bluuebunny/crossref_metadata_2025 huggingface dataset:
SIFAT FISIKOKIMIA YOGHURT BUAH NAGA MERAH (Hylocereus polyrhizus L.) DENGAN PENAMBAHAN BERBAGAI LEVEL SUSU SKIM
Authors: Arifani Devi , Zulaikhah Siti Rahmawati , Luthfi S. A. Chayatul
Published: December 2023

The physicochemical properties changes during the manufacturing of milk-fermented products like yoghurt which incorporates red dragon juice as a natural colourant are important to be considered. Skim milk has hydrocolloid properties to increase the viscosity, aroma, acidity, and protein of such products. The objective of the study was to determine the effect of the addition of different levels of skim milk on the physicochemical properties of red dragon fruit yoghurt. This study was carried out using a completely randomized design with four treatments and five replications; differences between treatment means were separated with DMRT analysis. The treatments of skim milk level addition in this study were 0%, 3%, 6% and 9% w/v, respectively. The variables observed were the pH value, level of acidity, and viscosity value of red dragon fruit yoghurt. The result showed that the incorporation of skim milk up to 9% had no significant effect on the pH and acidity levels of yoghurt. However, the viscosity of red dragon fruit yoghurt was increased significantly along with the increasing level of skim milk
ACOUSTO-OPTICAL RECEIVER OF AN OBSTRUCTION PASSIVE RADAR SYSTEM
Authors: Rustamov Asad , Kerimov Yashar , Mammedov Ahmed , Binnatov Mehman , Katekhliyev Vusal
Published: December 2023

The subject of research in the article is the passive radar system of a warship. The purpose of the work was to review the characteristics use of the acousto-optical receiver in the new passive radar system of the warship, to investigate the peculiarities of acoustooptic effect and the relevant synthesis of methods and tools for measuring the photodetector photoelectric characteristics and, in addition, to investigate the energy-and-geometric parameters of laser radiation Justification. It is shown that the transition, impulse and frequency characteristics are taken as the main means to determine the operating and technical parameters of the acousto-optical delay line. It is not possible to unambiguously extrapolate these characteristics to the known models of the characteristics of the acousto-optic radar receiver created on AODL. Research results. In the context of this postulate, mathematical models of the main characteristics of AODL were developed. On the basis of the synchronous compensation pulse obstacles applied to the passive radar acousto-optic receiver on military ships, the full compensation of the obstacles is determined for the effective reception of signals from the acousto-optic receiver. In radar stations (radar), the main attention is focused on the statistical properties of the useful signal and passive obstacles, the speed (frequency) of the signal passing through the passive obstacle and the space-time differences. The recommendations. These features are recommended to be used only in special cases where the target is outside the reflectors for informational duration, amplitude and differences between passive obstacles, obstacle silencing and signal separation. Conclusion. Applying the full attenuation of the band filter and synphase barrier organizers, whose frequency characteristics do not depend on the tuning frequency, it is possible to provide full compensation of obstacles during the effective reception of signals by the acousto-optic receiver in the passive radar system of warships based on the proposed method for high resistance to obstacles, pulse obstacle compensation.
A Numerical scheme to Solve Boundary Value Problems Involving Singular Perturbation
Authors: Alaidroos Hussain A. , Kherd Ahmed , Bamsaoud Salim
Published: December 2023

The Wang-Ball polynomials operational matrices of the derivatives are used in this study to solve singular perturbed second-order differential equations (SPSODEs) with boundary conditions. Using the matrix of Wang-Ball polynomials, the main singular perturbation problem is converted into linear algebraic equation systems. The coefficients of the required approximate solution are obtained from the solution of this system. The residual correction approach was also used to improve an error, and the results were compared to other reported numerical methods. Several examples are used to illustrate both the reliability and usefulness of the Wang-Ball operational matrices. The Wang Ball approach has the ability to improve the outcomes by minimizing the degree of error between approximate and exact solutions. The Wang-Ball series has shown its usefulness in solving any real-life scenario model as first- or second-order differential equations (DEs).
Indoor/Outdoor Deep Learning Based Image Classification for Object Recognition Applications
Authors: Jassim Omar Abdullatif , Abed Mohammed Jawad , Saied Zenah Hadi
Published: December 2023

With the rapid development of smart devices, people's lives have become easier, especially for visually disabled or special-needs people. The new achievements in the fields of machine learning and deep learning let people identify and recognise the surrounding environment. In this study, the efficiency and high performance of deep learning architecture are used to build an image classification system in both indoor and outdoor environments. The proposed methodology starts with collecting two datasets (indoor and outdoor) from different separate datasets. In the second step, the collected dataset is split into training, validation, and test sets. The pre-trained GoogleNet and MobileNet-V2 models are trained using the indoor and outdoor sets, resulting in four trained models. The test sets are used to evaluate the trained models using many evaluation metrics (accuracy, TPR, FNR, PPR, FDR). Results of Google Net model indicate the high performance of the designed models with 99.34% and 99.76% accuracies for indoor and outdoor datasets, respectively. For Mobile Net models, the result accuracies are 99.27% and 99.68% for indoor and outdoor sets, respectively. The proposed methodology is compared with similar ones in the field of object recognition and image classification, and the comparative study proves the transcendence of the propsed system.
Antifungal Potential of Cladosporium sp. (Endophytic fungi) Associated with Olea europaea L. Leaves
Authors: Mezher Milad Adnan , Abed Rabab Majead
Published: December 2023

