bluuebunny/crossref_metadata_2025 huggingface dataset:
Un deseo utópico para un tiempo distópico: la lentitud de un posporno feminista en Solange Rodríguez Pappe
Authors: García Víctor Lorenzo
Published: February 2025

Cet article étudie une forme de post-pornographie présente dans “Un hombre en mi cama” (2018), un conte dystopique de l'Équatorienne Solange Rodríguez Pappe. Ce post-porno se fonde sur la contemplation érotique, par des femmes, d'images et de vidéos d'hommes endormis. En opposition au porno traditionnel, on soutiendra que son ralentissement peut permettre un plaisir de jouissance plus libre pour les femmes, en même temps qu'il signifie une adaptation à la lenteur imposée par la post-apocalypse dystopique. Grâce à cette post-pornographie, une crise affective, qui a autant besoin de solutions que la crise climatique, est mise en évidence.
Contemplación y écfrasis.Una repartición de los tiempos en El nervio óptico de María Gainza
Authors: Santander Jesús
Published: February 2025

Este artículo se propone establecer una analogía entre el tiempo operativo (ho nyn kairós) y el elemento narrativo de la pausa descriptiva en El nervio óptico de María Gainza en tanto que novela autoficcional. Mediante la close reading y el análisis narratológico de esta novela se demuestra que la pausa descriptiva junto con las anacronías efectúan una repartición de los tiempos y sitúa el tiempo operativo en pie de igualdad frente al cronológico, lo que da a ver la dimensión política de las narraciones autodiegéticas y su resistencia ante la productividad de los discursos contemporáneos.
El registro aremborrochivadado: documento y entorpecimiento temporal, en En el ojo de Bambi (2020), de Verónica Gerber Bicecci
Authors: Aparicio Vega Sánchez
Published: February 2025

Verónica Gerber Bicecci, en su trabajo En el ojo de Bambi (2020), se sitúa en el límite entre el arte y la literatura y plantea una curaduría narrativa o cuento curatorial, donde las obras del museo seleccionadas orquestan el relato de una catástrofe medioambiental y tecnológica, y cuya composición recurre a estrategias como la reescritura, la apropiación (o desapropiación [Rivera Garza, 2013]), el remix, la intervención o el montaje. Se trata, entonces, de una práctica de escritura con el propio lenguaje donde la autora suspende el relato, lo acelera o aplaza, dando lugar a una inscripción de sus relaciones textuales y temporales.
Tremor management
Authors: Sirisena Darshana
Published: February 2025

"Five Key Practice Aspects" is a thoughtfully curated series of articles authored by expert neurologists to distill and highlight the most critical facets of everyday clinical practice within various neurology subspecialties. Each article in this series identifies and elaborates on the five most essential considerations in the diagnosis and management of neurological conditions, combining robust evidence-based insights with the seasoned clinical experience of specialists in the field. The goal of this series is to serve as a concise yet comprehensive reference that caters to both the trainee seeking foundational knowledge and the seasoned neurologist looking for a practical refresher. By focusing on the aspects that are most relevant and actionable in real-world practice, this series offers a streamlined guide that supports informed decision-making across diverse clinical scenarios. Designed for ease of access and utility, "Five Key Practice Aspects" is a portable resource for busy clinicians who need reliable information on the go. Whether navigating complex cases or honing subspecialty skills, this series aspires to become an indispensable companion in the pursuit of excellence in neurological care.
Effectiveness of non-pharmacological interventions to reduce internalized stigma in people with severe mental illness: a systematic review and meta-analysis
Authors: Kim Soyoung , Bae Sun Hyoung , Hyun Myung-Sun
Published: February 2025

Purpose: This study systematically reviewed and analyzed the effects of non-pharmacological interventions on internalized stigma among people with severe mental illness.Methods: A systematic review and meta-analysis were conducted following the Cochrane Intervention Research Systematic Review Manual and Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. This study targeted people with severe mental illness as the population, interventions aimed at reducing internalized stigma, comparisons with control groups, and internalized stigma as the outcome. A literature search was performed across multiple databases, including PubMed, EMBASE, the Cochrane Library, CINAHL, PsycArticles, RISS, KMbase, and KoreaMed. The risk of bias was evaluated using the Cochrane Risk of Bias 2.0 tool. Effect sizes were computed using Hedges’s g, and subgroup analyses were conducted with Comprehensive Meta-Analysis software version 4.0.Results: Of 2,388 papers, 15 were included in the meta-analysis. The overall effect size (Hedges’s g) of the intervention was –0.60 (95% confidence interval, –1.01 to –0.19), indicating a statistically significant reduction in internalized stigma (Z=–2.88, p=.004). Subgroup analyses revealed that the intervention type (p=.008) and session length (p=.011) were significant moderators influencing the effectiveness of the interventions.Conclusion: Tailoring interventions by considering variables such as the intervention type and session length could enhance the effectiveness of non-pharmacological interventions for reducing internalized stigma among people with severe mental illness (PROSPERO: CRD42023418561).
Standardised indexes reduce the variability of masticatory muscles electromyographic values
Authors: Rosati Riccardo , Carmagnola Daniela , Pellegrini Gaia , Henin Dolaji , Vella Massimiliano , Dellavia Claudia
Published: February 2025

