bluuebunny/crossref_metadata_2025 huggingface dataset:
Synergising Simulated Annealing and Generative Adversarial Network for Enhanced Wind Data Imputation in Climate Change Modelling
Authors: Bhattacharjee Soumyabrata , Gugliani Gaurav Kumar
Published: March 2024

Climate models help us simulate and predict how the Earth’s climate is going to change in the future. Wind speed data is critical for developing and validating such models. However, in the real world, often owing to many factors such as station maintenance and sensor failures, a considerable amount of wind data goes missing. The Generative Adversarial Network (GAN) has been used to impute missing wind data, but the handling of unrealistic GAN output has remained largely unstudied. In this paper, we propose a novel hybrid approach that combines both the GAN and dual annealing algorithms to not only impute missing wind speed data but also counter unrealistic GAN outcomes. The hourly mean wind data has been collected from the National Centers for Environmental Information for four Indian stations, viz. Ahmedabad, Indore, Mangaluru and Mumbai. We compared the performance of the proposed approach with those of k-nn, soft imputation, and plain GAN-based approaches on mean, variance, standard deviation, kurtosis, skewness, and R-square. We found that our approach ranks number one based on the R-square value for all the considered stations. Our model consistently produces realistic results, unlike plain GAN. We observed that Mumbai has the lowest percentage of missing data (13.14%) and the highest R-square value (0.9999186451). However, Indore has the highest percentage of missing data (46.6463%) and the lowest R-square value (0.9046885604).
Disruption in Agricultural Pattern Due to Unpredictable Weather Conditions and its Effect on Farmer’s Family of Kishanganj District of Bihar
Authors: Soz Saifuddin , Raza Md. Shahid
Published: March 2024

The unpredictable weather conditions due to climate change have resulted in significant changes in global weather patterns, affecting various sectors across the world; mostly the agriculture sector which got affected. This study focusses on the changing agricultural patterns caused by climate change and their severe effects on farmers’ livelihoods in the Kishanganj District of Bihar. The purpose of this study is to look at the dynamic interaction between changing weather patterns and agricultural practices and the socioeconomic implications for the local farming community. This study intends (1) to explore farmers’ perceptions and their experience of climate change towards agricultural practices, (2) to understand the adaptive techniques used by farmers in the Kishanganj district of Bihar in response to altering the agricultural patterns, (3) to assess the socioeconomic consequences of shifting agricultural patterns on farmers’ lives. Through a comprehensive literature review and primary data collection, including in-depth interviews with local farmers, to discover variations in agricultural patterns, changing weather patterns, and changes in farming practices adopted by the farmers in response to unpredictable weather conditions. From the findings of this study, it is revealed that the agricultural sector in Kishanganj is extremely vulnerable to unpredictable weather patterns, such as severe droughts, unseasonal rainfall, and temperature variations. The changing weather patterns have resulted in significant crop loss, which resulted in lower agricultural production, less income, and more debt for farmers’ families. The negative effects of weather-related disruptions extend beyond economic factors, affecting both farmers’ families and food security.
A mathematical model of temperature distribution along the length of the oil production well
Authors: Shahbazova Shahnaz N. , Rzayev Ab.G. , Asadova R.Sh. , Jabiyev K.M.
Published: March 2024

The paper gives a systems analysis in the field of heat transfer and temperature distribution (TD) along the length of oil production wells (OPW). The analysis shows that the existing mathematical models are suitable only for determining TD along the length of casing string (CS) and are not suitable for determining TD along the length of the tubing run, since the existence of the interfacial (between the CS and the tubing) annulus of the fluid and gas layers with heat capacity and thermal conductivity that differ significantly from the heat capacity and thermal conductivity of rocks surrounding the CS. Given the above, mathematical models taking into account the impact of the fluid and gas layers in the annulus on the heat transfer from the upward fluid flow to the tubing wall and from the wall to the interfacial annulus are developed. To ensure the technological effectiveness of the obtained model, formulas for quantitative estimation of the heat transfer of the fluid flow into the surrounding environment are given.
Fuzzy convolutional neural network model applied to classification problems
Authors: Gonzalez Claudia I. , Torres Cesar
Published: March 2024

This paper presents an approach incorporating fuzzy logic techniques inside a convolutional neural network to manage uncertainty present in the multiple data sources that the model handles when training. The implementation considers the use of information and filters in the fuzzy spectrum, as well as the creation of a new layer to replace the traditional convolution layer with a fuzzy convolutional layer. The aim is to design artificial intelligence algorithms that combine the potential of deep convolutional neural networks and fuzzy logic to create robust systems that allow modeling the uncertainty present in the sources of data and that are applied to classification problems. The fuzzification process is developed using three membership functions, including the Triangular, Gaussian, and S functions. The work was tested in databases oriented to traffic signs, due to the complexity of the different circumstances and factors in which a traffic sign can be found.
Human activities recognition from video images by using convolutional neural network
Authors: Wang Dan , Yao Jingfa , Zhang Yanmin
Published: March 2024

