bluuebunny/crossref_metadata_2025 huggingface dataset:
The interplay among employee resilience, sustainable HRM and work engagement
Authors: Trunk Širca Nada , Riaz Zahid , Hamid Samreen , Žurauskė Greta , Stankevičiutė Živilė
Published: February 2024

BACKGROUND:

Given the unpredictable and turbulent times, the concept of employee resilience is gaining increased recognition within numerous organisations, as resilient employees excel in adapting to continually altering situations and recovering more quickly. Additionally, they demonstrate higher work engagement. Since employee resilience, as a personal resource, can be developed, the question is about the ways through which it can be enhanced. Similarly, when arguing that engaged employees are able to perform better, the next question pertains to the antecedents of work engagement. The previous literature provided support that human resource management (HRM) plays an important role in fostering employee resilience and work engagement. However, the dimension of sustainability in people management has been somehow neglected. The paper tries to close the gap and, drawing on the JD-R model, explores the relationship among three constructs.

OBJECTIVE:

The aim of the paper is to reveal the interplay among sustainable HRM, employee resilience and work engagement.

METHODS:

Quantitative study. The data were collected using a survey.

RESULTS:

The core results revealed a positive link between sustainable HRM and work engagement. Additionally, employee resilience serves as a mediator.

CONCLUSIONS:

As an underlying mechanism, employee resilience influences the relationship between HRM practices and work engagement.
First-In-Human Safety, Tolerability, and Pharmacokinetics of Single and Multiple Doses of AZP2006, A Synthetic Compound for the Treatment of Alzheimer’s Disease and Related Diseases
Authors: Verwaerde Philippe , Estrella Cecilia , Burlet Stéphane , Barrier Mathieu , Marotte Andrée-Anne , Clincke Gilbert
Published: February 2024

Background: Alzheimer’s disease (AD) and progressive supranuclear palsy (PSP) are major neurodegenerative conditions with tau pathology in common but distinct symptoms—AD involves cognitive decline while PSP affects balance and eye movement. Progranulin (PGRN) is a growth factor implicated in neurodegenerative diseases, including AD and PSP. AZP2006, a synthetic compound, targets tauopathies by stabilizing PGRN levels and reducing tau aggregation and neuroinflammation. Objective: Evaluate the safety, tolerability, and pharmacokinetics of AZP2006. Methods: A first-in-Human phase 1 study comprised a single ascending dose (SAD) and a multiple ascending dose study (MAD). The SAD study included 64 healthy male volunteers and tested singles oral doses of 3 to 500 mg of AZP2006 free base equivalent or placebo. In the MAD study, 24 healthy male volunteers were administered oral doses of 30, 60, and 120 mg per day of AZP2006 or placebo for 10 days. Results: No serious adverse events were observed. Clinical, biological, and electrocardiogram findings were non-relevant. Nineteen minor adverse events resolved before study completion. The safety profile indicated no specific risks. The multiple ascending dose study was halted, and the optional dose level of 180 mg was not performed due to high levels of M2 metabolite in plasma that necessitated additional preclinical evaluation of M2. Both AZP2006 and its M2 metabolite were quickly absorbed and widely distributed in tissues. Exposure increased more than proportionally with dose. Conclusions: AZP2006 had a favorable safety profile and was rapidly absorbed. Elevated M2 metabolite levels necessitated further studies to clarify excretion and metabolism mechanisms.
Impact of Suramin on Key Pathological Features of Sporadic Alzheimer’s Disease-Derived Forebrain Neurons
Authors: Culibrk Robert A. , Ebbert Katherine A. , Yeisley Daniel J. , Chen Rui , Qureshi Fatir A. , Hahn Juergen , Hahn Mariah S.
Published: February 2024

Background: Alzheimer’s disease (AD) is characterized by disrupted proteostasis and macroautophagy (hereafter “autophagy”). The pharmacological agent suramin has known autophagy modulation properties with potential efficacy in mitigating AD neuronal pathology. Objective: In the present work, we investigate the impact of forebrain neuron exposure to suramin on the Akt/mTOR signaling pathway, a major regulator of autophagy, in comparison with rapamycin and chloroquine. We further investigate the effect of suramin on several AD-related biomarkers in sporadic AD (sAD)-derived forebrain neurons. Methods: Neurons differentiated from ReNcell neural progenitors were used to assess the impact of suramin on the Akt/mTOR signaling pathway relative to the autophagy inducer rapamycin and autophagy inhibitor chloroquine. Mature forebrain neurons were differentiated from induced pluripotent stem cells (iPSCs) sourced from a late-onset sAD patient and treated with 100μM suramin for 72 h, followed by assessments for amyloid-β, phosphorylated tau, oxidative/nitrosative stress, and synaptic puncta density. Results: Suramin treatment of sAD-derived neurons partially ameliorated the increased p-Tau(S199)/Tau ratio, and fully remediated the increased glutathione to oxidized nitric oxide ratio, observed in untreated sAD-derived neurons relative to healthy controls. These positive results may be due in part to the distinct increases in Akt/mTOR pathway mediator p-p70S6K noted with suramin treatment of both ReNcell-derived and iPSC-derived neurons. Longer term neuronal markers, such as synaptic puncta density, were unaffected by suramin treatment. Conclusions: These findings provide initial evidence supporting the potential of suramin to reduce the degree of dysregulation in sAD-derived forebrain neurons in part via the modulation of autophagy.
Identification of microRNA-mRNA Regulatory Networks with Therapeutic Values in Alzheimer’s Disease by Bioinformatics Analysis
Authors: Kavoosi Sakine , Shahraki Ali , Sheervalilou Roghayeh
Published: February 2024

