bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhanced COVID Optimization Algorithm for Solving Multi-Objective Optimal Power Flow Problems with Uncertain Renewable Energy Sources: A Case Study of the Iraqi High-Voltage Grid
Authors: ALBaaj Basim , Kaplan Orhan
Published: October 2024

The optimal power flow (OPF) problem is a critical component in the design and operation of power transmission systems. Various optimization algorithms have been developed to address this issue. This paper expands the use of the Coronavirus Disease Optimization Algorithm (COVIDOA) to solve a multi-objective OPF problem (MO-OPF), incorporating renewable energy sources as dis-tributed generation (DG) across multiple scenarios. The main objectives are to minimize fuel costs, emissions, voltage deviations, and power losses. Due to its non-convex nature and computational complexity, OPF poses significant challenges. While COVIDOA has been utilized to solve engi-neering problems, it faces difficulties with non-linear and non-convex issues. This paper introduces an enhanced version, the Enhanced COVID Optimization Algorithm (ENHCOVIDOA), designed to improve the performance of the original method. The effectiveness of the proposed algorithm is validated through testing on IEEE 30-bus and 57-bus systems, as well as a real-world 28-bus system representing Iraq’s Standard Iraq Super Grid High Voltage (SISGHV-28 Buses). The Two-Point Estimation Method (TPEM) is also applied to manage uncertainties in renewable energy sources in some cases, leading to cost reductions and annual savings of ($87772.9374, $391246.87, & $ 2,493,881.40) for the IEEE 30-bus, 57-bus, and reality 28-bus systems, respectively. Thirteen dif-ferent cases were analyzed, and the results demonstrate that ENHCOVIDOA is notably more ef-ficient and effective than other optimization algorithms in the literature.
Mitigating Temperature Effects in Curved Continuous Steel Box Girders: A Parametric Thermodynamic Analysis and Design Recommendations
Authors: Wang Shichao , Zhang Gang , Liu Haoting , Zhang BoXing , Hou Xu , Yuan Zhuoya
Published: October 2024

Curved continuous steel box girders are extensively utilized in bridge construction due to its efficiency and environmental benefits. However, in regions with significant temperature fluctuations, temperature effects can result in cumulative deformation and stress concentration, which may severely impact structural safety and durability. This study examines the structural response of curved continuous steel box girders under diverse temperature conditions and also develops a comprehensive parameterized thermodynamic numerical model. The model assesses the influence of cross-sectional shape parameters including; the number of cross-sectional box chambers, diaphragm thickness, and height-to-width ratio, as well as longitudinal structural parameters such as planar configurations, width-to-span ratio, and support arrangements, along with the arrangement of stiffening ribs on the temperature-induced effects in the girders. Results indicate that optimizing the width and eccentricity of support stiffeners to 30% and 25% in the support plate size, respectively, can significantly alleviate local temperature-induced stresses. Additionally, variations in longitudinal and transverse stiffeners manifest minimal impact on thermal performance. These findings provide a theoretical foundation for improved design and construction practices, offering practical design recommendations to mitigate temperature effects and enhance the longevity and safety of such structures.
The PET@home Toolkit: A Process Evaluation Study
Authors: Reniers Peter W.A. , Hediger Karin , Declercq Ine J .N. , Enders-Slegers Marie-José , Gerritsen Debby L. , Leontjevas Ruslan
Published: October 2024

The Dutch PET@home Toolkit was developed to mitigate challenges and foster conversations and planning concerning pets in long-term care at home. This process evaluation study aimed to evaluate the practical application of the toolkit on four topics: 1) satisfaction; 2) relevance; 3) feasibility; and 4) integration of the PET@home Toolkit materials in home care. Outcomes may be used to improve the toolkit materials to better align with the long-term care at home setting. Accounting for data saturation, professional caregivers (N=6), clients (N=2), and family caregivers (N=2) who used toolkit materials participated in semi-structured interviews. Interviews were analysed by two researchers in ATLAS.ti using an inductive-iterative approach. The researchers reached consensus on themes and clustering within interview topics. This led to the identification of the following topics and (themes): satisfaction (general impression, suggestions for improvement), relevance (awareness, planning, pet-related aspects in practice, impact on healthcare quality), feasibility (healthcare practice, competence, quantity), and implementation (digitalisation, task owner, piloting, timing). Several improvements were made to toolkit materials, such as providing clearer instructions for clients in the information booklet. Participants acknowledged the toolkit could lead to better planning while mitigating potential challenges concerning pets which may lead to longer-lasting relationships between clients and their pets.
MXene Anchored with Platinum Cobalt Alloy as an Efficient and Stable Electrocatalyst for Hydrogen Evolution
Authors: Xiao Jing , Wang Buxiang , Shu Qing
Published: October 2024

