bluuebunny/crossref_metadata_2025 huggingface dataset:
On Optimal Tradeoffs between EFX and Nash Welfare
Authors: Feldman Michal , Mauras Simon , Ponitka Tomasz
Published: March 2024

A major problem in fair division is how to allocate a set of indivisible resources among agents fairly and efficiently. The goal of this work is to characterize the tradeoffs between two well-studied measures of fairness and efficiency --- envy freeness up to any item (EFX) for fairness, and Nash welfare for efficiency --- by saying, for given constants α and β, whether there exists an α-EFX allocation that guarantees a β-fraction of the maximum Nash welfare (β-MNW). For additive valuations, we show that for any α ∈ [0,1], there exists a partial allocation that is α-EFX and 1/(α+1)-MNW. This tradeoff turns out to be tight (for every α) as demonstrated by an impossibility result that we give. We also show that for α ∈ [0, φ-1 ≃ 0.618] these partial allocations can be turned into complete allocations where all items are assigned. Furthermore, for any α ∈ [0, 1/2], we show that the tight tradeoff of α-EFX and 1/(α+1)-MNW with complete allocations holds for the more general setting of subadditive valuations. Our results improve upon the current state of the art, for both additive and subadditive valuations, and match the best-known approximations of EFX under complete allocations, regardless of Nash welfare guarantees. Notably, our constructions for additive valuations also provide EF1 and constant approximations for maximin share guarantees.
Maxileximin Envy Allocations and Connected Goods
Authors: Greco Gianluigi , Scarcello Francesco
Published: March 2024

Fair allocation of indivisible goods presents intriguing challenges from both a social choice perspective and an algorithmic standpoint. Due to the indivisibility of goods, it is common for one agent to envy the bundle of goods assigned to another agent and, indeed, envy-free solutions do not exist in general. In line with the classical game-theoretic concept of Nucleolus in coalitional games, we propose that a fair allocation should minimize the agents’ dissatisfaction profile in a lexicographic manner, where the dissatisfaction of an agent is defined as her maximum envy towards other agents. Therefore, we seek allocations that minimize the maximum envy. In cases where multiple solutions have an equal maximum value, we minimize the second-worst value, and so on. Additionally, as is customary in fair division problems, we also consider an efficiency requirement: among the allocations with the best agents’ dissatisfaction profile, we prioritize those that maximize the sum of agents’ utilities, known as maximum social welfare. Such allocations, referred to as maxileximin allocations, always exist.
In this study, we analyze the computational properties of maxileximin allocations in the context of fair allocation problems with constraints. Specifically, we focus on the Connected Fair Division problem, where goods correspond to the nodes of a graph, and a bundle of goods is allowed if the subgraph formed by those goods is connected. We demonstrate that the problem is F∆P2 -complete, even for instances with simple graphical structures such as path and star graphs.
However, we identify islands of tractability for instances with more intricate graphs, such as those having bounded treewidth, provided that the number of agents is bounded by a fixed number and utility functions use small values.
Reachability of Fair Allocations via Sequential Exchanges
Authors: Igarashi Ayumi , Kamiyama Naoyuki , Suksompong Warut , Yuen Sheung Man
Published: March 2024

In the allocation of indivisible goods, a prominent fairness notion is envy-freeness up to one good (EF1). We initiate the study of reachability problems in fair division by investigating the problem of whether one EF1 allocation can be reached from another EF1 allocation via a sequence of exchanges such that every intermediate allocation is also EF1. We show that two EF1 allocations may not be reachable from each other even in the case of two agents, and deciding their reachability is PSPACE-complete in general. On the other hand, we prove that reachability is guaranteed for two agents with identical or binary utilities as well as for any number of agents with identical binary utilities. We also examine the complexity of deciding whether there is an EF1 exchange sequence that is optimal in the number of exchanges required.
GigaHumanDet: Exploring Full-Body Detection on Gigapixel-Level Images
Authors: Liu Chenglong , Wei Haoran , Yang Jinze , Liu Jintao , Li Wenxi , Guo Yuchen , Fang Lu
Published: March 2024

Performing person detection in super-high-resolution images has been a challenging task. For such a task, modern detectors, which usually encode a box using center and width/height, struggle with accuracy due to two factors: 1) Human characteristic: people come in various postures and the center with high freedom is difficult to capture robust visual pattern; 2) Image characteristic: due to vast scale diversity of input (gigapixel-level), distance regression (for width and height) is hard to pinpoint, especially for a person, with substantial scale, who is near the camera. To address these challenges, we propose GigaHumanDet, an innovative solution aimed at further enhancing detection accuracy for gigapixel-level images. GigaHumanDet employs the corner modeling method to avoid the potential issues of a high degree of freedom in center pinpointing. To better distinguish similar-looking persons and enforce instance consistency of corner pairs, an instance-guided learning approach is designed to capture discriminative individual semantics. Further, we devise reliable shape-aware bodyness equipped with a multi-precision strategy as the human corner matching guidance to be appropriately adapted to the single-view large scene. Experimental results on PANDA and STCrowd datasets show the superiority and strong applicability of our design. Notably, our model achieves 82.4% in term of AP, outperforming current state-of-the-arts by more than 10%.
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity
Authors: Zhang Zuozhen , Ji Junzhong , Liu Jinduo
Published: March 2024

