bluuebunny/crossref_metadata_2025 huggingface dataset:
Semi Supervised NCC: Introducing Prior Knowledge To Normalized Cut Clustering
Authors: Aalaila Yahya , Bamansour Sami , Elhamdi Mouad , Peluffo-Ordóñez Diego
Published: October 2023

Clustering plays a pivotal role in exploratory data analysis, especially in scenarios where prior knowledge about a subset of samples is available, prompting a rapid development of Semi-supervised clustering approaches. In this work, we introduce a novel method for seamlessly integrating prior knowledge into the widely recognized Normalized Cut Clustering (NCC) algorithm, thereby offering a natural extension within the realm of semi-supervised clustering. Similarly to NCC, the solution of the proposed method is spectral-based in the form of an inhomogeneous eigenvalue problem. Also, we show that the proposed method can be seen as a generalization of NCC, enhancing its applicability in scenarios where prior information is available. In addition, we design an adequate and comprehensive experimental setup. This setup not only tests the competitiveness of our approach but also showcases its superiority in terms of performance metrics.
Improving biomarker selection for cancer subtype classification through multi-objective optimization
Authors: Cattelani Luca , Ghosh Arindam , Rintala Teemu , Fortino Vittorio
Published: October 2023

The current ML-driven approaches for omics-driven biomarker discovery
often result in panels that are not reproducible in external validation
datasets, and their optimization in terms of feature set size remains
unsolved, which jeopardizes their translation into cost-effective
clinical tools. The present study investigates how to optimize the
feature set size by testing six algorithms on eight large-scale
transcriptomics datasets for breast, lung, renal, and ovarian cancer.
Most importantly, we propose a new evaluation metric called Cross
Hypervolume (CHV) to assess the performance of multi-objective feature
selection algorithms on both training and test datasets. CHV is an
improvement over other metrics as it considers the trade-off between
classification accuracy and the size of the selected features. The CHV
metric allows for better assessment of biomarker models and helps to
select the most accurate and biologically relevant ones.Â
Sim-to-Real Transfer For Estimation Over Wireless Networks
Authors: Agarwal Shivangi , Asija Adi , Kaul Sanjit , Anand Saket
Published: October 2023

We investigate a simulation to real-world transfer of data-driven models for state estimation using measurements received over a wireless network. Real-world networks, such as vehicular communication systems, face issues like channel impairments and network congestion, and hence estimates are computed using a history of measurements that are received intermittently and are aged on reception. Training an estimator model directly with real-world data is expensive and impractical due to diverse network conditions. To address this, we present an approach that doesn’t rely on real-world network data. We train a model using only data generated by a low-cost low-fidelity simulation of networks. To bridge the gap between simulation and reality, we employ domain randomization, appropriately randomizing simulation parameters during training. An in depth investigation of network simulation is provided that has a FCFS queue with two parameters, the rate of arrival of packets into the queue and packet service rates. The model is validated by two real network deployments. In one, we process vehicular trajectory from up to 70 nodes over WiFi to estimate vehicle positions and speeds. In the other, GPS coordinates are communicated by public transit buses over city-wide cellular networks to a transport authority database. This information is obtained by a server running in the AWS cloud, by polling at a certain fixed rate. The model uses the polled data to generate estimates of bus positions. Our proposed estimator model is a novel deep neural network (DNN) architecture, which outperforms existing approaches to data-driven estimation.
The Future of Medicine: Large Language Models Redefining Healthcare Dynamics
Authors: Haque Ahshanul , Chowdhury Md Naseef-Ur-Rahman
Published: October 2023

The medical care industry is on the cusp of an extraordinary period, with large language models (LLMs) arising as incredible assets for reclassifying medical care elements. This paper investigates the potential and effect of LLMs in different parts of medication, including diagnostics, patient consideration, drug revelation, and medical services organization. It dives into the open doors and difficulties introduced by LLMs, accentuating the moral contemplations and the requirement for capable reception. By looking at late turns of events and contextual investigations, this paper offers a brief look into the developing scene of medical services, where LLMs are ready to assume a focal part in reshaping the eventual fate of medication.
Toy Matching in Amazon E-commerce by Matching Learning
Authors: Rupani Sidharth
Published: October 2023

This project is to detect categories from the toy product description and names. The data set is an Amazon (toy) data set with manufacturer specific model, names and description of children’s toys. The expected outcome includes labeling scheme and using CRF and bi-LSTM to measure the performance of our category extraction. As for the annotation, we performed the labeling and used product description decomposed into sequence of tokens labeled with BIO encoding, and the output of learning algorithm on a product description would be a sequence of labels. Three diffrent kinds of methods are used for our task. For the first method, We tried several traditional machine learning models like svm, logistic regression, and the linear svm for the second task. Linear svm gets the highest classification accuracy. Second model is CRF with hand-crafted features. And the last model is bi-directional LSTM. Note that there are too many categories in such a small dataset, which explains why even the best model results in relatively low accuracy.
Hierarchical Rule-Base Reduction Fuzzy Control for Path Tracking Variable Linear Speed Differential Steer Vehicles
Authors: Dekhterman Samuel , Norris William , Sreenivas Ramavarapu , Nottage Dustin , Soylemezoglu Ahmet
Published: October 2023

We present a Multiple Input Multiple Output fuzzy path tracking controller that reduced its rule-base using Hierarchical Rule Base Reduction. A stability proof and outdoor results are also presented.
Computer Vision and Deep Learning Based Determination Of Flow Regimes, Void Fraction And Resistance Sensor Data In Microchannel Flow Boiling
Authors: Schepperle Mark , Junaid Shayan , Woias Peter
Published: October 2023