Background: Alzheimer’s disease (AD) is the most prevalent neurological disorder worldwide, affecting approximately 24 million individuals. Despite more than a century of research on AD, its pathophysiology is still not fully understood. Objective: Recently, genetic studies of AD have focused on analyzing the general expression profile by employing high-throughput genomic techniques such as microarrays. Current research has leveraged bioinformatics advancements in genetic science to build upon previous efforts. Methods: Data from the GSE118553 dataset used in this investigation, and the analyses carried out using programs such as Limma and BioBase. Differentially expressed genes (DEGs) and differentially expressed microRNAs (DEmiRs) associated with AD identified in the studied areas of the brain. Target genes of the DEmiRs identified using the MultiMiR package. Gene ontology (GO) completed using the Enrichr website, and the protein-protein interaction (PPI) network for these genes drawn using STRING and Cytoscape software. Results: The findings introduced DEGs including CTNNB1, PAK2, MAP2K1, PNPLA6, IGF1R, FOXL2, DKK3, LAMA4, PABPN1, and GDPD5, and DEmiRs linked to AD (miR-106A, miR-1826, miR-1253, miR-10B, miR-18B, miR-101-2, miR-761, miR-199A1, miR-379 and miR-668), (miR-720, miR-218-2, miR-25, miR-602, miR-1226, miR-548K, miR-H1, miR-410, miR-548F2, miR-181A2), (miR-1470, miR-651, miR-544, miR-1826, miR-195, miR-610, miR-599, miR-323, miR-587 and miR-340), and (miR-1282, miR-1914, miR-642, miR-1323, miR-373, miR-323, miR-1322, miR-612, miR-606 and miR-758) in cerebellum, frontal cortex, temporal cortex, and entorhinal cortex, respectively. Conclusions: The majority of the genes and miRNAs identified by our findings may be employed as biomarkers for prediction, diagnosis, or therapy response monitoring.
Query reformulation system based on WordNet and word vectors clusters
Authors: Jumde Amol , Keskar Ravindra
Published: February 2024

With tremendous evolution in the internet world, the internet has become a household thing. Internet users use search engines or personal assistants to request information from the internet. Search results are greatly dependent on the entered keywords. Casual users may enter a vague query due to lack of knowledge of the domain-specific words. We propose a query reformulation system that determines the context of the query, decides on keywords to be replaced and outputs a better-modified query. We propose strategies for keyword replacements and metrics for query betterment checks. We have found that if we project keywords into the vector space of word projection using word embedding techniques and if the keyword replacement is correct, clusters of a new set of keywords become more cohesive. This assumption forms the basis of our proposed work. To prove the effectiveness of the proposed system, we applied it to the ad-hoc retrieval tasks over two benchmark corpora viz TREC-CDS 2014 and OHSUMED corpus. We indexed Whoosh search engine on these corpora and evaluated based on the given queries provided along with the corpus. Experimental results show that the proposed techniques achieved 9 to 11% improvement in precision and recall scores. Using Google’s popularity index, we also prove that the reformulated queries are not only more accurate but also more popular. The proposed system also applies to Conversational AI chatbots like ChatGPT, where users must rephrase their queries to obtain better results.
Hybrid image encryption using advanced least significant bit algorithm, chaotic maps and DNA encoding for digital healthcare
Authors: Selvakumar B. , Abinaya P. , Lakshmanan B. , Sheron S. , Smitha Rajini T.
Published: February 2024

Security and privacy are major concerns in this modern world. Medical documentation of patient data needs to be transmitted between hospitals for medical experts opinions on critical cases which may cause threats to the data. Nowadays most of the hospitals use electronic methods to store and transmit data with basic security measures, but these methods are still vulnerable. There is no perfect solution that solves the security problems in any industry, especially healthcare. So, to cope with the arising need to increase the security of the data from being manipulated the proposed method uses a hybrid image encryption technique to hide the data in an image so it becomes difficult to sense the presence of data in the image while transmission. It combines Least Significant Bit (LSB) Algorithm using Arithmetic Division Operation along with Canny edge detection to embed the patient data in medical images. The image is subsequently encrypted using keys of six different chaotic maps sequentially to increase the integrity and robustness of the system. Finally, an encrypted image is converted into DNA sequence using DNA encoding rule to improve reliability. The experimentation is done on the Chest XRay image, Knee Magnetic Resonance Imaging (MRI) image, Neck MRI image, Lungs Computed Tomography (CT) Scan image datasets and patient medical data with 500 characters, 1000 characters and 1500 characters. And, it is evaluated based on time coefficient of encryption and decryption, histogram, entropy, similarity score (Mean Square Error), quality score (peak signal-to-noise ratio), motion activity index (number of changing pixel rate), unified average changing intensity, image similarity score (structure similarity index measurement) between original and encrypted images. Also, the proposed technique is compared with other recent state of arts methods for 500 characters embedding and performed better than those techniques. The proposed method is more stable and embeds comparatively more data than other recent works with lower Mean Square Error value of 4748.12 which is the main factor used to determine how well the data is hidden and cannot be interpreted easily. Also, it achieved a Peak Signal-Noise Ratio (PSNR) value of 71.34 dB, which is superior than other recent works, verifying that the image quality remains uncompromising even after being encrypted.
Prediction of PM2.5 with a piecewise affine model considering spatial-temporal correlation
Authors: Ren Zhenxing , Zhang Jia , Zhou Yu , Ji Xinxin
Published: February 2024

