bluuebunny/crossref_metadata_2025 huggingface dataset:
The Role of Gene Expression Profiling in Management of Cutaneous Squamous Cell Cancer: A Review
Authors: Durgham Ryan A. , Badders Joel , Nguyen Shaun A. , Olinde Lindsay , Pang John , Nathan Cherie-Ann O.
Published: September 2024

Cutaneous squamous cell carcinoma (cSCC) is the second most common form of skin cancer, with an increasing global incidence. While most cases are successfully treated with surgical excision, a subset can metastasize, leading to significant morbidity and mortality. Current staging systems based on clinical and histopathological features have shown limitations in accurately predicting metastatic risk. This review examines the role of gene expression profiling (GEP), particularly the 40-gene expression profile (40-GEP) test, in improving risk stratification and management of cSCC. We assess the prognostic value of the 40-GEP test, its integration with current staging systems, and its impact on clinical decision-making. Recent studies suggest that incorporating GEP results with traditional staging methods can enhance the identification of high-risk patients, potentially leading to more personalized treatment strategies. The review also explores the challenges of implementing GEP in routine clinical practice, including cost-effectiveness considerations and the need for standardization. Finally, we discuss the implications for future cSCC management and highlight areas for further research. As molecular profiling techniques continue to evolve, GEP represents a promising approach to optimizing care for cSCC patients, aligning with the growing emphasis on personalized medicine in oncology.
Iris Recognition System using Advanced Segmentation Techniques and Fuzzy Clustering Methods for Robot Control
Authors: Ben Chaabane Slim , Harrabi Rafika Mohamed Salah , Seddik Hassene
Published: September 2024

The idea of developing a robot controlled by iris movement to assist physically disabled individuals is indeed innovative and has the potential to significantly improve their quality of life. This technology can empower individuals with limited mobility and enhance their ability to interact with their environment. Disability of movement has huge impact on the life of physically disabled people. Therefore, there is need to develop a robot which can be controlled using iris movement.
The main idea of this work revolves around iris recognition from an eye image, specifically identifying the centroid of the iris. The centroid's position is then utilized to issue commands to control the robot. This innovative approach leverages iris movement as a means of communication and control, offering a potential breakthrough in assisting individuals with physical disabilities.
The proposed method aims to improve the precision and effectiveness of iris recognition by incorporating advanced segmentation techniques and fuzzy clustering methods. The fast gradient filters using a fuzzy inference system (FIS) is employed to separate the iris from its surroundings. Then, the bald eagle search (BES) algorithm is employed to locate and isolate the iris region. Subsequently, the Fuzzy KNN algorithm is applied for the matching process. This combined methodology aims to improve the overall performance of iris recognition systems by leveraging advanced segmentation, search, and classification techniques.
The results of the proposed model are validated using True Success Rate (TSR) and compared to other existing models. The results highlight the effectiveness of the proposed method for the 400 tested images representing 40 people.
Genomic Typing, Antimicrobial Resistance Gene and Virulence Factor Dataset for the Important Pathogenic Bacteria Klebsiella pneumoniae
Authors: Shelenkov Andrey , Slavokhotova Anna , Mikhailova Yulia , Akimkin Vasiliy
Published: September 2024

The infections of bacterial origin represent a significant problem to public healthcare worldwide both in clinical and community settings. Recent decade was marked by limiting treatment options for bacterial infections due to growing antimicrobial resistance (AMR) acquired and transferred by various bacterial species, especially the ones causing healthcare-associated infections, which has become a dangerous issue noticed by the World Health Organization. Numerous reports shown that the spread of AMR is often driven by several species-specific lineages usually called the ‘global clones of high risk’. Thus, it is essential to track the isolates belonging to such clones and investigate the mechanisms of their pathogenicity and AMR acquisition. Currently, the whole genome-based analysis is increasingly used for these purposes, including epidemiological surveillance and analysis of mobile elements involved in resistance transfer. However, in spite of the exponential growth of available bacterial genomes, their representation usually lack uniformity and availability of supporting metadata, which creates a bottleneck for such investigations. In this dataset, we provide the results of a comprehensive genomic epidemiology analysis of 61,857 genomes of a dangerous bacterial pathogen Klebsiella pneumoniae. Important typing information including multilocus sequence typing (MLST)-based sequence types (STs), assignment of the isolates to known global clones, capsular (KL) and lipooligosaccharide (O) types, presence of CRISPR-Cas systems, and cgMLST profiles are given, and the presence of AMR and virulence genes within the genomes is also reported. This dataset will be useful for researchers in the field of K. pneumoniae genomic epidemiology, resistance analysis and prevention measure development.
Shifting from Trade-Offs to Synergies in Ecosystem Services Through Effective Ecosystem Management in Arid Areas
Authors: Xu Yan , Song Xiaoyun , Deng Mingjiang , Bai Tao , Tao Wanghai
Published: September 2024

