bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Relationship Between Fear of Falling and Physical Activity among Older Adults
Authors: Rezaeipandari Hassan , Koochakinejad Najma , Chahmatki Fatemeh , Taheri Tanjani Parisa , Shaker Maryam , Dehghani Tafti Arefeh 
Published: July 2023

Introduction: Physical activity (PA) improves balance, walking, and muscle strength and reduces the prevalence of falls among the elderly. Fear of falling (FOF) is the most common fear among older adults and a major health problem among them. Therefore, this study was conducted to determine the relationship between FOF and PA among older adults in Iran.

Methods: This cross-sectional study was conducted on 687 elderly people aged ≥ 60 years in Yazd province, Iran using cluster sampling method. The data collection tools were The Falls Efficacy Scale International and the Physical Activity Scale for the Elderly. The data were analyzed by describing frequency distribution, Mann-Whitney, Spearman correlation tests and Hierarchical regression under SPSS software.

Results: The mean score of FOF and PA were 27.08 ± 12.30 (range 16-64) and 86.87 ± 79.15 (range 0-494), respectively. There was an inverse significant correlation between PA and FOF(r = -0.304) and with increasing age, PA of the elderly decreases, and the FOF increases. Demographic variables (age, gender, living status, and retirement status) which were entered into the model in the first stage, predicted 10.9 % of the variance of PA (p < 0.001). In step 2, chronic diseases predicted 3.5 % which was statistically significant and in step 3, FOF also significantly predicted 2.8% of the variance of PA (p < 0.001).

Conclusion: The level of PA among older adults is very low, so it is very important to know the factors influencing that, to take action to prevent the occurrence of these factors, and also to eliminate them. Considering that demographic variables and FOF can predict changes in PA, therefore, it is possible to improve the PA of older adults by performing appropriate interventions on these issues.
MANIFESTASI MANAJEMEN BUDAYA RELIGIUS DI SDN II PAGENDINGAN GALIS PAMEKASAN
Authors: Umaiyah Faradila aini , Abdul Aziz  
Published: July 2023

Ada dua permasalahan yang menjadi kajian pokok dalam penelitian ini, yaitu pertama; bagaimana manajemen budaya religius di SDN II Pagendingan Galis Pamekasan?, Kedua; Apa saja faktor pendukung dan penghambat implementasi budaya religius di SDN II Pagendingan Galis Pamekasan. Penelitian ini menggunakan metode penelitian kualitatif, jenis deskriptif. Dengan prosedur pengumpulan data melalui wawancara dan observasi langsung. Sedangkan pengecekan keabsahan data dilakukan melalui perpanjangan kehadiran peneliti dan triangulasi. Hasil dari penelitian ini adalah sebagai berikut: Pertama; Manajemen implementasi budaya religius di SDN II pagendingan melalui beberapa tahapan perencanaan, pengorganisasi dan pembagian tugas, dan dilakasanaan dalam bentuk kegiatan antara lain shalat dhuha berjama`ah, membaca juz amma sebelum pelajaran di mulai, membaca do`a sebelum belajar, shalat dhuhur berjama`ah, membaca do`a sebelum pulang sekolah, membaca Yasin dan istighasah pada hari jum`at manis, melakukan pondok ramadhan, melaksanakan maulid nabi, santunan anak yatim di bulan asyura, kegiatan hari santri, santunan anak yatim dibulan a`syura, dan manajemen evaluasi pada nilai budaya religius yang telah ditetapkan. Kedua; faktor pendukung implementasi budaya religius di SDN II Pagendingan Galis Pamekasan dalam implementasi budaya religius dapat dibedakan menjadi tiga faktor, yaitu: 1. Faktor guru, 2. Faktor siswa, dan 3. Faktor orang tua. Sedangkan faktor penghambat implementasi budaya religius di SDN II Pagendingan galis pamekasan dalam implementasi budaya religius terdiri dari dua faktor yaitu: 1. Faktor siswa, dan 2. Faktor orang tua.
PENGARUH SUDUT ELEKTRODA 75, 85, 90 PADA LONGITUDINAL ARAH MUNDUR TERHADAP PRESENTASE PENETRASI
Authors: Hafni Hafni , Rifqi Rifqi 
Published: July 2023

