bluuebunny/crossref_metadata_2025 huggingface dataset:
Real Estate and Tax Credits: How Can the Tax Credits be used to Make Affordable Housing More Feasible?
Authors: Avdeev Valeriya , Nassiripour Sia , Wong Hannah
Published: September 2024

According to the recent Article: “Separated by Design: How Some of America’s Richest Town’s Fight Affordable Housing,” in southwest Connecticut, the gap between rich and poor is wider than anywhere else in the country.[1] According to the article, due to the denials of zoning variances by the local town boards, the share of housing specifically designated for the low-income residents has decreased since 1990. [1] J. R. Thomas, “Invisible Walls: Separated by Design: How Some of America’s Richest Towns Fight Affordable Housing,” Connecticut Mirror, May 22, 2019.
The Hospital Turnaround That Wasn't: A Leadership Perspective
Authors: Wilson Asa , Randolph Yvonne , Samis-Smith Phrosini
Published: September 2024

The concept/reality of an at-risk hospital is discussed in terms of its attributes and performance shortcomings. A hospital case example of a four-year turnaround intervention is presented. The case identifies a leadership style associated with a presumed turnaround initiative. The discussion’s goal is to link visible performance improvement outcomes with a contradictory leadership approach. This case underscores the difference between a difficult management strategy presenting itself as a dynamic, innovative leadership front.
Impact of Motivation Determinants on Innovative Social Project Management Performance:The Role of Power Skills
Authors: Abou-hafs Habiba , Afras Houriya , Rachid Tatouti
Published: September 2024

This research was carried out to study the impact of autonomy, feedback, and task interest and job emotion on the innovative social project management performance. Based on a quantitative study conducted with 80 managers of innovative social projects, the present study attempts to identify the impact of intrinsic motivation determinants witch are considered power skills on innovative social project management performance. Descriptive analysis, principal component analysis, regression analysis and structural equations were used to classify, categorize and measure the impact between variables. Results were analyzed using SPSS.25 and Smart PLS 3. The results concluded that the all-path coefficient showed positive values ​​of the three motivation determinants witch are components of power skills (autonomy, feedback and professional emotions) supported the impact directions as postulated in the hypotheses. Except Task interest did not have a significant direct impact on project performance (ß =0,091; P=0,164) and on job emotion (ß =0,151; P=0,092).
Market Extreme Moves and the Industries' Probability of Crash and Jump
Authors: Bouaddi Mohammed
Published: September 2024

We investigate the dependence of stock returns in the extreme. We use a flexible model for the probability of extreme moves. The results show that the dependence of industries' returns to the market returns is asymmetric and significant in the extreme. In addition, it shows that; the probability of an industry to crash is at least seven times higher than the probability to jump. The results also highlight that the probability of an industry the crash or jump is higher in non-recession periods than in recession periods due to surprise effect.
Rationale for Crime and Cybercrime Perpetuators in Edo State Nigeria
Authors: Obasi Rosemary Obiageli , Osemwegie-Ero Joy Omeghie , Erhirhie Felix Erhinyoja , Jackson-Akhigbe Beauty E. , Atarere Lovy Omotie-Ivie , Ikponmwoba Osasenaga Gift
Published: September 2024

The paper examined the rationale for crime and cybercrime perpetuators in Edo state, Nigeria. The population of the study comprised of six (06) correctional centers in Edo State. But, was limited to inmates convicted of cybercrime in the Oko correctional center, Benin City. As a result of the prison break that occurred in August 2020. The simple random sampling techniques and the Taro Yamane formular was used to derive the sample size of 148 respondents. Primary data was sourced and used. While, the two-way factor anova analytical tool was used for the analysis. Findings of the study revealed among others that, opportunity has a positive and significant relationship with cybercrime in Edo state. Incentives has a positive and significant relationship with cybercrime in Edo state and rationalization has a positive and significant relationship with cybercrime in Edo state. The study concluded that cybercrime is an activity that can be detrimental to the financial activities of an organization and the society at large. Based on the results, the study recommends that the avenue that has been created as a result of loopholes embedded in the different dynamics of the legal society should be properly investigated and blocked by the relevant regulatory and prosecuting bodies in order to reduce the occurrence of cybercrime. The Government should make the society enabling for investors, which could provide jobs for thousand other individuals, which could reduce the number of youths and individuals that are lured into cybercrime as a result of the incentives and benefits it brings. Lastly, there should be frequent awareness and lectures by regulatory and security agencies on the dangers of cybercrime effect on business organizations and the society at large.
Constelante x/y/z Spatial Direction Project: Aggregator of Light and Darkness Three-Dimensional Mapping Without The Use of Artificial Satélites
Authors: Borges Valdecir de Godoy
Published: September 2024

Ψ - Light and Darkness (L/D) Spatial Positioner, based on light perturbation.
N - Velocity Input.
Z - Spatial Graph.
The Mother of All Sins: An Interpretation of the Forbidden Fruit as Cannabis
Authors: Al-Mutairi Musaed A
Published: September 2024

