bluuebunny/crossref_metadata_2025 huggingface dataset:
CARDIAC HYDATID CYST: A RARE CASE REPORT
Authors:   Pharmacy Center of the Mohammed V. Military Training Hospital., Rachid Achraf , Lechheb Khadija ,   Faculty of Medicine and Pharmacy of Rabat., Berdi Fadoua ,   Faculty of Medicine and Pharmacy of Rabat., Essad Ayoub ,   Faculty of Medicine and Pharmacy of Rabat., Moutakiallah Younes ,   Cardiac Surgery Department at the Mohamed V. Military Training Hospital., Tadlaoui Yasmina ,   Pharmacy Center of the Mohammed V. Military Training Hospital., Lamsaouri Jamal ,   Pharmacy Center of the Mohammed V. Military Training Hospital.
Published: May 2024

Introduction: Hydatidosis, an anthropozoonosis prevalent in many sheep-farming countries, continues to pose a significant health concern. Cardiac localization represents a rare and distinctive manifestation, accounting for less than 2% of total cases. This report details a case where surgical intervention, coupled with antiparasitic chemotherapy, was used for effective treatment. Patients and Methods: A 36-years-old female, residing in a rural area renowned for agricultural and livestock activities, was under cardiology supervision due to rheumatic polyvalvulopathy. Having undergone hepatic hydatid cyst surgery one year earlier, The reason for her consultation in cardiology was exertional dyspnea, left thoracic pain, palpitations, afebrility, and asthenia. The disease diagnosis relied on imaging findings.Treatment involved the urgent surgical excision of the cyst, followed by the oral administration of albendazole at 400mg x 2 per day, initiated 48 hours postoperatively. With no contraindications, the patient underwent continuous biological monitoring during hospitalization, reporting no adverse effects. The antiparasitic regimen persisted for 4 months. Conclusion: Albendazole, whether used as a standalone therapy or in combination, remains a highly effective treatment. It can either substitute for or complement surgical approaches, offering the flexibility of extended treatment durations. Vigilant monitoring of hepatic function is imperative in these instances to identify potential adverse effects. Two-dimensional transthoracic echocardiography plays a pivotal role in tracking patient progress and evaluating treatment efficacy.Prevention stands out as the most effective strategy against hydatid cysts, emphasizing collective awareness and proactive patient management to avert cyst dissemination.
A RETROSPECTIVE STUDY OF FETOMATERNAL OUTCOME IN HIV POSITIVE PREGNANT WOMEN
Authors:   Post Graduate Student., Sisodiya Jyoti , Meena Santosh ,   Post Graduate Student.
Published: May 2024

Background: In present scenario Acquired immunodeficiency syndrome is one of the worst global health concerns. HIV has a dramatic impact on the health of mother and children. Parent to child transmission of HIV is a major route of new infection in children Methods: A retrospective study was conducted in Jklon hospital, kota from May 2021 to April 2022. All HIV positive pregnant women who were on ART or not and delivered in our hospital were selected. Maternal and fetal outcome variables were analysed. Results: Total deliveries during the study period were 9046. Out Of these HIV positive pregnant women were 36, prevalence being 0.3%. Primigravida were found to be 41.66% during the study period from may 2021 to April 2022. 47.22% were diagnosed HIV positive during pregnancy, vaginal deliveries were 77.77%% and caesarean section was 22.22%. birth weight <2kg in 8.3% and IUFD were 8.3%. Nevirapine prophylaxis were given to 91.66% of neonate Conclusions: our result suggest that Early diagnosis and initiation of therapy will prevent transmission to their children and better fetomaternal outcome. In patients who are on ART education and counselling can alter maternal and neonatal outcome. Awareness and information is important to increase access to PPTCT services. Team approach involving an experienced obstetrician, neonatologist and physician gives hope of having a healthy uninfected baby for HIV infected mothers.
UNVEILING THE SYNERGY BETWEEN COMMUNITY PARTICIPATION AND INDIAN TRADITIONAL KNOWLEDGE IN SCHOOL EDUCATION: INSIGHTS FROM NEP 2020 & NCF-SE 2023
Authors:   Ph.D. Research Scholar (UGC-JRF), Department of Studies and Research in Education, School of Education, Central University of Gujarat, India., Das Animesh , Rai Rakesh ,   Professor, Department of Studies and Research in Education, School of Education, Central University of Gujarat, India.
Published: May 2024

This study endeavours to explore the vital role of community involvement in integrating Indian traditional knowledge in school education. Through this study, an attempt has been made to analyse the policy documents of NEP 2020 & NCF-SE 2023 to elucidate the role of community participation in enriching the learning experiences and acquaint learners with the traditional knowledge practices of diverse Indian communities. Moreover, the study also provide strategies for effective incorporation of indian traditional knowledge through community participation in various aspects of school education.
FITTING G-FAMILY PROBABILITY DISTRIBUTION AT THE RAINFALL DATA OF RAJSHAHI DISTRICT, BANGLADESH
Authors:   Data Mining and Environment Research Group, Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh., Mostafizur Rahman Md. , Sayedur Rahman M. ,   Data Mining and Environment Research Group, Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.
Published: May 2024