Human activities continuously alter the delivery of ecosystem services (ESs), which play a crucial role in human well-being. There is a pressing need for effective ecological management strategies that consider the spatial heterogeneity of ESs to support the transition from trade-offs to synergies. This study focuses on the Haba River Basin and examines characteristics of land use change and the shift from trade-offs to synergies. The results indicate that from 1990 to 2000, the initial phase of land development, 10.65% of the land experienced change. Subsequently, during the intensive period of land development from 2000 to 2010, 30.29% of the land underwent significant transformation, with approximately 78% of grassland, sparse grassland, forested land, and desert converted into arable land. However, between 2010 and 2020, as the focus shifted towards the establishment of native vegetation and the intensity of land development decreased, only a small percentage (3.65%) of the total area underwent changes. Based on an in-depth analysis of spatial heterogeneity from 1990 to 2020, it is believed there has been a shift from trade-offs to co-benefits between 2000-2010 and 2010-2020. The years 2010 and 2020 were pivotal time nodes for the transition from trade-offs to synergies and for reducing trade-offs, with NPP identified as a critical driving factor for Comprehensive ES （CES） functions. By considering the trade-offs/synergies relationship and hotspots of ecological service functions, combined with unified water resource management policies, comprehensive ecological management measures tailored to different regions are proposed. These measures have facilitated the implementation of robust ecological protection policies to shift ES development from trade-offs to synergies in arid areas, thereby enhancing overall ecosystem service functions in the Haba River Basin. The research findings offer crucial scientific support and guidance for ecosystem management in arid areas, particularly within Central Asia.
Evidence of Oxidative Stress as a Mechanism of Pharmaceuticals-Induced Toxicity in Amphibians
Authors: Cardoso-Vera Jesús Daniel , Islas-Flores Hariz , Pérez-Alvarez Itzayana , Díaz-Camal Nidya
Published: September 2024

Amphibians, which are essential components of ecosystems, are susceptible to pharmaceutical contamination, a phenomenon of increasing concern owing to the widespread consumption and detection of pharmaceutical compounds in environmental matrices. This review investigates oxidative stress (OS) as the primary mechanism of drug toxicity in these organisms. The evidence gathered reveals that various pharmaceuticals, from antibiotics to anesthetics, induce OS by altering biomarkers of oxidative damage and antioxidant defense. These findings underscore the deleterious effects of pharmaceuticals on amphibian health and development and emphasize the necessity of incorporating OS biomarkers into ecotoxicological risk assessments. Although further studies on diverse amphibian species, drug mixtures, and field studies are required, OS biomarkers offer valuable tools for identifying sublethal risks. Furthermore, the development of more refined OS biomarkers will facilitate early detection of adverse effects, which are crucial for protecting amphibians and their ecosystems. Ultimately, this review calls for continued research and mitigation strategies to safeguard biodiversity from pharmaceutical contamination.
Impact of Yoga on Social Intelligence and Academic Performance of Business Students
Authors: Bou Victoria
Published: September 2024

This research investigates the influence of yoga on social intelligence and academic performance of business students. Employing a randomised controlled experiment with Executive MBA participants, the research explores the mediating role of mindfulness in these relationships. Results indicate that yoga positively influences social intelligence, decision-making skills as reflected in case study scores, and overall academic performance. Mindfulness is found to partially mediate these relationships, accounting for a significant portion of the observed effects. The study reveals that yoga directly contributes 43% to increased social intelligence, with improved mindfulness accounting for 57%. Similarly, yoga directly accounts for 46% of improved academic achievement, while enhanced mindfulness contributes 54%. These findings suggest that incorporating yoga into business education curricula could potentially enhance both the interpersonal capabilities and academic outcomes of students, preparing them more holistically for the challenges of the modern corporate world.
Educational Matheticism and Traditional Apprehension
Authors: Penzance Isaac
Published: September 2024

Within education, we make assumptions the correct manner of teaching a student, and with that, we assume further that regardless of the intellectual content that a student should engage with, the acculturation for the customary (and always rather traditional) means of religious apprehension for the purpose of an assumedly universal and beneficial role. This article instead promotes the view that such determinations are (1) unsuitable for modern society and (2) causal to a disjunction with a truly proper manner of education in the form of the matheticism – a term rather unfortunately applied in educational theory.
The ESG Criteria Impact on Taxation
Authors: Greggi Marco
Published: September 2024

The article investigates the impact of the Environmental, Social, and Governance (ESG) criteria on the current tax systems worldwide. The ESG principles, although yet to be codified in hard law in most countries, are gaining increasing prominence in shaping business practices and policies. The article explores how these principles might influence the interpretation and application of existing tax rules, even without explicit legal mandates. It delves into four key areas where ESG considerations could play a significant role: the calculation of business income, transfer pricing regulations, the application of anti-avoidance rules, and the interpretation of the "business purpose" test. It argues that ESG principles, by redefining the purpose of a business beyond mere profit maximisation, could lead to a broader understanding of deductible costs, influence transfer pricing decisions, and impact the application of anti-avoidance measures. It concludes by emphasising the potential of ESG principles to shape the future of taxation, promoting a more sustainable and equitable approach to economic growth.
Business Analytics Strategies for Market Integration of Advanced Nanotechnology Solutions in Healthcare
Authors: Litty Abey
Published: September 2024