In dentistry, surface electromyography (sEMG) is currently used in both clinical and research fields to study the electrical activity of the masticatory muscles, such as the anterior Temporals and Masseters, which are easily accessible. Due to biological and technical factors that can alter the capture of the sEMG signal, comparing recordings obtained from the same subject at different days, with electrode replacement, can be challenging, thus complicating inter- and intra-subject sEMG comparisons. In the present study, sEMG activity of the masticatory muscles during maximum teeth clenching was simultaneously recorded using two different electrode configurations (A and B) to simulate different electrodes positioning as may occur between appointments. Raw sEMG signals and standardised indexes based on acquisitions from configurations A and B were compared. The position of the electrodes significantly affected the sEMG raw potentials of the masticatory muscles during maximum teeth clenching, while standardised indexes were not influenced by electrode positioning.
Vaginal bleeding in early pregnancy at a regional-level emergency department in KwaZulu-Natal
Authors: Maseko Mthunzi , Pillay Seelan , Govender Jaykumaran
Published: February 2025

Background: Vaginal bleeding in early pregnancy (VBIEP) affects between 15% and 25% of all pregnancies worldwide and it portends life-threatening gynaecological emergencies. One of the core functions of an emergency medicine physician is to recognise critical illness and institute high-quality emergency care. This study aimed to describe the demographics, clinical presentation, management and outcomes of patients with VBIEP presenting to the emergency department (ED).Methods: Retrospective descriptive data were collected on all patients presenting to the ED of General Justice Gizenga Mpanza Regional Hospital (GJGMRH) with VBIEP between 01 January 2022 and 30 April 2022.Results: The most affected group comprised multiparous women, in the first trimester of pregnancy between the ages of 25 and 29 year. Among HIV-positive participants majority (40.9%) were aged 35–39 years of age. Majority (87%) of patients had received no prior antenatal care. Incomplete miscarriage was the most (46.1%) common diagnosis made in the ED. Most (61.7%) patients from the ED required admission to the hospital for further care.Conclusion: This study showed that multiparous women in their first trimester of pregnancy are at highest risk of VBIEP. It also highlighted early antenatal care and early use of point-of-care ultrasound may prevent and improve outcomes with VBIEP. Incomplete miscarriage was the commonest cause. A standardised management protocol for these patients should be developed, however larger studies must be conducted to validate this.Contribution: This study contributes to the limited literature on VBIEP in low to middle-income countries and the findings may influence the department of health’s allocation of resources to this condition.
Beyond the heart: Understanding the systemic impact of cardiomyopathies
Authors: Elsaka Omar
Published: February 2025

Cardiomyopathies are heart muscle diseases with systemic consequences beyond their impact on cardiac function. This review explores their diverse manifestations in organs, such as the lungs, liver, kidneys, muscles, brain, blood, hormones, gastrointestinal system and mental health. We examined the underlying mechanisms contributing to these effects, including decreased cardiac output, neurohormonal activation and systemic inflammation. However, further investigation is required to fill this knowledge gap. Finally, we discuss novel therapies targeting systemic effects and personalised medical approaches to improve patient outcomes and quality of life.
Prevalence of anaemia and its risk factors among undergraduates of a medical institute
Authors: Joshi Archana M. , Akhtar Shamim S. , Reddy Kalyani Raman , Hatte Srushti K.
Published: February 2025

Background:

Anaemia is a widespread public health concern that affects nations across the development spectrum, encompassing developing and developed countries. Its implications extend beyond human health and affect social and economic development. Although anaemia is a globally significant issue, research on its prevalence in late adolescence remains limited.

Aims:

To assess the pervasiveness of anaemia and its related issues among medical institute undergraduates in Nagpur.

Materials and Methods:

This cross-sectional study was conducted with 150 students from the department of pathology. A structured questionnaire was used to gather information, and blood samples were thoroughly analysed.

Results:

The observed prevalence of anaemia was 17.3%. Among the notable risk factors, a significant association was established between anaemia and factors such as menstrual flow (P = 0.028) and daily sanitary pad usage during menstruation (P = 0.028). In contrast, handwashing before food consumption showed a potential protective effect (P = 0.056). In addition, handwashing after using the toilet (P = 0.042), skipping meals (P = 0.002) and jaggery consumption (P = 0.025) were identified as protective factors.

Conclusion:

Anaemia was prevalent in the research’s assembly at 17.3%. Menstruation, improper hygiene practices, meal skipping, decreased iron and jaggery intake and the total amount of pads used each day before menstruation were identified as risk indicators. Engaging in personal hygiene habits such as washing hands before eating and after using the toilet has been identified as a preventive measure.
Inhaled Pentamidine for Bolivian Mucosal Leishmaniasis
Authors: Soto Jaime , Gutiérrez Patricia , Soto Paula , Escobar Julio , Paz David , Rivero Daniela , Villalba Aracely , Berman Jonathan
Published: February 2025

Aerosolized pentamidine is Food and Drug Administration approved to treat Pneumocystis pneumonia via a route that does not lead to systemic absorption or toxicity. Because Leishmania is also susceptible to pentamidine and mucosal leishmaniasis is also an infection of the respiratory tract, we performed a pilot study of aerosolized pentamidine (300 mg for 10 days over approximately 4 weeks) for mucosal leishmaniasis caused by Bolivian Leishmania braziliensis with a 2-year follow-up. Of 15 patients, 6 of 7 patients with initially mild disease were cured, 3 of 4 patients with initially moderate disease relapsed at the 18- to 24-month follow-up visits, and 3 of 4 patients with initially severe disease failed early after treatment. This study suggests that inhaled pentamidine may be useful as a well-tolerated treatment of mild mucosal leishmaniasis and that to rule out relapse, mucosal leishmaniasis follow-up should extend to 2 years.
Study of Different Types of Ventilation and Cooling Systems of Bulb
Hydrogenerators in a Three-Dimensional Setting
Authors: Tretiak Oleksii , Arefieva Mariia , Makarov Pavlo , Serhiienko Serhii , Zhukov Anton , Shulga Iryna , Penkovska Nataliia , Kravchenko Stanislav , Kovryga Anton
Published: February 2025