Nowadays, automatic human activity recognition from video images is necessary for monitoring applications and caring for disabled people. The use of surveillance cameras and the processing of the obtained images leads to the achievement of a smart, accurate system for the recognition of human behavior. Since human detection in different scenes is associated with many challenges, several approaches have been implemented to detect human activity from video image processing. Due to the complexity of human activities, background noises and other factors affect the detection. For the solution of these problems, two deep learning-based algorithms have been described in the current article. According to the convolutional neural networks, the LSTM + CNN method and the 3D CNN method have been used to recognize the human activities in the images of the video. Each algorithm is explained and analyzed in detail. The experiments designed in this paper are performed by two datasets: the HMDB-51 dataset and the UCF101 dataset. In the HMDB-51 dataset, the highest obtained accuracy for CNN + LSTM method was equal to 70.2 and for method 3D CNN equal to 54.4. In the UCF101 dataset, the highest obtained accuracy for CNN + LSTM method was equal to 95.1 and for method 3D CNN equal to 90.8.
Machine learning prediction of concrete frost resistance and optimization design of mix proportions
Authors: Dai Jinpeng , Zhang Zhijie , Yang Xiaoyuan , Wang Qicai , He Jie
Published: March 2024

This study explores nine machine learning (ML) methods, including linear, non-linear and ensemble learning models, using nine concrete parameters as characteristic variables. Including the dosage of cement (C), fly ash (FA), Ground granulated blast furnace slag (GGBS), coarse aggregate (G), fine aggregate (S), water reducing agent (WRA) and water (W), initial gas content (GC) and number of freeze-thaw cycles (NFTC), To predict relative dynamic elastic modulus (RDEM) and mass loss rate (MLR). Based on the linear correlation analysis and the evaluation of four performance indicators of R2, MSE, MAE and RMSE, it is found that the nonlinear model has better performance. In the prediction of RDEM, the integrated learning GBDT model has the best prediction ability. The evaluation indexes were R2 = 0.78, MSE = 0.0041, MAE = 0.0345, RMSE = 0.0157, SI = 0.0177, BIAS = 0.0294. In the prediction of MLR, ensemble learning Catboost algorithm model has the best prediction ability, and the evaluation indexes are R2 = 0.84, MSE = 0.0036, RMSE = 0.0597, MAE = 0.0312, SI = 5.5298, BIAS = 0.1772. Then, Monte Carlo fine-tuning method is used to optimize the concrete mix ratio, so as to obtain the best mix ratio.
A novel rolling bearing fault diagnosis method for limited data
Authors: Sun Haibin , Zhang Wenbo
Published: March 2024

The ability of deep learning based bearing fault diagnosis methods is developing rapidly. However, it is difficult to obtain sufficient and comprehensive fault data in industrial applications, and changes in vibration signals caused by machine operating conditions can also hinder the accuracy of the model. The problem of limited data and frequent changes in operating conditions can seriously affect the effectiveness of deep learning methods. To tackle these challenges, a novel transformer model named the Differential Window Transformer (Dwin Transformer), which employs a new differential window self-attention mechanism, is presented in this paper. Meanwhile, the model introduces a hierarchical structure and a new patch merging to further improve performance. Furthermore, a new fault diagnosis model dealing with limited training data is proposed, which combines the Auxiliary Classifier Generative Adversarial Network with the Dwin Transformer(DT-ACGAN). The DT-ACGAN model can generate high-quality fake samples to facilitate training with limited data, significantly improving diagnostic capabilities. The proposed model can achieve excellent results under the dual challenges of limited data and variable working conditions by combining Dwin Transformer with GAN. The DT-ACGAN owns superior diagnostic accuracy and generalization performance under limited sample data and varying working environments when compared with other existing models. A comparative test about cross-domain ability is conducted on the Case Western Reserve University dataset and Jiang Nan University dataset. The results show that the proposed method achieves an average accuracy of 11.3% and 3.76% higher than other existing methods with limited data respectively.
SCS-YOLOv5s: A cattle detection and counting method for complex breeding environment
Authors: Weng Zhi , Bai Rongfei , Zheng Zhiqiang
Published: March 2024

Cattle detection and counting is one of the most important topics in the development of modern agriculture and animal husbandry. The traditional manual monitoring methods are inefficient and constrained by factors such as site. To solve the above problems, a SCS-YOLOv5 cattle detection and counting model for complex breeding scenarios is proposed. The original SPPF module is replaced in the YOLOv5 backbone network with a CSP structured SPPFCSPC. A CA (Coordinate Attention) mechanism is added to the neck network, as well as the SC (Standard Convolution) of the Neck network is replaced with a light convolution GSConv and Slim Neck is introduced, and training strategies such as multi-scale training are also employed. The experimental results show that the proposed method enhances the feature extraction ability and feature fusion ability, balances the localization accuracy and detection speed, and improves the use effect in real farming scenarios. The Precision of the improved network model is improved from 93.2% to 95.5%, mAP@0.5 is improved from 94.5% to 95.2%, the RMSE is reduced by about 0.03, and the FPS reaches 88. Compared with other mainstream algorithms, the comprehensive performance of SCS-YOLOv5 s is in a leading position, with fewer missed and false detections, and the strong robustness and generalization ability of this model are proved on multi-category public datasets. Applying the improvement ideas in this paper to YOLOv8 s also yields an increase in accuracy. The improved method in this study can greatly improve the accuracy of cattle detection and counting in complex environments, and has good real-time performance, so as to provide technical support for large-scale cattle breeding.
Natural language command parsing for agricultural measurement and control based on AMR and entity recognition
Authors: Yuan Weihao , Yang Mengdao , Gu Hexu , Xu Gaojian
Published: March 2024