It is a great challenge to prepare efficient and stable electrocatalysts for hydrogen evolution (HER) using non-precious metals. In this study, a series of PtCo/Ti3C2Tx-Y (Y: 16, 32, and 320, Y indicates the quality of Co(NO3)2) catalyst was synthesized by loading PtCo alloy on Ti3C2Tx. The PtCo/Ti3C2Tx-32 exhibited the best HER performance with low overpotentials (36 and 101 mV) to reach a current density of 10 mA cm−2, and small Tafel slopes (66.37 and 105.17 mV dec-1) in 0.5 mol L-1 H2SO4 and 1 mol L-1 KOH solution. The excellent HER activity and stability of PtCo/Ti3C2Tx-32 can be attributed as follows: Ti3C2Tx has a unique two-dimensional structure, which can provide a large number of attachment sites for the PtCo alloy, thus exposing more active sites; on the other hand, it can provide a fast and efficient conductive network for electron transport during electrocatalytic processes, thus enhancing the connectivity between electrolyte and catalyst. PtCo alloy makes the PtCo/Ti3C2Tx catalyst more hydrophilic, which can accelerate the release rate of bubbles. The DFT calculation results showed that the energy barrier of HER is reduced because the charge around Pt is redistributed by Co after alloying Pt and Co, so that PtCo/Ti3C2Tx catalyst has a suitable ΔGH* value. This study can be expected to provide some references for the design and synthesis of Ti3C2Tx supported alloy electrocatalysts with high activity and stability for HER.
From Beer to Cheese: Characterization of Caseinolytic and Milk-Clotting Activities of Proteases Derived from Brewer's Spent Grain (BSG)
Authors: Villegas Maximiliano Matías , Silva Johana Nair , Tito Florencia Rocío , Tonón Claudia Virginia , Muñoz Fernando Felipe , Pepe Alfonso , Guevara María Gabriela
Published: October 2024

This study explores the extraction and characterization of proteolytic enzymes from brewer's spent grain (BSG) and their potential as sustainable coagulants in the dairy industry. BSG samples from various beer types (Blonde Ale, IPA, Kölsch, Honey, and Porter) were obtained from two artisanal breweries in Mar del Plata, Argentina. Optimization of caseinolytic activity (CA) and protein extraction was conducted using a Plackett-Burman design, followed by a Box-Behnken design. Optimal protein concentration was achieved at intermediate pH and high temperature, while CA peaked at pH 8.0. The specific caseinolytic activity (SCA) varied among the extracts, with BSG3 showing the highest activity (99.6 U mg⁻¹) and BSG1 the lowest (60.4 U mg⁻¹). Protease inhibitor assays suggested the presence of aspartic, serine, metallo, and cysteine proteases. BSG3 and BSG4 showed the highest hydrolysis rates for α-casein (70% and 78%). For κ-casein, BSG1, BSG2, and BSG3 demonstrated moderate activity (56.5%, 49%, and 55.8), while BSG4 and BSG5 exhibited the lowest activity. Additionally, the milk-clotting activity (MCA) of BSG extracts was comparable to plant-based coagulants like Cynara cardunculus and Ficus carica. These findings highlight the potential of BSG-derived proteases as alternative coagulants for cheese production, offering a sustainable link between the brewing and dairy industries.
Application of Complex Fuzzy Relational Compositions to Medical Diagnosis
Authors: Gulzar Muhammad , Ashraf Samina , Kerre And Etienne E
Published: October 2024

The capability of the complex fuzzy sets plays a valuable role to resolve many real life problems. In this paper, we present the compositions of complex fuzzy relations by using the idea of implication operators and max-product compositions of complex fuzzy relations and illustrate these compositions with concrete examples. The converse of these newly invented triangular compositions in terms of compositions of the converse relations are also defined. We also study the interactions with union and intersection. The main goal of this article to present a new technique to enhance medical diagnostic model that can assist to increase the features of healthcare systems. We utilize these compositions to determine the diseases of patients on the basis of intensity of symptoms.
Diatoms as an Indicator of Water Quality in the Kuils River, Western Cape, South Africa
Authors: Kuturo Leona , Malaza Ntokozo , Paulse Arnelia , Mpungose Philani
Published: October 2024

Rivers are crucial hydrological cycle components, supporting ecosystems and human activities. Managing and protecting river water quality is essential. Diatoms, microscopic algae, are widespread and sensitive to changes in water quality, making them effective bioindicators. This study focused on the Kuils River in the Western Cape, South Africa, where diatom sampling was conducted at four sites. Their communities are affected by different physicochemical parameters, such as changes in pH, salinisation, eutrophication, and organic enrichment. A total of 98 diatom species were identified. The Omnidia software was used to calculate the Generic Diatom Index, Specific Pollution Index, and Trophic Diatom Index. Historical physicochemical data from the Department of Water and Sanitation provided a reference for comparing diatom communities. The results showed clear signs of pollution, as shifts in diatom species composition were observed. Pollu-tion-tolerant species like the Nitzchia palea, Navicula viridula, Eunotia bilunaris, and Fragilaria ulna dominated, while less pollution-tolerant species like Gomphonema parvulum and Cyclotella meneghiniana were less abundant. Both diatom indices and physicochemical data indicated poor water quality in the Kuils River. The study concludes that diatoms are a valuable tool for biomonitoring river water quality and recommends their use alongside traditional physicochemical methods for future assessments of river sys-tems.
Development of Functional Bread: Exploring the Nutritional, Bioactive and Microbial Potential of Carob Pulp Flour
Authors: Zahorec Jana , Šoronja-Simović Dragana , Petrović Jovana , Šereš Zita , Pavlić Branimir , Božović Danica , Perović Lidija , Martić Nikola , Bulut Sandra , Kocić-Tanackov Sunčica
Published: October 2024

