bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tornar-se terapeuta comportamental contextual: Habilidades e dicas para iniciantes
Authors: Leugi Guilherme Bergo 
Published: September 2024

Foram feitas descrições introdutórias de elementos conceituais importantes para terapeutas comportamentais contextuais. O objetivo é facilitar a aprendizagem desses elementos fundamentais, a partir de descrições simples em linguagem acessível. Foram tratadas oito habilidades consideradas importantes de serem desenvolvidas por terapeutas comportamentais contextuais iniciantes: 1) Ler o ambiente de terapia, o cliente e a si mesmo, a partir de uma visão funcional que inclui o comportamento verbal; 2) Verificar o ambiente, conhecer o mundo do cliente; 3) Construir e manter uma relação terapêutica proveitosa: primeiro ouvir e acolher com empatia, mas, logo, agir; 4) Estabelecer objetivos terapêuticos a partir de análises funcionais amplas ou molares, e não a partir de “comportamentos-problema”; 5) Avaliar concretização de objetivos terapêuticos: cliente muda o seu mundo, e parte desse mundo é você; 6) Conduzir as sessões privilegiando o caráter experiencial (Perguntar menos “porquês” e mais “comos”); 7) Tornar-se obsoleto; 8) Desenvolver outras habilidades constantemente por meio dos estudos e da “experiência de vida”. A ideia é que essas habilidades são subjacentes ao desenvolvimento de competências técnicas relevantes a quaisquer abordagens psicoterápicas comportamentais contextuais. A organização do trabalho foi pensada de modo que tais habilidades estivessem descritas como ações, permitindo que o contato com as sugestões aqui presentes também fosse em alguma medida experiencial. Este texto é um “pretexto” e se pretende base para desenvolver outras habilidades específicas de cada abordagem. Palavras-chave: psicoterapia comportamental contextual; análise comportamental clínica; treinamento de terapeutas; relação terapêutica; processos em psicoterapia.
TOXICITY TEST OF Eusideroxylon zwageri BARK EXTRACT BASED ON LIVER HISTOPATHOLOGY HYDROPIC DEGENERATION AND NECROSIS
Authors: Azminida Dhiya Salma , Firdaus I Wayan Arya Krishnawan , Utami Juliyatin Putri , Oktiani Beta Widya , Wydiamala Erida 
Published: September 2024

Background: Ironwood bark extract contains antioxidant properties such as flavonoids, phenolics, and proanthocyanidins, which can stabilize ROS in the body and help accelerate wound healing. The liver plays a role in nutrient metabolism, detoxification, and ROS production. The lack of antioxidants to neutralize excess ROS makes the liver vulnerable to damage. Purpose: This study aimed to determine that there was no toxic effect of giving ironwood bark extract (Eusideroxylon zwageri) doses of 1.250 mg/kg, 2.750 mg/kg, and 4.750 mg/kg on the liver of Wistar rats based on histopathological features of hydropic degeneration and necrosis. Methods: Pure laboratory experimental quantitative (true experimental) with a post-test-only research design with control group design and One Way Anova statistical test. Treatment was given to 4 groups, namely group (K) was given aquadest control, group (T1) was given ironwood bark extract at a dose of 1.250 mg/kgBW, group (T2) was given ironwood bark extract at a dose of 2.750 mg/kgBW, and group (T3) given ironwood bark extract at a dose of 4.750 mg/kgBW. Results: The results showed no significant difference between the four treatment groups based on the average percentage of hydropic degeneration and necrosis. Conclusion: There was no toxic effect of giving ironwood bark extract doses of 1.250 mg/kgBW, 2.750 mg/kgBW, and 4.750 mg/kgBW on the liver of Wistar rats based on histopathological appearance of hydropic degeneration and necrosis for 14 days.
The Impact of Managing Carbon Footprint Reduction and Sustainable Development in Airports on Tourism revenues
Authors: SHOGAA ASMAA ALI , BASIONY USAMA , ABOURIFAEI ZAKI ZAKI 
Published: September 2024

