Miracle-dz/UniFAR-FTUs huggingface dataset:
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN BIBIT UNGGUL SAPI BALI MENGGUNAKAN ALGORITMA SIMPLIIFIED SEQUENTIAL MINIMAL OPTIMIZATION (SSMO) PADA SUPPPORT VECTOR MACHINE (SVM)

Balai Pembibitan Ternak Unggul (BPTU) Sapi Bali di Jembrana, Bali merupakan sebuah tempat pembudidayaan Sapi Bali yang memiliki kualitas unggul.Sapi Bali merupakan jenis sapi yang memiliki ciri khas yang unik. Ciri khas tersebut terletak pada warna kulit Sapi Bali yang mengalami perubahan sesuai dengan jenis kelamin dan usianya. Pemilihan bibit unggul Sapi Bali di BPTU dilakukan dengan berbagai macam cara. Salah satunya melihat pola warna kulit secara langsung yang terdapat pada tubuh Sapi Bali. Proses pemilihan bibit unggul Sapi Bali rentan terjadinya kesalahan yang dilakukan oleh para peternak ( human error ) dikarenakan jumlah Sapi Bali yang banyak di BPTU Sapi Bali. Pemilihan bibit unggul diklasifikasikan ke dalam tiga kelas yaitu Baik (Bibit Unggul), Sedang, Buruk. Untuk itu, perlu dibutuhkan suatu sistemyang mampu menghasilkan klasifikasi bibit unggul Sapi Bali berdasarkan warna kulit yang diambil menggunakan citra digital.Pada sistem tersebut, akan menerapkan algoritma SimplifiedSequential Minimal Optimization (SSMO)dengan kernel Radial Basis Function (RBF) untuk proses training data dan metode One-Against-All untuk proses klasifikasi berdasarkan fitur rata-rata dari nilai red , green dan blue (RGB). Hasil dari skenario pengujian didapatkan rata-rata tingkat akurasi untuk empat skenario pengujian Sapi Bali Jantan dan Betina sebesar 97.50% dan 67.50%.
The astrophyllite supergroup: nomenclature and classification

Abstract Here we report a nomenclature and classification for the astrophyllite-supergroup minerals. The HOH block is the main structural unit in all astrophyllite-supergroup structures; it consists of three H-O-H sheets where the T4O12 astrophyllite ribbons occur in the H sheets. In each structure, HOH blocks alternate with I (Intermediate) blocks along [001]. The twelve minerals of the astrophyllite supergroup are divided into three groups based on (1) the type of self-linkage of HOH blocks, i.e. (a) HOH blocks link directly where they share common vertices of D octahedra, or (b) HOH blocks do not link directly; and (2) the dominant cation of the O sheet (the C group: C7 apfu). In the astrophyllite group (HOH blocks connect via D-XPD-D bridges, Fe2+ is dominant at C7), there are six minerals: astrophyllite, niobophyllite, zircophyllite, tarbagataite, nalivkinite and bulgakite. In the kupletskite group (HOH blocks connect via D-XPD-D bridges, Mn2+ is dominant at C7), there are three minerals: kupletskite, niobokupletskite and kupletskite-(Cs). In the devitoite group (HOH blocks do not connect via D-XPD-D bridges), there are three minerals: devitoite, sveinbergeite and lobanovite. The general formula for the astrophyllite-supergroup minerals is of the form A2pBrC7D2(T4O12)2IXOD2XOA4XPDnWA2, where C [cations at the M(1-4) sites in the O sheet] = Fe2+, Mn, Na, Mg, Zn, Fe3+, Ca, Zr, Li; D (cations in the H sheets) = [6,5]Ti, Nb, Zr, Sn4+, [5]Fe3+, Mg, Al; T = Si, minor Al; A2pBrIWA2 (I block) where p = 1,2; r = 1,2; A = K, Cs, Ba, H2O, Li, Rb, Pb2+, Na, □; B = Na, Ca, Ba, H2O, □; I represents the composition of the central part of the I block, excluding peripheral layers of the form A2pBrWA2, e.g. (PO4)2(CO3) (devitoite); XOD = O;XOA = OH, F; XPD = F, O, OH,H2O,□, where n = 0, 1, 2 for (XPD)n; WA=H2O, □.
Assessing the Role of Mobile Phone in Information Seeking of Fish Markets in Abobo and Itang Woreda, Gambella Regional State, Ethiopia