For the development of a high-quality functional bread it is of crucial importance to find a compromise between improving the functional value of the product and impairing its quality. Therefore, the primary aim of this work was to define the effects of carob pulp flour (CF; 10-20% on flour basis) on rheological behavior of dough and quality parameters of bread. Introduction of CF caused a major increase in dough resistance while significantly decreasing dough extensibility, resulting in lower volume with denser crumb structure of obtained bread samples. The negative effects of CF on dough and bread characteristics were partialy compensated by the addition of dry sourdough (DS) as an improver in the amount of 5-10% (flour basis). It was determined that by combining 15% CF and 10% DS bread of very good sensory quality can be produced. The content of total dietary fiber (6.48 g), Mn (0.76 mg) and Cu (0.21 mg) per 100 g of mentioned bread was sufficient for the nutritional claims: "high in fiber", "high in manganese" and "source of copper". Obtained bread had 10 times higher content of total phenols and multiple times higher antioxidant activity compared to the control. Moreover, microbiological tests confirmed the durability of bread with 15% CF and 10% DS up to seven days. Therefore, carob pulp flour can be successfully applied in the production of bread, which characteristics are adapted to modern trends in nutrition.
Survival Benefit of Primary Tumor Treatment in Uveal Melanoma: A Re-analysis of COMS and NHS Cohorts
Authors: Stalhammar Gustav , Witzenhausen Hans
Published: October 2024

Objective:
To evaluate whether primary tumor treatment provides a survival benefit in uveal melanoma by comparing patients who declined treatment (Natural History Study, NHS) with those who received treatment in the Collaborative Ocular Melanoma Study (COMS) for medium-sized choroidal melanomas.

Methods:
A retrospective cohort study was conducted using reverse-engineered individual-level survival data from cumulative all-cause mortality curves in the original COMS and NHS publications. Censoring patterns were estimated from numbers at risk and descriptive statistics. To ensure a conservative approach, a Bonferroni-corrected significance level of 0.017 was applied. Further, if the Cox regression hazard ratio for all-cause mortality, the unadjusted risk ratio for death at 8 years, and the 95% confidence intervals (CIs) of the Kaplan-Meier curves did not indicate a smaller survival difference for the resulting data than reported in the original studies, we iteratively adjusted the NHS cohort data by reducing the 8-year cumulative mortality by one percentage point until these criteria were met.

Results:
Kaplan-Meier analysis revealed significantly higher cumulative mortality in the NHS cohort compared to the COMS cohort (Log-rank P = 0.012). When restricting the analysis to the first 8 years to account for unclear censoring patterns beyond this period, the NHS cohort still demonstrated worse survival (P = 0.008). Sensitivity analysis varying censoring times by ±25% over 1,000 iterations confirmed worse survival in the NHS cohort in 100% of cases.

Conclusions:
Patients who declined primary tumor treatment had significantly worse survival than those who received treatment. These findings support the hypothesis that primary tumor treatment confers a survival benefit in uveal melanoma.
Rate-Compatible, Bandwidth-Efficient LDPC Codes for Aeronautical Telemetry
Authors: Cummins Andrew D. , Mitchell David G. M. , Perrins Erik
Published: October 2024

Low-density parity-check (LDPC) codes form part of the IRIG-106 standard and have been successfully deployed for the Telemetry Group version of shaped-offset quadrature phase shift keying (SOQPSK-TG) modulation. Recently, LDPC code solutions have been proposed and optimized for continuous phase modulations (CPMs), including pulse code modulation/frequency modulation (PCM/FM) and the multi-h CPM developed by the Advanced Range TeleMetry program (ARTM CPM). These codes were shown to perform around one dB from the respective channel capacities of these modulations. In this paper, we consider the effect of random puncturing and shortening of these LDPC codes to further improve spectrum efficiency. We perform asymptotic analyses of the ARTM0 code ensembles and present numerical simulation results that affirm the robust decoding performance promised by LDPC codes designed for ARTM CPM.
Understanding Sodium: Edelman’s Insights and Framework for the Management of Dysnatremias: A Narrative Review of Literature
Authors: Flores Jackeline , Pena-Hernandez Camilo , Nugent Kenneth
Published: October 2024

Clinicians have long faced challenges and decisions regarding sodium management in their patients. They must have a good understanding of the physiology of sodium, its metabolism, distribution in the body, and the consequences of changes in sodium content and concentration seen frequently in different settings of patient care and across different specialties. Multiple studies and several formulas are currently available to help manage cases with dysnatremia. These tools require a detailed focus to benefit patients in the short and long term and to avoid consequences due to poor decisions leading to severe and potentially fatal complications, including osmotic demyelination syndrome. This review will consider different aspects of sodium metabolism, the role sodium has in patients with edema, the evolution sodium management based on Edelman’s studies and related formulas, and other considerations regarding sodium storage in the skin currently relevant for a more in-depth approach to the management of patients with dysnatremias.
Speed-Dedup: A New Deduplication Framework for Enhanced Performance and Reduced Overhead in Scale-Out Storage
Authors: Hamandawana Prince , Cho Da-Jung , Chung Tae-Sun
Published: October 2024