In recent years, the discovery of brain effective connectivity (EC) networks through computational analysis of functional magnetic resonance imaging (fMRI) data has gained prominence in neuroscience and neuroimaging. However, owing to the influence of diverse factors during data collection and processing, fMRI data typically exhibits high noise and limited sample characteristics, consequently leading to suboptimal performance of current methods. In this paper, we propose a novel brain effective connectivity discovery method based on meta-reinforcement learning, called MetaRLEC. The method mainly consists of three modules: actor, critic, and meta-critic. MetaRLEC first employs an encoder-decoder framework: the encoder utilizing a Transformer, converts noisy fMRI data into a state embedding; the decoder employing bidirectional LSTM, discovers brain region dependencies from the state and generates actions (EC networks). Then a critic network evaluates these actions, incentivizing the actor to learn higher-reward actions amidst the high-noise setting. Finally, a meta-critic framework facilitates online learning of historical state-action pairs, integrating an action-value neural network and supplementary training losses to enhance the model's adaptability to small-sample fMRI data. We conduct comprehensive experiments on both simulated and real-world data to demonstrate the efficacy of our proposed method.
Multi-Constellation-Inspired Single-Shot Global LiDAR Localization
Authors: Zhang Tongzhou , Wang Gang , Chen Yu , Zhang Hai , Hu Jue
Published: March 2024

Global localization is a challenging task for intelligent robots, as its accuracy directly contributes to the performance of downstream navigation and planning tasks. However, existing literature focus more on the place retrieval and the success rate of localization, with limited attention given to the metrics of position estimation. In this paper, a single-shot global LiDAR localization method is proposed with the ultimate goal of achieving high position accuracy, inspired by the positioning approach of multi-constellation localization systems. Initially, we perform coarse localization using global descriptors and select observation points along with their corresponding coordinates based on the obtained coarse localization results. Coordinates can be acquired from a pre-built map, GNSS, or other devices. Then, a lightweight LiDAR odometry method is designed to estimate the distance between the retrieved data and the observation points. Ultimately, the localization problem is transformed into an optimization problem of solving a system of multiple sphere equations. The experimental results on the KITTI dataset and the self-collected dataset demonstrate that our method achieves an average localization error (including errors in the z-axis) of 0.89 meters. In addition, it achieves retrieval efficiency of 0.357 s per frame on the former dataset and 0.214 s per frame on the latter one. Code and data are available at https://github.com/jlurobot/multi-constellation-localization.
What Does a Query Answer Tell You? Informativeness of Query Answers for Knowledge Bases
Authors: Andolfi Luca , Cima Gianluca , Console Marco , Lenzerini Maurizio
Published: March 2024

Query answering for Knowledge Bases (KBs) amounts to extracting information from the various models of a KB, and presenting the user with an object that represents such information. In the vast majority of cases, this object consists of those tuples of constants that satisfy the query expression either in every model (certain answers) or in some model (possible answers). However, similarly to the case of incomplete databases, both these forms of answers are a lossy representation of all the knowledge inferable from the query and the queried KB. In this paper, we illustrate a formal framework to characterize the information that query answers for KBs are able to represent. As a first application of the framework, we study the informativeness of current query answering approaches, including the recently introduced partial answers. We then define a novel notion of answers, allowing repetition of variables across answer tuples. We show that these answers are capable of representing a meaningful form of information, and we also study their data complexity properties.
Experimental study on chemical and thermomechanical properties of concrete incorporating Washingtonia robusta fibres
Authors: Siham Sakami , Boukhattem Lahcen , Boumhaout Mustapha
Published: March 2024

The aim of this work is to provide a new composite material for applications in the thermal insulation of buildings. The composite was made with mortar reinforced with natural fibres extracted from the petiole of the Washington robusta (WR) palm tree. The fibres used were first chemically characterised by energy-dispersive X-ray spectroscopy, scanning electron microscopy, X-ray and infrared diffractometry spectroscopies alongside tensile testing to discover their morphological structure. Afterwards, the fibres were incorporated into mortar with mass percentages varying from 0 to 4% to determine experimentally the thermomechanical properties of the manufactured samples. The chemical findings indicated that WR fibres are rich in cellulose, hemicellulose and lignin, and possess a high crystallinity index, which enhances the mechanical properties and durability of the composite. The density obtained for the composite W2RC4% is 1305 kg/m3 and less than 2000 kg/m3; this composite can thus be classified as a lightweight concrete according to the standard NF EN 206 + A2/CN (2022). The thermal conductivity and thermal effusivity dropped by about 60% and 42%, respectively. Moreover, the WR reduces the compressive strength (76%) and the flexural strength (36%) to minimum values, respectively, of 5.9 MPa and 3.8 MPa. These values meet the mechanical requirements of lightweight concretes (> 3.5 MPa).
Backward erosion piping in geotechnical infrastructure: a rate process perspective
Authors: Wang Zhijie , Oskay Caglar , Fascetti Alessandro
Published: March 2024

Backward erosion piping (BEP) has been recognised as a major cause of failures in water-retaining structures. However, the fundamental mechanisms controlling the phenomenon are not well understood. This research applies the theory of rate processes to develop a constitutive relationship between energy density of the seepage flow and the erosion rate of soils during the evolution of BEP. The resulting equation is used to analyse four datasets of previously reported experimental observations. The mechanical parameters estimated through the proposed model fall into the ranges of values that were reported in the literature. To validate the proposed approach, the constitutive model was incorporated into a multiphase numerical framework to simulate evolution of BEP in embankment soil and compared with reported experimental observations. The numerical framework with the proposed constitutive model is shown to be capable of reproducing both the observed evolution of local hydraulic gradients and pipe progression in the structure.
Depremzedelere Bakım Veren Hemşirelerin Deneyim, Duygu ve Düşüncelerinin Belirlenmesi: Nitel Bir Çalışma
Authors: Sançar Behire , Cüceler Seval , Özcanarslan Neslihan , Özcanarslan Fügen
Published: March 2024

Amaç: Bu niteliksel çalışma, depremzedelere bakım veren hemşirelerin deneyim, duygu ve düşüncelerin belirlenmesi amacıyla gerçekleştirilmiştir.