The integration of advanced nanotechnology solutions in healthcare presents unparalleled opportunities for transformative care and cost savings. However, market penetration remains hindered by regulatory, technological, and adoption barriers. This study explores business analytics strategies facilitating successful market integration of nanotechnology innovations in healthcare. A mixed-methods approach combining qualitative expert interviews, quantitative survey analysis, and data-driven modeling is employed.Key findings highlight the critical role of data-driven decision-making, collaborative partnerships, and tailored market segmentation in overcoming adoption hurdles. Specifically, predictive analytics and machine learning algorithms are identified as essential tools for optimizing nanotechnology product development, pricing strategies, and supply chain efficiency. Furthermore, strategic partnerships with healthcare stakeholders and tailored market segmentation enable targeted commercialization and accelerated diffusion.This research contributes to the existing literature by providing actionable insights for nanotechnology firms, policymakers, and healthcare administrators seeking to harness the transformative potential of nanotechnology in healthcare. The proposed business analytics framework offers a valuable roadmap for navigating the complex healthcare landscape and ensuring the sustainable market integration of advanced nanotechnology solutions.
Efficient Recovery of Silver and Aluminum from End-of-Life Photovoltaics: A Two-Step Leaching Approach
Authors: Mwase James Malumbo , Wahl Stefanie , Meyer Sylke , Yilmaz Duygu
Published: September 2024

Recycling solar panels is crucial to mitigating the environmental impact of the growing volume of end-of-life photovoltaic waste and conserving valuable resources, while achieving high purity in recovered materials ensures their effective reuse in the manufacturing of new solar panels, con-tributing to a sustainable and circular economy. This study proposes a two-step leaching process to recover Ag and Al from the silicon fraction of EoL photovoltaics (PVs). In the first stage laboratory scale tests, 99% Al was extracted using 5% HCl at room temperature for 3 hrs. The Al was precip-itated as oxide from the solution. The silicon residue was then leached with 0.5 M HNO3 at 80°C for 2 hrs extracting 99% Ag and producing Si with 99.83% purity. The silver was precipitated to produce metallic Ag with >99.9% purity. Methods to mitigate the effluent solutions were recom-mended and the entire process was presented in a flowsheet.
Thermodynamic Properties of Two Cinnamate Derivatives with Flavor and Fragrance Features
Authors: Freitas Vera L.S. , Silva Carlos A. O. , Ribeiro da Silva Maria D.M.C.
Published: September 2024

The standard molar enthalpies of formation in the liquid phase for ethyl (E)-cinnamate and ethyl hydrocinnamate, two cinnamate derivatives with notable flavor and fragrance characteristics, were determined experimentally using combustion calorimetry in an oxygen atmosphere. To derive the gas-phase enthalpies of formation for these derivatives, their enthalpies of vaporization were measured using a high-temperature Calvet microcalorimeter and the vacuum drop micro-calorimetric technique. Additionally, a computational analysis employing the G3(MP2)//B3LYP composite method was conducted to calculate the gas-phase standard enthalpies of formation at T = 298.15 K for both compounds.
These findings enabled a detailed assessment and analysis of the structural and energetic effects of the vinyl and ethane moieties between the phenyl and carboxylic groups in the studied com-pounds. Considering the structural features of ethyl (E)-cinnamate and ethyl hydrocinnamate, a gas-phase enthalpy of hydrogenation analysis was conducted to explore their energetic profiles more thoroughly.
Analysis of Cow Milk Fatty Acid and Protein Composition in Different Breeds and Regions
Authors: Zou Yunxia , Chen Yifei , Meng Qingyong , Wang Yachun , Zhang Yali
Published: September 2024

Cow milk is rich in proteins, fats, carbohydrates, and minerals, and its nutrient content depends on various factors. We tested differences in fatty acid and protein contents of milk from seven breeds and regions, including three dairy breed samples: Holstein milk from Beijing, China (BH); Holstein milk from Hebei province, China; Jersey milk (JS); and four dairy/meat cow samples: Sanhe milk, Xinjiang brown milk (XH), Simmental milk, and Shu Xuanhua milk. Breed significantly affected total fat, fatty acid, and protein contents. The region significantly affected the contents of different fatty acids, α-lactalbumin, and lactoferrin. JS had the highest total fat, most fatty acids, and casein contents. XH performed well with significantly higher unsaturated fatty acid content than BH, which was not significantly different from JS, and its protein composition of low β-lactoglobulin and high lactoferrin was more similar to breast milk, which may thus be favorable to the growth and development of children. Our results may inform the development of dairy products from different cow breeds and advance the process of accurate breed identification.
Construction of a DNA Fingerprinting of Improved Varieties of Slash Pines in China Based on 51K Liquid-Phased Probes
Authors: Wu Yadi , Diao Shu , Ding Xianyin , Huang Qinyun , Luan Qifu
Published: September 2024