Over the past several decades, several air pollution prevention measures have been developed in response to the growing concern over air pollution. Using models to anticipate air pollution accurately aids in the timely prevention and management of air pollution. However, the spatial-temporal air quality aspects were not properly taken into account during the prior model construction. In this study, the distance correlation coefficient (DC) between measurements made in various monitoring stations is used to identify appropriate correlated monitoring stations. To derive spatial-temporal correlations for modeling, the causality relationship between measurements made in various monitoring stations is analyzed using Transfer Entropy (TE). This work explores the process of identifying a piecewise affine (PWA) model using a larger dataset and suggests a unique hierarchical clustering-based identification technique with model structure selection. This work improves the BIRCH (Balanced Iterative Reducing and Clustering using Hierarchies) by introducing Kullback-Leibler (KL) Divergence as the dissimilarity between clusters for handling clusters with arbitrary shapes. The number of clusters is automatically determined using a cluster validity metric. The task is formulated as a sparse optimization problem, and the model structure is selected using parameter estimations. Beijing air quality data is used to demonstrate the method, and the results show that the proposed strategy may produce acceptable forecast performance.
Peanut maturity detection assessment using cross-layer multi-perception neural network based on hyperspectral sensory image feature observation
Authors: Balasubramaniyan M. , Navaneethan C.
Published: February 2024

Artificial intelligence has played a significant role in the expansion of the agriculture industry in recent times by evaluating data and making recommendations for better production. An automated method for determining significant information in seed quality analysis is the peanut maturity analysis in image processing through sensory images. The majority of the time, changes in picture intensity result in feature independence and precise maturity level determination. Therefore, agricultural precision in identifying essential features is low. To address this issue, we suggest employing a Cross-Layer Multi-Perception Neural Network (CLMPNN) for hyperspectral sensory image feature observation in order to determine the optimal assessment of peanut maturity in agriculture. The sensing unit first determines the angular cascade projection’s (ACP) structural dependencies for the peanut pod structure. With the aid of color-intensive saturation, the entity projection of pod growth is found using the Slicing Fragment Segmentation (SFS) technique. This generates the various entity variations by integrating relational maturity and non-maturity findings with spectral values. Next, cross-layer multi-perception neural networks are trained with hyperspectral values optimized by LSTM to distinguish between mature and immature pods. In comparison to the other system, this one does exceptionally well in precision agriculture, with a 98.6 well recall rate, a 97.3% classification accuracy, and a 98.9% production accuracy.
A Retrospective Comparison of Multiple Approaches to Anatomically Informed Contact Selection in Subthalamic Deep Brain Stimulation for Parkinson’s Disease
Authors: Brandt Gregor A. , Stopic Vasilija , van der Linden Christina , Strelow Joshua N. , Petry-Schmelzer Jan N. , Baldermann Juan Carlos , Visser-Vandewalle Veerle , Fink Gereon R. , Barbe Michael T. , Dembek Till A.
Published: February 2024

Background:

Conventional deep brain stimulation (DBS) programming via trial-and-error warrants improvement to ensure swift achievement of optimal outcomes. The definition of a sweet spot for subthalamic DBS in Parkinson’s disease (PD-STN-DBS) may offer such advancement.

Objective:

This investigation examines the association of long-term motor outcomes with contact selection during monopolar review and different strategies for anatomically informed contact selection in a retrospective real-life cohort of PD-STN-DBS.

Methods:

We compared contact selection based on a monopolar review (MPR) to multiple anatomically informed contact selection strategies in a cohort of 28 PD patients with STN-DBS. We employed a commercial software package for contact selection based on visual assessment of individual anatomy following two predefined strategies and two algorithmic approaches with automatic targeting of either the sensorimotor STN or our previously published sweet spot. Similarity indices between chronic stimulation and contact selection strategies were correlated to motor outcomes at 12 months follow-up.

Results:

Lateralized motor outcomes of chronic DBS were correlated to the similarity between chronic stimulation and visual contact selection targeting the dorsal part of the posterior STN (rho = 0.36, p = 0.007). Similar relationships could not be established for MPR or any of the other investigated strategies.

