bluuebunny/crossref_metadata_2025 huggingface dataset:
Bases del pensamiento tensivo
Authors: Tatit Luiz
Published: February 2024

En este texto, el autor revela algunas de las etapas decisivas que marcaron el ingreso del pensamiento tensivo en la semiótica de Algirdas Julien Greimas. El principal sujeto de ese relato fue el francés Claude Zilberberg, quien supo dirigir el contrapunto de la semiotización fundada por el teórico lituano con la temporalización practicada por Paul Valéry, con la idea de acentuación preconizada en Ernst Cassirer y con la musicalización encontrada en Gisèle Brelet. Zilberberg llegó, paso a paso, a una gramática tensiva, en la que se articulan intensidad (fuerza afectiva) y extensidad (alcance de los hechos) y, al mismo tiempo, a una gramática de la espera que responde por la coexistencia de los conceptos antagónicos, que incluye, evidentemente, sus propios conceptos contrarios, como los de evento y sorpresa.
La dimensión afectiva en la fenomenología de José Ortega y Gasset. Notas para un estudio sistemático a partir de Manuel Granell
Authors: Expósito Ropero Noé
Published: February 2024

El propósito de este artículo es presentar algunas de las contribuciones más importantes de José Ortega y Gasset al estudio de la afectividad. Tal como se indica en el título, no se trata aquí de un análisis exhaustivo de este tema, sino, más bien, de esbozar algunas notas básicas para un estudio sistemático ulterior, entendiendo por sistemático el análisis que permita dar cuenta del papel que juega la afectividad en la arquitectura filosófica orteguiana. Para ello, la tesis que se defiende a lo largo del texto es que, a diferencia de otras interpretaciones, como la de Antonio Rodríguez Huéscar o Pedro Cerezo, de quienes este trabajo se ocupa, los análisis orteguianos de la afectividad se formulan y legitiman fenomenológicamente, esto es, en el paradigma de la filosofía fenomenológica inaugurada por Edmund Husserl. Para apoyar esta última tesis se toman como base, por un lado, los estudios de Javier San Martín y, por otro, los de Manuel Granell, discípulo de Ortega exiliado en Caracas a partir de 1950.
Diálogo sobre la visualidad en la pintura
Authors: Ruiz Ramírez Víctor Alejandro
Published: February 2024

La semiótica considera a la visualidad como una forma y valor de la percepción. Esta consideración coincide con la del concepto de percepción visual postulado por la fenomenología, por la cual reconoce no sólo la puesta en relación de lo visual con lo táctil o lo auditivo, sino la reversibilidad entre vidente y visible. Este artículo expone algunas aportaciones que se podrían hacer desde la fenomenología y la semiótica a los estudios sobre la cultura visual considerando la pintura en su visualidad. No trato de dar cuenta de las descripciones que ambas disciplinas han desarrollado sobre la percepción y la imagen; mi propósito sólo es mostrar cómo definen la percepción visual desde el estudio de la pintura para sugerir postulados de interés a los estudios de la cultura visual.
Bildwissenschaft y cultura visual digital
Authors: Martínez Luna Sergio
Published: February 2024

El artículo analiza algunas de las principales líneas de investigación de la ciencia de la imagen alemana (Bildwissenschaft) en el contexto de las transformaciones de la cultura digital y su impacto en la condición actual de la imagen. Después de hacer una comparación entre las aproximaciones de los estudios visuales anglosajones y de la Bildwissenschaft a la cultura visual y a la imagen, se resumen los enfoques de tres de los teóricos más destacados de este campo de estudio: Gottfried Boehm, Horst Bredekamp y Hans Belting. Finalmente se estudia el alcance de los desarrollos teóricos de estos pensadores para abordar la cultura visual digital, atendiendo a las cuestiones del concepto de imagen, de la agencia icónica y de los medios.
Social Well-being and its Relationship to Social Media Usage among Hashemite University Students
Authors: Mahasneh Ahmad , Gazo Ahmad , Batineh Omar , Al-Adamat Omar
Published: February 2024

Objectives: The study aims to identify social well-being levels and the use of social media by gender and to determine whether there are differences in these levels across academic specializations. It also examines the correlation between social well-being and social media use.
Methods: Purposively selected, the sample of the study consisted of 840 male and female students at Hashemite University. Accordingly, various scales were used to achieve the study's objective, including a social well-being scale and a social media use scale. In terms of social well-being and social media usage, there were three levels: high (3.68-5), moderate (2.34-3.67), and low (1-2.34).
Results: Findings indicated that both levels of social well-being and social media use were moderate. The results also indicated that there were no statistically significant differences in levels of social well-being based on sex and academic specialization. On the other hand, the results showed statistically significant differences in the level of social media usage due to gender, in favour of females, and statistically significant differences in the level of social media usage due to academic specialization, in favour of students at humanist colleges. Finally, results showed a positive and statistically relationship between social well-being and social media usage.
Conclusions: The study recommends conducting counseling programs and workshops to educate university students about the negative aspects of social media addiction.
The Role of Identity in the Constructivist School: A Theoretical Study with Application to the Russian-Ukrainian Conflict
Authors: Al Tarawneh Tarek
Published: February 2024

Objectives: This study aims to scrutinize the role of identity in the constructivist school and the reason for its connection with the constructivist perspective in international relations. It also deals with the impact of the components of the cultural dimension in general and the concept of identity in particular on contemporary international conflicts with application to the Russian- Ukrainian conflict

Methods:. The study relies on the functional constructivist approach because it helps in the comparative study of political systems and it analyzes international relations from the perspective of the social construction of events.