Shielded Metal Arc Welding (SMAW) merupakan salah satu dari proses pengelasan cair (fusion welding) yang menghasilkan penyatuan yang homogen elektroda dengan logam dasar (base metal), yang disebabkan oleh busur listrik yang menghasilkan panas tinggi meleburkan elektroda dan logam dasar (base metal) secara bersamaan dan dilindungi oleh gas pelindung dari reeaksi kimia fluk elektroda. Kedalaman fusi (depth of fusion) yang terbentuk ditentukan oleh masukan panas ( heat input) , sudut elektroda dan arah pengelasan.
Penelitian dilakukan di laboratorium Teknik Mesin Institut Teknologi Padang. base metal yang digunakan adalah baja karbon rendah ST 37 dengan ukuran tebal 10 mm , Panjang 100 mm . lebar 100 mm. Pengelasan dilakukan pada permukaan base metal pada posisi bawah tangan (flat position), tipe sambungan (weld type) adalah surfacing weld sebanyak 4 jalur las yang masing masing jalur mempunyai jarak 20 mm. Panjang las 100 mm . spesikasi elektroda AWS E 6013 berdiameter 3,2 mm. Mesin las SMAW arus AC dengan voltage 30 V. current 85 A.
Sudut elektroda yang terukur antara elektroda dengan jalur las yaitu 750, 850, 900. Arah pengelasan mundur dimana eletroda menarik cairan las ke jalur las dan tinggi busur normal dimana jarak elektoda dengan base metal sama dengan diameter elektroda. Dari hasil pengelasan akan diperoleh presentasi penetrasi yaitu perbandingan kedalam fusi dengan lebar.
Hasil penelitian diperoleh kecepatan pengelasan : 2,48 mm/s untuk sudut eletroda 750 , 2,49 mm/s untuk sudut eletroda 850 dan 2,51 mm/s untuk sudut elektroda 90. Heat input untuk sudut elektroda750 adalah 1015,93 J/mm , heat input untuk sudut elektroda 850 adalah 1024,20 J/mm dan heat input untuk sudut elektroda 900 adalah 1015,93 J/mm. Dari perbandingan lebar dengan kedalaman fusi diperoleh ; sudut elektoda 85 mempunyai presentasi penetriasi sebesar 9,85 % lebih baik tinggi dibandingkan dengan sudut elektroda 750 mempunyai presentasi penetriasi sebesar 8,43 %, dan sudut elektroda 900 mempunyai presentasi penetrasi 8,35 %
Feedback stabilization applied to heart rhythm dynamics with integro-differential equations method
Authors: Yahalom Asher , Puzanov Natalia 
Published: July 2023

Abstract
In this paper we applied a chaos control method based on technique integro-differential equations for stabilization of unstable cardiac rhythm, which is described by the mathematical model of the modified Van der Pol equation.
Chaos control with this method may be useful for stabilization irregular heartbeat using a small perturbation. This method differs from other stabilization strategies by the absence of adjustable parameters and the lack of rough approximations in determining control functions whose control parameters are fixed by the properties of the unstable system itself.
Reliability analysis with the concept of optimal age replacement policy: A Copula Approach
Authors: Sengar Surabhi 
Published: July 2023

Abstract
This paper presents a comparative study of reliability analysis of a gas production plant, before and after applying optimal age replacement policy for a specific machine. The gas production plant is having six machines connected in the series configuration as sulfur (S) shaft, coal pit, reaction furnace, sulfur separation machine, adiabatic reactor, and cooling machine. Here, the optimal age replacement policy has been applied to the cooling machine as this machine is working under a wear out period i.e. it has completed its prescribed age (say T) and is still operational. Two different situations have been discussed to analyze the performance variation of the system i) when the model is working with high risk because the cooling machine is operational even after completion of its prescribed age ii) when the old cooling machine is replaced by a new one after completing the age, T. The failure of any machine can cause the model failure. Additionally, a situation of employee walkout is also considered a responsible factor for model failure. Supplementary variable technique and copula methodology have been applied to solve the markov model.
Lasting Enhancements in Neural Efficiency by Multi-session Transcranial Direct Current Stimulation in Working Memory Training
Authors: Ke Yufeng , Liu Shuang , Chen Long , Wang Xiashuang , Ming Dong 
Published: July 2023