There is scope to enhance agricultural measurement and control systems user interactivity, which typically necessitates training for users to perform specific operations successfully. With the continuous development of natural language semantic processing technology, it has become essential to augment the user-friendliness of multifaceted control and query operations in the agricultural measurement and control sector, ultimately leading to reduced operation costs for users. The study aims to focus on command parsing. The proposed AMR-OPO semantic parsing framework is based on the natural language understanding method of Abstract Meaning Representation of Rooted Markup Graphs (AMR). It transforms the user’s natural language inputs into structured ternary (OPO) statements (operation-place-object) and converts the corresponding parameters of the user’s input commands. The framework subsequently sends the transformed commands to the relevant devices via the IoT gateway. To tackle the intricate task of parsing instructions, we developed a BERT-BiLSTM-ATT-CRF-OPO entity recognition model. This model can detect and extract entities from agricultural instructions, and precisely populate them into OPO statements. Our model shows exceptional accuracy in instruction parsing, with precision, recall, and F-value all measuring at 92.13%, 93.12%, and 92.76%, correspondingly. The findings from our experiment reveal outstanding and precise performance of our approach. It is anticipated that our algorithm will enhance the user experience offered by agricultural measurement and control systems, while also making them more user-friendly.
RETRACTED: ERRRT-A*: A fast path planning algorithm suitable for large-scale scenes
Authors: Zhang Lixin , Yin Hongtao , Li Ang , Hu Longbiao
Published: March 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
RETRACTED: BISFT- two-dimensional breakdown clinical image seperation and fusion technique using CNN
Authors: Pradeepkumar G. , Kavitha S.
Published: March 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
The effect of the re-segmentation method on improving the performance of rectal cancer image segmentation models
Authors: Lei Jie , Huang YiJun , Chen YangLin , Xia Linglin , Yi Bo
Published: March 2024

BACKGROUND: Rapid and accurate segmentation of tumor regions from rectal cancer images can better understand the patientâs lesions and surrounding tissues, providing more effective auxiliary diagnostic information. However, cutting rectal tumors with deep learning still cannot be compared with manual segmentation, and a major obstacle to cutting rectal tumors with deep learning is the lack of high-quality data sets. OBJECTIVE: We propose to use our Re-segmentation Method to manually correct the model segmentation area and put it into training and training ideas. The data set has been made publicly available. Methods: A total of 354 rectal cancer CT images and 308 rectal region images labeled by experts from Jiangxi Cancer Hospital were included in the data set. Six network architectures are used to train the data set, and the region predicted by the model is manually revised and then put into training to improve the ability of model segmentation and then perform performance measurement. RESULTS: In this study, we use the Resegmentation Method for various popular network architectures. CONCLUSION: By comparing the evaluation indicators before and after using the Re-segmentation Method, we prove that our proposed Re-segmentation Method can further improve the performance of the rectal cancer image segmentation model.
Feasibility and outcomes of a community-based, mobile health system-monitored lifestyle intervention in chronic stroke: A pilot study
Authors: Kim Juhee , Bae Young-Hyeon , Ho Seung Hee , Lee Hyungjoo , Park Hyukyoung
Published: March 2024

BACKGROUND: People with disabilities face challenges in daily life during the COVID-19 pandemic, including limited access to care, exposure to lifestyle-related diseases, and difficulties in regular exercise. Therefore, it is important to establish health safety nets using Information and Communication Technology (ICT) in communities. OBJECTIVE: This study aimed to develop an m-Health-based personalized lifestyle intervention algorithm targeting high-risk groups of lifestyle-related diseases (including hypertension, diabetes, and obesity) among people with hemiplegic disabilities, and to verify its feasibility. METHODS: Six people at a high risk of lifestyle-related diseases participated in an 8-week lifestyle intervention using a wearable device and the S-Health program. The self-health management areas included walking, moderate-intensity exercise, weight, blood pressure, blood sugar, diet, calorie intake, heart rate, sobriety, no smoking. Health, physical, psychological, and social changes were measured before and after the study. RESULTS: The intervention had a positive impact on the participants’ health, with statistically significant differences found in fasting blood glucose, highest systolic blood pressure, grip strength, and motor function assessment. Quality of life, health-related quality of life, and self-efficacy improved post-intervention. CONCLUSION: Our findings can be used as preliminary evidence for establishing m-Health-based health safety net systems for people with disabilities who live in communities.
Laparoscopic surgery for ectopic pregnancy: A comparative study on the clinical benefits and impact on tubal patency and reproductive outcomes
Authors: Yu Juan , Peng Yan , Yu Liqun , Shi Shutian
Published: March 2024