The Object of research in the article is the ventilation and cooling
system of bulb hydrogenerators. The Subject of study in the article
is the design and efficiency of using the cooling system of various structural
types for bulb hydro units. The Purpose of the work is to carry out
a three-dimensional study of two cooling systems (axial and radial) of the bulb
hydro unit of the Kanivskaya HPP with a rated 22 MW. Research Tasks
include analysis of the main design solutions for effective cooling of bulb-type
hydrogenerators, in particular, the use of radial, axial, and mixed cooling
systems; formulation of the main assumptions for the three-dimensional
ventilation and thermal calculation of the bulb hydrogenerator; carrying out a
three-dimensional calculation for a hydrogenerator with axial ventilation;
determining airflow speeds in the channels and temperatures of active parts of
the hydrogenerator under the conditions of using discharge fans and without
them; carrying out a three-dimensional calculation for a hydrogenerator with
radial ventilation; determining airflow speeds in the channels and temperatures
of the active parts of the hydrogenerator. As a result of the
study, the main constructive solutions of cooling systems of bulb
hydrogenerators were considered. On the basis of scientific developments, two
main ventilation systems were formed and their functioning was considered on the
example of the hydro unit of the Kanivska HPP. Using a three-dimensional study,
a comparison of the efficiency of axial and radial ventilation systems was
carried out. It was found that the forced axial system with two fans is the most
optimal and reliable for removing heat from heat-generating elements, ensuring
long-term operation and the necessary speeds in the cooling channels. This
research makes a significant contribution to improving the efficiency of the
cooling systems of bulb hydrogenerators, which is critical for their reliable
and trouble-free operation.
Toward a Methodology for Safety—Performance Trade-Off Analysis for
Connected Automated Vehicles Supported by a Smart Infrastructure
Authors: Fornaro Gianfilippo , Törngren Martin , Gaspar Sánchez José Manuel
Published: February 2025

Introducing connectivity and collaboration promises to address some of the safety
challenges for automated vehicles (AVs), especially in scenarios where
occlusions and rule-violating road users pose safety risks and challenges in
reconciling performance and safety.

This requires establishing new collaborative systems with connected vehicles,
off-board perception systems, and a communication network. However, adding
connectivity and information sharing not only requires infrastructure
investments but also an improved understanding of the design space, the involved
trade-offs and new failure modes.

We set out to improve the understanding of the relationships between the
constituents of a collaborative system to investigate design parameters
influencing safety properties and their performance trade-offs. To this end we
propose a methodology comprising models, analysis methods, and a software tool
for design space exploration regarding the potential for safety enhancements and
requirements on off-board perception systems, the communication network, and AV
tactical safety behavior. The methodology is instantiated as a concrete set of
models and a tool, exercised through a case study involving intersection traffic
conflicts.

We show how the age of information and observation uncertainty affect the
collaborative system design space and further discuss the generalization and
other findings from both the methodology and case study development.
Experimental Case Study of Sonic Perception of a First-Generation
Electric Truck
Authors: Nyman Birgitta , Fagerlönn Johan , Nykänen Arne
Published: February 2025

The sound generated by electric propulsion systems differs compared to the
prevalent sound generated by combustion engines. By exposing listeners to
various sound situations, the manufacturer can start understanding which
direction to take to achieve compelling battery electric vehicle trucks from a
sound perspective.

The main objective of this study is to understand what underlying aspects decide
the experience and perception of heavy vehicle–related sounds in the context of
electrified propulsion. Using a thematic analysis of data collected at a
listening experiment conducted in 2020, factors affecting the perception of
novel sounds generated by a first-generation electric truck are investigated. A
hypothesis is that the experience of driving or being a passenger in electric
trucks will affect the rating and response differently compared to listeners not
yet experienced with this sound.

The results show that the combination of individual preference and experience,
hearing function, acoustic content, time variation, signal stability,
load-dependent feedback, and situation-equivalent sounds affect the outcome. The
assessment and rating of quality and acceptance did not differ between battery
electric truck experienced listeners and first-time listeners in general. The
only driving condition clearly breaking this pattern was the auxiliary brake
condition, which, besides being significantly higher rated by novel listeners,
also stood out as the highest-rated and most positively commented driving
operation overall.

