Type 2 Diabetic Mellitus Inhibits Skin Renewal through Inhibiting WNT-Dependent Lgr5+ Hair Follicle Stem Cell Activation in C57BL/6 Mice by Minghui Wang, Shangsheng Yao, Dehua He, Mulan Qahar, Jinqing He, Meifang Yin, Jun Wu, Guang Yang

“…This may be an important reason for the reduction of skin renewal ability and the formation of chronic wounds caused by diabetes. …”
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The Present Status of the Agriculture Sector Towards Sustainable Development in Sri Lanka: A Review of Existing Policies and Suggestions for Improvements by S.D. Dilini Rathnachandra

“…This is because certain issues are still prominent in the agriculture sector: yield losses, lower ability to share the latest information and experiences of organic agriculture, lower responsiveness of hybrid seeds in organic farming, unavailability of properly directed organic agricultural regulations and national standards, post-harvest losses during long distance transportation, limited research and development, higher prices of organic products, higher input costs, higher susceptibility to pests and diseases, and a shortage of organic inputs, etc. …”
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Improving the Quality Characteristics of Low-Fat Beef Burgers by Adding Different Levels of Rice Bran as a Source of Fibre by Nawar A.A. Al-Ghabawi, Aum El-Bashar H.J. Al-Mossawi

“…The loss after thawing, the cooking, and the shrinkage in diameter was also decreased with adding rice bran. The ability to hold water, the cooking yield, the percentage of retained moisture, and retained fat also increased. …”
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FERA-Net: A Novel Algorithm for Mars Water-Ice Cloud Segmentation Integrating Feature Enhancement, Residual, and Attention Mechanisms by Xu Ma, Jialong Lai, Zhicheng Zhong, Feifei Cui

“…The SC, incorporating spatial attention blocks (SAB) and channel attention blocks (CAB), along with the AG, improves the model's ability to capture key features. The R2CBL, through double convolution operations and residual connections, addresses the gradient vanishing problem and enhances feature extraction. …”
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About the Master’s Program “Creative Personnel Management”: Methodological Foundations by A. O. Grudzinskiy, I. V. Guskova, N. E. Serebrovskaya, V. V. Mariko

“…The main driving force behind the growth of innovative economies of developed and developing countries is a social group of people characterized by a high level of education, creative abilities and entrepreneurial behavior skills. This social group is called the “creative class”. …”
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Active games for increasing social and emotional competencies of young adults in probation system: a one-sample trial study in Izmir city in Turkiye by Inci Derya Yucel, Gorkem Yararbas

“…These competencies are the ability to regulate emotions, manage social relationships, and make responsible decisions. …”
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An Intelligent Crow Search Optimization and Bi-GRU for Forest Fire Detection System Using Internet of Things by Syed Abdul Moeed, Bellam Surendra Babu, M. Sreevani, B. V. Devendra Rao, R. Raja Kumar and Gouse Baig Mohammed

Subjects: “…internet of things, artificial intelligence,forest fire detection, efficientdet, bi-gru, crow search optimization…”
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Students’ Subjectness, Self-Efficacy and Psychological Well-Being: Comparative Research of Russian and Kazakhstan Students by V. G. Maralov, A. D. Kariyev, O. V. Krezhevskikh, M. A. Kudaka, L. E. Ageeva, E. N. Agranovich

“…The relevance of the study is due to the need to resolve the contradictions between the requirements of higher education for the personality of a young person and his real capabilities, manifested in the ability or inability to be the subject of his activity and his development. …”
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Key CT markers for predicting haemorrhagic transformation after ischaemic stroke: a prospective cohort study in China by Ming Liu, Qian Wu, Yanan Wang, Junfeng Liu, Chenchen Wei

“…We aimed to (1) investigate the predictive ability of the imaging factors on multimodal CT for HT and (2) identify the key CT markers that can accurately predict HT while maintaining easy and rapid assessment in the early stage of stroke.Design and setting This was a prospective cohort study conducted in a tertiary hospital in Southwest China.Participants Patients with ischaemic stroke admitted within 24 hours after onset were included.Outcome measures The primary outcome was measured as the overall HT. …”
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The Relation Between Learning Engagement and Academic Self-Efficacy Toward Academic Achievement among University Students by Hong-Ping Pang, Arsaythamby Veloo

“…Driven and facilitated by the power of the interactive field, the participants can reduce the sense of inferiority, overcome the fear of feeling and enhance the ability of introspection and self-efficacy. …”
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A Model of ESG-Transparency Index in Corporate Reporting by R. P. Bulyga, M. V. Melnik, I. V. Safonova, V. B. Gisin

