Variation Method Research Articles

RF shimming in the cervical spinal cord at 7 T.

Advancing the development of 7 T MRI for spinal cord imaging is crucial for the enhanced diagnosis and monitoring of various neurodegenerative diseases and traumas. However, a significant challenge at this field strength is the transmit field inhomogeneity. Such inhomogeneity is particularly problematic for imaging the small, deep anatomical structures of the cervical spinal cord, as it can cause uneven signal intensity and elevate the local specific absorption ratio, compromising image quality. This multisite study explores several RF shimming techniques in the cervical spinal cord. Data were collected from 5 participants between two 7 T sites with a custom 8Tx/20Rx parallel transmission coil. We explored two radiofrequency (RF) shimming approaches from an MRI vendor and four from an open-source toolbox, showcasing their ability to enhance transmit field and signal homogeneity along the cervical spinal cord. The circularly polarized (CP), coefficient of variation (CoV), and specific absorption rate (SAR) efficiency shim modes showed the highest B1 + efficiency, and the vendor-based "patient" and "volume" modes showed the lowest B1 + efficiency. The coefficient of variation method produced the highest CSF/spinal cord contrast on T2*-weighted scans (ratio of 1.27 ± 0.03), and the lowest variation of that contrast along the superior-inferior axis. The study's findings highlight the potential of RF shimming to advance 7 T MRI's clinical utility for central nervous system imaging by enabling more homogenous and efficient spinal cord imaging. Additionally, the research incorporates a reproducible Jupyter Notebook, enhancing the study's transparency and facilitating peer verification.

COMPARATIVE CHARACTERISTICS OF METHODS FOR THE PREVENTION OF DENTAL CARIES IN CHILDREN OF EARLY CHILDHOOD

The high prevalence and intensity of early childhood caries in Ukraine and in the world indicate insuffi cient attention of practical dentistry to the prevention of dental caries in young children. The development of adapted prevention programs considering the risk factors for the development of the disease remains relevant.Aim of the study. To compare the eff ectiveness of methods of pre- and postnatal prevention of early childhood dental caries based on correction of the microbial environment of the oral cavity and macro- and microelemental nutrition.Material and methods. The work was carried out within the framework of the research work of the Department of Pediatric Dentistry of the Bukovinian State Medical University «Development of methods of prevention and treatment of major dental diseases in children, taking into account the risk factors of their development» (DR # 0121U110122). The prenatal method of dental caries prevention was applied to a group of pregnant women (30 persons) whose average age was (25,17±1,05) years. It included the use of Elevit Pronatal and Iodomarin 200, one tablet daily, starting from the second trimester ofpregnancy, and a course of local probiotic therapy with BioGaya ProDentis chewable tablets, used for 20 days in the second trimester of pregnancy and 20 days before delivery. As a method of postnatal prevention of dental caries in children, a preventive complex was used, including the use of the probiotic BioGaya ProDentis and the vitamin and mineral complex Supervit. The course lasted three weeks twice a year. The preventive complex was applied to a group of children aged 2-3 years. The number of children in the control group was 30. The mean age of the group was (2.51±1.30) years. The eff ectiveness of preventive measures was evaluated by the prevalence and intensity of caries of primary teeth («kpv» and «kpppv»), the state of oral hygiene (M. E. Kuzmina index), the content of phosphate ions, inorganic and ionized calcium in the oral fluid of children, the content of mutans streptococci in the oral cavity and the concentration of sIgA in the oral fl uid of children. Statistical processing of the study results was performed using standard methods of variation. The study complied with all bioethical norms (conclusion of the Bioethics Commission of the Bukovinian State Medical University No. 4 dated 15.12.2022).Results of the study. The use of preventive complexes for early childhood caries, based on the supplementation of macro- and microelements and the infl uence on the microbial landscape of the oral cavity, are eff ective methods of prevention of caries of temporary teeth in children, which is confi rmed by a decrease in the prevalence and intensity of dental caries in children in the dynamics of their observation. Prenatal measures are more eff ective in the prevention of early childhood caries in children, as they optimize the processes of primary mineralization of hard dental tissues and thus strengthen them, reducing the risk of dental caries. Postnatal use of the drugs has a slightly lower preventive eff ect on early childhood caries, while it has a positive eff ect on the processes of secondary mineralization of tooth enamel, as it was found that the level of phosphate ions in the oral fl uid of children under these conditions increased by 23.72 % (p<0.05), and the level of total calcium decreased by 15.84 % and its free fraction by 25.86 % (p<0.05).Conclusions. Our results suggest that both methods of prevention of early childhood caries are eff ective, but prenatal prophylaxis is clinically more eff ective with respect to the hard tissues of temporary teeth in children, due to its eff ect on the processes of primary mineralization of enamel. Postnatal prophylactic measures have a positive eff ect on the secondary mineralization of the hard tissues of temporary teeth and the primary mineralization of permanent teeth and will have a clinical result in the long term.