This study assesses the role of mobile phone in information seeking of fish markets in two woreda of Gambella regional state. The main objective of the study was to assess the role of mobile phone in information seeking of fish market information in Abobo and Itang woreda. The sampling techniques deployed for this study was both simple random sampling and purposive sampling of probability sampling and non-probability sampling respectively. Data was analyzed using descriptive statistics, which included frequencies, percentages, and non-parametric statistics that used to test for statistical significance of the difference in the number of landing sites visited before and after the mobile introduction. Both qualitative and quantitative approaches were used in this study. The data analysis was done with the help of statistical Package for Social Science version 20.0 and Ms excel Package. Data was represented in tables and figures to give a clear picture of the research findings and data gathering tools were questionnaires, interview and observation methods. The study shows how mobile phone use among fishermen has enhanced the purchasing of fishermen necessary materials from the markets for
Evaluation of blood mercury levels and a few biochemical marker levels in obese car painters of Iraq

Introduction and Aim: A greater total blood mercury level is associated with obesity; the present study sought to evaluate the association between blood mercury levels and other biological indicators related to. Materials and Methods: The study population included 25 car painters and 25 healthy participants. The height and weight of each participant was recorded and their BMI calculated. Blood drawn from each participant was assessed for their serum levels of mercury and a few other biochemical markers such as TNF-alpha, MDA, Visvatin, Insulin, and Vitamin-D. The data obtained was subjected to statistical analysis. Results: Compared to healthy controls, the mean levels of mercury in the blood as well as other biochemical indicators were found to be greater. On the other hand, the amount of vitamin D was discovered to be lower than average in the control group. A higher quantity of mercury in the blood was shown to be associated with abdominal obesity, as indicated by the findings. Conclusion: Obesity increases the risk of mercury toxicity in car painters and is linked to higher TNF-alpha, visfatin, and MDA levels, as well as lower vitamin D levels.
Combination of standardised methods to create a detailed source-based reconstruction of the Tepidarium at L’Alcudia de Elche, Alicante, Spain

This study proposes a combined method for Virtual Archaeological Reconstructions (Extended Matrix, Reconstructive Units and Evidence Graphic Scale) to ease understanding, recording and display of archaeology. It aims to create new questions and challenges to increase knowledge. The Tepidarium project at L’Alcudia de Elche, Spain, showed the need to reduce duplicity and quicken the workflow; however, it increases the possibility of comparative studies due to similar results in other projects.
Small To Medium Enterpirses In The Digital Era On Line Shop Professional Community (Kaji) In East Java

Small To Medium Enterpirses In The Digital Era On Line Shop Professional Community (Kaji) In East Java. The contribution of SMEs has had an impact on the regional and national economy (Bunga, 2022), the growth and development of SMEs in Indonesia cannot be separated from the various challenges faced, the economic crisis that occurred at the end of 1997 brought multi-economic impacts, including SMEs (Tejasari, 2008), the impact of Covid 19 which occurred in early 2020, the impact of the global economy occurred as a whole. SMEs also felt the same impact with the independence that SMEs have, being able to overcome global economic challenges (Aksan, 2022), entering the digital era. East Java UKM (KAJI) is faced with online shop UKM must be able to take a role and control the market so that the existence of SMEs is not eroded by digitalization, especially online shops. Legitimacy theory focuses on interactions between companies and society based on legitimacy theory, namely that a "social contract" occurs between companies and the community where the company operates and uses economic resources. It explains the concept of social contract, all social institutions, including companies, operate in society through social contracts, both explicit and implicit, their survival and growth is based on what consists of, the final result (social output) provided to the wider community, the distribution of economic, social and political benefits. to groups according to their power (Gray, 2001). The research method used in the research is qualitative analysis of case studies. Single case case study is used to obtain data from various primary and secondary research sources (observations, artifacts, archives, documents, interviews, multiple sources), is a research strategy involving one or more cases (multi cases) creating theoretical constructions, middle range propositions or theories based on empirical fact cases (Eisenhardt, 1989). The results of the research and discussion can be concluded that the existence of East Java UKM (KAJI) is described as follows: a. Able to support the family economy as an alternative source of family income, b. The existence of KAJI East Java, facilitates UKMs to establish friendly relations between UKMs, c. Market opportunities are still limited. SMEs still have difficulty marketing SME products. e. The attention received by SMEs in business development and capital assistance has not been maximized, f. Lack of innovation and creativity among SMEs. Suggestions for the existence of SMEs should receive more attention, especially in policies that support the existence of SMEs, especially the policy of implementing online shops to ensure the continuity of the existence of SMEs.
Analysis and Design of Fiber Microprobe Displacement Sensors Including Collimated Type and Convergent Type for Ultra-Precision Displacement Measurement