Yöntemler: Bu çalışma, Mersin ilinde bulunan ve en büyük üçüncü basamak sağlık hizmeti veren özel bir hastanede Nisan -Mayıs 2023 tarihleri arasında depremzedelere bakım veren 29 hemşire ile yapılmıştır. Araştırma verileri yarı yapılandırılmış görüşme formu kullanılarak toplanmış ve verilerin içerik analizi yapılmıştır. Bu nitel araştırma “Niteliksel Araştırmayı Raporlamaya İlişkin Birleştirilmiş Kriterler (COREQ)” kullanılarak raporlanmıştır.

Bulgular: Çalışmadan elde edilen sonuçlara göre, hemşirelerin ifadeleri; deneyim, duygu ve düşünce olmak üzere üç ana ve on alt temada toplanmıştır. Hemşirelerin deneyimleri ana temasında; kayıp yaşamlar, yaşamın önemi ve umuda tutunma; hemşirelerin duyguları ana temasında, üzüntü, çaresizlik, buruk mutluluk ve stres yaşama; hemşirelerin düşünceleri ana temasında ise mesleki doyum, savunucu rol ve empati kurma alt temaları oluşmuştur.

Sonuç : Bu araştırmada depremzedelere bakım veren hemşirelerin pek çok farklı deneyim, duygu ve düşünceyi bir arada yaşadıkları görülmüştür. Hemşirelere psikolojik destek sağlanmasına ilişkin yönetsel çalışmaların yapılması önerilmektedir.
Registered Nurses’ and Nursing Students’ Attitudes Towards Scientific Research: A Cross-Sectional Study
Authors: Ulaş Karaahmetoğlu Gülşen , Kütahyalioğlu Nesibe Sumeyye
Published: March 2024

Objective: The current study evaluated and compared nurses’ and nursing students’ attitudes towards nursing research and the factors affecting it.

Methods: The study used a cross-sectional, descriptive survey design. Bedside nurses with at least one year of nursing experience and senior nursing students completed the Scale of Attitude towards Scientific Research, which is valid and reliable instrument.

Results: There were no significant differences in the mean of overall score of Attitudes of Scientific Research across groups. However, significant differences were found in the mean scores of unwillingness to help researchers (P=0.002), positive attitudes towards research (P=0.002), and positive attitudes towards researchers (P=0.002) between nurses and nursing students. Additionally, the results showed significant differences in the mean of sub-scales based on nurses’ education (P=0.04), responsibility (P=0.01), reading articles frequency (P=0.02), and nursing students’ gender (P=0.03), and reading articles frequency (P=0.04). Overall, nursing students had significantly higher scores in positive attitudes of research (M=24.5, SD=4.6) and positive attitudes of researcher (M=23.6, SD=4.3) compare to nurses (M=22.5, SD=5.3; M=21.6, SD=5.1 respectively).

Conclusion: Findings indicated that nursing students had significantly more positive attitudes to nursing research compare to registered nurses. Reading academic article is the only facilitator in each group that is associated with positive attitudes of scientific research. We recommend institutional support to encourage research activities and a revised nursing curriculum. Future studies should examine the relationships between attitudes towards research and the actual conducting of research.
Hemodiyaliz Tedavisi Uygulanan Bireylerin Psikososyal Bakım Gereksinimleri: Nitel bir çalışma
Authors: Özyer Güvener Yasemin , Gümüş Kübra
Published: March 2024

Amaç: Bu çalışma hemodiyaliz tedavisi uygulanan bireylerin psikososyal bakım gereksinimlerini belirlemek amacıyla yapılmıştır. Bu özel popülasyonun ihtiyaçlarının değerlendirilmesi ve belirlenmesi önemli bir durumdur. Bu çalışmada hemodiyaliz hastalarının yaşadığı zorluklar genel olarak anlatılarak hemodiyaliz alan bireylerin yaşadığı sıkıntılar açık bir şekilde ortaya çıkarılmıştır.

Yöntemler: Bu çalışma, betimleyici, fenomenolojik desende nitel olarak yapılmıştır. Çalışmada yarı yapılandırılmış anket formu kullanılmış ve 12 katılımcı çalışmaya dahil edilmiştir.

Bulgular: Çalışmada 3 bağlam, 6 tema ve 38 alt tema ortaya çıkmıştır. Hastalığa bağlı gelişen sorunlar (komplikasyonlar ve semptomlar), bakıma yönelik ihtiyaçlar (size bakım vermesini istediğiniz sağlık çalışanı, tedavi ve bakıma yönelik gereksinimler, bakım vericinin özellikleri) hastalıkla başa çıkma mekanizmaları (destek sistemleri ve hastalıkla başa çıkma davranışları) olarak temalar belirlenmiştir.

