, the potential role of miR-184 in skin pathology is unclear. Here, we report that miR-184 controls epidermal stem cell dynamics and that miR-184 ablation enhances skin carcinogenesis in mice. In agreement, repression of miR-184 in human squamous cell carcinoma (SCC) enhances neoplastic hallmarks of human SCC cells in vitro and tumor development in vivo. Characterization of miR-184-regulatory network, suggests that miR-184 inhibits pro-oncogenic pathways, cell proliferation, and epithelial to mesenchymal transformation. Of note, depletion of miR-184 enhances the levels of β-catenin under homeostasis and following experimental skin carcinogenesis. Finally, the repression of β-catenin by miR-184, inhibits the neoplastic phenotype of SCC cells. Taken together, miR-184 behaves as an epidermal tumor suppressor, and may provide a potentially useful target for skin SCC therapy.
Identification and validation of immune-related lncRNAs-associated prognostic risk model in skin cutaneous melanoma
Authors: Zhang Xiaojing , Chen Xinye
Published: September 2023

Background: Immune infiltration is the key to various diseases and implicated in cancer progression and oncogenesis. However, the potential diagnostic value of immune-related lncRNAs in skin cutaneous melanoma (SKCM) remains unclear.
Methods: Immune-related lncRNAs that were expressed in SKCM samples were investigated using Pearson correlation analysis. The prognostic risk score model was built using the LASSO and univariate and Cox multivariate regressions. The accuracy and prognostic value of risk score were validated by using receiver operating characteristic (ROC) curves, Kaplan-Meier (K-M) survival, univariate and multivariate COX analyses.
Results: 98 lncRNAs had a significant effect on the survival of SKCM patients. The OS rate of SKCM patients with high-risk score was decreased compared to the patients with low-risk score. Our risk model had an accurate diagnose ability for SKCM in the training and testing sets. A nomogram based on age, tumor stage, gender and risk score that had a strong ability to forecast 1-, 2-, 3-, 5-year OS of SKCM patients. In addition, risk score was negatively correlated with infiltration of eight immune cells.
Conclusion: Five immune-related lncRNAs and a prognostic risk score model associated with SKCM prognosis and immune infiltrations might help us evaluate several immune-related targets for SKCM therapy.
Longitudinal evaluation of the distribution of intraretinal hyper-reflective foci in eyes with intermediate age-related macular degeneration
Authors: Sadda Srinivas , Verma Aditya , Corradetti Giulia , Nittala Muneeswar , He Ye , Nassisi Marco , Velaga Swetha Bindu , Haines Jonathan , Pericak-Vance Margaret , Stambolian Dwight
Published: September 2023

Purpose: Intraretinal hyper-reflective foci (IHRF) are optical coherence tomography (OCT) risk factors for progression of age-related macular degeneration (AMD). In this study we assess the change in the number and distribution of IHRF over two years.
Methods: The axial distribution of IHRF were quantified in eyes with intermediate AMD (iAMD) at baseline and 24 months, using a series of 5 sequential equidistant en face OCT retinal slabs generated between the outer border of the internal limiting membrane (ILM) and the inner border of the retinal pigment epithelium (RPE). Following thresholding and binarization, IHRF were quantified in each retinal slab using ImageJ. The change in IHRF number in each slab between baseline and month 24 was calculated.
Results: Fifty-two eyes showed evidence of IHRF at baseline, and all continued to show evidence of IHRF at 24 months (M24). The total average IHRF count/eye increased significantly from 4.67 ± 0.63 at baseline to 11.62 ± 13.86 at M24 (p<0.001) with a mean increase of 6.94 ± 11.12 (range: - 9 to + 60). Overall, at M24, 76.9% eyes showed an increase in IHRF whereas 15.4% of eyes showed a decrease (4 eyes [7.6%] showed no change). There was a greater number of IHRF and a greater increase in IHRF over M24 in the outer slabs.
Conclusions: IHRF are most common in the outer retinal layers and tend to increase in number over time. The impact of the distribution and frequency of these IHRF on the overall progression of AMD requires further study.
Adherence to Legionella control regulations and guidelines in Norwegian nursing homes: a cross-sectional survey
Authors: Bekkelund Anders , Angeloff Line , Amato Ettore , Hyllestad Susanne
Published: September 2023

