bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing the Performance of Domain-Specific Models for Plant Leaf Disease Classification: A Comprehensive Benchmark of Transfer-Learning on Open Datasets
Authors: Richter David J. , Kim Kyungbaek
Published: December 2024

Agriculture and its yields are indispensable to human life all over the planet. It is an essential part of many countries’ economies and without it the world’s population can not be fed. As such, guaranteeing harvest with minimal loss is a primary objective. One factor that heavily contributes to loss in crop harvesting are plant diseases, which often affect crops and their leaves. A plant’s leaf often carries symptoms that indicate whether or not a plant is infected, but traditional manual approaches to identifying these symptoms are tedious and laborious. Additionally the process of manually spotting diseases can be rather slow in a field where urgency and fast identification are very important. The sooner a disease gets identified, the sooner countermeasures can be carried out. To improve both the accuracy with which diseases can be recognized, as well as increasing the speed at which this can be carried out, deep learning methods have proven useful. Recently the field of plant disease recognition has seen a big uptick in the application of various convolutional neural network (CNN) models for the automatic classification of diseases. There exist many different highly-capable models at this time. There also exists a range of plant leaf disease classification image datasets containing different plants and diseases. However, there seems to be no consensus on which model is best suited to handle this task and the same can be said for the datasets. To the best of our knowledge, prior work has used a wide range of different models with different datasets in the way of feasibility studies, but without comprehensively identifying which models are best used in this field. In this work we test a large number of state-of-the-art CNN models on a wide range of openly available datasets to asses their performance and to identify models that are best suited for this field, in order to be able to built better models, and even new foundation models, based on these findings. 23 models have been tested on 18 datasets, both using transfer-learning and transfer-learning with additional fine-tuning added, for 5 iterations each. Transfer-learning allows models to utilize knowledge obtained from other previous tasks to be used for new tasks, reducing training time and lowering the need for training data. The experiments result in a total of 4,140 having been trained for this work. All results will be compared and contextualized in order to find the best models architecture for plant leaf disease classification as well as assessing which datasets are well suited for this task.
TVET as a catalyst for productivity growth in the textile and garment sector: evidence from Ethiopian textile and garment sector, pre-war context
Authors: Wubet Gebretsadik Gebru
Published: December 2024

Background: Productivity is essential for economic growth and competitiveness. This study assesses the effect of strategic organizational changes and vocational skills development programs on productivity in the textile and garment industry in Ethiopia by using the Primary Transformation Model.
Objective: the objective of this study is to quantify the effects of strategic decisions and implementation practices on productivity, providing empirical evidence and practical insights for enhancing productivity in the sector.
Methods: A multiple linear regression analysis was conducted to assess the impacts of various factors on productivity. The PTM framework was employed to systematically analyze the relationships between competitive priorities, strategic decisions and implementation practices. Findings: the analysis revealed that strategic organizational changes significantly improve productivity: β = 1.546, p < 0.001. Further, investments in pre-employment VSD programs for middle-skilled employees (β = 2.110, p < 0.05) and higher-skilled employees (β = 1.497, p < 0.05), and in-employment VSD programs for higher-skilled employees with two programs (β = 1.305) and three programs (β = 1.231), p < 0.05, lead to significant gains in productivity.
Conclusions and Recommendations: These results bring out clearly the importance of strategic decisions and implementation practices for driving productivity and, hence, provide relevant insights for policymakers and industry stakeholders who seek to advance productivity and competitiveness in the sector.
Impact of aging endocrine milieu on prostate stromal-epithelial interactions
Authors: Nagesh A. Muni , Choudhury Ankit Roy , Devi Nandana , Gupta Surabhi , Chaturvedi PradeepKumar , Kumar Neeraj , Pandey Deepak
Published: December 2024

The interplay between stromal and epithelial interactions is pivotal in the development and maintenance of various organs, including the prostate, an essential accessory gland in the male reproductive system. The prostate gland's development and physiology are intricately tied to the localized concentrations of sex steroids, specifically androgens and estrogens. Perturbations in this hormonal balance, often associated with aging, have been implicated in prostatic diseases such as hyperplasia and cancer. In this study, we investigated the influence of estradiol (E2) and dihydrotestosterone (DHT) on prostate cells’ interactions and acinar morphogenesis. Increasing E2:DHT ratios were found to enhance stromal proliferation without a concurrent increase in epithelial cell population. Stromal conditioned medium (CM) promoted aberrant epithelial growth via elevated mitogenic factors, ERα/AR expression, and BAX downregulation. Notable expression of CK05 marker suggests basal cell involvement. Additionally, CM stimulated acinar branching and expansion in prostatospheres, mimicking early cancerous acinar changes. These findings illuminate the complex interplay between hormonal ratios and stromal-epithelial crosstalk, offering valuable insights into potential mechanisms underlying age-related prostate pathologies.
An Efficient Deepfake Detection System Using ConvoReinAutoNet and GeoFisherNet
Authors: ALkhorem Azan Hamad
Published: December 2024