Conventional deduplication systems face critical challenges such as excessive write amplification, high read/write latency, and sub-optimal storage utilization. These limitations often undermine the performance benefits of deduplication by slowing down I/O acknowledgements, due to amplified deduplication I/Os, excessive data chunk replication and strict consistency requirements. To address these issues, we present Speed-Dedup, a novel deduplication framework that employs a deduplicated primary - semi deduplicated replica object approach. This strategy reduces write amplification by restricting deduplication to the primary object while maintaining a semi-deduplicated replica object used for immediate read/write acknowledgements, thus enhancing I/O latency and storage efficiency. Speed-Dedup also replaces traditional strong consistency models with eventual consistency, allowing for non-blocking read operations and improving overall system throughput. Experimental results demonstrate that Speed-Dedup significantly outperforms traditional methods like GRATE and CAO, showing up to 21% improvement in I/O performance under low deduplication ratios and maintaining 14% or more gains under higher ratios. Additionally, write amplification is substantially reduced, and latency improves by over 100%, with faster recovery times during system failures. These findings highlight the effectiveness of Speed-Dedup as a scalable and efficient solution.
Is a Synaptic Dysfunction the Origin of Autism?
Authors: Bittmann Stefan
Published: October 2024

Autism in childhood is a heterogeneous disease with around 110 phenotypes. Around 800 genes are affiliated with autism including members of neuro-ligand, neurexin, cadherin, GABA receptors, SHANK gene families, mutated UBE3 A on chromosome 15 and SNORD 116 precursor interaction. A predominant 4:1 male to female ratio is found in autistic spectrum disorder. 50 per cent of all autistic children show chromosome deletions and duplications, these are often found on the 15th and 16th chromosome. Copy number repeat variants in DNA are also well described in pathogenesis of autism patients. There is an overlap with other neurodevelopmental syndromes like tuberous sclerosis, Williams-syndrome, Phelan McDermid syndrome and Sphrintzen syndrome. The hypothesis of the term “atypical connectivity” in different brain regions with partial under- and overconnectivity with reduced brain networking at the psychosocial level was described. Different hypothesis about the origin of autism in children were described. The hypothesis of early lack of basic trust, mercury intoxication and different aspects concerning the origin of this extraordinary disease of 2 percent of children were stated but not confirmed to date. Especially low immature production of IgF-1 by oligodendrocytes in the corpus callosum leads to slowing of the PI3K/AKT chain activation of myelination that Ig-F1 could play an important role in the origin of the disease. Synaptic dysfunction with hypomyelination and impaired impulse transmission seem to play an extraordinary role with under- and overconnectivity with reduced brain networking at the psychosocial level in autistic children. Functional underconnectivity is found in 5 different brain areas, prefrontal, parieto-occipital, motor, somatosensory and the temporal region. Functional overconnectivity is often present in temporo-thalamic regions. Recent research shed light on synaptic dysfunctions with disrupted normal impulse signaling. In this review the different neurochemical findings and the correlation of synaptic dysfunction in autistic children will be closely evaluated.
Drug Repurposing for Cancer Treatment: A Comprehensive Review
Authors: Al Khzem Abdulaziz H. , Gomaa Mohamed Sayed , Alturki Mansour , Tawfeeq Nada , Sarafroz Mohammad , Alonaizi Shareefa , Al Faran Alhassan , Alrumaihi Laela , Alansari Fatima , Alghamdi Abdullah
Published: October 2024

Cancer ranks among the primary contributors to global mortality. In 2022, the global incidence of new cancer cases reached about 20 million, while the number of cancer-related fatalities reached 9.7 million. Exclusively in Saudi Arabia, there are 13,399 deaths caused by cancer and 28,113 newly diagnosed cases of cancer. Drug repurposing is a drug discovery strategy that gained special attention and implementation to enhance the process of drug development due to its time and money saving effect. It involves repositioning existing medications to new clinical applications. Cancer treatment is one of the most therapeutic areas where drug repurposing has shown prominent impact. This review presents a compilation of medications that have been repurposed for the treatment of various types of cancers. It describes the initial therapeutic and pharmacological classes of the repurposed drugs and their new applications and mechanism of action in cancer treatment. The review reports on drugs from various pharmacological classes that have been successfully repurposed for cancer treatment including approved ones and those in clinical trials and preclinical development. It stratifies drugs based on their anticancer repurpose as multi-type, type-specific, and mechanism directed and according to their pharmacological classes. The review also reflects on the future potential that drug repurposing has in the clinical development of novel anticancer therapies.
Future-Oriented Nanosystems Composed of Polyamidoamine Dendrimer and Biodegradable Polymers as Anticancer Drug Carrier for Targeted Treatment
Authors: Strzelecka Katarzyna , Kasiński Adam , Biela Tadeusz , Bocho-Janiszewska Anita , Laskowska Anna K. , Szeleszczuk Łukasz , Gawlak Maciej , Sobczak Marcin , Oledzka Ewa
Published: October 2024