The aim of this article is to introduce a novel approach to identifying flow regimes and void fractions in microchannel flow boiling, which is based on binary image segmentation using digital image processing and deep learning. The proposed image processing pipeline uses adaptive thresholding, blurring, gamma correction, contour detection and histogram comparison to separate vapour from liquid areas, while the deep learning method uses a customized version of a convolutional neural network (CNN) called Unet to extract meaningful features from video frames. Both approaches enabled automatic detection of flow boiling conditions, such as bubbly, slug, and annular flow, as well as automatic void fraction calculation. Especially the CNN has demonstrated its ability to deliver fast and dependable results, presenting an appealing substitute to manual feature extraction. The U-net-based CNN was able to segment flow boiling images with a Dice score of 99.1 % and classify the above flow regimes with an overall classification accuracy of 91 %. In addition, the neural network was able to predict resistance sensor readings from image data and assign them to a flow state with a mean squared error (MSE) < 10−6. This sensor signal prediction is a promising first step towards automated, imageless prediction of two-phase flow in microchannels using only the measurement data from resistance sensors. The approaches discussed in this paper were performed on an ordinary 6 GB NVIDIA laptop GPU using Python and are general enough to be applied to other similar applications. The deep learning model can be downloaded from: github.com/schepperlemark
Steady-state Modeling of Small Modular Reactors for Multi-timescale Power System Operations with Temporally Coupled Sub-models
Authors: Rahman Jubeyer , Zhang Jie
Published: October 2023

Small modular reactors (SMRs) offer a promising avenue for revolutionizing the traditional role of nuclear plants, transforming them from serving as baseload to flexible con- tributors in both power generation and ancillary services. This paper develops a steady-state model for SMRs, with a focus on incorporating constraints related to ‘xenon poisoning’. These constraints are essential to prevent issues during nuclear plant ramp-up following a ramp-down event. These ‘xenon poisoning’ constraints have been integrated into a multi-timescale power system operation framework, which also encompasses the formu- lation of inter-temporal coupling constraints. A comprehensive investigation is undertaken to evaluate the impact of integrating SMRs into a power grid with a high penetration of renewable en- ergy, specifically the NREL-118 bus system. A capacity expansion planning analysis is first conducted over multiple years to identify the optimal locations and sizes for deploying SMRs across the network. Additionally, we’ve developed various reserve rules that adapt to the ramping status of the SMRs and include different ‘hold-time’ for ‘xenon poisoning’ mitigation. Results obtained from a day-long simulation illustrate that the implementation of minimal ‘xenon poisoning’ hold-time, coupled with a steady- state guided reserve provision rule, yields the highest revenue – approximately 4.14% more than the base case. 
Enhancing Editability in Permissionless Blockchain: A Three-Chain Model for Efficiency and Ledger Consistency
Authors: Lei Lin , Li Jiao
Published: October 2023

Blockchain technology has gained significant attention due to its decentralized, tamper-resistant, and transparent nature. However, the inherent immutability of blockchain poses challenges for certain applications. This article presents a novel three-chain model based on the chameleon hash function to address the need for editability in blockchain systems. The model includes a dedicated pool chain that provides optimal conditions for editing operations, along with composite supervision and audit strategies to ensure compliance, security, and traceability. To maintain ledger consistency, a correction chain stores audited edited blocks, while the main chain is updated accordingly. The model’s feasibility is validated through experimentation, showing a minimal impact on the performance of the editable main chain. Contributions of this research include clear definitions of data ownership, editing permissions, and the completion flag for editing operations on the blockchain. Furthermore, it effectively resolves conflicts between decentralized editing and editing waiting, while ensuring the ledger consistency. The proposed three-chain model offers a secure and efficient solution to enhance blockchain editability, opening up new possibilities for its application in diverse domains.
Bridging the Gap: Blockchain’s Transformative Impact on SAP Systems in the Field
Authors: Bodemer Oliver
Published: October 2023

In the contemporary digital landscape, the integration of blockchain technology with SAP systems has emerged as a pivotal advancement for businesses across various sectors. This research delves into the transformative potential of blockchain when synergized with SAP, a leading enterprise resource planning (ERP) system. The inherent strengths of blockchain, such as unparalleled transparency, robust security, and decentralized control, offer a myriad of opportunities to enhance SAP modules, revolutionizing traditional business processes and driving both efficiency and innovation.  

Central to this study is the exploration of real-world applications, particularly through case studies of three companies, referred to as "Company A," "Company B," and "Company C." These placeholders have been intentionally used to maintain the confidentiality and anonymity of the companies involved, ensuring that proprietary strategies, sensitive data, and competitive advantages are not inadvertently disclosed. Such a measure is crucial in academic and industry research to uphold the integrity of the study while safeguarding the interests of the participating entities.  

"Company A" represents a firm in the electricity sector that has harnessed blockchain’s capabilities to enhance supply chain transparency and traceability. "Company B," from the insurance industry, has streamlined its financial operations, leveraging blockchain to reduce inefficiencies and bolster trust among stakeholders. Lastly, "Company C" from the automotive sector has transformed its asset management and tracking processes, utilizing blockchain to provide real-time, immutable records, significantly reducing discrepancies.  

However, the journey of integrating blockchain with SAP presents challenges, including technical complexities, organizational resistance, and scalability concerns. Yet, the case studies underscore the tangible benefits that can be reaped, offering valuable lessons for businesses contemplating a similar technological convergence.  