Background

Infection by Legionella bacteria is a risk to elderly individuals in health care facilities and should be managed by preventing bacterial proliferation in internal water systems. Norwegian legislation calls for a mandatory Legionella-specific risk assessment with the subsequent introduction of an adapted water management programme. The present study investigates adherence to legislation and guidelines on Legionella control and prevention in Norwegian nursing homes.

Methods

A cross-sectional survey was distributed to Norwegian municipalities to investigate the status of Legionella specific risk assessments of internal water distribution systems and the introduction of water management programmes in nursing homes.

Results

A total of 55.1% of the participating nursing homes had performed Legionella-specific risk assessments, of which 55.3% stated that they had updated the risk assessment within the last year. 96.5% introduced a water management programme following a risk assessment, whereas 59.6% of the ones without a risk assessment did the same. Nursing homes with risk assessments were more likely to monitor Legionella levels than those without (61.2% vs 38.8%), to remove dead legs (44.7% vs 16.5%), and to select biocidal preventive treatment over hot water flushing (35.5% vs 4.6%).

Conclusions

This study presents novel insight into Legionella control in Norway, suggesting that adherence to mandatory risk assessment in nursing homes is low. Once performed, the risk assessment seems to be advantageous as an introduction to future Legionella prevention in terms of the scope and contents of the water management programme.
Anterior cruciate ligament femoral side retained stump technique reduces enlargement of the femoral bone tunnel after anterior cruciate ligament reconstruction
Authors: Li Xiaobo , Li Hanlin , Su Jixian , Ding Ran
Published: September 2023

Background Enlargement of the bone tunnel has become an unavoidable early complication after anterior cruciate ligament (ACL) reconstruction, whether it is a single or double-bundle ACL reconstruction. Preservation of the ACL stump in ACL reconstruction reduces enlargement of the bone tunnel. The purpose of this study was to investigate the question of whether single-bundle ACL reconstruction using the ACL femoral side retained stump technique reduces enlargement of the femoral tunnel.Methods Forty patients who underwent single-bundle reconstruction of the ACL were included in this study. The patients were categorized into a Remnant preservation group (Group R) and the Non-remnant preservation group (Group N). In the Remnant preservation group, a high-flexion femoral side retained stump technique was used intraoperatively for the establishment of the femoral side bone tunnel, and in the Non-remnant preservation group, the conventional femoral positioning method was used, and MRI of the operated knee joints was performed at 3 months postoperatively, and the diameters of the femoral bone tunnel were measured in the coronal and axial positions at a point of 5mm away from the inner opening of the femoral bone tunnel. The size of the tunnel was compared between the intraoperative drilling of the bone tunnel and the size of the bone tunnel at 3 months postoperatively. Postoperative clinical assessment was Lysholm score.Results After a 3-month follow-up of 40 patients, the femoral bone tunnel enlargement rate was 22.4 ± 6.5% in the group without ACL femoral side stump preservation (Group N) and 15.1 ± 3.6% in the group with ACL femoral side stump preservation (Group R).Conclusion ACL femoral side retained stump technique in single-bundle ACL reconstruction reduces enlargement of the femoral bone tunnel.
Spatial dynamics of phosphorus in the natural-rural-suburban-urban river sediment continuum (Qinhuai River basin, China): Insights into concentration, fractionation, and environmental risk assessment of phosphorus
Authors: Cao Yanyan , Zhu Jianzhong , Gao Zhimin , Li Sanjun , Zhu Qiuzi , Wang Hailong , Huang Qi
Published: September 2023

