bluuebunny/crossref_metadata_2025 huggingface dataset:
CCDC113 stabilizes sperm axoneme and head-tail coupling apparatus to ensure male fertility
Authors: Wu Bingbing , Long Chenghong , Yang Yuzhuo , Zhang Zhe , Ma Shuang , Ma Yanjie , Wei Huafang , Li Jinghe , Jiang Hui , Li Wei , Liu Chao
Published: November 2024

The structural integrity of the sperm is crucial for male fertility, defects in sperm head-tail linkage and flagellar axoneme are associated with acephalic spermatozoa syndrome (ASS) and the multiple morphological abnormalities of the sperm flagella (MMAF). Notably, impaired head-tail coupling apparatus (HTCA) often accompanies defects in the flagellum structure, however, the molecular mechanisms underlying this phenomenon remain elusive. Here, we identified an evolutionarily conserved coiled-coil domain-containing (CCDC) protein, CCDC113, and found the disruption of CCDC113 produced spermatozoa with disorganized sperm flagella and HTCA, which caused male infertility. Further analysis revealed that CCDC113 could bind to CFAP57 and CFAP91, and function as an adaptor protein for the connection of radial spokes, nexin-dynein regulatory complex (N-DRC) and doublet microtubules (DMTs) in the sperm axoneme. Moreover, CCDC113 was identified as a structural component of HTCA, collaborating with SUN5 and CENTLEIN to connect sperm head to tail during spermiogenesis. Together, our studies reveal that CCDC113 serve as a critical hub for sperm axoneme and HTCA stabilization, providing insights into the potential pathogenesis of infertility associated with human
CCDC113
mutations.
Federated learning-driven collaborative recommendation system for multi-modal art analysis and enhanced recommendations
Authors: Gong Bei , Mahsan Ida Puteri , Xiao Junhua
Published: November 2024

With the rapid development of artificial intelligence technology, recommendation systems have been widely applied in various fields. However, in the art field, art similarity search and recommendation systems face unique challenges, namely data privacy and copyright protection issues. To address these problems, this article proposes a cross-institutional artwork similarity search and recommendation system (AI-based Collaborative Recommendation System (AICRS) framework) that combines multimodal data fusion and federated learning. This system uses pre-trained convolutional neural networks (CNN) and Bidirectional Encoder Representation from Transformers (BERT) models to extract features from image and text data. It then uses a federated learning framework to train models locally at each participating institution and aggregate parameters to optimize the global model. Experimental results show that the AICRS framework achieves a final accuracy of 92.02% on the SemArt dataset, compared to 81.52% and 83.44% for traditional CNN and Long Short-Term Memory (LSTM) models, respectively. The final loss value of the AICRS framework is 0.1284, which is better than the 0.248 and 0.188 of CNN and LSTM models. The research results of this article not only provide an effective technical solution but also offer strong support for the recommendation and protection of artworks in practice.
Effects of plastic ingestion on blood chemistry, gene expression and body condition in wedge-tailed shearwaters (Ardenna pacifica)
Authors: Mejia Nicole , Termignoni-Garcia Flavia , Learned Jennifer , Penniman Jay , Edwards Scott V.
Published: November 2024

Plastic pollution is a global threat and occurs in almost every marine ecosystem. The amount of plastic in the ocean has increased substantially over the past decade, posing a mounting threat to biodiversity. Seabirds, typically top predators in marine food chains, have been negatively affected by plastic pollution. Here we explored the sublethal effects of plastic ingested by wedge-tailed shearwaters (Ardenna pacifica) on the island of Maui, Hawai‘ i. Using analyses of blood chemistry, gene expression, morphometrics and regurgitated stomach contents, we investigated the effects of plastic ingestion on adult wedge-tailed shearwaters from three established colonies. We detected plastic in 12 out of 28 birds; however, we did not find significant relationships between ingested plastic, body condition, gene expression and blood analytes. We found a negative relationship between weight, blood urea nitrogen (BUN), hematocrit and potassium, that could reflect body condition in this population. Genes associated with metabolic, biosynthetic pathways, inflammatory responses, and ribosome function were also upregulated in birds placed in a ‘light weight’ category. We suggest that upregulated metabolic activity and elevated levels of hematocrit, BUN and potassium in light weight birds might imply dehydration and a response to increased energetic demand from stressors. Repetitive sampling could better inform whether body condition improves throughout the breeding season. We urge researchers to continue using multiple proxies to study effect of plastic ingestion in free-living populations.
Comparative efficacy and safety of 180 W XPS vs. 120 W HPS GreenLight laser therapy for benign prostatic hyperplasia: a systematic review and meta-analysis
Authors: Wang Min , Xi Yu , Qiu Zan , Huang Nanxiang , Zhang Li , Liu Jinlong
Published: November 2024

Objectives

To compare the surgical and functional outcomes of the 120 W HPS and 180 W XPS GreenLight laser vaporization systems in the treatment of benign prostatic hyperplasia (BPH).

Methods

In January 2024, a comprehensive search across PubMed, Cochrane Library, and EMBASE was conducted following PRISMA guidelines, registered under PROSPERO (CRD42024531176). Studies comparing 120 W and 180 W GreenLight lasers in BPH treatment were assessed for clinical outcomes.