This study suggests a hybrid optimization model and a new deep learning technique to create an effective deepfake detection system. During the preprocessing stage, deepfake database images are improved by employing Gaussian Filter and Histogram Equalization and are ready for analysis. The recently proposed Improved Local Ternary Patterns (I-LTP) approach collects textural and temporal information for feature extraction. The advanced GeoFisherNet, which effectively integrates spatial and temporal properties, is then utilized to fuse these data. The Marine Predator Customized White Shark Optimizer (MCWO), a hybrid approach that combines the White Shark Optimization Algorithm (WSO) and Marine Predator Algorithm (MPA), is used to find the most discriminative features during the feature selection phase. Lastly, ConvoReinAutoNet (CRAN), a revolutionary deep learning architecture that combines Convolutional Neural Networks (CNN), Deep Reinforcement Learning (DRL), and Autoencoders, is applied to the fused and optimized features in the classification phase to make precise detection decisions. The Python implementation of the suggested system shows better detection efficiency and accuracy of two data splits (70% and 80%) are 98.78% and 99.42% than the current methods.
Diagnosis-Treatment Analysis of Tongue Flap Necrosis and Shedding Caused by Vascular Crisis after Tongue Replantation in a Patient with Acute Transient Psychotic Disorder: A case report
Authors: Shi Yongle , Diao Yanjun , Liu Xian
Published: December 2024

Objectives：
Previous research on tongue amputations caused by acute transient psychotic disorder has mainly focused on emergency management after injury, such as achieving haemostasis and ensuring airway patency. However, the aspects of observation, care and functional training of the tongue flap after replantation are lacking.
Materials and Methods:
This study presents a case of flap necrosis following replantation of a self-inflicted tongue amputation in a patient with acute transient psychotic disorder.
Results:
After careful pre-operative assessment, the patient was found to be suitable for tongue reimplantation surgery. The surgery was successfully performed exactly 7 hours after the onset of the injury. However, a number of factors led to inactivation and spontaneous detachment of the reimplanted tongue flap 7 days postoperatively. These factors included the patient's compromised general condition, which was a direct consequence of the persistent primary disease, and the limitations of the multidisciplinary approach to wound management. Two weeks after surgery, treatment of the patient's acute transient psychotic disorder was remarkably effective, meeting the criteria for discharge from the psychiatric unit. Three weeks after the operation, the patient presented with restricted tongue movement and pronounced articulation difficulties. However, 3 months after surgery, the length of the fractured tongue had increased and there was a significant improvement in both tongue mobility and the degree of dysarthria, indicating a positive progression in the patient's recovery process.
Conclusions:
We believe that the crucial aspects of postoperative care after replantation include reducing the incidence of vascular crises, increasing the survival rate of the tongue, and improving the quality of life of the patient.
Clinical Relevance:
The key points in the management and care of a patient with acute transient psychotic disorder who has suffered non-suicidal self-injury resulting in a bitten tongue include perioperative assessment for tongue replantation, particularly assessment for vascular crisis, ongoing management and functional training after tongue replantation, and management of the primary illness.
Shear wave elastography imaging in the assessment of skin stiffness in Egyptian patients with systemic sclerosis/scleroderma
Authors: Habib Asmaa , Baz Ahmed , Abbas Nasra , Osama Dina
Published: December 2024

Background: The modified Rodnan skin score (mRSS) is a commonly used tool for the evaluation of skin involvement in scleroderma patients, however, it has many fallacies such as low objectivity and lack of inter-observer. In recent years, shear-wave elastography (SWE) proved to be an important assessment tool in the quantification of skin involvement in systemic sclerosis patients. In this study, we aimed to evaluate ultrasound and elastography findings in patients with systemic sclerosis and to clarify the effectiveness of elastosonography in the assessment of disease severity.
Methods: This prospective analytical study was conducted on 25 clinically diagnosed patients of scleroderma who subjected to shear wave elastography referred from Rheumatology and Rehabilitation Department, Faculty of Medicine, in our University to the Diagnostic Radiology department, they were compared with 25 age and sex matched healthy controls.
Results: High statistically significant difference (p-value < 0.001) was found in skin stiffness by elastography in cases group (median = 15 and inter-quartile range (IQR) = 11 – 21.5) when compared with control group (median = 10.5, IQR = 9.5 – 11.5), there was discrimination between cases group and control group was at a cut off level of > 13.6, with 58% sensitivity, 94% specificity.
Conclusions: The shear wave elastography helped in early skin stiffness detection and assessment in scleroderma/systemic sclerosis patients, with less influence of clinical features and greater sensitivity and specificity.
Prevalence of Depression in Childhood-Onset Systemic Lupus Erythematosus: A Systematic Review and Meta-Analysis
Authors: Xiao-Jing Xia , Min Pan
Published: December 2024