This article explores the reinterpretation of the forbidden fruit in the Adam and Eve narrative across Christianity, Judaism, and Islam, proposing that it was cannabis rather than the traditionally accepted apple, fig, grape, or wheat. The story's significance in each religion highlights themes of temptation, disobedience, and moral consequences. The author argues that cannabis, with its psychoactive properties, aligns with the altered states of consciousness experienced by Adam and Eve upon consuming the fruit. This theory challenges traditional symbolic interpretations by providing a logical explanation for their sudden awareness and shame. The article also examines the broader implications of cannabis use, such as its potential to impair judgement and behaviour, as illustrated in the story of Cain and Abel. By shifting the perspective from symbolic to practical, the reinterpretation aims to address the real-world impacts of cannabis, promoting informed public health strategies and responsible regulation to mitigate societal harm.
Statistical comparison of simple and machine learning based land use and land cover classification algorithms: A case study
Authors:   Graphic Era (Deemed to be University), Rawat K. S. , Kumar S. ,   Graphic Era (Deemed to be University), Garg N. ,   Graphic Era (Deemed to be University)
Published: September 2024

This study used three different classification models, namely Support Vector Machine (SVM), Random Forest Machine (RFM), and Maximum Likelihood (ML) for classification of Landsat (7 & 8), and Sentinel-2A data sets. Each case’s area of interest (AOI) and number of training sets (within fixed AOI of Chennai district boundary) were considered equal. Land use class change was observed because of rapid urbanization and developmental activities under urbanization, and the LULC was monitored using the ArcGIS Pro platform for 2005, 2010, 2015 and 2020. The overall accuracy (OA) of the first, second, and third was 89%, 88%, 82%, 80% under RF, and 87%, 85%, 79%, 80% under SVM. However, the ML classifier provided the OA as 82%, 77%, 76%, 66% for 2005, 2010, 2015 and 2020, respectively. The Kappa coefficient (K) was calculated under the first, second, and third, as 84%, 79%, 75%, 72%, under RF, and 80%, 78%, 71%, 67% under SVM. However, the ML provided a K value of 77%, 67%, 67%, 57% for 2005, 2010, 2015 and 2020. Based on the quantitative assessments, the RF classifier showed good accuracy, then SVM and ML in classifications of fixed AOI with fixed training sets.
Exploring Young People’s Attitudes Towards Basic Income
Authors: Bollain Julen , Guerendiain-Gabás Itziar , Arnoso-Martínez Maitane , Elías Ortega Ángel
Published: September 2024

Today’s youth find it extremely difficult to look beyond the present, in large part due to the precariousness of the labour market. Unconditional basic income, meanwhile, is emerging as the economic and social policy that is attracting most interest as an alternative not only to the conditional minimum income programmes, but also to the increasing unemployment and precarious conditions of employment. This survey study, conducted among students at the University of the Basque Country (UPV/EHU) in 2021 (n = 709), explores the attitudes of young people towards basic income. Findings reveal strong support among Basque youth for basic income, citing its potential to enhance personal freedom and improve living conditions. While previous studies have already found that young people tend to be more supportive of basic income, this research fills a gap in the literature by analysing in depth young people’s attitudes and beliefs about this policy proposal.
Feature Description using Autoencoders for Fast 3D Ultrasound Tracking
Authors: Wulff Daniel , Ernst Floris
Published: September 2024

3D ultrasound imaging is a promising modality for therapy guidance, e.g. in radiation therapy. It is able to provide volumetric soft tissue images in real-time. However, due to low image quality, high noise ratio and high data dimensionality, real-time capable US image processing methods like target tracking are challenging. In this study, a feature-based tracking approach is investigated. The FAST feature detector is used to detect local image features in 3D ultrasound images. Two different feature descriptors are tested and evaluated in terms of target tracking: The BRIEF descriptor as well as a slicedwasserstein autoencoder. On the basis of a feature matching algorithm, tracking experiments are executed and evaluated using eight labeled 3D US sequences. The mean tracking error measured is 2.08±1.50mm and 2.29±1.59mm using the autoencoder and the BRIEF descriptor, respectively. The results indicate that using an autoencoder for feature description improves the tracking performance compared to a binary descriptor. The proposed tracking method could be executed in fast runtimes of 137 ms and 256 ms per image on average making it real-time capable.
Gamified Virtual Reality Training for Visuospatial Ability in Neuroradiology
Authors: Allgaier Mareen , Jered Härtel Tim , Zubel Seraphine , Thormann Maximilian , Behme Daniel , Preim Bernhard , Saalfeld Sylvia
Published: September 2024

During neuroradiological interventions such as treating intracranial aneurysms, neuroradiologists have to navigate a catheter in the 3D anatomy while watching a 2D projection of the vessels. To train this visuospatial ability, we present a virtual reality application where the user has to identify anatomically relevant positions on the Circle of Willis based on a 2D projection image. This image is generated based on a 3D model using a Fresnel shader. To increase motivation, which is an important aspect of training, we included several game elements. We qualitatively evaluated our application with two neuroradiologists. Although they rated our implementation of the task as difficult due to the small image section, both participants emphasized the importance of this training. Even small changes that have been suggested can adjust the difficulty, leading to an appropriate training that could be integrated into the curriculum. The results also indicate that the included game elements are motivating and that the application in general has a high usability. The proposed immersive virtual reality application provides training for visuospatial ability in a concrete medical context. Due to gamification, fun, and motivation are increased, which are two important factors of training affecting the frequency of use and outcome.
Target Tracking in 4D Ultrasound using Localization Networks
Authors: Krause Cassandra , Wulff Daniel , Ernst Floris
Published: September 2024