Results

Eight studies were included. The 180 W XPS system improved operation time (MD: 12.70, 95% CI [5.29–20.11], p = 0.0008), lasing duration (MD: 10.09, 95% CI [0.85–19.33], p = 0.03), and catheterization duration (MD: 0.43, 95% CI [0.12–0.74], p = 0.007). No significant differences in energy consumption, energy density, or length of hospital stay were found. Functional outcomes such as International Prostate Symptom Score and maximum urinary flow rate showed no significant differences, except in quality of life (MD: 0.43, 95% CI [0.06–0.80], p = 0.02) and prostate-specific antigen levels (MD: −0.77, 95% CI [−1.28 to −0.25], p = 0.003). The 180 W system exhibited a lower rate of overall (OR: 1.52, 95% CI [1.14–2.04], p = 0.005) and minor complications (OR: 1.84, 95% CI [1.27–2.66], p = 0.001), with no significant differences in major complications or other adverse events.

Conclusions

The 180 W XPS system demonstrates enhanced efficiency and reduced complication rates, offering a favorable option for BPH treatment, particularly for larger prostates. Future studies should focus on randomized trials to confirm these findings and assess long-term outcomes.
Effect of Nutrient Management and Mulching on Growth Parameters, Yield Attributes and Yield of Pearl Millet [Pennisetum glaucum (L.) R. Br. Emend Stuntz] in Western Region of India
Authors: Kantwa Suman , Yadav L. R. , Shivran A. C. , Gupta Sunita , Kantwa S. R. , Jajoria D. K. , Kantwa Priyanka , Kantwa Vinod
Published: November 2024

Aim: To assessed the effect of nutrient management and mulching on growth parameters, yield attributes and yield of pearl millet. Place and Duration of Study: A field experiment was conducted during two consecutive year 2021 and 2022 at Agronomy farm, S.K.N. College of Agriculture, Jobner (Rajasthan).
Study Design and Methodology: The 16 treatment combinations consist different nutrients and mulching sources with replicated four times and laid out in split plot design. Various plant growth parameters, yield attributes and yield were recorded with standard procedures.
Results: Results showed that Mustard straw mulch @ 2.5 t/ha gave significantly higher growth parameters (plant height, dry matter accumulation, number of tillers per plant, number of leaves per plant and chlorophyll content), yield attributes (number of effective tillers per metre row length, ear head length, ear head diameter, weight of grains per ear and number of grains per ear) leading to increased grain yield (1930 kg/ha), stover yield (3748 kg/ha) and biological yield (5678 kg/ha) over control on pooled data basis. Results showed that Liquid Azospirillium gave significantly higher growth parameters (plant height, dry matter accumulation, number of tillers per plant, number of leaves per plant and chlorophyll content), yield attributes (number of effective tillers per metre row length, ear head length, ear head diameter, weight of grains per ear and number of grains per ear) leading to increased grain yield (1954 kg/ha), stover yield (3742 kg/ha) and biological yield (5697 kg/ha) over control on pooled data basis. Results further indicated that among nitrogen management practices 50% RDN through urea + 0.2% foliar spray of nano urea at 30 DAS proved significantly superior for growth parameters (plant height, dry matter accumulation, number of tillers per plant, number of leaves per plant and chlorophyll content), yield attributes (number of effective tillers per metre row length, ear head length, ear head diameter, weight of grains per ear, number of grains per ear and test weight) and grain yield (1919 kg/ha), stover yield (3742 kg/ha), biological yield (5661 kg/ha) over control and remained at par with treatment RDN through urea and 0.2% foliar spray of nano urea on mean pooled data basis. Among all the treatments, 50% RDN through urea + 0.2% foliar spray of nano urea at 30 DAS, Mustard straw mulch @ 2.5 t/ha and Liquid Azospirillium are fond best with respect to growth parameters, yield attributes and yield.
Genetic Variability Studies in a Biparental RIL Population for Blast Disease in Pearl Millet
Authors: Mohammed Reshmi Jahan , Srivastava Rakesh K. , N Anuradha. , T.S.S.K Patro. , V Srinivas Rao. , Mahendrakar Mahesh D.
Published: November 2024

Aim: This study aimed to estimate genetic parameters within a pearl millet population comprising 288 recombinant inbred lines (RILs) of the F7 generation along with two parental lines. The investigation focused on exploring the relationships among 13 quantitative traits and Blast disease score across two environments (ENV-I, ENV-II) as well as in pooled environments.
Study Design: Alpha Lattice Design.
Place and Duration of Study: Patancheru, Telangana and Vizianagaram, Andhra Pradesh during Kharif, 2023.
Methodology:  The RILs used for this current study developed through the single seed descent method at ICRISAT, Patancheru. The genotypes were assessed at ICRISAT, Patancheru, Hyderabad (ENV-I), and Agricultural Research Station, Vizianagaram, Andhra Pradesh (ENV-II). Combined Analysis of Variance, Heritability, Phenotypic Coefficient of Variation (PCV), Genotypic Coefficient of Variation (GCV), Genetic Advance as percent of Mean (GAM), and Correlation studies were performed in R 4.4.0.
Results: The analysis identified significant variation in both the quantitative traits and Blast disease scores among the RILs, highlighting the potential for genetic improvement and selection. High heritability coupled with substantial genetic advance was observed for traits such as Plant Height, Number of Tillers, Panicle Length, Thousand Seed Weight, Seed Yield, Harvest Index, and Blast Score across ENV-I, ENV-II and Pooled environments. PCV and GCV were notably high for the Number of Tillers, Number of Productive Tillers, Thousand Seed Weight, Seed Yield, and Blast Score across ENV-I, ENV-II, and Pooled Environments. Seed Yield showed positive and significant correlations with the Number of Productive Tillers, Harvest Index, Plant Height, and Number of Tillers in all environments. Conversely, Blast Score exhibited negative associations with all studied traits across the environments.
Conclusion: High heritability coupled with high GAM, along with medium to high PCV and GCV for traits such as plant height, panicle length, seed yield, harvest index, and thousand seed weight, indicates that these traits are predominantly genetically controlled and can be improved significantly through selection, making them valuable for breeding.  Blast disease was negatively correlated with seed yield, thousand seed weight, days to maturity, harvest index, number of leaves, number of productive tillers, plant height, and number of tillers, suggesting that increased susceptibility to blast disease negatively affects key agronomic traits. This implies that genotypes with higher blast disease scores tend to exhibit lower productivity, delayed maturity, and reduced overall plant vigor, making resistance to blast disease a critical factor for achieving optimal crop performance and yield stability.
Nameeta: A Newly Developed Hibiscus rosa-sinensis L. Cultivar from AJC Bose Indian Botanic Garden, West Bengal, India
Authors: Chakraborty Deep , Swamy Jetti , Singh Devendra
Published: November 2024