Results:. This study concluded that the Ukrainian crisis confirmed Russia's restoration of its natural position as a major, effective and influential power regionally and internationally. This crisis also reflected the desire of the Russian leadership to correct the imbalance of power with the United States to become a more equal relationship between two partners within the framework of a multi-power system that ends American uniqueness in managing international affairs.

Conclusions: Ukraine is an arena in which strategic accounts are intertwined with historical roots, as well as political and economic factors are intertwined with cultural ones.
An Image of the Village from the Local to the Global in the Novel (Season of Migration to the North) by Al-Tayeb Salih: A Literary Critical Study
Authors: Albalolazzaina Mohamed Musa
Published: February 2024

Objectives:This highlights on the symbolism of the image of the village in the novel (Season of Migration to the North) by Tayeb Salih, and the reasons that transferred it from the local to the global.

Methods: The study plan depend on the descriptive-critical-analytical approach based on observation and induction, and it came in an introduction, three chapters and a conclusion.

Results: of the study concluded that Al-Tayeb Salih’s connection to his country, and his experience of emigration and his vast culture, enriched and deepened his experience; He produced a mature and purposeful narrative work that excited readers and specialists locally and glob. And the image of the village in the novel is composed of a local image of its social, political, cultural and religious nature, and a Western image on the lips of its children. And that the reasons that brought the image of the village in the novel (Season of Migration to the North) to globalism are: the intellectual and artistic side, place and time, migrations, translation and translators, literary and critical studies, the Internet. And this confirms that globalism stems from locality.
DOWRY PRACTICES AND LEGISLATION IN INDIA AND ITS RELEVANCE IN CURRENT DAYS TO MALAYSIA
Authors: Fernandez Angelina Anne , Kandasamy Shamini , Zulkifli Rozitaayu , Kho Guan Khai
Published: February 2024

In the Hindu Culture patriarchal values is hailed in which it support female inferiority (Sonia Dalmia,Pareena G. Lawrence. 2001). It is to be noted that on the Indian subcontinent,there exist a “theory of perpetual tutelage for women” which was formulated by Manu, the Hindu lawgiver. In which he preached that education for girls should be stopped. He also preached that they should be not permitted to have a public life and must restrict themselves to their homes. He reiterates that a wife ought to respect her husband as God and serve him faithfully.Even though if he were vicious and void on any account , it was to be accepted as applicable to all women. And under the ambit of these laws, women become weak and subservient. Marriages were determined by the parents. And the wives in turn lost their identity as an individual or as a member of community and became more like a commodity which could be bought and sold. And polygamy is permitted and there is no provision of divorce or remarriage for women. The status of women in both Hindu is rather intriguing and complex. At one level she is considered as a Goddess (Devi). An example is elucidated in SEETA the wife of RAMA, a personification of sweet long-suffering wife in which she is the embodiment of motherhood in which she bore a male child, thus paving her the potential to become LAKHSHMI also preconceived as the harbinger of luck. Nonetheless, she is blamed for all the ills and degradation of man’s moral and spiritually. The objective of the study is we will be examining cases on dowry in India and also visiting the current situation in Malaysia. Author will be employing the doctrinal legal research methodology.
Improvement of contrast ratio between cavitation bubbles and tissue by frequency filtering in triplet pulse ultrasound imaging
Authors: Kuji Shota , Umemura Shin-ichiro , Yoshizawa Shin
Published: February 2024

Bubble-enhanced high-intensity focused ultrasound treatment requires selective imaging of cavitation bubbles to ensure their localization to the target tissue. Previous studies have proposed the ultrasound imaging of cavitation bubbles with a filtering method, which makes bubble extraction by a triplet pulse sequence more selective. The envelope component as well as harmonic components are generated during the nonlinear propagation of an ultrasonic imaging pulse, but the triplet pulse sequence can significantly reduce only the harmonic components, and its selectivity is degraded by the residual envelope component. In this study, the effects of nonlinear propagation at various intensities of imaging pulse and the frequency filtering to obtain better selectivity are investigated for the triplet pulse sequence with a filtering method. The result shows that the imaging pulse intensity is an important parameter that determines the strength of the effect of nonlinear propagation and that the optimal frequency filtering changes according to it.
Ge-on-insulator fabrication based on Ge-on-nothing technology
Authors: Yamamoto Keisuke , Wang Dong , Loo Roger , Porret Clément , Cho Jinyoun , Dessein Kristof , Depauw Valérie
Published: February 2024