In the leaves of Olea europaea L. Olive trees an endophytic fungus was discovered. Cladosporium sp. was identified to be the fungus based on its morphological characteristics and nuclear ribosomal DNA ITS sequence analysis and was registered in NCBI as the Cladosporium genus has been registered under the number (0P939922.1) The species was not specified, and it was considered of unknown species after comparing it to global isolates. In comparison to olive leaf extract, Cladosporium sp. including total flavonoid, total phenolic, total terpenoid, and total saponins, Which were 121.9%, 198.1%, 89.13%, and 29.87 % respectively compared to its content in olive leaf extract, which was 61.54 %, 67.88 % , 17.1%, and 20.19% respectively. The Cladosporium sp. extract inhibited the growth of 27 isolates belonging to different species of candida which were Candida albicans , C. lypolitica , C. tropicalis , C. sphaerica , C. krusei , C. guilliermondii , C. parapsilosis , C. norvegicus , C. glabrata , and C. kefyr , the inhibition effects increased with increasing concentration to reach the highest level to suppress fungal growth when concentrated 30 mg/ml. This proves the antifungal potential of endophytic fungi in the future.
Application of Sulfur-2,4-dinitrophenylhydrazine as Modifier for Producing an Advantageous Concrete
Authors: Turaev Khayit , Shavkatova Dilnoza , Amanova Nodira , Shadhar Mohanad Hatem , Berdimurodov Elyor , Bektenov Nessipkhan , Hosseini-Bandegharae Ahmad
Published: December 2023

In this investigative endeavor, a novel concrete variety incorporating sulfur-2,4-dinitrophenylhydrazine modification was developed, and its diverse attributes were explored. This innovative concrete was produced using sulfur-2,4-dinitrophenylhydrazine modification and an array of components. The newly created sulfur-2,4-dinitrophenylhydrazine modifier was synthesized. The surface texture resulting from this modifier was examined using SEM and EDS techniques. The component ratios within concrete, chemical and physical traits derived from the sulfur-2,4-dinitrophenylhydrazine modifier, chemical and corrosion resistance of concrete, concrete stability against water absorption, concrete resilience against freezing, physical and mechanical properties, durability, elastic modulus, and thermal expansion coefficient of the examined sulfur-infused concrete were assessed. The acquired results also substantiated that the thermal expansion coefficient value for sulfur-2,4-dinitrophenylhydrazine modified concrete was 14.8×10-6/0C. The average deformation of the analyzed concrete was 0.0026-0.0051, indicating a superior deformation performance compared to conventional concretes. Concrete with smaller aggregate sizes exhibited greater density, specifically 2283 kg/m3. The concrete density decreased gradually with an increase in aggregate size. The stability of sulfur-2,4-dinitrophenylhydrazine modified concrete was remarkably high in various aggressive environments. EDS analysis revealed that carbon atoms constituted 56.63% of the total mass, while sulfur made up 33.91% of the total mass. The obtained SEM outcomes demonstrated that the sulfur-2,4-dinitrophenylhydrazine modifier exhibited a more porous structure, devoid of crystalline formations. The sulfur-2,4-dinitrophenylhydrazine modification experienced a single-stage thermal mass loss, with the mass loss events being endothermic in nature. The IR findings verified the presence of amino functional groups (connected melamine ring) and the establishment of polymer sulfur chains.
An improved neurogenetic model for recognition of 3D kinetic data of human extracted from the Vicon Robot system
Authors: Stepanyan Ivan V. , Hameed Safa A.
Published: December 2023

These days, it is crucial to discern between different types of human behavior, and artificial intelligence techniques play a big part in that.  The characteristics of the feedforward artificial neural network (FANN) algorithm and the genetic algorithm have been combined to create an important working mechanism that aids in this field. The proposed system can be used for essential tasks in life, such as analysis, automation, control, recognition, and other tasks. Crossover and mutation are the two primary mechanisms used by the genetic algorithm in the proposed system to replace the back propagation process in ANN. While the feedforward artificial neural network technique is focused on input processing, this should be based on the process of breaking the feedforward artificial neural network algorithm. Additionally, the result is computed from each ANN during the breaking up process, which is based on the breaking up of the artificial neural network algorithm into multiple ANNs based on the number of ANN layers, and therefore, each layer in the original artificial neural network algorithm is assessed. The best layers are chosen for the crossover phase after the breakage process, while the other layers go through the mutation process. The output of this generation is then determined by combining the artificial neural networks into a single ANN; the outcome is then checked to see if the process needs to create a new generation. The system performed well and produced accurate findings when it was used with data taken from the Vicon Robot system, which was primarily designed to record human behaviors based on three coordinates and classify them as either normal or aggressive.
Desenvolvimento de uma centrífuga para remoção de óleo remanescente de embalagens de lubrificantes automotivos
Authors: Marcos Salgado Alves Leandro , Eduardo Treter Marcos , Richard Fuckner Roni , Walter Smoger Horst , Rodrigues Ramos Fermino Leonardo
Published: December 2023

Com a crescente conscientização ambiental e a necessidade de reduzir o impacto negativo dos resíduos na natureza, a extração e a comercialização do óleo automotivo remanescente de embalagens já utilizadas têm se destacado como uma abordagem sustentável. Este artigo apresenta o projeto e o desenvolvimento e testagem de uma centrífuga para remover eficientemente o óleo remanescente de embalagens de lubrificantes automotivos que já foram utilizadas. O projeto é realizado por meio de um acordo de cooperação técnico-científico com a oficina mecânica Auto Speed Centro Automotivo, localizada na cidade de São Bento do Sul/SC. O objetivo principal deste projeto é reduzir, de forma significativa, o tempo necessário para a extração do óleo remanescente, substituindo os processos atuais, que dependem da ação da gravidade e levam dias para serem concluídos, além de não serem capazes de eliminar completamente o óleo das embalagens, permitindo o seu descarte correto. A centrífuga proposta é projetada para operar com embalagens padrão de 1 litro e permite, em poucos minutos de processamento, alcançar o índice de extração de até 99,52% do óleo contido nas embalagens.
Overcoming limitations in current measures of drug response to enable AI-driven precision oncology
Authors: Rapsomaniki Maria Anna , Ovchinnikova Katja , Born Jannis , Chouvardas Panagiotis , de Julio Marianna Kruithof
Published: December 2023