The objective of this study is to enhance policy and regulatory frameworks for airport operations and improve environmental quality at airports in preparation for the upcoming Green Airport initiative. Additionally, the study aims to support airports in achieving their environmental and governance goals, including net-zero targets. So, the Risk of Climate Change should be mitigated at airports to keep both the tourism environment and sustainable development. In addition, providing the Egyptian aerodromes with the preliminary guidelines for the preparation of the relevant Carbon Footprint to avoid any potential problem, explains the different technology for sustainable development and, providing the optimum solutions to manage the data used are primary and secondary data. The main objectives of this study are the sustainability of Egyptian airports. Sharm El-Sheikh International Airport was chosen as a model airport, and it is one of the most important airports in Egypt. The process of analyzing carbon footprint data to reduce it with green techniques and technology that are beneficial to tourists and compared to 2022, after using sustainable methods and technology, this resulted in reducing the carbon footprint of the airport and increasing green tools and technology for tourists. While secondary data is based on data collected from various agencies. In general, the study results show that the airport operator has given enough attention to the environmental management., The adoption of the Green Airport concept can provide airport operators with a sense of reassurance in managing airports, allowing them to improve their operational and environmental quality control systems. The Green Airport concept serves as a model for airport operators to ensure that their activities do not have adverse effects on the environment. Implementing the Green Airport concept can lead to an improvement in environmental quality, while significantly reducing environmental management costs. huge efforts regarding any issues related to impact of Climate Change at Airports, Tourism Environment and Sustainable Development are still yet to come; as well as increasing the research and development endeavor has in order to find the best ways and means to ensure a safe and clean sky to fly.
Keywords: Green Airport, Environmental Quality, Airports Carbon Accreditations, Carbon Calculator, Footprint Airports
Pore-Scale Simulation of the Effect of Wettability Alteration on Flow Transport Kinetics in 3D Natural Porous Media
Authors: Yang Yongfei , Li Haoyun , Tong Chunyu , Zhang Lei , Sun Hai , Zhong Junjie , Zhang Kai , Yao Jun 
Published: September 2024

Summary
Wettability alteration commonly occurs in subsurface two-phase displacements, such as enhanced hydrocarbon recovery, hydrogen storage, and carbon dioxide sequestration. A comprehensive understanding of two-phase flow transport kinetics during wettability alteration in natural rocks is essential for optimizing these processes. To address this, a wettability alteration model induced by low-salinity waterflooding (LSWF) was implemented based on the volume of fluid (VOF) method and the compressive continuous species transfer (C-CST) method in the OpenFOAM platform, which integrates the pore-scale two-phase fluid flow and the advection-diffusion of species. Following validation against experimental data from existing literature, extensive direct numerical simulations (DNSs) were conducted in an actual 3D sandstone sample obtained by microcomputed tomography (micro-CT) images. The effects of the wettability alteration degree, wettability alteration model, and capillary number on dynamic salt dispersion and fluid redistribution are considered in simulation works. The findings indicate that a higher wettability alteration degree facilitates the release of more oil trapped in smaller pores toward the outlet, while the mobilized oil might become trapped again due to snap-off in larger downstream pores. Moreover, due to the presence of alternative flow pathways in the system, the backflowed oil induced by heterogeneous salinity distribution might not be effectively recovered. A faster wettability alteration rate enhances the performance of LSWF because of the rapid reduction of entry capillary pressure and the delayed negative effect of salt dispersion. In terms of the capillary number, a higher capillary number accelerates the diffusion of species to the three-phase contact line and reduces the occurrence of snap-off retrapping, thereby increasing ultimate oil recovery. This study contributes to a deeper understanding of the microscopic displacement mechanism during the wettability alteration processes, especially for LSWF, in 3D heterogeneous porous media.
Cyclic Gas Injection in Low-Permeability Oil Reservoirs: Progress in Modeling and Experiments
Authors: Emami-Meybodi Hamid , Ma Ming , Zhang Fengyuan , Rui Zhenhua , Rezaeyan Amirsaman , Ghanizadeh Amin , Hamdi Hamidreza , Clarkson Christopher R. 
Published: September 2024