Conclusions:

Our data demonstrates that a visual contact selection following a predefined strategy can be linked to beneficial long-term motor outcomes in PD-STN-DBS. Since similar correlations could not be observed for the other approaches to anatomically informed contact selection, we conclude that clear definitions and prospective validation of any approach to imaging-based DBS-programming is warranted.
The Impact of Motor, Non-Motor, and Social Aspects on the Sexual Health of Men Living with Parkinson’s Disease
Authors: Souza Bruno Rafael Antunes , Nóbrega Kátia Cirilo Costa , Silva Bruno Eron de Almeida da , Gonçalves Raissa Amorim , Martins Thalyta Silva , Santos Geovanna Ferreira , Frazão André Helene , Roque Antonio Carlos , Nascimento Isaíra Almeida Pereira da Silva , Piemonte Maria Elisa Pimentel
Published: February 2024

Background:

Sexual health (SH) is influenced by several biological, mental, and social factors that may be negatively impacted by Parkinson’s disease (PD). Despite its prevalence and relevance for quality of life, the factors that affect SH in men with PD (MwPD) are still poorly understood.

Objectives:

To investigate the impact of motor, non-motor, and social aspects on the SH in MwPD.

Methods:

We conducted a cross-sectional study of 80 men (mean-age 53.55±10.8) in stages 1–3 of Hoehn and Yahr classification (H&Y), who reported having an active sex life in the last six months. The following data were collected for each person: 1) Demographic and clinical features; 2) global cognitive capacity (T-MoCA); 3) Non-Motor Aspects of Experiences of Daily Living (MDS-UPDRS, part I); 4) Motor Aspects of Experiences of Daily Living (MDS-UPDRS, part II); 5) Fatigue (FSS); 6) Self-esteem (RSES); 7) Sleep disorder (PDSS); 8) Couple relationship quality (DAS); 9) Depressive signals (BDI); 10) Short-term sexual health by International Index of Erectile Function (IIFE); and 11) Long-term sexual health by Sexual Quotient-Male (SQ-M).

Results:

Our results showed that although several motor, non-motor, and social factors were correlated with SH, only motor disability levels in daily living predicted short-term SH and erectile dysfunction, while only depression predicted long-term SH in MwPD. Age, disease onset, and medication daily dosage were not correlated with SH.

Conclusions:

Our findings confirm that multidimensional factors can affect the SH of MwPD and emphasize that only a multi-professional team can offer proper care to improve SH in MwPD.
Geese jellyfish search optimization trained deep learning for multiclass plant disease detection using leaf images
Authors: Ranjitha Bandi , A K Sampath
Published: February 2024

Accurate and early detection of plant disease is significant for stable and proper agriculture and also for preventing the unwanted waste of financial and other possessions. Hence, a new technique is devised in this work, where geese jellyfish search optimization trained deep learning is used for multiclass detection of plant disease utilizing plant leaf images. At first, the input leaves of the plant image acquired from the database are pre-processed utilizing the Kalman filter. Then, the plant leaf segmentation is done by LinK-Net, where the training function of LinK-Net is processed by the proposed geese jellyfish search optimization, which is formed using wild geese migration optimization and jellyfish search optimizer. Then, image augmentation is carried out and then the feature extraction is done. Consequently, the classification of plant leaf type is processed, which is employed by Deep Q-Network (DQN), which is structurally adapted by the proposed geese jellyfish search optimization. At last, multi-label plant leaf disease is detected based on DQN. Moreover, the proposed geese jellyfish search optimization based DQN obtains an accuracy of 89.44%, true positive rate of 90.18%, and false positive rate of 10.56% respectively.
Hyperbilirubinemia screening and treatment in neonates born prior to 35 weeks of gestation
Authors: Khan S. , Coo H. , Khurshid F.
Published: February 2024

BACKGROUND:

Guidelines on when to screen for neonatal hyperbilirubinemia apply to infants born at 35 weeks or later of gestation. It is unknown whether infants born earlier would benefit from similar guidelines. Our objective was to examine hyperbilirubinemia screening and phototherapy prescription among early preterm infants during the first 6 days of life.

METHODS:

We reviewed the charts of 193 infants born prior to 35 weeks of gestation who were admitted to a tertiary care NICU in Southeastern Ontario in 2018–2019. Information on total serum bilirubin (TSB) measurements over each 12-hour interval during the first six days of life and the treatment decision (no treatment, initiate, continue, or stop phototherapy) was extracted. We also examined what proportion of infants were prescribed phototherapy during each 12-hour interval.

RESULTS:

Of 1006 TSB measurements performed over the first 6 days of life, 605 were done to determine whether phototherapy should be initiated. Treatment was prescribed in 275 instances (45%). A higher proportion of infants born prior to 28 weeks of gestation required phototherapy in the first 12 hours of life (37%) compared to those born at 28–32 weeks (20%) and 33–34 weeks (5.7%).