Rapid urbanisation, due to an imbalance in fitness with technological levels, has resulted in the accumulation of phosphorus (P) in river sediments, which is prone to environmental problems such as eutrophication of water bodies. However, little is known about phosphorus's geochemical composition and environmental risks in the natural-rural-suburban-urban river sediment continuum, which is an urgent need. This study investigated the concentration and fractionation of P using sequential P extraction and their influencing factors by introducing the PLS-SEM model (Partial Least Squares Structural Equation Model) along this continuum from the Qinhuai River. The results showed that the sedimentary TP concentrations and P fractions nearly increased dramatically with increasing the urbanization gradient. This spatial heterogenicity of P along a river was attributed mainly to land use patterns and sediment properties (nutrients ＞metals ＞ grain size). In addition, the highest values of TP, BAP (biologically active P) and PPI (P pollution index) were found in urban sediments among four regions, indicating a higher environmental risk of P release, which may increase the risk of eutrophication in overlying water bodies. Collectively, this work improves the understanding of the spatial dynamics of P in the natural-rural-urban river sediment continuum, highlights the need to control P pollution in urban sediments and provides a scientific basis for the future usage and disposal of P in sediments.
Bioconvection in Jeffrey nanofluid with gyrotactic organisms using CPC fractional derivative
Authors: Abbas Shajar , Nazar Mudassar , Rahimzai Ariana Abdul , Gilani Syeda Farzeen Fatima , Khan Ilyas
Published: September 2023

The current research examines the effects of heat and mass transfer on the motion of the Jeffrey fluid in the presence of solar radiation over a vertical plate. The study considers the presence of copper nanoparticles and gyrotactic organisms in the polyvinyl alcohol-water base fluid. A useful mathematical model for the thermal and flow behaviors of a PTSC (Parabolic trough solar collector) fixed on a solar panel is currently being developed in light of the rise in the number of devices that use solar plates. Solar energy systems that employ curved mirrors in the form of a parabolic trough to focus sunlight onto a single focal line are known as PTSCs (Parabolic trough solar collectors). The fluid passing through a plate running along the focal line is then heated by this focused sunlight. Fourier's and Fick's laws are used in mathematical modeling to solve heat, mass, and momentum equations. The dimensionless partial differential equations for energy, mass, and velocity fields are computed using the Laplace transform method. The graphical analysis concentrates on the significant effects of significant parameters, such as Grashof number, mass Grashof number, bioconvection Lewis number, electric and magnetic parameters, Prandtl number, Peclet number, and chemical reaction parameter associated with the flow properties. The temperature profile is shown to be improved by raising the volume fraction and radiation parameters. Non-Newtonian nanofluids have shown tremendous promise for heat transfer processes and have a wide range of uses in solar energy systems, thermal energy systems, and cooling microchips.
Machine-learning algorithms for the prediction of adverse prognosis in patients undergoing peritoneal dialysis
Authors: Yang Jie , Wan Jingfang , Feng Lei , Hou Shihui , Yv Kaizhen , Xu Liang , Chen Kehong
Published: September 2023

Background
An appropriate prediction model for the adverse prognosis before peritoneal dialysis (PD) is lacking. Therefore, we retrospectively analyzed patients who received PD to construct a predictive model for adverse prognoses using machine learning (ML).
Methods
A retrospective analysis was conducted on 873 patients who underwent PD from August 2007 to December 2020. Five commonly used machine learning algorithms are used for initial model training. Using the area under the curve and accuracy, we ranked the indicators with the highest impact and displayed them using the Shapley additive explanation (version 0.41.0) values, from which the top 20 indicators were selected to build a compact model conducive to clinical application. All model building steps are implemented in Python (version 3.8.3).
Results
A total of 824 patients were included in the analysis at the end of follow-up, 353 patients withdrew from PD (converted to haemodialysis or died), and 471 patients continued receiving PD. In complete model, the CatBoost model exhibited the strongest performance (AUC: 0.80, 95% CI: 0.76–0.83; ACC: 0.78, 95%CI: 0.72–0.83) and was selected for subsequent analysis. We reconstructed a compression model by extracting 20 key features ranked by the SHAP values, the Catboost model also showed the strongest performance (AUC: 0.79; ACC: 0.74).
Conclusions
The Catboost model built using the intelligent analysis technology of ML demonstrated the best predictive performance. Thus, our developed prediction model has potential value in patient screening before PD and hierarchical management after peritoneal dialysis.
Mobile Admission Process and Administrative Turnaround Time of Hospitalisation for Outpatients: A Retrospective Study
Authors: Chung Ho Sub , Namgung Myeong , Bae Sung Jin , Choi Yunhyung , Lee Dong Hoon , Kim Chan Woong , Kim Sunho , Jung Kwang Yul
Published: September 2023