Sonuç: Çalışmada hemodiyaliz hastaları birçok psikososyal ve fiziksel sorunla karşılaştıklarını ifade etmiştir. Hemodiyaliz hastalarının psikososyal gereksinimlerinin belirlenmesi ve buna yönelik müdahalelerin uygulanması hastalığın seyrini olumlu yönde etkileyebilir. Bu psikososyal sorunların belirlenip gerekli müdahalelerin uygulanmasında en önemli rol hemşirelere düşmektedir. Hemşireler diyaliz hastalarının bakımında önemli görev ve sorumluluklara sahiptir. Etkili hemşirelik bakımı hastaların hastalıkla ilgili yan etkilerini azaltabilir ve yaşam kalitesini arttırabilir. Hasta merkezli hemşirelik bakımı hastaların diyaliz bakımının kalitesini ve hasta memnuniyetini artırabilir.
Remaking civil society under authoritarian capitalism: The case of the Orbán regime’s Hungarian Academy of Arts
Authors: Nagy Kristóf
Published: March 2024

Authoritarian regimes are known for their attacks on civic organizations; however, this article demonstrates how such rules also set up and operate new forms of civil society. Drawing on a year-long ethnographic fieldwork at the cultural flagship institution of the Orbán-regime, the Hungarian Academy of Arts (HAA), this research engages with civic organizations often labeled as ‘uncivil,’ ‘dark,’ or ‘illiberal.’ Instead of applying the normative notion of civil society, it joins a century-long body of literature that, following Gramsci, stresses the integral nature of political and civil society. The article contributes to this research trajectory by spotlighting a new hegemonic regime’s dynamic remaking of civil society. The article conceptualizes the process of remaking civil society and reveals four facets beyond top-down command (1) the making of clientelist social relations that affect both the privileged and the rank-and-file actors, (2) the managed articulation of dissent toward the regime that pacifies discontent (3) the relative autonomy of regime-allied civic organizations and (4) the orchestration of pre-existing bottom-up initiatives. By coining the concept of recivilization, this article contributes to understanding how emerging regimes remake civil society and mobilize voluntary social practices to maintain their rule. Through this understanding, this article highlights that authoritarianism is more than top-down ruling and suggests the novel notion of recivilization as a concept to capture the pro-systemic role of civil society.
Victims’ perspectives towards sexual harassment prevention measures at work: Using victims’ voices to build an anti-harassment working environment
Authors: Nguyen Hong-Thu Thi , Le Giang Thi
Published: March 2024

This mixed-method study revolves around female victims’ perspectives and voices concerning sexual harassment prevention measures in their workplaces. Two hundred and eighty-nine participants responded to questionnaires, in-depth questions, and interviews (with 20 interviewees). Data were collected from various professionals who had experienced sexual misconduct at work. The research objectives were to investigate victims’ perspectives of sexual harassment prevention and the effectiveness of related measures, to examine the impact of sexual harassment measures on work-related motivation, and to explore female employees’ voices concerning reforms involving the implementation of sexual harassment prevention measures. The quantitative results reveal that the victims did not highly evaluate the effectiveness of sexual harassment prevention measures implemented at their workplaces. Also, the measures negatively impacted employees’ work-related motivation. Qualitative data indicated that the victims strongly recommended positive changes in sexual harassment awareness education, sexual harassment laws, and women's protection policies to create an anti-sexual harassment working environment.
Progression of COVID-19 Cases in Telangana State by using ARIMA, MLP, ELM and LSTM Prediction Models by Retrospective Confirmation
Authors:   Research Scholar, Department of Mathematics, School of Science GITAM: Deemed to be University, Hyderabad, Telangana, India, Rajendar M , Reddy D Mallikarjuna , Nagesh M , Nagaraju V
Published: March 2024

Objective: The importance of this research article is to evaluate efficient model for diagnosing pandemic COVID-19 positive cases in Telangana State, India. Method: Neural Network models (Extreme Learning Machine and Multi-Layer Perception), Deep Learning Neural Network model (Long Short Term Memory-LSTM) and traditional Auto Regressive Integrated Moving Average (ARIMA) models were applied and the data was converted from non-linear to linear (stationarity) for forecasting Covid-19 positive cases. The study of the data covered from 1st. Dec 2020 to 30th May 2021. 80% of train data was taken to fit the models and then 20% of the test data was used to predict the values. The deviation between original test data and predicted data led to an error. Among these error values, the model which had minimum errors was considered as the best of the four models. Findings: LSTM model was proved to be the most efficient model, as a result of the least Root mean square error (RMSE = 71.12) compared to ARIMA (258.20), ELM (553.67) and MLP (641.86) values. Novelty: These forecasting methods succour to predict the Covid-19 positive cases in the forthcoming days. This has been suggested for taking the better preventive steps to control the Covid-19 positive cases. Keywords: COVID­19, ARIMA, LSTM, MLP, ELM Forecasting
Image Analysis and Classification Using HRSVM-CNN for Land-Cover Classification by Using Remote Sensing Images
Authors:   Research Scholar, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India, Vinuja G , Devi N Bharatha , Mary G Aloy Anuja
Published: March 2024

