bluuebunny/crossref_metadata_2025 huggingface dataset:
Local television and the construction of local identities: case studies on two local televisions in Pekanbaru, Indonesia
Authors: Putri Dhea Helyana , Rianto Puji , Felani Herman
Published: June 2023

This aim of the study is to describe the role of local televisions in constructing local identities. This study was conducted with qualitative approach, examining two programs in two local televisions in Pekanbaru, Riau, Indonesia, namely Belacan Program of Riau Television (RTV) and Online Channel Program of Riau Channel Television (RCTV). This research found that local televisions have important roles in constructing local identities and maintaining local cultures. RTV and RCTV have optimized various ways of constructing local cultures, which simultaneously draws closer relations to their audiences, such as focusing on the Malay culture as a dominant culture in Riau, exploring tourist attractions and new places sursounding the city, delivering the program with local language, presenting traditional clothes worn by the host, involving local comminities in the production and creative processes of the program, innovating the program with the interactive music segment, discussing folk songs, and inviting local speakers. These programs have shown the resistance to the dominance of ‘Jakarta’ and global culture. The use of local language acts as symbolic signs, namely representing the local identities.Keywords: local television; local identity; local culture; creative processes.
Best Practice for Marketing Heritage Site: Analysing the Medina National Museum in Saudi Arabia
Authors: Alyusuf Ali
Published: June 2023

Heritage tourism provides direct benefits for regional economies and enhances economic development within the local communities. This study investigates the best practices of Medina National Museum in the Kingdom of Saudi Arabia by analysing the values of the site, tourist motivations, stakeholder’s collaboration, and promotion management of the site. Applying the interpretive social science paradigm, this study is based on secondary data, which means that the researcher has gathered data from other scholars. This study finds religious and socio-cultural values of the site that could be taken into account as important values for a heritage site. This study also finds that religious, educational and authentic are the most important tourist motivations to the site. It has also identified the related stakeholders in Saudi Arabia and Madinah region and concludes that bureaucracy prevents effective partnerships between the related stakeholders, including private and public sectors. Finally, based on the results, the study offers some suggestions and recommendations to increase the number of visitors to the Medina National Museum, including applying appropriate marketing strategy focusing to the targeted Muslim tourists, whether domestic or international tourists.Keywords: Medina National Museum; heritage tourism; destination value; marketing strategy; tourist motivation.
Raw Denim as a Means of Communication: Self Expression and Identity
Authors: Rahmandani Fadhli , Sari Ratna Permata
Published: June 2023

Fashion plays an important role in the self-identity formation processes. In this sense, jeans are getting increasingly popular as it has become a trend in fashion. This study examines how raw denim becomes a form of self-expression for its wearer. Applying a qualitative approach, this study has gathered the empirical data through in-depth interviews and observations to an Indonesian denim community called as INDIGO. This study shows that raw denim users have several ways to express themselves as raw denim users. Denim has characteristics that allow for personalization according to one’s body shape, especially the creases and fades that mark the daily habits of the wearer. Denim becomes a representation of the wearers and a way to express their self identity. In order to show that they are a denimhead, one must consider every related actions they take in using raw denim, including joining in a denim community. Keywords: denim, fashion, self expression, identity, Indonesian denim community.
Building Walls Through Cultural Exchange: NHK’s Cool Japan and Home Sweet Tokyo
Authors: Lafontaine Andree
Published: June 2023

In this paper I look at two programs broadcasted on NHK—Japan’s public broadcaster—featuring foreigners living in Japan, Cool Japan and Home Sweet Tokyo, and the refracted ways in which Japanese identity is constructed through gazes that are self-Orientalizing and Occidentalizing. I place the two within three contexts: the Cool and Sugoi Japan campaigns, the foreign talent industry, and the increased concerns over foreigners in Japan. Using a functionalist approach, my analysis highlights the roles played by these two programs within Japanese society and for a Japanese audience, especially in its representation of foreign residents in light of cultural nationalism. While NHK produces some programs featuring non-Japanese hosts and guests, Cool Japan and Home Sweet Tokyo are of unique interest for their purported aim to represent and give voice to foreigners living in Japan.
Using machine learning algorithms, a survey on the prediction of heart disease was conducted.
Authors:   Department of Computer Science and Engineering RNS institute of Technology, Prakash Aditya , S Hemanth ,   Department of Computer Science and Engineering RNS institute of Technology
Published: June 2023

Cardiovascular disease is a very serious concern in recent times, not only in people of an older age group but also in youth. Consumption of Alcohol, smoking , high cholesterol , high blood pressure, and stress are all causes that leads to cardiovascular disease. Prediction of heart disease has always been a tough job for medical practitioners and heavy on the pockets of individuals. So detecting heart disease at an early stage will help people take the correct measures to prevent any further consequences . In the past couple of years, machine learning has helped many people save their lives by determining heart disease at an early stage with the help of many available health care data sets . Listed are some of the machine learning frameworks: C4.5 algorithm, artificial neural network (ANN) , Support Vector Machine (SVM) , decision tree (DT), Classification Multiple Association Rules (CMAR) , Bayesian Classifiers.
NATURAL LANGUAGE PROCESSING
Authors:   Assistant professor Department of CSE,RNSIT, V Ranjit , Naik Suchitra ,   Department-CSE ,RNSIT
Published: June 2023