The present communication deals about the newly developed Hibiscus cultivar ‘Nameeta’ by crossing the female parent ‘Mothers touch Singur, and male parent ‘Durga’ and having the distinguished characters like upright, fast growing shrubs with gorgeous single, regular, ruffled and tufted type of flowers made up with velvety brown ring with vibrant reddish eye zone. The same has been described here in detail along with its breeding process and also photomicrographs are given to facilitate its easy identification. This newly developed cultivar will also help the local farmers to enhance their economy.
Harnessing Natural Arsenal for Effective Management of Jassid on Brinjal [Solenum melongena L.]
Authors: Thakar P. K. , Patel P. S. , Jaiman R. S. , Deb Sushma
Published: November 2024

In brinjal ecosystem, jassid cause enormous damage to brinjal. Hence, investigation on Harnessing natural arsenal for effective management of jassid on brinjal was carried out during 2022-23 and 2023-24 at S. D. Agriculture University, Sardarkrushinagar, Gujarat, India. The most effective treatment was Azadirachtin 1500 ppm (0.0006%), reducing jassid population to 1.44 jassids/leaf, followed by Lecanicillium lecanii 1.15 WP (1×108 cfu/g) at 0.0046 per cent, which recorded 1.82 jassids/leaf. Other treatments, such as NSKE at 5 per cent (2.14 jassids/leaf) and NSKE + Cow urine (2.36 jassids/leaf), also showed good results. Dashparni ark (2.55 jassids/leaf) and Neemastra (2.85 jassids/leaf) were moderately effective, while Brahmastra and Panchparni ark were less effective, both recording 3.20 jassids/leaf. The study highlights the potential of Azadirachtin and Lecanicillium lecanii as sustainable, effective treatments for jassid management in brinjal.
Influence of Granular Biostimulants on Growth and Yield Characteristics of Rice (Oryza Sativa) in New Alluvial Zone of West Bengal, India
Authors: Karak S. , Thapa U. , Maity K. , Sharma K. , Sarkar D. , Chaya R. S.
Published: November 2024

Rice (Oryza sativa), the primary food source for over half of the global population, is critical to food security but faces productivity challenges from suboptimal fertilizer use and associated environmental degradation in India. Addressing these issues necessitates innovative strategies that enhance crop performance while maintaining ecological balance. Biostimulants, known for their role in enhancing nutrient efficiency and crop resilience, offer a promising solution for optimizing fertilizer use and improving soil health. This study evaluates the efficacy of AGMA Bio Stimulant Granules on the growth, yield, and soil health of rice during the kharif season of 2023 at Bidhan Chandra Krishi Vishwavidyalaya, Kalyani, West Bengal. A randomized block design with eight treatments and three replications was employed, including combinations of AGMA granules with 100% and 80% recommended NPK doses. Results demonstrated significant improvements in growth parameters, yield attributes, and soil nutrient availability with AGMA application. Treatments T2 and T5, integrating AGMA granules with 100% and 80% NPK, respectively, achieved the highest grain yields, with T5 showing a 19% yield increase over the control. Soil health indicators, including organic carbon and available nitrogen, phosphorus, and potassium, improved significantly, while electrical conductivity decreased. The study concludes that AGMA Bio Stimulant Granules enable a 20% reduction in NPK fertilizer use without compromising yields, underscoring their potential to support sustainable and environmentally friendly agricultural practices.
Investigating the Possibilities of Applying the TENS as a Neurostimulation Method
Authors: Gafarov Gadir
Published: November 2024

Transcranial electrical stimulation (TES) is a non-invasive technology used to change the functions of the nervous system as one of the methods of neuromodulation. This method modulates brain activity by applying low-intensity electrical current to different regions of the brain. The use of transcranial electrical stimulation has shown promising results in the treatment of depression, chronic pain, neurodegenerative diseases and other neurological problems. Research shows that the application of transcranial electrical stimulation can be effective in areas such as improving memory, developing motor skills and increasing cognitive functions. However, safety, efficacy, and individual differences should be considered when using this method in clinical practice. The article examines the clinical and scientific basis, applications, and potential benefits of transcranial electrical stimulation.  It is very important to study the parameters such as the shape, amplitude and frequency of the influencing signal used for the optimal solution of the treatment process. In the article, the types of the effective signal in transcranial electrical stimulation were investigated. The role of different forms of affective signals on the effectiveness of neurostimulation was investigated. In addition, it was concluded that electroacupuncture stimulation belongs to neurostimulation in terms of its essence and parameters.
The Effect of Ethical Leadership Behaviours on Teachers` Motivation in Primary Schools in Karagwe District, Tanzania
Authors: Bamugimba Gaudin , Ngirwa Coletha , Nyandara Zamzam
Published: November 2024

