bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hubungan Antara Sikap Wanita Usia Subur (WUS) Dengan Upaya Deteksi Dini Inspeksi Visual Dengan Asam Asetat (IVA) Di Desa
Authors: Dewi Putu Adi Cahya 
Published: September 2021

Background: Patients undergoing surgery are often anxious about the surgical procedure, its possible findings, postoperative limitations, changes in normal body function and prognosis. Anxiety can be reduced by nursing actions that focus on therapeutic communication for the patient and his family.
Purpose: To determine the relationship between nurse therapeutic communication and the level of anxiety of preoperative patients in the Central Surgical Installation Room of BRSUD, Tabanan Regency. Methods: This study is a quantitative study with an analytic observational design with a cross sectional approach. In this study, using non-probability sampling with Consecutive Sampling technique with a total sample of 56 respondents. The analysis test used is the Spearman Rank with a significance value of 0.05.
Results: Based on the results of the study, it was found that the therapeutic communication of nurses was mostly good as many as 42 respondents (75.0%) and the anxiety level of the preoperative patients was mostly moderate as many as 20 people (35.7%). The results of the correlation test using the Spearman Rank obtained a sign value of 0.000 with p <0.05, which means that there is a relationship between nurses' therapeutic communication and the preoperative patient anxiety level.
Conclusion: There is a relationship between nurse therapeutic communication with the level of anxiety of preoperative patients in the Central Surgical Installation Room of BRSUD, Tabanan Regency.
Pengaruh Psikoedukasi Tentang Manajemen Stress Dalam Meningkatkan Self Efficacy Keluarga Merawat ODGJ Di Wilayah Kerja Puskesmas Balowerti Kota Kediri
Authors: Solehah Eka Lutfiatus 
Published: September 2021

Beaground : The treatment of mental disorders is multifactorial, meaning that each treatment is interrelated and cannot work individually. For example, a patient who has received medication well, gets a good treament process at the horpital, but if he does get support from his family and environment, the patient my relapse.
Destination : The Purpose of the study was determine the effect of providing psychoeducation on family self-efficacy in caring for ODGJ patients in the Balowerti Health Center Work Area, Kediri City.
Method : The research design used is pre-experimental with pre-post-test design. The research variable is the provition of psychoeducation os the independent variable and self-efficacy as the dependent variable. the population is the entire family of ODGJ patients in the work area of the Balowerti Health Center, Kediri City, with 41 respondents. the research sample was taken with a total sampling technique of 41 respondents. Data were collected using a questionnaire sheet and processed by the Wilcoxon tes.
Results : The results showed that before being given psychoeducation, most of the families with schizophrenia had low self-efficacy in treating patients with 17 respondents (77.3%) and after being given psychoeducation most had high self-efficacy as many as 18 respondents (81.8%). The results of the Wilcoxon test showed the value of = 0.00 < = 0.05 so that H0 was rejected so that there was an effect of giving psychoeducation to families in caring for schizophrenic patients affecting family self-efficacy to be better than before being given psychoeducation.
Conclution : Providing psychoeducation can increase the information and insight that families have so that families can increase confidence and self-confidence in caring for family members with mental disorders.
Reseña de: Moro Ipola, Milagros: Cosas de la edad: la adolescencia en la antigua Roma
Authors: Novillo López Miguel Ángel 
Published: September 2021

Reseña de: Moro Ipola, Milagros: Cosas de la edad: la adolescencia en la antigua Roma, Madrid, Dilema, 2021, 334 pp., ISBN: 305 pp. + 28 láminas, ISBN: 978-84-9827-507-0.
PARA O TRABALHO OU PELO TRABALHO? CONSIDERAÇÕES SOBRE CURRÍCULO NO ENSINO MÉDIO INTEGRADO
Authors: Carmo Ana Carolina Rigoni , Gonçalves João Antônio Miranda Tello Ramos 
Published: September 2021

Desenvolver currículos no Ensino Médio Integrado é um desafio a contemplar os fundamentos da formação omnilateral e superar a dualidade estrutural brasileira. No objetivo de identificar conceitos e perspectivas à superação da segmentação curricular e pela sua reconfiguração, este artigo emprega uma revisão bibliográfica sobre a educação profissional e sua relação com o currículo escolar, concluindo pela reintegração do ensino médio e profissional não apenas no mesmo espaço ou estrutura, mas na interdisciplinaridade e constituição dialética do ser humano pelo trabalho, e não para o trabalho. No paradoxo de separação e identidade entre trabalho e educação, cabe ao currículo integrado observar como o conhecimento científico e cultural se articula e se converte em trabalho, originando as formas e a organização com as quais se produz.
Characterization and Plant Growth Promoting Properties of a Bacillus sp. Isolated from Maize Roots
Authors: Kelvin-Asogwa Lynda , Ogbo Frank C. 
Published: September 2021