CONCLUSIONS:

Our results suggest that TSB measurements are often poorly timed to detect treatment need in infants born prior to 35 weeks of gestation. This unnecessarily increases the risk of complications from phlebotomy and is an ineffective use of health care resources. There is a need to develop guidelines to optimize hyperbilirubinemia screening among early preterm infants.
Influence of environmental variables on students’ cognitive performance in indoor higher education environments
Authors: Lucas Ruan Eduardo Carneiro , da Silva Luiz Bueno , de Souza Erivaldo Lopes , Leite Wilza Karla dos Santos , da Silva Jonhatan Magno Norte
Published: February 2024

BACKGROUND: Educational environments can have environmental conditions that are incompatible with the needs of students, compromising their well-being and affecting their performance. OBJECTIVE: To identify the environmental variables that influence the performance of university students and measure this influence through an experiment in indoor environments. METHODS: The study applied an experimental methodology for three consecutive days in seven educational environments located in different regions of Brazil, measuring the environ-mental conditions, the students’ perception of the environment, and their cognitive performance. The impact of environmental variables and environmental perception on student performance was analyzed using Generalized Linear Models and a Structural Equation Model. RESULTS: Students who took the test at air temperatures between 22.4°C and 24.7°C had a 74.20% chance of performing better than those outside this range. Air temperatures between 26.2°C and 29°C were associated with an 86% chance of taking less time to complete the test. High illuminance levels increased the chance of taking longer to answer the test by 41.7%. CONCLUSIONS: Three environmental variables (relative humidity, lighting and air temperature) and two perceptual dimensions (light and thermal perception) directly influence student performance.
Meaningful inclusion of people living with HIV as a model for workplace policies: Key findings from the project PEER study
Authors: Harris Gregory E. , Watson James R. , Li Alan Tai-Wai , Ibáñez-Carrasco Francisco , Muchenje Marvelous , Demetrakopoulos Ana Sophia , McGee A. , Chambers Lori , Gahagan Jacqueline , Ceranto Andre , Cumby Chris , Liddell Michael
Published: February 2024

BACKGROUND: As a large number of people live with HIV, it is worthwhile to examine the integration of this group in the workplace. OBJECTIVE: To investigate how the operationalization of GIPA/MEPA supports workplace policies and practices for PLHIV. The study aims to explore what is being offered to support PLHIV in community-based agencies and what can be done to enhance the offerings. METHODS: For this community-based research, 2 bilingual online surveys were sent to 150 Canadian organizations that work closely with PLHIV or offer support to them. One of the surveys was for Executive Directors of these organizations while the other was sent to peers; i.e. PLHIV whose job is to offer services to PLHIV. Questions in the surveys varied between open-ended, binary, and Likert. RESULTS: GIPA/MEPA are implemented in most organizations and Executive Directors affirmed that PLHIV and their impacts on the workplace are valued. There is a consensus among Executive Directors that formal support is provided but most respondents argued that this support is not specific for PLHIV. More than half of respondents were either unaware or uncertain about the existence of informal support. Peer-employees claimed that one of the challenges of disclosing HIV to receive peer support is that they may face stigma. CONCLUSION: The application of GIPA/MEPA results in positive outcomes in the workplace. The study emphasizes the need to facilitate access to informal support.
Quantum Network Communication Based on Voice-Control Technology
Authors: Yibin Xiang
Published: February 2024

Quantum network communication based on the characteristics of quantum entanglement has been realized. However, it is still difficult to realize a multi-horizontal and multi-vertical global network system, and there are few relevant literature and reports on exploring the interrelationship between quantum systems and people and everything. This paper studies the possibility of communicating with a life body and a non-life body through a human's voice in the quantum induction network. This paper discusses the relationship between thinking consciousness and entangled quantum systems and puts forward the following point of view: the weak magnetic field generated by the quantum spin wave interacts with other quanta to generate induction waves, and then the induction waves are connected to form a quantum induction network to transmit voice-controlled information. It is proposed that the sound wave of a human can resonate with the spin wave generated by a certain quantum and be instantaneously transmitted to another quantum with an entanglement relationship with the first quantum, no matter how far they are from each other. This is to achieve the purpose of communication between humans and other life bodies, non-life bodies. A corresponding research plan is designed, taking the control of a remote device through people's voices as an example to conduct a thought experiment, and giving specific application scenarios to prove its feasibility and practicability. The analysis discusses the significance, based on the quantum entanglement effect, of the use of voice control technology to communicate and to realize the interconnection of all things.
Misdiagnosis of Dengue Fever as Malaria and Typhoid Fever and Their Co-infection in Rural Areas of Southwest Nigeria
Authors: Okoror Lawrence , Bankefa Emmanuel Olufemi , Ukhureigbe Oluchi Mariam , Ajayi Evelyn Olubumi , Osanyilusi Samuel , Ogeneh Bryan
Published: February 2024

BACKGROUND: Misdiagnosis of dengue as malaria and typhoid fever can be a major source of public health concern in large areas of Nigeria, as dengue is not routinely screened for in health care settings and clinicians have to depend on empirical treatment which may compromise patients’ health. As studies have reported a high prevalence of the dengue virus in areas of Nigeria, dengue and malaria have similar symptoms, the same arthropod vector, and the same mode of transmission, coupled with differential diagnosis. Though typhoid fever differs from dengue and malaria by not having an arthropod vector and having a different mode of transmission, it shares a differential diagnosis with dengue and malaria, which makes misdiagnosis possible. The misdiagnosis of these three diseases has since become a major concern towards therapeutic administration because of their co-occurrence in many cases and the same location.