Evaluation Method of Water Injection Development Effects in Fractured Vuggy Carbonate Reservoirs: Case Study of FI7 Strike-Slip Fault Zone

As the main method of secondary development, water injection has been widely used in fractured vuggy carbonate reservoirs. By using an evaluation index system combined with an integrated approach to objectively evaluate and support targeted and operational adjustments of water injection development effects in fractured vuggy carbonate reservoirs, a comprehensive evaluation method is established in this study. The CRITIC method is used as the main approach, and the analytic hierarchy process, the entropy weight method, and the coefficient of variation method are used as sub-methods. Additionally, the clustering centres are divided using the clustering method to reduce the error caused by the irrational distribution of the relevant evaluation index data. The method is used to evaluate and analyse the effects of water injection development, using the FI7 fault zone of the Halahatang oilfield as an example. The application results show that the evaluation method is feasible and effective for cases with small data volume, fewer computational resources, and less time. This study has a certain reference significance for the evaluation of the effect of water injection development in similar fractured vuggy reservoirs.

Digitally Driven Urban Governance: Framework and Evaluation in China

With the rapid development of digital technology, the role of digitalisation in urban governance continues to emerge. Building a theoretical analysis framework and evaluation system of digitally driven urban governance has important theoretical and practical significance for stimulating the efficiency of digital technology tools and improving the energy level of urban digital governance. This paper aims to explore the mechanism of urban governance enabled by digital technology, innovatively change the previous thinking mode that only attaches importance to facility construction and e-government platforms, adopt ecological thinking, and comprehensively consider the role of “soft elements” such as strategic support, industrial support, the security environment, talent support, and the market environment. Then, the extreme value variance method and the coefficient of variation method are used to calculate the overall capacity and secondary index scores of each city, and the standard deviation of secondary index scores is used to represent the sub-environmental balance of the cross-sectional data of China’s provinces. In order to further explore which indicators restrict the improvement of China’s urban digital governance capacity, this study also constructs an obstacle degree model. The results show the following: (1) The overall capability of China’s digitally driven urban governance is low, with a total score of 27.25, indicating that China’s digitally driven urban governance is in its infancy. (2) There is a significant development imbalance among Chinese provinces, with Beijing ranking first with a score of 81.16, and Tibet, Qinghai, Xinjiang, Heilongjiang, and Ningxia scoring less than 13.30 points, ranking as the bottom 5 among the 31 provinces. (3) The shortcomings of talent support, industrial support, and the security environment restrict the improvement of the entire digital ecological governance ability.

HAMLET AND GJORG BERISHA: A COMPARATIVE STUDY OF CHARACTERS

The art of literature has brought together the experiences of human society and foregrounded various artistic values. The effort to examine the elements of universalization in literature through the perspective of juxtaposition is an innovation of this study. The purpose of this paper is to highlight this type of universalization, recognizing two characters from different literatures, genres, and cultures. The work is based on the main theme, which is revenge, but it also deals with some key elements such as life, death, justice, honor, love, passion, etc., through which the characters are compared as a whole. The study provides a comparative perspective, where systematic juxtaposition assists in identifying shared and distinctive elements throughout the logical flow of the narrative. The compared elements are of different natures and different in contextual and social aspects (events, situations, psychological aspects, space-time, etc.). For the comparison of these elements, a blend of comparative methodology, juxtaposition, as well as methods of variation and inclusion have been employed. The study holds a novel scientific value, as it extensively delves into comparison through juxtaposition, and aims to explore universal literary issues by recognizing two characters, Gjorg Berisha and Hamlet.