In radiation therapy, breathing and other influences cause a constant movement of the tissue to be irradiated. Thus, a continuous position control is required which could be handled by the usage of 3D ultrasound imaging. For this purpose, two approaches for target tracking in 3D ultrasound (US) sequences of the liver are analyzed in this study. Therefore, an image-by-image localization of the target is performed using a deep localization network. A singletarget and a multiple-target approach are investigated where deep localization networks are trained for locating one specific and multiple specific targets, respectively. Training the networks and evaluating the tracking algorithm is performed on the basis of a labeled 3D US liver data set in 2-fold crossvalidation experiments. The single-target and multiple-target approaches performed comparable with a mean tracking error of 2.28±1.20mm and 2.23±1.28 mm, respectively. The proposed tracking algorithm is real-time capable with a mean runtime per 3D ultrasound image of 68ms.
Communication System Using Natural Language for Robotic Laparoscope Guidance
Authors: Pan Yan , Bernhard Lukas , Fan Cheng , Beckendorf Lukas , Wilhelm Dirk , Feußner Hubertus , Groh Georg
Published: September 2024

To help with the critical nurse staffing shortages in hospitals worldwide, robotic assistants are designed to handle frequently required tasks in the digital operating room (DOR), such as the guidance of the laparoscopic camera. To enable fluent collaboration between robots and clinicians, an intuitive and efficient communication interface is needed to allow for interaction using natural language. However, the demanding requirements of the surgical domain make it challenging to develop suitable solutions. A variety of different vocabulary or phrases may be used for expressing the same command. At the same time, surgical workflows may be highly dynamic - especially in emergency situations - and thus the system must be able to grasp the user’s intent both quickly and with high accuracy. This is especially true as only some clinicians may be authorized to request certain tasks, depending on their rank or field of expertise. To solve these challenges, our proposed communication system uses the fine-tuned deep learning model to recognize the speaker information, and the robot assistant takes action only when it detects the commands from the responsible clinician. Also, our proposed conversational functions enable the finetuned large language models to understand the current natural language command given previous command history. In this work, we present a communication system to recognize the speaking person and understand the intent of conversational commands quickly and accurately.
Characterization of Dynamic Gripping Force Feedback for Robot-Assisted Surgery
Authors: Schäfer Max B. , Riepe Sarah , Parenzan Matthias , Bauer Christian J. E. , Hotz Jonas , Meiringer Johannes G. , Weiland Sophie , Pott Peter P.
Published: September 2024

Haptic feedback of gripping forces during robotassisted surgery can benefit the surgical outcome by means of reduced forces applied to the tissue. A custom-designed haptic user interface allows to control four degrees of freedom of the instrument’s endeffector and to display gripping forces. System-centered evaluation is performed to assess its capability of displaying feedback with high mechanical bandwidth. In addition, the perception of gripping forces is evaluated using task-centered methods. Two tasks were performed by ten participants to assess the perceived feedback regarding size and stiffness of grasped objects. Maximum feedback forces of 4.3N and a mechanical bandwidth of 73.5 Hz are achieved. Tests with participants showed promising results regarding the discrimination of size and stiffness of grasped objects.
Towards examiner-independent reproducible abdominal ultrasound examinations
Authors: Baader Tobias , Nam Bach Thanh , Yavuz Sümeyra , Brand Lukas Klaus , Güler Beyda , Grupp Peter , Malek Nisar Peter , Hoffmann Tatjana , Pauluschke-Fröhlich Jan , Fröhlich Eckhart , Burgert Oliver
Published: September 2024

The proposed system aims at reproducibility in ultrasound follow-up examinations by storing the position of the ultrasound transducer in relation to acquired images. The system utilizes an electromagnetic tracking system. It includes a guidance feature to assist in placing the transducer correctly on the patient. Evaluation of the system involved technical accuracy tests on a phantom and accuracy tests on human subjects. The results showed that the technical accuracy of the system met the required criteria, but the transducer positioning error in realistic scenarios was above the threshold. Usability testing indicated potential benefits for medical training and provided suggestions for improving the user interface. Overall, the system shows promise for further development and can already be used for training ultrasound examinations.
Dynamic Torque Limitation vs Static Torque Limitation for Bone Screws in Pig Bone
Authors: Wilkie Jack , Richard Jordan , Joshi Aditya , McFarlane Zoe , Staiger Mark , Rauter Georg , Möller Knut
Published: September 2024

Correctly torquing bone screws is important to achieve good patient outcomes. An automated system has been previously proposed that may allow more objective torquing of bone screws. Here the system is tested vs. a static torque limit in pig bone. 5 screws were first inserted until stripping to calibrate the dynamic and static limits. Then 6 were inserted limited to 80% of the mean stripping torque. Then 7 were inserted using 80% of the dynamic model-predicted stripping torque. The pull-out strength of the dynamic and static insertions were compared and no statistically significant difference was found. Future work should consider at using larger screws and different bone samples, with more repetitions to try and obtain a statistically significant result.
Contactless Energy Supply for Medical Drill with Integrated Temperature Sensor
Authors: Knott Anna-Lena , Sanders Mark , Prinzen Tom , Klenzner Thomas , Schipper Jörg , Kristin Julia , Schmitt Robert H.
Published: September 2024