Background/Objectives: Camptothecin (CPT) is a well-known chemical compound recognized for its significant anticancer properties. However, its clinical application remains limited due to challenges related to CPT’s high hydrophobicity and the instability of its active form. To address these difficulties, our research focused on the development of four novel nanoparticulate systems intended for either oral or intravenous administration; Methods: These nanosystems were based on a poly(amidoamine) (PAMAM) dendrimer/CPT complex, which had been coated with biodegradable homo- and copolymers, designed with appropriate physicochemical properties and chain microstructures; Results: The resulting nanomaterials, with diameters ranging from 110 to 406 nm and dispersity values between 0.10 and 0.67, exhibited a positive surface charge and were synthesized using biodegradable poly(L-lactide) (PLLA), poly(L-lactide-co-ε-caprolactone) (PLACL), and poly(glycolide-co-ε-caprolactone) (PGACL). Biological assessments, including cell viability and hemolysis tests, indicated that all polymers demonstrated less than 5% hemolysis, confirming their hemocompatibility for potential intravenous use. Furthermore, fibroblasts exposed to these matrices showed concentration-dependent viability. The entrapment efficiency (EE) of CPT reached up to 27%, with drug loading (DL) values as high as 17%. The in vitro drug release studies lasted over 400 h with the use of phosphate buffer solutions at two different pH levels, demonstrating that time-dependent processes allowed for a gradual and controlled release of CPT from the developed nanosystems. The release kinetics of the active compound at pH 7.4 ± 0.05 and 6.5 ± 0.05 followed near-first-order or first-order models, with diffusion and Fickian/non-Fickian transport mechanisms. Importantly, the nanoparticulate systems enabled the stabilization of the pharmacologically active form of CPT, while providing protection against hydrolysis, even in physiological environments; Conclusions: In our opinion, these results underscore the promising future of biodegradable nanosystems as effective drug delivery systems (DDSs) for targeted cancer treatment, offering stability and efficacy over short, medium, and long-term applications.
Extended Development of the Molten Salt Reactor Specific Dynamics Code TMSR3D for Simulation of Light Water Reactors
Authors: Cui Yong , Shang Jing , Mei Longwei , Tong Jianfei
Published: October 2024

The molten salt reactor (MSR) specific 3D spatial dynamics code leveraging the neutronics and thermal-hydraulics (TH) coupling method, TMSR3D, has been extended for static and transient analysis of large advanced light water reactors (LWRs), particularly focusing on control rod ejection accidents. The code is built upon the neutron diffusion model leveraging the widely used "two-step" strategy in three-dimensional Cartesian coordinates. A polynomial nodal expansion method (NEM) is utilized to handle spatial variables, while the neutron kinetics solver employs the exponential transformation technique. The code also integrates a single-channel TH module and a steam table set at 15.5 Mpa. The accuracy of the code has been validated through three transient benchmarks, including the 3D-LRA benchmark for boiling water reactors (BWRs), the NEACRP 3D benchmark, and the MOX/UO2 core benchmark for pressurized water reactors (PWRs). These benchmarks cover both static and transient behaviors, and the results have been thoroughly analyzed. The close alignment of extended version of TMSR3D outcomes with reference data and other codes supports its reliability, making it a promising tool for future dynamic analyses of large-scale advanced PWRs.
Comparative Analysis of Air Conditioning Unit Performance with and without External Cooling System
Authors: Aldorihim Bander Abdulrazaq
Published: November 2024

In this study, we explored the integration of evaporative cooling pads (ECPs), typically used for cooling open areas in arid climates, with split air conditioning systems. The objective was to assess the improvement in cooling efficiency and the reduction in electricity consumption. Two experimental setups were evaluated: a standard setup without an evaporative cooling system (ECS) and an enhanced setup incorporating ECS. The ECS was installed behind the outdoor air conditioning unit, positioned near the condenser, and supplied with water through a pump system. The key performance metric was electricity consumption, and the findings revealed a significant 36% reduction in energy usage when the ECS was employed. Additionally, the cooling performance within the conditioned space improved. This study demonstrates the potential of integrating evaporative cooling systems into air conditioning units to enhance energy efficiency in desert environments, with a detailed comparison of system performance based on air conditioner capacity and electrical current readings.
Magnesium and Longevity
Authors: Chambers Patrick
Published: October 2024

Magnesium (Mg) is not prominent among the list of well known anti-aging agents. Yet the signs and symptoms of aging mimic those of Mg deficiency. Mg is a required cofactor for over 800 enzymatic reactions (as of 2022). This review does not correlate Mg status with clinical data on agents linked to longevity. The approach is physiologic and highlights specific Mg dependent reactions required by these longevity linked biomarkers. Many of these share common pathways to extend healthspan. Mg is a required cofactor in the synthesis of vitamin D and melatonin and activation of five of the eight B vitamins. It is a required cofactor for all CYP450 enzymes. It is directly responsible for the appropriate methylation of proteins and DNA, which control the epigenome. The MTHFR (methylenetetrahydrofolate reductase) 677T allele that compromises methylation is present in a majority of Americans. Aberrant methylation predicts the severity of Covid-19 and its persistence into long Covid. Mg is a silent benefactor that may indirectly link these longevity agents, but only if viewed in context with calcium (Ca), i.e., Ca:Mg. Both compete for the same receptor. To fully exploit these longevity agents sufficient Mg is required. The pertinent physiology is presented.
Next Generation Sequencing of Chinese Children with Congential Hearing Loss Reveals Rare and Novel Variants in Known and Candidate Genes
Authors: Sun Yu , Chen Wei , Jin Yuan , Liu Xiaozhou , Zhang Qiong , Xiong Ying , Hu Yao , He Haixia
Published: October 2024