Adaptive Weighted Bregman Huber Total Variation Method for Terahertz Computed Tomography

ABSTRACTTo improve the image quality of terahertz (THz) continuous wave (CW) computed tomography (CT) under sparse‐view projections, a sparse‐view adaptive‐weighted Bregman Huber total variation (AW‐BHTV) method is proposed and experimentally evaluated at 0.11 THz. The Huber function is served as the fidelity term and TV function is worked for the regularization term, optimized by the adaptive weights, incorporating with iterative algorithms containing the modified simultaneous algebraic reconstruction technique (MSART) and the iterative filtered back‐projection (FBP). Sparse‐view reconstruction experiments are carefully implemented via polystyrene (PS) foam samples: Sample 1 and Sample 2, respectively. Under 20 projection angles by MSART based AW‐BHTV, the values of rooted mean‐square‐error (RMSE), peak signal‐to‐noise ratio (PSNR), structure similarity (SSIM) and feature similarity (FSIM) are 0.0061, 22.1427, 0.8738 and 0.9902 for Sample 1 together with 0.0051, 22.9101, 0.8376 and 0.9885 for Sample 2 separately. All of the results above suggest that the proposed AW‐BHTV method can effectively protect image details and strengthen image quality in sparse‐view THz CW CT.

Sodium Alkyl(trimethylsilyl)amides: Substituent- and Solvent-dependent Solution Structures and Reactivities.

The preparation of sodium isopropyl(trimethylsilyl)amide (NaPTA), sodium (1-phenylethyl)(trimethylsilyl)amide (NaPETA), sodium tert-butyl(trimethylsilyl)amide (NaBTA), and isotopologues [15N]NaPTA and [15N]NaBTA are described. Solution structural studies using a combination of 29Si NMR spectroscopy, the Method of Continuous Variations, and density functional theory computations provided insights into aggregation and solvation in a range of solvents including toluene, N,N-dimethylethylamine, triethylamine, MTBE, THF, 1,2-dimethoxyethane (DME), diglyme, N,N,N',N'-tetramethylethylenediamine (TMEDA), N,N,N',N'-tetramethylcyclohexanediamine (TMCDA), N,N,N',N″,N″-pentamethyldiethylenetriamine (PMDTA). 12-crown-4, 15-crown-5, and 18-crown-6 revealed solvent- and substituent-dependent dimer-monomer mixtures with affiliated solvation numbers. Complexation of the three crown ethers documented both crown and substituent dependencies. Qualitative studies of reactivity showed a variety of reactions of NaPETA. Aminolysis of methyl benzoate with dialkylamines mediated by NaPTA afforded high yields of benzamides. Quantitative rate studies of aminolysis of methyl benzoate by NaPTA revealed a 47,000-fold range of rates. Detailed rate studies in toluene and THF showed dimer-based mechanisms. The role of primary- and secondary-shell solvation by THF is discussed, including nuances of methods used to separate the two contributions. PMDTA-solvated NaPTA monomer reacts as a monomer whereas bis-diglyme solvated monomer reacts as a dimer. Rate studies exploring the structure-reactivity correlations of the three crown ethers show mono- and bis-crown-based pathways in which 15-crown-5─the crown ether often said to be of choice for sodium─was decidedly inferior as an accelerant.

Evaluation of water richness in coal seam roof aquifer based on factor optimization and random forest method.

Water richness evaluation of coal seam roofs is a crucial prerequisite for preventing and controlling water hazards in coal seam roofs. For this purpose, Spearman correlation and GeoDetector were employed for factor optimization to investigate the significance of lithological and structural factors and the impact of interactions among different factors on the water richness of coal seam roofs. Water richness evaluation models of coal seam roofs were separately established via the entropy weight method (EWM), coefficient of variation method (CVM), and random forest method (RFM), and the predictive accuracies of these models were compared. Eleven lithological and structural factors were collected. Through Spearman correlation analysis, 6 factors were identified to have significant influences on water richness. By utilizing the interaction detection of GeoDetector, the effects of interfactor interactions on water richness were explored, and 3 combination factors were selected. AICc was used to determine the model's superiority. The evaluation results of the study area based on factor optimization and three methods were further compared and validated via pumping tests, workface water inflow tests, and three-dimensional high-density electrical method. The results indicated that the RFM exhibited higher prediction accuracy than did the entropy weight and coefficient of variation methods. Additionally, within each method, factor optimization led to improved model accuracy.