BACKGROUND: Ectopic pregnancy is a major contributor to maternal morbidity and mortality across the globe. OBJECTIVE: This study aims to investigate the clinical benefits of laparoscopic surgery in treating ectopic pregnancy, and its impact on tubal patency and reproductive outcomes. METHODS: A clinical study was conducted to compare laparoscopic and medical conservative treatment for ectopic pregnancy. A total of 206 patients were treated for ectopic pregnancy at our hospital from January 2018 to June 2020. Among them, 46 underwent laparoscopic ipsilateral salpingectomy, 54 underwent laparoscopic ipsilateral salpingostomy with lesion removal, and 106 were treated conservatively with medication. RESULTS: The age range and average age of each group are provided, with no significant differences in these general demographic characteristics (p> 0.05). Both the salpingostomy and medication groups had higher rates of ectopic pregnancy compared to the salpingectomy group, with statistically significant differences (p< 0.05). The comparison of ectopic pregnancy rates between the salpingostomy and medication groups showed no significant difference. Within three years, the salpingostomy group had 10 cases of recurrent ectopic pregnancy, with 2 cases on the same side, while the medication group had 18 cases, with 8 cases on the same side. At 3 months after the normalization of blood β-HCG, the salpingostomy group showed 43 cases of tubal patency (patency rate: 79.63%), while the medication group showed 57 cases (patency rate: 53.77%), with a statistically significant difference between the two groups (p= 0.01). CONCLUSION: Laparoscopic surgery for ectopic pregnancy offers significant clinical benefits over conservative medical treatment, including higher rates of tubal patency and improved reproductive outcomes. These findings support laparoscopic surgery as an effective approach for the management of ectopic pregnancy.
UPLC-Q-Exactive Orbitrap-MS and network pharmacology for deciphering the active compounds and mechanisms of stir-fried Raphani Semen in treating functional dyspepsia
Authors: Miao Zhuang , Yu Xinyue , Zhang Lizhen , Zhu Liqiao , Sheng Huagang
Published: March 2024

BACKGROUND: As a traditional digestive medicine, stir-fried Raphani Semen (SRS) has been used to treat food retention for thousands of years in China. Modern research has shown that SRS has a good therapeutic effect on functional dyspepsia (FD). However, the active components and mechanism of SRS in the treatment of FD are still unclear. OBJECTIVE: The purpose of this study is to elucidate the material basis and mechanism of SRS for treating FD based on UPLC-Q-Exactive Orbitrap MS/MS combined with network pharmacology and molecular docking. METHODS: The compounds of SRS water decoction were identified by UPLC-Q-Exactive Orbitrap MS/MS and the potential targets of these compounds were predicted by Swiss Target Prediction. FD-associated targets were collected from disease databases. The overlapped targets of SRS and FD were imported into STRING to construct Protein-Protein Interaction (PPI) network. Then, the Metascape was used to analyze Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway after introducing overlapped targets. Finally, the active components and core targets were obtained by analyzing the “component-target-pathway” network, and the affinity between them was verified by molecular docking. RESULTS: 53 components were identified, and 405 targets and 1487 FD-related targets were collected. GO and KEGG analysis of 174 overlapped targets showed that SRS had important effects on hormone levels, serotonin synapses, calcium signaling pathway and cAMP signaling pathway. 7 active components and 15 core targets were screened after analyzing the composite network. Molecular docking results showed that multiple active components had high affinity with most core targets. CONCLUSION: SRS can treat FD through a variety of pathways, which provides a direction for the modern application of SRS in FD treatment.
Event type induction using latent variables with hierarchical relationship analysis
Authors: Yan Xin , Liu Fangchang , Jiang Lincheng , Long Youlong
Published: March 2024

The conventional approach to event extraction requires predefined event types and their corresponding annotations to train event extractors. However, these prerequisites are often difficult to satisfy in real-world applications. To automatically induct event types, most work has been devoted to clustering event triggers, where a cluster of event triggers is represented as an event type. Some works use trigger semantics, while others use co-occurrence relationships to cluster triggers. However, the clustering results of event triggers obtained by the above work are not sufficiently detailed in describing event types, making it difficult to accurately determine the corresponding event types manually. This paper proposes an open-domain event type induction framework that automatically discovers a set of event types from a given corpus. Unlike previous work on event trigger clustering, this paper takes into consideration the hierarchical relationship of event types to partition the event trigger clusters into event mains and subtypes. The framework employs a latent variable-based neural generation module and a semantic-based clustering module, the former of which obtains event trigger clusters representing the main types of events by jointly projecting the co-occurrence and semantic information of event triggers into a latent space for event type latent variable mining, and the latter of which further divides these event trigger clusters into event subtypes based on semantic information. Finally, experiment results show that, compared with the benchmark model, the ETGen-Clus can improve event type quality scores of 6.23% and 3.11% on the two datasets, respectively.
Three-dimensional analysis of puncture needle path through safety triangle approach PLD and design of puncture positioning guide plate
Authors: Yu Penghui , Li Yanbing , Zhao Qidong , Chen Xia , Wu Liqin , Jiang Shuai , Rao Libing , Rao Yihua
Published: March 2024

OBJECTIVE:

In this study, the three-dimensional relationship between the optimal puncture needle path and the lumbar spinous process was discussed using digital technology. Additionally, the positioning guide plate was designed and 3D printed in order to simulate the surgical puncture of specimens. This plate served as an important reference for the preoperative simulation and clinical application of percutaneous laser decompression (PLD).

METHOD:

The CT data were imported into the Mimics program, the 3D model was rebuilt, the ideal puncture line N and the associated central axis M were developed, and the required data were measured. All of these steps were completed. A total of five adult specimens were chosen for CT scanning; the data were imported into the Mimics program; positioning guide plates were generated and 3D printed; a simulated surgical puncture of the specimens was carried out; an X-ray inspection was carried out; and an analysis of the puncture accuracy was carried out.