In an era where digital transformation is paramount, the fusion of blockchain and SAP emerges as a promising avenue for achieving operational excellence. This research provides an in-depth guide, highlighting the intricacies, potential pitfalls, and immense rewards of this integration, with a special emphasis on real-world implementations and their impact.  
Towards HVDC Interoperability - On Dominance of Nodal Impedance
Authors: Chen Dong , Marshall Benjamin
Published: October 2023

This paper proposes a sufficient condition to assess linearized Bounded-Input-Bounded-Output (BIBO) stability of Multi-Vendor-Multi-Terminal (MVMT) HVDC grid over broad frequencies. Without madatory utilization of Nyquist Criteria or passivity of impedance, this paper provides a guidance on how the stability of an HVDC grid can be predicted based on measurements during the tests on disconnected components without access to internal design of HVDC converters. Assisted by realizing positive realness of an auxiliary transfer matrix, defined as current gain matrix, in frequency domain, a set of sufficient criteria are formulated. They include one global criterion, i.e. positive realness of every current (voltage) gain and two decentralized criteria, i.e. BIBO stability of every nodal impedance (and admittance), and BIBO stability of every transfer admittance (and impedance). The sufficiency of the stability criteria is derived via nodal analysis in s-domain. The paper also presents the schemes of testing stability of nodal admittance/impedance in time-domain to cover converters controlled as constant power loads. The overall methodologies are further generalized to bipolar HVDC grids including unbalanced conditions and transfer network with low-impedance branches. The achievability of positive real voltage/current gains is compared with passive nodal admittance in case studies assisted by time-domain simulations using Matlab/simulink.
Outlier Detection and Spectrum Feature Extraction Based on Nearest-Neighbors Correlation and Random Forest Algorithm
Authors: Martinez Alonso Rodney , Plets David , pollin Sofie , Martens Luc , Joseph Wout
Published: October 2023

Most spectrum surveys conducted worldwide demonstrate that the radio-electric spectrum in use at any given location and instant of time is below 25%. Current spectrum management policies and spectrum utilization inefficiency are becoming unsustainable for the future development of radio technologies and services. In this context, dynamic spectrum access is a promising technique for improving spectrum utilization efficiency. A key scientific gap is identifying inaccurate spectrum data from hidden nodes that are not homogeneously distributed in the spatial domain and dynamically vary in time and frequency. For bridging this gap, our paper presents the research results of a spectrum feature extraction algorithm based on multi-correlation and Random Forest. Our algorithm is capable of estimating the spectrum utilization pattern in the spatial and frequency domain with a reliability up to 92% for a real heterogeneous networking scenario.
Virtual synchronous machine control for doubly-fed induction machine based wind energy conversion systems [long version]
Authors: Thommessen Andre , Hackl Christoph
Published: October 2023

Facing the climate crisis, more and more renewable inverter-based resources (IBRs), such as wind energy conversion systems (WSs), replace grid-connected synchronous machines (SMs). SMs inherently provide balanced and sinusoidal grid voltages but also power system inertia, whereas standard grid-following (GFL) control of IBRs leads to decreasing power system inertia. This paper proposes grid-forming (GFM) control for doubly-fed induction machine (DFIM) based wind energy conversion systems (WSs) based on the virtual synchronous machine (VSM) concept with the following extensions: (i) Maximum power power tracking (MPPT) compensation for accurate inertia emulation, (ii) feedforward torque control (FTC) for fast power reference tracking, (iii) de-rated operation or reference power point tracking (RPPT) to provide additional power reserves, (iv) dynamic droop power saturation control to avoid excessive power overshoots (as available power reserves are taken into account), and (v) grid voltage control utilizing reactive power from both, DFIM stator and rotor-side back-to-back inverter. The modeling and control of the DFIM-based WSs is shown in detail and the grid model is based on the IEEE 9-bus test system. Comprehensive simulation results show that the GFM control enables unlimited power penetration of IBRs and that the grid frequency dynamics of VSM-based power systems can be interpreted and handled analogously to SM-based power systems. During normal operation, compared to existing VSM control without FTC, the proposed VSM control with FTC increases the wind energy yield, i. e. typical MPPT or RPPT performance is achieved, similar to the performance of GFL control. For high power penetration of IBRs, the proposed VSM control enables stable operation due to its inertia emulation or GFM capability, whereas GFL control tends to instability. During faults and system splits, the VSM provides higher power system damping than a real SM due to (i) virtual/internal damping that can be adapted by software (hence almost independently from the hardware, whereas the response of SM damper windings depends on the physical machine design and cannot be altered during operation), and due to (ii) faster droop control which adapts the virtual turbine power without the mechanical delays that dominate real turbine dynamics.
IMPACT OF LEISURE ACTIVITIES ON WELL-BEING IN COVID-19 PANDEMIC SITUATION, A CROSS-SECTIONAL SURVEY
Authors: Syed Shahzaib Hassan , Mir Maheen
Published: October 2023

Aims Of Study: During COVID-19 people were forced to stay home and this increased the risk of limiting their PA and adaptation of sedentary behaviour hence our objective is to measure the impact of leisure activities on well-being during COVID-19.

Methodology: 366 participants were selected, using Non-probability convenient sampling from UOL and PGC. PA and well-being were assessed using IPAQ-short form and WHO-5 well-being questionnaire.

Results: IPAQ-short form with well-being Pearson Chi square was 638.012, Spearman correlation was 0.956 and p-value Asymptotic significance (2 sided) was .000 which means there is positive strong correlation between variables.