Background and Objectives: This study compared the time efficiency of the hospital admission process using mobile devices versus traditional walk-in methods and assessed the usability of the mobile admission process.
Methods: This retrospective study was conducted at Chung-Ang University Gwangmyeong Hospital in South Korea (August 2022–January 2023). It compared the turnaround time of the walk-in and mobile admission processes. Patients were divided into mobile and walk-in groups based on the admission process method. Timestamp data were collected based on the flow of patients or caregivers during the admission process and extracted by examining patients’ electronic medical record log time or caregivers' electronic signatures on consent forms. Patients' arrival time at the ward was determined by referencing the log time in nursing records. Time intervals between timestamp data were calculated and compared. A questionnaire survey using the 10-item System Usability Scale was conducted with mobile admission users.
Results: The study enrolled 4,344 patients to compare the turnaround time and demographics of the mobile (n = 1,336) and walk-in (n = 3,008) admission processes. The mobile admission process had a significantly shorter turnaround time of 13.4 min compared to 22.2 min for the walk-in process. Female and younger patients, and those admitted to surgery departments were likelier to use the mobile process. Older patients were less likely to undergo mobile admissions. Linear regression analysis showed that these factors significantly affected the usability of the mobile device admission process. Female and surgery patients used the mobile admission process significantly more frequently, whereas older adults used the mobile process significantly less frequently. The System Usability Scale for mobile admission users showed a good usability score (mean 74.4).
Conclusions: The mobile admission process can reduce the task completion time compared to the traditional walk-in admission process owing to its superior usability.
A supra-annual census interval distorts the interpretation of population dynamics of tropical trees
Authors: Yamada Toshihiro , Nakabayashi Miyabi
Published: September 2023

Once every few years, tropical rain forests in Southeast Asia experience severe droughts, which kill trees and shrubs. However, the census intervals for forest monitoring are often supra-annual for many study sites. When an episodic drought is included in a multi-year census interval, the substantial drop in survival rates in the drought year can be rarefied by the census interval years. Here, we demonstrated an important problem caused by conventional forest monitoring using a supra-annual census interval when conducting population dynamics studies for tropical trees. We took a population transition matrix approach using data derived from an equatorial rain forest in Lambir Hills National Park, Malaysia. We found that the population growth rate (lambda) of tree species was exclusively influenced by survival rates, while the effects of growth and reproduction rates on lambda were quite limited. This suggested that the rarefaction of a substantial reduction in the survival rate by supra-annual census intervals could mask the effects of drought on lambda. This may lead to an erroneous interpretation that the tree population remains in equilibrium even after a severe drought, and thus that drought has little effect on population dynamics. Our matrix analyses showed that the impacts of drought on lambda were hard to identify when census intervals were longer than a year. This study highlighted the complexities of designing studies on the population dynamics of tropical trees. Having shown that drought reduces tree survival rates and thus has a major impact on the population dynamics of tropical forests, we need to implement a tree census to appropriately evaluate survival rates in drought years whenever they occur.
A DFT Study on Spring Property of Helicenes
Authors: Liu Xunshan , Cui Xingyuan , Zhang Xu , Wu Jian-Ping , Shen Chengshuo
Published: September 2023