Ge-on-Insulator (GOI) is considered to be a necessary structure for novel Ge-based devices. This paper proposes an alternative approach for fabricating GOI based on the Ge-on-Nothing (GeON) template. In this approach, a regular macropore array is formed by lithography and dry etching. These pores close and merge upon annealing, forming a suspended monocrystalline Ge membrane on one buried void. GOI is fabricated by direct bonding of GeON on Si carrier substrates, using an oxide bonding interface, and subsequent detachment. The fabricated GOI shows uniform physical properties as demonstrated using micro-photoluminescence measurements. Its electrical characteristics and cross-sectional structure are superior to those of Smart-CutTM GOI. To demonstrate its application potential, back-gate GOI capacitors and MOSFETs are fabricated. Their characteristics nicely agree with the theoretically calculated one and show typical MOSFET operations, respectively, which indicates promising Ge crystallinity. This method, therefore, shows the potential to provide high-quality GOI for advanced Ge application devices.
Dependence of reaction on vessel position, diameter, and liquid height in the sonochemical reactor with indirect irradiation
Authors: Yasuda Keiji , Yamazaki Takashi , Asakura Yoshiyuki
Published: February 2024

To investigate the sonochemical reaction performance caused by the indirect irradiation at 500 kHz, the glass vessel and a KI aqueous solution were used. Both the ultrasonic power and reaction rate had maximum values at every half wavelength of ultrasound. When the vessel position was adjusted to a larger absolute value of transducer impedance, the reaction rate became higher. The reaction rate and ultrasonic power increased as the vessel position moved closer to the transducer. The reaction rate first increased as the electric power applied to the transducer increased, reached a maximum value, and then decreased. This decrease phenomenon is called quenching of the sonochemical reaction. Before the quenching occurrs, the reaction rate per unit volume almost linearly increased with ultrasonic power density. The effects of the vessel diameter and liquid height on the relationship between the reaction rate per unit volume and the ultrasonic power density were small.
Optical properties of negatively charged germanium-vacancy centers in detonation nanodiamonds with an average single-digit nanometer particle size
Authors: Makino Yuto , Saito Yoshiki , Minowa Yosuke , Tsurui Akihiko , Kishino Yoshiki , Kouuchi Takashi , Takeuchi Yusaku , Yamagishi Gaku , Ashida Masaaki
Published: February 2024

Nanodiamonds that contain germanium-vacancy centers (GeV-NDs) exhibit significant potential for biomedical and quantum science applications. GeV-NDs with an average particle size of 9 nm were recently fabricated through a detonation process that enables the practical-scale production of detonation NDs (DNDs). However, the optical properties of the GeV centers in the DNDs have not been studied thoroughly. In particular, the luminescence spectrum of these GeV-DNDs had an unassigned peak at 1.98 eV. Here, we investigate the optical properties of GeV-DNDs under various conditions. Although the GeV-DNDs exhibit a zero-phonon line (ZPL) with similar excitation energy dependence and photostability to their bulk counterparts, the ZPL linewidth is broader. The 1.98 eV-peak is attributed to a composite phonon sideband peak. The unique properties of the GeV centers in these small DNDs are explained by enhanced electron–phonon coupling.
Metalworking Fluid Classification Based on Acoustic Emission Signals and Convolutional Neural Network
Authors: Wei Xiao , Demmerling Anna Lena , Söffker Dirk
Published: February 2024

Acoustic emission (AE) which describes the transient stresswaves generated by the rapid release of energy from solidsources has been widely used in nondestructive testing(NDT) of materials and structures especially in healthmonitoring. As a class of deep neural networks,convolutional neural network (CNN) has applications inmany fields. Several investigations have been conducted onthe application of CNN in feature learning and faultdiagnosis and prognosis. Metalworking fluids (MWF) play asignificant role in manufacturing processes. By reducingfriction between tool and workpiece, the heat generation inmetalworking process is affected. Thread forming is atransformative manufacturing process for generating threadsin ductile materials. As the thread geometry is manufacturedby cold forming of the material, lubricating properties of theMWF strongly effect tool wear and workpiece quality. Upto now, there are only a few papers on MWF classificationusing the process variables like torque or released AE. Inthis contribution, a novel approach combining AE signalsand CNN is raised for MWF classification. A tribometer isused to carry out thread forming trials under well-controlledexperimental conditions. AE measurements are conducted incontext of thread forming. The AE signals are divided intosuitable samples and CNN is applied as classifier. Theresults of MWF classification show that the new approachcould distinguish different types of MWF.
Power Devices Health Condition Monitoring: A Review of Recent Papers
Authors: Foube Foube
Published: February 2024

Power semiconductor devices with adjacent interconnection structures are recognized as the most fragile components of power electronic systems. Condition monitoring addresses this fragility by developing methods and technologies for assessing the component’s state of the health. This paper aims to provide entry points to comprehensive, state of the art references on this complex subject, which has been the subject of an extensive research over the last two decades.