In this paper, a fiber optic microprobe displacement sensor is proposed considering characteristics of micro-Michelson interference structure and its components. The principal error of micro Fabry–Perot interferometric structure is avoided, and high-precision interferometric displacement measurement is realized. The collimated microprobe and convergent microprobe are analyzed, simulated, and designed for the purposes of measuring long-distance displacement and small spot rough surface, respectively. The core parameters of the probes’ internal components are mapped to coupling efficiency and contrast of the sensor measurements, which provides a basis for the probes’ design. Finally, simulation and experimental testing of the two probes show that the collimated probe’s working distance and converging probe’s tolerance angle can reach 40 cm and ±0.5°, respectively. The designed probes are installed in the fiber laser interferometer, and a displacement resolution of 0.4 nm is achieved.
Impact of TID Irradiation on Static Noise Margin of 22 nm UTBB FD-SOI 6-T SRAM Cells

Impact of total ionizing dose (TID) irradiation on Static Noise Margin (SNM) of 22 nm Ultrathin Body and Buried oxide (BOX) Fully Depleted Silicon-On-Insulator (UTBB FD-SOI) 6-T static random-access memory (SRAM) cells is investigated in this article. TID effect on SNM was measured by the single SRAM cell test structure allowing precise measurement of cell SNM under hold, read, and write modes. Experimental results show that SNM of 22 nm UTBB FD-SOI SRAM cell is significantly decreased by TID. And read SNM is more vulnerable to irradiation, even to be lowered down 0 mV at 500 krad(Si), leading to the read functionality failure. The bias-dependent TID induced threshold voltage shift is responsible for the significant SNM decrease. Moreover, the TID effect on SNM, including transistor-to-transistor variation caused by within-die process and TID damage variability, is explored by Monte Carlo simulation, illustrating that the TID effect on SNM will be underestimated by measurement of a limited number of SRAM cells.
A Large-Scale Study of ML-Related Python Projects

The rise of machine learning (ML) for solving current and future problems increased the production of ML-enabled software systems. Unfortunately, standardized tool chains for developing, employing, and maintaining such projects are not yet mature, which can mainly be attributed to a lack of understanding of the properties of ML-enabled software. For instance, it is still unclear how to manage and evolve ML-specific assets together with other software-engineering assets. In particular, ML-specific tools and processes, such as those for managing ML experiments, are often perceived as incompatible with practitioners’ software engineering tools and processes. To de-sign new tools for developing ML-enabled software, it is crucial to understand the properties and current problems of developing these projects by eliciting empirical data from real projects, including the evolution of the di ff erent assets involved. Moreover, while studies in this direction have recently been conducted, identifying certain types of ML-enabled projects (e.g., experiments, libraries and software systems) remains a challenge for researchers. We present a large-scale study of over 31,066 ML projects found on GitHub, with an emphasis on their development stages and evolution. Our contributions include a dataset, together with empirical data providing an overview of the existing project types and analysis of the projects’ properties and characteristics, especially regarding the implementation of di ff erent ML development stages and their evolution. We believe that our results support researchers, practitioners, and tool builders conduct follow-up studies and especially build novel tools for managing ML projects, ideally unified with traditional software-engineering tools.
Plis de couverture en échelon et failles de second ordre associés à un décrochement dextre de socle sur le bord nord-ouest de l'Argentera (Alpes-Maritimes, France)