Aim: To isolate plant growth promoting Bacillus strains from maize roots and to characterize using molecular methods, the strain with greatest potential for plant growth promotion.
Place and Duration of Study: Department of Applied Microbiology and Brewing, Nnamdi Azikiwe University, Awka, between February 2019 and March 2020.
Methodology: The isolation of plant growth promoting rhizobacteria (PGPR) from maize roots was made using Nitrogen Free Bromothymol Blue (NFB) broth. They were screened for Phosphate solubilizing activities on Pikovskaya (PVK) agar. Quantitative determination and solubilization of different types of Phosphates was carried out using Pikovskaya broth. Optimization of factors affecting phosphate such as NaCl concentration, initial pH of the medium, size of inoculum, was done using pvk broth. Evaluation of other plant growth promoting properties were carried out such as IAA, Ammonia, cellulase and HCN production.
Results: Eleven Nitrogen fixing bacteria were isolated using NFB broth based on colour change of the medium from green to blue. Test for phosphate solubilization abilities of the organisms revealed that nine of the isolates solubilized phosphate on PVK agar. Organism coded with IS52 gave the least solubilization index of 1.14 while isolate IS19 gave the highest index of 3.4. Isolate IS19 yielded the highest amount of 73.5µg/ml P, while isolate IS30 was the weakest solubilizer in PVK broth, yielding 19.4µg/ml P. The best isolate IS19, produced the plant growth hormone Indole Acetic acid at a concentration of 105.4μg/ml. The organism also gave a positive result for ammonia and cellulase production but did not produce Hydrogen cyanide. It was identified as Bacillus subtilis using the 16S rRNA gene sequencing.
Conclusion: Bacillus subtilis fixed Nitrogen qualitatively and solubilized insoluble phosphates in addition to other plant growth promoting properties, thus Bacillus subtilis has potential for plant growth promotion, making it an efficient strain for biofertilizer production
Role of Microalbuminuria and Insulin Resistance as Predictive Biomarkers for Nephropathy in Obese Individuals – A Study Protocol
Authors: Jha Roshan Kumar , Dhok Archana , Shukla Samarth , Acharya Sourya , Anjankar Ashish 
Published: September 2021

Background: Obesity is a compounded, multifactorial, and largely curable disease, affecting over a third of the public community today. The World Health Organization (WHO) has declared obesity as a global epidemic, also stressing that in many cases it remains an under-recognized problem of the public health agenda. It is a global health concern and a major risk factor for diabetes, hypertension, and dyslipidemia, which may lead to decrease in renal function and ultimately obesity related nephropathy.
As per, the epidemiological and experimental data have indicated, microalbuminuria (MAU) is an early marker of target organ damage and is associated with all-cause mortality, cardiovascular diseases (CVDs) incidence, and progression of nephropathy in non-diabetic subjects. Insulin resistance is present in obese individuals. Obesity related insulin resistance may arise from defects in fatty acid oxidation, and secondary β-cell lipotoxicity.
The present study is a Cross-sectional analytical observational study; the study will be carried out in the Dept. of Biochemistry at Jawaharlal Nehru Medical College, ABV Rural Hospital, Sawangi (M), Wardha. Participants will be outpatients of this institution. Any participant fulfilling the eligibility criteria will be included in the study. Protocol amendments are not expected. However, if necessary, any modification to the protocol will be reported to the entire investigational team through a conference. All changes will be included in the final manuscript prior to submission.
Aim and Objectives: Present study is targeted to assess role and correlation of microalbuminuria and insulin resistance as predictive biomarkers for nephropathy in obese subjects.
Implications: Present study will be helpful to decrease morbidity and mortality, specifically associated with comprised renal status and prevent nephropathy. The study will be helpful to detect early clinicopathological phase of comprised renal status.
Conclusion: The purpose of this study is to investigate role of microalbuminuria and insulin resistance as predictive markers of nephropathy in obese individuals.
Effect of Co-fermentation of Cassava and African Yam Bean on some Compositional and Sensory Properties of Pupuru
Authors: Adesola M. O. , Adejuyitan J. A , Idowu O.O. 
Published: September 2021