A branch of computer science and AI called natural language processing is focused on how computers and human languages interact.In order for computers to interpret written and spoken human language without the use of computer-driven language, a type of AI known as natural language processing deals with analysing, understanding, and producing natural human languages. Natural language processing involves the exploration of diverse linguistic features through mathematical and computational modelling, and encompasses the development of various systems. These systems include Verbal language system that merge Verbal communication and Common language. Given that a significant portion of the field concerns the linguistic aspects of computation, natural language processing is considered a part of computer science. Its focus is on utilizing computers to understand and modify written or spoken language for beneficial applications
DEVLOPMENT OF ROBOTICS,MAZE SOLVING ROBOT AND APPLICATIONS
Authors:   2nd year student Department-CSE, RNSIT, S KABILESH , G SOUMYA N ,   Assistant proferssorDepartment-CSE, RNSIT
Published: June 2023

Robotics and artificial intelligence are two of the computer science topics that are expanding quickly. Robotics focuses on creating machines that can independently sense their surroundings and communicate with one another in the physical world, whereas artificial intelligence (AI) focuses on creating machines that reason similarly to humans.The primary focus of robotics is on designing systems that would affect human social life. The self-monitoring robots can follow instructions and execute complicated maze-solving algorithms on their CPU cores. This paper provides an overview of robots and their practical applications.
Traffic Shaping in IoT Networks using GNN and MAB with SDN Orchestration
Authors: Guo Yanmin , Wang Yu , Khan Faheem , Al-Atawi Abdullah , Abdulwahid Abdulwahid , Lee Youngmoon , Marapelli Bhaskar
Published: June 2023

Traffic shaping is a critical task in software-defined -IoT networks (SDN-IoTs) to efficiently manage network resources and ensure Quality of Service (QoS) for end-users. However, traditional traffic shaping approaches based on queuing theory or static policies may not be effective due to the dynamic and unpredictable nature of network traffic. In this paper, we propose a novel approach that leverages Graph Neural Networks (GNNs) and Multi-arm Bandit algorithms to dynamically optimize traffic shaping policies based on real-time network traffic patterns. Specifically, our approach uses a GNN model to learn and predict network traffic patterns and a Multi-arm Bandit algorithm to optimize traffic shaping policies based on these predictions. We evaluate the proposed approach on three different datasets, including a simulated corporate network (KDD Cup 1999), a collection of network traffic traces (CAIDA), and a simulated network environment with both normal and malicious traffic (NSL-KDD). The results demonstrate that our approach outperforms other state-of-the-art traffic shaping methods, achieving higher throughput, lower packet loss, and lower delay, while effectively detecting anomalous traffic patterns. The proposed approach offers a promising solution to traffic shaping in SDNs, enabling efficient resource management and QoS assurance
Progress of the Agricultural Sector Towards Climate Neutrality: Identification of Essential Stages
Authors: Bumbiere Ketija , Meikulāne Edīte , Gravelsins Armands , Pubule Jelena , Blumberga Dagnija
Published: June 2023

The agricultural sector's progress towards climate neutrality is of great importance not only in the climate but also in the economic and social context. The agricultural sector is the 3rd largest emission-generating sector both in Latvia and Europe, and it directly and/or indirectly affects all other sectors. Climate-neutral agriculture is highly dependent on innovations that ensure maximum efficient farming, which not only reduces emissions but also ensures competitiveness in the market, but all of this is fundamentally influenced by well considered policies. Although the goals of the Green Deal are united, each country's situation must be thoughtfully considered individually to evaluate the best action plan for integrating the EU's common agricultural policy without reducing harvest. In addition, due to the complicated structure of the sector, it tends to be very difficult or even impossible to determine the real obstacles and mistakes that delay the progress of sustainable farming. Therefore, this research aims to create a system dynamics model using Latvia as a case study, which would not only provide an insight into the system’s structure but also identify the system's weak links and allow for the development of recommendations. The results could help policymakers in any country to make rational, non-controversial decisions simultaneously in the context of economic and Green Deal objectives. The results of the study demonstrate that to increase economic competitiveness and reduce emissions in agriculture, the most important aspect is the ability to invest in innovations and new technologies that would achieve not only the lowest emissions, but also the highest productivity and competitiveness in the market. It was found that by investing in the level of manure management it is possible to reduce GHG emissions in dairy farming by 8%, while by improving feed quality, manure management and thermoregulation all together, resulted in 60% GHG emission reduction. In addition, in a comprehensive improvement of the new innovations, the case study company managed to increase milk yield by 69%.
Generalized Bayes Prediction Study Based on Jointly Type-II Censored Sample from K-Exponential Populations
Authors: Abdel-Aty Yahya , Kayid Mohamed , Alomani Ghadah A.
Published: June 2023

In this paper, the problem of predicting future failure times based on a jointly type-II censored sample from k exponential populations is considered. The Bayesian prediction intervals and point predictors were then obtained. Generalized Bayes is a Bayesian study based on a learning-rate parameter. This study investigated the effects of the learning rate parameters on the prediction results. The loss functions of squared error, Linex, and general entropy were used as point predictors. Monte Carlo simulations were performed to show the effectiveness of the learning rate parameter in improving the results of prediction intervals and point predictors.
Spiritual Journalism in India: A Critical Review
Authors: Dhiman Dr. Bharat
Published: June 2023