Sur le bord nord-ouest du massif de l'Argentera, le site de Saint-Etienne-de-Tinee (Alpes-Maritimes) fournit un exemple demonstratif de plis de couverture en echelon et de failles de second ordre engendres simultanement par le fonctionnement en transpression d'un couloir de decrochement dextre dans le socle sous-jacent lors de la tectogenese alpine. Des comparaisons sont effectuees avec les modeles analogiques les plus proches
Catalytic and Light‐Driven ZnO/Pt Janus Nano/Micromotors: Switching of Motion Mechanism via Interface Roughness and Defect Tailoring at the Nanoscale

The first models of mesoporous ZnO/Pt Janus micromotors that show fuel‐free and light‐powered propulsion depending on the interface roughness are shown. Two models of ZnO semiconducting particles with distinct surface morphologies and pore structures are synthesized by self‐aggregation of primary nanoparticles and nanosheets into nanoscale rough and smooth microparticles, respectively. The self‐assembled nanosheet model (smooth) provides a large surface for the formation of a continuous Pt layer with strong adherence, whereas the discontinuous Pt species take place inside the inter‐nanoparticles pores in the self‐assembled nanoparticle model (rough). The effects of the interface, surface porosity, defect, and charge transfer on the light‐powered motion for both well‐designed mesoporous ZnO/Pt Janus micromotors are investigated and compared to find the underlying propulsion mechanisms. The degradation of two model pollutants is demonstrated as a proof‐of‐concept application of these carefully engineered Janus micromotors. In this work, it is shown that by discreet material fabrication together with semiconductor/metal interface charge transport interpretation, it would be possible to develop new light‐driven Janus micromotors based on other photocatalysts containing active surfaces such as TiO2.
Preoperative Prediction of Perineural Invasion and Prognosis in Gastric Cancer Based on Machine Learning through a Radiomics–Clinicopathological Nomogram

Simple Summary Gastric cancer remains the world’s fifth most lethal malignancy. Perineural invasion (PNI) is a common growth pattern of gastric cancer. Currently, the diagnosis of PNI relies on postoperative pathology, which is an invasive approach. In this study, we built a radiomics–clinicopathological model based on logistic regression analysis to preoperatively predict PNI. The radiomics–clinicopathological model yielded AUC values of 0.851 (95%CI: 0.769–0.933) in the training set, 0.842 (95%CI: 0.713–0.970) in the testing set and 0.813 (95%CI: 0.672–0.954) in the validation set. This proposed model may help clinicians make clinical decisions and provide personalized treatment to gastric cancer patients. In this research, the value of perineural invasion (PNI) in predicting prognoses for gastric cancer patients was also studied. Abstract Purpose: The aim of this study was to construct and validate a nomogram for preoperatively predicting perineural invasion (PNI) in gastric cancer based on machine learning, and to investigate the impact of PNI on the overall survival (OS) of gastric cancer patients. Methods: Data were collected from 162 gastric patients and analyzed retrospectively, and radiomics features were extracted from contrast-enhanced computed tomography (CECT) scans. A group of 42 patients from the Cancer Imaging Archive (TCIA) were selected as the validation set. Univariable and multivariable analyses were used to analyze the risk factors for PNI. The t-test, Max-Relevance and Min-Redundancy (mRMR) and the least absolute shrinkage and selection operator (LASSO) were used to select radiomics features. Radscores were calculated and logistic regression was applied to construct predictive models. A nomogram was developed by combining clinicopathological risk factors and the radscore. The area under the curve (AUC) values of receiver operating characteristic (ROC) curves, calibration curves and clinical decision curves were employed to evaluate the performance of the models. Kaplan–Meier analysis was used to study the impact of PNI on OS. Results: The univariable and multivariable analyses showed that the T stage, N stage and radscore were independent risk factors for PNI (p < 0.05). A nomogram based on the T stage, N stage and radscore was developed. The AUC of the combined model yielded 0.851 in the training set, 0.842 in the testing set and 0.813 in the validation set. The Kaplan–Meier analysis showed a statistically significant difference in OS between the PNI group and the non-PNI group (p < 0.05). Conclusions: A machine learning-based radiomics–clinicopathological model could effectively predict PNI in gastric cancer preoperatively through a non-invasive approach, and gastric cancer patients with PNI had relatively poor prognoses.
A Novel Technique for the better analysis of Ice Properties using Kalman Filtering