This study was grounded on social exchange theory to determine the effect of ethical leadership behaviours on teachers` motivation in primary schools in Karagwe District Council. It was also guided by one research hypothesis which were tested using structural equation modeling (SEM) techniques. It employed constructivism as research paradigm, quantitative research approach, and explanatory design with 95 respondents. Data were collected through questionnaires. The results revealed that ethical leadership behaviors positively affect teachers` motivation. It was also learned that leaders exhibited ethical behaviors based on honesty, justice, integrity and transparency in performing their managerial roles. Leaders’ practices (e.g. care, value, and fairness) indicated the degree to which teachers are motivated. The results call for managerial attention especially ensuring that teachers are well motivated through ethical leadership and human resource management practices
Sanat Eğitiminde Akıllı Telefonlarla Glitch Sanat Yaklaşımıyla Görselin Yeniden Üretimi: Bir Uygulama Örneği
Authors: Güneş Aytaç Nurhayat , Aras Rozelin
Published: November 2024

Bu araştırmada, yüksek lisans öğrencilerinin sanat eğitiminde akıllı telefonlarla glitch sanat yaklaşımıyla görselin yeniden üretimini ve etkinlik sürecinde elde ettikleri öğrenme deneyimlerini sorgulamak amaçlanmıştır. Araştırmanın yöntemi durum çalışmasıdır. Araştırmada, durum çalışması desenlerinden bütüncül tek durum deseni kullanılmıştır. Araştırmanın çalışma grubunu, 2022-2023 eğitim-öğretim yılı Bahar döneminde Dicle Üniversitesi Eğitim Bilimleri Enstitüsü Güzel Sanatlar Eğitimi Anabilim Dalı Resim İş Eğitimi Bilim Dalında Tezli Yüksek Lisans Öğrencisi olan toplam 1 kişi oluşturmuştur. Çalışma grubunun belirlenmesinde amaçlı örneklem yöntemi benimsenmiştir. Araştırmanın veri toplama yöntemini katılımcı YL Öğrencisi’nin tasarımına ve etkinlik sürecindeki deneyimlerine yönelik görüşleri ve tasarımını içeren görsel dokumanlar oluşturmuştur. Araştırma verilerinin analizinde içerik analizi kullanılmıştır. Araştırmanın sonuçları; akıllı telefonlar için hazır olarak sunulan glitch sanat uygulamaları ile bilgisayarla yapılan glitch sanat çalışmaları gibi farklı ve özgün çalışmalar yapılabileceği, akıllı telefonlardaki glitch sanat uygulamalarının sunduğu birçok efektin hazır olmasına karşın farklı görsellerde farklı etkiler oluşturduğu, aynı görselde üst üste farklı efektler kullanılarak sayısız varyasyonlar yapılabileceği, akıllı telefonlarla glitch sanat çalışmaları yapmanın pratik olduğu, bu sebeple araştırmacının bunun görsel sanatlar dersinde kullanılabileceğini keşfettiği, bu ve benzeri etkinliklerin öğrencilerin ilgilerini çekebileceği, onlar için iletişim ve sosyalleşme ortamı oluşturabileceğini ortaya koymuştur.
Determinants Of Principals’ Management Strategies On Provision Of Information Communication Technology Infrastructure In Public Day Secondary Schools In Kamukunji Sub County, Kenya
Authors: Kuja Tom Ochieng , Matilong Supurr Daniel , Kaleke Racheal Taiyio , Matulel Emmanuel Saidimu , Sopia Simon Odupoi
Published: November 2024

The study sought to determine the influence of principals’ management strategies on provision of Information
Communication Technology infrastructure in public day secondary schools in Kamukunji Sub County, Kenya.
The specific objectives of the study were: To determine the influence of principals’ management strategies of
mobilization of financial resources and to examine the influence of principals’management strategies on
capacity building of staff on provision of ICT infrastructure in public day secondary schools in Kamukunji Sub
County, Kenya. The study was guided by the ICT Theory whose proponents are Davis, Bagozzi & Warshaw of
1989. This is due to increase in the extent of use of ICT in schools for classroom instruction and for
schooladministration and management. The study used the descriptive survey research design which helped the
researcher to collect and compare data from the phenomenonat the same time in the study. The study used
census sampling technique to cover the entire study population. The research instruments used were document
analysis, questionnaires as well as observation checklists. The target population was all the four public day
secondary schools. The total respondents of the study were 40,consisting of one SCDE, one QASO, 4 principals,
5 deputy principals, 6 ICT teachers and 23 HODs. Piloting was randomly conducted in one-day school and all
the deviations and ambiguities from the expected research responses realized, was eliminated and corrected by
consulting the research supervisors. SPSS version 29.0 was used in testing the reliability of the measurement
items and Cronbach’s Alpha reliability coefficient of 0.942 across a number of 36 items was obtained. This was
an excellent test of reliability since the value obtained was above 0.80, meaning that the scale used was fine and
satisfactory according to Mugenda (2003). Quantitative data obtained from the study, was analyzed using SPSS
and the measuresof central tendency like the mean was obtained. Similarly, calculation of standard deviation
was done to determine the measure of variability of the obtained data. The results of the study revealed that
principals had provided ICT infrastructure in their schools but they were not adequate. The capacity building of
staff was not adequate as some teachers lacked essential ICT skills. The study concluded that most of the
principals have not practiced better management practices for provision of ICT infrastructure. The study made several recommendations and among them was that, the MOE should design policies that support provision of ICT in all secondary schools.
Effect Of Artificial Intelligence (AI) On Fraud Detection In Deposits Money Banks In South East, Nigeria
Authors: Chima Anzor, Edith , Ibekwe Okolie, Jonathan , Ebere Udeh, Ifeyinwa , Ijeoma Anukwe, Grace , Obinna Eze, Jude
Published: November 2024