An overview of the current state of the art in condition monitoring of power devices (IGBT, MOSFETs) is given with focus on current induced degradation  (active thermal cycling). Degradation indicators and temperature sensitive parameters are discussed, as well as their sensibilities to different parameters. Important practical aspects for the use of these indicators in monitoring system are pointed out. The conclusion provides discussion on industrial application perspective of the presented methods.
Qualifying Evaluations from Human Operators: Integrating Sensor Data with Natural Language Logs
Authors: Brundage Michael P , Sharp Michael , Pavel Radu
Published: February 2024

Even in the increasingly connected world of smart manufacturing and Industrial Internet Of Things (IIOT), there will always be a need for human operators and evaluations. When creating equipment condition monitoring models and heuristics, the human operator observations are often difficult to quantify or track. This situation can lead to the observations being misunderstood or ignored completely. This work seeks to highlight the untapped potential for augmenting numeric data from sensors and control systems with human input and vice versa, by integrating documented natural language reports with data collection technology in a novel and intuitive way. This is an exploratory work that utilizes an experimental setup with a limited and controlled accelerated aging setup where human observations were recorded at regular intervals. Data collected helps validate the concept and begin developing the process of linking natural language to quantified sensed values. Recommendations for follow on work and extensions of the performed analysis are provided as part of a gaps and a next steps outline.
Flexible Data Management System for the Analysis of an Electro- Mechanical Actuator on a Test Bench
Authors: González Velázquez Roberto , Bravo-Imaz Iñaki , López de Calle - Etxabe Kerman , Arnaiz Aitor
Published: February 2024

The analysis of the behaviour of complex mechanical components in order to identify relevant patterns for health monitoring and diagnostics is a complex task. One example of this complexity is the data workflow that can be generated for analysis purposes when a new prototype of an electro-mechanical actuator (EMA) is being designed and experimented. The most accurate way of getting valuable insights during this analysis is by running tests in a controlled environment. In this regard, a test bench can be used to simulate the operating conditions experienced by the actuator during its operational lifetime in an accelerated manner.

Depending on the number and nature of the parameters to be obtained, the prototype’s functionality under study, and the test frequencies and experiment duration, big data challenges may appear (volume, variety, and velocity). The analysis of such data and the development of adequate data-driven algorithms usually involves computations on massive amounts of data, a flexible and automated data pipeline, repeatable and reliable operations, and a collaborative approach. The use of DataOps techniques on a cloud infrastructure can provide the ideal environment for creating an end-to-end integrated architecture which meets these requirements.

This work describes a data-driven information system developed for an electro mechanical actuator on a test bench. It uses a multivariate statistical process control (SPC) and a linear discriminant analysis (LDA) algorithm for detecting and evaluating the evolution of the actuator’s health. The information system runs an automated data pipeline on a cloud platform with signals obtained on the test bench, leveraging DataOps and machine learning techniques for a flexible and scalable data management.
Data Analytics Methodology for Construction of Fouling Prognostic Indicators: Towards Cost-Effective Maintenance Scheduling
Authors: Soualhi Moncef , Ragab Ahmed , Nguyen T. P. Khanh , Medjaher Kamal , Ghezzaz Hakim , Amazouz Mouloud
Published: February 2024

Data-driven prognostics and health management solutions play an important role for condition monitoring of industrial systems. They offer promising perspectives for high reliability, availability, maintainability, and safety production, especially in Industry 4.0 where model-based approaches are not suitable for complex systems. To build an efficient diagnostic and prognostic model, the collected sensor measurements are injected into processing algorithms to extract features and construct health indicators. The performance of this procedure strictly depends on the data quality. However, the availability of reliable and exploitable data remains one of the most challenging issues in condition monitoring. This paper presents advanced data analytics to construct prognostic health indicator. This method aims at obtaining reliable and exploitable indicators that represent multiple degradations evolution of the system. It consists of an automated processing algorithm that detect and isolate trajectories representing the system health state from its nominal condition to its critical level. The performance of the proposed method is investigated through a real data of pulp and paper manufacturing where the degradation process is an evolution of fouling in a black liquor heat exchanger.
A Semantic Similarity Model to Compare Heterogeneous Data Sources to Augment Engineering Data with New Failure modes in Automotive Industry
Authors: Rajpathak Dnyanesh , Cafeo John
Published: February 2024

In real life industry, in-time exposure of symptoms and their failure modes observed during fault events provide key signals to system engineers to take necessary corrective actions for effectively arresting product defects. A real-life ontology-based semantic similarity system is employed for automatic comparison of engineering data (comes in the form of design failure mode effect analysis, DFMEA data) with the field repair data collected during product warranty period.
Given the complexity of engineering data and the overwhelming volume (hundreds of millions of data points) of field repair data makes identification of new symptoms and failure modes from the first principles an impractical task. Typically, the engineering data is recorded by using technical vocabulary, e.g. unstable electric contact, Seat Belt comfort per MVSS208, whereas the field repair data is highly unstructured in nature. Consequently, we observe following types of noises in the field repair data – abbreviated text entries, inconsistent use of vocabulary (‘seat buckle is damaged’ vs ‘buckle unlatching’), and finally the incomplete text entries. More importantly, limited mental mapping capacity of a human agent limits discovery of new symptoms and failure modes from the industrial scale data. Not surprisingly, the text mining and semantic similarity are gaining a serious attention due to their ability to automatically discover the knowledge assets buried in unstructured text by training machines to compare and link high volume of data.
In our approach, initially the key constructs (e.g. symptoms, failure modes) from the data are annotated by using the domain ontology. These constructs are then used to construct pairs of terms and pairs of tuples, which are used to compute pair-to-pair and tuple-to-tuple semantic similarity respectively. Finally, the text-to-text semantic similarity is calculated by combining other two semantic similarity scores. It is used to determine whether new symptoms or failure modes from the field repair data can be used to augment the DFMEA data.
The proposed method is implemented as a prototype tool and its performance is validated by using real-life data from automobile domain. On an average, our system has F1 score of 0.75 and 0.78 in discovering and identifying new symptoms and synonym symptoms respectively, whereas it achieved the F1 score of 0.72 and 0.68 in discovering new failure modes and in identifying synonym failure modes respectively. The fault detection rate is improved by 35%, whereas the fault isolation rate is improved by 40.5%.
Evaluating word representations in a technical language processing pipeline
Authors: Nandyala Ajay Varma , Lukens Sarah , Rathod Sundaram , Agarwal Pratiksha
Published: February 2024