Aim: Consumption of pupuru (a cassava based food) is on the increasing trend in most parts of Nigeria, hence the need to improve the nutrients with under-utilised legume, African yam bean (AYB). The aim of this work was to co-ferment cassava and AYB at varying proportion and processed to pupuru flour.
Study Design: Randomised Block Design was used in this study to assess the influence of different substitution levels of AYB on the properties of pupuru flour and the meal prepared from it.
Methodology: The cassava roots were washed, peeled and grated to mash while the AYB was boiled, decorticated and milled into slurry. The AYB slurry was co-fermented with the cassava mash at different substitution level (0, 10, 20, 30 and 40%) and processed to pupuru flour. The 0% served as control (100% cassava). Samples of pupuru flour were evaluated for proximate composition, mineral and anti-nutritional contents. Meal (stiff dough) prepared from the flour was subjected to sensory evaluation. Data obtained were subjected to statistical analysis using SPSS software package.
Results: The protein content ranged from 2.9 to 38.68%. The bulk density, swelling capacity, water absorption capacity ranged from 0.72% - 0.86%, 245.56% – 351.84%, and 191.01% - 255.36% respectively. The oxalate, tannin, phytate, and cyanide contents were in the range of 80.00-175.00 mg/100g, 24.55-73.70 mg/100g, 1.34–3.85 mg/100g, and 0.29-0.58 mg/100g respectively. The sensory attributes of pupuru meal indicated a significant difference (p < 0.05) among the samples, with 100% cassava pupuru been the most preferred in terms of taste and general acceptability.
Applied Machine Learning for Developing Next‐Generation Functional Materials
Authors: Dinic Filip , Singh Kamalpreet , Dong Tony , Rezazadeh Milad , Wang Zhibo , Khosrozadeh Ali , Yuan Tiange , Voznyy Oleksandr 
Published: September 2021

AbstractMachine learning (ML) is a versatile technique to rapidly and efficiently generate insights from multidimensional data. It offers a much‐needed avenue to accelerate the exploration and investigation of new materials to address time‐sensitive global challenges such as climate change. The availability of large datasets in recent years has enabled the development of ML algorithms for various applications including experimental/device optimization and material discovery. This perspective provides a summary of the recent applications of ML in material discovery in a range of fields, from optoelectronics to batteries and electrocatalysis, as well as an overview of the methods behind these advances. The paper also attempts to summarize some key challenges and trends in current research methodologies.
Cephalopod‐Inspired Stretchable Self‐Morphing Skin Via Embedded Printing and Twisted Spiral Artificial Muscles
Authors: Fei Fan , Kotak Parth , He Li , Li Xiaofeng , Vanderhoef Cyan , Lamuta Caterina , Song Xuan 
Published: September 2021

AbstractCutaneous muscles drive the texture‐modulation behavior of cephalopods by protruding several millimeters out of the skin. Inspired by cephalopods, a self‐morphing, stretchable smart skin containing embedded‐printed electrodes and actuated by Twisted Spiral Artificial Muscles (TSAMs) is proposed. Electrothermally actuated TSAMs are manufactured from inexpensive polymer fibers to mimic the papillae muscles of cephalopods. These spirals can produce strains of nearly 2000% using a voltage of only 0.02 V mm−1. Stretchable and low‐resistance liquid metal electrodes are embedded‐printed inside the self‐morphing skin to facilitate the electrothermal actuation of TSAMs. Theoretical and numerical models are proposed to describe the embedded printing of low‐viscosity Newtonian liquid metals as conductive electrodes in a soft elastomeric substrate. Experimental mechanical tests are performed to demonstrate the robustness and electrical stability of the electrodes. Two smart skin prototypes are fabricated to highlight the capabilities of the proposed self‐morphing system, including a texture‐modulating wearable soft glove and a waterproof skin that emulates the texture‐modulation behavior of octopi underwater. The proposed self‐morphing stretchable smart skin can find use in a wide range of applications, such as refreshable Braille displays, haptic feedback devices, turbulence tripping, and antifouling devices for underwater vehicles.
Phase–Property Diagrams for Multicomponent Oxide Systems toward Materials Libraries
Authors: Velasco Leonardo , Castillo Juan S. , Kante Mohana V. , Olaya Jhon J. , Friederich Pascal , Hahn Horst 
Published: September 2021

