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The paper presents a new method known as SecBoost. It has proposed to enhance the security aspect and energy consumption of the 5G network system. To achieve this, we employ deep reinforcement learnin…

The paper presents a new method known as SecBoost. It has proposed to enhance the security aspect and energy consumption of the 5G network system. To achieve this, we employ deep reinforcement learning (DRL) in order to establish an optimised self-adaptive intelligent system that learns and optimises itself in response to the current conditions in real-time. In today’s multi-level systems, various base stations offer access through the use of millimetre wave (mmWave) signals. These signals are however fast but they are prone to cracking by the benedict who may try to hack through the data. These are tough nut to crack especially using the traditional approaches to security because they compromise energy efficiency. To address issues the paper presents a learning-based solution called SecBoost to combat the discussed problem. SECBoost is developed through reinforcement learning, a kind of artificial intelligence tool that can make right decisions concerning the security and functionality of the network. In this, implemented a multi-agent reinforcement learning (MARL) approach. Power control determines the amount of power used for transmission, channel allocation selects the best frequency channels and beamforming directs signals to specific users. To handle the large and complex decision-making process, use a dueling deep Q-network (D3QN). SecBoost performs better than traditional methods. It is a strong candidate for future wireless security solutions. It provides both security and energy efficiency. This makes it useful for next-generation communication systems.

This study presents the synthesis of new bis-1H-1,2,3-triazole derivatives based on dipropargyl adipate. The target compounds were synthesized according to the principles of click chemistry via a copp…

This study presents the synthesis of new bis-1H-1,2,3-triazole derivatives based on dipropargyl adipate. The target compounds were synthesized according to the principles of click chemistry via a copper(I)-catalyzed azide–alkyne cycloaddition (CuAAC) between aromatic azides and terminal alkyne fragments. p-Azidotoluene and p-azidoanisole were employed as the azide components. The selected synthetic approach is characterized by high product yields, relatively simple reaction conditions, and the high regioselectivity typical of CuAAC processes. As a result, new bis-triazole derivatives containing two 1,2,3-triazole fragments linked through an adipate residue were obtained. The structures of the synthesized compounds were investigated by FTIR, ¹H NMR, and ¹³C NMR spectroscopy and were found to be consistent with the proposed structures. The results indicate that dipropargyl adipate can serve as a promising synthetic platform for the preparation of new bis-1,2,3-triazole derivatives.

Digital dentistry increasingly reports high-performing computational models, yet a central knowledge gap remains: existing reviews often catalogue technologies or deployment concerns without a common …

Digital dentistry increasingly reports high-performing computational models, yet a central knowledge gap remains: existing reviews often catalogue technologies or deployment concerns without a common framework that distinguishes analytical performance from transportability, clinical validity, clinical utility, and lifecycle safety. Consequently, it remains unclear what level of real-world use is actually justified by a reported benchmark result. This systematic scoping review critically appraised literature available through July 2026; 147 records were screened and 56 studies were included for evidence synthesis. Rather than pooling incomparable accuracy values, the review evaluated data provenance, partitioning and leakage, reference standards, external validation, calibration and uncertainty, fairness, human factors, cybersecurity, prospective impact, and lifecycle monitoring across imaging, natural-language processing, multimodal and foundation models, robotics, AR/VR, tele-operation, synthetic data, and digital twins. The synthesis identifies an accuracy-to-deployment gap: evidence is comparatively mature for selected two-dimensional imaging and segmentation tasks, whereas multimodal assistants, generative systems, robotics, tele-operation, and digital twins remain limited by external, prospective, human-factor, or lifecycle evidence. The novelty of this review is an integrated evidence-to-deployment taxonomy, an M0-M5 clinical utility ladder, minimum reporting requirements, and staged evidence gates. The new knowledge created is that evidence maturity, not nominal accuracy alone, determines the defensible level of clinical use, and that the validation burden increases as autonomy, multimodality, generative behaviour, and post-deployment change increase. These outputs provide a practical basis for designing, reviewing, and governing clinically credible digital-dentistry research.