Background: Slash pine (Pinus elliottii) is an important timber species in southern China, having been introduced from North America over a century ago. Recently, dozens of improved slash pine varieties have been authorized. However, the absence of efficient molecular markers hinders the identification of these improved varieties. In this study, we aimed to construct a set of DNA fingerprinting based on SNP markers for improved slash pine varieties and provide a technical procedure for their identification. Results: The genotypes of 29 improved slash pine varieties were captured using 51K liquid-phase probes developed by our team, resulting in the genotyping of 560,567 SNPs through next-generation sequencing. A total of 3502 SNPs were retained after screening for minor allele frequency, missing rate, heterozygosity rate, and other parameters. Subsequently, a random forest model was used to reduce the number of SNPs to 50. The identification rate of improved varieties with these 50 SNPs achieved 98.64%. We concluded that these SNPs effectively distinguish the improved varieties, which enabled the construction of DNA fingerprints for the improved slash pine varieties. Conclusions: This study provides a technical procedure for identifying improved slash pine varieties based on the Random Forest model and constructs a DNA fingerprinting of the 29 slash pine varieties using 50 SNPs.
Meta-Analysis of the Fisheries, and Life History for Trichiurus. Japonicas, T. brevis and T. nanhaiensis, in the Northwest of Pacific Ocean
Authors: LIAO Baochao , Zhou Can , Yu Jianpeng , Zhang Kui , Baset Abdul , Shan Xiujuan , Zhuang Longchuan
Published: September 2024

Aquatic environments are generally heterogeneous in space and time, and the marine organisms have their ways response to those environmental heterogeneities. Cutlassfish (Trichiurus spp.) once is one of the “Chinese Four Major Marine Fish Species” along the coast of northwest Pacific Ocean. There are some comments on the cutlassfish (T. spp.) name identification. In this study, three cutlassfish species, namely, the largehead hairtail (T. japonicas) in East China Sea (ECS), Chinese short-tailed hairtail (T. brevis), and South China Sea (SCS) cutlassfish (T. nanhaiensis), have been identified in the northwest Pacific Ocean. This work integrated 115 studies in cutlassfish population dynamics from 24 sites across 8 countries in the world. The biomass distribution of T. japonicas in the ECS and T. nanhaiensis in SCS, was found to be highly correlated with water temperature and salinity. Spatiotemporal heterogeneity of cutlassfish is found to correlate with both genetic and environmental characteristics in the northwest Pacific Ocean (e.g., density dependency, primary productivity and climate ocean oscillation). Closely related species coexisting in the same shelf region (e.g., T. japonicus and T. nanhaiensis in ESC) often differ in diet and microhabitat. The difference of skull phenology between T. nanhaiens and T. brevis is found to correlate with species separation and environmental heterogeneity. With the implications for the design of ecological research programs on cutlassfish, our study found that the effect of temporal changes outweighs (to some extent) the effect of spatial changes on cutlassfish in those shelf regions.
A Decision Support Tool Integrating Data and Advanced Modeling
Authors: Arieli Shaul , Ben Jacob Ron , Hirschberger Gilad , Hirsch-Hoefler Sivan , Kenett Ariel , Kenett Ron S.
Published: September 2024

"Politography" refers to the study or portrayal of political events, figures, and systems. It is used to analyze political trends, to visualize data, and create a data driven narrative. Decision support tools (DST) for policy makers tend to be narrowly defined in terms of specific domain applications. In this work, we describe the design and construction of a DST related to intergroup conflict management and resolution, focused on the Israeli-Palestinian conflict. It provides a case study that can be generalized to other applications. The DST, labeled T-Politography, integrates over 9000 indicators pertaining to the Israeli-Palestinian conflict, in a hierarchical structure that begins with the specific geographical areas influenced by the Israeli-Palestinian conflict. These include geographical areas: A, B, and C in the West Bank and East Jerusalem. The designated areas have distinct legal status specified in the 1993 Oslo Accords between Israel and the Palestinians Authority (PA). The second level of the DST hierarchy consists of three domains that characterize Israeli and Palestinian levels of control, in each one of the geographic areas: security, geo-spatial, and economic. In addition, the T-Politography DST contains contextual data relevant to the Israeli and Palestinian control such as political, diplomatic, social, and legal domains. Each domain is designated as influencing either Israeli or Palestinian Authority (PA) control and is further subdivided into categories. For example, the geo-spatial domain is one of the categories covering Israeli demographics in Area C. Each category is represented by a set of specific indicators, e.g., Israeli birth rates in Area C.
Temperature-Dependent FTIRS Study of Manganese Oxide Spinel Obtained by Solution Combustion Synthesis (SCS) for Supercapacitor Applications
Authors: Karakoç Taylan , SALL Sécou , Pronkin Sergey N.
Published: September 2024