RESULTS:

(1) The angle between line N and line M was 42°~55°, and the angles between the line M and 3D plane were 1°~2°, 5°~12°, and 78°~84°, respectively; (2) As the level of the lumbar intervertebral disc decreases, the distance from point to line and point to surface changes regularly; (3) The positioning guide was designed with the end of the lumbar spinous process and the posterior superior iliac spine on both sides as supporting points. (4) Five specimens were punctured 40 times by using the guide to simulate surgical puncture, and the success rate was 97.5%.

CONCLUSION:

By analyzing the three-dimensional relationship between the optimal puncture needle path and the lumbar spinous process, the guide plate was designed to simulate surgical puncture, and the individualized safety positioning of percutaneous puncture was obtained.
Models database of information technology for valuation of real estate
Authors: Izmailova Olha , Krasovska Hanna , Palchik Petro , Kondakova Svitlana
Published: March 2024

The goal of the research is to find and analyze ways to improve the results of real estate valuation based on a comparative approach. The chosen approach suggests the use of an information technology for the valuation of residential real estate, which is built on the basis of a database of models of decision support systems (DSS). The problem solved with the use of the discussed approach is to establish the degree of similarity between the object under consideration and its analogs by determining the value as an integral quality indicator based on the analysis of value-creating factors. This is followed by the construction of a generalized relationship between the value of this indicator and the prices of analogs. According to the logic of the comparative approach, it is assumed that the obtained relationship holds for the evaluated object as well and can be used in the calculation of its value.
The formation of the database of models was based on the analysis of information technology processes, where details of functional aspects of process implementation, informational and logical connections between them, rights of access to information environment, and the implementation of processes by different types of users (their roles) were considered. The proposed database of models is built as a mathematical and logical basis of information technology that is applied as a computer tool for appraisers and aims to maximize formalization and efficiency improvement of process implementation based on expert evaluation methods. The construction of the database of models is based on methods of value estimation using multiple criteria, with consideration of their significance, analysis of hierarchies, ranking, Delphi, and user access control based on defined roles.
Percepciones y significaciones del cuerpo y la sexualidad de las adultas mayores, un acercamiento desde los estudios de género
Authors: Núñez Ibarra María Guadalupe
Published: March 2024

En este artículo se presenta un análisis de la percepción que tienen las adultas mayores sobre su sexualidad y su cuerpo. Se trabajó con seis mujeres de la Zona Metropolitana de Guadalajara mayores de 60 años, esta ciudad es reconocida por ser una de las más tradicionalistas en México. El trabajo se realizó desde los métodos cualitativos de investigación, así como desde una perspectiva de género e inclusión. Las mujeres entrevistadas van narrando sus historias de vida, así como la vivencia de su cuerpo y su sexualidad. En este trabajo sale a la luz los tabús y estereotipos que se tiene sobre los temas de sexualidad y cuerpo, pero también como se han ido resignificando y modificando a partir de sus historias de vida, sin embargo, también sigue existiendo un peso importante del contexto social, político, cultural, histórico y religioso en el que ellas generan sus vivencias
Estrategias de organización frente a la escasez de agua para riego, Temoac, Morelos
Authors: Navarrete Galindo Elizabeth
Published: March 2024

RESUMEN

 

Este artículo busca comprender los factores que han generado alternativas de organización para el riego en comunidad, ante un escenario de escasez de agua. Analiza las comunidades rurales en el oriente del estado de Morelos, aledañas a la Barranca Amatzinac, que ya no cuentan con los mismos recursos y espacios principalmente el agua de riego que se ha visto mermada por el acaparamiento ilegal que tiene lugar en la zona alta de la barranca. Como respuesta, las comunidades han generado estrategias de adaptación y para comprenderlas se requiere analizar las causas que han provocado la escasez, los actores que participan, los antecedentes históricos del conflicto social por el agua, las formas organizativas en las comunidades de estudio del municipio de Temoac y en el Amatzinac, además las estrategias de resistencia y persistencia campesina.

A la par de las estrategias de adaptación y la competencia por el agua que se ha generado, las comunidades han exigido y continúan demandando el agua de riego al Estado, el cual ha respondido con la construcción de cinco presas, beneficiando a unos más que a otros, siendo una solución temporal y parcial, por lo que la escasez del agua y la demanda por el recurso siguen latentes, agravados por la instalación de megaproyectos. A pesar de ello hay pueblos que se resisten a perder su identidad agrícola.

PALABRAS CLAVE

 

Escasez, agua, organización, riego, río Amatzinac.
Implementation of third-generation digital PCR for non-invasive prenatal diagnosis of sickle cell disease and early detection
Authors: Ferrer Benito S. , Gómez Álvarez M. , Torrejón Martínez M.J. , López Rubio M. , del Orbe Barreto R.A. , Arbeteta Juanis J. , Muruzabal Siges M.J. , Salido Fiérrez E.J. , García Mateo A. , Recasens V. , Martínez Nieto J. , Villegas Martínez A.M. , González Fernández F.A. , Ortega Montero A.B. , García Moreno L. , Ramiro León S. , Ropero Gradilla P. , Benavente Cuesta C.
Published: March 2024