In conclusion, several combined factors affect the assessment of electric truck
sounds. Three identified aspects are removing disturbing sounds, making the
sound environment smooth and silent, and providing clear functional feedback.
Memory of the contextual experience is a key factor when assessing sounds from
driving operations. The expected difference between listeners with and without
experience with electric truck sounds will be minor unless there is
exceptionally high sound quality.
Temperature-Dependent Analysis of the Tire–Road Interaction
Characteristics for a Passenger Car Tire Using Finite Element
Analysis
Authors: Fathi Haniyeh , El-Sayegh Zeinab , Ren Jing
Published: February 2025

In this article, a finite element analysis for the passenger car tire size
235/55R19 is performed to investigate the effect of temperature-dependent
properties of the tire tread compound on the tire–road interaction
characteristics for four seasons (all-season, winter, summer, and fall). The
rubber-like parts of the tire were modeled using the hyperelastic Mooney–Rivlin
material model and were meshed with the three-dimensional hybrid solid elements.
The road is modeled using the rigid body dry hard surface and the contact
between the tire and road is modeled using the non-symmetric node-to-segment
contact with edge treatment. At first, the tire was verified based on the tire
manufacturer’s data using numerical finite element analysis based on the static
and dynamic domains. Then, the finite element analysis for the rolling
resistance analysis was performed at three different longitudinal velocities (10
km/h, 40 km/h, and 80 km/h) under nominal loading conditions. Second, the
steady-state traction analysis with the corresponding angular velocities of the
mentioned longitudinal velocities range was carried out. In addition, a series
of transient traction analyses were performed under 40 rad/s angular velocity
(corresponding with the 50 km/h longitudinal velocity). The results show that
the temperature plays a key role in the final value of the rolling resistance
coefficient. Moreover, the longitudinal stiffness of the tire during the
traction performance was investigated based on the various ambient temperatures,
and it was observed that tire traction is very sensitive to the
temperature-dependent properties of the tread compound.
Risk Assessment Model for Highway Accidents Using Bayesian
Random-Parameters Regression Model
Authors: Feng Shi , Wang Zichen , Liu Shaoweihua , Wang Feng , Zhang Yujie , Luo Xi
Published: February 2025

This paper presents a highway accident risk assessment model based on a Bayesian
random-parameters logit model, aiming to evaluate the effects of real-time
traffic conditions on crash risks on freeways. By incorporating random
parameters to account for variations in the impacts of traffic variables across
different freeway segments, the model offers greater flexibility and
adaptability compared to traditional fixed-parameters logit models. The study
utilizes traffic flow data collected from the Hangzhou-Shanghai-Ningbo
expressway over a 14-month period, analyzing factors such as traffic density,
average vehicle speed, and lane-changing frequency. The estimation process
employs Markov Chain Monte Carlo (MCMC) methods, including Gibbs sampling and
Metropolis-Hasting algorithms, to ensure model convergence and stability.
Empirical results demonstrate significant impacts of these traffic variables on
crash risks and successfully identify key variables with random effects,
enhancing the accuracy of crash risk predictions. This study provides a
theoretical foundation and technical support for the development of real-time
crash warning systems, contributing to improved highway traffic safety
management.
Deep Learning-Based Road Spill Detection Technology
Authors: Gao Xiaofei
Published: February 2025

Rapid identification and cleanup of road debris are essential for enhancing
traffic safety and ensuring unobstructed road conditions. Traditional detection
methods often face challenges in accurately identifying debris in complex
environments with varying light and weather conditions. To address these
limitations, this study proposes a deep learning-based road debris detection
method designed for improved accuracy and robustness. First, road images are
processed using a semantic segmentation approach to remove background
information, isolating only the drivable areas. This segmented region is then
subjected to further object detection to filter out typical non-debris objects,
such as vehicles, pedestrians, and non-motorized vehicles, thereby retaining a
focused image that only contains potential debris or spill objects. Lastly, the
processed image is compared to a baseline image to detect differences and
identify road debris with high precision. Through these steps, the proposed
method achieves accurate detection of road debris even in challenging
environmental conditions. Experimental results validate the model’s
effectiveness, indicating that it provides a reliable solution for debris
recognition, ultimately offering robust technical support for intelligent
traffic management systems aimed at promoting safer, cleaner, and more efficient
roads.
Research on Map Matching Method Based on Road Geometric
Features
Authors: Zhang Hongbin , Zhang Xu
Published: February 2025

For the mismatching defects of vertical projection method, this paper proposes an
improved map matching algorithm based on road geometric features. For GNSS data,
static repeated data is eliminated, dynamic high frequency data is compressed by
light bar method. For network map data, extract motorized road segment, break
road segment curve at the turning point, and establish network topology
relationship. During map matching, determine the candidate road segment through
the circular error area, and determine the matching path through the heading
angle, connectivity and projection distance, and determine the projection points
through the historical trajectory and driving speed. The effectiveness of the
proposed algorithm is verified by case study.
Research on Map Matching Method Based on Hidden Markov
Model
Authors: Zhang Hongbin , Zhang Xu
Published: February 2025

For the matching defects of the map matching algorithm based on geometry
information or topological information, this paper studies a global matching
algorithm based on hidden Markov model and Viterbi algorithm. The candidate
segments are selected based on the error circle area, the observation
probability is calculated by the distance error and the direction error, the
transition probability is calculated based on the distance similarity and the
variation trend of distance error, the implicit state sequence of the highest
probability (i.e., the best matching track) is calculated by Viterbi algorithm.
Experimental results verify the effectiveness of the proposed algorithm.
Modeling Internal Node Impedance in High-Speed Rail Passenger Hubs
Based on Queuing Theory
Authors: Zhang Zhenyu , Wang Jian
Published: February 2025