This study focuses on investigating the spring properties of helicenes through DFT theoretical calculations. The energy change during stretching was observed by incrementally scanning the distance between both ends of the helicene from its stable state. The stiffness (k value) of each helicene was also determined at different stretching states. Interestingly, the k value was found to be non-constant during stretching, suggesting that helicenes do not behave as ideal springs. Furthermore, the effects of heteroatom doping and lateral π-extension on [6]helicene were examined, indicating that these factors have minimal impact on the spring nature of helicenes. Additionally, the study extended to longer helicenes, namely [12] and [18]helicenes. It was observed that the stiffness at the middle part of the helicene is greater than at the terminal parts, and the helical structures begin to collapse when the stretching length reaches approximately 2.5 times the stable state. We expected this work could bring innovative concept in future design of molecular devices.
Genomic and Global Gene Expression Profiling in Pediatric and Young Adult Acute Leukemia with PICALM::MLLT10 Fusion
Authors: Wang Lu , Ma Jingqun , Liu Yen-Chun , Ma Jing , Palagani Ajay , Caldwell Elizabeth , Foy Scott , Umeda Masayuki , Wilkinson Mark , Inaba Hiroto , Klco Jeffery , rubnitz Jeffrey
Published: September 2023

PICALM::MLLT10 fusion is a rare but recurrent genetic driver in acute leukemias. To better understand the genomic landscape of PICALM::MLLT10 (PM) positive acute leukemia, we performed genomic profiling and gene expression profiling in twenty PM-positive patients, including AML (n = 10), T-ALL/LLy (n = 8), Mixed-phenotype acute leukemia (MPAL), T/B (n=1) and acute undifferentiated leukemia (AUL) (n=1). Besides confirming the known activation of HOXA, our study suggested PHF6 disruption as a key cooperating event in PICALM::MLLT10-positive leukemias. In addition, we demonstrated differences in gene expression profiles as well as remarkably different spectra of co-occurring mutations between PM-AML and PM-ALL (including T-ALL/LLy and MPAL, T/B). Alterations affecting TP53 and NF1 are hallmarks of PM-AML and are strongly associated with disease progression and relapse, whereas EZH2 alterations are highly enriched in PM-ALL. This comprehensive genomic and transcriptomic profiling provides insights into the pathogenesis and development of PICALM::MLLT10 positive acute leukemia. The dramatic differences in the landscapes of co-occurring mutations for these related acute leukemia subtypes highlight the value of performing real-time genomic profiling of acute leukemia for molecular diagnostics.
Multi-Level State Evaluation in Complex Systems: Information Granules and Evidence Theory Approach
Authors: Reformat Marek Z. , Yager Ronald R.
Published: September 2023

Real-world systems often exhibit intricate complexity. Navigating and examining the conditions under which these systems operate presents various challenges. These systems are characterized by a web of interconnected inputs and subsystems organized in hierarchical way. The status of each subsystem depends on multiple inputs and the conditions of other interconnected subsystems. Additionally , articulating precise definitions for the states of these subsystems is a complex task, usually fraught with uncertainties. Experts frequently employ information granules to encapsulate imprecise quantities, basing these granules on specialized domain knowledge. These granules may manifest as linguistic terms or intervals, resulting in approximate state definitions. To the best of our knowledge , no methodology currently accommodates multiple uncertainties – including those tied to state definitions – while also offering an evaluation of the varying states across different subsystems. In this study, we present a novel technique for identifying local and global states in hierarchical, multi-component systems under conditions of uncertainty. Utilizing principles of Evidence Theory, we incorporate a recently devised method to evaluate how well uncertain objectives are met. These uncertain objectives correspond to state definitions formulated using information granules of a specific context. By measuring the extent to which the inputs to a given subsystem align with these imprecise state definitions, we can identify the most probable state the subsystem will likely be in. Our proposed method addresses various types of uncertainty when ascertaining system states. The specific areas of imprecision tackled by our approach include: 1) the vagueness and ambiguity inherent in the measurements serving as subsystem inputs, 2) the levels of uncertainty involved in defining subsystem states based on the conditions of other interconnected subsystems, and 3) the indistinct and incomplete knowledge incorporated into the definitions describing individual subsystems’ states. The paper elaborates on the intricacies of our method and includes a case study to demonstrate how system states can be identified when faced with ambiguous definitions of subsystem states.
Link Life Time and Energy-Aware Stable Routing for MANETs
Authors: Gudakahriz Sajjad Jahanbakhsh , Mirzaei Abbas , Khiavi Mina Vajed
Published: September 2023