Classical statistical distributions were recognized tool in case of different areas such as biological science, economics, finance, engineering and environmental science. But these types of distribution have some limitations for modeling real data. Researchers are trying to find out the best performing statistical distribution for modeling environmental data by adding extra parameters in these existing distributions which provide super flexibility in modeling. These extend to new families of these distributions generally defined as G-family distribution. Rainfall is one of the most important natural resources for agricultural production. The excess and deficit amount of rainfall sometimes be dangerous for agriculture production. So, the prior knowledge about the pattern of rainfall will help to solve food insecurity, water erosion and water pollution problems. In this study we compare the performance of Gamma uniform G, Log gamma G type-I, Log gamma G type-II , Marshall-Olkin G and Weibull G distribution where we consider lomax, f, chen and Weibull distribution as baseline distribution for modeling the rainfall data in case of Rajshahi district Bangladesh. The monthly rainfall data from January 1971 to December 2020 consider as study period. The empirical study shows that Marshall-Olkin Chen distribution gives better fitting results in case of Rajshahi district. This study will help policy makers to become aware of upcoming situations for solving water related problems.
PRIMARY MALIGNANT MELANOMA OF THE PAROTID GLAND, A RARE ENTITY: A CASE REPORT
Authors:   Mohamed V University in Rabat., Alain Francois HABIMANA ,   Department of Maxillofacial Surgery, Ibn Sina University Hospital, Rabat, Morocco., ABIDINE Baba Hassene ZEINE ,   Mohamed V University in Rabat.,   Department of Maxillofacial Surgery, Ibn Sina University Hospital, Rabat, Morocco., Oumaima BOUKHLOUF ,   Mohamed V University in Rabat.,   Department of Maxillofacial Surgery, Ibn Sina University Hospital, Rabat, Morocco., Olaya HAMIDI ,   Mohamed V University in Rabat.,   Department of Maxillofacial Surgery, Ibn Sina University Hospital, Rabat, Morocco., Bouchra DANI ,   Mohamed V University in Rabat.,   Department of Maxillofacial Surgery, Ibn Sina University Hospital, Rabat, Morocco., Malik BOULAADAS ,   Mohamed V University in Rabat.,   Department of Maxillofacial Surgery, Ibn Sina University Hospital, Rabat, Morocco.
Published: May 2024

The prevalence of primary malignant tumors of the salivary gland is 1 per 100,000 people. Most salivary gland tumors originate in the parotid gland (80%), of which 25% are malignant. Adenoid cystic carcinoma, mucoepidermoid carcinoma and acinar duct carcinoma are among the most common types of salivary gland cancer [1]. Around 25% of parotid tumors are metastatic, originating mainly in the head and neck region. The main metastatic tumors of the parotid gland are squamous cell carcinoma and malignant melanoma [2]. Parotid melanoma is generally secondary to a primary location on the skin of the head and neck. When its primary site cannot be found, we speak of primary melanoma of the parotid gland, an even rarer entity. Here, we report the case of a primary malignant melanoma of parotid gland in a 66-year-old male subject.
ADVANCED FOREIGN EXPERIENCES OF FINANCING HIGHER EDUCATION INSTITUTIONS
Authors:   PhD, Tashkent State University of Economics., Gulshat Khojabayevna Karlibaeva
Published: May 2024

Progressed outside encounters of financing higher education institutions, higher education expenses of foreign universities, financing of higher education institutions of foreign countries from budget and extra-budgetary sources, encounters of the USA, Great Britain, Australia Canada and Kazakhstan as illustrations of the approach of fetched assignment, endowment funds of higher education institutions issues such as financing through budgetary assets were considered.
Social Media Influencer: The Influence of Followers’ Purchase Intention through Online Engagement and Attitude
Authors: Dauhan Giovanni Imanuel , Langi Edwin
Published: May 2024

Marketing collaboration with social media influencers is rapidly developing into a promotional strategy. It is considered the most effective for marketers worldwide, including in Indonesia. Although effective, marketers face challenges in selecting the right Social Media Influencer (SMI) according to the company’s brand due to the high growth in the number of SMIs. The research aimed to examine the relationship between the influence of SMI credibility based on the source credibility model and the advertising value of SMI content on attitude toward SMI and online engagement. Then, it led to purchase intention as a determinant of the success of product/brand promotion activities. The research used the Stimulus-Organism-Responses (SOR) framework. The number of samples used was 261 social media users who followed at least one SMI and were domiciled in several regions of Indonesia. Partial Least Square Structural Equation Model (PLS-SEM) was used as a data analysis method, with software analysis tools of Smart PLS Ver.3.2. The results show that SMI’s credibility based on the source credibility model and content value based on advertising value act as a stimulus. They have a significant and positive effect on followers’ attitude and online engagement. They also subsequently influence purchase intention. Both attitude toward SMI and online engagement mediates the relationship between source credibility and the advertising value of content on purchase intention. These findings can help marketers’ strategies in determining the right SMI to use.
The Influence of Marketing Strategy on Marketing Performance from a Management Perspective in the Disruption Era
Authors: Wijaya I Gusti Ngurah Satria , Malintang Latanro Annisa Balqis Bashira Syahrir , Sugianitri Ni Nyoman Arie Rahayu
Published: May 2024