High-speed railway (HSR) hubs play a pivotal role in the integrated transport
system, efficiently connecting various modes of transport and facilitating
transport integration. Characterized by their large scale, complex functional
spatial layouts, and diverse interchange types, these hubs see a growing
proportion of passenger traffic annually. Thus, studying the interchange
impedance in high-speed railway passenger transport hubs is crucial for
enhancing interchange efficiency and service quality. However, current research
lacks a quantitatively comparable impedance model for high-speed railway hubs,
particularly under peak passenger flow conditions. This paper addresses this gap
by examining the internal node impedance at Nanjing South Railway Station,
focusing on the entry gate turnstile node and security check node. It begins by
analyzing passenger passing behavior at these nodes and then constructs a
integrated queuing model for inbound gates and security checks, considering the
interdependencies between these systems. The model parameters are calibrated,
and operational indices are calculated using survey data from the case station.
The findings reveal that the security check service node is a critical point in
the joint queuing system. The results of the study can inform improvements in
the operational and management efficiency of high-speed railway hub
stations.
An Integrated Lane Change Control Method for Freeway Segments with
Lane Drop in a Connected Mixed Traffic Environment
Authors: Ma Yuheng , Guo Xiucheng , Zhang Yiming , Cao Jieyu
Published: February 2025

Segment with lane drops are very important in freeway systems since they are
major constrains to traffic flow and safety. The frequency of capacity
reductions and higher safety risks is proportional to an increase in
lane-changing actions, which worsen traffic congestion, decrease road capacity,
and increase the risk of an accident. Traditional traffic management strategies
that rely on physical structures and driver’s decision making often fail under
such conditions. This paper provides a detailed lane change control strategy
specific to freeway segments with lane reduction in the connected and autonomous
vehicle (CAV) environment. The strategy combines both centralized and
decentralized techniques to improve the vehicle’s lane-changing behavior and
density. A cellular transmission model of lane-level is proposed for the
centralized control of the linked vehicles based on the ratio of the driver
compliance. The model derives the density equation and transforms the
lane-changing problem before the work zone into merging traffic flow problem.
The optimization model is developed based on the total trip time, density
deviation, and total lane changes, with constraints on the cell reception
capacity and lane changing ratios. Control parameters for lane change
distribution are identified using genetic algorithms to solve the problem. For
the decentralized control, a reinforcement learning solution is introduced which
uses deep Q-networks (DQN) to improve lane-changing actions. The reward function
takes into account the traffic efficiency and the impact of lane changing, and
the continuous action space is discretized for application. The control
mechanism is evaluated by the simulation of a work zone scenario that includes
two restricted lanes on the Shanghai-Nanjing Expressway. It also shows that
there is an improvement of 3% to 6% in traffic flow and velocity as compared to
single-strategy approaches. The collaborative control strategy significantly
enhances traffic flow and reduces congestion at bottlenecks and offers valuable
information for future traffic control in CAV environments.
Fleet Sizing and Relocation Strategies for Shared Autonomous Vehicles
under Uncertainty: A Two-Stage Robust Optimization Approach
Authors: Li Kangjiao , Cao Yichi , Zhou Bojian , Wang Shuaiqi , Yu Yaofeng
Published: February 2025

Shared autonomous vehicles systems (SAVS) are regarded as a promising mode of
carsharing service with the potential for realization in the near future.
However, the uncertainty in user demand complicates the system optimization
decisions for SAVS, potentially interfering with the achievement of desired
performance or objectives, and may even render decisions derived from
deterministic solutions infeasible. Therefore, considering the uncertainty in
demand, this study proposes a two-stage robust optimization approach to jointly
optimize the fleet sizing and relocation strategies in a one-way SAVS. We use
the budget polyhedral uncertainty set to describe the volatility, uncertainty,
and correlation characteristics of user demand, and construct a two-stage robust
optimization model to identify a compromise between the level of robustness and
the economic viability of the solution. In the first stage, tactical decisions
are made to determine autonomous vehicle (AV) fleet sizing and the initial
vehicle distribution. In the second stage, operational decisions are made under
scenarios of fluctuating user demand to optimize vehicle relocation strategies.
To enhance the efficiency of model resolution, the original two-stage robust
optimization model is decomposed into separable subproblems, which are
transformed using duality theory and linearization. An effective solution is
achieved through a precise algorithm utilizing column-and-constraint generation
(C&CG). Numerical experiments are conducted on a small-scale network to
validate the effectiveness of the model and algorithm. Furthermore, adjustments
to the demand fluctuation scenarios are made to assess the impact of uncertain
budget levels Γ on the total revenue of SAVS. This research provides AV sharing
service operators with an optimal relocation scheduling strategy that balances
robustness and economic efficiency.
Truck Overload Warning and Risk Assessment Method Based on In-Vehicle
System Data
Authors: Chen Yuguang , Lin Honghao , Wang Yanan
Published: February 2025