Abstract
The neural basis for long-term behavioral improvement resulting from multi-session transcranial direct current stimulation (tDCS) combined with working memory training (WMT) remains unclear. In this study, we used task-related electroencephalography (EEG) measures to investigate the lasting neurophysiological effects of anodal high-definition (HD)-tDCS applied over the left dorsolateral prefrontal cortex (dlPFC) during a challenging WMT. Thirty-four healthy young adults were randomized to sham or active tDCS groups and underwent ten 30-minute training sessions over ten consecutive days, preceded by a pre-test and followed by post-tests performed one day and three weeks after the last session, respectively, by performing high-load WM tasks along with EEG recording. Multi-session HD-tDCS significantly enhanced the behavioral benefits of WMT. Compared to the sham group, the active group showed facilitated increases in theta, alpha, and beta task-related oscillations at the end of training and significantly increased P300 response 3 weeks post-training. Our results suggest that anodal tDCS over the left dlPFC during multi-session WMT enhances the behavioral benefits of WMT and facilitates a sustained improvement in WM-related neural efficiency.
Test Plan Generation for Live Testing of Cloud Services
Authors: Jebbar Oussama , Khendek Ferhat , Toeroe Maria 
Published: July 2023

Abstract
Live testing is performed in the production environment ideally without causing unacceptable disturbance to the production traffic. Thus, test activities have to be orchestrated properly to avoid test interferences with the production traffic. A test plan is the road map that specifies how the test activities need to be orchestrated. Developing a test plan includes tasks such as test configuration selection/generation, test configuration deployment planning, creating the test runs schedule, choosing strategies to mitigate the risk of test interferences, etc. The manual design of a test plan is tedious and error prone. This task becomes harder especially when the systems are large and complex. In this paper we propose an approach for automating test plans generation. With this approach we aim at reducing the time needed to execute the test plan while maintaining the service disruption at an acceptable level. We illustrate our approach with a case study and discuss its different aspects.
Nucleosomal DNA has topological memory
Authors: Segura Joana , Nikolaou Christoforos , Roca Joaquím 
Published: July 2023

Abstract

One fundamental yet elusive aspect of chromosome architecture is the topolome, which refers to how chromatin elements shape the path of DNA. Nucleosomes stabilise negative DNA supercoils, with most nucleosomes typically restraining a DNA linking number difference (∆Lk) of about -1.26. However, whether this capacity is uniform across the genome is unknown. Here, we calculated the ∆Lk restrained by over 4000 nucleosomes in yeast cells. To achieve this, we placed each nucleosome in a circular minichromosome and performed Topo-seq, a novel high-throughput procedure to inspect the topology of circular DNA libraries in a single gel electrophoresis. We discovered that nucleosomes inherently restrain distinct ∆Lk values depending on their genomic origin. Nucleosome DNA topologies differ significantly at gene bodies (∆Lk=-1.29), intergenic regions (∆Lk=-1.23), rDNA genes (∆Lk=-1.24) and telomeric regions (∆Lk=-1.07). Nucleosomes nearby the transcription start and termination sites also exhibit singular ∆Lk values. Our findings demonstrate that nucleosome DNA topology is imprinted by its native chromatin context and persists when the nucleosome is relocated. Therefore, the intrinsic topology of nucleosomal DNA emerges as a new determinant of chromatin architecture and function. Our findings also validate the potential of Topo-seq, laying the foundation for the field of topolomics.
Electrocatalytic on-site oxygenation for transplanted cell-based-therapies
Authors: Lee Inkyu , Surendran Abhijith , Fleury Samantha , Gimino Ian , Curtis Alexander , Fell Cody , Shiwarski Daniel , El-Refy Omar , Rothrock Blaine , Jo Seonghan , Schwartzkopff Tim , Mehta Abijeet , John Sharon , Ji Xudong , Nikiforidis Georgios , Feinberg Adam , Hester Josiah , Weber Douglas , Veiseh Omid , Rivnay Jonathan , Cohen-Karni Tzahi 
Published: July 2023