Machine learning (ML) models of drug sensitivity prediction are becoming increasingly popular in precision oncology. Here, we unveil fundamental issues with the use of standard measures of drug sensitivity that hinder the development of personalized prediction models. Our work suggests that using z-scored drug response measures mitigates these issues and leads to meaningful predictions, opening the door for sophisticated ML precision oncology models.
Excellent thermoelectric performance of Full-Heusler Fe2NbAl alloy induced by strong anharmonic rattling and high band degeneracy
Authors: ZHAO Wenyu , Ye Xianfeng , Yu Jian , Ke Shaoqiu , Liang Dong , Chen Tiantian , Liu Chengshan , Xu Wenjie , Li Longzhou , Zhu Wanting , Nie Xiaolei , Wei Ping , Zhang Qingjie
Published: December 2023

Full-Heusler alloys with earth-abundant elements exhibit high mechanical strength and favorable electrical transport behavior, but their high intrinsic lattice thermal conductivity limits potential thermoelectric application. Here, the thermoelectric transport properties of Fe-based Full-Heusler Fe2MAl (M = V, Nb, Ta) alloys are comprehensively investigated utilizing density functional theory. The results suggest that Fe2NbAl exhibits exceptionally low lattice thermal conductivity due to the strong anharmonic scattering induced by weakly bound Fe atoms and the low phonon velocities caused by heavy Nb atoms. Meanwhile, the high band degeneracy and large electrical conductivity lead to a maximum p-type power factor of 255.6 μW·K-2·cm-1 at 900 K. The combination of low lattice thermal conductivity and favorable electrical transport properties results in a maximum p-type dimensionless figure of merit of 1.7. Our work indicates Fe2NbAl, as a low-cost, environmentally friendly compound, is a potential high-performance p-type thermoelectric material.
Application of the improved Probabilistic Fuzzy Logic Inference Engine Model to evaluate Mineralization Prospectivity - Taking the Gejiu region of Yunnan, China as an example
Authors: Jie ZHAO , Yongqing CHEN , Pengda ZHAO , Junhua KU
Published: December 2023

A probabilistic fuzzy logic inference engine simulated by the Monte Carlo method is used to determine the mineralization prospectivity of Sn deposits in the Gejiu region, and the uncertainty of the mineralization prospectivity is evaluated. The elemental analysis of the fuzzy logic inference engine is improved, and the Hilbert-Huang transformation (HHT) multi-scale model is integrated. The copula function is proposed to solve the problem of correlation between elements. The probabilistic fuzzy logic inference engine simulated by the Monte Carlo method can provide more information than the traditional method. Its most significant advantage is that it can describe the potential and uncertainty of data and models, which are caused by random error and fuzziness. This information can be used in the subsequent risk assessment of the exploration targets. It can also determine the largest source of uncertainty in the final mineralization prospectivity map, thereby reducing the uncertainty.
Classification of Ice Crystal Habits by Deep Transfer Learning
Authors: Xu Yefeng , Jiao Ruili , Huang Minsong
Published: December 2023

Ice crystal particle shape is an important factor affecting cloud microphysical processes. Accurately identifying the shapes of ice crystal particle within clouds is a fundamental requirement for calculating various cloud microphysical parameters. In this study, we set up an ice crystal image dataset, encompassing nine distinct habit categories with 8100 images. These images were captured using three probes with varying resolutions: the Cloud Particle Imager (CPI), the Two-dimensional Stereo Probe (2D-S), and the High Volume Precipitation Spectrometer (HVPS). In addition, we introduce a deep convolutional neural network (CNN) based on transfer learning for ice crystal particle shape classification model, TL-AlexNet, which demonstrates the capability to simultaneously classify ice crystal particle habits observed by both the Line Scan Imager and the Area Scan Imager. The results indicate that the TL-AlexNet model could achieve superior performance in ice crystal shapes classification for two types of imagers, and the classification with the accuracy of 97.16%. It is much higher than the traditional shape recognition methods, and has certain application value for Climate and cloud microphysics research.
scSemiProfiler: Advancing Large-scale Single-cell Studies through Semi-profiling with Deep Generative Models and Active Learning
Authors: Ding Jun , Wang Jingtao , Fonseca Gregory
Published: December 2023

Single-cell sequencing is a crucial tool for dissecting the cellular intricacies of complex diseases. Its prohibitive cost, however, hampers its application in expansive biomedical studies. Traditional cellular deconvolution approaches can infer cell type proportions from more affordable bulk sequencing data, yet they fall short in providing the detailed resolution required for single-cell-level analyses. To overcome this challenge, we introduce "scSemiProfiler", an innovative computational framework that marries deep generative model with active learning strategies. This method adeptly infers single-cell profiles across large cohorts by fusing bulk sequencing data with targeted single-cell sequencing from a few carefully chosen representatives. Extensive validation across heterogeneous datasets verifies the precision of our semi-profiling approach, aligning closely with true single-cell profiling data and empowering refined cellular analyses. Originally developed for extensive disease cohorts, "scSemiProfiler" is adaptable for broad applications. It provides a scalable, cost-effective solution for single-cell profiling, facilitating in-depth cellular investigation in various biological domains.
Stable skyrmion bundles at room temperature and zero magnetic field in a chiral magnet
Authors: Tang Jin , Zhang Yongsen , Wu Yaodong , Shi Meng , Xu Xitong , Wang Shouguo , Tian Mingliang , Du Haifeng
Published: December 2023