The recent explosion of advancements in natural language processing (NLP) are encouraging in the industrial sector for leveraging the volumes of unstructured, technical data that currently sit unused. However, results from direct application of many NLP pipelines to technical text often fail to address the business needs of industrial companies. One requirement for satisfactory performance is an effective representation of the unstructured text in a form which containstheinformationrequiredforanapplicationtask. We know of no standard methodology for evaluating word representations for technical text tailored to industry needs. In this paper, we propose guidance and methods for evaluating the performance of word representations for industrial use-cases.
Probabilistic Similarity Based Modeling Approach for Turbomachine Fault Prediction
Authors: Tang Weijian , Jiang Xiaomo , Zhao Haixin , Chen Qing , Gong Yunqing
Published: February 2024

Faults in the critical components of a turbomachine usually result in unplanned outage, leading to huge loss of properties and life. Condition monitoring becomes a promising tool to provide automatic early alerting of potential damage in critical components thus ensuring the system safety and reliability while lowering its maintenance cost. This is still a challenging hot topic due to the data imperfection and multivariate correlation, as well as the variation of faults and components in different turbomachines. This paper presents an enhanced generic probabilistic similarity-based method to address these challenges in fault prediction of large turbomachines. Bayesian wavelet multi-scale decomposition is proposed to address the potential noise in the sensed multivariate time historical data. The advanced signal processing balances the over-denoising and under-denoising of raw multivariate signals. An optimized auto-associative kernel regression (OAKR) approach is developed to represent the healthy status of the turbomachine system and further predict its responses under unknown status. The band width of the kernel function in the method is optimized through Nelder-Mead simplex algorithm. The alerting threshold based on the squared mean errors of the predicted and measured time series is adjusted automatically through a rolling window strategy. A comparison study is conducted to demonstrate the effectiveness and feasibility of the proposed methodology by using the real-world data and events collected from a centrifugal compressor.
Multiple-Model Estimation-based Prognostics for Rotating Machinery
Authors: Qi Junyu , Gryllias Konstantinos , Mauricio Alexandre
Published: February 2024

Data-driven based prognostics approaches are currently attracting unprecedented attention. Considering flexibility, statistical model based prognostics, which present more transparency and usually incorporate statistical models with stochastic filtering, are studied in this paper. Traditionally, versions of Kalman filter and Particle filter are combined with a single statistical model. However, the service life of a bearing could undergo several health stages, such as a normal stage, a slight degradation stage, and a severe degradation stage. Thus, a single model cannot represent well the full degradation process of a bearing. As such, the concept of Multi-Model Estimation (MME) has been introduced in the field of CM of rotating machinery. Initially the Switching Kalman Filter (SKF) has been proposed combining three linear statistical models, but the Classic Kalman filter (CKF) might be insufficient for nonlinearity estimations. In this paper, we extend MME from CKF to nonlinear system estimation, for instance with extended Kalman filter, unscented Kalman filter and Particle filter, which can well overcome the drawbacks of CKF. Besides, twelve statistical models are studied and used for the automatic switch in the proposed multi-model methodology. The methodology is tested and evaluated on fifteen experimental datasets and it can be concluded that the extended MME outperforms the classic switching Kalman filter.
Remaining Useful Life Prediction of Turbo Actuators for Predictive Maintenance of Diesel Engines
Authors: Bhave Devawrat , Adiga Deepa Tavargeri , Powar Nilesh , Mckinley Thomas
Published: February 2024

Prognostics applications in the automotive industry are growing rapidly and customers have begun to expect this capability. Remaining useful life (RUL) models are an important aspect of a prognostic as they affect both how far in advance and with what confidence failures can be predicted. Model selection and design must include technical considerations such as mathematical complexity and training data availability, as well as business considerations such as implementation plans, constraints, and risks of inaccurate predictions.

This paper compares different RUL models that have been developed for turbo actuators on diesel engines, with the business objective of advising bus fleet customers on preventive maintenance intervals. The design, development, validation, and resulting prediction accuracy of each RUL model is detailed. A selection process is then applied to choose the model best suited to the intended purpose. In doing so, the paper sheds light on strengths and weaknesses of deep learning RUL models over statistical RUL models. The paper also focuses on the state-of-the-art deep learning network “Tabnet” and its results for useful life predictions. Among the different methods, Accelerated Weibull Failure Time model provides better predictions with a concordance of 0.94 and ~15% less error than any other model.
Divide, Propagate and Conquer: Splitting a Complex Diagnosis Problem for Early Detection of Faults in a Manufacturing Production Line
Authors: López de Calle - Etxabe Kerman , Gómez - Omella Meritxell , Garate - Perez Eider
Published: February 2024