Limitations and Future Implication: Adults having ages 18-40yrs volunteered due to short time period and since our study limited to only 2 settings so to generalize our outcomes for mass population was not feasible. During lockdown gaining past medical history in data collection was impacted, it is suggested to include the role of Physiotherapist in improving health status by PA, create awareness among common population about role of PA and their relation with well-being also including diversity in age groups, ethnicity and localities is suggested.

Originality: Strong positive correlation between PA and well-being.

Conclusion: This study shows that during Covid-19 pandemic, those individuals who remained physically active had good impact on their health. Being physically active not only improves an individual’s physical fitness level but also helps to cope with psychological problems degrading one’s mental health so our study found out direct relation between physical activity levels and health status.
GAMBARAN PENGGUNAAN COMPLEMENTARY ALTERNATIVE MEDICINE (CAM) PADA PASIEN HIPERTENSI DI WILAYAH KERJA PUSKESMAS BLAHBATUH II
Authors: Suyeni Ni Nyoman Ayu Devi , I Gusti Ayu Agung Septiari  , Ni Made Maharianingsih
Published: October 2023

Hypertension is an increase in a person's systolic blood pressure ≥ 140 mmHg and diastolic ≥ 90 mmHg. The importance of hypertension sufferers to control blood pressure to prevent cardiovascular risk, one of which is the non-pharmacological alternative of Complementary Alternative Medicine (CAM). This study aims to describe the use of CAM in hypertensive patients in the working area of ​​the Blahbatuh II Health Center. This research method is a non-experimental quantitative descriptive study with a cross-sectional method. The results of this study found that the most use of CAM for the treatment of hypertension in the working area of ​​the Blahbatuh II Health Center were women (59.6%), aged 56-65 years (51.4%), high school education (42.2%), most of them not working/household (33.9%), income ≤ Rp. 2,627,000 (39.4%), suffer from hypertension for 1-5 years (76.1%), have no family history of hypertension (56.9%), hypertension medication, namely amlodipine (52.3%), drinking schedule every day (45.9%). Respondents used CAM since diagnosis (66.1%), CAM was combined with conventional drugs (62.5%) and was recommended by the family (45.8%), the reason that using CAM was very trusting CAM (47.2%), and the reasons for not using CAM were the reasons doctors did not recommend (54.1%), felt a positive effect (94.4%) and were satisfied (94.4%) using CAM. The most common types of CAM were biological therapy in the form of herbs (56.9%), the frequency of using CAM once a day (45.8%), the types of plants used were celery and starfruit (19.5%), plant parts namely leaves (41.5%), the method of processing is boiled first (61%), with a dose of one glass (48.8%) and the use of herbal medicine is taken orally (80.5%). The conclusion of this study was that the sociodemographic characteristics of the use of CAM were mostly aged 56-65 years (51.4%), female sex (59.6%), last education SMK/SMA (42.2%), and the use of CAM was mostly used since suffering from hypertension as many (66.1%) of respondents with the most types of CAM namely biological therapy in the form of herbs (56.9%).
МОРФЕМЫ, КОНСТИТУИРУЮЩИЕ МАСДАР АВАРСКОГО ЯЗЫКА
Authors: Маллаева З.М.
Published: October 2023

В статье исследуются вопросы морфемной организации одной из неоднозначно трактуемых форм глагола аварского языка – масдара. Сложность предпринятого исследования обусловлена отсутствием в дагестановедении более или менее полно эксплицированных понятий и терминов для исследования морфемной организации глагола аварского языка и неоднозначной трактовкой структурных единиц, образующих финитные и инфинитные формы глагола. Предпринята попытка решить эти сложные и спорные вопросы морфемной структуры глагола и выделить морфемы, конституирующие форму масдара. Обосновывается правомерность отнесения масдара (имени действия) к глагольной парадигме. Дается краткая характеристика грамматических категорий числа и класса, которые находят различную реализацию в разных частях речи. Демонстрируется общность масдара и других глагольных форм в реализации данных категорий, отмечается отличие масдара от имени существительного в падежном словоизменении. В статье представлен морфемный анализ масдара, дается функциональная характеристика корневых и аффиксальных морфем масдара, допускается возможность перехода тематической гласной, оформляющей основу масдара (в процессе исторического развития), в категориальный формант. Проводится разграничение функций категориальных формантов и тематических гласных. Выделяются следующие форманта масдара: -и, -й, -н. Выявляется зависимость выбора перечисленных категориальных формантов масдара от типа спряжения и основы инфинитива.
ANÁLISE MULTICRITÉRIO APLICADA PARA A ORDENAÇÃO DA MELHOR ESPÉCIE DE PEIXE A SER UTILIZADA NO SISTEMA DE TANQUE ESCAVADO NO ESTADO DO TOCANTINS
Authors: Brynner da Silva Alves Elves , Mariano Alves Juliana
Published: October 2023