The world continues to develop and change, and everything is digital-based in the current era of disruption. The retail industry is one of the business sectors most severely impacted by the COVID-19 pandemic and the disruption era. Numerous businesses or retail issuers also see a drop in sales and even suffer losses. The research aimed to evaluate the most successful marketing tactics toward marketing performance in the disruption era from a management perspective. The major data used came from questionnaires given to management with digitized or digital marketing. A total of 282 data were collected using the purposive sampling technique to determine the respondents in Denpasar City. Structural Equation Model (SEM) analysis was employed in this investigation. The research outcomes are strategies that effectively influence marketing performance in the disruption era, including marketing mix strategy, online affiliate marketing strategy, and social media strategy. The marketing mix strategy cannot be abandoned despite changes in the disruption era. There can only be a change in strategy using digital marketing media. The research novelty lies in its findings, which support the Resource-Based View (RBV) theory, the marketing tactic employed to enhance marketing effectiveness in the disruption era. The practical implications include policy recommendations for business management and marketing methods to improve marketing performance in the disruption era.
Influence of the Substrate on the Performance of a Co-Prussian Blue Catalyst towards the Water Oxidation under Mild Conditions
Authors: Aparecido Gabriel , Yoshimura Rafael , Ferraz Thiago , Zambiazi Priscilla , Bonacin Juliano
Published: May 2024

Efforts in developing water oxidation reaction (WOR) catalysts mainly focus on Earth-abundant elements with high stability and efficiency. However, the behavior of these materials may vary depending on the electrochemical substrate with which they interact. Understanding the interaction between the catalyst and the substrate can provide valuable insights to advance the design of highly efficient water-splitting devices. In this context, we investigated the influence of different electrochemical substrates on the performance of cobalt-Prussian blue analog (Co-PBA) in WOR under neutral conditions (pH = 7). The results highlight the role of substrate type, including conductive glass (fluorine-doped tin oxide (FTO)), 3D-printed electrodes (3DPE), and Ni-foam, on the electrocatalytic efficiency of Co-PBA. Two methods of Co-PBA synthesis (electrodeposition and drop casting) were employed to understand their effects on morphology, electrochemical properties, and performance in WOR. The results revealed that the substrate and preparation method of Co-PBA can affect the electrochemical behavior, demonstrating differences in electrocatalytic activity, stability, and charge transfer.
The Philosophy of Childhood in the Digital Age
Authors:   Institute of Philosophy and Law of the Siberian Branch of the Russian Academy of Sciences, Zaykova Alina S.
Published: May 2024

The article is centered at the main approaches to the definition of the concept of a child within the framework of the philosophy of childhood. The position of child in the contemporary society is ambiguous: on the one hand, the life of a child is often placed above the life of an adult, or at least is valued higher than his expected contribution; on the other hand, the interests and desires of children are not really significant for adults and are not taken into account in the process of making decisions, even when they touch the children’s essential needs. One of the main modern approaches in the field of the philosophy of childhood, which is an attempt to explain this fact, suggests that a child is a future adult, first of all. Despite the obvious advantages of this approach ‘child as a little adult’, this concept does not fully meet the requirements of the contemporary digital age; it is rather evident when analyzing the interaction between a child and an adult, since this approach is not able to adequately meet needs and values of the modern digital society. Quite contrary to this, we suggest to consider the concept of childhood within the framework of the cultural-historical ideas by Vygotsky and his followers, which suggests that the central concept in this theory is the idea of development, not limited to growing up as a way to shape an adult from a child, but considered as an unconditional right and a biological norm, as well as an integral part of childhood. This will help to improve interaction with a child, increase the standard of living of a certain child, as well as the flexibility and integrity of the individual, especially under the uncertainty of the expected transformational processes of the contemporary digital age.
Technical Connection: Invariants, Adaptations, Breakthroughs
Authors:   Humanitarian University, Pogorelskaia Elena Yu.
Published: May 2024

The article deals with issues related to the features of technical existence and its influence on civilizational processes, in general. The main element of technical reality is a copy. Copying is an ideal tool for maintaining the existence of the technical world, a model for reproducing technical reality. The peculiarity of a technical ontology is determined by the logic that is built into it. The logic built into the ontology defines the specifics of technical connections. Technical copying can be represented by the logic of a standard closed ring, or the logic of the Möbius strip. The article highlights copies of the first order, embodied in utopian dreams of an ideal technological world. Copies of the second order are associated with the mass replication of goods and services, the emergence of a standardized worldview, the use of algorithms in management decisions. Simulacrum copies are artificially created viruses, the peculiarity of shadow copies is that they destroy their donor. The experiment is also considered as a technical situation, since it meets the requirements of artificiality, control, power influence, reproduction. But the peculiarity of its seriality, its type of copies is the function of turning logic. The experiments mix natural and artificial, living and non-living, as well as all modes of time. In experiments, the links of natural laws and the rings of traditions are broken, the world is moving from the ‘eternal return’ to new objects and new types of relationships. Here self-expansion of being is accomplished through the interaction of researchers, devices, information carriers, resources. The technical truth that appeared in the experiment embodies courage and creativity, thereby revealing its aspiration to the future. In copies of experiments, it is not subsidence that works, but the growth of being.
The Concept of “Pseudomorphosis” in the Book by G. V. Florovsky “Ways of Russian Theology”
Authors: Shchuchenko Vladimir A.
Published: May 2024