Objective: Childhood-onset systemic lupus erythematosus (cSLE) is frequently associated with psychological symptoms, particularly depression. However, there remains a lack of quantitative evidence regarding the prevalence and disease course of depression based on the currently available evidence. In this context, we conducted the first systematic review and meta-analysis addressing this important issue.
Methods:Three medical databases, including PubMed, Embase, Cochrane Library were utilized in this study. We included studies that reported on cSLE patients experiencing depression for a meta-analysis. STATA software were employed to synthesize the results as well as to assess heterogeneity and publication bias.
Results: Totally 12 eligible studies encompassing 652 cSLE patients were incorporated into this meta-analysis. Each of the publications included exhibited commendable methodological rigor, with Newcastle-Ottawa scores no less than 6. The pooled results with 12 articles indicated that the prevalence of depression among cSLE patients was 32.6% (95% CI: 0.25-0.40, Z=8.656, P<0.001). Subsequent subgroup analysis indicated that the prevalence of depression varied according to the different screening tools used: it was found to be 26% with CDI (95% CI: 0.18-0.34, P=0.023, I²=61.8%), 41% with PHQ-9 (95% CI: 0.20-0.63, P<0.001, I²=90.7%), and 37% with other tools such as BSI, BDI, and CES-D (95% CI: 0.21-0.53, P=0.031, I²=71.3%). Furthermore, the Egger’s test indicates that publication bias is insignificant among the studies included.
Conclusions: The prevalence of depression in patients with cSLE is slightly higher compared with adult SLE patients. It is noteworthy that screening rates for depression vary significantly among different assessment tools. There exists an urgent need to establish a consensus aimed at standardizing diagnostic criteria for depression through screening, thereby providing valuable guidance for clinical and nursing practice.
Optimizing mathematical models for the efficacy and precise regimens of meropenem in RICU patients: a real-world prospective study
Authors: Hou Jingjing , Zhao Yichang , Luo Hong , Li Jinhua , Xiao Yiwen , Gong Hui , Ma Rui , Cai Hualin , Zhang Bikui , Yan Miao
Published: December 2024

Background
It is inadequate to direct evaluation of meropenem pharmacokinetic targets and clinical efficacy. This study aimed to investigate the predictors of meropenem clinical effectiveness and to optimize dosing regimens precisely in the Department of Respiratory and Intensive Care Unit (RICU).
Methods
Patients with severe pneumonia using meropenem in RICU were included. Blood samples were assayed using two-dimensional high-performance liquid chromatography. Logistic regression analysis was conducted to identify predictors of efficacy. Population pharmacokinetics analysis was performed to optimize dosing regimens.
Results
396 meropenem concentrations from 111 patients were measured. The joint predictor of total protein, platelet, Cpeak, and APACHE Ⅱ score had a good predictive performance on the clinical efficacy (P < 0.001). Model-based simulation suggested to administer 2000 mg of meropenem every 8 hours at a 2-hour infusion for the patient with a minimum inhibitory concentration (MIC) of 8 mg/L and a creatinine clearance (CrCL) of 30 ml/min, or at 3-hour infusion for the patient with a MIC of 4 mg/L and a CrCL of 60 ml/min, respectively, which could achieve a probability of target attainment (PTA), with 100% of the time between doses at which the free fraction concentration remains above MIC (%fT > MIC) ≥ 80%. And only at specific MICs and pharmacodynamic targets, did PTAs of the prolonged infusion be significantly different (P < 0.05).
Conclusion
High Cpeak caused potential unfavorable outcomes. 2000 mg of meropenem every 8 hours with 2-hour or 3-hour infusion was recommended for patients with severe pneumonia in RICU. The benefits of prolonged infusion were limited.
Art impacts in museums compared to digital encounters
Authors: Darda Kohinoor M. , Gonzalez Vicente Estrada , Christensen Alexander P. , Bobrow Isabella , Krimm Amy , Nasim Zuha , Cardillo Eileen R. , Perthes William , Chatterjee Anjan
Published: December 2024

As cultural consumption increasingly moves to a digital space, it is crucial to understand the evolving landscape of art consumption both in and outside of a physical museum context. The current study delves into this contrast, seeking to understand how art is perceived and appreciated in museums and on a digital medium (like a computer screen). Across two experiments at the Barnes Foundation and Penn Museum in Philadelphia, Pennsylvania, we explored how the aesthetic engagement of paintings and artifacts is influenced by the physical context in which an artwork is encountered and by the characteristics of the viewer. Our findings suggest that the cognitive and emotional impacts of artworks on viewers, as well as the viewers’ overall aesthetic experiences are comparable across physical museum spaces and digital platforms. However, participants reported gaining more understanding from art viewed in museums, compared to participants who viewed art in the lab. Art experience and openness to experience influenced aesthetic impacts and ratings differently in the museum and in the lab. Overall, routes to broader valuations of liking were more similar than different between the museum and lab contexts, whereas patterns of impacts that might lead to new knowledge or understanding gained differed between museum and lab contexts. As digital technologies are increasingly integrated into diverse processes in museums such as collections management, curation, exhibitions, and education and learning, our research highlights how museums can leverage digital expansion to achieve their missions as centers of learning and education.
Sedimentation Dynamics and Seismic Vulnerability Using Integrated VSM-HVSR Analysis in Lake Limboto for Disaster Mitigation
Authors: Yunginger Raghel , Zulkifli Muhammad , Gafur Nurfitri Abdul , Patuti Indriati Martha , Supu Idawati , Kasim Muhammad , Bakri Abu , Bakari Ayun , Sudarningsih Sudarningsih , Wijaya Arif
Published: December 2024