This research paper aims to critically review the state of spiritual journalism in India. Spiritual journalism is a niche form of journalism that focuses on exploring and reporting on spiritual and religious topics, practices, and perspectives. In India, a country with a rich spiritual heritage and diverse religious traditions, spiritual journalism plays a significant role in shaping public discourse and understanding of spirituality. This paper examines the strengths and weaknesses of spiritual journalism in India, exploring its impact on society, its challenges, and the ethical considerations associated with its practice. By providing a critical analysis of the current state of spiritual journalism in India, this paper aims to shed light on its role, relevance, and potential for improvement.
Structural Analysis and Lightweight Optimization of a Buoyant Rotor-Type Permanent Magnet Generator for a Direct-Drive Wind Turbine
Authors: Hwang Joon Ha , Bang Deok-Je , Jang Gang-Won
Published: June 2023

This study presents structural analysis and optimization for the lightweight design of a buoyant rotor-type permanent magnet (BRPM) generator, which was first presented in Bang (2010), and compares its structural performances to a conventional generator with a spoke arm-type rotor and stator. The main benefit of a BRPM is that it can be realized as a bearing-less drive system, free from the mechanical failure of rotor bearings, by using a buoyant rotor. Also, the deformation of a generator by blade vibration can be effectively suppressed using joint couplings between the blades and the rotor. For the design optimization, the objective is set as the mass of the rotor and the stator, and the maximum deformation of the airgap clearance between the rotor and the stator by external forces is constrained below 10% of the gap width. The commercial software Optistruct is used for the analysis and optimization. In this investigation, the analysis and optimization are conducted for a 10 MW wind turbine generator. However, the proposed methods can be extended to larger generator designs without requiring considerable modification. The mass of the opti-mized 10MW BRPM generator is 160.7 tons (19.3 tons for the rotor and 141.4 tons for the stator) while that of an optimized conventional spoke arm-type generator is obtained as 325.6 tons.
Assessment of Genetic Diversity and Phylogenetic Relationship of Local Coffee Populations in Southwestern Saudi Arabia using DNA Barcoding
Authors: Khemira Habib , Mahdhi Mosbah , Afzal Muhammad , Oteef Mohammed , Tounekti Taieb , Al-Faifi Zarraq , Alsolami Wail
Published: June 2023

The genetic diversity of local coffee populations is crucial to breed new varieties better adapted to the increasingly stressful environment due to climate change and the evolving consumer preferences. Unfortunately, local coffee germplasm conservation and genetic assessment have not received much attention. Molecular tools offer substantial benefits in identifying and selecting new cultivars or clones suitable for sustainable commercial utilization. New annotation methods, such as chloroplast barcoding, are necessary to produce accurate and high-quality phylogenetic analyses. This study used DNA barcoding techniques to examine the genetic relationships among fifty-six accessions collected from the southern part of Saudi Arabia. PCR amplification and sequence characterization were used to investigate the effectiveness of four barcoding loci, namely atpB-rbcl, TrnL-TrnF, TrnT-TrnL, and TrnL. The maximum nucleotide sites, nucleotide diversity, and an average number of nucleotide differences were recorded for atpB-rbcl, while TrnT-TrnL had the highest variable polymorphic sites, segregating sites, and haploid diversity. Among the four barcode loci, TrnT-TrnL recorded the highest singleton variable sites, while TrnL recorded the highest parsimony information sites. Furthermore, the phylogenetic analysis clustered the Coffea arabica genotypes into four different groups, with three genotypes (KSA31, KSA38, and KSA46) found to be the most divergent genotypes standing alone in the cluster and remained apart during the analysis. The study demonstrates the presence of considerable diversity among coffee populations in Saudi Arabia. Furthermore, it also shows that DNA barcoding is an effective technique for identifying local coffee genotypes, with potential applications in coffee conservation and breeding efforts.
Efficacy Study of a Dietary Supplement Containing Collagen‐L‐Arginine‐Hyaluronic Acid in Elderly Patients with Musculoskeletal Complaints
Authors: Fritz Péter , Mayer Lívia , Bóday Pál , Maszlag Annamária , Fritz Réka
Published: June 2023

The demand for dietary supplements containing collagen has been growing for years. The speciality and uniqueness of the dietary supplement (DS) examined in our study is the presence of L-arginine and hyaluronic acid alongside collagen and vitamin C. The individual mechanisms of action and physiological role of these compounds are understood, but they have not yet been tested in the combination and amounts of the dietary supplement used in this study.
In this study, we investigated the effectiveness of the DS in elderly patients with musculoskeletal complaints. Somatometric, body composition, physiotherapy and laboratory tests were performed at the beginning and at the end of the study.
The two-month study involved 30 people, randomly divided into two groups: a control group (CG) and an experimental group (EG). All subjects consumed 25 ml DS per day and EG members also participated in physiotherapy 3 times a week.
Alongside the DS, blood lipid levels changed: LDL decreased, HDL increased, LDL/HDL ratio significantly decreased in both groups. For EG, the results improved more markedly. In 3 items of the body composition test, there was a significant improvement in both groups, which was attributed to the use of the dietary supplement. For the EG, there were significant changes in 5 additional test items, which we attribute to the addition of regular physical activity.
Knee and hip joint range of motion (ROM) showed significant improvements in the study group, while in the CG the DS can cause significant improvements in joint range of motion in a passive condition as well.
On the Relationship between the Fractal Dimension of Geomagnetic Variations at Altay and the Space Weather Characteristics
Authors: Gvozdarev Alexey , Parovik Roman
Published: June 2023