This study examines the impact of artificial intelligence (AI), specifically computer vision and robotic process
automation (RPA), on fraud detection in Deposit Money Banks in Southeast Nigeria. AI technologies offer
innovative solutions to combat rising fraud threats by enabling real-time monitoring, anomaly detection, and
process automation. The study’s objectives include assessing the effectiveness of computer vision in detecting
insider fraud and evaluating the role of RPA in monitoring card fraud activities. Using a descriptive survey
design, data was collected from employees within various banking institutions in Southeast Nigeria via
questionnaire to assess the effectiveness, challenges, and potential improvements AI technologies bring to fraud
detection practices. A total population of 1101 staff were selected from the studied organizations. Sample size of
two hundred and eighty four (284) was determined using Freund and William's statistic formula at 5 percent
margin of error. Data was presented and analyzed using Likert Scale and the hypotheses using Z - test. The
findings indicate that Computer Vision had significant positive effect on insider fraud detection, Z = 6.561<
8.639, P. <, 05. Robotics had significant positive effect on card fraud monitoring in money deposit bank in
Southeast, Nigeria, Z = 7.649 < 9.987, P. <,05. The study underscores the importance of a comprehensive AIintegrated fraud detection system and recommends further exploration into cost-effective implementations tailored to the context of smaller banking institutions. Addressing these challenges can foster an improved security landscape in Nigeria’s banking sector, enhancing trust and operational resilience
Data Visualisation To Understand How Data Is Structured Using K-Means And Hierarchical Cluster Analyses With Interactive Graphics
Authors: Roy Amitabha
Published: November 2024

This study examines the structure of geothermal geochemisty data in India using k-means and hierarchical
cluster analyses. The first attempt to list hot springs in India was made by Schlagintweit in 1852. The
Geological Survey of India published a special publication titled 'Geothermal Atlas of India', and the
government of India constituted a 'Hot Spring Committee' to examine the possibility of developing geothermal
plants for power generation and other uses. In the Puga valley and Parvati projects, it is estimated that it is
possible to harness 5000 MWh of geothermal energy from Puga valley, sufficient to sustain a 20 MWe power
plant.
The GSI, the repository of most information concerning geological and related data in the country, included an
R&D item No. 7/WB-5 for the development of a computerised system of geothermal database system referred to
as GTHERMIS in its field season 1993-94 program. The computational strategy involves assigning each data
point to the cluster with the nearest center (or "centroid"), recalculating the centroids after each assignment,
and repeating the procedure until the clusters are no longer statistically different.
The k-means method, developed by MacQueen (1967), is one of the most widely used non-hierarchical methods, particularly suitable for large amounts of data. The data is scaled before cluster analysis, and the results are visualized using interactive graphics.
Translation Of TCM Terms From The Perspective Of Translation Memetics
Authors: Lijuan Han
Published: November 2024

As a medium of language exchange and cultural exchange, translation must pay attention to the translation
quality of TCM terms in order to go to the world. From the perspective of translation memetics, this paper first
analyzes the difficulties of TCM terminology translation, and on this basis, puts forward the measures and
principles to improve the effect of TCM terminology translation. The purpose is to provide reference for the external translation and communication of TCM terms and improve the communication effect of TCM culture.
Universidades Como Ecossistemas De Inovação: O Papel Dos Núcleos De Inovação Tecnológica Na Promoção De Startups Acadêmicas
Authors: Alves Jéssika Figueredo , Araújo Andrea Campos Guerra De , Rêgo Andreia Oliveira , Juníor Tobias Saraiva Cavalcante , Silva Edson Nogueira Da
Published: November 2024

Background:As universidades têm se consolidado como elementos centrais nos ecossistemas de inovação,
desempenhando um papel estratégico na promoção de novas tecnologias, pesquisa aplicada e criação de
startups acadêmicas. Os Núcleos de Inovação Tecnológica (NITs) são componentes fundamentais nesse
processo, atuando como facilitadores e catalisadores da transferência de conhecimento entre a academia, o
mercado e a sociedade. Este estudo analisa como os NITs promovem a criação de startups acadêmicas e
potencializam a transformação de ideias em soluções viáveis.
Materials and Methods: Este estudo adota uma abordagem qualitativa e exploratória baseada em revisão
bibliográfica e análise de dados bibliométricos. Foi realizado um levantamento em bases de dados
reconhecidas, como a Web of Science, utilizando palavras-chave relacionadas a "ecossistemas de inovação" e
"universidades". Após triagem, 5 artigos foram selecionados para análise detalhada, enfocando a atuação dos
NITs e as parcerias universidade-indústria.
Results: Os resultados evidenciam que os NITs desempenham um papel estratégico na promoção de
ecossistemas de inovação, com ênfase na transferência de tecnologia, proteção da propriedade intelectual e
criação de startups. Os indicadores de desempenho incluem o número de patentes e inovações geradas. Redes
colaborativas e hubs digitais são componentes essenciais para potencializar o impacto das universidades como
hubs de inovação.
Conclusion: Os NITs são fundamentais para a conexão entre a academia e o mercado, promovendo inovações
significativas. Entretanto, desafios como burocracia e resistência cultural devem ser superados para que seu impacto seja maximizado, demonstrando que um ecossistema de inovação bem estruturado pode gerar benefícios econômicos e sociais
A Importância Da Educação Física Na Educação
Authors: Cabral Gladys Nogueira , Cabral Shanda Lindsay Espinoza , Thomaz Paulo Roberto Valdo , Thomaz Matheus Valdo , Vilhena William Leitão
Published: November 2024