An atraumatic approach to the inner ear is an important goal in the future development of cochlear implant surgery, as the current surgical procedure for electrode insertion is highly invasive. To reduce invasiveness, minimally invasive surgical options are being explored, such as the insertion of one or more drill channels. Due to the proximity to critical structures, a temperature sensor is incorporated into the medical drill for process parallel temperature monitoring to prevent thermal damage. The temperature data is sent to the analysis hardware via Bluetooth BLE. This requires a power supply for the electronics on the drill. There are a number of limitations to the design of such a power supply. For one, the drill is rotating. Therefore, the energy generation must be contactless. Secondly, the energy generation should not depend on the rotation of the drill, so that the temperature can be measured even without the drill rotating and the rotational speed of the drill is not limited. In this paper, we propose a solution for a contactless energy transmission system (ETS) based on inductive coupling. Considering the dimensional limitations of attaching the electronics to the drill shaft, a multilayer PCB coil with multiple contacts for different number of turns is developed. The electrical circuit is simulated and the best settings are identified. The power supply is validated according to the predefined requirements. In the future, the medical drill will be built with the newly developed ETS. Sterilization and wear tests are performed to confirm the suitability of the drill with integrated temperature sensor for the operating room.
A Calibration Approach for Elasticity Estimation with Medical Tools
Authors: Grube S. , Neidhardt M. , Hermann A.-K. , Sprenger J. , Abdolazizi K. , Latus S. , Cyron C. J. , Schlaefer A.
Published: September 2024

Soft tissue elasticity is directly related to different stages of diseases and can be used for tissue identification during minimally invasive procedures. By palpating a tissue with a robot in a minimally invasive fashion force-displacement curves can be acquired. However, force-displacement curves strongly depend on the tool geometry which is often complex in the case of medical tools. Hence, a tool calibration procedure is desired to directly map force-displacement curves to the corresponding tissue elasticity.We present an experimental setup for calibrating medical tools with a robot. First, we propose to estimate the elasticity of gelatin phantoms by spherical indentation with a state-of-the-art contact model. We estimate force-displacement curves for different gelatin elasticities and temperatures. Our experiments demonstrate that gelatin elasticity is highly dependent on temperature, which can lead to an elasticity offset if not considered. Second, we propose to use a more complex material model, e.g., a neural network, that can be trained with the determined elasticities. Considering the temperature of the gelatin sample we can represent different elasticities per phantom and thereby increase our training data.We report elasticity values ranging from 10 to 40 kPa for a 10% gelatin phantom, depending on temperature.
Pose Measurement of the EndoWrist Round Tip Scissor Instrument with Optical Coherence Tomography
Authors: Schöne Sandra , Pol Nirmal , Kahrs Lueder A.
Published: September 2024

To automate surgical (sub-)tasks in robotic surgery, the knowledge of the exact pose of the instrument is mandatory. The application of Optical Coherence Tomography (OCT) to the problem of pose measurement appears promising due to its advantages of 3D imaging and micron-scale resolution. To investigate this, 175 image sequences of the EndoWrist Round Tip Scissor Tool were acquired with an OCT system. The images differ in the opening angles of the scissor blades and the rotation angles of the entire instrument about its central axis. These image sequences were further processed through computer vision methods of the individual images followed by point cloud generation. For pose estimation, an Iterative Closest Point algorithm was implemented to register the acquired point clouds to reference point clouds created from the instrument CAD file. The implemented algorithm was able to determine the opening angle with an overall error of 2∘ ± 1.3∘ and the rotation angle with a standard deviation between several runs of 0.6∘ ±2.8∘. However, the overall processing time of (39 ± 17)s on a standard PC leaves room for further investigations.
VR-based body tracking to stimulate musculoskeletal training
Authors: Neidhardt M. , Gerlach S. , Schmidt F. N. , Fiedler I. A. K. , Grube S. , Busse B. , Schlaefer A.
Published: September 2024

Training helps to maintain and improve sufficient muscle function, body control, and body coordination. These are important to reduce the risk of fracture incidents caused by falls, especially for the elderly or people recovering from injury. Virtual reality training can offer a cost-effective and individualized training experience. We present an application for the HoloLens 2 to enable musculoskeletal training for elderly and impaired persons to allow for autonomous training and automatic progress evaluation. We designed a virtual downhill skiing scenario that is controlled by body movement to stimulate balance and body control. By adapting the parameters of the ski slope, we can tailor the intensity of the training to individual users. In this work, we evaluate whether the movement data of the HoloLens 2 alone is sufficient to control and predict body movement and joint angles during musculoskeletal training.We record the movements of 10 healthy volunteers with external tracking cameras and track a set of body and joint angles of the participant during training. We estimate correlation coefficients and systematically analyze whether whole body movement can be derived from the movement data of the HoloLens 2. No participant reports movement sickness effects and all were able to quickly interact and control their movement during skiing. Our results show a high correlation between HoloLens 2 movement data and the external tracking of the upper body movement and joint angles of the lower limbs.
Intraoperative navigated ultrasound in posterior fossa surgery
Authors: Bopp Miriam , Saß Benjamin , Pojskic Mirza , Grote Alexander , Nimsky Christopher
Published: September 2024