Solution combustion synthesis (SCS) is often utilized to prepare crystalline nanoparticles of transition metal oxides, in particular Mn oxides. The structure and composition of the final product depend on the conditions of the synthesis, in particular on the composition of metal precursors, its molar ratio to the fuel component, and the mode of heating. In the present work the study of chemical phenomena which may occur in the during SCS process has been studied for the conventional nitrate-glycine synthesis of Mn oxide, as well as for nitrate-citrate-glycine and nitrate-citrate-urea synthesis. In the case of nitrate-glycine synthesis, formation of a weak complex of Mn(II) and glycine provides the conditions of instantaneous SCS reaction upon heating, resulting in slight sintering of final oxide nanoparticles. However, partial hydrolysis of Mn precursor during slow solvent evaporation results in formation of mixture of oxides, namely MnO and Mn3O4. Formation of MnO is completely suppressed in the presence of ammonium citrate in the initial mixture, and pure Mn3O4 phase is obtained. SCS reaction in this case is slower, resulting in stronger sintering of the nanoparticles. The study of electrochemical properties of synthesized oxides demonstrated that the SCS with nitrate-citrate-urea mixture provides the highest charge capacitance in 1M NaOH: 130 F/g at 2 A/g. Impedance characterization of materials allowed to propose a tentative mechanism of degradation of electrode materials during the galvanostatic cycling.
Selecting Optimal Printing Parameters for 3D Printed Parts in Haptic Machine Interface Prototyping
Authors: Ajayi Oluwaseun Kayode , Du Shenghzi , Odekomaya Tolulope Adebukola , Bayonle Olaoluwa
Published: September 2024

Additive Manufacturing (AM) plays a vital role in rapid prototyping. Polylactic acid (PLA), a biomass thermoplastic monomer made from corn starch is the most used filament material in AM. Due to the strength requirement of haptic device prototypes, there is a need to carefully explore all parameters that could enhance the performance of printed parts. This study considered three printing parameters: printing speed, infill density, and layer thickness on three levels each. A tensile test according to ASTM D638 was performed on each. Statistical analysis was done to investigate the influence of each of the parameters on maximum tensile stress, load at maximum tensile stress, and Modulus respectively for each sample. Subsequently, a regression analysis was performed. The sample with an Infill density of 15%, printing speed of 70mm/s, and 0.1mm layer thickness exhibited the highest tensile strength. However, it was discovered further that the infill density has the highest influence on the mechanical properties of the 3D printed PLA material in tensile testing. The chart of the mechanical properties and the parameter configurations were also presented to assist in selecting printing parameters for desired mechanical properties.
Spoken Kashmiri Recognition with Dual Feature Extraction and Spectrogram Augmentation Using a CNN-gMLP Hybrid Model
Authors: Ayub Hajam Umer , Tanzeel Rabani Syed , Khanday Akib Mohi Ud Din , Neshat Mehdi
Published: September 2024

Automatic speech recognition of native languages plays a crucial role in fostering inclusivity and preserving linguistic diversity. The Kashmiri language, an underrepresented Indo-Aryan dialect primarily spoken in the Kashmir Valley, poses substantial challenges for existing AI models due to its phonetic diversity and scant linguistic resources. This study addresses these hurdles by developing a robust spoken Kashmiri recognition system that employs dual feature extraction with spectrogram augmentation and a hybrid Convolutional Neural Network (CNN) and Gated Multi-Layer Perceptron (gMLP) model. Key to this endeavour is the creation of a high-fidelity dataset that captures the phonetic variations across Kashmiri dialects, focusing on twelve specific words. Through the integration of dual feature extraction, spectrogram augmentation, and the innovative hybrid modelling approach, our system attains an impressive 96% accuracy on the test dataset for classifying these twelve spoken words. This research not only enhances the generalization and resilience of spoken Kashmiri recognition systems but also represents a critical step towards advancing technology and safeguarding the Kashmiri language within this underrepresented linguistic domain.
Development of Cost-Effective Sn-Free Al-Bi-Fe Alloys for Efficient Onboard Hydrogen Production Through Al-Water Reaction
Authors: Deng Rui , Wang Mingshuai , Zhang Hao , Yao Ruijun , Zhen Kai , Liu Yifei , Liu Xingjun , Wang Cuiping
Published: September 2024

Leveraging the liquid phase immiscibility effect and phase diagram calculations, a sequence of alloy powders with varying Fe content was designed and fabricated utilizing gas atomization method. Microstructural characterizations, employing SEM, EDS, and XRD analyses, revealed the successful formation of incomplete shell on the surfaces of Al-Bi-Fe powders, obviating the need for Sn doping. This study systematically investigated the microstructure, hydrolysis performance, and hydrolysis process of these alloys in deionized water. Notably, Al-10Bi-7Fe exhibited the highest hydrogen production, reaching 961.0 Nml/g, while Al-10Bi-10Fe demonstrated the peak conversion rate at 92.99%. The hydrolysis activation energy of each Al-Bi-Fe alloy powder was calculated using the Arrhenius equation, indicating a reduction in activation energy achieved through Fe doping.
Stock Price Prediction Based on Hybrid CNN-LSTM Model
Authors: Zhao Qinghe , Hao Yue , Li Xuechen
Published: September 2024