O objetivo deste texto foi analisar como a Educação Física contribui para a formação integral dos alunos,
promovendo não só a atividade física, mas também o desenvolvimento social e emocional. A metodologia utilizada
baseou-se em uma pesquisa bibliográfica que revisou diversas fontes sobre os efeitos da atividade física na saúde
dos jovens. Os resultados indicam que a prática regular de exercício físico é essencial para garantir não só uma
saúde física robusta, mas também um estado mental saudável e resiliente. O exercício físico promove a libertação
de endorfinas, reduzindo os sintomas de ansiedade e depressão, além de reforçar a autoestima e a autoconfiança
dos alunos. As competências sociais e emocionais adquiridas nas actividades de grupo contribuem para
desenvolver a capacidade de trabalhar em equipa e enfrentar desafios. A Educação Física surge, assim, como
um pilar central no desenvolvimento integral da infância e da adolescência, preparando os jovens para uma vida
equilibrada e ativa. A valorização desta disciplina nas escolas é fundamental, pois tem um impacto positivo na saúde física, mental e social dos alunos, formando indivíduos completos e mais preparados para a vida em sociedade
Magnetic Coupling Centrifugal Pump
Authors: Murad Mr. Jassem
Published: November 2024

The research describe the need of such pump to perform zero leakage which is demand for application where fluid
is ither aggressive, toxic, and flammable. We will study practically the pump characteristic curves that relate function between flow rate , delivered pressure ,consumed energy . The practical study will run on G.O.N.T Water system
Cumulative Incidence of Orofacial Manifestations in Early Juvenile Idiopathic Arthritis: A Regional, Three‐Year Cohort Study
Authors: Stoustrup Peter , Glerup Mia , Bilgrau Anders E. , Küseler Annelise , Verna Carlalberta , Christensen Anne E. , Kristensen Kasper D. , Nørholt Sven Erik , Twilt Marinka , Herlin Troels , Pedersen Thomas K.
Published: April 2019

Objective

To estimate the cumulative incidence of arthritis‐induced orofacial symptoms, dysfunction, and dentofacial deformities in growing individuals with juvenile idiopathic arthritis (JIA) in a 36‐month regional cohort study and to identify predictors for the development of arthritis‐induced dentofacial deformities.

Methods

Data were retrieved from the Aarhus JIA temporomandibular joint (TMJ) cohort register, which contains standardized, longitudinal, observational data regarding orofacial conditions in patients with JIA (n = 1,040). This regional cohort represents the majority of all subjects with JIA from the western part of Denmark between 1990 and 2016, regardless of TMJ arthritis status. Cumulative incidences of orofacial conditions were reported using Kaplan‐Meier methods, and predictors for dentofacial deformity were identified using Cox proportional hazards analysis.

Results

Follow‐up data from 351 subjects for 36 months were included in this study. Median age at first clinical examination was 6.6 years (interquartile range 4.8–9.9 years). Orofacial symptoms and dysfunctions were common findings at 36 months after the first clinical examination and 5 years after JIA onset, with a cumulative incidence of 38% and 53%, respectively. Dentofacial deformities were found in 35% of subjects at the 36‐month follow‐up and were significantly associated with the presence of orofacial dysfunction.

Conclusion

Orofacial conditions were frequently observed in individuals with JIA and were represented in all JIA subcategories in this regional study. One‐third of subjects had arthritis‐induced dentofacial deformities that required orthopedic appliance treatment at the 36‐month follow‐up.
Interferon Chemokine Score and Other Cytokine Measures Track With Changes in Disease Activity in Patients With Juvenile and Adult Dermatomyositis
Authors: Crowson Cynthia S. , Hein Molly S. , Pendegraft Richard S. , Strausbauch Michael A. , Niewold Timothy B. , Ernste Floranne C. , Dvergsten Jeffrey , Amin Shreyasee , Wampler Muskardin Theresa L. , Peterson Erik , Baechler Emily C. , Reed Ann M.
Published: April 2019

Objective

Our aim was to identify cytokines and chemokines in patients with adult dermatomyositis (DM) and juvenile dermatomyositis (JDM) that predict changes in disease activity.

Methods

Multiplexed immunoassays (Meso Scale Discovery) enabled simultaneous measurement of interferon (IFN)‐regulated chemokines and other pro‐ and anti‐inflammatory cytokines specific to differentiation of specific T‐cell and innate pathways. Cytokine scores were computed for IFNCK (IP‐10, MCP‐1), Th1 (IFNɣ, TNFα, and IL2), Th2 (IL4, IL10, IL12, and IL 13), Th17 (IL6, IL17, IL1β), macrophage (MIP‐1α, MIP‐1β, IL8), and regulatory (IL10, TNFα) factors. Spearman correlation and mixed models were used to examine whether cytokines at a previous visit predict change in disease activity at the next visit.

Results

The study included 36 patients (16 DM and 20 JDM) with at least two visits (87 patient intervals between two visits). Mean age (SD) at inclusion was 56.9 (18.4) years for DM and 10.8 (6.6) years in JDM, 67% of patients were female, 89% Caucasian. The mean (SD) physician global, muscle and extra‐muscular disease activity Visual Analog Scale scores at inclusion were 41 (26), 36 (30), and 34 (21) mm, respectively. The change in IFN score from one visit to the next was associated with the change in physician global (P = 0.010) and extramuscular (P < 0.001) disease activity scores. Preliminary results revealed significant correlations of previous IFNCK score and IL‐6 with subsequent disease activity measures, but after adjustment for multiple visits per patient, these associations did not reach statistical significance.