Sickle Cell Disease (SCD) is one of the most prevalent autosomal recessive disease, affecting over 600,000 newborns globally each year. In Spain, the Spanish Registry of Hemoglobinopathies (REHem) has registered 1142 cases. Despite improvements in treatments, prophylaxis, and vaccines, it remains a chronic condition requiring lifelong care. Allogeneic transplantation is the only cure, contingent upon the availability of an HLA-compatible donor.
SCD is considered a rare disease in some population, resulting from a mutation of a single nucleotide in codon 6 GAG>GTG (HBB: c.20A>T) of the β-globin gene, producing hemoglobin S (HbS), altering the shape of red blood cells and obstructing circulation, leading to severe complications in multiple organs. Heterozygous individuals (βS/βA) have the ‘sickle cell trait,’ typically asymptomatic. Homozygotes experience symptomatic disease, with chronic and acute infarctions in organs and tissues, episodes of intense pain, cerebral infarctions, splenomegaly, massive hemolytic episodes, and acute chest syndrome, causing a risk of premature death increasing the threat of premature mortality.
Prenatal diagnosis provides expecting couples with information about the fetus’s genetic health, enabling informed decision-making. Although conventional techniques are invasive and carry risks, Non-Invasive Prenatal Diagnosis (NIPD) has been developed using cell free fetal DNA (cffDNA) in maternal blood to determine the fetus’s genotype. However, the co-presence of maternal DNA and cffDNA, along with the low concentration of the latter, has been a challenge in non-invasive studies.
We present the results of a pilot study where the use of digital PCR (dPCR) has been established for NIPD of SCD, a highly sensitive technique allowing the detection of mutations in low-frequency samples, presenting itself as a safe alternative for SCD diagnosis.
Limites matérielles au droit d'urgence du gouvernement
Authors: Loviat Romane
Published: March 2024

Depuis la pandémie de Covid-19, le Conseil fédéral a régulièrement pris des mesures de droit d’urgence. Ce changement de pratique soulève la question de savoir quelles mesures peuvent être prises par le gouvernement sur la base du droit d’urgence. La Constitution fédérale ne règle pas clairement cette question. La présente thèse propose une analyse critique du droit d’urgence du Conseil fédéral afin d’en déterminer les limites matérielles. Elle a la particularité de présenter un état des lieux des limites selon les droits d’urgence cantonaux. Cet état des lieux sert ensuite d’inspiration pour de nouvelles solutions d’encadrement du droit d’urgence gouvernemental en Suisse.
Ziyaretçilerin Kara Turizm Destinasyonlarını Ziyaret Etme Motivasyonları Üzerine Ampirik Bir Çalışma: Ulucanlar Cezaevi Müzesi Örneği
Authors: Kaleli Cemal , Özlü Tamer , Zorlu Kuttusi
Published: March 2024

Kara turizm çalışmaları son zamanlarda turizm çalışmaları içerisinde artış gösteren önemli bir konu alanı olmuştur. Ancak bu konu özelinde yapılan çalışmaların ampirik yönü eksik kalmıştır. Türkiye’de ise kara turizm çalışmaları oldukça sınırlıdır. Bu çalışmada, Ulucanlar Cezaevi Müzesi'ni ziyaret edenlerin davranışlarını açıklayabilmek için Planlı Davranış Teorisi’nin (PDT) tutum yapısı ile beş adet kara turizm yapısı (iç karartıcı deneyim, ilgi çekici eğlence, benzersiz öğrenme deneyimi, geçici ilgi ve duygusal rekreasyon) arasındaki nedensel ilişkilerin ortaya konulması amaçlanmıştır. Bu amaçla Ulucanlar Cezaevi Müzesi’ni ziyaret eden kişilerden basit örnekleme dayalı olarak 366 anket verisi toplanmıştır. Elde edilen veriler Yapısal Eşitlik Modeli (YEM) ile analiz edilerek araştırmada öne sürülen beş hipotez test edilmiştir. Bulgular, benzersiz öğrenme deneyimi ve duygusal rekreasyon yapılarının, ziyaretçilerin tutumları üzerinde güçlü bir belirleyiciliğinin olduğunu göstermiştir. Ayrıca geçici ilgi ve ilgi çekici eğlence yapıları ile tutum arasındaki ilişkinin pozitif yönlü olduğu belirlenmiştir. Bu sonuçlar bu tür destinasyonları ziyaret etmeye niyetli turistlerin davranışlarının açıklanmasında önerilen modelin kullanılabileceğini destekler niteliktedir. Elde edilen sonuçların hem teorik hem de pratik anlamda çeşitli çıkarımlar sağlayacağı düşünülmektedir.
White International Graduate Students and Whiteness
Authors: Dengg Michaela
Published: March 2024

This emerging scholar’s piece explores the construct of whiteness and how it both shapes the experiences of white international graduate students in the United States as well as how they enact whiteness themselves. This dissertation study seeks not to recenter whiteness in scholarship, but to name and disrupt it in relation to a scarcely researched student population, namely white international graduate students. By way of a Post-Intentional Phenomenology grounded in Critical Whiteness Studies (CWS), the study interrogates prevalent power structures in international higher education grounded in whiteness in addition to exploring the role white international students play in it.
Stressors and Solutions: A Preliminary Examination of Acculturative Stress among International Students.
Authors: Le Thu Thi-Kim , Huyen-Nguyen Thi Thu
Published: March 2024