Hearing loss (HL) is the most common disorder in newborns with a highly heterogeneous genetic background. Despite significant progress in screening and identifying genes related with congential hearing loss, there are still candidate genes implicated in HL that remain undiscovered. We investigated HL in 43 China families that segregate bilateral sensorineural via whole-exome sequencing(WES) and Sanger sequencing. Variants were found in 10 known non-syndromic hearing loss (NSHL) genes, 5 known syndromic hearing loss(SHL) genes and a candidate HL genes ATP7B. RNA sequencing reveals ATP7B mRNA expression of in developing and adult cochlea. Immunohistochemistry of the adult mouse cochlear tissue revealed prominent expression of ATP7B in the organ of Corti and the spiral ganglion neuron. Overall, we propose a new candidate genes ATP7B for congential hearing loss and novel variants in known HL genes, which expand our understanding of the etiology of HL.
Exploring Determinants and Predictive Models of Latent Tuberculosis Infection Outcomes in Rural Areas of the Eastern Cape: A Pilot Comparative Analysis of Logistic Regression and Machine Learning Approaches
Authors: Faye Lindiwe Modest , Magwaza Cebo , Dlatu Ntandazo , Apalata Teke
Published: October 2024

Latent Tuberculosis Infection (LTBI) poses a significant public health challenge, especially in populations with high HIV prevalence and limited healthcare access. Early detection and targeted interventions are essential to prevent the progression of active tuberculosis. This study develops predictive models for LTBI outcomes using logistic regression and machine learning approaches and evaluates strategies to improve LTBI awareness and testing. Data from rural areas in the Eastern Cape, South Africa, were analyzed to identify key demographic, health, and knowledge-related factors influencing LTBI outcomes. Logistic regression was employed to pre-dict LTBI positivity based on factors such as age, education, and HIV status. Machine learning models, including decision trees and random forests, were also applied to compare predictive accuracy. A knowledge diffusion model was used to assess the impact of educational interventions on increasing LTBI awareness and testing rates. Logistic regression achieved an accuracy of 66.67% with high precision (80%) but low recall (33%) for LTBI-positive cases, identifying age, HIV status, and LTBI awareness as significant predictors. The random forest model outperformed logistic regression in accuracy (59.26%) and F1-score (0.63), providing a better balance between precision and recall. Feature importance analysis revealed that age, occupation, and knowledge of LTBI symptoms were the most critical factors across both models. The knowledge diffusion model demonstrated that targeted interventions significantly increased LTBI awareness and testing, particularly in high-risk groups. While logistic regression offers more interpretable results for public health interventions, machine learning models like random forests provide enhanced predictive power by capturing complex relationships between demographics and health factors. These findings highlight the need for targeted educational campaigns and increased LTBI testing in high-risk populations, particularly those with limited awareness of LTBI symptoms.
Oral Oligofructose Challenge Induces Apoptosis in Damaged Laminar Tissue of Acute Laminitis in Dairy Cows
Authors: Hayat Muhammad Abid , Ding Jiafeng , Zhang Xianhao , Tao Liu , Zhang Jiantao , Wang Hong Bin
Published: October 2024

The objective of this research was to examine apoptosis status in the laminar tissue of dairy cows with OF-induced laminitis. A total of 12 clinically healthy non-pregnant Holstein cows were randomly allocated into 2 groups of 6 cows each: the control group and the oligofructose treated group (OF group), respectively. At 0 h, 17 g/kg BW of oligofructose dissolved in 20 mL/kg BW of warm deionized water were administered to the dairy cows of OF group via a stomach tube, and dairy cows in control group were received with the said volume of deionized water by the same method. At -72 h before and 0 h, 6 h, 12 h, 18 h, 24 h, 36 h, 48 h, 60 h, and 72 h after OF overload, clinical examination in both groups were performed. After 72 h, laminar tissues of dairy cows in both groups were taken to determine genes and proteins. We observed that the gene expression of Bax (P<0.01), and P53 (P<0.05) significantly up-regulated, whereas that of Bcl2 significantly down-regulated (P<0.01) in the afflicted cows compared to the control cows. The protein expression of Bax (P<0.01), Bif1 (P<0.01), caspase3 (P<0.01), caspase8 (P<0.05), and caspase9/9p (P<0.05) significantly up-regulated, while that of Bcl2 significantly downregulated (P<0.01) in the afflicted cows compared to the control cows. Moreover, the distribution of Bax (P<0.01) and P53 (P<0.01) proteins in laminar tissue significantly up-regulated (P<0.01) in the sick cows compared with the control cows. These results suggested that unregulated genes and proteins status of apoptosis-associated indicators may be a typical cause for epidermal attachment failure which serves a key role in the pathogenesis of dairy cow laminitis. Nevertheless, further large-scale gene and protein-level studies are required to fully explain the pathogenesis of laminitis in dairy cows.
To What Extent Does General Relativity Provide Generalization?
Authors: ŞAHİN İNANÇ
Published: October 2024