Conclusion

There is a potential relationship between IFNCK and other cytokine scores seen in adult and juvenile DM with future disease states.
Adaptive neural network command filtered backstepping control of pure‐feedback systems in presence of full state constraints
Authors: Ji Yuehui , Zhou Hailiang , Zong Qun
Published: April 2019

An adaptive neural network (NN) command filtered backstepping control is proposed for the pure‐feedback system subjected to time‐varying output/stated constraints. By introducing a one‐to‐one nonlinear mapping, the obstacle caused by full stated constraints is conquered. The adaptive control law is constructed by command filtered backstepping technology and radial basis function NNs, where only one learning parameter needs to be updated online. The stability analysis via nonlinear small‐gain theorem shows that all the signals in closed‐loop system are semiglobal uniformly ultimately bounded. The simulation examples demonstrate the effectiveness of the proposed control scheme.
Robust adaptive H∞ control design for heart rate regulation during rhythmic exercises of unknown type
Authors: Baig Dur‐e‐Zehra , Ahmad Rashid , Savkin Andrey , Celler Branko
Published: April 2019

The aim of the study is to regulate the human heart rate (HR) response to a predefined reference profile during aerobic activities of unknown type. A novel feature of the designed control system is obtained to generate the desired rhythmic movements, which is required to achieve the target HR profile during aerobic activities of unknown type. These rhythmic movements or frequency of locomotion is known as the exercise rate (ER) and is quantified as a fundamental measure of exercise intensity. The relationship between ER and HR is modeled by using a linear time‐varying system. The parameters of the model are estimated using a Kalman filter. Based on this model, a robust adaptive H∞ controller is designed. The H∞ controller generates target ER (ERT) corresponding to target HR (HRT). This ERT is communicated to the exercising subject by using a human actuating system (HAS). The role of HAS is to achieve ERT. To validate the performance of the system, it is tested on six healthy subjects during rowing and cycling exercises. The results demonstrate that the designed control system can regulate HR at a given profile with an average root mean square error of 3.1857 bpm and 2.9396 bpm for rowing and cycling, respectively. The developed system can be used for designing an optimal exercising protocol for individuals.
Refined Lamellar Eutectic in Biomedical Zn–Al–Zr Alloys for Mechanical Reinforcement
Authors: Shuai Cijun , Xue Lianfeng , Gao Chengde , Wang Guoyong , Peng Shuping , Min Anjie
Published: April 2019

Zn is recognized as a bone implant metallic material owing to its natural biodegradability and good biocompatibility. In this study, refined lamellar eutectic is constructed in Zn alloys by alloying with Al and Zr via selective laser melting, aiming to improve its mechanical strength. The results demonstrate that lamellar eutectic forms along the grain boundaries due to the alternating solidification of Zn‐ and Al‐enriched phases. The lamellar eutectic not only refine Zn grains but also provide numerous phase interfaces for dislocation pile‐up. More importantly, Al2ZnZr phase is also found in the alloys and acts as heterogeneous nucleation sites for Al‐enriched phase, which is beneficial for the formation of lamellar eutectic. With Zr content increasing to 0.2 wt%, the amount of Al2ZnZr phase increases, leading to more lamellar eutectic formation. This reduces the lamellar spacing to 0.34 ± 0.03 µm, providing more phase interfaces for slip interference. As a result, as compared with Zn, the Zn–7Al–0.2Zr alloy presents 179 ± 12% improvement in mechanical strength, which is comparable to the strength criteria for bone implants. In addition, the degradation rate increases from 0.08 ± 0.03 mm year−1 to 0.15 ± 0.03 mm year−1 due to the enhanced galvanic corrosion between Zn‐ and Al‐enriched phases. Cytocompatibility evaluation also indicates that the Zn–7Al–Zr alloys present good biocompatibility to MG‐63 cells.
Overcoming the Challenge of Producing Large and Flat Nanocellular Polymers: A Study with PMMA
Authors: Martín‐de León Judith , Bernardo Victoria , Cimavilla‐Román Paula , Pérez‐Tamarit Saúl , Rodríguez‐Pérez Miguel Ángel
Published: April 2019

Although nanocellular polymers are interesting materials with improved properties in comparison with conventional or microcellular polymers, the production of large and flat parts of those materials is still challenging. Herein, gas dissolution foaming process is used to produce large and flat nanocellular polymethylmethacrylate samples. In order to do that, the foaming step is performed in a hot press. The methodology is optimized to produce flat samples with dimensions of 100 × 100 × 6 mm3, relative densities in the range 0.25–0.55 and cell sizes around 250 nm. Additionally, foaming parameters are modified to study their influence on the final cellular structure, and the materials produced in this paper are compared with samples produced by using a most conventional approach in which foaming step is conducted in a thermal bath. Results obtained show that an increment in the foaming temperature leads to a reduction in relative density and an increase of cell nucleation density. Moreover, differences in the final cellular structure for materials produced by both foaming routes are studied, proving that although there exist some differences, the mechanisms governing the nucleation and growing are the same in both processes, leading to the production of homogeneous materials with very similar cellular structures.
Associative Memory for Image Recovery with a High‐Performance Memristor Array
Authors: Zhou Ying , Wu Huaqiang , Gao Bin , Wu Wei , Xi Yue , Yao Peng , Zhang Shuanglin , Zhang Qingtian , Qian He
Published: April 2019