Despite ample literature regarding acculturative stress among international students, there is a gap in the literature synthesizing the sources of acculturative stress and the coping strategies that can help international students to deal with acculturative stress. In this systematic literature review, we aim to investigate the current state of acculturative stress among international students, through empirical research published in peer-reviewed journals between the years 2018 and 2022. Using a predetermined review protocol, this review analyzed 66 publications on acculturative stress for international students. These studies were mainly published in 2021 in the Journal of International Students. The preliminary findings provide a comprehensive range of sources for acculturative stress that can be broken down into four levels: Macro (socio-economic factors from both home and host countries or national level), Meso (institutional factors), Micro (individual, personal, or psychosocial factors). Drawn upon the sources of acculturative stress, international students are expected to reduce acculturative stress by improving their English proficiency, practicing self-compassion, adopting a positive perspective, adjusting expectations and perfectionism, attending serious leisure engagement, and seeking social support. The findings from this review will be used to help policy makers and university leaders and managers to better optimize their resources to improve international students’ acculturation experience and enhance the overall higher education system.
Vietnamese Female Faculty in Higher Education Institutions with Work-life Balance: A Qualitative Study
Authors: Huyen-Nguyen Thi Thu , Wang Jia
Published: March 2024

Despite ample literature regarding acculturative stress among international students, there is a gap in the literature synthesizing the sources of acculturative stress and the coping strategies that can help international students to deal with acculturative stress. In this systematic literature review, we aim to investigate the current state of acculturative stress among international students, through empirical research published in peer-reviewed journals between the years 2018 and 2022. Using a predetermined review protocol, this review analyzed 66 publications on acculturative stress for international students. These studies were mainly published in 2021 in the Journal of International Students. The preliminary findings provide a comprehensive range of sources for acculturative stress that can be broken down into four levels: Macro (socio-economic factors from both home and host countries or national level), Meso (institutional factors), Micro (individual, personal, or psychosocial factors). Drawn upon the sources of acculturative stress, international students are expected to reduce acculturative stress by improving their English proficiency, practicing self-compassion, adopting a positive perspective, adjusting expectations and perfectionism, attending serious leisure engagement, and seeking social support. The findings from this review will be used to help policy makers and university leaders and managers to better optimize their resources to improve international students’ acculturation experience and enhance the overall higher education system.
ТАКТИКО-КРИМІНАЛІСТИЧНІ ПРИЙОМИ ДОПИТУ ЯК ПРАВОВА СКЛАДОВА ОТРИМАННЯ ДОСТОВІРНИХ ПОКАЗАНЬ УЧАСНИКІВ ПРОЦЕСУ
Authors: ОСМОЛЯН Віталій
Published: March 2024

У статті розкриваються тактико-криміналістичні прийоми допиту як невід’ємна правова складова в отриманні достовірних показань від учасників процесу під час здійснення досудового розслідування кримінального провадження. Надається на розгляд та обговорення загалу авторські рекомендації щодо прийомів та методів отримання доказової бази у кримінальному провадженні. Зокрема, розглядаються раніше напрацьовані та вже сформовані криміналістами-практиками тактико-криміналістичні прийоми допиту, опрацьовуються сучасні (інноваційні) процесуальні правила та тактичні прийоми допиту з урахуванням інформаційного розвитку сучасного суспільства. Автором статті наводяться та окреслюються правові грані щодо законності використання деяких криміналістично-процесуальних методик отримання та збирання доказової бази. Розкривається значення, надається оцінка цим новелам та новітнім підходам у реалізації завдань Кримінального та Кримінального процесуального кодексів України щодо захисту особи, суспільства та держави від кримінальних правопорушень, охороні прав, свобод та законних інтересів учасників кримінального провадження, а також у правовому забезпеченні охорони громадської безпеки та конституційного устрою України від кримінально-протиправних посягань, забезпечуючи таким чином мир і безпеку людства. Обґрунтовується необхідність подальших досліджень відповідної спрямованості, оскільки останні створюватимуть перспективи теоретичних та практичних напрацювань, а також сприятимуть розв’язанню проблемних питань у цьому напрямку процесуального права та криміналістики. Привернуто увагу на необхідність подальшої співпраці вчених і практиків у галузі матеріального та процесуального права, а саме: кримінального права, процесу та криміналістики.
ЗАСАДИ СПРАВЕДЛИВОСТІ У СУДОЧИНСТВІ
Authors: ГРЕКУ Андрій
Published: March 2024