Topological spin textures are characterized by topological magnetic charges Q, which govern their fascinating electro-magneto properties. Recent studies have achieved skyrmion bundles with arbitrary integer values of Q, opening up possibilities for exploring topological spintronics based on the parameter freedom of Q. However, the realization of stable skyrmion bundles in chiral magnets at room temperature and zero magnetic field, which is the prerequisite for realistic device applications, has remained exclusive. Here, through the combination of pulsed currents and reversed magnetic fields, we experimentally achieved skyrmion bundles with different inter-Q values, reaching a maximum of 24 at above room temperature and zero magnetic field in a β-Mn-type Co8Zn10Mn2 chiral magnet. We demonstrate the field-driven topological quantitated annihilation of high-Q bundles and present a stable phase diagram as a function of temperature and field. Our experimental findings are consistently corroborated by micromagnetic simulations. The observation of skyrmion bundles and their multi-Q topological properties at room temperature and zero fields could promote realistic multi-Q-based topological spintronic devices.
Harmonizing the Scale: An End-to-End Self-Supervised Framework for Cross-Modal Search and Retrieval in Histopathology Archives
Authors: Tizhoosh Hamid , Maleki Danial , Rahnamayan Shahryar
Published: December 2023

The exponential growth of data across various medical domains has generated a substantial demand for techniques to analyze multimodal big data. This demand is particularly pronounced in fields such as computational pathology due to the diverse nature of the tissue. Cross-modal retrieval aims to identify a common latent space where different modalities, such as image-text pairs, exhibit close alignment. The primary challenge, however, often lies in the representation of tissue features. While language models can be trained relatively easily, visual models frequently struggle due to the scarcity of labeled data. To address this issue, the innovative concept of harmonization has been introduced, extending the learning scheme distillation without supervision, known as DINO. The harmonization of scale refines the DINO paradigm through a novel patching approach, overcoming the complexities posed by gigapixel whole slide images in digital pathology. Experiments conducted on diverse datasets have demonstrated that the proposed approach significantly enhances cross-modal retrieval in tissue imaging. Moreover, it exhibits vast potential for other fields that rely on gigapixel imaging.
Periodontitis-induced neuroinflammation triggers IFITM3-Aβ axis to cause Alzheimer's disease-like pathology and cognitive decline
Authors: Kong Lingwenyao , Li Juanjuan , Gao Lu , Zhao Yonggang , Chen Weixian , Wang Xumeng , Wang Songlin , Wang Fu
Published: December 2023

Background
Periodontitis is a risk factor linked to Alzheimer's disease (AD), and amyloid-beta (Aβ) is a pathological characteristic of AD. Increasing evidence suggests that periodontitis contributes to the formation and progression of AD. Type I interferons are upregulated in Porphyromonas gingivalis (Pg)-induced periodontitis in mice. Colonization of Pg has been identified in the brains of patients with AD. Recently, interferon-induced transmembrane protein 3 (IFITM3), an inflammation-induced innate immunity protein, was identified as a novel γ-secretase modulatory protein for Aβ production in AD. However, it is unknown whether periodontitis also increases type I interferons in the brain and induces AD-like pathology by triggering the innate immune response of glial cells and activating the IFITM3-Aβ axis. Whether colonization of Pg in brain induces innate immune in astrocytes and microglia remains elusive.
Methods
We evaluated the effects of periodontitis on cognitive impairment in C57BL/6J and APP/PS1 mice using behavioral tests. The effects of Periodontitis/Pg on microglia and astrocytes were measured using qRT-PCR, western blotting, and histological staining.
Results
Pg-induced periodontitis caused cognitive impairment in C57BL/6J mice and exacerbated a cognitive decline in APP/PS1 mice. Furthermore, periodontitis increased the level of interferon (IFN)-β, IFITM3, and Aβ deposition of C57BL/6J and APP/PS1 mice in the brain. And we identified Pg DNA, apoptotic cells, glial activation, and the expression of inflammatory mediators in the brain of a mouse periodontitis model. Furthermore, our results confirmed that astrocytes were the main responders to Pg-induced innate immunity and inflammation in vitro and in vivo. Periodontitis also induces an increase in IFITM3 expression in periodontal tissue, salivary glands, and saliva.
Conclusions
We define a previously unidentified link between periodontitis and cognitive decline, and provide new evidence linking oral pathogenic bacteria-induced innate immunity and neuroinflammation to AD pathogenesis and cognitive decline in part by disrupting the BBB, triggering neuroinflammation and increasing IFITM3 in glial cells for Aβ deposition. Periodontitis also exacerbates innate immunity and cognitive impairment in AD mice, which implies the necessity of preventing and controlling periodontal disease in AD patients.
Automated Benchmarking for the Purchase of Second-hand Cars and Motorcycles in Colombia through Web Scraping and Prescriptive Analytics
Authors: Ariza Camila , Conti Dante , Garzon Wilmer
Published: December 2023

In the current context of the automotive market in Colombia there is an exorbitant rise in prices of second-hand vehicles and in the absence of structured tools to access quickly and reliably to the market information, it is necessary to create a centralized dataset that reflects the inventory offered on the web, in order to facilitate the comparison, collection and decision making in the process of buying and selling second-hand vehicles. Under this premise, this applied research article proposes the creation of a minimum viable product that allows to extract, prepare, process, transform and compare the information via Web Scraping and propose decision alternatives using prescriptive analytics based on decision trees and benchmarking for users of the second-hand car and motorcycle market in Colombia. The results of the developed tool are satisfactory since they offered the user two options according to the sought characteristics of the motor vehicle, one of minimum price and the other of minimum mileage-lowest price. Finally, to go further, it is recommended to explore more complete frameworks for a more personalized experience.
Evaluation of antioxidant and anti-cancer potential of ethanolic and n-hexane extracts of fresh water algae from Lahore
Authors: REHAN SAMAN SAFDAR , Aftab Saira
Published: December 2023