One of the major problems in mobile ad hoc networks (MANETs) routing is the short lifetime of their routes. This problem has roots in the dynamic topology of the network and the limited battery capacity of its nodes. One of the solutions to upgrade the efficiency of this routing scheme is necessary to select the most stable paths to reduce the latency and the overhead arising from the routes’ reconstructions. This paper designs a routing protocol that calculates multiple stable paths between the source and the destination and then selects the best available path among them. The proposed protocol is based on the AODV protocol. In comparison with previous works on AODV, this work has two significant improvements. First, it selects only node-disjoints paths, hence failure of one path doesn’t affect other paths. Second, it selects high-quality stable routes using an efficient formula. Extensive simulations in the NS-2 environment show that the proposed protocol called ST-AODV (Stable Ad hoc On-demand Distance Vector) outperforms AODV in terms of packet delivery ratio, end-to-end delay, routing frequency, and routing overhead.
Effect of cell structure on elastoplastic behavior of closed-cell foam material
Authors: Huimin Yu , Qinzhi Fang , Xingwei Yan
Published: September 2023

This study conducts a numerical investigation to explore the influence of cell structure, relative density, and loading ratio on the elastic and plastic properties of closed-cell foam materials under uniaxial and multiaxial loadings. The characteristic stress-strain curves of closed-cell foam with the relative density, inner cell structure, and loading ratio are compared. Since the mechanical properties of foam materials are mainly affected by large pores, we applied the parameters: the characteristic diameter Dch and characteristic shape anisotropy αch proposed by Ref.40,41 to measure large pore size and shape in order to analyze. For better comparison, we have normalized the characteristic stress-strain data based on the uniaxial yield strength. Our findings indicate that the impact of relative density under trial loading is more significant than that under uniaxial loading. And the characteristic diameter Dch has virtually no effect on the dimensionless characteristic stress-strain curve. The characteristic shape anisotropy αch has minimal impact on the distribution of the characteristic stress-strain curves under uniaxial loading, in constract, for various values of characteristic shape anisotropy αch, significant disparities can be observed. Therefore, the early-stage elastoplastic behavior is also affected by the loading ratio. Furthermore, the stress-strain curve under different loading conditions can be modeled using Eq. 15. The parameters in Eq. 15 are determined by the loading parameters cos (3θ) and k.
The analysis of livestreaming chaos governance from the participation of non-interacting audience based on square evolutionary game model
Authors: Liu Jiangang , Zhou Lanlan , Zhang Meijuan
Published: September 2023

The live streaming platform has exposed chaos such as pan-entertainment, messy content, and misleading marketing, which has triggered widespread concern from people of all backgrounds in recent years. Live PK is an important live streaming mode for entertainment that converts public domain traffic to private domain traffic and enables the monetization of internet traffic. Nonetheless, as a result of the development of live streaming PK mode, the public order and social norms have been severely disrupted. This study considers the strategies of the government, the live streaming platforms, the live-streamer, and the audience to construct a four-party evolutionary game model. Through the construction of payoff matrices and replicator dynamics equations, this study explores the optimal program of multi-agent decision response logic and strategy equilibrium, and analyzes the influence of key variables such as government credibility loss, punishment of PK live-streamer by live streaming platforms, self-benefit when non-interacting audience feedback, and positive feedback probability of non-interacting audience on system performance. It is discovered that the live streaming platforms, which constitute the central niche of the live stream chaos governance ecosystem, have a significant impact on the strategies of the government, the live-streamer, and the audience. Furthermore, only when the government's punishment for the platform, the platform's punishment regulation, and the live-reward streamer's exceed the limited threshold can it promote the formation of a co-governance situation between the four parties.
An Approach For Control Of Phytopathogenic Caenorhabditis elegans N2 Via Regulation of Growth Conditions And Pleurotus ostreatus Po4
Authors: Tashyrev Oleksandr , Hovorukha Vira , Kudrys Paweł , Moliszewska Ewa , Khokhlenkova Natalia
Published: September 2023