In this paper we discuss whether Einstein’s initial expectations before he developed the theory of general relativity were fulﬁlled and whether general relativity fully satisﬁed him in this respect. Einstein employed the equivalence principle as a guiding principle in the development of general relativity. We follow Einstein’s historical reasoning on the equivalence principle by adopting a dynamical approach to relativity and question the theory of general relativity he arrived at in terms of his initial expectations. The key issue here is related to the interpretation of gravitational and inertial “ﬁelds” in the equivalence principle. Einstein spoke of the identity of these two notions. This reveals that his intention was to unify gravitation and inertia. In fact, the issue is also related to the extent of generalisation provided by general relativity. Einstein demands a strong generalization in general relativity that requires the equality of all frames, including accelerating frames, in the same way that the relative character of velocity provides in special relativity. However, general relativity does not provide such a strong generalisation as expected from it. Furthermore, in general relativity, the gravitational ﬁeld is reduced to inertia, but the two are not fully uniﬁed. We therefore argue that Einstein’s initial expectations of general relativity were not met and that the theory did not fully satisfy him. Nevertheless, we show that there is a satisfactory way out. On the basis of some heuristic arguments, we demonstrate that if gravitational and non-gravitational interactions are uniﬁed into a single elementary interaction at the most fundamental level in nature, then inertia and gravitation are fully uniﬁed and the strong generalisation being sought can be obtained. We speculate that Einstein was well aware of this fact and one of his motivations (perhaps the most important one) in his long search for a uniﬁed ﬁeld theory was an attempt to fulﬁll his initial expectations about general relativity.
Electroencephalogram (EEG) in ADHD: A Comprehensive Systematic Review of Diagnostic and Therapeutic Applications
Authors: Altable Marcos , Díaz-Moreno Emilio , Fulgheri Federica
Published: October 2024

Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common neuropsychiatric disorders in childhood and can persist into adulthood. Despite its prevalence, diagnosis remains primarily clinical, and it is based on behavioural observation and standardised questionnaires but with few objective tools to validate diagnoses. The use of electroencephalogram (EEG) has emerged as a potential tool to identify neurophysiological biomarkers of ADHD, and research on EEG-based neurofeedback has shown promising results as a therapeutic intervention. This article reviews recent studies looking at the role of EEG in the assessment and treatment of ADHD, with a focus on key findings, current limitations, and future directions.
Application of ResUNet-CBAM in Thin Section Image Segmentation of Rocks
Authors: Zhao Ling , Zhang Huili , Sun Xianda , Xu Chengwu , Qin Xudong
Published: October 2024

The application of deep learning convolutional neural networks (CNNs) for rock image characterization has become a prominent method in petroleum geology both nationally and internationally. Precise and automated segmentation of rock sheet images is essential for effective analytical studies. This research addresses the limitations of traditional image segmentation methods, which suffer from low accuracy and high costs in analyzing reservoir rock flakes. We propose an advanced model based on the U-Net architecture, incorporating both attention mechanisms and residual networks. The inclusion of residual modules enhances the network's depth, while the Convolutional Block Attention Module (CBAM) improves feature representation by adjusting the weighting of learned information. Extensive experimental results demonstrate that this approach delivers superior segmentation performance, marking a significant advancement in the field of reservoir rock image analysis.
Adaptive Compensatory Neurophysiological Biomarkers of Motor Recovery Post-Stroke: EEG and TMS Insights from the DEFINE Cohort Study
Authors: Lacerda Guilherme Jose Machado , Silva Fernanda M Q , Pacheco-Barrios Kevin , Battistella Linamara Rizzo , Fregni Felipe
Published: October 2024

Objective: This study aimed to explore longitudinal relationships between neurophysiological biomarkers and upper limb motor function recovery in stroke patients, focusing on electroencephalography (EEG) and transcranial magnetic stimulation (TMS) metrics.
Methods: This longitudinal cohort study analyzed neurophysiological, clinical, and demographic data from 102 stroke patients enrolled in the DEFINE cohort. We investigated the associations between baseline and post-intervention changes in EEG Theta/Alpha Ratio (TAR) and TMS metrics with upper limb motor functionality, assessed by five outcomes: Fugl-Meyer Assessment (FMA), Handgrip Strength Test (HST), Pinch Strength Test (PST), Finger Tapping Test (FTT), and Nine-Hole Peg Test (9HPT).
Results: Our multivariate models identified that a higher baseline TAR in the lesioned hemisphere was consistently associated with poorer motor outcomes across all five assessments. Conversely, a higher improvement in TAR was positively associated with improvements in FMA and 9HPT. Additionally, increased TMS Motor Evoked Potential (MEP) amplitude in the non-lesioned hemisphere correlated with greater FMA-diff, while lower TMS Intracortical Inhibition (ICI) in the non-lesioned hemisphere was linked to better PST improvements. These findings suggest the potential of TAR and TMS metrics as biomarkers for predicting motor recovery in stroke patients.
Conclusion: Our findings highlight the significance of TAR in the lesioned hemisphere as a predictor of motor function recovery post-stroke and also a potential signature for compensatory oscillations. The observed relationships between TAR and motor improvements, as well as the associations with TMS metrics, underscore the potential of these neurophysiological measures in guiding personalized rehabilitation strategies for stroke patients.
Braf-Mutant Melanomas: Biology and Therapy
Authors: Pelosi Elvira , Castelli Germana , Testa Ugo
Published: October 2024