SummaryCyclic gas injection effectively enhances oil recovery for low-permeability oil reservoirs. Numerous theoretical, mathematical, and laboratory investigations have attempted to unlock underlying recovery mechanisms and optimal design for the cyclic gas injection in these reservoirs. While these investigations have shed light on various aspects of the process, different descriptions of key recovery mechanisms and optimal design parameters can be found in the literature. Many of these published studies consider conventional approaches and concepts, such as assuming advection-dominated fluid flow and mixing between injected gas and oil within the matrix, to simulate the process or conduct experiments. Under different reservoir and operational conditions, to be reviewed, one or a combination of mechanisms can be responsible for improving oil recovery. This review aims to critically examine the published modeling and experimental studies regarding the recovery mechanisms of gas cyclic injection and the conditions under which the process can enhance oil recovery. The review will identify lessons learned and areas in need of further research.
Newborn care practices at home and health facilities in Tigray, Ethiopia: a qualitative assessment
Authors: Abay Tedros Hailu , Hadush Marta Yemane , Berhe Amanuel Hadgu , Gebremariam Dawit Seyoum , Zelelew Yibrah Berhe , Beyene Selemawit Asfaw , Medhanyie Araya Abraha , Gebregziabher Fisseha Ashebir , Berhe Tirhas Asmelash 
Published: September 2024

Abstract

ABSTRACT
Background: The neonatal period is the most vulnerable age for child survival. In 2019, about half of all under-five mortality was contributed by the newborn deaths, which was estimated to be about 2.4 million deaths worldwide.1 In Ethiopia, the estimated neonatal mortality rate stands at 33 deaths per 1,000 live births.3 The study will outline newborn care practices both in homes and in the public health care system in Tigray.
Methods: The qualitative study employed two data collection methods, namely, focus group discussions and in-depth interviews. The study was conducted in five zones of the Tigray region. In all, 16 focus group discussions and 46 in-depth interviews were held with community representatives and health workers. Data were transcribed and then analyzed using the ATLAS.ti software for thematic coding using an inductive approach. Themes identified were discussed in detail prior to coding.
Result: The community perspective shows that there is enough knowledge regarding basic newborn care and harmful traditional practices; however, practices have not been resolved. Active engagement of parents, especially mothers, in facility-based care is socially and economically limited. Health Professionals' Perspective: Weight measurements for home births, as opposed to those in facilities, are not regularly carried out, with many newborn babies not having their weight measured. There are missed home births despite having a home birth notification framework in place. HEWs conduct postnatal care via routine home visits; however, there is weak continuum of care and referral feedback from hospitals. Besides these, widespread shortages of electricity and phototherapy machines and community awareness for care of preterm and LBW babies were noted. Parents' experiences are shaped by the forces of economic insecurity and social issues.
Conclusion: The improvement of newborn care practices at home and health facilities is an important milestone that the Ethiopian Federal Ministry of Health is seeking to achieve as it works toward the reduction of the neonatal mortality rate. This feat will be realized at the facility level when actionable strategies, resource commitments, strengthening of the HEP, and health education are implemented.
A Novel Capsule Network with Attention Routing for Text Classification
Authors: Zhang Weisheng , Miao Shengfa , Yu Qian , Wang Jian , Li Huibo , Wang Ruoshu 
Published: September 2024

Abstract

Convolutional Neural Networks(CNNs) and Recurrent Neural Networks (RNNs) often neglect the relationship between local and global semantics in text. In contrast, capsule networks encode word position information and multi-level semantic information using vector capsules and capture the relationship between local and global semantics through dynamic routing. However, capsule networks commonly neglect contextual information during capsule generation. Moreover, complex dynamic routing in capsule networks results in significant computational cost during training and evaluation. Therefore, we introduce AARCapsNet, a novel capsule network with attention routing for text classification. AARCapsNet incorporates two well-designed routings: self-attention routing and fast attention routing. Self-attention routing encodes contextual information into semantic capsules while suppressing noisy capsules. Fast attention routing adaptively learns the connection relationship between semantic capsules and class capsules, which offers a cost-effective alternative to intricate dynamic routing. Experiments on five benchmark datasets demonstrate that our proposed method achieves competitive performance.
Research on Multitask Model Introducing Self Attention Mechanism and Random Noise Learning in Autonomous Driving
Authors: Yang jie , Lu chengyu , Dan HanFU , Li XiaoLi 
Published: September 2024