High navigation accuracy is a prerequisite for tailored and safe tumor resections. However, in posterior fossa surgery, especially in the semi-sitting position, navigation is often considered to be non-useful due to limited accuracy caused by gravitational effects and brain-shift. To enable navigation in these surgical approaches intraoperative evaluation of accuracy and navigation update strategies are required. Navigated intraoperative ultrasound (iUS) might serve as valuable tool to quantify navigation accuracy and even update navigation to gain higher accuracy. Data of 23 patients (28 lesions) undergoing navigation supported surgery in the posterior fossa with application of navigated iUS including acquisition of a 3D iUS data set were evaluated retrospectively based on intraoperative ratings on accuracy and tumor segmentation based on preoperative magnetic resonance imaging (MRI) and iUS data. In nine cases (eleven lesions) navigation was rated “insufficient” leading to a navigation update by manually outlining the tumor volumes within the iUS data set, whereas in all other cases navigation accuracy was rated “sufficient” with no need for further updates. Tumor volume was comparable between MRIand iUS-based segmentation. IUS was successfully applied in navigation-supported surgery in the posterior fossa in the semisitting position enabling continuous navigation-support throughout surgery by evaluation of navigation accuracy and navigation updates, supporting safe maximum tumor resection.
The potential antibacterial effects of tea polyphenols
Authors: Shil Aparna , Banerjee Arnab , Roy Jayati , Pal Manisha , Das Debasmita , Paul Rajarshi , Maji Bithin Kumar , Sikdar Mausumi
Published: September 2024

The current review of tea and its parts is focused on the antibacterial properties, considering the possible applications and modes of action against bacterial illnesses. It shows the backdrop of antibiotic resistance and the huge demand for antibacterial treatments out there. From the interactions with bacterial components, the theory presented that tea polyphenols are antibacterial and therefore would be a substitute or supplementary therapy to the usual antibiotics. The study highlighted the role of tea polyphenols as potential antibacterial compounds that may interact with various bacterial components and different polyphenolic compounds occurring in tea. Future research directions may be directed toward testing more plant-based sources for antibacterial properties, in vivo validation of the studies, and possible synergistic effects with classical antibiotics. By addressing the controversies and disagreements involved, the present understanding of the topic of tea’s antibacterial properties and enable the entry of new ways for fighting microorganisms resistant to antibiotics. In conclusion, this review adds to the growing body of evidence regarding the antimicrobial properties of tea and emphasizes the need for further studies that will allow the full exploitation of its therapeutic potential for countering the rising problem of antibiotic resistance in healthcare.
The effects of modal value and imperative mood on self-predicted compliance to health guidance: the case of COVID-19
Authors: Vilar-Lluch Sara , McClaughlin Emma , Adolphs Svenja , Knight Dawn , Nichele Elena
Published: September 2024

Health messaging is effective if it achieves audience adherence to guidance. Through the lens of Systemic Functional Linguistics, we examine the expression of obligation in poster-based health campaigns (4 posters) employed during the COVID-19 pandemic in the UK by considering whether differences in grammatical mood and modality values impact on public compliance toward the message content. Effects of mood and modality variations are examined through a quantitative-cum-qualitative analysis of results from a representative survey (N = 1,089), which included closed questions on self-predicted compliance to health guidance and open questions on the respondents’ understanding of messaging. The quantitative results favour medium values of obligation (“should” vis-à-vis “must”) and directives in declarative mood for self-efficacy messages, and expressions of certainty when the need to take action to prevent negative outcomes is conveyed. The qualitative results show that, communication context and linguistic features being equal, message types (i.e., self-efficacy, moralising, fear appeals) and visual cues prevail in conditioning public reception. Moreover, since directives employing modality allow for speakers’ inclusion among the targeted addressees, they appear to offer more favourable outcomes than those in the imperative mood. This study provides empirical insights into the effects of modality and mood on health guidance compliance.
NeuroART: Real-Time Analysis and Targeting of Neuronal Population Activity during Calcium Imaging for Informed Closed-Loop Experiments
Authors: Bowen Zac , De Zoysa Dulara , Shilling-Scrivo Kelson , Aghayee Samira , Di Salvo Giorgio , Smirnov Aleksandr , Kanold Patrick O. , Losert Wolfgang
Published: September 2024

Two-photon calcium imaging allows for the activity readout of large populations of neurons at single cell resolution in living organisms, yielding new insights into how the brain processes information. Holographic optogenetics allows us to trigger activity of this population directly, raising the possibility of injecting information into a living brain. Optogenetic triggering of activity that mimics “natural” information, however, requires identification of stimulation targets based on real-time analysis of the functional network. We have developed NeuroART (Neuronal Analysis in Real Time), software that provides real-time readout of neuronal activity integrated with downstream analysis of correlations and synchrony and of sensory metadata. On the example of auditory stimuli, we demonstrate real-time inference of the contribution of each neuron in the field of view to sensory information processing. To avoid the limitations of microscope hardware and enable collaboration of multiple research groups, NeuroART taps into microscope data streams without the need for modification of microscope control software and is compatible with a wide range of microscope platforms. NeuroART also integrates the capability to drive a spatial light modulator (SLM) for holographic photostimulation of optimal stimulation targets, enabling real-time modification of functional networks. Neurons used for photostimulation experiments were extracted from Sprague Dawley rat embryos of both sexes.
Brain Encoding of Naturalistic, Continuous, and Unpredictable Tactile Events
Authors: Castellani Nicolò , Federici Alessandra , Fantoni Marta , Ricciardi Emiliano , Garbarini Francesca , Bottari Davide
Published: September 2024