Lake Limboto, located in the Gorontalo basin, is experiencing significant degradation due to sedimentation exacerbated by deforestation and unsustainable agricultural practices. Sedimentation dynamics in Lake Limboto are shaped by a combination of natural and anthropogenic processes, including erosion from the catchment area and waste generated by human activities. These processes contribute to the accumulation of thick and soft sediment layers, which in turn increases seismic vulnerability. This study aims to analyze the sedimentation dynamics and seismic vulnerability of Lake Limboto using an integrative approach that combines Vibrating Sample Magnetometer (VSM) and Horizontal-to-Vertical Spectral Ratio (HVSR) methods. This dual methodology approach provides a comprehensive understanding of the linkages between sedimentation processes and seismic hazard risk.
Cataract in Long-stay Psychiatric In-Patients: Prevalence, Challenges, and Clinical Implications
Authors: Hadi Yasaman , Rezaei Anita , Roozdar Sepehr , Hosseinali Anahita , Rezaei Omid , Dadpour Negar , Ghiasian Leila
Published: December 2024

Purpose
Cataracts, the leading cause of blindness, result in significant vision impairment and require surgical intervention. This study evaluates the prevalence, complexity, and complications of cataracts in long-term psychiatric hospital patients, who often face delayed diagnosis due to limited support systems.
Methods
This interventional case series included all patients hospitalized for more than six months. Comprehensive ophthalmic examinations were conducted, and cataract severity was documented. Patients were considered for surgery based on self-awareness or objective signs of vision impairment. Standard preoperative and postoperative care was implemented, with anesthesia determined by patient cooperation.
Results
A total of 608 psychiatric patients were screened. The most common diagnoses were schizophrenia (n = 432) and bipolar disorder (n = 112). Clinically significant cataracts were diagnosed in 212 patients (34.9%). Cataract surgery was performed on 192 eyes of 110 patients, with 82 patients undergoing bilateral surgeries with at least a 4-week interval. 89 patients underwent surgery with intravenous sedation and topical anesthesia, while 21 required general anesthesia. No instances of posterior capsular rupture or vitreous loss were reported. The mean corrected distance visual acuity (CDVA) improved significantly from 0.76 ± 0.32 logMAR to 0.26 ± 0.15 logMAR (P = 0.024) in 65 patients who cooperated for evaluation.
Conclusion
Regular examinations are essential for the timely diagnosis of cataracts in chronic psychiatric patients, reducing surgical complications and improving mental health. Experienced surgeons can generally perform cataract surgery under local anesthesia using the phacoemulsification technique for most psychiatric patients.
Effectiveness Of Mindfulness Interventions in Reducing Perceived Stress Among Nurses- A Systematic Review and Meta-Analysis
Authors: Ram Ekta , Balachandar Rakesh , Soundararajan Soundarya
Published: December 2024

Objectives
Mindfulness-based interventions (MBIs) are effective in reducing anxiety and depression. Yet their impact on perceived stress among clinical nurses and nursing students remains less explored. This study synthesizes evidence on the effects of MBIs in mitigating perceived stress within this high-stress professional group.
Methods
We systematically searched two databases and identified studies evaluating the effects of mindfulness on perceived stress. Standardized mean differences (SMDs) were calculated using random-effects models. Thirty-six studies involving 2,201 participants were included. Separate meta-analyses were conducted for (1) one-sample pre-post designs and (2) intervention-control designs. Subgroup analyses examined control type (active vs. non-active), intervention mode (instructor-led vs. self-directed), and intervention setting (workplace vs. non-workplace). Sensitivity analyses were performed to assess the robustness of findings.
Results
Mindfulness interventions significantly reduced perceived stress, with medium effects in one-sample pre-post studies (SMD = -0.54 [-0.77, -0.31]) and small effects in intervention-control studies (SMD = -0.21 [-0.37, -0.05]). Subgroup analyses revealed stronger effects for instructor-led interventions, workplace settings, and non-active controls. Sensitivity analyses confirmed the stability of findings, with no single study disproportionately influencing the pooled effect sizes.
Conclusions
This meta-analysis reaffirms the efficacy of MBIs in reducing perceived stress among clinical nurses and nursing students. These findings highlight the potential of tailored MBIs to promote mental health and resilience in nursing professionals, while underscoring the need for further robust, region-specific randomized controlled trials to refine intervention strategies and assess long-term impacts.
Preregistration
This systematic review/meta-analysis was preregistered in PROSPERO (CRD42024509223)
Machine learning-driven analysis of geophysical wellbore data for underground storage applications
Authors: Bondarenko Nikita , Ankul Ansh , Goldberg Cassandra , Williams-Stroud Sherilyn , Makhnenko Roman
Published: December 2024