Abstract
Implantable cell therapies and tissue transplants require sufficient oxygen supply to function and are limited by a delay or lack of vascularization from the transplant host1,2. Exogenous oxygen production can support cells and tissues, such as pancreatic islets and engineered therapeutic cells. Previous oxygenation strategies have targeted gas circulation or decomposition of solid peroxides. These strategies however require bulky implants, transcutaneous supply lines, and are limited in their total oxygen production or regulation3,4. Readily integrated and controlled production of oxygen has eluded cell therapy devices. Here, we show an electrocatalytic approach that enables bioelectronic control of oxygen generation in complex cellular environments to sustain engineered cell viability and therapy production under hypoxic stress and at high cell densities. Nanostructured sputtered iridium oxide serves as an ideal catalyst for oxygen evolution reaction (OER) at neutral pH. It enables a lower OER onset and shows selective oxygen production without evolution of toxic side products over a 300 mV window of operation. This electrocatalytic on site oxygenator (ecO2) can sustain high cell loadings (>60k cells/mm3) in hypoxic conditions in vitro and in vivo. Our results demonstrate that exogenous oxygen production devices can be readily integrated into bioelectronic platforms and enable high cell loadings in smaller device footprints with broad applicability.
Assessing Nurses' Knowledge of Acute ST-Elevation Myocardial Infarction Management in Cardiac-Related Wards: A Survey Study
Authors: Geraiely Babak , Fazeli Behrouz , Moghadam Arman Soltani , Larti Farnoosh 
Published: July 2023

Abstract
Introduction:
Cardiovascular diseases (CVDs) are responsible for 1 in 5 deaths in the US and are a leading cause of mortality worldwide. Risk factors for CVDs include age, gender, race, lifestyle choices, and health conditions such as hypertension and diabetes. Acute ST-elevation myocardial infarction (STEMI), caused by the blockage of coronary arteries, is an acute critical manifestation of CVDs, with symptoms including chest pain, nausea, and arrhythmia. Nurses are crucial in managing patients with MI and reducing the associated morbidity and mortality. Their knowledge should be regularly updated to align with WHO and AHA guidelines. Herein, we tried to evaluate nurses’ level of information regarding myocardial infarction.
Methods
A survey assessing the level of knowledge among nurses working in cardiac-care-related wards about acute ST-elevation myocardial infarction was conducted at Tehran University of Medical Sciences hospitals. We used a questionnaire reviewed and validated by cardiology professors after calculating the CVR (content validity ratio) and CVI (content validity index).
Results
347 nurses (68.9% females and 31.1% males) were included in the survey. Most of the participants had Bachelor’s degrees (87.1%). The mean duration of employment and total score were 10.5 years and 10.08, respectively. After scoring the questionnaire, 162 nurses (46.7%) had average scores, while 20 nurses (5.8%) had very poor scores. Those older and with more experience scored better (P < 0.001). Nurses of the Cath-Lab department had a statistically significant better score compared to other cardiac-related medical wards. Additionally, post-CCU (coronary care unit) nurses demonstrated the lowest level of knowledge. We identified no statistically significant difference between the level of knowledge and gender, shift time, and academic degree (p = 0.722, p = 0.051, p = 0.494). Additionally, Cath-lab and CCU nurses had a better understanding of door-to-balloon time.
Conclusion
The study evaluated nurses' scientific knowledge and ability regarding acute STEMI care in Tehran University of Medical Sciences hospitals. The results showed that overall, the nurses' knowledge level was average and acceptable. Nurses with more experience and age had better knowledge and ability, especially those working in Lab Cath and CCU departments, than the emergency room and post-CCU nurses. However, a concerning finding was that 27.1% of all nurses scored poorly in this area, indicating a need for further training to improve patient outcomes.
Effects of surface modification methods on physical, mechanical, and microstructural properties of sustainable bamboo aggregate subjected to cementitious materials
Authors: Wei Yang , Wang Gaofei , Wang Jiaqing , Chen Sibei , Zhou Zhengyan 
Published: July 2023

Abstract
To alleviate the serious loss of gravel resources and improve the sustainability of concrete materials, this study innovatively proposes the development of a new type of bamboo aggregate from green and renewable Phyllostachys edulis (Moso) bamboo to replace traditional gravel aggregates. To realize the direct application of bamboo aggregates, this study proposes the use of epoxy mortar (EM) and polyurethane (PE) adhesives to modify the bamboo surface. Compared to unmodified and PE-modified bamboo, EM-modified bamboo showed significantly improved physical and mechanical properties. Durability tests revealed that the modified bamboo, especially EM-modified bamboo, was less affected by acidic and alkaline corrosion than the unmodified bamboo and the mass loss rate was almost zero. In the early stages of alkaline corrosion, the strength of the bamboo increased, and then began to decrease after 28 d. The removal of the outer green bamboo significantly improved the adhesion of the adhesive to the bamboo surface, as confirmed by pull-out tests. A sufficient bonding area between the EM-modified bamboo and the cement matrix remained after compression damage, whereas obvious debonding behavior between the cement matrix and unmodified and PE-modified bamboo was observed. In summary, EM modification significantly improved the comprehensive performance of bamboo aggregates. This study is expected to help improve the utilization rate of bamboo, promote bamboo concrete, reduce carbon emissions, and develop sustainable materials.
A Novel Relative Distance Protein Fingerprint Algorithm for Searching DNA Mimic Proteins
Authors: Chien Chia-Yen , Chou Hsin-Hung , Hsu Kai-Cheng , Liao Bo-Cheng , Wang Hao-Ching , Hsieh Sun-Yuan 
Published: July 2023