Studies employing EEG to measure somatosensory responses have been typically optimized to compute event-related potentials in response to discrete events. However, tactile interactions involve continuous processing of nonstationary inputs that change in location, duration, and intensity. To fill this gap, this study aims to demonstrate the possibility of measuring the neural tracking of continuous and unpredictable tactile information. Twenty-seven young adults (females, 15) were continuously and passively stimulated with a random series of gentle brushes on single fingers of each hand, which were covered from view. Thus, tactile stimulations were unique for each participant and stimulated fingers. An encoding model measured the degree of synchronization between brain activity and continuous tactile input, generating a temporal response function (TRF). Brain topographies associated with the encoding of each finger stimulation showed a contralateral response at central sensors starting at 50 ms and peaking at ∼140 ms of lag, followed by a bilateral response at ∼240 ms. A series of analyses highlighted that reliable tactile TRF emerged after just 3 min of stimulation. Strikingly, topographical patterns of the TRF allowed discriminating digit lateralization across hands and digit representation within each hand. Our results demonstrated for the first time the possibility of using EEG to measure the neural tracking of a naturalistic, continuous, and unpredictable stimulation in the somatosensory domain. Crucially, this approach allows the study of brain activity following individualized, idiosyncratic tactile events to the fingers.
The Perbedaan Hasil jadi Shibori dengan Pewarna Dispersi pada Kain Satin Velvet dan Satin Maxmara
Authors: Vauziah Putri Risqi , Musdalifah Musdalifah
Published: September 2024

Shibori merupakan teknik pencelupan kain yang meliputi jahitan, lilitan, ikatan, dijepit dan dibungkus. Meskipun semua bahan dapat dibuat shibori, tetapi proses pewarnaan shibori disesuaikan dengan bahan yang digunakan, misalnya serat selulosa seperti katun, linen, dan rayon menggunakan pewarna reaktif, dan serat protein seperti sutra dan wool diwarnai dengan acid. Sedangkan untuk serat sintetis seperti poliester diwarnai dengan pewarna dispersi. Pewarna dispersi adalah zat warna organik yang dibuat secara sintetis, yang tidak larut dalam air tetapi mudah didispersikan atau disuspensikan dalam air. Pencelupan dengan pewarna dispersi harus menggunakan suhu tinggi dengan proses thermosol. Tujuan penelitian ini untuk mengetahui perbedaan hasil jadi shibori dengan pewarna dispersi pada kain satin velvet dan satin maxmara ditinjau dari kejelasan motif dan ketajaman warna. Jenis penelitian adalah penelitian eksperimen. Variabel bebas : kain satin velvet dan satin maxmara. Variabel terikat : kejelasan motif shibori dan ketajaman warna. Variabel kontrol : Warna zat dispersi yaitu warna merah, teknik kumo shibori, jarak ikatan benang sama, jumlah kuasan tiga kali, ukuran kain 115cm x 115cm, dan waktu pengerjaan sama. Metode pengumpulan data adalah metode observasi dengan 25 responden. Teknik analisis data adalah analisis deskriptif dan analisis data menggunakan uji t dengan program SPSS 25 dengan α > 0,05. Berdasarkan uji t menunjukkan tidak ada perbedaan hasil jadi shibori dengan pewarna dispersi peda kain satin velvet dan satin maxmara ditinjau dari dua aspek, yaitu kejelasa motif dan ketajaman warna. Hasil deskriptif menunjukkan satin velvet memiliki mean lebih tinggi dibanding satin maxmara.
Kata kunci: shibori, satin velvet, satin maxmara, pewarna dispersi
Diseño y desarrollo de un framework para la externalización de la configuración en entornos multitenant
Authors: Mori Peña José Miguel , Sobero Rodriguez Fany Yesenia
Published: September 2024

La gestión de la configuración de las aplicaciones, es un aspecto de alto impacto en los procesos de desarrollo, ejecución y despliegue de las mismas, debido a que típicamente estas configuraciones, hacen referencia a servicios externos/terceros como base de datos, credenciales, correo electrónico, mensajería, personalización de la misma aplicación, entre otros, y suelen variar de acuerdo al entorno en el cual las aplicaciones son desplegadas y al tenant que en tiempo de ejecución hace uso de la aplicación. Bajo estas premisas, el trabajo de investigación propone el desarrollo de un framework, que permita externalizar la configuración con soporte multitenant, estableciendo un lugar central donde se puedan gestionar estas configuraciones, brindando a la aplicación, la capacidad de ejecutarse en múltiples entornos y dar soporte a múltiples tenants sin realizar modificación/recompilación del mismo. Con el objetivo de comprobar el aporte del framework propuesto, se trabajó con profesionales activamente involucrados en el desarrollo de software, a través de un taller dirigido y una encuesta de satisfacción Post Uso, adicionalmente se utilizó el método SQALE para evaluar la calidad del código fuente de la herramienta propuesta. Como resultado la encuesta reveló una alta satisfacción de los involucrados para con la herramienta, y una calificación alta de calidad de desarrollo.
El futuro del aprendizaje: La Inteligencia Artificial compañera del aprendizaje inteligente
Authors: Estela Estela Adán , Requelme Ibáñez Rafael
Published: September 2024