Overloading of trucks will not only damage road infrastructure, lead to exhaust
pollution, and even cause serious traffic accidents, resulting in huge losses of
life and property. However, most of the methods to evaluate truck overloading
are limited by environmental factors, so it is impossible to monitor truck
overloading in real time. In order to solve this problem, a truck overload
detection method based on real-time vehicle diagnosis big data is proposed in
this paper. The method comprehensively considers multiple factors affecting the
actual power of trucks through mathematical modeling. It based on the effects of
overload on fuel combustion efficiency, harmful gas emission, exhaust
temperature, and vehicle power loss, The truck overload evaluation model is
constructed to judge whether the truck is overloaded or not in real time. Based
on the truck overload assessment and truck accident risk factor extraction , a
real-time operation risk assessment model based on fault tree analysis is
developed to evaluate the safety of overloaded and non-overloaded trucks. The
fault tree model is mapped to a Bayesian network model and transformed into
equivalent network model by Netica software. The network model is analyzed
qualitatively and quantitatively, and the key factors that have great influence
on the accidents, such as bad driving conditions, dangerous driving behavior and
poor visibility. This research enhances the traffic management department's
ability of monitoring and early warning of truck overloading, strengthens the
deterrence and efficiency of overload control measures, helps to reduce the
occurrence of overloading. This ultimately improves road transport safety,
reduces exhaust emissions and environmental pollution caused by overloading.
Peculiarities of accounting and analytical support of discontinued operations of a commercial organization
Authors:   Emperor Peter I Voronezh State Agrarian University, Galikova Natalia B. , Zhuravleva Tatiana A. ,   OSCO Group Services
Published: February 2025

Introduction. The study of partial or complete businesses liquidation is essential for understanding market dynamics, risk management, and developing strategies for the sustainable development of enterprises in uncertain conditions.

The article aims to study the peculiaritie of accounting for discontinued operations of the enterprise.

Materials and Methods. Scientific research in accounting, financial analysis and management, as well as literature on accounting and financial management, accounting standards, and legislative acts related to the liquidation and termination of enterprises, were analyzed.

Results of the study. To create a valuation liability for discontinued operations, it is necessary not only to develop a detailed plan for “going out of business” but also to make all interested parties (dismissed employees, labor unions, counterparties, etc.) aware of it. Information on discontinued operations should be reflected in the explanatory notes to the balance sheet and the statement of financial results, and in the case of a bankrupt company, in our opinion, in the report of the bankruptcy trustee.

Conclusion. Creating and implementing unified international accounting standards for discontinued operations can ensure consistency and transparency in financial reporting, allowing a more accurate reflection of enterprises’ financial situations.
Adaptation and Evaluation of SF1 Future Pump for Irrigation Purposes
Authors: Ilmi Abu Dedo , Aliyi Abduselam , Adugna Roba
Published: February 2025

This study focuses on adapting and evaluating the SF1 Future Pump for small-scale agriculture. The experiment was conducted at Jimma Agricultural Engineering Research Center and Bulbul River. The treatments considered for the experiments were three and five different with a combination of suction and deliver head (4m, 6m, and 8m) and (4m, 6m, 8m, 10m, and 12m) respectively. The parameters used during the investigation were head, flow rate, Voltage Discharge, and Solar radiation. Assesses performance under varying heads, examining factors such as flow rate, efficiency, and the impact of solar radiation. Based on the experiment, the pump has been delivering a maximum flow rate of 28.21L/min and a minimum of 15.85L/min at the combination head 4SH4HD, and 8SH12HD respectively. The minimum voltage and current to operate the system were 25 volts and 1.35 amps respectively. The pump efficiency was increased as the dynamic heads were decreased. Results reveal an inverse relationship between head and flow rate, while voltage and current positively influence flow rate
Modification and Performance Evaluation of AAERC Tractor Drawn Wheat seed drill
Authors: Kabaradin Abulasan , Tashome Abdissa , Tsagaye Ashebir , Wayessa Degefa , Tafa Wabi
Published: February 2025

A large number of tractors with 60 to 180 horsepower have been distributed to farmers to increase farm mechanization and enable increases in crop yield. To boost crop yield at the farm level, agricultural tools and equipment like tractor-drawn seed drill is crucial in combination with these tractors. Therefore, by increasing of seed drill’s size, the developed tractor-drawn wheat seed drill can be made more suitable for all tractors, increasing both the machine's capacity and efficiency. This experiment was conducted to design, construct and assess the performance of a prototype wheat seed drill proficient of sowing wheat seeds and fertilizer is applied according to predetermined row spacing and depths. A frame, a seed hopper, seed measuring tools, a seed tube/spout, an adjustable furrow opener, and drive wheels were included in the development of the seed drill machine. The effectiveness has been assessed in relation to the rate of seed and fertilizer, row spacing, seed placement depth, number of plants/stand, field capacity, field efficiency, labor cost, ownership, and operating expenses. A randomized complete block design was employed for the experiment, with three replications, three hopper fill levels, and three operating speeds. There were no Percent of visible and invisible mechanically seed damaged by the seed drill for at all speed and it indicated that there was no decrease in percent sprouting of the seeds when compared with germination percentage of the seed recommended by seed supplier. The fertilizer and seed rates were calibrated at 125 and 150 kg/ha, respectively, for row spacing of 20 cm and 5 cm depth as per wheat agronomic requirement. The machine has been assessed at speed of operation of 3, 4, and 5 km/hr, with hopper filling levels of H50, H75, and H100. Both hopper filling level and forward speed of the seed drill had significant influence on fertilizer and seed rate at p < 0.05. Therefore, the optimal operating speed should be restricted to no more than 3 km/hr. The average field capacity, field efficiency, and fuel consumption were 0.44 ha/hr, 89.1% and 3.6 l/hr at speed of 4 km/hr. Based on the performance evaluation findings, it concludes that farmers can utilize the developed seed drill to sow wheat efficiently, effectively, and economically.
ANGAŽOVANJE STUDENATA I PARTICIPACIJA U VANNASTAVNIM AKTIVNOSTIMA
Authors:   Univerzitet u Nišu, Filozofski fakultet, Ćirić Marina
Published: February 2025