Objective: To effectively analyze diverse satellite images and derive valuable insights, it's crucial to employ efficient methods for classification and image processing. However, due to imperfections in image formats and sensor data, satellite imagery often contains flaws and inaccuracies, requiring extra steps to enhance its quality. The proposed solution involves two key techniques: segmenting the input image using a Hybrid HRSVM-CNN and classifying the resulting high-resolution remote sensing image using a Convolutional Neural Network. This combined approach addresses the challenges posed by image inconsistencies and aims to improve the accuracy and efficiency of current methods for satellite image analysis. Methods: In this research, a high-resolution Support Vector Machine-Convolutional Neural Network (Hybrid HRSVM-CNN) and texture characteristics are used to create an automated land identification method for satellite Remote sensing (RS) images. This approach's main focus is segmentation using the Bendlet Transform and Improved Chan-Vese, and it also does classification using a Hybrid HRSVM-CNN based on feature extraction and gray-level co-occurrence matrix algorithm. Findings: The proposed classification method's accuracy was evaluated against several other classification algorithms, including Semi-Supervised Graph Based Method (SSG), Conditional Random Fields (CRF), k-Nearest Neighbor (KNN), and Bi-layer Graph-based Learning (BLGL), Support Vector Machine (SVM), and Artificial Neural Networks (ANN). When compared with existing methods, the findings of the proposed method display excellent accuracy of 98.83%. Novelty: To start, an adaptive median filter is used to pre-process the satellite Remote sensing images, removing unwanted noises and other impacts. Following pre-processing, the image is segmented using the Bendlet Transform and Improved Chan-Vese algorithms. Gray-level co-occurrence matrix is utilized to extract texture information, and the Hybrid HRSVM-CNN is then used to categorize the various types of land. These applications frequently have a variety of issues that affect the categorization accuracy. A few significant factors, like location, irregularity, form, and diameter, reduce the process's overall accuracy. This research focuses on presenting a unique Land-Cover classification model in order to address such problems. The UC Merced Land Use dataset was considered in this research. Keywords: Bendlet Transform and Improved Chan­Vese Segmentation, Hybrid HRSVM­CNN, Land detection system, Satellite remote sensing images, Adaptive median filter, Gray­ level co­occurrence matrix
Morphological, Optical and Voronoi Polygon Analysis of Breath Figures Prepared on Polymeric Surface
Authors:   Department of Physics, G. N. Khalsa College, Matunga, Mumbai, 400019, Maharashtra, India, Deokar Rajashree , Banpurkar Arun G , Singh Arvind R , Mehta Jignesh , Gajengi Aravind , Thatai Sheenam , Pahwa Neelam , Nalawade Sandipan
Published: March 2024

Background/ Objectives: The formation of breath figures over polymers like polystyrene has vast applications in material science for making numerous micro- and nanopatterned functional surfaces. However, the breath figures (BFs) method is a complex phenomenon as the actual formation of structures are many times unpredictable and the nature of structure depends on the type of polymer, solvent, degree of humidity and additives used. The work presented in this paper deals with the study of condensation on the surface of volatile polystyrene polymer solution and their uses for non-wetting using optical and morphological studies along with mathematical model Voronoi polygon analysis using polystyrene and solvent of benzene and chloroform. The growth dynamics of Breath-Figures (BFs) formed due to condensation is presented in brief. Method: Breath Figure (BF) patterns were prepared by two solvents: benzene and chloroform. Different representative values of relative Humidity viz. 60, 70, 80 and 90 % were employed for making BFs. Two different polymer concentrations of 5 and 10 w/v % was used in this study. Findings: The morphology has been statistically analyzed for different parameters like average diameter and their size distribution etc. In case of BFs formed on benzene surface, droplet has average diameter of about 12 µm at 90% humidity but in case of chloroform surface this diameter is about 25 µm at 90% humidity. Voronoi analysis demonstrates simplistic way to qualitatively check the six-fold order and the coordination numbers in BFs. Novelty: The work shows comparative study of BFs patterns using polystyrene on two different solvents with changing humidity. The study shows morphology of the breath patterns is mainly dependent on the polymer concentration, humidity and density of solvents which is a new observation. The study leads to the acquisition of new knowledge on BFs which provides insight important for various applications including biological fields. Keywords: Breath­figures, Voronoi polygon, Polystyrene, Contact angle, Condensation
Poisson Input and Exponential Service Time Finite Capacity Interdependent Queueing Model with Breakdown and Controllable Arrival Rates
Authors:   PG & Research Department of Mathematics, St. Joseph’s College (Autonomous), Affiliated to Bharathidasan University, Tiruchirappalli, 620002, Tamil Nadu, India, Therasal S Nivetha , Thiagarajan M
Published: March 2024

Objectives: This study aims at (i) introducing the finite capacity of the interdependent queueing model with breakdown and controllable arrival rates, (ii) calculating the average number of clients in the system, and identifying the expected waiting period of the clients in the system, (iii) dealing with the model descriptions, steady-state equations, and characteristics, which are expressed in terms of , and (iv) analyzing the probabilities of the queueing system and its characteristics with numerical verification of the obtained results. Methods: While providing the input, the arrival rates through faster and slower arrival rates are controlled using the Poisson process. Also, the service provides an exponential distribution. The server provides the service on an FCFS basis. In this article, two types of models are used: and which are the system’s conditions, where represents the number of units present in the queue in which their probability is and . All probabilities are distributed based on the speed of advent using this concept. Then, the steady-state probabilities are computed using a recursive approach. Findings: This paper discovers the number of clients using the system on average and the expected number of clients in the system using the probability of the steady-state calculation. Little’s formula is used to derive the expected waiting period of the clients in the system. Novelty: There are articles connected to the finite capacity of failed service in functioning and malfunctioning, but this takes the initiative to provide a link in connection with the rates of the controllable arrivals and interdependency in the arrival and service processes. Mathematics Subject allocation: 60K25, 68M20, 90B22. Keywords: M/M/1/K Queue Model, Finite Capacity, Breakdown, Controllable Arrival rates, FCFS Queue Discipline
Some Standard Seidel Energy Results of the Minimum Maximal Dominating Graphs
Authors:   Department of Mathematics, DRBCCC Hindu College, University of Madras, Chennai, 600072, Tamil Nadu, India, Manthiram Bramila , Annamalai Meenakshi
Published: March 2024