Stock price prediction is of great significance but faces numerous challenges. In this study, a hybrid CNN-LSTM model was utilized. The stock data were processed and feature engineering was conducted. The model architecture and training strategies were expounded. Experimental results demonstrated that this model outperformed traditional methods and benchmark models on the test set, featuring strong capabilities in feature extraction and handling long-term dependencies. Key roles of data preprocessing, hyperparameter adjustment, and model fusion were also summarized, providing valuable references for stock price prediction.
Impact of Daratumumab in Transplant Eligible/Ineligible Patients with Newly Diagnosed Multiple Myeloma: An Updated Meta-Analysis of Phase- III Trials
Authors: Fernandes Bolivia Crocete Aloysia , Shah Vedant , Ali Muhammad Ashar , Mehta Rahul , Mal Prakash Chano , Sheikh Jannat Sardar , Gnanasekaran Sulochana , Madine Makarand , Alla Arya , Pandeti Sucharitha , Simon Jamarc , Nookala Vinod
Published: September 2024

Background and Objectives: Daratumumab, a monoclonal antibody against CD38, has shown promising results in multiple myeloma (MM). We aimed to analyze its efficacy in newly diagnosed patients with MM. Materials and Methods: A search was conducted in PubMed, Cochrane, and Clinicaltrials.gov using the MeSH terms “daratumumab” or “Darzalex” and “multiple myeloma” covering the period until 2024. The Mantel-Haenzel formula was used to calculate the pooled risk ratio (RR), and the Generic Inverse Variance method was used to determine the pooled hazard ratio for disease progression, using RevMan version 5.4 at 95% confidence interval (CI). A P value of less than 0.05 was significant. Results: A total of 6 phase-III RCTs were analyzed. The use of daratumumab was associated with 39% fewer events of progression of disease or deaths in the TE group (RR= 0.61; 95% CI= 0.39 to 0.93; p=0.02) and 29% lower in the TIE group (RR= 0.71; 95% CI= 0.53 to 0.94; p=0.02). The hazard ratio for progression or death with daratumumab group versus control in both transplant eligible (TE) (HR= 0.44; 95% CI= 0.35 to 0.57; p<0.00001) or transplant ineligible (TIE) (HR= 0.47; 95% CI= 0.38 to 0.59; p<0.00001) group was significantly lower. Daratumumab significantly increased overall response rate (ORR) (RR= 1.20; 95% CI= 1.11 to 1.30 ; p<0.00001) and complete response (CR) (RR= 1.34; 95% CI= 1.02 to 1.76; p=0.04) in the TIE group only. Conclusions: Daratumumab showed benefits in both TE and TIE patients with newly diagnosed multiple myeloma. It significantly reduced the risk of disease progression or death and improved clinical outcomes regarding ORR and CR, suggesting an effective treatment option in these patient groups.
Exploring the Potential of Agriculture Diversification as a Pathway to Improved Smallholder Livelihood Dietary System in Nepal
Authors: Nepali Bikram , Johns Craig , Jackson Tamara
Published: September 2024

Agriculture is the major economic source for the national GDP of Nepal, where the larger population of smallholder farmers engage in farming and grow few major crops using limited resources. According to recent data, agriculture production is declining gradually in contrast to the exponential population growth rate. Also, Rural populations are shifting towards urban areas resulting in numerous challenges and problems of food insecurity and malnutrition. However, the major reason behind malnutrition all over the globe is due to monocropping. Agriculture diversification is the strategic approach to overcome these challenges. We articulate two theories of Utility-Maximization theory and Entitlement theory to build a new theory of Utility-entitlement, which helps explain the relationship and causes related to agriculture diversification and food variety in Nepal. The secondary data were collected from the Nepal Household Risk and Vulnerability Panel Survey conducted over three years (2016-18). We use the Simpson diversification index, food consumption score, and linear regression model as a method of analysis. The result reveals that Agriculture diversification and dietary diversity have a highly positive significant relationship, and the major factor associated with this is Market access. Upland type, canal or rainfed irrigation, and market access are the factors for agriculture diversification. As a policy recommendation, the government and development sector should focus on a geographical approach- an upland area, especially during the dry cropping season facilitated with infrastructure and transportation for easy market access.
Reducing Genotype-Environment Interaction Effects in a Genetic Improvement for Liptopenaeus vannamei
Authors: Huong Tran Thi Mai , Hung Nguyen Huu , Tru Dinh Cong , Ty Vu Dinh , Nguyen Nguyen Hong
Published: September 2024