Microwave Coincidence Imaging with Phase-Coded Stochastic Radiation Field

Microwave coincidence imaging (MCI) represents a novel forward-looking radar imaging method with high-resolution capabilities. Most MCI methods rely on random frequency modulation to generate stochastic radiation fields, which introduces the complexity of radar systems and imposes limitations on imaging quality under noisy conditions. In this paper, microwave coincidence imaging with phase-coded stochastic radiation fields is proposed, which generates spatio-temporally uncorrelated stochastic radiation fields with phase coding. Firstly, the radiation field characteristics are analyzed, and the coding sequences are designed. Then, pulse compression is applied to achieve a one-dimensional range image. Furthermore, an azimuthal imaging model is built, and a reference matrix is derived from the frequency domain. Finally, sparse Bayesian learning (SBL) and alternating direction method of multipliers (ADMM)-based total variation are implemented to reconstruct targets. The methods have better imaging performance at low signal-to-noise ratios (SNRs), as shown by the imaging results and mean square error (MSE) curves. In addition, compared with the SBL and ADMM-based total variation methods based on the direct frequency-domain solution, the proposed method’s computational complexity is reduced, giving it great potential in forward-looking high-resolution scenarios, such as autonomous obstacle avoidance with vehicle-mounted radar and terminal guidance.

COMPLEXATION OF THE CURCUMIN BY THE CAFEIN IN ETHANOL BY MEANS OF UV – VIS SPETROPHOTOMETER

Why this miraculous and amphiphilic compound, curcumin, which has a very extraordinary therapeutic potential (because can react with many targets in the organism), has a weak bioavailability in the organism and is metabolized in compoumds having very weak activity or inactive compounds? How to improve substantially its bioavailability and therefore its absorption in the organism in order to allow its incorporation in making of pharmaceuticals regardless of its nanoparticles of which the obtention is furthermore hardworking? It seems indicated to search the response in the kinetic and thermodynamic behavior of this compound or in its co – administration with the other compounds (more soluble in water) in vitro in order to understand how to increase its absorption in vivo. So our objective is to make better our understanding of the absorption of natural curcuminoids in the organism without resorting to their chemical transformation in nanoparticles that is additionally hardworking. In this paper, curcumin was examined in the presence of cafein in ethanol with the aim to deepen the knowledge of the interaction between them. The study has revealed the presence of two complexes A6B4 and AB9 (A = curcumin, B = cafein), evidenced by the Job’s method (continuous variations method) whose complexation constants have been calculated and the value of K_(A_6 B_4 ) (1.12 1032) is higher than the value of K_(〖AB〗_9 ) (2.7 10-10) suggesting the great stability of A_6 B_4 .

Reinforcement Learning-Based Optimal Hull Form Design with Variations in Fore and Aft Parts

Abstract With recent advancements in artificial intelligence technology, various studies are being conducted in the shipbuilding industry. Traditionally, hull form variation methods have relied on the intuition and expertise of designers, leading to inconsistent results and unintended changes in the ship's main dimensions depending on the designer's competence. Moreover, the iterative process of design variation and analysis to derive the optimal hull form is both costly and time-consuming. To address these issues, this study proposes an optimal hull design technique utilizing reinforcement learning, a type of unsupervised learning in machine learning. Reinforcement learning allows the model to learn from past policies by recording and accumulating the rewards associated with various actions taken by an agent in a specific environment. In this study, after calculating the main parameters of the ship, the agent defines a state representing hull information and performs local transformations of the bow and stern. The reward of reinforcement learning is defined as the change in total resistance due to the hull deformation, constrained by limiting the tolerance of the ship's prismatic coefficient (CP) and longitudinal center of buoyancy (LCB). In this study, the problem is solved by comparing the proximal policy optimization (PPO) algorithm and the deep deterministic policy gradient (DDPG) algorithm to find the best deep reinforcement learning (DRL) model for the hull optimization problem. The results were compared with the genetic algorithm and speed-constrained multi-objective particle swarm optimization (SMPSO), and the optimal hull resistance values were less different, but the time of the reinforcement learning model was five times shorter.

Palestinian university students' perspectives on COVID-19 risk and remote learning during the pandemic: A qualitative photovoice study.

The COVID-19 pandemic has triggered major changes worldwide, with repercussions on mental health and education. The present study primarily aimed to retrospectively explore undergraduate students' risk perceptions of COVID-19 and their experiences with remote learning during the pandemic, with an emphasis on their high school years. This qualitative photovoice study was conducted between 30 March and 4 May 2023. The target population of this study was first- and second-year undergraduate students who had been in high school during the pandemic. Maximum variation, snowball, and convenience sampling methods were used to recruit students. They were asked to share photos and provide comments in written or voice messages explaining their experiences during the pandemic. Voice messages were manually transcribed verbatim. A manual content analysis of these comments was performed to derive the codes and themes relevant to the study objectives. Forty-seven students initially agreed to participate and signed an informed consent form. However, the final sample included 16 students (nine men and seven women). The content analysis revealed four themes that were identified as the main factors contributing to high school students' risk perceptions of COVID-19. The first theme was psychosocial factors related to the pandemic, including emotions, isolation and stress. The second focused on the mechanisms used to cope with the pandemic. The third theme included beliefs and behaviours that either increased or decreased COVID-19 risk. The final theme addressed schools' responses to COVID-19, including factors such as maintaining connections with schools, preventive measures and the transition to remote learning. This study highlighted the extensive impact of the pandemic on Palestinian high school students, demanding instantaneous adaptation to ensure their safety and well-being while maintaining the quality of education. Remote learning has become an important strategy with opportunities and challenges for high school students.