Context: Algae have importance in different fields especially in medical aspects due to nature source for production of bioactive metabolic compounds.
Aims: Research focused on activity of algal compounds and their applications in medical therapy such as antitumor and antioxidant agents.
Methods: Freshwater algal extract prepared in ethanol, hexane and chloroform. The required algal sample were treated with GC-MS analysis, phytochemical analysis and in vitro anti cancer potential.
Key results: Gas chromatography analysis showed different type of hydrocarbons, ketones, esters, and carboxylic compounds. The results revealed that extracts contain higher antioxidant activity and by consequence, they can be considered as good source of natural products that may be employed in the treatment of the different diseases that associated with oxidative stress.
Quantization of linear acoustic and elastic waves in isomorphic pattern of characterizations
Authors: Yang Chen
Published: December 2023

From the macroscopic to the microscopic world, quantum mechanical effects in acoustics and elastic waves have become increasingly important. Studies on the quantum effects of acoustic and elastic waves using experimental methods have been reported in the literature. However, the conventional formulations of acoustic and elastic waves are still mainly governed by classical models. In this study, we investigated the quantization of acoustic and elastic waves using generalized Lorenz gauges. The potential variables of acoustic and elastic waves can be quantized in a manner similar to that of electrodynamics. The results include the Schrödinger equation with minimal coupling between the field and particles. The quantization of field variables is established as a consequence of the gauge symmetry property of the Schrödinger equation. Later, we explored the connections between the parallel formulations of mechanics and waves through an algebraic aspect. This highlights the isomorphism pattern from the characterization of parallel formulations. To support the results, the derivations of potential formulations based on Lorenz gauges and functional mapping between field variables are presented.
A new taxonomy to map evidence on carbon dioxide removal side effects
Authors: Prütz Ruben , Fuss Sabine , Lück Sarah , Stephan Leon , Rogelj Joeri
Published: December 2023

Carbon dioxide removal (CDR) is key to climate change mitigation, yet implications of its deployment remain unclear. Recent exponential growth in literature is rapidly filling this gap but makes the synthesis of the evidence on CDR side effects increasingly challenging. We address this issue by mapping this literature and proposing a taxonomy to synthesize and compare evidence on CDR side effects. The expansive evidence warrants the use of machine learning to systematically select relevant research and provide an inventory of nearly 400 side effects and challenges. We find rich evidence in Europe but little information for Africa, South America, and Oceania, where large-scale CDR is nevertheless projected. There is a predominance of articles discussing negative effects compared to positive ones. Starting from the limitations of our analysis and literature gaps, we provide entry points for future studies that can build on our literature-based taxonomy.
Identification and characterization of a novel species, Providencia xianensis sp. nov., isolated from clinical infections
Authors: Dong Xu , Xiang Yanghui , Yang Peihong , Wang Shanmei , Yan Wenjuan , Yuan Youhua , Zhou Shan , Zhou Ke , Liu Jiayun , Zhang Ying
Published: December 2023

It is widely acknowledged that the Providencia genus harbors certain opportunistic pathogens capable of causing human infections, some of which may be severe. In our collection of clinical Providencia isolates, we identified two strains of multidrug-resistant bacteria identified as Providencia rettgeri from two distinct sources. These strains were characterized phenotypically and confirmed by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS), 16S rRNA sequencing, multilocus sequence analysis (MLSA), and whole-genome sequencing. Phylogenetic analysis suggests that these two strains, sharing high average nucleotide identity (ANI) of 99.28% and in silico DNA-DNA hybridization (dDDH) of 95.1%, represent the same species and constitute a novel branch within the Providencia genus. However, their respective ANI (79.84-84.20%) and dDDH (21.1-25.6%) values fall below the accepted species delineation threshold for Providencia rettgeri. Consequently, we propose that these isolates be recognized as a novel species, Providencia xianensis sp. nov. Alarmingly, both strains, which were isolated from locations far apart exhibited resistance to last-resort antibiotics used in clinical settings, indicating possible wide distribution of this new species, underscoring the emergent threat they pose due to potential multidrug resistance, a matter demanding immediate clinical vigilance.
The Proof is in the Pudding
Authors: Mahon Louis , Vogel Carl
Published: December 2023

This paper presents FASTFOOD, a rule-based natural language generation (NLG) program for cooking recipes. We consider the representation of cooking recipes as discourse representation, because the meaning of each sentence needs to consider the context of the others. Our discourse representation system is based on states of affairs and transtions between states of affairs, and does not use discourse referents. Recipes are generated by using an automated theorem-proving procedure to select the ingredients and instructions, with ingredients corresponding to axioms and instructions to implications. FASTFOOD also contains a temporal optimization module which can rearrange the recipe to make it more time efficient for the user, e.g. the recipe specifies to chop the vegetables while the rice is boiling. The system is described in detail, including the decision to forgo discourse referents and how plausible representations of nouns and verbs emerge purely as a by-product of the practical requirements of efficiently representing recipe content. A comparison is then made with existing recipe generation systems, NLG systems more generally, and automated theorem provers.
The Ethics’ Crisis of Visual Representation of War (the Photography’s Dimension)
Authors: Lysenko Lesia
Published: December 2023