AbstractExploring the vast compositional space offered by multicomponent systems or high entropy materials using the traditional route of materials discovery, one experiment at a time, is prohibitive in terms of cost and required time. Consequently, the development of high‐throughput experimental methods, aided by machine learning and theoretical predictions will facilitate the search for multicomponent materials in their compositional variety. In this study, high entropy oxides are fabricated and characterized using automated high‐throughput techniques. For intuitive visualization, a graphical phase–property diagram correlating the crystal structure, the chemical composition, and the band gap are introduced. Interpretable machine learning models are trained for automated data analysis and to speed up data comprehension. The establishment of materials libraries of multicomponent systems correlated with their properties (as in the present work), together with machine learning‐based data analysis and theoretical approaches are opening pathways toward virtual development of novel materials for both functional and structural applications.
Design of NiOx/Carbon Heterostructure Interlayer to Improve Hole Extraction Efficiency of Inverted Perovskite Solar Cells
Authors: Yin Xin , Zhai Jifeng , Ingabire Providence Buregeya , Du Pingfan , Chen Wei‐Hsiang , Song Lixin , Xiong Jie , Ko Frank 
Published: September 2021

AbstractAn efficient hole transport layer (HTL) with desirable charge separation and hole extraction efficiency is crucial for inverted perovskite solar cells. However, the interfacial trap recombination loss and mismatched band alignment limit the actual performance of device, especially the open‐circuit voltage (VOC). To address this issue, a unique NiOx/carbon heterostructure is designed as efficient anode interlayer for optimizing the interfacial charge transport dynamics between HTL and perovskite. Such a buffer interlayer can significantly contribute to the improved hole conductivity and hole extraction efficiency at HTL/perovskite interface. Moreover, the more favorable gradient energy level alignment can be formed to increase the interfacial electric field, inhibit the nonradiative recombination, and minimize the VOC loss. Therefore, the champion device achieves 19.51% efficiency with high VOC of 1.13 V, close to the highest power conversion efficiencies of MAPbI3 device. This work suggests that interface design can be an alternative approach to fabricate efficient inverted NiO‐based devices.
Deformable and Robust Core–Shell Protein Microcapsules Templated by Liquid–Liquid Phase‐Separated Microdroplets
Authors: Xu Yufan , Shen Yi , Michaels Thomas C. T. , Baumann Kevin N. , Vigolo Daniele , Peter Quentin , Lu Yuqian , Saar Kadi L. , Vella Dominic , Zhu Hongjia , Li Bing , Yang He , Guttenplan Alexander P. M. , Rodriguez‐Garcia Marc , Klenerman David , Knowles Tuomas P. J. 
Published: September 2021

AbstractMicrocapsules are a key class of microscale materials with applications in areas ranging from personal care to biomedicine, and with increasing potential to act as extracellular matrix (ECM) models of hollow organs, tissues, or biomolecular condensates. Such capsules are conventionally generated from non‐ECM materials including synthetic polymers. Here, robust microcapsules with controllable shell thickness from physically‐ and enzymatically‐crosslinked gelatin are fabricated, and a core–shell architecture is achieved by exploiting a liquid–liquid phase‐separated aqueous system in a one‐step microfluidic process. Microfluidic mechanical testing reveals that the mechanical robustness of thicker‐shell capsules could be controlled through modulation of the shell thickness. Furthermore, the microcapsules demonstrate environmentally‐responsive deformation, including buckling driven by osmosis and external mechanical forces. A sequential release of cargo species is obtained through the degradation of the capsules. Stability measurements show the capsules are stable at 37 °C for more than 2 weeks. Finally, through gel–sol transition, microgels function as precursors for the formation of all‐aqueous liquid–liquid phase‐separated systems that are two‐phase or multiphase. These smart capsules that can undergo phase transition are promising models of hollow biostructures, microscale drug carriers, and building blocks or compartments for active soft materials and robots.
Activation of FGFR2 Signaling Suppresses BRCA1 and Drives Triple‐Negative Mammary Tumorigenesis That is Sensitive to Immunotherapy
Authors: Lei Josh Haipeng , Lee Mi‐Hye , Miao Kai , Huang Zebin , Yao Zhicheng , Zhang Aiping , Xu Jun , Zhao Ming , Huang Zenan , Zhang Xin , Chen Si , Jiaying NG , Feng Yuzhao , Xing Fuqiang , Chen Ping , Sun Heng , Chen Qiang , Xiang Tingxiu , Chen Lin , Xu Xiaoling , Deng Chu‐Xia 
Published: September 2021