Objectives: Let be a finite and connected graph with β points and d edges. In this research, introduced the graph's minimum maximal dominating seidel energy ( and the properties of the latent roots of the given parameters are discussed. Method: In this research, the seidel energy of several graphs and its properties are investigated. Examined its minimum maximal limits and computed a few conventional seidel energy outcomes for the minimum maximal dominating graphs. Finding: Using the minimum maximal dominating seidel energy of graphs, significant outcomes were achieved for complete graphs, complete bipartite graphs, and star graphs. The properties of the class of graphs were computed. The established upper and lower bound is . Novelty: The seidel energy of the proposed research findings is used in various graphs based on the research. The fundamental characteristics of a graph, such as its energy upper and lower bounds, have been determined, and this knowledge has found notable chemical applications in the conjugated molecular orbital theory. Recommendations for future energy-related research are presented and examined. Keywords: Connected graph, Dominating set, Latent roots, Minimum maximal, Seidel energy
Sectioning Mouse Brain with Sliding Microtome v1
Authors: Ouellette Naveen , not provided daphne.toglia , Myers Holly
Published: March 2024

This is a protocol that details sectioning a mouse brain fixed in 4% PFA and 30% sucrose on a sliding microtome. This protocol details the microtome set up, the mounting of the brain on the microtome stage in OCT or 30% sucrose, slicing the brain with the microtome blade, microtome take down and clean up, and tissue section storage.
Fabrication of laser inscribed graphene (LIG) 3-electrode plug-and-play chip v1
Authors: not provided lcassoh , AM Moreira Geisianny , Tang Yifan , Vanegas Diana , S McLamore Eric
Published: March 2024

Laser inscribed graphene (LIG) is a versatile material that is commonly used to prepare electrochemical sensors (Moreira et al 2023). This protocol describes the fabrication of a 3-electrode plug-and-play chip system based on LIG. The design is compatible with a female USB-A connector which can be modified for connection to any potentiostat using the protocol here. The complete process requires approximately 60 min to complete, including fabrication of USB-A connector (Fig 1).
ANALYSIS OF THE LEBAK BULUS MRT TOD AREA, DKI JAKARTA, BASED ON CHALLENGES AND EXPECTATIONS OF CONVENIENCE ORIENTATION
Authors: Setiawan Zul
Published: March 2024

Transit-oriented development (TOD) is often defined in terms of mixed development that is close to and/or oriented toward mass transit facilities. General characteristics of TOD include urban cohesiveness, pedestrian and bicycle friendly, public spaces near stations, and stations designed to be community centers. The Lebak Bulus area is strategic and is quite popular as a terminal area that has the potential to support transportation between regions and between cities, as well as being a gathering point for community groups from various levels and backgrounds. In principle, the change in function of the terminal area to the TOD area is expected to have a positive impact on the behavior of public transportation users, although there are still some things that need to be improved. As a recommendation from this study, it is necessary to improve accessibility, such as by improving road and sidewalk conditions, as well as improving feeder transportation and parking services for private vehicle users. In addition, it is necessary to rearrange the environment around the station by optimizing the potential of buildings around the station, improving the quality of parks, pedestrians, and crossing areas, and considering the use of renewable energy. Increased security and safety (use of CCTV) also need attention. The implication of this research is that the TOD area must be built by taking into account the aspects of sustainability, the role of the community and stakeholders (government, developers, and the community) in the development of the TOD area is very important. By implementing the recommendations and implications of this research, it is hoped that the Lebak Bulus MRT TOD area of DKI Jakarta can develop optimally and provide maximum benefits for the community. Keywords: Transit Oriented Development, TOD, Lebak Bulus MRT, convenience
Diversity in White: An Autoethnographic Case Study of Experienced Diversity and (Un‐)Silencing
Authors: Alpagu Faime
Published: March 2024

Drawing on Sara Ahmed’s observation that the one who files a complaint ultimately becomes perceived as the problem, this article exposes the processes of silencing that occur within academia—particularly regarding issues of diversity, racism, and equality, while also exploring how un‐silencing can occur in such a context. Despite committing to diversity and equality, academic institutions and their decision‐making mechanisms are still largely led by white middle‐class individuals with little understanding of intersectional inequalities, thus (re)producing mechanisms that silence those who experience discrimination and inequality. I apply methods such as autoethnography and interpretive textual analysis to challenge dominant (diversity) narratives that perpetuate silencing. Based on memory notes and (in)formal correspondence, the article describes the long process of silencing after an initial experience of discrimination to reveal common institutional patterns and how complainants feel trapped in a labyrinth and consequently forced to “give up.”
Fighting for Space Within the Cis‐ and Heteronormative Public Sphere: An Analysis of Budapest Pride
Authors: Sipos Alexandra , Bagyura Márton
Published: March 2024