METHODS: A total of 1074 samples were taken from rural health facilities in Southwest Nigeria and tested for malaria and typhoid fever. Those testing positive were tested for the DENV NS1 protein, DENV IgM, DENV IgG, and RT-PCR.

RESULTS: Of the 1074 samples, 714 were positive for malaria, and 333 were positive for typhoid fever. From this, 315 (29.4%) were positive for DENV NS1. Fifty (6.7%) and 13 (3.9%) of the 714 malaria samples and 333 typhoid samples, respectively, had dengue fever co-infection. Co-infection of the three types of pathogens occurred in 5 (0.5%) of the samples. A total of 54 (5%) DENV cases were wrongly diagnosed as malaria, while 14 (1.3%) DENV cases were wrongly diagnosed as typhoid.

CONCLUSION: Conclusively, there were a significant number of misdiagnosed cases of DENV as either malaria or typhoid, hence it is recommended to include DENV screening in routine hospital tests, especially in cases of malaria and typhoid negative by rapid diagnostic testing.
Regional digital platform for the agro-industrial complex: efficiency assessment
Authors: Kivarina Mariya Valentinovna
Published: February 2024

Abstract. Currently, the need for the formation of a digital economy and society is recognized at all levels of government, and digital technologies are considered as one of the key drivers of sustainable economic development. In accordance with the departmental project “Digital Agriculture”, the urgent task of the development of the agro-industrial complex (AIC) is a strategic breakthrough through the introduction of digital technologies that can significantly increase the effectiveness of most production processes. The purpose of the article: the development of methodology and the development of a methodology for a comprehensive assessment of the effectiveness of the implementation and functioning of the regional digital platform of the agro-industrial complex. Research methods: scientific and theoretical generalization of existing approaches and methods for assessing key parameters of digitalization processes in the agro-industrial sector. The statistical data for Russia and the Novgorod Region for 2022, as well as the planned and reporting indicators of the priority regional project “Digital Agriculture” used in the author's methodology based on the conceptual triad of economic efficiency assessment, serve as an information source of the study. The scientific novelty of the research lies in the formation of an original approach to the development of tools and methods for the comprehensive assessment of digital transformations in the agro-industrial complex, which allow identifying directions for the growth of economic and managerial efficiency of the functioning of agricultural industries in a new digital formation. Research results. The author’s scheme of the regional digital platform of the agro-industrial complex is presented on the example of the Novgorod region, the methodology for assessing the allocation benefits from the consistent involvement of all subjects of the agro-industrial complex in a single digital space is developed, taking into account the specifics of their activities and readiness for digital transformation. A methodology has been developed for a comprehensive assessment of the effectiveness of the implementation and functioning of the regional digital platform, which allows timely identification of “weak links” in individual modules and elements of the digital platform of the agro-industrial complex and promptly eliminate them, which can be especially useful for making strategically correct management decisions.
Microservices implementation using Rest API for MSMEs based on Raspberry PI
Authors: Ningsih Norma , Muna Nailul , Nadziroh Faridatun
Published: February 2024

Micro, Small and Medium Enterprises (MSMEs) are business activities that are able to expand employment opportunities and provide broad economic services to the community. The role of digital technology has increased significantly to assist activities and transactions via the internet, whether accessed via web, mobile or desktop technology. In carrying out their business processes, MSMEs need access to other services such as banks for payment processing. Apart from that, multiplatform applications are needed to make it easier for customers to access the services provided by MSMEs. Based on the above needs, an MSME back-end application was developed using the REST API web service architecture which runs on a Raspberry PI which functions as a server for computing and data storage processes. The system development method uses the waterfall method with the Golang programming language. The system developed has been tested using the Insomnia tool for the REST API that has been created and the Vegeta tool as HTTP load testing. The results obtained in this test using the POST and GET methods were that for a number of requests of 25 and 150 transactions were 100% successful, however for a number of requests of 500 there were 32% failed transactions. Power consumption increases according to the number of accesses to the system with the average value in each scenario being 4.24, 4.54, 4.7 watts.
Development of Folk Games as an Android-Based Game for Advancement Riau Malay Culture
Authors: Setiawan Panji Rachmat , Syefriani Syefriani , Wandri Rizky , Pangestu Firly Bagdja
Published: February 2024

Indonesia is a heterogeneous country and has thirty-four provinces from Sabang to Merauke. There are many cultures in Indonesia. Every province has their different culture from others. One of the existing provinces in Indonesia is Riau province. Riau is a province that is located in Sumatera Island. Riau province has culture in folk games. A folk game is a game played traditionally that is owned by people and inherited to the next generation. Nowadays, the younger generation love to play alone using smartphone rather than played together in the folk game. So that the Author conduct research introduction to folk games to young generation by developed game that is played in smartphone, in this case is Android. Game introduces four folk games, which are adu biji para, statak, gasing, and congklak. All these folk games are found in Riau province. The game was developed using Game Development Life Cycle (GDLC) methodology that has six stages and every stage has output for the next stage. This research uses qualitative methodology in collected data that used in this research.
Vitamin D Deficiency in Pregnancy: A Systematic Review
Authors: Arrahma Fannysha , Liberty Iche Andriany
Published: February 2024