Soil phytopathogenic nematodes cause great damage to agricultural plants. Different methods have been used to control them. However, this issue still requires a more effective solution. Caenorhabditis elegans (CGC Strain wild type N2) was applied as a model with E. coli OP50 used as a feeding substrate for nematodes. Our approach was based on the thermodynamically substantiated creation of growth conditions unfavorable for nematodes to suppress them irreversibly. Nematodes control effect was also enhanced via the application of the strain Pleurotus ostreatus Po4. It is based on the study of the impact of key parameters such as pH, redox potential (Eh, mV), and O2 presence as well as P. ostreatus Po4 and bacteria (Escherichia coli OP50 and a native microbial community of compost of plant residues) on nematodes. As a result, the patterns of C. elegans N2 inhibition were studied. The creation of anaerobic conditions via the application of P. ostreatus Po4 and bacteria provided the irreversible suppression of nematodes. This research contributes to the development of the foundations to preserve agricultural plants, and increase crop yield as well as the approach for environmentally friendly control of phytopathogens.
Loneliness and Health-Related Quality of Life Among Medicaid Beneficiaries Ages 18 Years and Older
Authors: Rudy Ellen T , McNamara Kelsey C , Perissinotto Carla M , Kotwal Ashwin A
Published: September 2023

Loneliness has adverse health effects across all ages. While several social determinants of health are well-characterized among Medicaid-enrolled adults, loneliness and social connection needs are routinely left out. This study assessed the prevalence of loneliness, and association of loneliness with health-related quality of life, among Medicaid-enrolled adults. Medicaid beneficiaries (n=2,054) responded to a companion care program enrollment survey (UCLA 3-Item Loneliness Scale; CDC Healthy Days Measure). Findings reveal loneliness was prevalent among all age groups (lonely: 35.3%; severely lonely: 11.2%), with an increase in loneliness observed with older ages (18-29 years old: 28.6%, 6.0%; 50-59 years old: 37.1%, 16.9%). Loneliness was associated with significantly increased unhealthy days. Findings suggest a need for heightened focus on and expansion of interventions addressing loneliness among adults receiving Medicaid benefits.
Global Convergence of the Infinite-Dimensional Newton’s Method for the Regularized $P$-Stokes Equations
Authors: Schmidt Niko
Published: September 2023

The motion of glaciers can be simulated with the $p$-Stokes equations. Up to now, Newton's method to solve these equations has been analyzed in finite-dimensional settings only. We analyze the problem in infinite dimensions to gain a new viewpoint. We do that by proving global convergence of the infinite-dimensional Newton's method with Armijo step sizes to the solution of these equations. We only have to add an arbitrarily small diffusion term for this convergence result. We prove that the additional diffusion term only causes minor differences in the solution compared to the original $p$-Stokes equations under the assumption of some regularity. Finally, we test our algorithms on two experiments: A reformulation of the experiment ISMIP-HOM $B$ without sliding and a rectangle with sliding. For the former, the approximation of exact step sizes for the Picard iteration and exact step sizes and Armijo step sizes for Newton's method are superior in the experiment compared to the Picard iteration. For the latter experiment, Newton's method with Armijo step sizes needs many iterations until it converges fast to the solution. Thus, Newton's method with approximately exact step sizes is better than Armijo step sizes in this experiment.
MSC Classification: 65N12 , 35Q35 , 76D03 , 76D07