The following paper elaborates the procedure followed by the HIRUTEK team to solve the data challenge proposed by the PHM 2021 organisation. This challenge deals with a manufacturing line that continuously tests fuses and suffers from several malfunctions. The solution addresses the diagnosis of the faults; the efficiency of the diagnosis; the identification of the signals related to each fault type; and, the identification of different operation settings that occur during the non-faulty conditions.The proposed problem presents some difficulties that are common to machine fault diagnosis or manufacturing line monitoring; such as the class imbalance; the high amount of missing values; multicollinearity and high dimensionality; and, experimental noise. Additionally, the evaluation criteria presents further challenges such as the consideration of chronology and the detection of operation states (also referred in the literature as context awareness). The consideration of all these factors turns this exercise in a very representative and challenging problem. The solution here proposed, that obtained the highest score in the contest, relies on the combination of decision tree algorithms and a propagation system. The trees provide observation-wise diagnoses while the propagation system deals with chronology by adding a Kalman style filter that updates the probabilities, resulting in a more reliable result.
Necrotizing Fascitis of the Neck: Rare Case Report
Authors: Ortiz Md Karen Lissette Mina , González MD Katherine Elizabeth Córdova , Bejarano MD. Rosa Maritza Fajardo , Quisaguano MD Daysi Tatiana Balseca , Velasco MD Xavier Alejandro Hidalgo
Published: February 2024

Introduction: necrotizing fasciitis corresponds to a bacterial infection of soft tissues, characterized by diffuse and rapidly progressive necrosis of the subcutaneous cellular tissue and musculoaponeurotic system, accompanied by marked systemic septic involvement. Clinical case: the case of a 63-year-old patient, former smoker, pack year 10, clinical picture of approximately 4 days is presented, characterized by generalized facial edema without improvement with pharmacological treatment, accompanied by unquantified thermal increases, intense pain. neck, general condition assessment and appearance of signs of phlogosis and ampullary lesions in zone 3 and 4 of the right neck. The diagnosis of necrotizing fasciitis of the neck with no apparent cause was established. A necrectomy was performed and the patient was admitted. Discussion: in this particular case, the unusual location of necrotizing fasciitis in the anterior region of the neck is striking; it generally occurs in people with diabetes mellitus and immunocompromised people and in this case it occurs without apparent cause. Conclusion: necrotizing fasciitis of the anterior region of the neck without apparent cause, rare infection, rapidly progressive and difficult to diagnose in the early stage.
Términos neutros usados como peyorativos: Sobre una propuesta reciente de Vicente, Fraser y Castroviejo
Authors: Zerbudis Ezequiel
Published: February 2024

Considero la propuesta reciente de Vicente, Fraser y Castroviejo según la cual hay (al menos) dos tipos distintos de lenguaje peyorativo en español, uno de los cuales (el que apela a términos neutros usados como insultos) no ha sido, según los autores, suficientemente apreciado y estudiado. Si bien concuerdo con la importancia de la distinción, sugiero una explicación alternativa a la que ellos dan del fenómeno de los términos neutros usados como insultos, que sugiere entenderlos como un caso particular de uso metafórico, y del contenido peyorativo genérico transmitido, que apela a fenómenos generales de la interpretación de metáforas y de la acomodación de presuposiciones.
Paraconsistency, Evidence and Semantic Incompleteness
Authors: Bezerra Edson
Published: February 2024

In this paper, we argue that the systems Basic Logic of Evidence (BLE) and Logic of Evidence and Truth (LETJ) suffer a kind of semantic incompleteness with respect to the informal notion of evidence. More especifically, we argue that the connective o of the logic LETJ fails to validate intuitive principles about conclusive evidence.
PERANCANGAN DESAIN KEMASAN AYAM FROZEN SAVANNA LAWEH UNTUK MENINGKATKAN NILAI JUAL MAKANAN TRADISIONAL
Authors: Bangun Dwi Agnes Natalia , Maheni MRR. Tiyas , Chairunnisa Adelia , Pramesti Rachmadita Dwi , Fajrina Nabila , Anggarini Anggi , Susilawati  , Andriyanto
Published: February 2024