The incidence of melanoma, the most lethal form of skin cancer, has increased due to ultraviolet exposure. The molecular characterization of melanomas has shown a high mutational burden led to the identification of some recurrent genetic alterations. BRAF gene is mutated in 40-50% of melanomas and its role in melanoma development is paramount. BRAF mutations confer constitutive activation of MAPK signalling. The large majority (abou 90%) of BRAF mutations occur at amino acid 600; the majority are BRAFV600E mutations and less frequently BRAFv600K, V600D and V600M. The introduction of drugs that directly target BRAF-mutant protein (BRAF inhibitors) and of agents that stimulate immune response through targeting of immune check inhibitor consistently improved the survival of melanoma BRAFV600-mutant patients with unresectable/metastatic disease. In parallel, studies in melanoma stage II-III patients with resectable disease have shown that adjuvant therapy with ICIs and/or targeted therapy improves PFS and RFS, but not OS compared to placebo; however, neoadjuvant therapy plus adjuvant therapy improved therapeutic response compared to adjuvant therapy alone.
Heritability and Correlation Estimates for Serum Insulin-Like Growth Factor I Concentration, Weight, Weight Gain, and Height in Angus Beef Cattle in a Long-Term Divergent Selection Study for Serum Insulin-Like Growth Factor I (1989 to 2017)
Authors: Davis Michael E , Simmen Rosalia C. M.
Published: October 2024

This study investigated the genetic parameters for serum IGF-I concentrations and growth traits in beef cattle. A divergent selection experiment for serum IGF-I concentration was initiated in 1989. One hundred spring-calving (50 high line and 50 low line) and 100 fall-calving (50 high line and 50 low line) Angus cows with unknown IGF-I concentrations were randomly assigned to the two divergent selection lines. For the 2009 through 2017 breeding seasons, the selection criterion in the two lines was changed from serum IGF-I concentration to high vs. low maintenance energy expected progeny differences (ME EPD). The number of records available for analysis varied from 2,056 for IGF-I concentration on day 42 of the postweaning performance test to 2,988 for birth weight, with the exception that only 617 records were available for IGF-I concentration at weaning. (Co)variance components were estimated for direct and maternal additive genetic effects using an animal model and multiple-trait, derivative-free, restricted maximum likelihood (MTDFREML) computer programs. Direct heritability estimates for serum IGF-I concentrations ranged from 0.34 ± 0.07 to 0.46 ± 0.07, whereas direct heritability estimates for weight traits ranged from 0.32 ± 0.05 to 0.39 ± 0.07. Maternal genetic effects on IGF-I were minimal, with estimates ranging from 0.02 ± 0.11 to 0.17 ± 0.05, and were similarly low for weight traits. Maternal permanent environmental effects were negligible for IGF-I but were larger for weight traits, especially for weaning weight (0.22 ± 0.04). Direct-maternal correlations for postweaning IGF-I concentrations were approximately -0.90. Genetic correlations of IGF-I concentration at weaning with postweaning IGF-I measures ranged from 0.63 to 0.90. Genetic correlations among IGF-I measures at the postweaning time points were also large (≥ 0.89). The genetic correlations of IGF-I with weight traits were generally low, with negative correlations observed for birth weight and small positive correlations for the other weight traits. Environmental and phenotypic correlations between IGF-I concentrations and growth traits were generally low, indicating that shared environmental influences are minimal and that circulating IGF-I has a modest impact on growth traits in beef cattle.
Leveraging Machine Learning for Real-Time Personalization and Recommendation in Airline Industry
Authors: Barua Biman , Kaiser M. Shamim
Published: October 2024

The main focus of this research is to explore the development of machine learning (ML) within a microservices setting for travel applications that offer real-time personalization to create user engagement and satisfaction. The system utilizes context awareness that is dynamic and relevant to the user, such as user profiles, location, and current activities to generate appropriate recommendations that develop with the user. It emerged from testing that there was a marked increase in engagement as evidenced by the click-through rates (CTR) which improved by 15% from what was observed in the conventional systems signifying that the model had worked. Furthermore, the accuracy of the recommendations in relation to the user preferences registered 85% accuracy for the implemented ML models and in addition to that the system employed microservices therefore tools for scaling up while integrating all the components kept the latency at less than 500 ms even during the busiest loads. In addition, the level of adaptation that was real-time was also improved as the system was able to react at a faster pace to changes in data, such as even the delay of flights, and made recommendations to passengers that were situationally appropriate.Finally, it is established that personalization enabled by machine learning contributes towards enhancing customer satisfaction, retention rate, and response time in the travel industry. The convergence of micro services and machine learning can be viewed as a great solution to the performance evolution and scaling requirements of data intelligence responsive markets like the travel industry which are highly active and interactive in nature.