This study explores the application of data-driven approaches to enhance the interpretation of geophysical wellbore data for carbon capture and storage (CCS) in the Illinois Basin. Extensive data from exploration and pilot-scale projects are analyzed to assess their potential for generating synthetic datasets that can effectively replicate some missing information for ongoing projects. Specifically, various machine learning (ML) models, including random forest, gradient boosting, feed-forward neural networks, and others, are employed to predict sonic velocities based on mineralogical composition and to identify fracture locations using petrophysical logs. ML-based approaches significantly outperform the traditional effective media interpretation, exhibiting improved accuracy in sonic velocity prediction and capturing small-scale heterogeneity of the formations. However, the prediction of fracture presence remains a challenge due to data imbalance and the complex interplay between fractures and inherent heterogeneity of geologic formations. Application of T-distributed stochastic neighbor embedding (t-SNE) - advanced technique for multidimensional data visualization reveals that spatial heterogeneity strongly influences geophysical properties, limiting ML models' performance in detecting fractures. Despite these challenges, ML approaches show promise in complementing traditional methodologies, enabling faster and more informed decision-making process during early project stages. Future research is needed to address data limitations and enhance the reliability of ML models in diverse geological settings.
Evaluating the Effect of Fertilization and Substrate Volumetric Water Content on Compact Tomato and Pepper Plants
Authors: Fidler Michael , Gómez Celina
Published: December 2024

Interest in compact vegetable plants for home gardening is increasing, but the production guidelines for these new crops are limited. Our objective was to characterize the effects of fertilizer use and substrate volumetric water content (VWC) on growth, quality, and yield of compact tomato and pepper plants. During a production phase, ‘Siam’ tomato and ‘Basket of Fire’ pepper were grown in a greenhouse for 22 days and 44 days, respectively, using 4-inch containers. Plants received water-soluble fertilizer once per week or tap water only and relied on the fertilizer starter charge in the substrate (electrical conductivity = 1.0 mS·cm−1). Plants were irrigated to container capacity when the substrate VWC reached 0.15, 0.30, 0.45, or 0.60 m3·m−3. During the postproduction phase, plants were allowed to wilt to assess the time required to reach different wilting stages or were transplanted into 8-inch containers, top-dressed with controlled-release fertilizer, and grown to harvest to evaluate carryover treatment effects. Our results showed that limiting the fertilizer application during production can have a larger effect on plant growth and yield than restricting VWC when the substrate is brought back to container capacity after each irrigation event. For example, plants of both species irrigated with only tap water during the production phase were shorter, had less biomass, and generally produced less fruit compared to plants that received fertilizer. In contrast, shoot height and shoot dry weight of tomato were the only two growth variables affected by VWC, and peppers were mostly unresponsive to differences in VWC. Although plants irrigated with only tap water during production had lower chlorophyll concentrations than those of plants that were fertilized, they quickly greened after receiving a single dose of fertilizer solution, suggesting that using a residual fertilizer strategy before shipping may help increase plant greenness when height-control treatments that induce chlorosis are used. Furthermore, wilt progression was slower in plants of both species irrigated with only tap water during the production phase, likely because of their smaller size that limited water demand. During the postproduction phase, the only differences in growth and yield were measured in pepper plants; fertilized plants were larger and produced more fruit compared to plants irrigated with only tap water during the production phase. Based on our results, growers should limit their fertilizer use when trying to produce compact vegetable plants, possibly relying only on the fertilizer starter charge incorporated into the substrate during short production cycles. However, reducing irrigation frequency may not have an effect on height and overall growth if plants are watered thoroughly each time.
POST-COVID-19 RESEARCH PRIORITIES: FROM LONG-TERM EFFECTS TO SOCIOECONOMIC RECOVERY
Authors: Ida Ayu Triastuti
Published: December 2024