Introduction. Digital photography, mobile technologies, and social platforms have actualized the problem of the ethics of representation and contemplation of cruelty, violence, and death. In Russian-Ukrainian war’s context, the topic’s relevance is due to the ongoing discussions in the public space about the appropriateness of disseminating photographs that depict violence or suffering.
Relevance of the study. The relevance is due to the role of photo facts in the construction of media reality, social attitudes and individual experiences. The goal is to systematize the conceptual dominants of the debate on the ethics of photographic representation of war.
Methods. On the basis of empirical analysis, the main components of the scientific problem are updated, in particular the subject of research, its scientific and applied contexts. The system analysis was used in the work with the theoretical base of the research and establishment of interdisciplinary connections in the discussion about the ethical and aesthetic modes of functioning of sensitive media content, the problems of photorepresentation of war in the media. Comparative, analytical and descriptive methods ensured the disclosure of the features of the ethical-aesthetic paradigm of the media essence of photography. Generalization and synthesis made it possible to argue the conclusions, to find out their correspondence to the tasks.
Results. Based on the systematization of the representatives’ concepts of various scientific fields (photography theorists, philosophers, art historians, social communication researchers, etc.), it is proved that ethical issues related to the creation, distribution, and perception of sensitive content relate to different contexts: exploitation and retraumatization, affect and aestheticization, objectification and politicization. Scholars and experts focus on a critical analysis of the nature and extent of the viewer’s participation in the visual field, the modes of civic engagement and the inherent empathic, sentimental and passive response.
Сonclusions. The study focuses on the role of sensitive war photographs in the construction of a political space in which the need for the visual as testimony, the right to advocacy, and the recognition of a crime are actualized. In turn, the visual intolerance of the represented violent act or suffering provokes a discussion of the problem of aestheticizing images as a dilemma between deliberate embellishment and identification of formal and compositional expressive means of photography.
KINETIC STUDY OF THE REACTION BETWEEN THE CYCLOPALLADATED COMPLEX [PdCl(C2 ,N-dmba)(tu)] (dmba = N,N-DIMETHYLBENZYLAMINE, tu = THIOUREA) AND L-CYSTEINE
Authors: Félix Diego , Truzzi Daniela , de Godoy Netto Adelino , Soares Maria Isabella , Rodrigues Gian , Pereira José Clayston
Published: December 2023

Cancer is a severe disease that causes a significant number of deaths worldwide every year. Treatments have been available, such as cisplatin, to help combat this disease. However, recent studies have shown that the enzyme system glutathione/glutathione S-transferases (GSH/GST) can cause resistance of tumor cells to this type of cancer treatment. Fortunately, there are alternatives, such as using palladium complexes such as [PdCl(C2,N-dmba)(tu)], which have demonstrated effectiveness against cancer cells. However, even these metallopharmaceuticals can be inhibited by GSH/GST system, which can modify the chemical structure of the complex and prevent it from working as an anticancer agent. That’s why it’s crucial to study the reaction between the complex [PdCl(C2 ,N-dmba)(tu)] and L-cysteine using techniques such as NMR, mass spectroscopy, UV-Vis spectroscopy, and stopped-flow. The study of this type of reaction will help researchers understand how these organometallics work in biological systems and how we can improve them to treat cancer more effectively.
Customer Orientated Indices and Reliability Evaluation of Meshed Power Distribution System
Authors: Aditya Tiwary
Published: December 2023

Aim. Reliability evaluation of a system or component or element is very important in order to predict its availability and other relevant indices. Reliability is the parameter which tells about the availability of the system under proper working conditions for a given period of time. The study of different reliability indices are very important considering the complex and uncertain nature of the power system. In this paper reliability evaluation of the meshed distribution system is presented. This paper also evaluates basic indices such as average failure rate, average outage time and average annual outage time. Along with basic indices, customer orientated indices such as system average interruption frequency index, system average interruption duration index and customer average interruption duration index of an electrical power distribution system is also evaluated. The electrical power distribution system taken for study is meshed distribution system in nature.

Aditya Tiwary. "Customer Orientated Indices and Reliability Evaluation of Meshed Power Distribution System" Reliability: Theory & Applications, vol. 15, no. 1, 2020, pp. 10-19. doi:10.24411/1932-2321-2020-11001
Kırsal Yaşam Koşullarının Etkili Olduğu Bir İlçede Yaşayan Kadınlarda Kendi Kendine Meme Muayenesi Yapma Sıklığı ve Meme Kanseri Risk Düzeyleri
Authors: IŞIKLAR ÖZBERK Derya , ÖZBERK Ömer
Published: December 2023

Amaç: Bu çalışmada, kırsal yaşam koşullarının etkili olduğu bir ilçede yaşayan kadınlarda kendi kendine meme muayenesi (KKMM) yapma sıklığını belirlenmesi ve meme kanseri risk düzeylerinin değerlendirilmesi amaçlandı.
Yöntem: Tanımlayıcı, kesitsel tipte olan bu çalışmaya, Eylül 2018- Kasım 2018’de ilçe devlet hastanesi aile hekimliği genel polikliniğine herhangi bir sebeple başvuran 20 yaş ve üzeri kadınlardan çalışmaya katılmaya gönüllü olanlar dahil edildi. Katılımcılara yüz yüze görüşme yöntemiyle KKMM yapıp yapmadıkları soruldu ve Meme Kanseri Riski Değerlendirme Formu uygulandı.
Bulgular: Çalışmamıza dahil edilen 155 kadının ortalama yaşı 43,70±14,31 (20-80) yıl, %81,9’u (n=127) evli, %83,9’u (n=130) ilköğretim ve altı eğitimli, %82,6’sının (n=128) ilk çocuk doğurma yaşı 30 yaşından önce idi. Ayrıca %3,2’si (n=5) sigara içiyor, %31,6’sı (n=49) fiziksel olarak aktif, %72,9’u (n=113) meyve, sebze ve lifli gıda ağırlıklı besleniyordu. KKMM yapma sıklığı %59,4 (n=92) iken, meme ultrasonografi ya da mamografi yaptıranların sıklığı ise %45,8 (n=71) idi. Meme kanseri risk anketi puan ortalaması 153,12±47,74 idi. Buna göre; %86,5'i düşük risk grubundaydı. Lineer regresyon analizi yapıldığında meme kanseri risk anketi puanındaki artışın %20,7’si bel çevresi ölçümünün fazla olmasına atfedilmektedir.
Sonuç: Kırsal bir bölgede yaptığımız çalışmada katılımcıların KKMM yapma sıklığının yüksek olduğu ve çoğunluğunun meme kanseri risk değerlendirmesinde düşük risk grubunda yer aldıkları bulundu. Özellikle kanser taramalarının daha sıklıkla yapıldığı aile hekimliği polikliniklerine başvuran kadınların meme kanseri risk faktörleri gözden geçirilmeli, kendi kendine meme muayenesi yapma durumları sorgulanmalı ve klinik meme muayenesi ile doğru teknik öğretilmelidir. Erken tanı için uygun yaş aralığında ve gerektiği hallerde mamografik görüntüleme için yönlendirme yapılmalıdır.
Kadınların Acil Kontrasepsiyon Bilgi Düzeyi, İlişkili Bazı Faktörler Ve Sağlık Okuryazarlığı İle İlişkisi
Authors: ARIÖZ Ayten , ŞAHİN Sevil , GÜLER Döndü , ÜNSAL Alaettin
Published: December 2023

