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There are a lot of people suffering from temporomandibular joint pain and laser therapy is developing and gives promising results. This study aimed to explore the effect of diode laser on temporomandi…

There are a lot of people suffering from temporomandibular joint pain and laser therapy is developing and gives promising results. This study aimed to explore the effect of diode laser on temporomandibular joint pain. The method is basically based on irradiating the temporomandibular joint area by using a 980-nanometer diode laser and recording the condition of the patients before and after laser therapy. 10 persons visited the dental clinic suffering from a variant degree of pain in the temporomandibular joint area. All those patients were subjected to the same laser protocol. All the patients came to the dental clinic again after one week to evaluate their condition. The diode laser showed good results in relieving the pain with about 60% of the patients feeling better. Based on the results of this study, the diode laser was a good choice for relieving temporomandibular joint pain. published by the International Journal of Biosciences | IJB  

Thus far, suitable life-support conditions on space flights and on the space stations havebeen maintained solely via physical and chemicalmeans. However, for long-duration missions to distantdestinati…

Thus far, suitable life-support conditions on space flights and on the space stations havebeen maintained solely via physical and chemicalmeans. However, for long-duration missions to distantdestinations, such as Moon Base or exploratory missions to Mars, biological life support systems (BLSSs)may be needed to ensure sustainable functioning of theliving environment, food supply and water purification. As on Earth, this conversion process would needto be based on photosynthesis [1]. Here we reviewpreliminary data from the experiments of the grapevine growth within artificial ecosystem of Ltd. SpaceFarms Greenhouse, with particular attention to theirsuitability for the use in harsh Lunar and Martianconditions, i.e. low temperatures, low atmosphericpressure, high CO2 concentration, high UV radiationand dryness.

Ushbu maqolada hozirgi kunda “O‘zbekistonda oziq-ovqat xavfsizligini ta’minlash mexanizmlari” mavzusiga bag‘ishlangan bo‘lib, unda oziqovqat xavfsizligining na…

Ushbu maqolada hozirgi kunda “O‘zbekistonda oziq-ovqat xavfsizligini ta’minlash mexanizmlari” mavzusiga bag‘ishlangan bo‘lib, unda oziqovqat xavfsizligining nazariy asoslari, global va milliy kontekstdagi muammolari, tahliliy ko‘rsatkichlari hamda uni ta’minlash bo‘yicha samarali mexanizmlar chuqur o‘rganilgan. Tadqiqotda oziq-ovqat xavfsizligini barqaror ta’minlashda davlat siyosatining roli, investitsion va innovatsion yondashuvlarning ahamiyati, klasterlashgan qishloq xo‘jaligi tizimi, logistika va eksport infratuzilmasi hamda xorijiy ilg‘or tajribalar tahlil etilgan.

Abstract — Early and accurate cancer diagnosis is critical for improving treatment outcomes and reducing the mortality rate. This study presents a deep learning-based multimodal cancer dete…

Abstract — Early and accurate cancer diagnosis is critical for improving treatment outcomes and reducing the mortality rate. This study presents a deep learning-based multimodal cancer detection framework designed for the analysis of ultrasound, MRI, and CT scan images of the breast, liver, and thyroid organs. The proposed system utilizes EfficientNet-based architectures for the binary classification of cancerous and noncancerous medical images. EfficientNetB0 was employed for smaller ultrasound datasets to achieve computational efficiency and reduce overfitting, whereas EfficientNetB3 was utilized for more complex MRI and CT scan datasets to enhance feature extraction capability and classification performance. To improve model generalization, EfficientNetB3 was pretrained on approximately 117,000 medical images across 135 classes before fine-tuning on the target datasets. The framework was implemented using Python and PyTorch, along with supporting libraries, including OpenCV, NumPy, Pillow, and Torchvision. The experimental evaluation demonstrated promising results, achieving accuracies of 94% for breast ultrasound, 90% for liver ultrasound, 85% for thyroid ultrasound, 85% for breast MRI, 93% for liver MRI, and 80% for liver CT scan images. The results indicate that the proposed multimodal approach combined with transfer learning can effectively improve medical image classification and support early cancer diagnosis. Keywords — Multi-modal Cancer Detection, Deep Learning, EfficientNet, Transfer Learning, Medical Image Analysis, Ultrasound, Magnetic Resonance Imaging (MRI), Computed Tomography (CT).

Object-oriented programming (OOP) has remained one of the dominant paradigms in software engineering since its emergence in the 1960s. This paper reviews the literature on the four core OOP principles…

Object-oriented programming (OOP) has remained one of the dominant paradigms in software engineering since its emergence in the 1960s. This paper reviews the literature on the four core OOP principles - encapsulation, inheritance, polymorphism, and abstraction - and examines their influence on modern software design. It traces the evolution of these principles from early object-oriented research to contemporary practices such as SOLID principles, design patterns, and hybrid object-oriented/functional approaches. The review also discusses key challenges, particularly the tension between inheritance and encapsulation, and analyzes how modern languages including Kotlin, Swift, Rust, and Scala address these issues through traits, pattern matching, and immutability. The findings indicate that although OOP has evolved significantly, its fundamental principles remain central to developing maintainable, reusable, and scalable software systems. Rather than replacing OOP, modern language features refine and extend its core concepts to meet contemporary software engineering requirements.

Python scripts supporting the exact finite-field, cyclotomic-integer, and numerical Gauss-sum computations in the paper "Factorwise Divisibility of Sidelnikov–Lempel–Cohn–Eastman Seq…

Python scripts supporting the exact finite-field, cyclotomic-integer, and numerical Gauss-sum computations in the paper "Factorwise Divisibility of Sidelnikov–Lempel–Cohn–Eastman Sequence Polynomials at Composite Orders 3ℓ". The archive includes exact factor-pattern computations over F_{p^3}, exact reduction of the order-21 Jacobi sums in Z[X]/(Φ_21(X)), numerical Davenport–Hasse checks, and a script reproducing Table 1 of Section 9. The prime p = 613 is provided as an additional test beyond the table.

This dataset contains Spatial State Tomography (SST) measurements of a graded-index multimode fibre, acquired for six short-coherence optical sources and analysed for 5 mode groups. The fibre supports…

This dataset contains Spatial State Tomography (SST) measurements of a graded-index multimode fibre, acquired for six short-coherence optical sources and analysed for 5 mode groups. The fibre supports 20 mode groups in total; because it is graded-index, an arbitrary number of mode groups can be treated as the relevant subspace, provided that higher-order modes outside the chosen set are not launched. The full (20 mode-group) dataset is available on request. Data were collected by sweeping a laser and recording 118 wavelengths (optical frequencies) spanning a 40 nm bandwidth centred at 1300 nm. The six datasets correspond to emulated source bandwidths of 0, 5, 10, 20, 30, and 40 nm, obtained by incoherent summation of the measured intensities, following the methods described in the main manuscript. A Jupyter notebook that processes this data is available at: https://github.com/MarKo7s/SST_MMF_characterization/blob/main/SST_MTM_retrival_example_experimental.ipynb Each bandwidth dataset contains horizontal (H) and vertical (V) intensity frames for each analyser state. The file measurements_specs.pkl provides the metadata used to combine these measurements in subsequent processing.