The concept of pseudomorphosis is used by G. V. Florovsky as such a borrowing, which is of an instrumental-technological and formal-scholastic nature and, therefore, does not meet the deep interests of the Church of Christian peoples and the creative development of theological thought. He emphasizes the positive, stimulating significance of theology in the history of Russian not only of Patristics, which is usually paid attention to, but also of Western theological thought, especially since the sixteenth century, which is often overlooked. From the point of view of G. V. Florovsky, theological pseudomorphoses are overcome on the basis of multilateral historical ties: Patristics and the ‘comprehending growth’ of theological thought, theology and church life, theology and secular philosophy, theology and culture of the people, Orthodox theology and the theological thought of other Christian confessions. According to G. V. Florovsky, the ‘Catholic’ synthesis of the Church means that universal, communal force, which manifests itself in theological thought on the historical basis. The transformation of external borrowed forms into pseudomorphoses is explained by G. V. Florovsky with specific historical reasons: the lag of Orthodox thought from Western religious and philosophical thought, the political interests of the warring countries, the separation of the clergy from the needs of laic believers, their historical experience and culture. The Russian theologian considers as pseudomorphic those theological borrowings that formally and dogmatically, and not organically and synthetically, enter the autochthonous cultural-historical context. It is here that the source of uncreative imitation and scholastic tendencies in Russian theology manifest themselves. G. V. Florovsky shows, that borrowings alien to the interests and needs of the believers turn into clericalism and political servility of Church hierarchs. This statement by G.V. Florovsky is relevant till nowadays; it is combined with another, equally relevant conclusion by him: a dialogue with Western theology has a positive, stimulating value for Russian Orthodoxy as well.
miRNA-21, an Important Regulator of Autoimmune Diseases
Authors: Tofigh Roghayeh , Safaralizadeh Reza , Hosseinpourfeizi Mohammadali , Hemmat Nima , Baradaran Behzad
Published: May 2024

miRNA-21 is regarded as both an abundant and highly conserved member
of the microRNA (miRNA) family. It is expressed in virtually every cell and is
responsible for critical regulatory actions that are important in health and disease. This
microRNA has been shown to potentially have a role in the pathogenesis of several
immune-related disorders, including autoimmune diseases, such as Multiple sclerosis
and systemic lupus erythematosus, as two prominent examples of diseases that might
be involved. In the current research, we looked at the role of miRNA-21, regarded as
one of the most significant pathogenic miRNAs with a role in the development of
autoimmune illness.
Precancerous Change Detection Technique on Mammography Breast Cancer
Images based on Mean Ratio and Log Ratio using Fuzzy c Mean Classification
with Gabor Filter
Authors: Jamil Razia , Dong Min , Bano Shahzadi , Javed Arifa , Abdullah Muhammad
Published: May 2024

Background:

The growing rate of breast cancer necessitates immediate global attention. Mammography images are used to determine the stage of malignancy.
Breast cancer stages must be identified in order to save a person's life

Objective:

This article's main goal is to identify different techniques to obtain the difference between two breast cancer mammography images taken of the
same individual at different times. This is the first effort to identify breast cancer in mammography images using change detection techniques. The
Mammogram Image Change Detection (ICD) technique is also a recent advancement to prevent breast cancer in the early stage and precancerous
level in medical images.

Methods:

The main purpose of this work is to observe the changes between breast cancer images in different screening periods using different techniques.
Mammogram Breast Cancer Image Change Detection (MBCICD) methods usually start with a Difference Image (DI) and classify the pixels in the
DI into changed and unaffected classes using unsupervised fuzzy c means (FCM) clustering methods based on texture features taken from the log
and mean ratio difference pictures. Two operators, mean ratio and log ratio, were used to check the changes in the images. The Gabor wavelet is
utilized as a feature extraction technique among several standards. Using the Gabor wavelet ratio operators is a useful method for altering the
detection of breast cancer in mammography images. Currently, it is challenging to obtain real malignant images of the same person for testing or
training. In this study, two images are utilized. To clearly see the changes, one is an image from the MIAS breast cancer mammography images
dataset, and the other is a self-generated change image.