Vitamin D deficiency (VDD) is a common problem in reproductive-aged women and has become a major public health problem worldwide. Adverse health outcomes such as preeclampsia, low birthweight, neonatal hypocalcemia, poor postnatal growth, bone fragility, and increased incidence of autoimmune diseases have been linked to low vitamin D levels during pregnancy and infancy. A systematic literature search was performed on September 6th – 21st, 2022 using respected database. The identified articles were screened using the chosen eligibility criteria. Literature selection was performed with rest time restriction from January 1, 2017, and September 22, 2022 and restricted to only published in English articles. Three papers were evaluated in full-text after duplicates were removed. Tammo et al, Mansur et al and Moralez et al were the three studies that remained following full-text screening utilizing eligibility criteria and quality assessment showing a significant proof regarding this review. Vitamin D deficiency had wide variety of effects in pregnancy as it may increased risk of multisystem disorders in pregnancy such as preeclampsia, low birth weight in neonates, insulin resistance, gestational diabetes mellitus (GDM), and a higher risk of primary cesarean delivery. Optimal level of 30 ng/mL or more before conception and throughout the entire pregnancy with different dosages available, avoiding levels below 20 ng/ml.
Case Report: Unilateral Secondary Spontaneous Pneumothorax caused by Pulmonary Tuberculosis in a Heavy Smoker
Authors: Mustofa Syazili , Antoni Antoni
Published: February 2024

Pneumothorax is an accumulation of air between the lungs and the chest wall that can occur either spontaneously or in conjunction with an underlying lung disease (primary spontaneous pneumothorax; secondary spontaneous pneumothorax, respectively). The primary manifestations of this ailment are chest discomfort and dyspnea. Secondary spontaneous pneumothorax is a common and potentially life-threatening consequence of pulmonary tuberculosis (TB) that frequently occurs in clinical settings and requires prompt and effective treatment. This case report seeks to comprehend the underlying mechanisms of spontaneous pneumothorax resulting from tuberculosis and effectively diagnose and treat this condition. A 37-year-old male presented to the emergency department at Abdoel Moeloek Regional General Hospital in Lampung Province with worsening dyspnea, followed by coughing and right-sided chest pain. By doing a thorough analysis of the patient's medical history, performing a physical examination, and conducting other tests, it was determined that the patient is suffering from a right secondary spontaneous pneumothorax, which is a result of pulmonary tuberculosis. The patient had WSD installation management and thereafter received hospitalization for symptomatic therapy and antibiotic treatment.
Pengaruh Literasi Keuangan Terhadap Pola Konsumsi Petani Jagung di Kabupaten Sumenep
Authors: Agustin Puteri Nanda Nuriyantika , Wijayanti Dian Eswin , Priyanto Moh. Wahyudi
Published: February 2024

A low level of financial literacy can encourage consumptive behavior, so education regarding financial literacy is needed to suppress this consumptive behavior. The aim of the research is to find out the influence of financial literacy on the consumption patterns of corn farmers in Sumenep Regency. The method used is quantitative with multiple linear regression analysis tools. The research was conducted with a sample of 80 farmers in Sumenep Regency. Data collection was carried out directly with a questionnaire so that the data used was primary data. The research results show that financial literacy has an influence on the consumption patterns of corn farmers, but there needs to be efforts to increase financial literacy so that farmers understand better managing their finances so that farmers' consumption patterns become better. This research has implications for improving farmers' welfare in managing finances and good consumption patterns. Apart from being useful for farmers, this research is also useful for students as a reference in carrying out assignments and researchers who want to carry out related research.
Knowledge and Attitudes in Pain Relief Management Among Private Hospital Nurses
Authors: Yee Bit-Lian  , Rosnida Abu Bakar  , Puteri-AdistiJamil
Published: February 2024

For both nurses and patients, effective pain relief management is critical. Relieving patients’ pain and suffering are considered the responsibility of nurses. A cross-sectional descriptive study was conducted. The Nurses Knowledge and Attitude Regarding Pain Questionnaire was used to measure the nurses’ level of knowledge and attitude toward pain assessment and management. The results showed a lack of knowledge among nurses regarding pain relief management. It started with the fundamental question regarding the usage of the vital sign as reliable indicators of the intensity of a patient’s pain. 90.6% (145) of the nurses answered ‘True’, but the correct answer was ‘False’, and only 9.4% (15) of the nurses gave the correct answer. We found out that 60% (96) of nurses believed that patients should not receive opioid treatment even if they are in pain. This study discovered that the level of knowledge on pain relief management among nurses in the private hospital was inadequate. The patients should receive appropriate treatment to relieve the pain regardless of their history of substance abuse. This perception on the nurses could prevent some of the patients from their right to being pain-free.
The Effect of Prolanis Exercise on Reducing Blood Sugar Levels
Authors: Faswita Wirda , Leny Suarni  , Anggi Lauviga
Published: February 2024