A method for structural framework variation of a multilayer field associated with complicated geology

Background. During the probabilistic resource base estimation, the largest uncertainties are associated with the wide range of the gross rock volume. In the course of the formation area work, the resulting maps of gross thickness are constructed incorrectly. Objective. To take into account facies zoning when varying the structural framework if working with the Achimov strata of a multilayer field. Materials and methods. The applied approach implies accounting of the errors in structural constructions in proportion to the power depending on facies zones. The authors proposed an additional stage of mapping using proportion maps to avoid obtaining geologically unrealistic local power anomalies. Results. A set of modified maps of the total thickness of clinocyclites was obtained, reflecting the key features of the geological structure of the modeling object, particularly facies differentiation and related lateral heterogeneity. Conclusions. The chosen approach to constructing maps of gross thickness allowed to obtain geologically realistic maps of effective thickness, which, in turn, formed the basis for mapping of productive volume.

Post-fire vegetation dynamic patterns and drivers in Greater Hinggan Mountains: Insights from long-term remote sensing data analysis

Fire has become a major disturbing factor in boreal forests, and giant forest disturbances play a vital role in regulating the climate under global warming. Therefore, it is essential to investigate the spatiotemporal patterns and main drivers of post-fire vegetation recovery for forest ecological research and post-fire recovery management. However, previous studies have focused on the post-fire forest change within the entire fire perimeter, lacking separate analysis and comparison of the burned zone (BZ) and unburned zone (UNBZ). Here, we propose the utilization of Moderate Resolution Imaging Spectroradiometer land cover type and vegetation index data to monitor vegetation dynamics and explore its drivers after the most serious forest fire in the history of P.R. China in the Greater Hinggan Mountains (GHM). The temporal and spatial patterns of vegetation recovery in the BZ/UNBZ in the GHM were analyzed using the Sen & Mann-Kendall method, Hurst index and coefficient of variation, and their driving mechanisms were explored using GeoDetector and geographically weighted regression. The results showed that there were significant differences in the spatial distribution and fluctuation of vegetation between the BZ and UNBZ, and that the BZ exhibited higher productivity and vigor. Vegetation recovery was influenced by different dominant factors and changed over time, in which land surface temperature and precipitation dominated all the time, whereas topographic relief and elevation had a more significant contribution to vegetation recovery in the BZ and UNBZ, respectively. This study provides a scientific basis for the protection and management of vegetation in disturbed forested areas, particularly after fires.

Assessment of Thermal Influence on an Orthodontic System by Means of the Finite Element Method.

The development of the finite element method (FEM) combined block polynomial interpolation with the concepts of finite difference formats and the variation principle. Because of this combination, the FEM overcomes the shortcomings of traditional variation methods while maintaining the benefits of current variation methods and the flexibility of the finite difference method. As a result, the FEM is an advancement above the traditional variation methods. The purpose of this study is to experimentally highlight the thermal behavior of two stomatognathic systems, one a control and the other presenting orthodontic treatment by means of a fixed metallic orthodontic appliance, both being subjected to several thermal regimes. In order to sustain this experimental research, we examined the case of a female subject, who was diagnosed with Angle class I malocclusion. The patient underwent a bimaxillary CBCT investigation before initiating the orthodontic treatment. A three-dimensional model with fully closed surfaces was obtained by using the InVesalius and Geomagic programs. Like the tissues examined in the patient, bracket and tube-type elements as well as orthodontic wires can be included to the virtual models. Once it is finished and geometrically accurate, the model is exported to an FEM-using program, such as Ansys Workbench. The intention was to study the behavior of two stomatognathic systems (with and without a fixed metallic orthodontic appliance) subjected to very hot food (70 °C) and very cold food (-18 °C). From the analysis of the obtained data, it was concluded that, following the simulations carried out in the presence of the fixed metallic orthodontic appliance, significantly higher temperatures were generated in the dental pulp.