“…By leveraging mathematical tools, this model quantitatively measures the level of Environmental, Social, and Governance (ESG) transparency, taking into account the requirements of stakeholders and evaluating a public company's ability to disclose comprehensive information.The research hypothesis posits that assessing ESG transparency in public company reporting based solely on the "quantity" of estimated values, while neglecting the critical factors of "quality" and "reliability," undermines the accuracy and reliability of the results. …”
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Application Progress of Transcranial Direct Current Stimulation Combined with Limb Therapy in Rehabilitation of Lower Limbs after Stroke by CHEN Hanbo, LU Xiao, ZHENG Wenhua, GUO Yongliang, YAN Tiebin

“…It has a great impact on their daily activities and self-care ability, and brings a heavy economic burden to the society and family financial situation. …”
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Study on Intelligent Classing of Public Welfare Forestland in Kunyu City by Meng Sha, Hua Yang, Jianwei Wu, Jianning Qi

“…A comprehensive comparison under different optimization techniques revealed significant improvements in classification accuracy and generalization ability over manual classification systems. The experimental results demonstrated that the GA-SVM model achieved classification accuracies of 98.83% (test set) and 99.65% (overall sample), with MCC values of 0.9796 and 0.990, respectively, outpacing other optimization algorithms, including Grid Search (GS) and Particle Swarm Optimization (PSO). …”
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Leveraging hybrid model of ConvNextBase and LightGBM for early ASD detection via eye-gaze analysis by Ranjeet Bidwe, Sashikala Mishra, Simi Bajaj, Ketan Kotecha

“…ASD is a mental developmental disorder that significantly impacts the behavioural and communicational abilities of the child. ASD is affecting the world hard, and its global presence continuously increases. …”
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Varying pixel resolution significantly improves deep learning-based carotid plaque histology segmentation by Yurim Lee, Rashid Al Mukaddim, Tenzin Ngawang, Shahriar Salamat, Carol C. Mitchell, Jenna Maybock, Stephanie M. Wilbrand, Robert J. Dempsey, Tomy Varghese

“…While the F1 score was not calculated for lumen, qualitative results illustrate the model’s ability to predict lumen. Hemorrhage was excluded as a class since only one out of 34 carotid endarterectomy specimens had sufficient hemorrhage for annotation.…”
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The role of multispiral computed tomography in detecting and the assessment of the degree of damage of esophago-gastric junction cancer by V. N. Diomidova, A. N. Dmitrieva

“…Purpose of the study. To find out the abilities of multispiral computed tomography (MSCT) using intravenous bolus injection in detecting and preoperative esophago-gastric junction cancer staging in order to improve preoperative diagnosis of this pathological condition.Materials and methods. …”
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Forecasting Foreign Exchange Volatility Using Deep Learning Autoencoder-LSTM Techniques by Gunho Jung, Sun-Yong Choi

“…Based on the empirical results, we can conclude that the proposed hybrid method, which we call the autoencoder-LSTM model, outperforms the traditional LSTM method. Additionally, the ability to learn the magnitude of data spread and singularities determines the accuracy of predictions made using deep learning models. …”
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The effect of thioredoxin and prochymosin coexpression on the refolding of recombinant alpaca chymosin by S. V. Belenkaya, D. N. Shcherbakov, A. I. Chapoval, T. I. Esina, V. V. Elchaninov

“…The choice of prochymosin as a model protein is due to the ability of autocatalytic activation of this zymogen, in which the pro-fragment is removed, together with the thioredoxin sequence attached to it, with the formation of active chymosin. …”
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Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems by B. B. Mirus, B. B. Mirus, T. Bogaard, R. Greco, M. Stähli

“…The extensive progress demonstrates the value of in situ hydrologic information for reducing both failed and false alarms through the ability to characterize infiltration during – as well as the drainage and drying processes between – major storm events. …”
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Optimizing therapeutic outcomes: preconditioning strategies for MSC-derived extracellular vesicles by Yuqi Song, Fengrui Liang, Weikun Tian, Erin Rayhill, Liping Ye, Xinghan Tian

“…However, MSCs present risks such as immunogenic responses, malignant transformation, and the potential to transmit infectious pathogens due to their intrinsic proliferative and differentiative abilities. In contrast, MSC-EVs, particularly exosomes (MSC-exosomes, 30–150 nm in diameter), offer a safer therapeutic profile. …”
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