Abstract

The multitask models currently used in visual based autonomous driving scenarios face difficulties in model convergence, high training costs, and poor robustness in the process of learning sample features. This paper proposed a new multi task visual model in autonomous driving, which introduced a self-attention mechanism and integrated denoising modules. The model used convolutional structure and self-attention mechanism to extract features from input images, and added denoising elements to the decoder structure of the backbone network. To achieve denoising in various tasks, random noise and simulation experiments were conducted to simulated the distribution of real data. The experimental results show that the new model performs well on multiple autonomous driving tasks, with higher accuracy and inference speed than traditional models. For example, the accuracy of target detection tasks had been improved by 4.3%, the segmentation accuracy of road scenes had been improved by 3.6%, and depth estimation could be performed. At the same time, the training time had been reduced by 60%. This research could provide new ideas and methods for multi task learning in the field of autonomous driving.
Experimental Study of an X-Y Pneumatic Position Control System Using a Smart Control Algorithm
Authors: ABDELAZEM Amr ABDELMOHSEN NOURELDIEN , Bassily Magdy A. , Tawfeic Shehab R. 
Published: September 2024

Abstract

The X-Y position control of pneumatic systems has several applications such as (CNC equipment, Pick-and-Place Systems, Material Handling, and Inspection Systems). This paper deals with experimental work of X-Y pneumatic test rig for positioning control purpose, for controlling the position of the pneumatic cylinders two controller algorithms are used in this paper. The first control is a new Approaching Index Switching Algorithm (AISA) for controlling the position of the pneumatic system the second controller is Proportional -derivative (PD) controller. AISA is designed to switch between two different sets of controls based on an index value. The control of the flow rates by Flow Control Valve (FCV), control of servomotor, and also the control of the position sensor is a key parameter in determining the performance of the pneumatic cylinder position. It depends on the goals and mission requirements for launching it. The experimental results show that the AISA is faster than the PD controller by (31.8 % to 38.15%) without overshooting for X-axis and Y-axis respectively. The ASIA is more accurate than the PD controller by (83.33% to 70.79%) for X-axis and Y-axis respectively. All the desired specifications of the system such as error, stability, and power consumption are robustly satisfied under AISA.
The influence of graded nitrogen levels and accumulated growing degree days on the tuber yield of the heat-resistant/tolerant potato variety Kufri Surya
Authors: Mishra Ashok , Ghosal Debasish , Mishra Ananya , Das Swarnalata , Behera Laxmipreeya , Mohapatra Sanjukta , Behera Subrat Kumar , Patnaik Anjana , Sasmal Arundhati , Biswal Gayatri 
Published: September 2024

Abstract

The effect of varying doses of nitrogen (0, 75, 150, 225, and 300 kg ha− 1) on the tuber yield and economic outcomes of the potato variety Kufri Surya was investigated at the All India Coordinated Research Project on Potato, Odisha University of Agriculture & Technology, Bhubaneswar, Odisha, India, during the winter seasons over a five-year period from 2013-14 to 2017-18. The experimental site featured sandy-loam soil with a pH of 5.2 and an electrical conductivity (EC) of 0.297 dSm− 1. The experiment utilized a randomized block design with four replications. The crop was planted in November and harvested in January/February, 75 days post-planting. Phosphorus (P2O5) and potassium (K2O) doses were kept consistent across all treatments. Cumulative growing degree days (GDD) were calculated by summing daily mean temperatures above the base temperature, expressed in degree days. Among the different nitrogen treatments, 225 kg N ha− 1 yielded the highest mean tuber yield of 21.21 t ha− 1, along with net returns of Rs. 88,350 ha− 1 and a benefit-cost (B:C) ratio of 1.71. The 225 kg N ha− 1 dose produced significantly higher tuber yields compared to the 150 kg N ha− 1 dose recommended for Odisha. Although applying 300 kg N ha− 1 resulted in higher yields than 225 kg N ha− 1 during the initial two years, this trend did not continue. The mean yield with 300 kg N ha− 1 was significantly lower than with 225 kg N ha− 1. There was a gradual increase in tuber yield from 0 kg N ha− 1 to 75 kg, 150 kg, and 225 kg ha− 1. The results clearly indicate the necessity of increasing the recommended nitrogen dose from 150 kg ha− 1 to 225 kg ha− 1 for Odisha, particularly in sandy-loam soils. It was observed that the combination of lower GDD and lower bright sunshine hours (BSH) of 397 hours led to the lowest helio-thermal units (HTU) of 3888.9, resulting in the highest tuber yield with maximum heat use efficiency (HUE) of 371.3g°C days− 1 hrs− 1 and helio-thermal use efficiency (HTUE) of 6.0.
Effects of processing parameters on elements segregation behavior and crystallographic orientation of Ni-based superalloys in laser additive manufacturing
Authors: Yao Lei , Shang Lian-qi , Chen Shao-feng , Cao Liang , Liang Jing-jing 
Published: September 2024