Desde tempos remotos, os seres humanos têm buscado meios de garantir sua subsistência por meio da obtençãode alimentos. Atualmente, essa dinâmica está passando por uma transformação devido à exaustão das fontesnaturais de recursos. Portanto, torna-se imperativo encontrar métodos de produção que não apenas minimizemo impacto no meio ambiente, mas também proporcionem retornos financeiros significativos. Nesse novoparadigma, a gestão da sustentabilidade na piscicultura passa a envolver análises de decisão essenciais. Esteestudo apresenta uma proposta de ordenação das espécies mais adequadas para a piscicultura em tanquesescavados no estado do Tocantins. É crucial compreender que tomar a decisão correta nessa escolha tem umimpacto direto no êxito da piscicultura. Nesse contexto, destaca-se que a aplicação de Métodos Multicritériode Apoio à Decisão (MCDA) é de grande utilidade na criação de quadros de representação e análise mentalque são extremamente relevantes para o processo decisório. Assim, a metodologia "Measuring Attractivenessby a Category Based Evaluation Technique" (MACBETH) foi empregada para orientar o processo deordenação das diferentes espécies de peixes destinadas à produção em tanques escavados. Com base naliteratura disponível e consultas a especialistas, foram identificadas três alternativas para a ordenação dasespécies: o tambaqui (Colossoma macropomum), o grupo de híbridos redondos tambacu (Piaractusmesopotamicus x Colossoma macropomum) e tambatinga (Colossoma macropomum x Piaractusbrachypomus) e a tilápia-do-nilo (Oreochromis niloticus). Essas alternativas foram submetidas a ponderaçõese avaliadas com base em critérios previamente definidos na metodologia da pesquisa. Com base naspontuações obtidas para cada alternativa avaliada, conclui-se que a espécie tambaqui (Colossomamacropomum) é a mais recomendada para atender às necessidades do sistema de tanques escavados no estadodo Tocantins.
Brawa, owacje, kwiaty, czyli steinerowska restytucja w teatrze
Authors: Wiśniewski Tomasz
Published: October 2023

W artykule uwzględniono reakcje publiczności z uwzględneniem procesu hermeneutycznego związanego z semiozą teatralną. Materiał badawczy obejmuje cztery spektakle, tj. „1989” (reż. Katarzyna Szyngiera – Gdański Teatr Szekspirowski i Teatr im. Juliusza Słowackiego w Krakowie), „Once Before I Go” (reż. Selina Cartmell – The Gate Theatre w Dublinie), „Tosca " (reż. Ognian Draganoff - Opera Narodowa w Jassach) oraz "Prowadź swój pług przez kości umarłych" (reż. Simon McBurney - Complicité). Artykuł ma charakter komparatywny i omawia spektrum możliwych funkcji przypisywanych reakcjom odbiorców.
Lśnienie. Przeglądając się w "Kryjówkach. Architekturze przetrwania" Natalii Romik
Authors: Drabarczyk vel Grabarczyk Paweł
Published: October 2023

Dziewięć odlewów o nieregularnych kształtach, pokrytych srebrem. Dziewięć trójwymiarowych map, które odwzorowują terytoria przetrwania – kryjówki tworzone i zamieszkiwane przez Żydów w latach Zagłady, m.in. w pniu dębu, pod podłogą, w kanalizacji, w grobie. „Rzeźby są hołdem dla architektek i inżynierów, którzy je budowali” – mówiła Natalia Romik o metalicznych obiektach pokazanych w Zachęcie, towarzyszących wystawie prezentującej rezultaty interdyscyplinarnych badań nad holokaustową „architekturą przetrwania”. Jej źródłowa awizualność (kryjówka chroni przed prześladowczym spojrzeniem, „złym okiem”) znalazła na wystawie kontrowersyjny rewers, ostentacyjne, idolatryczne lśnienie powierzchni owych anty-antypomników upamiętniających ukrywających się i ukrywających. Srebro „wygląda jak rtęć, jak lustro. Odbija, ale daje też zniekształcenie” (Romik). Być może na podobieństwo tego, jak zdeformowana bywa nasza wdzięczność, bardziej zainteresowana obrazem własnym niż tym, co ukryte za połyskliwą powierzchnią. Co zatem chowają przed nami, a co odsłaniają Kryjówki?
Niewdzięczność. Niepamięć. Nieczułość. Przypadek kaszubskich herstorii
Authors: Bednarek-Bohdziewicz Agnieszka
Published: October 2023

Celem artykułu jest uchwycenie zmiany wrażliwości w dostrzeganiu i mówieniu o niektórych, zwłaszcza trudnych (często zignorowanych i wypartych) kaszubskich wątkach herstorycznych. W tekście przytaczam wybrane, najbardziej dyskutowane i rezonujące społecznie przykłady rehabilitacji, reinterpretacji, odpominania i upominania się o obecność kaszubskich kobiet na kartach wielkiej historii. Współczesne pokolenia szukają odpowiedniego języka, by wydobyć z niepamięci przemilczane i uciszone losy Kaszubek (jako przykład podaję m.in. działania rehabilitujące ostatnią słupszczankę spaloną na stosie oraz uwalniające od wtórnej wiktymizacji i stereotypowego pojęcia heroizmu opowiadanie o dramatycznych przeżyciach związanych z gwałtem wojennym dokonywanym przez żołnierzy Armii Czerwonej wiosną 1945 roku na Kaszubach). Współczesną empatyczną pamięć i wywoływanie pojedynczych kobiecych biografii czytam jako zadośćuczynną wdzięczność wobec przodkiń.
Chwała i dziękczynienie - o myśleniu jako wdzięczności
Authors: Bohdziewicz Janusz
Published: October 2023

Celem artykułu jest zarysowanie możliwości myślenia jako wdzięczności – a zadanie to sytuuje w kontekście aktualnej rewolucji związanej z upowszechnieniem sztucznej inteligencji (chatGPT). Esej wyprowadza tę kwestię z pism Martina Heideggera, który może pierwszy skojarzył myśl z podzięką – a następnie rozwija ją w kontekście prac filozofa Jeana-Luca Nancy’ego, pedagoga Jana Masscheleina oraz antropologa Tima Ingolda. Tezą jest przekonanie, że myślenie wdzięczne jest w opozycji do myśli metafizycznej, tradycyjnie rozumianej wiedzy i nauki – wynika z uważnego, nie-intencjonalnego otwarcia na dany świat. Nie zatroskane poznanie i pewność są odtąd celami myślenia, ale jego źródłem jest przyjmowanie nieobliczalnych zdarzeń w ich chwale oraz dziękczynienie im poprzez adorację. Myślenie jako wdzięczność jest afirmacją niezbywalnej istoty człowieczeństwa, a jego kształtowanie nadzieją na zdolność życia w obliczu niepewności czasów.
Dar Curarrehue
Authors: Barbaruk Magdalena
Published: October 2023