The genotype by environment interaction (G×E) might have crucial impacts on the performance and fitness of agricultural species, such as Pacific white leg shrimp (Litopenaeus vannamei). This study explores how enhancements in management practices can counteract G×E effects on growth traits. We analysed a selectively bred population of white leg shrimp spanning the latest two generations, encompassing 259 full-sib and half-sib families with 40,862 individual shrimp measured for body weight and total length. Our analysis revealed moderate genetic correlations (0.60 – 0.65) between trait expressions in pond and tank environments, a significant improvement compared to earlier generations. Employing the average information-restricted maximum likelihood (REML) approach in mixed model analysis showed significant differences in heritability (h2) estimates between the two environments; however, the extent of these differences varied by trait (h2 = 0.68 in pond vs. 0.37 in tank for weight, and 0.41 vs. 0.67 for length). Our results indicate that G×E effects on growth traits in this population of L. vannamei were moderate but biologically significant. Consistent with our previous estimates in this population, genetic correlations between body weight and total length remained high (close to one) in pond and tank environments. Our findings collectively demonstrate that management improvements targeting stocking density, aeration, water quality, feeds, and feeding regimes mitigated the G×E effects on two economically significant traits in this population of white leg shrimp.
Severe Obesity Defined by Percentiles of WHO and Cardiometabolic Risk in Youth with Obesity
Authors: Valerio Giuliana , Di Bonito Procolo , Di Sessa Anna , Ballarin Giada , Calcaterra Valeria , Corica Domenico , Faienza Maria Felicia , Franco Francesca , Licenziati Maria Rosaria , Maffeis Claudio , Maltoni Giulio , Miraglia del Giudice Emanuele , Morandi Anita , Mozzillo Enza , Wasniewska and Malgorzata
Published: September 2024

Background/Objectives: The pediatric definition of severe obesity (OB) depends on the body mass index (BMI) references. We evaluated different BMI derived metrics of the World Health Organization (WHO) system to define which cut-off is associated with the highest cardiometabolic risk (CMR); Methods: In this multicentric study data were obtained by 3727 youths (1937 boys; 2225 children, 1502 adolescents. severe OB was defined as BMI >99th percentile (BMI99), BMI97 ≥120% or BMI Z-score > 3 (WHO tables). The continuous CMR Z-score (sum of residual standardized for age and sex of waist-to-height ratio, systolic and diastolic blood pressure, triglycerides, and HDL-Cholesterol x -1) and the cluster of at least two CMR factors (hypertension, high triglycerides, low HDL-Cholesterol and high waist-to-height ratio) were calculated; Results: Continuous CMR Z-score was significantly higher both in children or adolescents with severe OB defined by 120% BMI97 compared to BMI >99th (p <0.0001), while it was lower only in adolescents with severe OB defined by 120% BMI97 compared to BMI Z-score >3 (p <0.0001). Compared to BMI97 ≥120%, BMI Z-score >3 had higher specificity, but lower sensitivity in identifying children and adolescents with clustered CMR factors; Conclusions: The definition of severe OB based on BMI97 ≥120% is superior to BMI99 but it is inferior to BMI Z score >3 as far as the association between severe OB and CMR factors is concerned. Pediatricians should take into consideration the implications of the use of different BMI metrics in those countries that recommend the WHO system.
Methane Concentration Measurements in the Longwall Area as a Data Source for the Assessment of Methane Hazard
Authors: Dziurzyński Wacław Antoni , Ostrogórski Piotr , Skotniczny Przemysław
Published: September 2024

As an important element of methane prevention in mining facilities, measurements of concentration serve to obtain information about methane hazards. Information about methane concentration must be linked to the place and time of its occurrence to create valuable data for ongoing hazard analysis. The article presents the results of a methane hazard analysis based on an airflow and methane concentration model, validated using measurement data. Subsequently, simulations of crew movement and the operation of individual methane detectors working according to the algorithms of the Methane Hazard Detection System were conducted based on this model.
SensorySync: Multimodal Integration Framework for Unified Perceptual Understanding
Authors: Lawson Zephyr , Martinez Ava , Quinn Seraphina
Published: September 2024

Generic text embeddings have demonstrated considerable success across a multitude of applications. However, these embeddings are typically derived by modeling the co-occurrence patterns within text-only corpora, which can limit their ability to generalize effectively across diverse contexts. In this study, we investigate methodologies that incorporate visual information into textual representations to overcome these limitations. Through extensive ablation studies, we introduce a novel and straightforward architecture named VisualText Fusion Network (VTFN). This architecture not only surpasses existing multimodal approaches on a range of well-established benchmark datasets but also achieves state-of-the-art performance on image-related textual datasets while utilizing significantly less training data. Our findings underscore the potential of integrating visual modalities to substantially enhance the robustness and applicability of text embeddings, paving the way for more nuanced and contextually rich semantic representations.
Prognostication Opportunity of Future STEM Education and 4IR for Africa: Uphill Massif
Authors: Bekene Tola
Published: September 2024

The broad adoption of information and communication technology and the shift to a fully digital society are together referred to as the "digital revolution." Similar to how the first industrial revolution affected western nations in the 19th century, the digital revolution has the power to drastically develop and transform Africa. The majority of African nations, if not all of them, are still searching for answers to the political, social, and educational issues that their citizens deal with. The principal objectives of the research were to ascertain the obstacles and possible patterns in African nations concerning the execution of STEM education and 4IR across the region, in addition to offering a plan and approach for doing so. In order to explore the sought papers and find answers to the research questions, the study employed the archival research study process. The results show that certain patterns that were adopted in Africa must be cooperatively adopted throughout the continent.
Picornavirus Evolution: Genomes Encoding Multiple 2ANPGP Sequences – Biomedical and Biotechnological Utility
Authors: Luke Garry , Ross Lauren , Lo Yi-Ting , Wu Hsing-Chieh , Ryan Martin
Published: September 2024