Abstract

The effect of process parameters on the polarization of alloying elements and crystallographic orientation was explored. The results show that the degree of elemental segregation decreases with increasing scanning rate, and the degree of segregation rather increases with increasing deposition height. The microstructures of all specimens consisted mostly of columnar grains grown epitaxially along the deposition direction, showing a clear <001> orientation weave. The increase in scanning rate weakened the epitaxial growth effect of the crystals, and the strength of the weave in the <001> direction was significantly weakened. In addition, the actual growth direction of the dendrites is not strictly parallel to the printing direction, but tilted towards the laser scanning direction, resulting in a significant deflection angle from the printing direction. Based on the synergistic effect of local temperature gradient and grain-optimized orientation, a composite temperature gradient model is established in combination with numerical simulation of the temperature field to rationally explain this phenomenon. The fundamental reason for the deflection of the growth direction of the dendrites is that the direction of the composite temperature gradient deviates from the deposition direction, and the transverse temperature gradient is larger after increasing the scanning rate, thus the deflection angle is larger.
Depression, Anxiety, Stress, Sleep Quality, and Life Satisfaction among Undergraduate Medical Students in Gaza Strip: A Cross-Sectional Survey
Authors: Aldabbour Belal , Jaradat Roa , Aljbour Omar , Abdu Mahmoud , Aljbour Jumana , Dayya Alaa Abo , Asad Mohammad Dabbour , Abuabada Amal 
Published: September 2024

Abstract

Background:The medical study is demanding. Medical students are known to suffer above-average rates of depression, anxiety, stress, poor sleep, and life dissatisfaction. In turn, these disorders lower the students’ quality of life and negatively impact their performance. Little is known about the prevalence of these disorders among medical students in the Gaza Strip, which is an area marred by chronic conflict and poverty.Methods:This cross-sectional study assessed medical students at the two medical schools located in the Gaza Strip. Students were randomized according to university, sex, and academic level. Screening employed the DASS21, PSQI, and SWLS instruments. Categorical variables were described by count and percentages. Potential predictors of poor sleep quality were assessed by binary logistic regression. Multivariable logistic regression was implemented to determine the effect of covariates. Ordinal logistic regression was used to investigate predictors of anxiety, stress, depression, sleep quality, and SWLS stage. Statistical significance was set at a two-sided p-value less than 0.05.Results:In total, 362 medical students participated. Different stages of depression, anxiety, and stress symptoms were prevalent in 69%, 77.3%, and 65.2% of students, respectively. Poor sleep quality was prevalent in 77.9% of students. Also, 46.1% of medical students were dissatisfied with their lives. Poor sleep quality was associated with higher rates of all-stage anxiety, stress, and depression in univariate regression and with higher odds of moderate anxiety and mild, moderate, and extremely severe depression in multivariable regression.Conclusions:Medical students in the Gaza Strip suffer from high rates of depression and anxiety symptoms, stress, poor sleep, and life dissatisfaction compared to medical students from several other countries and the pooled global prevalence reported in meta-analysis studies.