Diabetes mellitus (DM) is a dangerous disease because it causes many complications. Prolanis Exercise is one of the physical activities for people with Diabetes Mellitus (DM) to lower blood glucose levels. This study aims to determine the effect of prolanis exercise on reducing patients' blood glucose levels in the working area of the southern Namu Ukur Health Center. The Quasi Experiment method with a one-group pretest-posttest design is used as a research design. This study also used a purposive sampling method with 28 respondents. Prolanis Exercise exercises were used as the data collection tool. The results showed that there was an effect of prolanis exercise on decreasing blood glucose levels in people with Diabetes Mellitus (DM) in the working area of the Namu Ukur Health Center with a value of 0.004 (α<0.05). Before treatment, blood sugar levels were an average of 270 mg/dL and 257 mg/dL after the treatment. Patients with Diabetes Mellitus (DM) should carry out regular physical activities in routine such as prolanis exercise.
The Coherence of Smoking Behavior Towards Acute Respiratory Infection Cases in Toddlers
Authors: Sharfina Dirayati , Fauziah
Published: February 2024

Preschool children have weak and imperfect immunity systems making them prone to ARI (Acute Respiratory Infection) diseases. One of the causes is family's member smoking behaviour which causes the number of ARI cases in preschool children. This research aims to determine the coherence of family members' smoking behaviour towards ARIs cases in children aged 3-5 years old. It used a cross-sectional study design and purposive sampling techniques with 34 children. The population of this study is the preschool children within the working area of Kampung Baru Community Health Center, Tanjung Balai city. The research results showed that the smoking behaviour of the family members is categorized as heavy smokers. The ARI cases showed that most children prone to the ARI diseases. Also, the significant coherence of family members' smoking behaviour towards ARI cases in children aged 3-5 years old showed a value of p - 0.0001 < a = 0.05. This research suggests that the Kampung Baru Community Health Center should keep providing health education and socialize the family to not smoke around the children to prevent ARI cases to them.
Factors Affecting Intention to Stay Among Nursing Staff at Selected Private Hospitals
Authors: Nur Adnin Ariffin  , Yee Bit-Lian
Published: February 2024

Many factors in the healthcare industry affect the nurse's work, but some major factors influence them to leave the organisation. Nurse retention is one of the major challenges faced by the healthcare industry, due to which the turnover rate of nurses increases. The healthcare industry is growing daily and needs more nurses, but due to the exhausting labour and challenging work, most people leave the industry early and look for better opportunities. This study aimed to determine the factors affecting nursing retention and turnover in a selected private hospital in Selangor, Malaysia. This descriptive, cross-sectional quantitative study involved 133 nursing staff through a self-administered survey questionnaire to know the respondents' viewpoints; the participants gave mixed responses about staying and leaving the organisation. However, from their statements, it is clear that they wanted the industry to improve the training and development process, work-life balance and reward and recognition policy. The high turnover rate of nurses will cause detrimental effects on patient care if nurses' lack of training and development influence nurses to leave the organisation.
Early Detection of Children's Emotional and Behavioral Problems during the Covid-19 Pandemic
Authors: Muhaini Atmayana Purba  , Wardiyah Daulay
Published: February 2024

Children's emotional and behavioral problems differ from one another with the same background. Both decrease children's interaction, learning process, and behavior. The indicators of emotional problems verily affect children's behavior which causes them to be vulnerable in facing daily life obstacles. In terms of the learning process, they will have difficulty interacting and controlling their emotions and behavior. This study aims to identify emotional and behavioral problems of school-age children from SDN 060866 Medan Timur during the Covid-19 pandemic. This study used quantitative research with descriptive methods. Non-probability sampling using a total sampling technique was conducted with a total sample of 97 people. The sampling results showed that 52.6% of students sit in class VI, 51.5% are aged 12 years old, 61.9% are male, 56.7% are Javanese, 88.7% students with high-school graduated fathers, and 77.3% of students with high-school graduated mothers. The study's results indicate that 71.1% of students with emotional problems are in the borderline category and 71.1% in the normal category of behavioral problems. Therefore, it is imperative to detect children's emotional and behavioral problems early. It will prevent further problems so the children can grow and develop properly.
Care Behavior on Postmenopausal During Covid-19 Pandemic in The Medan Johor District Area
Authors: Siti Saidah Nasution
Published: February 2024

Reproductive health issues, especially maternal and infant health, are a priority and require special care during the COVID-19 pandemic. One of the groups at high risk of contracting the COVID-19 virus is people in the elderly age group, especially mothers in the menopause stage, which is categorized as a comorbid group. An assessment of the knowledge and attitudes of postmenopausal mothers in health care is important to maximize action in the treatment and prevention of disease. This type of research is a descriptive study that aims to describe behaviors, especially the knowledge and attitudes of postmenopausal mothers. The population of all menopausal mothers in the Medan Johor sub-district with a sample of 128 people. Data collection was carried out using questionnaires, which consisted of demographic data, and knowledge and attitude data. Univariate data analysis using frequency distribution and presentation. The results of the study found that the knowledge of postmenopausal mothers was in a low category, namely around 48%, and negative attitudes of 52% related to health care during the COVID-19 pandemic.