„Jedyną możliwą więzią z Ameryką, właściwą formą amerykańskiej miłości, jest wdzięczność” mówił Godofredo Iommi w wykładzie Eneida-Amereida (1981) w którym słowo la gratitud pojawia się kilkanaście razy, wydaje się kategorią kluczową. W poemacie Amereida (1967) wdzięczność jest warunkiem wolności. Uczynienie z wdzięczności filozoficznego fundamentu dekolonizacji Ameryki zdumiewa, prowokuje, jest trudne do zrozumienia. Tekst nie jest jednak poświęcony wyłącznie interpretacji kanonicznych tekstów Szkoły z Valparaíso. Autorkę interesowało bowiem to, jak wdzięczność objawia się w praktykach poetyckiego zamieszkiwania Ameryki tj. w realizowanych od 1984 roku wyprawach w głąb kontynentu tzw. travesía.  Artykuł powstał na podstawie obserwacji sporządzonych na przełomie listopada i grudnia podczas travesía w Curarrehue (Araukania, Chile) oraz doświadczeń z travesía w Cochrane (Patagonia, Chile, 2013) amerykańskiej doktorantki Doris M. Reiny Bravo. Autorka zauważa, że w obu przypadkach uzyskanie statusu obserwatora travesía łączyło się ze szczególnym poczuciem wdzięczności i lęku, co związane jest z fenomenem daru ale też transakcji. Barbaruk podjęła się próby opisu związanego z obserwacją travesía (badań terenowych) afektu: tego z którym jechała do Curarrehue i z którym wróciła. Nadrzędną ramą jej relacji z travesía stało się pytanie o wdzięczność jako narzędzie badawcze, o jej wpływ na sytuację badawczą i język naukowy. Autorka sugeruje, że wdzięczność może być traktowana jako cnota epistemiczna.
„Od skrzywdzenia do wdzięczności”
Authors: Zimniak-Hałajko Marta
Published: October 2023

W artykule podejmuję temat relacji ruchów szeroko rozumianego nurtu „pro-life” i kultury terapeutycznej. W pierwszej części tekstu przyglądam się praktykom komunikacyjnym organizacji „pro-life” i „pro-choice”, z jakimi kontaktują się kobiety w nieplanowanej ciąży. Następnie omawiam koncepcje „traumy” i „stygmy”, które stanowią zaplecze teoretyczne podejmowanych przez działaczy i działaczki obu opcji światopoglądowych interwencji o charakterze konsolacyjnym i wzmacniającym. W kolejnej części tekstu prezentuję trzy inicjatywy nurtu „pro-life”, kierujące swą ofertę do osób z doświadczeniem aborcji: rekolekcje, program „Powrót i odnowa” oraz terapię NEST. Szczególną uwagę zwracam na potencjał redefinicji pojęć i sytuacji społecznych, jaki mogą mieć te inicjatywy. W podsumowaniu analizuję społeczne funkcje narracji o stracie oraz świadectwa, a także sposób, w jaki pojęcie wdzięczności pomaga rozszerzyć zakres terminu „pro-life”.
Groza i wyobraźnia w teatrze
Authors: Wiśniewski Tomasz
Published: October 2023

W artykule podjęty jest temat powiązania grozy i wyobraźni w wybranych współczesnych przedstawieniach teatralnych. Mając na uwadze szeroki potencjał omawianego zjawiska, autor skupia się na detalu scenicznym i werbalnym, odnosząc się przy tym do twórczości Mariny Carr, teatrów Complicité oraz Ex Machina, a także niespodziewanie aktualnej – również w kontekście  wojny w Ukrainie – brazylijskiej inscenizacji Czekając na Godota w Teatrze Oficina Uzyna Uzona z São Paolo w reżyserii Zé Celso.
Thanksgiving
Authors: Fereński Piotr
Published: October 2023

Święto Dziękczynienia jako święto narodowe obchodzone jest w Stanach Zjednoczonych od roku 1789. Początki związane są z dziękowaniem Bogu za błogosławieństwa jakie osadnicy otrzymali w Nowym Świecie, najpierw za obfite żniwa, a następnie także za zwycięstwa w bitwach. Święto nadal służy podkreśleniu znaczenia wspólnoty, dla której miniony rok był pomyślny. Obchody mają charakter zarówno religijny, jak i świecki. Pozostaje jednak pytanie dla kogo ziemia ta była „nową”, dla kogo „żyzną” oraz kto mógł się cieszyć pomyślnością i wygranymi w konfliktach zbrojnych. Święto Dziękczynienia stanowi radość i manifestację jedności narodowej, może być też jednak postrzegane jako symbol skrywania przemocy, nierówności i wyzysku, na których zostały ufundowane USA. Autor analizuje Thanksgiving Day w kontekście pamięci zbiorowej rozwijając koncepcje teoretyczne Paula Connertona i Paula Ricœura.
Teatr wobec wojny
Authors: Kręglewska Katarzyna
Published: October 2023

Tekst został poświęcony formom obecności w Polsce ukraińskich twórców teatralnych i ukraińskiej kultury po 24 lutego 2022 roku. Poddano analizie sposoby, na jakie przedstawiciele środowisk teatralnych zareagowali na sytuację katastrofy oraz zmiany, które zaszły w obszarze ukraińskiego i polskiego życia teatralnego, a także ich związek z wydarzeniami w przestrzeni społecznej.