Alignment of picornavirus proteinase/polymerase sequences reveals this family evolved into five ‘supergroups’. Interestingly, the nature of the 2A region of the picornavirus polyprotein is highly correlated with this phylogeny. Viruses within supergroup 4, the Paavivirinae, have complex 2A regions with many viruses encoding multiple 2ANPGP sequences. In vitro transcription/translation analyses of a synthetic polyprotein comprising green fluorescent protein (GFP) linked to b-glucuronidase (GUS) via individual 2ANPGPs showed two main phenotypes: highly active 2ANPGP sequences - similar to Foot-and-Mouth Disease Virus 2ANPGP and, surprisingly, a novel phenotype of some 2ANPGP sequences which apparently terminate translation at the C-terminus of 2ANPGP - without detectable re-initiation of downstream sequences (GUS). Probing databases with the short sequences between 2ANPGPs did not reveal any potential ‘accessory’ functions. The novel, highly active, 2A-like sequences we identified substantially expands the toolbox for biomedical / biotechnological co-expression applications.
A Method for the Solution of Certain Non-Linear Problems of Combined Seagoing Main Engines Performance and Fixed Pitch Propeller Hydrodynamics
Authors: Andritsakis E.C.
Published: September 2024

The numerical algorithm used for the original multi-dimensional non-linear optimization analysis of the marine fixed pitch (screw) propulsion presented herewith, after its invention and publication has been widely used for the analysis and best fit (most probable / less uncertain) solution of over-determined non-linear mathematical problems, where the points of observations (measured data) are more than the unknown parameters in the mathematical formulation expressing the significant aspects of the observed phenomena. Any “local” attainable solution of this formidable and ingenious algorithm, may rely to the set of initial values of the unknown parameters, while not all possible solutions are expected to be physically significant for a specific problem, whereas judgment, bounds and testing are to be practiced for making sure that the attained solution is the best fit (most probable / less uncertain) one, and not necessarily the “global minimum” one. In the present paper the above algorithm is applied for the original analysis of standard ships propulsion, and particularly for the original combined application of thermo-fluid and frictional models of main engines, as well as of fixed pitch propulsion hydrodynamic models, necessary for resolving in an integrated manner the combined marine propulsion problem for standard ships under seagoing conditions.
Are Markets Naturally Random? Machine Learning Approach to Quantifying Randomness
Authors: Bogdan Philipp
Published: September 2024

From some perspective, every natural phenomenon is just a combination of many elementary random events clustering and forming a pattern. Nonetheless, the nature of random events differs from one field of study to another. This research is an attempt to determine whether volatile stock price movement, considered random, accords to the randomness of real world phenomena. To accomplish the task, a deep learning model was built, trained on preprocessed data and evaluated to calculate it's accuracy. The acquired results were then compared, and it turned out that stock prices are very similar in randomness to natural phenomena as the model trained on large amounts of stock data was increasing the accuracy of predictions of all real world parameters.
Decoding by Factual Prompts and Hallucination Prompts Improves Factuality in Large Language Models
Authors: Lv Bojie , Feng Ao , Xie Chenlong
Published: September 2024

Although large language models demonstrate impressive capabilities, they sometimes generate irrelevant or nonsensical text, or produce outputs that deviate from the provided source input—an occurrence commonly referred to as hallucination. To mitigate this issue, we introduce a novel decoding method that incorporates both factual and hallucination prompts(DFHP), utilizing a contrastive output distribution to highlight the disparity in output probabilities between model predictions influenced by factual prompts and those affected by hallucination prompts. Experiments on both multiple-choice and text generation tasks show that our approach significantly enhances the factual accuracy of large language models without requiring additional training.
Germline Variants in Proto-Oncogenes and Tumor Suppressor Genes in Women with Cervical Cancer
Authors: Lenkova Ksenia , Khusainova Rita , Minyazeva Raushaniya , Zaripova Aliya , Gilyazova Irina , Mokrysheva Natalia , Minniakhmetov Ildar
Published: September 2024

Cervical cancer (CC) remains a significant global health challenge, characterized by its genetic heterogeneity and complex molecular landscape. The current study investigates the germline variants in proto-oncogenes and tumor suppressor genes among patients diagnosed with cervical cancer. Utilizing a custom NGS panel targeting 48 genes implicated in oncogenesis, we identified 148 nucleotide sequence alterations across the cohort. Of these, 35 variants (23.6%) were classified as benign, while 105 (70.9%) were categorized as variants of uncertain significance (VUS), whose clinical relevance remains to be elucidated. Moreover, we discovered seven pathogenic or likely pathogenic mutations, as well as a polymorphic variant rs1042522 in the TP53 gene, which has been previously associated with an increased risk of CC. Our findings contribute to the understanding of the molecular-genetic landscape of cervical cancer, highlighting the potential impact of rare germline mutations on the disease's pathogenesis and progression. This study underscores the importance of comprehensive genetic screening in improving the diagnostic and therapeutic strategies for cervical cancer patients.