Pelaku UMKM yang menjadi anggota Komunitas Sahabat UMKM belum banyak yang memahami pentingnya desain kemasan untuk meningkatkan nilai jual produk. Desain kemasan saat ini belum representatif serta kompetitif di pasaran karena dibuat dengan sederhana. Melihat permasalahan tersebut, Program Studi Desain Grafis Politeknik Negeri Jakarta menjalankan kegiatan Pengabdian kepada Masyarakat (PkM) dengan Komunitas Sahabat UMKM sebagai mitra. Kegiatan yang dilakukan yaitu pembuatan desain kemasan untuk produk makanan tradisional yang memenuhi kriteria desain kemasan yang modern dengan tetap merepresentasikan produk makanan tradisional. Salah satu peserta UMKM yang terpilih yaitu Savanna Laweh. Tim PkM telah bertemu dengan UMKM Savanna Laweh untuk mendiskusikan kebutuhan desain kemasan dan menyepakati arahan desain yang disusun pada creative brief.  Selanjutnya, tim PkM yang terdiri dari dosen dan mahasiswa mengembangkan konsep desain kemasan hingga menjadi final art work. Desain kemasan yang telah disetujui kemudian dicetak. Selanjutnya dilaksanakan workshop brand storytelling sekaligus penyerahan desain kemasan dari tim PkM kepada pelaku UMKM. Adapun hasil dari kegiatan PkM ini adalah UMKM Savanna Laweh mendapatkan kemasan pouch sejumlah 560pcs berukuran 22cm x 32cm yang menggunakan material paper metalize laminasi doff dengan zipper dan tear notch. Desain kemasan dirancang dengan konsep clean, simple, dan modern dengan elemen desain yaitu warna utama hijau tosca dan putih keabuan, font Montserrat, dan ilustrasi rempah nusantara dan peta Indonesia. Setiap kemasan pouch ini dapat membungkus 2 pack ayam frozen. Melalui desain kemasan yang baru, identitas Indonesia sebagai daerah penghasil dapat tersampaikan dan nilai jual produk dapat meningkat.
The Impact of Post-Dobbs Abortion Bans on Prenatal Tort Claims
Authors: Diamond Aviva
Published: February 2024

In June 2022, the Supreme Court revoked Americans’ fundamental right to abortion in Dobbs v. Jackson Women’s Health Organization. However, the Court said nothing about how its decision would impact tort claims related to reproductive care. Many states have since adopted near-total or early-gestational- age abortion bans, which has not only diminished access to reproductive care, but has also incidentally impaired the ability of plaintiffs to bring long-recognized prenatal tort claims. Prenatal tort claims—wrongful pregnancy, birth, and life—allow victims to recover when a medical professional negligently performs reproductive or prenatal care. This Note identifies the impact that post-Dobbs abortion bans and restrictions will have on each type of prenatal tort claim. This Note explains the purposes of prenatal tort claims and supplies an up-to-date, nationwide survey of the recognition of these claims. It then provides empirical evidence demonstrating the politicized nature of prenatal tort claims and analyzes the ways that abortion bans will impact them. Finally, it outlines potential constitutional, tort law, and nonlegal solutions to Dobbs’s impact on prenatal tort claims.
Self-organization of friction and wear in sliding bearing units
Authors:   Kochenov V.A. Avdeeva E.A. Mejenina E.I.
Published: February 2024

The dependence of wear on the bearing sliding unit load conditions is analyzed. The positive wear factor is substantiated, ensuring the creation of a new, more stable macro- and microgeometry of the friction surfaces of parts, causing minimal energy costs for friction.

Keywords
sliding bearing unit, load, friction, wear, design
Highly porous or highly structured tool — the choice for high-performance defect-free grinding
Authors:   Starkov V.K.
Published: February 2024

The features and advantages of highly porous and highly structured grinding wheels are analyzed. Assessments of their effectiveness and a forecast for further development are given. The possibility of using tools with increased degree of structure of up to the limit value 30 and volumetric porosity of up to 80 % is substantiated.

Keywords
grinding wheel, degree of structure, porosity, abrasive, graininess, hardness, characteristics of the grinding wheel
Method of homogeneous approximation of a dividing grid
Authors:   Vinnik P.M.
Published: February 2024

A method for homogeneous approximation of the nodes of a deformed mesh is proposed, which makes it possible to reduce the influence of distortions caused by random and systematic errors in determining the coordinates of the nodes of a deformed mesh. The application of this method for assessing deformations during extrusion through a channel with sections of variable shape is shown.

Keywords
dividing grid method, measurement errors, extrusion, channel, section, widening extrusion
MOTIVATION AND PERFORMANCE OF SECONDARY TEACHERS IN EASTERN SAMAR: BASIS FOR FORMULATION OF INNOVATIVE RESEARCH AND DEVELOPMENT
Authors: Roy O. Anabo
Published: February 2024

The main objective of this study is to determine the level of motivation and work performance of secondary teachers in Eastern Samar, Philippines. A total of 302 respondents the researcher utilized a survey questionnaire with descriptive correlational research design. To analyze the data, mean scores, percentile rank, frequency count, and Spearman rho correlation coefficient will be used with a 0.05 level of significance. Findings revealed that the level of motivation of secondary teachers in Eastern Samar is high motivating with a 3.51 mean score. The work performance of secondary teachers in Eastern Samar is very satisfactory with 77.82% or 235 and 22.18% or 67 for outstanding performance. There is a significant relationship between the variables (spearman rho = 0.515; p-value = 0.26). However, to encourage secondary teachers to motivate more in the workplace there is a need to provide financial assistance and harmonious relationships with their co-teachers and school administrators. It is highly recommended to provide necessary technical assistance for the development of the teaching and learning process. School administrators should have quality assurance in terms of teaching strategies to motivate them to learn more in the field of education. Future researchers may conduct a similar study to validate the results of the study.
KEYWORDS— level of motivation, work performance, secondary teachers, research and development
PENGARUH VARIASI TEMPERATUR DAN KECEPATAN UDARA TERHADAP KINERJA MESIN PENGERING KERUPUK RUMPUT LAUT
Authors: Sunandar Siregar Mhd , Anggara Mietra , Aldrin Aldrin , Hidayat Amri
Published: February 2024