The article presents the urban space use of the LGBTQI+ community in a post‐socialist and illiberal country, Hungary, by focusing on the historical development of Pride marches within the capital. Examining these events’ routes, current regulations, and resistance related to Pride, the article observes acts of silencing and the disruption of silencing concerning the LGBTQI+ community. First, we rely on sexual and intimate citizenship studies (e.g., Plummer, 2003; Richardson, 2017) to highlight the public/private divide and related (in)visibility and human rights issues associated with the LGBTQI+ community within a cis‐ and heteronormative environment. Second, queer geography and the geography of sexualities are used to better understand the cis‐ and heteronormative environment within which sexual and gender minorities exist and operate. Regarding the Hungarian context, we assume that “a gradual extension of public space use” is present concerning the public events of the LGBTQI+ community in Hungary (Takács, 2014, p. 202). The article analyzes three aspects concerning the Pride parades held in Budapest through the 3R analytical lens and connected silencing and the disruption of silencing: the spatial routes of the Budapest Pride, related regulations, and the resistance to and of LGBTQI+ visibility in an urban setting. First, through maps, we visualize the routes of the Budapest Pride parades from 1997 to 2022 to understand how the visibility of LGBTQI+ and allies is constricted and regulated in the spatial dimension. Second, following the regulatory approach of the Budapest Pride organization, we focus on how the police ensure these events’ and attendees’ safety and whether cordons—physical symbols of division between participants, police, and bystanders or protesters—are necessary. The third aspect elucidates the resistance against and toward the visibility of LGBTQI+ people in the urban setting.
Noise Constraints on Global Body-Wave Measurement Thresholds
Authors: Ringler Adam T. , Wilson David C. , Earle Paul , Yeck William , Mason David B. , Wilgus Justin
Published: March 2024

Intermediate sized earthquakes (≈M4–6.5) are often measured using the teleseismic body-wave magnitude (mb). mb measurements are especially critical at the lower end of this range when teleseismic waveform modeling techniques (i.e., moment tensor analysis) are difficult. The U.S. Geological Survey National Earthquake Information Center (NEIC) determines the location and magnitude of all M 5 and greater earthquakes worldwide within 20 min of the rupture time, and therefore accurate mb magnitude estimates are essential to fulfill its mission. To better understand how network geometry and noise levels affect the global response capabilities, we developed a method to spatially estimate the minimum measurable mb. To do this, we compare expected mb amplitudes at every station to the station’s background noise level. We find that using NEIC’s current network geometry and these idealized thresholds, NEIC can potentially estimate mb magnitudes down to M 4.5 globally. Low-latitude regions in the Southern Hemisphere present the biggest opportunity to improve monitoring capabilities. However, logistically they also present the biggest hurdles for network operators. Finally, to test the resiliency of the network we removed the 20 most important stations and found the mb threshold remains mb 4.5. However, the region where only mb 4.5 and greater can be estimated increases and is again restricted to the Southern Hemisphere.
Kutadgu Bilig’deki Bazı İnanç ve İbadetle ilgili Terimlerin Türkiye Türkçesi Ağızlarına Yansımaları
Authors: DENİZ Sunay
Published: March 2024

Eski Türk inancıyla önemli ölçüde örtüşen İslamiyetin Türkler tarafından benimsenmesi, kabulü ve yaygınlaşmasıyla yeni bir döneme geçilmiştir. İlk Müslüman Türk devleti olan Karahanlılar Devleti döneminde resmen başlayan İslamlaşma hareketi ile İslami Türk Edebiyatının ilk eserleri verilmeye başlanmıştır. Bunlardan ilki ve en kapsamlısı Kutadgu Bilig’dir. Yusuf Has Hacip’in kaleme aldığı Kutadgu Bilig Tavgaç Buğra Han’a sunulmuş ve büyük ilgi görmüştür. Karahanlı Türkçesiyle kaleme alınmış bu dinî eserin kıymeti Türkler arasında günümüze kadar ulaşmıştır. Yeni din; yaşayışta, kültürde, edebiyatta, dilde, inançta, ibadette, alfabeye varana kadar her alanda birçok yeniliği de beraberinde getirmiş ve bu durum dönem eserlerine de belirgin bir şekilde yansımıştır. Eserde geçen inanç ve ibadetle ilgili sözcüklerin bir kısmı bugün Anadolu ağızlarında kullanılmaktadır.
Bu çalışmada, Kutadgu Bilig’de kullanılan inanç ve ibadet kavram alanıyla ilgili bazı sözcüklerin Türkiye Türkçesi ağızlarındaki görüntüleri araştırılmıştır. Eserde ele alınan sözcüklerin Türkiye’de Halk Ağzından Derleme Sözlüğü’nde yer alıp almadıkları, varsa türevleri, yapıları, ses ve anlam değişmeleri incelenmiştir.
Müze Ziyaretlerinde Eğitimde Dramanın Kullanımına Yönelik Öğretmen Görüşleri
Authors: KARAOSMANOĞLU Gökhan , KARA BİLGİN Filiz
Published: March 2024

Bu araştırmanın amacı öğretmenlerin müze gezilerinde kullandıkları yöntemleri ve stratejileri belirlemek, müzede dramanın müze gezilerinde kullanımına yönelik öğretmen görüşlerini ortaya koymaktır. Nitel araştırma deseniyle tasarlanan araştırmada farklı branşlardan 42 katılımcı çevrimiçi ortamda müzede dramanın kullanılması konusunda eğitim almışlar, sonrasında öğrencileriyle müze gezisi düzenlemişlerdir. Bu gezi sonrasında çevrimiçi ortamda hazırlanan “Öğretmenlerin Müze Gezilerinde Kullandıkları Yöntem ve Tekniklere Yönelik Görüşlerinin Belirlenmesi” formu katılımcılarla paylaşılmış ve formdaki soruların yanıtlanması beklenmiştir. 15 katılımcının verdiği yanıtlar betimsel analiz ile çözümlenmiştir. Araştırma sonuçlarına göre katılımcıların müze gezilerinde sanat eleştirisine yönelik stratejiler kullandıkları, müzedeki eserleri betimlemeye, yorumlamaya, analiz etmeye yönelik sorular sordukları görülmüştür. Katılımcıların doğaçlama, rol oynama, donuk imge, fotoğraf anı, dramatizasyon gibi drama stratejilerini kullandıkları, bu stratejileri seçerken öğrencilerin gelişim dönemi özelliklerini, ders konusunu ve kazanımları, müzenin olanaklarını göz önünde bulundurdukları görülmüştür. Farklı branştan öğretmenlerle gerçekleştirilen araştırmanın yalnızca tek bir branşa ya da yönteme, stratejiye yönelik yapılması önerilebilir.
Ekber Şah Devri Vakayinamelerinde Bir İdeolojik Unsur Olarak Timurlu Hanedan Soyunun İnşası
Authors: ORUÇ Cihan
Published: March 2024