Associative memory is one of the significant characteristics of the biological brain. However, it has yet to be realized in a large memristor array due to the high requirements on the memristor device. In this work, the multilevel memristor cell is optimized by employing an electro‐thermal modulation layer. Memristor devices show both high resistance, cell‐to‐cell uniformity, and multilevel resistive switching behaviors with good reliability. A Hopfield neural network is experimentally demonstrated on a 1k memristor array that is capable of realizing the associative memory function for emotion image recovery. By using both asynchronous and synchronous refresh schemes, complete emotion images can be recalled from partial information.
A Shape Memory High‐Voltage Supercapacitor with Asymmetric Organic Electrolytes for Driving an Integrated NO2 Gas Sensor
Authors: Song Changhoon , Yun Junyeong , Lee Hanchan , Park Heun , Jeong Yu Ra , Lee Geumbee , Kim Min Su , Ha Jeong Sook
Published: April 2019

A high‐voltage supercapacitor with shape memory for driving an integrated NO2 gas sensor is fabricated using a Norland Optical Adhesive 63 polymer substrate, which can recover the original shape after deformation by short‐time heating. The supercapacitor consists of multiwalled carbon nanotube electrodes and organic electrolyte. By using organic electrolyte consisting of adiponitrile, acetonitrile, and dimethyl carbonate in an optimized volume ratio of 1:1:1, a high operation voltage of 2 V is obtained. Furthermore, asymmetric electrolytes with different redox additives of hydroquinone and 1,4‐dihydroxyanthraquinone to the anode and cathode, respectively, enhance both capacitance and energy density by ≈40 times compared to those of supercapacitor without redox additives. The fabricated supercapacitor on the Norland Optical Adhesive 63 polymer substrate retains 95.8% of its initial capacitance after 1000 repetitive bending cycles at a bending radius of 3.8 mm. Furthermore, the folded supercapacitor recovers its shape upon heating at 70 °C for 20 s. In addition, 90% of the initial capacitance is retained even after the 20th shape recovery from folding. The fabricated supercapacitor is used to drive integrated NO2 gas sensor on the same Norland Optical Adhesive 63 substrate attached onto skin to detect NO2 gas, regardless of deformation due to elbow movement.
A New Architecture for Fibrous Organic Transistors Based on a Double‐Stranded Assembly of Electrode Microfibers for Electronic Textile Applications
Authors: Kim Soo Jin , Kim Hyoungjun , Ahn Jongtae , Hwang Do Kyung , Ju Hyunsu , Park Min‐Chul , Yang Hoichang , Kim Se Hyun , Jang Ho Won , Lim Jung Ah
Published: April 2019

Herein, a unique device architecture is proposed for fibrous organic transistors based on a double‐stranded assembly of electrode microfibers for electronic textile applications. A key feature of this work is that the semiconductor channel of the fiber transistor comprises a twist assembly of the source and drain electrode microfibers that are coated by an organic semiconductor. This architecture not only allows the channel dimension of the device to be readily controlled by varying the thickness of the semiconductor layer and the twisted length of the two electrode microfibers, but also passivates the device without affecting interconnections with other electrical components. It is found that the control of crystalline nanostructure of the semiconductor layer is critical for improving both the production yield of the device and the charge‐carrier transport in the device. The resulting fibrous organic transistors show a high output current of over −5 mA at a low operation voltage of −1.3 V and a good on/off current ratio of 105. The device performance is maintained after repeated bending deformation and washing with a strong detergent solution. Application of the fibrous organic transistors to switch current‐driven LED devices and detection of electrocardiography signals from a human body are demonstrated.
Ultrasmall Oxygen‐Deficient Bimetallic Oxide MnWOX Nanoparticles for Depletion of Endogenous GSH and Enhanced Sonodynamic Cancer Therapy
Authors: Gong Fei , Cheng Liang , Yang Nailin , Betzer Oshra , Feng Liangzhu , Zhou Qiang , Li Yonggang , Chen Ruihua , Popovtzer Rachela , Liu Zhuang
Published: April 2019

Sonodynamic therapy (SDT) triggered by ultrasound (US) has attracted increasing attention owing to its abilities to overcome critical limitations including low tissue‐penetration depth and phototoxicity in photodynamic therapy. Herein, the design of a new type of sonosensitizer is revealed, namely, ultrasmall oxygen‐deficient bimetallic oxide MnWOX nanoparticles, for multimodal imaging‐guided enhanced SDT against cancer. As‐made MnWOX nanoparticles with poly(ethylene glycol) (PEG) modification show high physiological stability and biocompatibility. Interestingly, such MnWOX‐PEG nanoparticles exhibit highly efficient US‐triggered production of 1O2 and •OH, higher than that of previously reported sonosensitizers (e.g., protoporphyrin IX and titanium dioxide), because the oxygen‐deficient structure of MnWOX serves as an electron trap site to prevent electron–hole recombination. The glutathione depletion capability of MnWOX‐PEG can also further favor SDT‐triggered cancer cell killing. With efficient tumor homing as illustrated by computer tomography and magnetic resonance imaging, MnWOX‐PEG enables effective destruction of mouse tumors under US stimulation. After accomplishing its therapeutic functions, MnWOX‐PEG can be metabolized by the mouse body without any long‐term toxicity. Herein, a new type of sono‐sensitizing agent with high SDT efficacy, multimodal imaging functions, and rapid clearance is presented, an agent which is promising for noninvasive SDT cancer treatment.