Abstract
Backgground: DNA mimic proteins are relatively obscure control factors that share some similarities with DNA. They emulate the negative charge distribution of the phosphate backbone of DNA by using negatively charged amino acids, namely, aspartic acids (ASP or D) and glutamic acids (GLU or E). Known DNA mimic proteins control various cellular mechanisms, such as transcription, DNA repair, and gene regulation, by intervening in the binding of DNA to effector proteins. In addition to being functionally important, DNA mimic proteins have potential for use in biotechnological applications. For example, the DNA mimic protein AcrIIA4 from Listeria monocytogenes prophages can improve the accuracy of gene editing by controlling the activity of CRISPR-Cas9. Therefore, DNA mimic proteins warrant further research. However, most DNA mimic proteins cannot be identified using traditional bioinformatics methods owing to their unique amino acid sequences and structural features.
Results: We developed a new protein fingerprint, called relative distance protein fingerprint (RD-PFP), that can be used to analyze the distribution of amino acids on a protein surface. We optimized our RD-PFP by using machine learning and the characteristic feature of DNA mimic proteins (namely, their DNA-like negative charge distribution) to more accurately predict DNA mimicry from protein sequences.
Conclusion: Our pioneering study contributes to the development of machine learning--based bioinformatics methods for screening DNA mimic proteins.
Reconfigurable Memlogic Long Wave Infrared Sensing with Superconductors
Authors: An Zhenghua , Chen Bingxin , Pan Hong , Xue Huanyi , Zhu Liping , Song Yanru 
Published: July 2023

Abstract
Superconductors possess advantages in two device categories: quantum-limited optical sensors covering a wide electromagnetic spectrum and quantum logic devices supporting computation beyond von Neumann architectures. Combining both categories presents an opportunity to revolutionize the sensory industry through in-sensor computing, reducing communication latency and power consumption. Additionally, optically encoded computation enables visual input for quantum computers and facilitates long-distance interactions between distributed systems. However, such attempts are still nascent, primarily focusing on new materials other than superconductors. Here, we report a superconducting niobium long-wave infrared sensor with logic and memory functions. Exploiting the bistability of superconducting nanowires, state transitions between normal and superconducting states can be triggered by combined optical and electrical pulses. The endurance performance, allowing for states persistence over time (>105 s), exceeds conventional phase change memories. Utilizing these switchable characteristics, our memlogic sensor supports reconfigurable logic functions, making it suitable for encrypted communication applications. Enhanced by an in-situ resonant metamaterial absorber design, it achieves ultrahigh sensitivity in the long-wave infrared region (D*=1.1×1015 Jone@12.2 μm m). This work establishes the foundation for all-in-one memlogic optical sensors based on the superconductor platform, surpassing human retina limitations and facilitating intelligent remote sensing, encrypted communication and visional-input superconducting quantum computer etc.
Artificial Intelligence Based Automated Actuarial Loss Reserving Model for the General Insurance Sector
Authors: Mahohoho Brighton , Chimedza Charles , Matarise Florance , Munyira Sheunesu 
Published: July 2023

Abstract
We developed an Automated Actuarial Loss Reserving Model using Artificial Intelligence based machine learning methods since the traditional actuarial reserving techniques are no longer compatible with the increase in technological advancement currently at hand .We have also conscripted the introduction of bancassurance services to general insurance companies which involves automation of microfinance services into the car insurance process. The introduction of the base rates, variable rates and final rates on this model to policyholders significantly reduces lapse rates and brings together a combination of new and existing policyholders in the insurance company. We have extended the frequency severity models using eight machine learning algorithms and derived the Automated Actuarial Loss Reserving Model adjusted to inflation which remarkably performed well with Random Forests models being the best model among the machine learning models used in the study.