Bâbür, Bâbürlü Devleti’ni kurarken Timurlu Hanedan soyunu meşruiyet kaynağı olarak görmüştü. Ancak ondan sonra tahta oturan Hümâyun, astrolojiden yararlanarak kozmolojik bir ideoloji inşa etmişti. Bu yeni ideoloji, hükümdarın otoritesinin zayıflamasına sebep olmuştu. Hümâyun’dan sonra devletin başına geçen Ekber Şah, otoriteyi tamamen ele aldıktan sonra merkezinde kendisinin olduğu kurumsallaşma sürecini başlatmıştı. Hükümdar merkezli bir ideoloji inşası, bu kurumsallaşma sürecinin bir parçası olmuştu. Ekber, devlet adamı Ebü’l Fazl el-Allâmî’ye Timurlu Hanedan soyuna dayanan bir ideoloji inşasını emretmişti. Ebü’l Fazl, Ekber ile haleflerinin meşruiyet kaynağını inşa etmek amacıyla kaleme aldığı meşhur Ekbernâme adlı eserinde Timurlu Hanedan ideolojisinin temelini atmıştı. Ekber tarafından görevlendirilen âlimlerden biri de Molla Ahmed Tetevî’dir. Müellif kaleme aldığı Tarih-i Elfî adlı eseriyle Timurlu Hanedan ideolojisinin inşasına katkı sunmuştu. Her iki müellif de bu inşa sürecinde siyasi, ilâhi ve efsanevî kişi ve olaylardan istifade etmişlerdi.
Tarih Boyunca Yerel ve Modernin Buluşması: Geleneksel Osmanlı – Macar Seramikleri
Authors: DİRİ APAYDIN Tuğba , KIZILASLAN Hatice
Published: March 2024

Tüm dünyada yeniliklerin ve teknolojik gelişmelerin ön plana çıktığı 19. yüzyıl, Macar sanatçılarını da hızlı bir dönüşüm içine çekmiştir. Bu dönemde kentleşme ve fabrikalaşmanın neticesinde sanatçılar değişen koşullara uyum sağlamak zorunda kalmıştır. Bu sanatçıların başında ise Balázs Badár ve Kalman Bozsik gelmektedir. Badar ve Bozsik bu dönemde Mezotur ve Kunszentmarton şehirlerinde eserleriyle pek çok sergiye katılarak hem Macaristan'da hem de dünyanın çeşitli ülkelerinde büyük bir başarı elde etmiştir. “Türkiye-Macaristan Dostluk Antlaşması’nın 100.Yılı” anısına ise bu iki sanatçının eserleri Macar Kültür Merkezinde, 1 Haziran – 2 Eylül 2023 tarihleri arasında “Yerel ve Modern: Macaristan’ın Güneyinden Seramik Sanatı” başlıklı bir sergiyle Türk izleyiciyle buluşturulmuştur. Makalede, düzenlenen sergi üzerinden Mezotur’da sanat faaliyetlerini gösteren Balázs Badár ve Kunszentmarton şehrinin önemli seramik sanatçısı Kalman Bozsik’in Macar yerel seramik üretimine katkıları anlatılmıştır. Bu iki sanatçının ürettiği seramiklerin Osmanlı seramik sanatı ile ilişkileri ayrıntılı bir şekilde irdelenmiştir. Makalenin son kısmında ise serginin düzeni ve işlenişinden bahsedilmiştir.
The impact of premenstrual disorders on work disruptions among working women: A cross-sectional study
Authors: Loukzadeh Ziba , Eslamy Nazila , Dehghan Marziyeh , Mehrparvar Amir Houshang
Published: March 2024

Background: Physical and emotional manifestations of premenstrual disorder cause increased absenteeism, decreased productivity, and decreased work-related quality of life.
Objective: Due to the relatively high prevalence of premenstrual disorders in Iran and limited studies on its work-related problems, this study investigated the relationship between premenstrual disorders and work performance in working women.
Materials and Methods: This cross-sectional study was conducted on 358 working women (teachers and industrial workers) in Yazd, Iran, from July 2019 to January 2020. Data were collected using premenstrual symptom screening tool, the work productivity and activity impairment (a modified version), and functional work capacity questionnaires. Women were classified into 2 groups: women with and without premenstrual disorders. Productivity, functional capacity, and ability to perform activities of daily living were compared between groups.
Results: Among 358 participants, 121 women (33.8%) had premenstrual disorders. The prevalence of premenstrual disorders was significantly higher in teachers than workers (0.41% vs. 24.7%, respectively) (p = 0.002). The work results showed a worse score in the group with premenstrual disorder than the other group and teachers compared to workers (p < 0.001).
Conclusion: This study showed a significant association between premenstrual disorders and worse work productivity, functional work capacity, and ability to perform activities of daily living. Teachers had a higher prevalence of premenstrual disorders and worse work performance than workers, which can be due to higher education levels, work stress, more complex tasks, and increased work responsibility in teachers.
 
Key words: Premenstrual syndrome, Premenstrual dysphoric disorder, Work performance, Working women, Productivity.