Amaç: Kadınların acil kontrasepsiyon hakkındaki bilgi düzeylerinin saptanması, ilişkili olduğu düşünülen bazı değişkenlerin incelenmesi ve sağlık okuryazarlığı ile ilişkisinin değerlendirilmesidir.
Gereç ve yöntem: Bu çalışma, Haziran 2021-Ekim 2021 tarihlerinde arasında Sakarya’da bir Eğitim ve Araştırma Hastanesi’nin Kadın Hastalıkları ve Doğum Polikliniğine başvuran kadınlar üzerinde gerçekleştirilen kesitsel tipte bir araştırmadır. Çalışma grubu 456 kadından oluşmuştur. Çalışmada veriler, yüz yüze görüşme yöntemiyle elde edilmiştir. Kadınların acil kontrasepsiyon bilgi düzeyleri literatürden faydalanılarak hazırlanan 20 sorudan oluşan acil kontrasepsiyon bilgi formu ile değerlendirilmiştir. Bilgi sorularından 6.9 ve üzeri puan alanlar acil kontrasepsiyon hakkında bilgi düzeyi yeterli olarak kabul edilmiştir. Sağlık okuryazarlık düzeyinin belirlenmesi için Avrupa Sağlık Okuryazarlığı Ölçeği Kısa Formu kullanılmıştır. Verilerin analizinde Ki-kare testi, Lojistik Regresyon analizi, K-Means Kümeleme Analizi ve Spearman Korelasyon Analizi kullanılmıştır. İstatistiksel anlamlılık değeri olarak p≤0.05 kabul edilmiştir.
Bulgular: Çalışma grubunu oluşturanların yaşları 18-49 arasında değişmekte olup, ortalama 34.50±8.61 yıl idi. Acil kontrasepsiyon ile ilgili olarak en çok doğru bilinen bilgi sorusu %38.4 ile “Ertesi gün hapı döllenmiş yumurtanın rahim içine yerleşmesini önler” iken en çok yanlış bilinen ise %12.5 ile “Acil kontrasepsiyon için ilişki sonrası RIA uygulaması, hiç doğum yapmamış kadınlar için uygun değildir” idi. Çalışmada kadınlardan %65.1’nin acil kontrasepsiyon ile ilgili bilgi düzeylerinin yetersiz olduğu saptanmıştır. Kadınların Sağlık Okur Yazarlık Ölçeği puan ortalamasının 35.73±6.48 olduğu belirlenmiştir. Yapılan ileri analiz sonucunda “40 ve altı yaş grubunda olmak” ile “lise ve altı öğrenim düzeyine sahip olmak” yetersiz acil kontrasepsiyon bilgi düzeyi için iki risk faktörü olarak saptanmıştır. Acil kontrasepsiyon ile ilgili bilgi sorularından alınan puanlar ile sağlık okuryazarlığı ölçeğinden alınan puanlar arasında bir ilişki saptanmamıştır (r=0.029; p=0.531).
Sonuç ve öneriler: Çalışmamızda kadınların yaklaşık olarak üçte ikisinin acil kontrasepsiyon hakkındaki bilgi düzeylerinin yetersiz olduğu saptanmıştır. Kadınların acil kontrasepsiyon hakkındaki bilgi düzeyleri ile sağlık okuryazarlığı düzeyleri arasında bir ilişki saptanmamıştır. İstenmeyen gebelik ve isteyerek düşüklerin önlenmesinde acil konstraseptif yöntemlerinin bilinirliğinin artması oldukça önemlidir. Kadınların acil kontrasepsiyon hakkındaki bilgi düzeylerinin artırılabilmesi için konu hakkında sağlık otoriteleri tarafından eğitim etkinliklerinin yapılması ve bu yöntemlere ulaşımın kolaylaştırılması yararlı olabilir.
BİR AİLE SAĞLIĞI MERKEZİNDE SİFİLİZ OLGUSU
Authors: MERT Ayşen , DUR Gamze
Published: December 2023