The fractal dimension of geomagnetic variations at the Baigazan magnetic station at Russian Altay for 2011-2013 was calculated using the Higuchi method. The daily variation of Higuchi Fractal Dimension (HFD) for the D,H,Z-components of the geomagnetic field has been investigated, its contribution to the variability of HFD is from 30 to 40 percent of the total variance. A correlation analysis of the fractal dimension of the variations of the D,H,Z-components with Auroral Electrojet (AE) index and solar wind characteristics was carried out. A negative correlations with logarithms of AE-index, interplanetary magnetic field (IMF) strength and solar wind velocity were found. About 25 percent of the fractal dimension variance is controlled by the variability of these characteristics. Pair and partial correlation coefficients for these parameters were calculated for every month of 2011-2013.
Enhancing Positivity in Mass Media for Nation Building: A Critical Review
Authors: Dhiman Bharat
Published: June 2023

This research paper examines the role of mass media in fostering positivity for the purpose of nation building. The mass media, including television, radio, print, and online platforms, holds significant influence over public opinion and societal attitudes. However, in recent years, there has been a growing concern about the predominance of negative news and content, which can have detrimental effects on the overall well-being of individuals and the development of a cohesive society. This study explores strategies and approaches to enhance positivity in mass media for the betterment of nations. It investigates the potential benefits, challenges, and ethical considerations associated with promoting positivity through various media channels. This paper provides recommendations for media organizations, policymakers, and society at large to cultivate a more positive media landscape that contributes to nation building.
Room-Temperature Hydrogen Sensitive Pt-SnO2 Composite Nanoceramics: A Comparison Study on Two Different Pt Loading Methods
Authors: Zhao Jingting , Song Jiannan , Lu XiLai , Wu Menghan , Yan Zhiqiao , Chen Feng , Chen Wanping
Published: June 2023

Soluble noble metal salts are widely used for loading noble metals as nano-catalysts in many applications. In this paper, Pt-SnO2 composite nanoceramics were prepared from SnO2 nanoparticles and H2PtCl6 using two Pt-loading methods separately: For the solution reduction method, the H2PtCl6 solution was added to a suspension of SnO2 and zinc powder to form Pt on SnO2 nanoparticles; and for the impregnation method, Pt was formed from H2PtCl6 in the course of sintering. Although a series of samples prepared using both Pt loading methods showed a strong response to H2 at room temperature, the ones prepared using the solution reduction method exhibited much better room temperature hydrogen sensing characteristics. For two samples of 0.5 wt% Pt and sintered at 825°C, the response value for the sample prepared using the solution reduction method was 5300 to 1% H2-20% O2-N2, which was much larger than that of 150 for the sample prepared using the impregnation method. Samples prepared using the two Pt loading methods have similar microstructures as characterized by XRD, FESEM, EDS, TEM, and HRTEM. However, the residual chlorine content in those using the impregnation method was found to be higher than that using the solution reduction method through analysis. It is proposed that the striking difference in the room temperature hydrogen sensing characteristics among samples prepared using these two different Pt loading methods separately resulted from their different chlorine removal process. This study demonstrates the importance of a proper method in loading noble metals from their soluble salts as nano-catalysts in many applications.
A Novel Chromatographic Method to Assess the Binding Ability towards Dicarbonyls
Authors: Artasensi Angelica , Salina Emanuele , Fumagalli Laura , Regazzoni Luca
Published: June 2023

Dicarbonyls are electrophiles able to generate the so-called advanced glycation end-products (AGEs). Human exposure occurs via ingestion (e.g., food), inhalation (e.g., electronic cigarettes) and dysregulation of endogenous metabolic pathways (e.g., glycolysis). Biological systems can prevent AGEs formation via enzymatic and nonenzymatic reactions. However, the continuous exposure to dicarbonyls may cause the depletion of endogenous substrates and the beginning of AGEs accumulation (i.e., carbonylation). Since this process has been associated with multiple disorders, several studies advocated the use of dicarbonyl binders as food preservatives or as drugs aimed at mitigating carbonylation damages. As reported for other toxicants (e.g., HNE, acrolein), the screening of selective and potent binders can be performed by measuring the residual amount of a selected dicarbonyl substrate, upon its incubation with candidate binders. Unfortunately, naturally occurring dicarbonyls are poorly responsive to many detectors (e.g., UV or MS). For this reason, most of the screening methods that have been reported to date relies on indirect quantification upon derivatization. However, this strategy can potentially lead to inaccurate results since the tested compounds can affect the derivatization yield. Therefore, we herein reported the use of benzylglyoxal (BGO) as a convenient, UV responsive, dicarboyl surrogate. By using BGO as a substrate, we setup an easy and cheap chromatographic assay for the direct measurement of the binding activity towards dicarbonyls, without derivatization. The method was qualified by assessing the binding ability of some known dicarbonyl binders, obtaining results consistent with literature.
A Comprehensive Review of Natural Product as Therapeutic Agent for Head and Neck Squamous Cell Carcinoma Using Preclinical Model
Authors: Liew Yoon Xuan , Karen-Ng Lee Peng , Vincent-Chong Vui King
Published: June 2023