Results:

The research aims to examine the image results and other quantitative analysis results of proposed change detection methods on cancer images.
The Mean Ratio Accuracy result is 0.9738, and the Log ratio PCC is 0.9737. The classification results are the Log Ratio + Gabor Filter + FCM is
0.9737, and Mean Ratio +Gabor Filter + FCM is 0.9719. The mean Ratio Accuracy result is 0.9738, Log ratio is 0.9737. Log Ratio + Gabor Filter
+ FCM is 0.9737, Mean Ratio +Gabor Filter + FCM is 0.9719. Comparing the PCC of proposed change detection methods with the FDA-RMG
method on the same dataset, the accuracy is 0.9481 only.

Conclusion:

The study concludes that variations in mammography breast cancer images could be successfully identified using the ratio operators with Gabor
wavelet features.
Addressing Toxicity Concerns: State-of-the-Art Synthesis Methods and Emerging Multifaceted Applications of Silver Nanoparticles
Authors: Islam Md Moidul , Kumar Amit , Kumar Ashutosh , Raikwar Sarjana
Published: May 2024

Silver nanoparticles (AgNPs), typically ranging in size from 10 to 1000 nm, are synthesize
through physical, chemical, or biological methods. The biological approach, which often uses
plant extracts, microbes, or fungi, is recommended for its eco-friendliness and lower dangers,
while physical and chemical procedures can be costly and potentially dangerous. AgNPs are widely
used in treatments and diagnostics in the medical field. Their exceptional antibacterial, antifungal,
antiviral, anticancer, antiangiogenic, leishmanicidal, anti-inflammatory, antidiabetic, antioxidant,
and anthelmintic action are just a few of their special qualities. However, AgNPs do have certain
disadvantages due to worries about their nanotoxicity. This thorough study covers a wide
range of AgNP topics, including their synthesis, properties, factors affecting particle size, and
modes of action. Additionally, it covers their uses in the medical field, any potential toxicity issues,
and the difficulties associated with their application.
Exploring the impact of social relationships on work productivity of employees: A structural equation modeling approach
Authors:   Fakultas Ekonomi, Universitas Prima Indonesia, Medan City, Indonesia, Rosnaida Rosnaida , Syaifuddin Syaifuddin ,   Fakultas Ekonomi, Universitas Prima Indonesia, Medan City, Indonesia, Sofiyan Sofiyan ,   Fakultas Sosial Sains, Universitas Pembangunan Paanca Budi, Medan City, Indonesia
Published: May 2024

Improving work productivity is crucial for a company's ability to build strong trust, particularly with its customers. This study aims to explore how social relationships impact employee work productivity by acting as a mediator between supervision and motivation. The research utilizes a quantitative method, specifically a structural equation modeling (SEM) based on SmartPLS, and was carried out at PDAM Tirta Silau Piasa in Asahan Regency, involving 185 employees. Data was collected through surveys using a Likert scale. Findings reveal that social relationships play an important role in linking supervision and motivation to the work productivity of employees at PDAM Tirta Silau Piasa Asahan Regency. The study suggests that supervision should maintain a focus on professionalism to ensure objective outcomes. Additionally, enhancing employee motivation should include not just the employees but also offering rewards such as vacation packages for families and scholarships for children's education to keep motivation levels high.
Sustainable Hospital Waste Management Practices in the Western Province of Sri Lanka: Problems and Prospects
Authors: Fernando R. Lalitha S. , Rushan M.K.M. Natharka
Published: May 2024

Ensuring the sustainability of hospital waste management practices has become a burning issue. Due to the growing population coinciding with rapid urbanization and industrialization, practicing sustainable methods of medical waste management is an urgent requirement. Like other developing countries, Sri Lanka also faces various difficulties when dealing with high-risk hospital waste material, spreading diseases rapidly and making the environment unclean. Thus, moving towards sustainable hospital waste management has received urgent attention. The primary purpose of this study is to explore whether the existing hospital waste management practices are sustainable. Further, this study identifies weaknesses of the existing waste management practices and examines factors affecting Sustainable Hospital Waste Management (SHWM) in the Western province of Sri Lanka. Data were collected from 18 officers involved in waste management from 14 government hospitals in the western province. Both inductive and deductive thematic analyses were used to explore whether the hospital waste management practices are sustainable. The study revealed that most selected hospitals failed to achieve sustainability in waste management practices. Achieving sustainability of waste management practices has become a challenge to government hospitals due to financial constraints, limited facilities and infrastructure, lack of social support, and poor management and administration. Patient mindset and health capacity, positive attitudes, knowledge, awareness, and experience, training on hospital waste management, availability of basic infrastructure and resources, financial facilities for hospital waste management, availability of rules and regulations, and intra and inter-organizational supports significantly affect sustainable hospital waste management. Exploring the sustainability of waste management practices using empirical data related to Sri Lanka is an initial attempt in the sustainable hospital waste management literature. Finally, policy measures are suggested for sustainable hospital waste management in Sri Lanka.
Electronic Immunization Registry in Rwanda: Qualitative Study of Health Worker Experiences
Authors: Uwera Thaoussi , Venkateswaran Mahima , Bhutada Kiran , Papadopoulou Eleni , Rukundo Enock , K Tumusiime David , Frøen J Frederik
Published: May 2024

Background

Monitoring childhood immunization programs is essential for health systems. Despite the introduction of an electronic immunization registry called e-Tracker in Rwanda, challenges such as lacking population denominators persist, leading to implausible reports of coverage rates of more than 100%.