Sifilis, Treponema pallidum cinsi spiroketlerin etken olduğu, deri döküntüsü, ağrısız genital ülser, lenfadenopati, mukokutanöz lezyonlar gibi pek çok farklı klinik durumla karşımıza çıkabilen cinsel yolla bulaşan bir enfeksiyondur. Kendiliğinden iyileşebilen ve yıllarca asemptomatik seyreden olgular hastalığın yayılmasına neden olabilir. Günümüzde hastalık epidemiyolojisindeki değişimler nedeniyle ileri yaşlarda da sifilis vakaları bildirilmektedir. Aile hekimliği, tıp disiplinleri arasında ayrışmamış hasta ile en sık karşılaşılan bölümlerdendir. Bu makalede, aile sağlığı merkezine genital bölgede yara, sol kasıkta şişlik ve ağrı şikayetiyle gelen bir hastaya aile hekimi tarafından sifilis teşhisinin konulması ve tedavisinin yapılması sürecini ve düşük prevalans hekimliği ve ayrışmamış hasta yaklaşımının birinci basamaktaki önemini dile getirmeyi amaçladık.
Analisis Kualitas Nutrisi Konsentrat Pakan Sapi Potong Dengan Variasi Waktu Pencampuran Pakan Menggunakan Mixer Vertical
Authors: Latief M. Fadhlirrahman , Hasrin Hasrin , Amal Ichlasul , Chadija St. , Aini Fitria Nur
Published: December 2023

Penelitian ini bertujuan untuk menginvestigasi pengaruh waktu pencampuran pakan yang berbeda terhadap kualitas nutrisi konsentrat pakan sapi potong dalam fase penggemukan, Bahan baku yang digunakan meliputi dedak padi, bungkil kelapa, tepung ikan, tongkol jagung, dan kulit kopi. Data nutrisi yang diamati mencakup kadar air, kadar abu, protein kasar, lemak kasar, dan serat kasar pada enam waktu pencampuran yang berbeda 5, 10, 15, 20, 25, dan 30 menit dengan masing-masing 3 ulangan pada rancangan acak lengkap. Hasil analisis menunjukkan variasi yang signifikan dalam kualitas nutrisi pada berbagai waktu pencampuran. Terdapat kecenderungan menurunnya kadar air dalam pakan seiring dengan peningkatan waktu pencampuran. Selanjutnya, perubahan waktu pencampuran cenderung mempengaruhi kadar abu, protein kasar, lemak kasar, dan serat kasar secara beragam. Selain itu, ditemukan bahwa waktu pencampuran 15 menit memiliki perbedaan yang nyata (P<0,05) dengan 12,91 % kandungan protein kasar. Penemuan ini mengindikasikan bahwa waktu pencampuran pakan memiliki dampak yang signifikan pada kualitas nutrisi konsentrat pakan sapi potong dalam fase penggemukan. Pemahaman lebih lanjut tentang interaksi antara waktu pencampuran dan karakteristik bahan baku dapat berkontribusi pada pengembangan strategi pencampuran yang lebih efektif dan optimal untuk memastikan kualitas nutrisi yang lebih baik dalam pakan ternak.
Analisis Potensi Pakan Hijauan untuk Pengembangan Ternak Ruminansia Di Kabupaten Bima Nusa Tenggara Barat
Authors: Anggriani Luluh , Muwakhid Badat , Sumartono Sumartono
Published: December 2023

Pakan merupakan faktor terpenting yang mendukung kelancaran suatu usaha peternakan, dimana 60 – 70 % biaya produksi usaha peternakan berasal dari pengadaan pakan. Penunjangan pengembangan usaha peternakan ternak ruminansia, diperlukan analisis potensi ketersediaan pakan terutama hijauan. Investasi lahan yang dapat digunakan sebagai pengembangan peternakan sangat perlu, hal ini menentukan ketersediaan hijauan pakan ternak untuk menganalisis kapasitas ternak yang dapat ditempatkan di wilayah tersebut. Penelitian ini bertujuan untuk mendeskripsikan potensi pakan hijauan di Kabupaten Bima dan mendeskripsikan pengembangan ternak ruminansia di Kabupaten Bima. Metode yang digunakan dalam penelitian ini yaitu Deskriptif dengan menggunakan data sekunder yang bersumber dari Dinas Pertanian dan Dinas Peternakan Kabupaten Bima. Hasil penelitian menunjukkan bahwa Kabupaten Bima pada tahun 2022 memiliki populasi ternak ruminansia (sapi potong, domba, kambing dan kuda) sebanyak 209.821,2 ST dengan potensi pakan sebesar 650.386 ton BK/Tahun terdiri atas pakan alami (rumput) dan hasil samping pertanian (jerami) sebesar 469,277 ton BK/Tahun. Daya tampung ternak mencapai 707.488 ST sehingga mempunyai potensi pengembangan sebesar 390.857 ST. Nilai IDD di Kabupaten Bima sebesar 1,3 yang masuk kategori kritis maka kemungkinan dilakukan pengembangan usaha ternak ruminansia relatif kecil.
Omics Technology for Genetic Selection Towards Feed Efficiency Traits of Indigenous Cattle in Indonesia: A Review
Authors: Soetanto Hendrawan , Fatchiyah Fatchiyah
Published: December 2023

Indigenous cattle in Indonesia seldom to reach their genetic potentials due to an interaction impact of harsh tropical climate and low-quality feed. Some indigenous breeds of cattle in Indonesia, such as Bali, Madura and Crossbred Ongole have demonstrated their successful adaptation to survive in the harsh environment, but their ultimate performances are still considered less than their genetic potentials when reared under comfortable environment like in the sub-tropical climate. This is primarily due to inefficient fermentation of feed originating from inadequate supply of essential nutrients required for optimum growth of microbes in the forestomach. A rapid advancement of omics technology has been the driver for ruminant nutritionists to use such a technology to study the interrelationship between nutrients and particular genes associated with the biochemical pathways of nutrients at molecular levels. This review highlights the current issues and challenges on the use of omics technologies to improve the efficiency of feed utilization by cattle consuming low-quality diets and its potential to be used in the genetic selection program.