Head and neck squamous cell carcinoma (HNSCC) is a type of cancer that arises from the epithelium lining of the oral cavity, hypopharynx, oropharynx, and larynx. Despite advancement of the current treatment to HNSCC, such as surgery, chemotherapy, and radiotherapy, the overall survival rate of HNSCC remains poor due to late diagnosis and acquired resistance to treatment. Natural products have been extensively explored as a safer and more acceptable alternative to current treatments, with numerous studies displaying their potential against HNSCC. This review highlights preclinical studies in the past 5 years involving natural products against HNSCC and explores the signalling pathways altered by these products. This review also addresses challenges and future directions of the use of natural products as chemotherapeutic and chemoprevention agents against HNSCC.
CGT Feeding Amid Feed Scarcity in Sheep and Factors Driving Inclusion in Yarn Spinning Industrial Cluster of Tamil Nadu, India
Authors: N Sri Balaji , S Ramakrishnan , J Muralidharan , P Vasan , A K T Thiruvenkadan , K Sivakumar , V Sankar , V Kumaravel , D Thirunavukkarasu
Published: June 2023

CGT is composed of fiber residues, leaves, dust particles, soil and others derived during the ginning and yarn spinning process at processing industries,. In the cotton spinning industrial clusters, farmers are using CGT) as one of the alternative roughage feed for their sheep, mainly during forage shortages in the summer months. To have baseline information on farmers using gin and factors driving them to choose CGT as a roughage source, which need to be identified for future planning on the usage of CGT in sheep feeding. Considering the above facts, the present study was undertaken to assess socio-personal characteristics, managemental practices associated with farmers using cotton gin in the feeding of sheep and also identify the factors driving the choice of the CGT as the primary source of roughage in the cotton spinning industry cluster of Tamil Nadu. For this, a survey among 80 sheep farmers was carried out using a pre-tested in-terview schedule. The collected data was analysed using descriptive statistics and logit regres-sion. The results indicated that the majority of male, aged, and large-land farmers were involved in practicing CGT feeding during the summer and also indicated the non-availability of green fodder during the summer season. The coarse type of CGT preferred more than the fine type of CGT trash in that area due to quality perception and price. The replacement level of CGT as roughage ranged from 33 to 75% of the total roughage requirement per day. About 88 percent-age of farmers were highly satisfied with the results of using CGT and they also expressed that the presence of foreign particles and dust were the major problems with using CGT. The choice of CGT as primary roughage among sheep farmers was primarily influenced by selective farming contexts, namely landholding, access to labour, and feeding practices of other livestock with cotton gin. Further, research has to be focused on to improve the quality of CGT in the future, as it is being utilised largely by sheep farmers.
Level of Experience and Predictors of Proactive Practical Experience to Solve COVID-19 Among Public Health Officers in Primary Care Units in the Upper Southern Region, Thailand: An Explanatory Mixed Methods Approach
Authors: Sangpoom Suttida , Adesina Femi , Kaewchandee Chuthamat , Sikanna Kannika , Noppapak Natchima , Maneerattanasak Sarunya , Shohaimi Shamarina , Suwanbamrung Charuai
Published: June 2023

Public Health Officers' (PHO) experiences in reaction to the COVID-19 pandemic can be based on whether the PHO is passive or active. Therefore, the study’s objectives are to identify the types of experiences and analyse the predictors of proactive practical experiences in solving COVID-19 among PHOs in the upper southern region of Thailand. Methods: An explanatory mixed-methods approach was used to collect data, through questionnaires and online in-depth interviews. The study was conducted from August 4, 2020, to August 3, 2021. Results: The results included 60 PHOs from 60 PCUs in 6 provinces, with 41 (68.3%) females and an average age of 35.57 years (SD = 11.61). The PHOs’ knowledge, understanding, and participation experience aspects were mostly proactive rather than passive. Factors that significantly predicted proactive practical experiences included sex (ORadj = 1.52, 95% CI = 1.04–2.21), age (ORadj = 1.69, 95% CI = 1.16-2.48), married status (ORadj = 1.69, 95% CI = 1.16-2.48), education level (ORadj = 1.50, 95% CI = 1.02–2.20), and position for work (ORadj = 1.69, 95% CI = 1.16-2.48). Conclusions: PHOs’ knowledge, understanding, opinion, and participation experiences were significant predictors of practical experience. Primary health care systems should promote proactive experiences in all four aspects to increase proactive practical experiences.
Dancers’ Physical Fitness across their Four-Year Collegiate Programs: A Prospective Analysis
Authors: Ambegaonkar Jatin Prafull , Hansen-Honeycutt Jena , Wiese Kelley Rock , Cavanagh Catherine M , Caswell Shane V , Ambegaonkar Shruti J , Martin Joel
Published: June 2023