Obszar działań scenicznych został potraktowany jako swoista strefa kontaktu, czyli przestrzeń do opartego na wzajemności spotkania z Innym, które postrzegane jest w odniesieniu do zagadnień mobilności kulturowej. Ogląd wybranych wydarzeń scenicznych (które miały miejsce przede wszystkim w Trójmieście), stanowi punkt wyjścia do namysłu nad rolą praktykowania wdzięczności w konstytuowaniu wspólnoty.
Mechanism for ensuring the economic security of enterprises during the implementation of investment projects
Authors: Shaposhnyk Bohdan , Khudiakov Denys
Published: October 2023

The purpose of the article is to develop a mechanism for ensuring the economic security of enterprises during the implementation of investment projects. Maintaining the economic stability of the enterprise includes determining the appropriate level of security in all spheres of its life activity, and the implementation of investment projects is able not only to accumulate, attract, and effectively use investment resources but also to guarantee the appropriate level of competitiveness. The relevance of the investigated problem is determined by the critical problem of the economic security of enterprises in the context of the implementation of investment projects. Scientific approaches to the interpretation of the essence of economic security of the enterprise are considered, and its main features are determined based on the analysis. It was determined that the economic security of the enterprise is a state in which the enterprise can ensure the stability of its activities in conditions of risk and uncertainty. It has been established that the economic security of a business entity is a complex system that includes a particular set of internal characteristics aimed at ensuring the efficiency of the use of corporate resources in each area of activity. The goals, components, principles, and mechanisms of managing the economic security of the enterprise have been studied. Essential aspects of the mechanism for ensuring the economic security of enterprises are analyzed the selection of optimal investment projects, risk assessment, and monitoring of their implementation. The issue of choosing funding sources and optimizing the investment portfolio to ensure the efficiency and safety of the investment process was considered. The role of risk management financial and strategic planning in ensuring effective investment activity of enterprises is determined. A mechanism for ensuring economic security during the implementation of investment projects is proposed, which includes effective monitoring of financial indicators, improvement of project selection decisions, innovative methods of financing, and strengthening control over risks and their management. New approaches in the development of the mechanism allow enterprises to increase the efficiency of investment projects and ensure the stability of financial and economic activity.
Keywords: economic security, enterprise, investment project, economic entities, system of economic security, mechanism, structure of the system of economic security.
Social contact with COVID-19 as a factor influencing corona anxiety in India
Authors: Das Debaraj , Pal Suchitra , Hughes Brian M.
Published: October 2023

Coronavirus disease 2019 (COVID-19) pandemic is probably the worst in history, in terms of its impact on mental health. In this context, a number of possible moderators of mental health have been studied, but research on whether direct social contact with COVID-19 influences what has been referred to as “corona anxiety” is largely absent, especially in developing countries. This study attempted to examine the impact of demographics, risk perception, and social contact with COVID-19 on the levels of corona anxiety in India, based on a sample of 776 participants from both the general public (n = 550) and hospital nursing staff (n = 226), comprising 373 male (48.1%) and 403 female (51.9%) participants. Overall, nurses were found to exhibit higher level of corona anxiety than the general public. High-risk perception (β = 0.268, p < 0.001) was found to be positively associated with corona anxiety. Female participants (β = 0.31, p < 0.001) were found to exhibit higher level of corona anxiety compared to their male counterparts. Regression analyses indicated that social contact with COVID-19 significantly aggravated corona anxiety across the study sample. Older people showed higher level of corona anxiety compared to younger people. For men, the impact of social contact with COVID-19 on corona anxiety was mostly prevalent among the individuals in the oldest age group (41 years or older), whereas for women, the escalating impact of social contact with COVID-19 on corona anxiety was discernible throughout all age groups.
Targeted drug delivery approaches for the management of tumors
Authors: Misra Shashi Kiran , Pathak Kamla
Published: October 2023

The treatment of tumors requires specific and selective drug delivery approaches capable of efficiently eliminating the root cause of oncogenesis. In this context, targeted drug delivery strategies are the preferred choice due to their exceptional recognition of tumor cell biology and their high transfection efficacy within the tumor microenvironment. The emergence of nanoscale techniques has marked significant milestones in the successful management of various types of tumors. The development of targeted delivery approaches for tumor therapeutics has gained momentum over the past few decades. However, in contrast to the plethora of successful pre-clinical studies, only a limited number of passively targeted nanocarriers have been approved for clinical use, and none of the actively targeted nanocarriers have advanced beyond clinical trials. This review delves into the major molecular principles associated with tumorigenesis, including active targeting, passive targeting, and cell-mediated targeting. It also explores the biological barriers (systemic, biological, and cellular) encountered in tumor drug delivery. Moreover, the review examines various tumor-targeted drug delivery systems that have been developed over the past decade. These systems encompass polymeric nanoparticles (micelles, nanoparticles, dendrimers, and polyplexes), lipid-based carriers (solid lipid nanoparticles, nanostructured lipid carriers, nanoemulsion), vesicular systems (liposomes, niosomes, aquasomes, and phytosomes), and inorganic nanocarriers (iron oxide nanoparticles, quantum dots, carbon-based nanoparticles, and mesoporous silica nanoparticles), all designed for the alleviation of tumors.
NANO/MİKRO ÖLÇÜLÜ HİSSƏCİKLƏRDƏN HAZIRLANMIŞ ƏYLƏC KÜNDƏSİ MATERİALLARININ
TRİBOLOJİ TƏDQİQİ
Authors: Fikrət Yusubov Fikrət Yusubov
Published: October 2023