Objective

This study aimed to assess the extent to which the immunization e-Tracker responds to stakeholders’ needs and identify key areas for improvement.

Methods

In-depth interviews were conducted with all levels of e-Tracker users including immunization nurses, data managers, and supervisors from health facilities in 5 districts of Rwanda. We used an interview guide based on the constructs of the Human, Organization, and Technology–Fit (HOT-Fit) framework, and we analyzed and summarized our findings using the framework.

Results

Immunization nurses reported using the e-Tracker as a secondary data entry tool in addition to paper-based forms, which resulted in considerable dissatisfaction among nurses. While users acknowledged the potential of a digital tool compared to paper-based systems, they also reported the need for improvement of functionalities to support their work, such as digital client appointment lists, lists of defaulters, search and register functions, automated monthly reports, and linkages to birth notifications and the national identity system.

Conclusions

Reducing dual documentation for users can improve e-Tracker use and user satisfaction. Our findings can help identify additional digital health interventions to support and strengthen the health information system for the immunization program.
The Evaluation of a Web-Based Intervention (Deprexis) to Decrease Depression and Restore Functioning in Veterans: Protocol for a Randomized Controlled Trial (Preprint)
Authors: Pearson Rahel , Beevers Christopher G , Mignogna Joseph , Benzer Justin , Pfeiffer Paul N , Post Edward , Creech Suzannah K
Published: May 2024

BACKGROUND

Depressive symptoms are common in veterans, and the presence of these symptoms increases disability as well as suicidal thoughts and behaviors. However, there is evidence that these symptoms often go untreated. Intervening before symptoms become severe and entrenched is related to better long-term outcomes, including improved functioning and less disease chronicity. Computer-delivered interventions may be especially appropriate for those veterans with mild to moderate depressive symptoms, because these interventions can require fewer resources and have lower barriers to access and thus have potential for wider reach. Despite this potential, there is a dearth of research examining computerized interventions for depressive symptoms in veteran samples.

OBJECTIVE

The aim of this study is to evaluate the efficacy of Deprexis (GAIA AG), a computerized intervention for depressive symptoms and related functional impairment.

METHODS

Veterans will be recruited through the US Department of Veterans Affairs electronic medical record and through primary care and specialty clinics. First, qualitative interviews will be completed with a small subset of veterans (n=16-20) to assess the acceptability of treatment procedures. Next, veterans (n=132) with mild to moderate depressive symptoms will be randomly assigned to the fully automated Deprexis intervention or a treatment-as-usual control group. The primary outcomes will be self-reported depressive symptoms and various dimensions of psychosocial functioning.

RESULTS

This project was funded in May 2024, and data collection will be conducted between October 2024 and April 2029. Overall, 4 participants have been recruited as of the submission of the manuscript, and data analysis is expected in June 2029, with initial results expected in November 2029.

CONCLUSIONS

This study will provide initial evidence for the efficacy of self-guided, computerized interventions for depressive symptoms and functional impairment in veterans. If effective, these types of interventions could improve veteran access to low-resource psychosocial treatments.

CLINICALTRIAL

ClinicalTrials.gov NCT06217198; https://www.clinicaltrials.gov/study/NCT06217198

INTERNATIONAL REGISTERED REPORT

PRR1-10.2196/59119
Decoding the Complexity of Online Health Information: Dynamics between eHealth and Media Literacy (Preprint)
Authors: Lee Hye-Sun , Jeong Wonjeong , Oh Kyounghee , Jun Jae Kwan
Published: May 2024

UNSTRUCTURED

Contemporary online health information is no longer explained using basic reading and writing skills. Individual skills for accessing, understanding, and evaluating online health information are complex and elaborate in the information-rich modern society. Therefore, this paper aimed to provide a viewpoint for understanding the complexity of online health information by illuminating the dynamics between eHealth and media literacy. This viewpoint paper applied the lenses of both eHealth literacy and media literacy to online health information, with the premise that contemporary online health information is health information and media messages. It further discussed media literacy related to online health information more comprehensively, including accessing, analyzing, evaluating, creating, and acting. This paper sheds light on the transition from traditional health literacy to eHealth literacy by focusing on the health information realm. After applying the components of media literacy to online health information, eHealth literacy and media literacy concepts were mapped to eHealth literacy scales associated with online health information. This perspective explains why media literacy should be considered together with health promotion strategies based on eHealth literacy.
Large-scale Farms and the Rice Economy in Lau North-East Nigeria, 2005-2015
Authors: Adihikon PhD Tanko Angyetsokwa , Tenong Francis John , David Buba Daniel
Published: May 2024