Dance is physically demanding, requiring physical fitness(PF) that includes upper body, lower body, core fitness, and balance for successful performance. Whether PF changes as dancers advance from when they enter(freshmen) to when they graduate from their collegiate program(seniors) is unclear. We prospectively compared collegiate dancers’ freshman-to-senior PF. We recorded PF of the upper body strength-endurance(push-ups, n=number), core strength-endurance(front, left-side, right-side, and extensor plank hold times, s=seconds), lower body power(Single-leg-hop-SLH distances % Height; Leg Symmetry Index: LSI=higher/lower*100, %), and balance(Anterior Reach Balance,%Leg-Length, LL; LSI balance=higher/lower*100, %) in 25 collegiate dancers(23 females, 2 males; freshmen age=18.2±0.6yrs). Paired t-tests(p<.05) compared measures from freshmen-senior years. Across their collegiate programs, dancers’ PF remained unchanged: upper body strength-endurance push-ups numbers(p=.93), core strength-endurance plank times(left:p=.44, right:p = .67, front:p=.60, p=.22), SLH distances(left: p =.44, right:p =.85) and SLH symmetry(p=0.16). Dancers’ right leg balance(p =.08) remained similar, while the left balance(p =.02) improved with better symmetry(p<.001) in senior balance scores. Overall, dancers’ PF did not change across their collegiate programs, except for greater left leg balance scores. Findings suggest that practitioners can use collegiate dancers’ freshmen baseline PF when devising rehabilitation programs and making return to activity decisions post injury throughout their dance programs.
Compound Drought-Heat Weather Extremes Induce a More Severe Summer Fire Season in the Three Gorges Reservoir Area, Subtropical China
Authors: Gutiérrez Rodríguez Lucas , He Yingpeng , Sun Mengqi , Yao Yinan , Resco de Dios Víctor
Published: June 2023

Global warming is increasing the frequency and intensity of compound drought-heat events (CDHEs), potentially leading to larger and more extreme fire seasons in mesic forests. Wildfire activity in subtropical China, under the influence of monsoonal rainfall, was historically limited to dry winters and rare in rainy summers. Here we seek to test that this area is on the brink of a major change in its fire regime characterized by larger fire seasons, extending into the summer, leading to increases in burned area. We analyze fire activity in Chongqing Municipality (46,890 km2), an important area in subtropical China hosting the Three Gorges Reservoir Area. We observed significant increases in summer forest fires under anomalous dry-hot summer conditions, where total burned area was 3-6 higher than the historical annual mean (largely confined to the winter season). Vapor pressure deficit, an indicator of hot and dry conditions, was a strong predictor of fire activity, with major wildfires occurring on days where VPD was higher than 3.5kPa. Results indicate that major wildfire activity may occur in the area as a result of climate change, unless strong fire prevention policies are implemented.
Commuted PD Controller for Nonlinear Systems: Glucose-Insulin Regulatory Case
Authors: Pujol-Vázquez Gisela , Acho Leonardo , Gibergans-Báguena José
Published: June 2023

As an option to deal with the insulin-dependent disease, a recent commuted PD control strategy is designed and carefully analyzed for different clinic diabetic patients. This controller approach is mainly conceived to stabilize the glucose blood concentration in a diabetic patient around its basal value, hence avoiding extreme situations such as hypoglycemia and hyperglycemia. This control strategy receives two inputs carefully tuned to actuate when the measured variable is out of a prescribed healthy zone. Therefore, one of these variables is invoked to decrease the glucose concentration to insulin injection, and the other is employed to increase the glucose absorption, both by using a proper PD controller. According to our numerical experiments, our controller approach performs well, even when there is an external disturbance in the controlled system.
Spanish Doctoral Thesis in Health Sciences on Gender (1976–2022)
Authors: Cárdaba-Garcia Rosa M. , Cárdaba-García Inés , Navalpotro-Pascual Susana , Olea Elena , Pérez-Pérez Lucía , Madrigal-Fernández Miguel Ángel , Durantez-Fernández Carlos , Soto-Cámara Raúl
Published: June 2023

Objective: To quantitatively analyze the production of Doctoral Theses on health issues related to gender in Spain. Method: Quantitative synthesis of the productivity indicators of the Doctoral Theses de-fended in Spanish Universities between 1976 and 2022, obtained from the Spanish TESEO data-base. Descriptive analysis, materialized in tables and graphs, and time series model, based on the Holt-Winters model methodology. Results: 18.75% of the defended Doctoral Theses represents the scientific production of the Universities. Madrid is where the greatest number defend themselves with 37.5%. One in three authors are graduates in medicine. The theme of the Theses is gender violence in 25.0%, the authors are women in 87.5%, 44.0% of women direct theses. The scientific production of directors according to the H Index is very uneven, since one person has an index of 76 and another of 1. The temporal sequence of production is erratic, since in some years no Doctoral Theses are defended, but in 2017 were three. Conclusions: Spanish research in clinical Doctoral Theses on gender is scarce. It would be desirable to develop doctoral programs that promote the generation of theses in health that have gender differences in health care as their central point.
Transcription Factors Control the Virulence-Associated Metabolic Enzymes and Membrane Proteins in Response to Nutrient Bioavailability in Cryptococcal Infection
Authors: Folorunso Olufemi Samuel , Sebolai Olihile Moses
Published: June 2023

Cryptococcus neoformans is a pathogenic fungus that causes cryptococcosis, a significant secondary infection in immunocompromised individuals with immune-suppressive related symptoms from HIV infection and organ transplants. Fungaemia occurs via the respiratory route and spreads by tissue invasion into other body parts. Enzymes and membrane-associated permeases/transporters are accessory proteins deployed to enhance the survival, adaptation, and infection caused by Cryptococcus species. The nutrient bioavailability determines the functional turnover rate of these proteins in the immediate fungal environment. Low oxygen levels in the internal organs, essential micro-elements locked in the storage proteins, catabolite repression, phagolysosomal low glucose level and pH, tight junction, and extracellular matrixes are challenges to the survival of this pathogen in the host. This review identifies key hydrolytic and metabolic enzymes and permeases/transporters as essential weapons of virulence in addition to survival, tolerance, resistance, adaptation, and infection in humans. Under the regulation of different transcription factors, these proteins are released in response to nutrient sensors designed to siphon the host nutrients and induce infection in predisposed individuals. The extracellular secretory vesicles called “exosomal virulence bag” also harbour cryptococcal urease, laccase, phosphatase, and capsular components as additional secretory protein weapons for immune evasion, tissue invasion and persistence.
Association Between Tranexamic Acid Use and Heterotopic Ossification Prevalence After Elbow Trauma Surgery
Authors: Liu Hang , Li Juehong , Hu Yuehao , Guo Jingyi , Lou Tengfei , Luo Gang , Chen Shuai , Wang Wei , Ruan Hongjiang , Sun Ziyang , Fan Cunyi
Published: June 2023