SAR algorithm has been used to detect the sea ice to save the ship from any kind of damage. So that ship does not strike with ice. SAR algorithm applied on RADAR1 imagery data to get accurate results. Pixel based segmentation MIRGS algorithm to segment the ice has been studied. Due to this we can differentiate the ice based on its properties. PMA detector has also been studied and thus can easily detect and recognize target by knowing the signal values. There are many methods for multitemporal segmentation from the MODIS data called TempoSeg method for multiyear sea ice floes has also been studied. RADARSAT1 imagery data which is used by Synthetic Aperture Radar to detect the ice of sea at different regions of the oceans. Automated algorithm gives better result of target using R1 imagery data. In project work, we have to implement the automated SAR algorithm to detect sea ice which is already implemented. In further work we have to enhance this automated SAR algorithm to get more accurate results using RADARSAT1 imagery data and will try to use the RADARSAT2 imagery data to make it compatible to SAR algorithm.
Gold Nanoclusters Synthesized within Single-Chain Nanoparticles as Catalytic Nanoreactors in Water

Metalloenzymes are able to catalyze complex biochemical reactions in cellular (aqueous) media with high efficiency. In recent years, a variety of metal-containing single-chain nanoparticles (SCNPs) have been synthesized as simplified metalloenzyme-mimetic nano-objects. However, most of the metal-containing SCNPs reported so far contained complexed metal ions but not metal nanoclusters (NCs) with diameter <5 nm, which could be used as powerful, emerging catalysts. Herein, we report the synthesis of gold nanoclusters (Au-NCs) within SCNPs and the further use of Au-NCs/SCNPs as catalytic nanoreactors in water. We demonstrate that a common motif contained in several drugs (i.e., the aminophenyl–oxazolidinone fragment present in Rivaroxaban, Sutezolid, and Linezolid) can be efficiently prepared in water from a hydrophobic precursor compound by using the Au-NCs/SCNPs as efficient catalytic nanoreactors. In summary, this work paves the way forthe synthesis of metal–NCs/SCNPs for advanced catalysis in aqueous media.
Bioremediation: Current scenario and a necessity in immediate future

Bioremediation refers to the use of microorganisms to degrade, sequester, or remove environment contaminants and is increasingly drawing attention. It offers an alternative, specific, cost-effective, and environment friendly technique over other conventional methods of pollutant cleans up. Three strategies (microbial-, phyto-, and nanotechnology based remediation) biodegrade xenobiotics and various recalcitrant compounds into simple organic compounds, carbon dioxide, water, salts, and other harmless substances. Bioaugmentation and biostimulation of oil and heavy metal contaminated soil and ground water; genetically engineered microorganisms for treating oil-spills, and for sequestering of heavy metals; genetically engineered microorganisms and transgenic plants for the treatment of chlorinated pollutants, including chlorinated solvents, polychlorinated phenols, and chlorinated herbicides are included. Enhanced bioremediation rates to many folds have been achieved with phages driven microbial loop.With the new development in this field and focus on interdisciplinary research, bioremediation technology will go a long way in cleaning our polluted environment in near future. Research on improved microbial strains, and bioanalytical methods for measuring the level of contaminants should be strengthen.
Primary Cutaneous CD30-Positive Lymphoproliferative Disorders—Current Therapeutic Approaches with a Focus on Brentuximab Vedotin

One of the most common subgroups of cutaneous T-cell lymphomas is that of primary cutaneous CD30-positive lymphoproliferative disorders. The group includes lymphomatoid papulosis (LyP) and primary cutaneous anaplastic large cell lymphoma (pcALCL), as well as some borderline cases. Recently, significant progress has been made in understanding the genetics and treatment of these disorders. This review article summarises the clinical evidence supporting the current treatment options for these diseases. Recent years have seen the introduction of novel agents into clinical practice; most of these target CD30, such as anti-CD30 monoclonal antibodies and conjugated antibodies (brentuximab vedotin), bispecific antibodies and cellular therapies, particularly anti-CD30 CAR-T cells. This paper briefly reviews the biology of CD30 that makes it a good therapeutic target and describes the anti-CD30 therapies that have emerged to date.