In this study, a new strategy based on integrating geostatistical seismic inversion and optimized support vector regression (OSVR) will be utilized to transform multi seismic attributes to sand fracti…

In this study, a new strategy based on integrating geostatistical seismic inversion and optimized support vector regression (OSVR) will be utilized to transform multi seismic attributes to sand fraction log. In first step, owing to compatibility relation between acoustic impedance (AI) and sand fraction, a high resolution value of this important attribute was extracted through a geostatistical seismic inversion (GSI). In second step, in addition to AI, several physical attributes are obtained from seismic data and then all of extracted attributes (AI and other seismic attributes) evaluated by step-wise regression for selecting best attributes that have highest effect on predicting sand fraction. In final step, selected attributes have been fed in the bat inspired optimized support vector regression as input and the sand fraction log is estimated. For the assessment of proposed strategy, the values of predicted sand fraction are compared with their real corresponding values in a blind well. It will be evident from the results that the proposed strategy is qualified for modeling the sand fraction as a function of seismic attributes.

The foundational architecture, geometric intuitions, and motivating philosophy of this framework originated independently with the author prior to and separate from any AI involvement. Subsequent math…

The foundational architecture, geometric intuitions, and motivating philosophy of this framework originated independently with the author prior to and separate from any AI involvement. Subsequent mathematical derivation, connection to established physics literature, computational verification, and error-checking were conducted through extended technical work with AI systems (Anthropic’s Claude and Google’s Gemini). The author directed this process, evaluated and selected among proposed derivations, and takes full responsibility for the accuracy and originality of the final work.

The 23 offices and volunteer bushfire brigades of Bushfires NT, one row per site, with address, fire management zone and coordinates.This is the 2024-05-29 version of this dataset on publicdata.au, wi…

The 23 offices and volunteer bushfire brigades of Bushfires NT, one row per site, with address, fire management zone and coordinates.This is the 2024-05-29 version of this dataset on publicdata.au, with 23 rows and 8 fields. The same version is kept at https://publicdata.au/d/nt-bushfire-brigade-locations/v/2024-05-29/ in 12 formats, with every earlier version and a query API. Each Zenodo version of this record is one publicdata.au version.The data is published by Northern Territory Fire and Emergency Services under CC BY 4.0, https://creativecommons.org/licenses/by/4.0/. The licence requires this attribution:Bushfires NT, Northern Territory Fire and Emergency Services, Northern Territory Government, Bushfires NT Brigade and Office Headquarters Locations, https://data.nt.gov.au/dataset/bushfires-nt-brigade-and-office-headquarters-locations, accessed 4 October 2026, licensed under CC BY 4.0.This is an independent republication. The publisher has not endorsed this site.The rows are in data.parquet, data.csv, data.json and data.xlsx. schema.json describes the fields, and publicdata.json names the version, licence, attribution and the SHA-256 of the publisher's file.

High-resolution medical imaging supports increasingly precise diagnosis, but recent CNN, Transformer, and hybrid pipelines often optimize predictive discrimination separately from clinical reasoning, …

High-resolution medical imaging supports increasingly precise diagnosis, but recent CNN, Transformer, and hybrid pipelines often optimize predictive discrimination separately from clinical reasoning, explanation faithfulness, calibration, and deployment cost. This fragmentation limits trustworthy use across modalities and motivates the present study. ClinXAI-Net is proposed as a rule-guided hybrid CNN-Transformer framework that combines lesion-sensitive local convolutional features with global anatomical Transformer representations through adaptive gated fusion. Clinical IF-THEN consistency constraints and an explanation-alignment objective are incorporated into training and decision refinement, while Grad-CAM, SHAP, LIME, and textual rule traces provide complementary evidence. Five public datasets covering MRI, CT, PET, and X-ray were evaluated with patient-wise splits, five-fold validation, discrimination metrics, expected calibration error, quantitative explanation criteria, and deployment measures. The framework achieved 99.12% test accuracy, 98.82% F1-score, and 0.994 ROC-AUC. In matched ablation analysis, the full model improved accuracy by 2.20 percentage points and explanation agreement by 0.100 over CNN-Transformer fusion alone. INT8 quantization reduced model size by 40.6%, inference latency by 29.2%, and peak memory by 23.5%, with only a 0.06 percentage-point reduction in accuracy relative to the non-quantized full model. The contribution is therefore not merely another hybrid backbone; the study provides evidence that jointly optimizing predictive, rule-consistency, explanation, calibration, and deployment objectives can improve diagnostic performance while preserving auditable reasoning. The findings support a more clinically accountable design pattern for medical-image decision support, while prospective multi-center validation remains necessary before clinical adoption.