Background:

Heterotopic ossification (HO) is a common complication of elbow trauma that can affect limb mobility. Inflammation is an initiating factor for HO formation. Tranexamic acid (TXA) can reduce the inflammatory response after orthopaedic surgery. However, evidence regarding the effectiveness of TXA use for HO prevention after elbow trauma surgery is lacking.

Methods:

This retrospective observational propensity-score-matched (PSM) cohort study was conducted from July 1, 2019, to June 30, 2021, at the National Orthopedics Clinical Medical Center, Shanghai, People’s Republic of China. A total of 640 patients who underwent surgery following elbow trauma were evaluated. The present study excluded patients with an age of <18 years; those with a history of elbow fracture; those with a central nervous system injury, spinal cord injury, burn injury, or destructive injury; and those who had been lost to follow-up. After 1:1 matching on the basis of sex, age, dominant arm, injury type, open injury, comminuted fracture, ipsilateral trauma, time from injury to surgery, and nonsteroidal anti-inflammatory drug use, the TXA group and the no-TXA group comprised 241 patients each.

Results:

In the PSM population, the prevalence of HO was 8.71% in the TXA group and 16.18% in the no-TXA group (with rates of 2.07% and 5.80% for clinically important HO, respectively). Logistic regression analyses showed that TXA use was associated with a lower rate of HO (odds ratio [OR], 0.49; 95% CI, 0.28 to 0.86; p = 0.014) than no TXA use, as well as with a lower rate of clinically important HO (OR, 0.34; 95% CI, 0.11 to 0.91; p = 0.044). None of the baseline covariates significantly affected the relationship between TXA use and HO rate (p > 0.05 for all). Sensitivity analyses supported these findings.

Conclusions:

TXA prophylaxis may be an appropriate method for the prevention of HO following elbow trauma.

Level of Evidence:

Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
Prompt Recognition
Authors: Bolander Sarah , Post Gretchen
Published: June 2023

There is a wide range of traumatic elbow injuries that require prompt recognition and management. Fractures of the elbow are common in children; however, because of the complexity of radiographic evaluation in skeletally immature patients, diagnosis of pathology may be missed or misinterpreted, leading to delay in treatment and complications. Careful history and thorough physical examination and utilization of a systematic approach to radiographic evaluation will reduce the chance of a delayed or missed diagnosis. This article will provide an overview of 5 pediatric elbow injuries not to miss, including potential complications and unique considerations for each fracture type to avoid common pitfalls.
Risk of Aseptic Revision and Periprosthetic Fracture Following Bipolar Versus Unipolar Hemiarthroplasty
Authors: Okike Kanu , Royse Kathryn E. , Singh Gurpreet , Zeltser David W. , Prentice Heather A. , Paxton Elizabeth W.
Published: June 2023

Background:

Hemiarthroplasty is currently the most common treatment for displaced femoral neck fractures in the elderly. While bipolar hemiarthroplasty was developed to reduce the risk of acetabular erosion that is associated with traditional unipolar hemiarthroplasty, meta-analyses have reported similar outcomes for bipolar and unipolar hemiarthroplasty devices. The primary objective of this study was to evaluate the risks of aseptic revision and periprosthetic fracture following bipolar versus unipolar hemiarthroplasty in a large integrated health-care system in the United States.

Methods:

We conducted a retrospective cohort study using data from the hip fracture registry of an integrated health-care system. Patients aged ≥60 years who underwent hemiarthroplasty for hip fracture between 2009 and 2019 were included. The primary outcome measure was aseptic revision, and the secondary outcome measure was revision for periprosthetic fracture. Cause-specific Cox proportional hazards regression was performed, with mortality considered as a competing event. In the multivariable analysis, estimates were adjusted for potential confounders such as age, sex, race/ethnicity, body mass index, American Society of Anesthesiologists classification, femoral fixation, surgeon volume, type of anesthesia, and discharge disposition.

Results:

The study sample included 13,939 patients who had been treated with hemiarthroplasty by 498 surgeons at 35 hospitals. The mean follow-up time was 3.7 ± 2.9 years. The overall incidence of aseptic revision at 5 years following hemiarthroplasty was 2.8% (386). In the multivariable analysis controlling for potential confounders, bipolar hemiarthroplasty was associated with a lower risk of aseptic revision than unipolar hemiarthroplasty (hazard ratio [HR], 0.74; 95% confidence interval [CI], 0.59 to 0.94; p = 0.012). Rates of revision for periprosthetic fracture were similar between the bipolar and unipolar devices (HR, 0.79; 95% CI, 0.58 to 1.10; p = 0.16).

Conclusions:

In this study of hemiarthroplasty for hip fracture in elderly patients, bipolar designs were associated with a lower risk of aseptic revision than unipolar designs. In contrast to prior research, we did not find any difference in the risk of periprosthetic fracture between the 2 designs.