Kerupuk rumput laut merupakan makanan yang digemari masyarakat Indonesia, karena memiliki rasa yang gurih, renyah dimulut, dan memiliki banyak dampak kesehatan bagi tubuh manusia. Kualitas kerupuk rumput laut sangat dipengaruhi pada proses pengeringan, sebagian besar pengusaha kerupuk rumput laut di Sumbawa masih menggunakan cara tradisional pada sinar matahari yang membutuhkan waktu yang lama. Penelitian ini dilakukan untuk mengetahui kinerja mesin pengering kerupuk rumput laut menggunakan bahan bakar gas lpg akibat pengaruh temperatur dan kecepatan udara. Adapun variabel dalam penelitian ini adalah laju pengeringan, kadar air, efesiensi pengeringan, dan konsumsi bahan bakar. Hasil penelitian ini setelah pengujian didapatkan yaitu, pengujian laju pengeringan yang tertinggi pada temperatur 70oC dan kecepatan 3 m/s dengan nilai 0.99 gr/menit, kadar air kerupuk rumput laut yang memenuhi SNI pada temperatur 70oC dan kecepatan 2 m/s dengan nilai kadar air 10% dan 3 m/s dengan nilai kadar air 8%, efesiensi pengeringan tertinggi pada temeratur 50oC dan temperatur 60oC  pada kecepatan 1 m/s, dan konsumsi bahan bakar yang tertinggi pada pemakaian gas lpg pada temperatur 70oC dan kecepatan udara 3 m/s dengan pemakaian bahan bakar 1 kg.
Pengaruh penambahan saluran udara primer dengan variasi Jenis Bahan Bakar Terhadap Efisiensi Termal pada kompor biomassa
Authors: Habiby Muhammad Asri , Anggara Mietra , Aldrin Aldrin
Published: February 2024

Di Indonesia, penggunaan biomassa sebagai bahan bakar alternatif menawarkan potensi yang menjanjikan jika dibandingkan dengan gas LPG , Teknologi kompor biomassa memiliki potensi yang signifikan dalam memanfaatkan energi terbarukan dengan lebih efisien. Tujuan penelitian ini adalah untuk mengetahui pengaruh penambahan saluran udara primer dan variasi bahan bakar terhadap efisiensi termal kompor serta mengetahui jenis bahan bakar terhadap daya input. Metode analisis yang digunakan adalah analisis Eksperimen Water Boiling Test (WBT). Berdasarkan hasil penelitian Pengujian nilai daya input pada kompor biomassa tanpa tabung dan dengan tambahan tabung udara primer menghasilkan nilai input 40,1 kw dan nilai terendah dihasilkan dari variasi kompor dengan tambahan tabung dengan bahan bakar briket tempurung kelapa dengan nilai sebesar 2,71 kw. Dengan Pengujian nilai daya output pada kompor biomassa tanpa tabung dan dengan tambahan tabung udara primer menghasilkan nilai output paling baik yaitu 1,53 kw dan nilai terendah dihasilkan dari variasi kompor tanpa tabung dengan bahan bakar tempurung kelapa dengan nilai sebesar 0,10 kw. Dan Pengujian efisiensi termal pada kompor biomassa , dengan tambahan tabung udara primer menghasilkan nilai efisiensi termal yang terbaik sebesar 4,96 % dan efisiensi termal paling rendah di dapat dari variasi kompor tanpa tambahan tabung udara primer dengan bahan bakar tempurung kelapa yaitu sebesar 3,36 %.
FUTURE CONDITIONS FOR THE DEVELOPMENT OF THE RUSSIAN ECONOMY
Authors:   State University of Vladivostok, Vladivostok, Russia, Hang Xu
Published: February 2024

This work is devoted to forecasting the conditions and factors of the external and internal order that affect the economic development of Russia. The article describes the key points of the dynamics of the international economic space, which affect the content and pace of development of the Russian economy. The publication identifies the most significant problematic issues that are associated with a number of negative factors (sanctions, restrictions) of a political, economic and social nature in the international arena. The paper identifies causal relationships between the impact of these factors and the dynamics of the development of various sectors of the economy. The purpose of the work – to study the future conditions of the development of the Russian economy. The object of the study is the specifics of the economic development of the Russian Federation, the subject is special economic conditions. In the context of this categorical apparatus, the paper defines the features of trade and economic relations of the Russian Federation in the international field and the strategy of economic development in line with the domestic economy. The author differentiates favorable and unfavorable factors affecting economic processes in the Russian Federation and, as the main conclusions, offers recommendations for increasing the pace and volume of development in various sectors of the economy.
INNOVATIONS IN THE SME SECTOR: STIMULATING ENTREPRENEURSHIP AND ECONOMIC DEVELOPMENT
Authors:   Kazan National Research Technical University named after A. N. Tupolev, Kazan, Russian Federation, Mukhametshina Farida A. , Potapov Andrey A. ,   Kazan State Energy University, Kazan, Russian Federation
Published: February 2024

In this article, innovative activity is considered, taking into account its impact on the way of life of an individual. Based on this, the definition of innovation activity is formulated. The model and stages of innovation activity are given. Measures to support small and medium-sized innovative enterprises in Russia are analyzed and barriers to the expansion of innovative activities by small and medium-sized enterprises are identified.