Entrepreneurship in agriculture or agribusiness is one activity that has survived different eras namely pre-colonial, colonial and post-colonial periods in Africa and Nigeria in particular. But despite years of experiment on this path, development in the agricultural sector has remained stagnant or at an insignificant level of growth. Interestingly it has received little attention from scholars in the field of history partly because it was viewed as a domain for the economists and business managers. This paper therefore, examined the agribusiness or activities of large farms in the rice economy of Lau Local Government Area of Taraba State. Broadly two sources were relied upon: primary and secondary, and the multi-disciplinary method were also employed for complementary purposes. The paper was organized around themes, and the historical analytical tool was used in the analysis. The study revealed that the people are largely agrarian based, and the rice economy has huge potentials to feed the state and even the northeast region, but the peasant are largely exploited by the market forces thereby short changed. This is further compounded by government insignificant interest in the sector. Hence, the study posits that government support is critical in providing access to subsidize credit, investing in infrastructure, transport and farm input services like advisory services to reverse decades of neglect, and set the path to sustainable development.
Research on the Key Paths of Enterprise Integration of Domestic and Foreign Trade from the Perspective of Knowledge Transfer
Authors: Ren Zhimin , Zheng Honggang , Yang Qican
Published: May 2024

The issue of inefficient industry innovation caused by the segmentation of domestic and foreign trade markets has been prominent, leading to a long-standing "productivity paradox" between domestic and foreign trade. "Constructing a new pattern of integration of domestic and foreign trade with the domestic cycle as the main body and the mutual promotion of domestic and international cycles" is a strategic deployment of the Party Central Committee and the State Council. This paper investigates the problems and intrinsic mechanisms faced in the process of enterprise integration of domestic and foreign trade from the perspective of knowledge transfer. It clarifies that the primary task of integrating domestic and foreign trade is to solve the problem of inefficient knowledge transfer between domestic and foreign trade. At the same time, the study shows that: On the one hand, by constructing a horizontal system of knowledge transfer between domestic and foreign trade, it is possible to effectively enable foreign trade enterprises to enjoy the dividends of unified large market reforms, better integrate resources and standards with the domestic trade market, and promote the transfer of knowledge achievements of foreign trade enterprises to the domestic market. On the other hand, through vertical industrial ecological knowledge embedding, it can promote domestic enterprises to leverage the advantages of domestic consumption scale, integrate technology, channels, and platform resources, achieve knowledge embedding of enterprises in the vertical ecological chain of industries, and ultimately achieve the goal of integrated development of domestic and foreign trade.
An account of ornamental bird status and species assemblage in the bird shop of Rajshahi City Corporation, Bangladesh
Authors: Yasmin Nelufa , Khan Md. Aslam , Mortuza M. Golam
Published: May 2024

The business and rearing of ornamental birds have become an important source of income in Bangladesh. The present study was conducted to determine the management and profitability of the ornamental birds, and species assemblage of the cage bird business in Rajshahi City, Bangladesh. Around 30 ornamental bird shops were found to be working with new promise in this region. It was found that 24 varieties of ornamental birds, including both exotic and indigenous, were traded in Rajshahi City. The most dominant order was Psittaciformes (6 species) followed by Passariformes (3 species), and Columbiformes (7 species) under the families Columbidae (seven), Psittaculidae (five), and Estrilididae (two) species, and only one species is found in the Fringillidae and Cacatuidae families. Shannon's index (H) for species diversity is 2.37, the evenness index (E) is 0.86, and Margalef’s index (d) for species richness is 2.22. Most of the ornamental birds were imported by traders who fulfilled requirements to import them. The bird cages with accessories such as feed, medicine, and artificial pots were also traded in shops in this area.
Automated Structural Health Monitoring System for Mitigating Building Collapse in Nigeria: A Mobile App Approach
Authors: Orodje Edemirukaye U. , Emmanuel Eden . , A Adegboyega Israel.
Published: May 2024

Abstract: Building collapses have become a distressing and recurring issue in Nigeria, necessitating urgent action to mitigate their occurrence. This paper introduces an innovative approach to address this challenge by developing an Automated Structural Health Monitoring System (ASHMS) utilizing a mobile app. Focusing on major cities like Lagos and Abuja, the proposed system employs strategically placed sensors to gather data from various structural elements of buildings. The collected information, encompassing seismic activity, vibrations, bending moments, shear forces, and other key parameters, is wirelessly transmitted to the cloud where it can then be accessed and visualized using mobile app. The system offers real-time insights into the structural integrity of buildings and provides early warnings, thereby contributing significantly to reducing the risk of building collapses. Key findings show that when incorporated into an automated Structural Health Monitoring (SHM) system, the user's mobile app offers essential structural insights, capturing values such as a 0.5-unit vibration level, 20 units of shear force, 50 units of bending moment, and an 89-degree vertical wall angle. The app's userfriendly interface improves the effectiveness of monitoring and overseeing structural health, in line with the overarching objective of promoting safety in construction practices.
Design and Implementation of Water PH Level and Turbidity Monitoring System
Authors: Ayodeji Busari Olukayode , Akeem Oni Adekunle , Olawale Fakunle Ayobami , Babatunde Afenifere Yusuf
Published: May 2024