Level of Evidence:

Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
Rethinking the division of labor in IR: ‘critical’ and ‘problem-solving’ theories
Authors: LULECİ SULA Cagla
Published: June 2023

Decades after their incorporation into the discipline, the argument that critical approaches are marginalized in the discipline of International Relations (IR) is increasingly becoming questionable. Thus, it is a good time to reflect on critical approaches’ evolution and achievements, as well as their ‘marginalized position in IR’ and relations with conventional approaches. For this aim, this paper focuses on realism(s) and critical theory(ies) while asking whether these two research traditions are conducting 'fair criticisms' to each other based on their own claims and whether their criticisms help develop IR theory's capacity in explaining and/or understanding world politics or undermine it. Accordingly, the paper first analyzes the realist school of thought in IR, going through the main arguments of classical realism, structural realism, and neo-classical realism. Second, it focuses on the development and main assumptions of critical theory (Marxist-inspired approaches, Frankfurt School and Neo-Gramscianism) mainly by focusing on Cox and Ashley's works and critical scholars' readings of them. Third, the paper discusses the main points of cleavages between the two approaches mainly based on the famous division of labor (criticizing vs solving problems), and their criticisms to each other while assessing the pearls and pitfalls of each. Following the discussion, the paper asks whether is there a way out of these dichotomies and whether it is possible to create a productive dialogue between 'problem-solving' and 'critical' schools of thought.
CFNN for Identifying Poisonous Plants
Authors: Hassoon Israa Mohammed , Hantoosh Shaymaa Akram
Published: June 2023

Identification of poisonous plants is a hard challenge for researchers because of the great similarity between poisonous and non- poisonous plants. Traditional methods to identify poisonous plant can be tiresome, therefore, automated poisonous plants identification system is needed. In this work, cascade forward neural network framework is proposed to identify poisonous plants based on their leaves. The proposed system was evaluated on both (poisonous leaves/non-poisonous leaves) which are collected using smart phone and internet. Combination of shape features and statistical features are extracted from leaf then fed to cascade-forward neural network which used TRAINLM function for training. 500 samples of leaf images are used, 250 samples are poisonous, the remaining 250 samples are non-poisonous.300 samples used in training, 200 samples for testing. Our system is achieved an accuracy value of 99.5%.
Study the Chemical Bonding of Heterometallic Trinuclear Cluster Containing Cobalt and Ruthenium: [(Cp*Co) (CpRu)2 (μ3-H) (μ-H)3] using QTAIM Approach
Authors: Hassan Ahlam Hussein , Al-Ibadi Muhsen Abood Muhsen
Published: June 2023

المعلمات الطوبولوجية لتأثرات بين معدن-معدن ومعدن-ليكاند في العنقودي ثلاثي النوى رباعي الهيدريد [(Cp*Co) (CpRu)2 (μ3-H) (μ-H)3]1 (Cp* = η5 -C5Me4Et), (Cp = η5 -C5Me5)، باستخدام نظرية الكم للذرات في الجزيئات .(QTAIM) خصائص النقاط الحرجة لاواصر مثل مؤشرات إلغاء تحديد الموقع δ (A, B) ، كثافة الإلكترونρ(r) ، كثافة الطاقة الحركية المحليةG(r) ،  (Laplacian)  لكثافة الإلكترون ∇2ρ(r)، كثافة الطاقة المحليةH(r) ، وكثافة الطاقة الكامنة المحلية V(r) والإهليلجيه ε(r) تمت مقارنتها بالبيانات مع دراسات للانظمة العضوية المعدنية السابقة. أصبحت مقارنة العمليات الطوبولوجية لتفاعلات الذرة والذرة المختلفة ممكنة بفضل هذه النتائج. في قلب مجموعة رباعي هيدرات المعادن غير المتجانسة ، الجزء Ru2CoH4 ، تُظهر الحسابات عدم وجود أي نقاط حرجة للتأصر (BCP) أو مسارات الاواصر (BPs) بين Ru-Ru و Ru-Co يتم تحديد توزيع كثافات الإلكترون من خلال موضع تجسير ذرات هيدريد المنسقة مع Ru-Ru و Ru-Co ، وهذا له تأثير كبير على تكوين الاواصر بين ذرات المعدن الانتقالي. من ناحية أخرى ، تؤكد النتائج أن المركب قيد الدراسة يحتوي على تفاعل تأصر 7c–11e غير محدد على  M3H4 ، كما هو موضح في حسابات مؤشر إلغاء تحديد الموقع غير المهملة. تظهر القيم الصغيرة لكثافة الإلكترون ρ(b) فوق الصفر ، جنبًا إلى جنب مع القيم الصغيرة ، مرة أخرى فوق الصفر ، لـ Laplacian  ∇2ρ(b) والقيم الإيجابية الصغيرة لكثافة الطاقة الإجماليةH(b) ، في تأصر Co-H و Ru-H تعتبر اواصر H في هذه المجموعة نموذجية لتفاعلات الغلاف المفتوح. أيضًا ، تتشابه البيانات الطوبولوجية لتفاعلات الاواصر بين ذرات المعدن Co و Ru مع ذرات C حلقة  cyclopentadienyl Cp. تظهر خصائص مشابهة جدًا لتفاعلات الغلاف المفتوح في تصنيف  QTAIM.