La Inteligencia Artificial transforma la educación mediante la personalización, el acceso a recursos globales, la eficiencia y el análisis avanzado. La modernización educativa es vital; escuelas innovadoras están adoptando tecnologías digitales, invirtiendo en herramientas atractivas y capacitando a los docentes en tecnología para motivar a los estudiantes. Por otro lado, el sistema de evaluación es un proceso muy complejo, por lo que se requiere reajustar frecuentemente en las instituciones educativas. Donde posiblemente se llegue a confundir evaluar con calificar por desconocimiento conceptual. El registrar una calificación o nota no es un procedimiento evaluativo; pero esto será una manera muy fácil de medir algo. El aprendizaje determina un aspecto crucial para el desarrollo mental y conductual, se adquiere mediante experiencias y estudios psicológicos. Fundamental para el crecimiento personal y profesional, influye en el bienestar, determina el futuro y proporciona habilidades clave para el éxito laboral y mejorar la calidad de vida. Aunque se intenta cambiar la evaluación educativa hacia un enfoque más integral, se presenta de manera oculta el requisito de aprobar y dar cumplimiento con los contenidos temáticos y persiste la influencia de normas tradicionales y la necesidad de aprobación, afectando la enseñanza docente.
THE SHORT NOVEL (POVEST’) OF V. KOSTERIN “SNIPE” AS A PHENOMENON OF PHILOLOGICAL PROSE
Authors: Shalina Marina
Published: September 2024

The article analyzes the story of V. Kosterin "Snipe" in the light of the peculiarities of philological prose, as well as the traditions of Christian realism by F. M. Dostoevsky. First of all, the hero of the work himself, the sniper, the modern Raskolnikov (literally and figuratively) pays special attention to words, their sound and meaning. Being locked up in a bunker for a long time, he repeatedly reads, rereads and even rewrites the novel Crime and Punishment, namely the chapter of reading the parable of the resurrection of Lazarus. From a passion for a literary text, through gaining a revelation about the Word, Roman Raskolnikov is on the path of spiritual awakening, repentance and transformation. The “philological nature” of the story is due to at least several factors: a subtle philological pattern of subtexts formed by epigraphs, onomapoetics, a system of intertextual echoes with Dostoevsky’s work, as well as the targeted attention of the author, a philologist, to the sacred function of the gospel word in a literary text and the use of his own theory of iconicity artistic image. Contrasting with the emphatically historical, playful postmodernist orientation, as well as the total irony over culture, V. Kosterin's story brings the genre of philological prose to a moral-religious and timeless vector, which provides the genre with a new level and development prospects.
“This Lovely Short Story “Dushechka” (“The Darling”)” (Chekhov’s Image in Gazdanov’s Novel “Nochnye dorogi” (“Night Roads”) in the Context of Cryptopoetics)
Authors: Alexandrova Elmira
Published: September 2024

The present study is devoted to several instances of Gaito Gazdanov’s cryptographic references to the texts of A. P. Chekhov. The focus of the study is the image of the Russian emigrant Fedorchenko, portrayed in Chekhov’s style. His literary prototype is the heroine of the short story “Dushechka” (“The Darling”). An appeal to Gazdanov’s publicistic speech “On Chekhov” allows to decipher the “Chekhovian” subtext of the image. The article also contains an analysis of the image of Suzanne who, being Fedorchenko’s heroinedouble, is still portrayed by the author in a different vein. Tolstoy’s interpretation of the meaning of “Dushechka” (“The Darling”) made it possible to suspect a certain hidden “optimism” in the ending of the novel. The study takes into account the presence of other literary prototypes of the aforementioned heroes, and allusions to them disavow their correlation with the Chekhovian image and transpose them to a covert plane, the sphere of cryptopoetics.
СПОСОБИ СТВОРЕННЯ КОМІЧНОГО НА ЛЕКСИКО-СЕМАНТИЧНОМУ РІВНІ ТА ЙОГО ПЕРЕКЛАД УКРАЇНСЬКОЮ МОВОЮ (НА МАТЕРІАЛІ ТВОРІВ О. ГЕНРІ)
Authors: Висоцька Т. , Кудлай І.
Published: September 2024