Analysis Method of Dynamic Read Variation in a TFT-Type Synaptic Devices With Poly-Si Channel Structure

Analysis Method of Dynamic Read Variation in a TFT-Type Synaptic Devices With Poly-Si Channel Structure

Characterizing Ecological Sensitivity of Yangtze River Delta Urban Agglomeration in China

Ecological sensitivity, as one of the most important indicators to evaluate regional environmental issues, holds significant implications for ecological governance and management in the related area. This study utilized remote sensing imagery of Landsat Thematic Mapper (TM) from the Yangtze River Delta (YRD) in 2014 and 2018, combined with field surveys and socio-economic data. Considering the local ecological and environmental conditions in the region, nine factors related to seven aspects, soil erosion, topography, humidity, habitat, water environment, human interference, and climate, were selected to create an ecological sensitivity evaluation framework for the YRD urban agglomeration. The coefficient of variation method was applied to determine factor weights, while the zonal statistics and spatial overlay methods were used for a comprehensive analysis of ecological sensitivity in a geographic information system (GIS). The YRD urban agglomeration was categorized into five ecological sensitivity levels: extremely sensitive, highly sensitive, moderately sensitive, slightly sensitive, and insensitive. The analysis results revealed spatial variations in the distribution of ecological sensitivity across the YRD urban agglomeration, with the overall ecological sensitivity level being slightly sensitive. The proportions of the total area occupied by extremely sensitive, highly sensitive, moderately sensitive, slightly sensitive, and insensitive zones were 14.30%, 12.02%, 25.29%, 30.34%, and 18.05% in 2014, and 14.30%, 24.01%, 16.33%, 27.32%, and 18.05%, respectively, in 2018. Based on these results, relevant ecological vulnerabilities for the YRD urban agglomeration were discussed.

Software Tools for Integrating Special Quasirandom Structures and the Cluster Variation Method into the CALPHAD Formalism

Software Tools for Integrating Special Quasirandom Structures and the Cluster Variation Method into the CALPHAD Formalism

Genome-Wide Association Studies of Hair Whorl in Pigs.

In pigs, a hair whorl refers to hairs that form a ring of growth around the direction of the hair follicle at the dorsal hip. In China, a hair whorl is considered a negative trait that affects marketing, and no studies have been conducted to demonstrate whether hair whorl affects pig performance and provide an explanation for its genetic basis. Performance-measured traits and slaughter-measured traits of hair whorl and non-hair whorl pigs were differentially analyzed, followed by genome-wide association analysis (GWAS) and copy number variation (CNV) methods to investigate the genetic basis of hair whorl in pigs. Differential analysis of 2625 pigs (171 hair whorl and 2454 non-hair whorl) for performance measures showed that hair whorl and non-hair whorl pigs differed significantly (p < 0.05) in traits such as live births, total litter size, and healthy litter size (p < 0.05), while differential analysis of carcass and meat quality traits showed a significant difference only in the 45 min pH (p = 0.0265). GWAS identified 4 SNP loci significantly associated with the hair whorl trait, 2 of which reached genome-significant levels, and 23 candidate genes were obtained by annotation with the Ensembl database. KEGG and GO enrichment analyses showed that these genes were mainly enriched in the ErbB signaling, endothelial apoptosis regulation, and cell proliferation pathways. In addition, CNV analysis identified 652 differential genes between hair whorl and non-hair whorl pigs, which were mainly involved in the signal transduction, transcription factor activity, and nuclear and cytoplasmic-related pathways. The candidate genes and copy number variation differences identified in this study provide a new theoretical basis for pig breeding efforts.

Pharmacogenetics of Metformin Monotherapy: GSTM1/T1 Polymorphisms and T2DM Risk

Introduction: Metformin is a key treatment for type 2 diabetes, often linked to oxidative stress and genetic factors like GSTM1 and GSTT1 variations Method: We studied 150 subjects, examining how their deletion polymorphisms in these genes correlate with Met treatment response. Those with GSTM1/T1 deletions (-/-) had a higher T2DM risk (2.71-fold, P=0.005). Result: Met responders with GSTM1(16bp) deletions had lower glucose levels compared to non-responders (P&lt;0.0001), and similar trends were observed with GSTT1(54bp) deletions. Responders with both deletions also managed lipids better (P=0.0256; P=0.0151). Non-responders with GSTM1/T1 null genotypes had better HDL management (P=0.007). Conclusion: These findings suggested that GSTM1 deletion could predict T2DM susceptibility and Met response.