Savremeno obrazovanje nije moguće sagledati bez relacionih odnosa unutar
njegovog sistema. U domenu visokog obrazovanja relacije se ogledaju u međuodnosu
kontekstualnih činilaca, izbora i obaveza na nivou studenata, nastavnika i visokoškolskih
institucija. S tim u vezi, sve se više ispituje studentski angažman, shvaćen kao relacioni
odnos studenata, odnosno učestalost i nivo posvećenosti učenju, aktivnostima i interak-
cijama koje ostvaruju, a institucionalnih prilika kojima se podstiče angažovanje. Cilj
istraživanja predstavlja ispitivanje međuodnosa angažovanja studenata i njihove partici-
pacije u vannastavnim aktivnostima tokom procesa studiranja. Na uzorku 514 studenata
sa šest fakulteta Univerziteta u Nišu primenjeni su upitnici o angažovanju (The College
Student Report, 2020) i participaciji u vannastavnim aktivnostima (Pravilnik o vredno-
vanju vannastavnih aktivnosti studenata, 2017). Spirmanovim koeficijentom korelacije
u svakoj od vannastavnih aktivnosti identifikovana je povezanost sa određenim pokaza-
teljima angažovanja. Premda postoje statističke značajnosti, smer korelacija, odnosno
negativan predznak, ukazuje na to da je angažovanje izraženije kod studenata koji nisu
učestvovali ili ne žele da učestvuju u vannastavnim aktivnostima koje se organizuju na
fakultetu na kojem studiraju. Izostanak interesovanja studenata za vannastavne aktivno-
sti kao i slabija akademska postignuća studenata koji u njima participiraju proističe iz
okolnosti gde su angažman i vannastavne aktivnosti neusklađene. Jedan od razloga leži
u činjenici koja se proteže kroz rezultate ovog istraživanja, a to je (preveliko) opterećenje
studenata predispitnim i ispitnim obavezama. Samim tim, njihovo nastavno angažovanje
isključuje sticanje vannastavnih iskustava učenja i razvoja. Valorizacija vannastavnih
aktivnosti preduslov je za svaki vid unapređivanja u ovoj oblasti.
PERSONALITY DIMENSIONS AND SOCIAL VARIABLES: PREDICTORS OF CIGARETTE SMOKING AND ALCOHOL CONSUMPTION IN ADOLESCENCE
Authors:   Serbian Academy of Innovation Sciences, Belgrade, Serbia, Ivanović Miroljub
Published: February 2025

The main aim of this research was to examine the contribution of personal traits
and social variables to predicting the frequency of cigarette and alcohol use by adolescent
participants. Two questionnaires were used on the pertinent sample of IV grade elementary
school students (N = 268), 18 ± 1.76 years of age: Big five inventory (BFI) and Role of
parents and friends questionnaire. The calculated Cronbach’s alpha coefficient indicated
satisfactory internal consistency of the applied measuring instruments. Approximately 70%
of adolescents do not smoke cigarettes, and 64% of them do not consume alcohol. Correlation
analysis showed statistically significant correlation between the majority of variables. The
results of hierarchical regression analysis, with the p-value ≤ .01, have shown that predictors
explain 26% of total criterion variance (frequency of cigarette smoking), and 27% of total
criterion variance (frequency of alcohol consumption). Thereat, the following variables have
statistically significant independent contribution to cigarette smoking: gender, neurosis,
openness to experiences, cigarette smoking – parents, and friends’ reaction to cigarettes,
while the best predictors of alcohol consumption by adolescents are agreeability, alcohol
consumption – friends, and friends’ reaction to alcohol consumption. The obtained data
bring insight to the significance of insufficiently explored relations between social factors
and personality traits and cigarette and alcohol use by adolescents. The results have been
discussed within the context of current empirical and theoretical material as well as practical
implications for operationalization of the examined regression.
THE USE OF TRADITIONAL DHSP BALI YOGA AND MEDITATION PRACTICES ON REDUCING BLOOD GLUCOSE LEVELS
Authors: Setiabudi Agung , Agastya Punia I Gede Eka Agung , Setiani Putu , Puspita Lussy Ayu , Manggala Kadek Satya
Published: February 2025

The practice of yoga and meditation at Dharma Hidup Singin Prana Bali has a deep meaning in maintaining physical and mental balance, as well as supporting mental health in the midst of the dynamics of modern life. Yoga has been shown to be effective in helping to manage blood sugar levels through meditation and yoga practices. This study uses quantitative research methods, specifically using a quasi-experimental design with pre-test and post-test, to assess the results before and after the intervention for the purpose of evaluating blood sugar levels from the results of yoga and meditation exercises. Descriptive analysis of 32 samples showed that the mean glucose values after the intervention showed a decrease. Statistical analysis of Kolmogorov-Smirnov pre-test with P = 0.183 data showed normal and homogeneous distribution. The test of the difference in the results of the pre-test and post-test research using the Paired sample T-test analysis with 95% confidence showed significance = 0.000 Because the significance result of 0.000 which means < 0.001 where 0.001<0.05 so that there is a statistically significant difference. Traditional Dhsp Bali yoga and meditation exercises involving breathing exercises, postures and Yoga have been shown to be effective against the balance and decrease of glucose levels in the blood.
Kajian Potensi Sosial Ekonomi dan Budaya Desa Melalui Pendekatan Pemetaan Sosial dan Pemangku Kepentingan (Studi Kasus: Desa Pucung Kidul, Desa Sanggarahan, Desa Boyolangu, Desa Gandingan, Desa Tawangsari)
Authors: Hapsari Reni Sri , Hakim Annisa Nurul , Riza Ahmad Ibnu
Published: February 2025