Qazma avadanlıqlarında əyləc sistemi qazma prosesinin səmərəlilik və etibarlığını müəyyənləşdirən əsas texniki qurğulardan biridir. Əyləc mexanizmlərinin tribotexniki xassəsi müxtəlif işçi temperaturlarda kontakt materiallarının səth quruluşu və əyləc kündələrinin xassələri ilə müəyyən olunur. Son zamanlar friksion materiallara qoyulan tələblər daha da artırmış, tribotexniki sistemlərin təhlükəsizlik və etibarlığının təmin edilməsi problemi aktual xarakter almışdır. Apardığımız tədqiqatda qazma avadanlığının əyləc sistemi üçün nəzərdə tutulmuş yeni ekoloji təmiz əyləc kündəsi materiallarının hazırlanmasına və tədqiqinə yer verilmişdir. Təcrübələrdə hissəciklərin təsir effektləri müxtəlif cür öyrənilir. Bu araşdırmalar əsasən iki cür aparılır: tərkibə daxil olan komponentlərin ya hər hansı birinin ölçüsünü dəyişməklə, ya da bütün komponentlərin ölçüsünü dəyişməklə. Baxılan işdə tərkibə daxil olan materiallarının hər birinin ölçüsü eyni götürmək şərti ilə müqayisə edilmişdir. Hissəciklərin ölçüsündən asılı olaraq materialların termo-mexaniki xassələrində baş verən dəyişikləri müqayisə etmək üçün ölçüləri 100μm və ≤50μm hissəciklərdən hazırlanmış kompozisiya materialları müqayisə edilmişdir. Təqdim olunan araşdırma ənənəvi ovuntu metallurgiya metodları ilə hazırlanmış friksion kompozisiya materiallarının fiziki-mexaniki xassələrinin tədqiqinə həsr edilmişdir. Təcrübələrdə ölçüləri 100 μm və ≤ 50 μm olan hissəciklərdən hazırlanmış friksion kompozisiya nümunələrin sürtünmə-yeyilmə xassələri ilə yanaşı fiziki xassələri də müqayisəli tədqiq edilmişdir. Sürtünmə sınaqları 100 və 500 N təmas təzyiqi rejimlərində MMW-1 vertikal sürtünmə maşınında “barmaqcıq-disk” mexanizmi ilə aparılmışdır. TGA Q50 termoqravimetrik analizatoru isə materialların 1000°C-dək olan intervalda termiki stabilliyini qiymətləndirmək üçün istifadə edilmişdir. Aparılmış sınaqlar kompozisiya materiallarının deqradasiya xüsusiyyətlərini, sürtünmə və yeyilmə xarakteristikasını öyrənməyə kömək etmişdir.
Açar sözlər: əyləc kündələri, kompozisiya materialları, sürtünmə və yeyilmə, plastifikatorlar deqradasiya, məsaməlik.
МЕТОД ОПРЕДЕЛЕНИЯ СОСТАВНЫХ СВОЙСТВ И ПОКАЗАТЕЛЕЙ НАДЕЖНОСТИ ПРИ ПРОЕКТИРОВАНИИ И ЭКСПЛУАТАЦИИ ФОНТАННЫХ АРМАТУР
Authors: Севинч Абасова, Гюлнара Фейзиева Севинч Абасова, Гюлнара Фейзиева
Published: October 2023

Предложен метод определения численных величин показателей надежности фонтанных арматур и их составных частей, в зависимости от технологических процессов, выполненных в различных нефтегазодобы¬вающих районах. Получены формулы, являющиеся универсальными, с помощью которых может быть определено минимальное количество циклов открытия-закрытия задвижек фонтанных арматур в течении года работы на скважине, до капитального ремонта, в течение срока службы. Введено понятие коэффициента безопасной наработки для возможности определения ресурса фонтанной арматуры и ее составных частей на различных стадиях создания и эксплуатации.
Ключевые слова: фонтанный арматур, задвижка, капитального ремонт, срок службы.
Prinsip Tolong-Menolong Dalam Islam (Ekplorasi Dalam Ayat Alqur’an, Sirah Nabiyah Dan Piagam Madinah)
Authors: Albahri Albahri , Pasiska Pasiska , Kurniati Anita
Published: October 2023

This concept underlines the help of help in Islam through the tracing contained in the verses of the Qur'an, the Prophet's Sirah and the Medina Charter Please help others is an unavoidable sunnatullah.Every human being is free to choose the desired livelihood and will have a share in his efforts. A person will not earn more than what he has done. Qualitative research method with a literature study research approach with data sources obtained through documents, literture, both in the form of articles, books and others relevant to research. The results concluded that each individual's physical and mental well-being is different, as is their ability to earn a living. Man was created by God on earth to fill and prosper life and this life in accordance with the order and law of God's law. Humans are qudrati as individual beings and social beings, that is, humans need each other, both in exchanging ideas, interacting, and completing needs in everyday life. In carrying out life and life, Islam in addition to proclaiming the right creed and worship as a means of liaison between servants and their creators also formulates good and correct procedures in muamalah as a liaison between humans and each other. Muamalah are God's must-obey rules that govern man's relationship with man in relation to acquiring and developing property, as well as defending the rights of society.