Every crocodile captured in the Northern Territory's crocodile capture zones since 2002, one row per animal, with date, species, size, sex, capture method and zone.This is the 2026-10-04 version …

Every crocodile captured in the Northern Territory's crocodile capture zones since 2002, one row per animal, with date, species, size, sex, capture method and zone.This is the 2026-10-04 version of this dataset on publicdata.au, with 5,632 rows and 15 fields. The same version is kept at https://publicdata.au/d/nt-crocodile-captures/v/2026-10-04/ in 9 formats, with every earlier version and a query API. Each Zenodo version of this record is one publicdata.au version.The data is published by Department of Lands, Planning and Environment under CC BY 4.0, https://creativecommons.org/licenses/by/4.0/. The licence requires this attribution:Parks and Wildlife Commission of the Northern Territory, Northern Territory Government, NT Crocodile Capture Zones and Daily Count, https://data.nt.gov.au/dataset/nt-crocodile-capture-zones-and-daily-count, accessed 4 October 2026, licensed under CC BY 4.0.This is an independent republication. The publisher has not endorsed this site.The rows are in data.parquet, data.csv, data.json and data.xlsx. schema.json describes the fields, and publicdata.json names the version, licence, attribution and the SHA-256 of the publisher's file.

There is an emerging awareness of the role Higher Education Institutions play in promoting inclusive development through enterprise-oriented extension services, especially by Indigenous Peoples. This …

There is an emerging awareness of the role Higher Education Institutions play in promoting inclusive development through enterprise-oriented extension services, especially by Indigenous Peoples. This scoping review was guided by PRISMA framework and aimed to explore Higher Education Institution programs and initiatives related to enterprise development involving indigenous communities in the Philippines. The review included 20 published literatures from 2015 to 2025. Various literature types and sources were searched and considered, including journal articles, theses, government publications, and institutional reports. The inclusion criteria focused on enterprise program categories, higher education interventions, and outcome patterns. The result of the scoping review identified higher education's role in microenterprise development. It was found that HEIs contribute to livelihood and microenterprise development through interventions, capacity-building, enabling institutional environment, and research. Most interventions follow a skills-to-enterprise pathway, emphasizing participatory engagement, contextualized enterprise design, and alignment with rights-based and policy frameworks. Outcomes are strongest in capacity and skills development, participation, and early livelihood gains, while evidence on long-term enterprise sustainability remains limited.The study emphasized the need for sustained incubation support, market integration, and more robust evaluation designs to strengthen the long‑term impact of HEI-led indigenous enterprise initiatives.

Maqolada 5–6-sinf o'quvchilarining jismoniy sifatlarini somatotip xususiyatlariga mos differensial yondashuv asosida rivojlantirish imkoniyatlari yoritilgan. Muallif tomonidan ektomorf, mezomorf va en…

Maqolada 5–6-sinf o'quvchilarining jismoniy sifatlarini somatotip xususiyatlariga mos differensial yondashuv asosida rivojlantirish imkoniyatlari yoritilgan. Muallif tomonidan ektomorf, mezomorf va endomorf somatotipdagi o'quvchilar uchun individuallashtirilgan jismoniy mashqlar komplekslari ishlab chiqilib, ilmiy jihatdan asoslangan. Tadqiqot natijalariga ko'ra, somatotiplarni hisobga olib tashkil etilgan mashg'ulotlar o'quvchilarning jismoniy sifatlarini rivojlantirish samaradorligini sezilarli darajada oshiradi va sog'lom turmush tarzini shakllantirishga xizmat qiladi.