Постановка проблеми. Питання адекватного відбиття жанрових особливостей літературного твору в перекладі завжди було дискусійним. Оскільки жанр пов’язаний зі стилем, а стиль – це система, яка охоплює всі аспекти мови, відтворення стильових особливостей у перекладі вимагає серйозних зусиль і викликає багато складнощів. Літературні твори є надзвичайно складними для перекладів художньої літератури, оскільки вони вбирають інтелектуальний потенціал нації, накопичений століттями, і відбивають неповторний стиль кожного автора. Особливо в разі з гумористичними творами, авторське почуття гумору, тонка іронія та веселий фольклорний колорит оригіналу не завжди адекватно зберігається в перекладі.
Метою дослідження природи мовно-стилістичних засобів створення унікальності жанру новели та способи її відтворення українською мовою на матеріалі творів О. Генрі.
Методи дослідження. Метод аналізу використано під час вивчення теоретичних джерел, описовий метод використовується під час спостереження дій персонажів, зіставний метод використовуємо під час аналізу перекладів.
Основні результати дослідження. У статті проаналізовано прийоми та способи перекладу засобів художньої виразності для передавання комічного у творах О. Генрі; була зроблена класифікація основних засобів створення комічного ефекту та основних перекладацьких трансформації для передавання комічного ефекту.
Висновки і перспективи. Узагальнюючи результати проведеного дослідження, можна зробити висновок, що способи створення комічного на лексико-семантичному рівні у творах О. Генрі, з їхнім подальшим перекладом українською мовою, відкривають широкі можливості для дослідження гумористичного потенціалу літератури. Розуміння та використання цих способів не тільки допоможе читачам краще зрозуміти комічний контекст творів О. Генрі, але й розширить лексичний і стилістичний арсенал української мови. Перспективою подальших досліджень є аналіз культурного фону письменника, що дасть змогу розкрити специфічні для культури лінгвопоетичні засоби комічного, втілені в текстах, і краще зрозуміти особливості вибору стратегій перекладу для відтворення комічного в текстах, призначених для сприйняття представниками інших культур.
ДЕТЕРМІНУВАННЯ ЯК ЧИННИК ІНТЕЛЕКТУАЛІЗАЦІЇ УКРАЇНСЬКОГО МОВНОГО ПРОСТОРУ
Authors: Куньч З.
Published: September 2024

Постановка проблеми. Розвиток інформаційних технологій, глобалізація і високий рівень освічености сучасного суспільства накладають помітний відбиток на стан мовної системи. Спостерігаємо високий рівень інтелектуалізації літературної мови, що супроводжується міграцією термінної лексики до художнього стилю. Актуально постає завдання дослідити механізми інтелектуалізації сучасної мови.
Метою статті є аналіз детермінування функційного рівня як одного з важливих аспектів інтелектуалізації мовного простору.
Методи дослідження. Використовуємо низку лінгвістичних і загальнонаукових методів: структурно-тематичний та семантичний аналіз – для виокремлення лексем функційного рівня детермінування; інтерпретаційний метод – для виявлення семантичних нюансів детермінованих одиниць у конкретних контекстах; описовий, компонентний та дедуктивний методи, абстрагування та узагальнення – для виокремлення найсуттєвіших теоретичних даних, які стосуються досліджуваної проблеми тощо.
Основні результати дослідження. Матеріалом для дослідження є цитати із використанням 323 детермінованих лексем функційного рівня, виокремлені з роману Ліни Костенко «Записки українського самашедшого». Спостережено, що залучення до тексту художнього твору функційної детермінації, сприймання якої потребує певних інтелектуальних зусиль читача, може передбачати досягнення таких комунікативних завдань: змістова точність, структурування абстрактних думок, художня виразність. Змістова точність завдяки доречному використанню функційних детермінацій відображає нинішню мовну дійсність, комунікативні звички освіченого читача, який вільно оперує термінологією різних галузей знань у повсякденному спілкуванні. Структурування абстрактних думок супроводжується виокремленням важливих сем детермінованих лексем і їх накладанням на значення порівнюваного об’єкта. Застосування в ролі компаратора детермінованих лексем змушує читача до інтелектуальних зусиль, позаяк від розуміння їхнього термінного значення залежить сприйняття цілісної авторської думки. Досягнення художньої виразности, зокрема залучення детермінованих лексем до складу стилістичних фігур, сприяє орнаментації мовлення і викликає емоційно-експресивну реакцію читачів, як-от: сатиричну або саркастичну; іронічно-гумористичну, нейтральну.
Висновки і перспективи. Використання в художньому тексті детермінованої лексики демонструє, з одного боку, широку ерудицію автора та його стилістичні вподобання, а з другого, свідчить про скерованість аналізованого твору на інтелектуального читача, здатного осягнути глибину думки й насолодитися влучністю авторських ідей. Перспективи подальших досліджень вбачаємо в аналізі інших засобів інтелектуалізації українського мовного простору.
(Im)Mobility in (Post-)Pandemic Hollywood
Authors: Martausová Martina
Published: September 2024

The outbreak of the Covid-19 pandemic in 2020 brought the world as we knew it to a halt, radically transforming various aspects of cultural, social, political, and economic life in nearly very country. And even though the pandemic did not dramatically change cinema production, it did reflect the moods and anxieties stemming from the brief episode of worldwide stagnation. This study considers The Midnight Sky (2020), Mother/Android (2021), Run (2020), and Don’t Worry Darling (2022), films released during the pandemic, to analyze how individual productions process one of the most vital narrative devices—mobility—to reflect on pandemic sensibilities.
The (Im)Possibility of Self-Realisation in Fitzgerald's “The Curious Case of Benjamin Button” and Its Film Adaptation
Authors: Ninčetović Nataša V.
Published: September 2024

Starting from the observation that the case of Benjamin Button is simultaneously peculiar and universal, both in Fitzgerald’s short story and its film adaptation, this paper offers evidence that Benjamin’s story may be interpreted as an illustration of the concept of Bildung. However, the two works adopt different positions towards whether and how the protagonist achieves self-realisation. In the short story, which reflects the modernist vision of Bildung, Benjamin’s path to maturity is doomed to failure both by his inability to create an inner free space and by the external world hostile to his personal growth. On the other hand, Fincher’s Benjamin succeeds in creating an inner space and coming to terms with his otherness.