Some key areas of COVID-19 research should be continued, ultimately for the next 5 years, such as vaccine development and efficacy, long COVID-19, mental health impact, telemedicine and remote healthcare, epidemiological modeling and surveillance, socioeconomic impacts, and recovery strategies.
ANALYSE DES EFFETS DU COMPOST SUR LES PARAMETRES DE CROISSANCE ET LES RENDEMENTS DE BIOMASSE DE BRACHIARIARUZIZIENSIS ET PANICUM MAXIMUM EN REPUBLIQUE DE GUINEE
Authors:   Ecole doctorale en Agriculture Durable et Gestion des Ressources en Eau, Institut Superieur Agronomique et Veterinaire Valery Giscard dEstaing de Faranah, BP: 131 Faranah, Republique de Guinee., Habib Diallo Mamadou ,   Departement Sciences animales, Institut Superieur Agronomique et Veterinaire Valery Giscard dEstaing de Faranah, BP: 131 Faranah, Republique de Guinee., Bah Hamidou ,   Departement Agriculture, Institut Superieur Agronomique et VeterinaireValery Giscard dEstaing de Faranah, BP: 131 Faranah, Republique de Guinee., Bonou-Gbo Zaki ,   Departement Sciences animales, Institut Superieur Agronomique et Veterinaire Valery Giscard dEstaing de Faranah, BP: 131 Faranah, Republique de Guinee., Diallo Boubacar ,   Departement Agriculture, Institut Superieur Agronomique et VeterinaireValery Giscard dEstaing de Faranah, BP: 131 Faranah, Republique de Guinee., Aliou Diallo Mamadou ,   Departement Sciences animales, Institut Superieur Agronomique et Veterinaire Valery Giscard dEstaing de Faranah, BP: 131 Faranah, Republique de Guinee.
Published: December 2024

This study assessed the impact of different compost doses (0, 20 and 30 t/ha) on growth parameters and biomass yields of two forage species (Brachiariaruziziensis and Panicum maximum) in sandy-clay-silty soil in tropical climates. Climate data showed favorable conditions in 2022 compared to 2021, with an increase in rainfall, relative humidity and average temperatures. Soil physico-chemical analyzes showed a decrease in organic matter and nutrients in the control plots, confirming the importance of compost input to maintain soil fertility. The results indicate that the dose of 20 t/ha optimized growth parameters (stem diameter, plant height, number of stems) and biomass yields, but did not result in nutrient saturation or excessive leaching. This dose is therefore an appropriate solution to improve forage productivity in tropical soils while promoting sustainable resource management.
The Work of Sharing
Authors: Arlander Annette , Barton Bruce , Householder Johanna , Man Michelle
Published: December 2024

This multimedia essay is describing or rather demonstrating one attempt at dealing with the problem how to discuss performance in the mode of performance, based on the presentation at the Performance Philosophy conference in Helsinki in June 2022. There we—four members of the Artistic Research Working Group (ARWG) of Performance Studies international (PSi)—tried to present and demonstrate in a miniature form one of the methods for sharing we have explored in the working group, and to do it in a hybrid format, with two performers in the room and two performers present via zoom. The three phases of the method (perform–respond–expand) were performed by three members of the group and condensed into three minutes of prerecorded material per person at each stage. An extract of our preparatory discussions on zoom is added to the essay, as well as a link to the working group archive or blog.
The impact of digital marketing on the reputation of insurance companies: The role of service quality and brand trust
Authors: M. Aboalganam Khaled , Alzghoul Amro
Published: December 2024

The study evaluates the influence of digital marketing on the reputation of insurance companies in Jordan, guided by the mediating role of service quality and the moderating role of brand trust. This is a relevant topic because digital engagement has become increasingly important in shaping consumer perceptions and building brand reputation in the insurance industry. The purpose is to determine how digital marketing practices influence organizational reputation through service quality. A quantitative research design was adopted with data collected from 237 employees of 21 insurance companies in Jordan. The data were analyzed using structural equation modeling with partial least squares. The results indicate that digital marketing significantly improves the reputation of insurance companies. The findings demonstrated that service quality serves as a crucial mediator, as an improvement in service quality leads to an increase in customer satisfaction and loyalty, thereby enhancing a company’s reputation. Further, brand trust moderated the relationship of digital marketing with reputation, thereby indicating that reputational benefits from digital marketing are further enhanced in firms characterized by high brand trust. These findings highlight the importance of insurance firms implementing digital marketing-driven initiatives to improve service quality and build brand trust. This study has practical value in terms of guiding insurance companies in using digital marketing to build their reputation in a competitive market.
Market share and firm performance: Moderated and mediating effects of firm size and corporate governance
Authors: Kumar Gautam Prakash , Prasad Silwal Prem , Raj Joshi Padam
Published: December 2024