Kajian ini dilakukan untuk peningkatan pengembangan masyarakat melalui sistem perencanaan yang didasari atas pemetaan pemangku kepentingan (stakeholder), potensi penghidupan berkelanjutan, dan masalah sosial yang diarahkan untuk mencapai tujuan dan target Sustainable Development Goals (SDGs). Data primer yaitu informasi dari responden terkait masalah, potensi, dan keterlibatan pemangku kepentingan, sedangkan data sekunder yang menjadi bahan dalam kajian yaitu informasi profil desa dan ekspos media masa tahun 2024. Metode yang digunakan dalam penelitian ini yaitu mix method dimana pendekatan kuantitatif dan kualitatif yang digunakan secara bersamaan. Hasil penelitian menunjukkan bahwa dari Desa Sanggarahan memiliki nilai lebih potensial, dengan aspek yang paling dominan yaitu sumber daya alam (4,01) memadai yang ditandai dengan banyaknya masyarakat yang berprofesi sebagai petani dan pembudidaya ikan. Aset modal infrastruktur (3,89) memadai yang di buktikan bahwa tidak adanya jalan putus ataupun kerusakan infrastruktur dalam kategori yang tidak bisa dimanfaatkan. Kemudian aset modal sosial (3,85) memadai yang dibuktikan dengan partisipasi masyarakat tinggi dan banyaknya peluang-peluang pengembangan wisata sejarah. Aset modal sumber daya manusia (3,26) cukup memadai yang ditandai dengan sebagian besar penduduk lulusan SMA/SMK pada saat tahun 90an. Aset modal  finansial (3,19) cukup memadai, hal ini dibuktikan dengan tidak adanya masyarakat yang kelaparan dan putus sekolah akibat kekurangan ekonomi.
Implementasi komunikasi organisasi dalam mendukung Kinerja karyawan pt. Ams medika healthcare
Authors: Dewi Ni Nyoman Cipta , Bani Deviana Dorce , Kartini Ni Ketut
Published: February 2025

Komunikasi merupakan faktor penting bagi organisasi, karena tanpa adanya komunikasi organisasi tidak berjalan dengan efektif. PT AMS Medika Healthcare merupakan perusahaan yang bergerak di bidang layanan kesehatan. Penelitian dengan judul implementasi komunikasi organisasi dalam mendukung kinerja karyawan  PT. AMS Medika Healthcare bertujuan untuk mengetahui implementasi komunikasi organisasi dalam mendukung kinerja karyawan PT. AMS Medika Healthcare. Pendekatan penelitian menggunakan kualitatif. Subjek penelitian sebanyak lima orang. Teknik pengumpulan data menggunakan observasi, wawancara dan dokumentasi. Teknik analisis menggunakan deskriptif kualitatif. Hasil penelitian menunjukkan bahwa implementasi komunikasi organisasi di PT. AMS Medika Healthcare memiliki dampak yang signifikan terhadap kinerja karyawan. Komunikasi vertikal yang efektif, baik dari manajemen kepada karyawan maupun sebaliknya. Sehingga dapat disimpulkan bahwa implementasi komunikasi organisasi di PT. AMS Medika Healthcare memiliki dampak yang signifikan terhadap kinerja karyawan.
Menjelajahi Dampak Teknologi Apple Terhadap Efektivitas Pembelajaran: Analisis Tematik Tentang Motivasi, Kolaborasi, dan Produktivitas
Authors: Yulinda Irma
Published: February 2025

Penggunaan perangkat Apple sebagai penunjang pembelajaran telah diimplementasikan secara luas di 37 negara di dunia, memberikan dampak signifikan terhadap efektivitas pembelajaran siswa. Penelitian ini bertujuan untuk mengeksplorasi pengaruh motivasi, kolaborasi, dan produktivitas terhadap efektivitas pembelajaran melalui penggunaan perangkat Apple, khususnya pada siswa kelas 3–5. Subjek penelitian melibatkan 8 siswa dan 3 guru yang bekerja dalam ekosistem Apple. Penelitian ini menggunakan pendekatan kualitatif dengan analisis tematik. Data dikumpulkan melalui kuesioner daring menggunakan Typeform, observasi tiga kelas, dan wawancara semi-terstruktur dengan tiga guru. Hasil analisis menunjukkan bahwa penggunaan teknologi Apple secara konsisten meningkatkan motivasi siswa, memperkuat kolaborasi dalam aktivitas pembelajaran, dan meningkatkan produktivitas baik untuk siswa maupun guru. Temuan ini juga mengungkap bahwa desain teknologi Apple yang intuitif dan mendukung diferensiasi pembelajaran berperan penting dalam menciptakan pengalaman belajar yang efektif dan sesuai dengan kebutuhan individu siswa. Penelitian ini menawarkan kontribusi teoretis dan praktis bagi para pendidik, terutama di tingkat K-12, baik di sekolah yang berlabel Apple Distinguished Schools (ADS) maupun sekolah lainnya yang memanfaatkan teknologi dalam proses pembelajaran. Pada akhirnya, rekomendasi untuk optimalisasi pengajaran berbasis teknologi turut disajikan dalam penelitian ini.