AbstractFibroblast growth factor receptor 2 (FGFR2) is a membrane‐spanning tyrosine kinase that mediates FGF signaling. Various FGFR2 alterations are detected in breast cancer, yet it remains unclear if activation of FGFR2 signaling initiates tumor formation. In an attempt to answer this question, a mouse model berrying an activation mutation of FGFR2 (FGFR2‐S252W) in the mammary gland is generated. It is found that FGF/FGFR2 signaling drives the development of triple‐negative breast cancer accompanied by epithelial‐mesenchymal transition that is regulated by FGFR2‐STAT3 signaling. It is demonstrated that FGFR2 suppresses BRCA1 via the ERK‐YY1 axis and promotes tumor progression. BRCA1 knockout in the mammary gland of the FGFR2‐S252W mice significantly accelerated tumorigenesis. It is also shown that FGFR2 positively regulates PD‐L1 and that a combination of FGFR2 inhibition and immune checkpoint blockade kills cancer cells. These data suggest that the mouse models mimic human breast cancers and can be used to identify actionable therapeutic targets.
Porous MOFs–Zinc Cobaltite/Carbon Composite Nanofibers for High Lithium Storage
Authors: Dai Zixin , Long Zhiwen , Shi Chu , Wu Caiqin , Qiao Hui , Wang Keliang 
Published: September 2021

AbstractThe zinc cobaltite possesses merit of high theoretical specific capacity. However, issues of low conductivity and volume expansion during lithiation and delithiation lead to severe capacity fading. In this work, a porous zinc cobaltite/carbon composite nanofiber is synthesized with a metal–organic frameworks (MOFs) structure through electrospinning, in situ growth, and hydrothermal reaction. The obtained zinc cobaltite/carbon composite nanofibers have an improved specific surface area (90.61 m2 g‐1), enabling excellent electrochemical performance as anode materials in Li‐ion batteries. Briefly, a high initial discharge capacity of 2468 mAh g‐1 and reversible capacity of 2008 mAh g‐1 after the 200 cycles, and an outstanding rate capability of 937 mAh g‐1 at 2 A g‐1 are achieved. The capacity fading of MOFs–zinc cobaltite/carbon composite nanofibers is significantly improved, which can be attributed to the following reasons: i) the MOFs structure effectively relieve the strain stemming from volume expansion of transition metal; ii) the abundance of mesoporous structure facilitates the electron transport for Li+ diffusion rate by shortening the Li‐ion diffusion path during lithiation/delithiation process; iii) the carbon nanofibers with excellent conductivity enable efficient conduction efficiency of lithium ions and electrons. The proposed strategy offers a new perspective to prepare high‐performance electrode for lithium‐ion batteries.
Frontier luminous strategy of functional silica nanohybrids in sensing and bioimaging: From ACQ to AIE
Authors: Xu Lijie , Jiang Xiaoping , Liang Kang , Gao Meng , Kong Biao 
Published: September 2021

AbstractFluorescent silica organic–inorganic nanohybrids which combine designable luminescence performance of organic fluorescent dyes and various outstanding advantages of silica nanomaterials have attracted increasing research interests in these fascinating areas. Optical transparency and facile functional modification properties of silica material provide great opportunities to integrate desired fluorescent molecules for various frontier luminous applications. However, conventional organic dyes are typically subject to aggregation‐caused quenching due to their aggregation in silica matrix, which could be detrimental for their performance in sensing and biomedical applications. The appearance of aggregation‐induced emission luminogens (AIEgens) paves a new way for developing highly efficient fluorescent silica nanohybrids (FSNs). FSNs with intensive luminescence could be obtained due to the formation of aggregates and the restricted intramolecular motion of AIEgens in silica inorganic matrix. In this review, the reported fabrication methodologies of various FSNs based on colloidal silica nanoparticles (SNs) and mesoporous SNs including physical entrapment and covalent strategies are summarized. Especially, the AIEgens‐functionalized silica hybrid nanomaterials are introduced in detail. Furthermore, chemical sensing, biosensing, and bioimaging applications of resultant FSNs are also discussed.