Firm performance is of global interest for sustainable growth and is a function of multiple factors. Market share is often considered the source of competitive position and ability to generate financial performance. By understanding these dynamics, organizations can develop tailored strategies incorporating corporate governance to enhance competitiveness for improved performance outcomes. This study examines the impact of market share on firm performance, considering the moderated effect of firm size and mediating effects of corporate governance with capital structure, growth, and innovation as control variables. This study relies on seven-year firm-level data, utilizing an uneven sample of 40 non-financial companies listed on the Nepal Stock Exchange (NSE) and encompassing 280 observations. A causal-comparative research design was used with Process Macro tools in a moderated mediating model to examine the hypotheses. The results revealed a significant impact of market share on firm performance, i.e., ROA (β = 0.195, p < 0.01) and Tobin’s Q (β = 0.232, p < 0.01). Additionally, firm size moderated negatively (β = –0.82, p < 0.01), while corporate governance positively mediated the relationship (β = 0.184, p < 0.01; Tobin’s Q: β = 0.188, p < 0.05). Control variables had no significant impact on corporate governance. The study highlights the implication of balance of market share, corporate governance, and innovation with firm size for the firm’s performance. By utilizing these insights, firms can create strategic initiatives to boost competitiveness, improve resource allocation, and reinforce governance practices.
Acknowledgment We acknowledge all the individuals who supported this research process directly and indirectly. We also thank the anonymous reviewers for their valuable comments on improving the quality of the paper.
Impact of dynamic capabilities and green HR on sustainable performance in SMEs
Authors: Atikur Rahaman Md. , Dilip Taru Rupali , Ahammad Issa , Durgude Uma , Ali Imad
Published: December 2024

The purpose of this study is to explore how internal and external dynamic capabilities and green human resource (HR) practices enhance sustainable outcomes in SMEs. Data were collected using a survey methodology targeting employees of SMEs located in the northern region of Bangladesh and West Bengal, India. A total of 327 employees participated in the survey conducted between May and June 2024. A five-point Likert scale was employed to assess the responses, and regression analysis was used to test the study’s hypotheses. The analysis was conducted at a 5% significance level, and the data were analyzed using the SPSS software package to ensure accuracy and reliability. The results indicate that internal and external dynamic capabilities, as well as green HR practices, play a significant role in shaping the sustainable performance of SMEs. External dynamic capabilities (β = 0.498, p < 0.05**) have the highest effect on the sustainable performance of SMEs, and internal capability (β = 0.384, p < 0.05**) has the second highest effect on SME performance. Additionally, a significant positive correlation (r = 0.498) was found between green HR practices and the overall performance of SMEs. This study contributes to the growing body of literature by providing empirical evidence on the critical factors driving sustainable performance in SMEs. It highlights the importance of integrating dynamic capabilities and environmentally conscious HR practices to achieve long-term sustainability in the SME sector, particularly in the context of developing countries like Bangladesh and India.
Incidental finding of a congenital left ventricular diverticulum
Authors: Oumarou Hamissou Ibrahim , Hugues Nicolas , Lager Emeric , Pastre Romain
Published: December 2024

Left ventricular diverticulum is a rare abnormality for which diagnosis is often delayed due to its asymptomatic character. Multimodal imaging can help in diagnosis of this potentially confusing condition. We present a 48-year-old female patient with a medical history of a paradoxical thromboembolic events who benefited from the closure of a patent foramen oval in another center. She presented a year later at our department for a lower back pain where an incidental finding of a congenital left ventricular diverticulum was made on a contrasted computed tomography scan.
Empowering patients through AI: the role of ChatGPT in daily monitoring of blood pressure and blood glucose levels
Authors: Khetan Shrishti , Suresh Suvarna Shruti
Published: December 2024

This letter probes the possibility of ChatGPT, a conversational AI model, managing chronic conditions like hypertension and diabetes. Utilizing natural language processing, ChatGPT helps patients in everyday self-management tasks, offering personalized reminders, real-time alerts, and tailored medication and lifestyle modification guidance. While it improves patient engagement and adherence, data accuracy and privacy concerns remain. This letter underlines the importance of incorporating AI responsibly into healthcare to maximize benefits while addressing likely threats.
Historical Evolution of Supply Chain Management In The Vuca Age: Sustainable, LARG and Digital Supply Chaın Managements
Authors: Doğan Nuri Özgür , Derici Serkan
Published: December 2024

Business processes are differentiating from the classical meaning with the increasing impact of technology. In this study, based on the fact that business processes in the world now include components such as Volatility, Uncertainty, Complexity, Ambiguity (VUCA) under the influence of different factors, new approaches in supply chains are discussed under the concept of VUCA as a flow process. Different important developments affecting the world such as political developments, digital transformation, epidemics and natural disasters make the classical supply chain dysfunctional. When the literature is examined, it is seen that the historical development of lean, agile, flexible and green (LARG) supply chains and digital supply chains under the VUCA era are not discussed in relation to each other. In this respect, this historical development, industrial revolutions and their interaction with each other are revealed within the scope of the study. Developments were obtained by conducting a literature review on supply chain management and industrial revolutions while preserving historical integrity, and these developments were correlated with each other and the historical development process was presented in tables. In addition, all concepts are explained with the support of literature and a flow that provides bedside information is provided. It has been determined that there is a deficiency in the literature in theoretically explaining this evolutionary development. The information presented in the article reveals the development of supply chain management as a whole along with industrial revolutions.
EU Values as a Guide for Ukrainian Legal System
Authors: Komarova Tetyana
Published: December 2024