Кожна країна повинна гарантувати, на законодавчому рівні, основні засади справедливого судочинства. Адже людські права та свободи не повинні порушуватись. Вони потребують особливого захисту та гарантій. Хто, як не держава забезпечує кожному законність рішень судових органів та відповідність їх національним та міжнародним нормам. Судочинство повинно проходити враховуючи правила моралі у суспільстві. Через збройну агресію росії та вторгнення її на територію України, часто зустрічаємо порушення загальних засад справедливості. Ця нагальна проблема потребує дослідження та розв’язання. Воєнний стан не повинен впливати на судовий процес. Законодавство має працювати таким чином, щоб не порушувати людські права та врегулювати роботу судів, не зважаючи на зовнішні фактори та ризики. Актуальним виступає вивчення вітчизняної теоретико-правової та міжнародної наукової літератури, для аналізу та дослідження фундаменту здійснення правосуддя в нашій державі. Мета. Метою статті є теоретичний аналіз джерельної бази та виокремлення основних засад справедливості у судочинстві. Матеріали і методи. Матеріалами вивчення є: законодавча міжнародна та національна нормотворча база та наукові здобутки вчених та їх дослідження. При проведенні наукового аналізу застосовано загальнонаукові та спеціальні методи. Особливе місце відводиться юридичному методу. Застосовано метод аналізу, при вивченні наукової літератури. Також зустрічається порівняння, структурно-функціональний метод та прогнозування. Результати. У результаті теоретичного та правового аналізу проаналізовані нормативно правові джерела та праці вчених, структуровано науковий матеріал, запропоновано авторські пропозиції, щодо класифікації основних засад справедливого судочинства і рекомендації про вивчення позитивного міжнародного досвіду та застосування його в Україні. Перспективи. Правовий та теоретичний аналіз та дослідження наукового та правового джерельного фундаменту, з питань захисту основних засад справедливого судочинства, надає змогу, з’ясувати основні проблеми сьогодення та дослідити їх в майбутньому на глобальному рівні та застосувати авторські пропозиції в практичній діяльності.
КІБЕРЗЛОЧИНИ ТА КІБЕРБЕЗПЕКА: БОРОТЬБА З КОМП'ЮТЕРНИМИ ЗЛОЧИНАМИ І КІБЕРАТАКАМИ
Authors: ПОЛІЩУК Володимир
Published: March 2024

Дана робота досліджує різні типи кіберзлочинів та їхні особливості, а також методи та інструменти, які використовуються кіберзлочинцями, а також заходи, які можна вжити для захисту від кіберзлочинів; роль правоохоронних органів та міжнародної співпраці у боротьбі з кіберзлочинністю. Автор розглядає актуальні тенденції та прогнози розвитку кіберзлочинності в Україні та міжнародний досвід боротьби із кіберзлочинами. У роботі зроблена спроба ознайомитися з розвитком нових форм вчинення кіберзлочинів у контексті історичного розвитку. Кіберзлочини часто складні для розслідування через брак кваліфікованих кадрів, необхідних інструментів та міжнародної співпраці. Кіберзлочинці часто ховаються за анонімністю, що ускладнює їх ідентифікацію та притягнення до відповідальності. Законодавство у сфері кіберзлочинності постійно еволюціонує, адже не завжди встигає за темпами розвитку нових технологій. Важливо зазначити, що кіберзлочинність є серйозною загрозою для суспільства, тому необхідні спільні зусилля держави, приватного сектору та громадян для її подолання. Боротьба з кіберзлочинністю та забезпечення кібербезпеки – одна із найактуальніших проблем сьогодення. Це питання, яке потребує комплексного підходу, що містить як правові, так і технічні аспекти. Очікуваними результатами роботи є: – Визначення та систематизація основних понять кіберзлочинності та кібербезпеки. – Розробка типології кіберзлочинів. – Узагальнення та аналіз методів та інструментів кіберзахисту. – Визначення шляхів удосконалення діяльності правоохоронних органів у сфері боротьби з кіберзлочинністю. – Обґрунтування рекомендацій щодо розвитку кібербезпеки. – Результати дослідження можуть бути використані для розробки та вдосконалення політики кібер-безпеки на державному та приватному рівні. Розслідування кібератак як воєнних злочинів може допомогти притягнути винних до відповідальності, а також запобігти подібним злочинам у майбутньому.
ПУБЛІЧНЕ УПРАВЛІННЯ ЯК ФОРМА РЕАЛІЗАЦІЇ ПУБЛІЧНОЇ ВЛАДИ
Authors: МЕЛЬНИЧЕНКО Богдана
Published: March 2024

У статті розкрито сутність публічного управління як форми реалізації публічної влади. Встановлено, що поняття «управління» за змістом доволі близьке до поняття «влада». Констатовано, що наприкінці XX – на початку XXI ст. докорінно змінилася концепція влади. Визначальним критерієм для таких змін став перехід від «державоцентристської ідеології», за якою людина сприймається як «підвладний об’єкт», до так званої людиноцентристської ідеології, згідно з якою держава повинна, умовно кажучи, «служити» інтересам громадян (тобто діяти на благо людини). Усе це привело до потреби перегляду правової категорії «державна влада» та застосування нового правового поняття «публічна влада». Наголошено, що йдеться не про зникнення категорії «державна влада», а про її заміщення місткішим терміном «публічна влада», одним зі складових елементів якого залишається державна влада. З’ясовано, що у конституціях переважної більшості сучасних держав закріплено принцип поділу влади, згідно з яким державна влада здійснюється на засадах її поділу на законодавчу, виконавчу і судову. Зазначено, що кожна з трьох влад – законодавча, виконавча та судова – реалізується у властивій лише їй формі. Для законодавчої влади – це законотворчість; для виконавчої влади – публічне управління; для судової влади – правосуддя. Зроблено висновок про те, що публічне управління – це одна із форм прояву публічної влади, в основу якої покладено принцип народного суверенітету, що проголошує народ його носієм і єдиним джерелом влади, здійснюється в інтересах і з метою задоволення потреб усього суспільства. Серед основних ознак публічного управління виокремлено такі: є формою прояву публічної влади; в його основу покладено принцип народного суверенітету, який проголошує народ носієм суверенітету і єдиним джерелом влади в суспільстві; здійснюється в інтересах і з метою задоволення потреб усього суспільства.