Abstract: Building collapses have become a distressing and recurring issue in Nigeria, necessitating urgent action to mitigate their occurrence. This paper introduces an innovative approach to address this challenge by developing an Automated Structural Health Monitoring System (ASHMS) utilizing a mobile app. Focusing on major cities like Lagos and Abuja, the proposed system employs strategically placed sensors to gather data from various structural elements of buildings. The collected information, encompassing seismic activity, vibrations, bending moments, shear forces, and other key parameters, is wirelessly transmitted to the cloud where it can then be accessed and visualized using mobile app. The system offers real-time insights into the structural integrity of buildings and provides early warnings, thereby contributing significantly to reducing the risk of building collapses. Key findings show that when incorporated into an automated Structural Health Monitoring (SHM) system, the user's mobile app offers essential structural insights, capturing values such as a 0.5-unit vibration level, 20 units of shear force, 50 units of bending moment, and an 89-degree vertical wall angle. The app's userfriendly interface improves the effectiveness of monitoring and overseeing structural health, in line with the overarching objective of promoting safety in construction practices
Handwritten Digit Recognition
Authors: Mane Vijay , Sapate Ruta , Raut Samruddhi , Sonji Rohan , Khairnar Arya
Published: May 2024

Abstract: This paper presents a powerful Handwritten Digit Recognition System that combines a Graphical User Interface (GUI) based on Tkinter with Convolutional Neural Networks (CNNs). Our approach, which makes use of the MNIST dataset, includes careful data pretreatment to facilitate efficient CNN model training. Convolutional and pooling layers are included in the design of the model, and they are optimized with the Adam optimizer for higher learning rates. The evaluation's findings demonstrate excellent memory, accuracy, and precision. Furthermore, real-time digit drawing is made possible via an intuitive Tkinter GUI, which confirms the model's applicability. By showing the effectiveness of CNNs and offering an interactive platform for natural user interaction, the research provides a holistic solution to handwritten digit recognition. This method is promising for various uses in digit recognition scenarios, highlighting its flexibility and usefulness in real-world situations.
BioGPT: The ChatGPT of Life Sciences
Authors: Aniket Shelar
Published: May 2024

Abstract: In the medical field, pictures of the body are really important. But answering questions about these images to help diagnose problems is tricky. We made a new model called CGMVQA to help with this. It's good at sorting out different types of questions and finding answers. We use special techniques to understand written questions and make images clearer. We also made the model work faster by changing some settings. Our model is really good! It's the best one yet at answering medical image questions, like figuring out what's in a picture or matching words to images. This means doctors can use it to help with diagnoses. BioGPT is another helpful tool. It's great for scientists and teachers in biology. It gives quick and accurate answers to complex biology questions. As technology gets better, BioGPT will help us learn more about life and speed up biological research
Treating Wastewater from a Sugar Mill by Identifying and Removing Major Impurities Using the Eletrocoagulation: A Review
Authors: Srivastava Ms. Shubhi Shikhar
Published: May 2024

Abstract: The purpose of this paper is to cover the whole research occurs over a period of 2006 to 2020 through literature review. In this research we take the review on the removal of heavy metals from sugar industrial wastewater through electrocoagulation process. This work is done to see the effect of Electrocoagulation process on various properties through previous research completed during the above period
IoT Based Transformer Monitoring System using ESP-32
Authors: K Prof. Mr. Rajashekar.
Published: May 2024

Abstract: The integration of Internet of Things (IoT) technology with power transformer monitoring systems presents a significant advancement in electrical grid management. This paper explores the development of an IoT-based transformer monitoring system utilizing the ESP-32 microcontroller. The primary objective is to enhance the reliability and efficiency of transformers by providing real-time data on their operational status and health. The system leverages the ESP-32's capabilities in wireless communication and data processing to monitor critical parameters such as temperature, load current, voltage, and oil levels. Data is transmitted to a centralized cloud platform for analysis and visualization, enabling predictive maintenance and rapid response to potential failures. The proposed system promises to reduce downtime and maintenance costs while ensuring the longevity and optimal performance of transformers. This research highlights the design, implementation, and testing phases of the monitoring system, demonstrating its effectiveness through various case studies and field trials.
Visual Question Answering based Educational Tool for Medical Students using Cross-ViT
Authors: Somvanshi Ms. Soudamini
Published: May 2024

Abstract: This paper introduces an advanced approach to medical visual question answering (VQA) using the Cross-ViT architecture. The model employs a dual-branch method to extract multi-scale feature representations from images, utilizing cross-attention mechanisms to enhance visual features. By integrating Stacked Attention Networks (SAN) and leveraging semantic extraction from LSTM for textual data, the model shows significant performance improvements. Experiments on various biomedical VQA tasks demonstrate notable improvements in retrieval accuracy and image-text correlation. The study highlights the potential of medical VQA systems to transform healthcare delivery, improve diagnostic accuracy, and facilitate patient engagement and education, with promising future applications in telemedicine, surgery assistance, and integration with electronic health records