The relevance of the research topic is connected with Ukraine's candidate status for joining the European Union which raised the question of Ukraine's fulfillment of its obligations to implement part of the EU acquis into the national legal system. The European Union pays special attention not only to the fulfillment of obligations for the implementation of specifically defined EU legal acts, but also to the respect and dissemination of its values ​​by the candidate states. After all, the biggest challenge that the EU has faced at the current stage of its functioning is the violation of EU values ​​by Member States and weak mechanisms for countering such violations. This, of course, requires a rethinking of approaches to the protection of values ​​enshrined in Art. 2 of the EU Treaty: respect for human dignity, freedom, democracy, equality, the rule of law and respect for human rights. The practice of the Court of Justice of the EU, which was a response to the violation of the rule of law by Poland and Hungary, has a great impact on the trends in the protection of EU values. Therefore, the purpose of the research is to study the evolution of the status of EU values, their interpretation by the Court of Justice of the EU, as well as the analysis of their protection mechanisms. In the research the study of the practice of the Court of Justice of the EU in the field of the rule of law is analyzed because it is important for Ukraine, as it contains the interpretation of this value, which is common to Ukraine and the EU and the observance of which plays a key role in Ukraine's successful entry into the Union.
Innovative Technologies for the Development of Criminology in the Conditions of War
Authors: Bilous Vasyl
Published: December 2024

The article is devoted to the study of the main areas of activity and highlighting the achievements of the Center for Forensic Innovations "intelligenTrident" of the Yaroslav Mudryi National Law University as a center of interdepartmental and interdisciplinary cooperation aimed at solving current problems of forensic theory and practice in the context of the full-scale Russian-Ukrainian war. Through the prism of the general characteristics, tasks and functions of the Center, significant results of activity achieved in the field of: organization and holding of public events (round tables, seminars, conferences, discussion panels, lectures, master classes, trainings, presentations and exhibitions, etc.) of national and international level aimed at highlighting current achievements, public discussion of problems important for civil society, the professional community and the State, and collegial development and implementation of algorithms for their effective solution; creation of scientific monographs, textbooks, training manuals and multimedia content, the latest didactic tools and innovative technologies of educational and professional activity; development of optimal configurations of mobile and stationary complexes of technical and forensic support and separate functional modules of the latter, execution of work on their assembly to meet own needs and on the order of third-party entities; development and production of own scientific and technical means and technologies aimed at meeting the current and prospective needs of forensic education, science and practice in the process of professional training, implementation of practical activities in the investigation and trial of criminal offenses, prevention of their commission; providing state authorities and local self-government bodies, subjects of the security and defense sector, advocacy, prosecutor's office, court and forensic expert activities with recommendations and practical assistance on the situationally determined application of modern technical and forensic means and technologies in order to improve the quality and efficiency of the performance of functional duties, etc.
Are There Grounds for Tax Consequences of Non-Tax Reporting?
Authors: Yashchenko Mykyta
Published: December 2024

The relevance of the research topic is determined by the peculiarities of the implementation of control powers by tax authorities in modern conditions. Similar features are related both to the sphere of relations, namely the circulation of excise goods, the procedures of which are controlled, and the specifics of materials and documents that are examined by the controlling authorities. Accordingly, there is a need for a clear answer to the question - whether non-tax reporting can directly generate tax consequences, which leads to the imposition of fines and penalties for the payer. The purpose of the article is to evaluate tax control measures that reflect the peculiarities of cameral, factual and documentary verification procedures. In order to achieve this goal, several tasks were identified. First, decide on the subject of camera and actual inspection, during which compliance with the legislation on the circulation of excise goods is assessed. Secondly, the ratio of the content of tax reporting and reports on the volume of acquisition and sale of tobacco products, which do not have a tax nature, but perform an exclusively statistical purpose. Thirdly, clarifying the reasons for tax consequences when submitting reports on compliance with licensing conditions for the sale of excise goods. The research uses a number of methods of scientific knowledge. First of all, the system method, on the basis of which the tax consequences regarding the control actions of tax authorities for the circulation of tobacco products are evaluated in the system of implementation of general methods of tax control, the system of tax inspections. In addition, in the mode of implementation of the comparative legal method, an assessment of the legislation that directly regulates tax relations and legislation, the regulation of which is aimed at streamlining the circulation of tobacco products, is carried out. And finally, the method of assessing the dynamics of the development of relations involves clarifying the nature of the phenomenon in dynamics from an assessment of how it happened before, how it is happening now, and what development prospects this phenomenon has. The reconciliation of the reasons for conducting tax audits with their consequences has been studied. Variants of harmonizing tax legislation and legislation regulating the circulation of excisable goods during the provision of tax reporting and its verification have been considered. The level and availability of scientific studies related to the generalization of the excise tax payment procedure, the state of judicial practice in resolving similar disputes, were analyzed.