bluuebunny/crossref_metadata_2025 huggingface dataset:
Using the Graded Response Model to Validate and Standardize the Academic Self Concept Scale for University Students in Saudi Arabia
Authors: Aljubaily Hesham Yahya Ali
Published: January 2025

This study aimed to standardize the Academic Self Concept (ASC) Scale for use with Saudi university students. The focus was on evaluating its psychometric properties, including reliability, validity, and ability to measure latent traits using Item Response Theory (IRT), specifically the Graded Response Model (GRM).Data were collected from 894 university students using the ASC scale, comprising 40 items across four domains: Mathematics, Verbal, Academic, and Problem-Solving. IRT-GRM was applied to assess item difficulty, discrimination, and test information. Structural Equation Modeling (SEM) was used to confirm the scale's construct validity, while measures marginal reliability was used to measure the scale’s reliability.IRT analysis revealed strong psychometric properties, with high item discrimination (0.40–1.68), good model fit indices, and high test reliability (marginal reliability = 0.93). The ASC scale demonstrated excellent psychometric properties. Construct validity was confirmed through SEM, SEM confirmed the four-factor structure, with strong fit indices (CFI = 0.96, TLI = 0.95, RMSEA = 0.07). Composite Reliability (CR), for the four domains were ranging from 0.85 to 0.92, served as evidence of convergent validity. Discriminant validity was achieved with values of HTMT < 0.85. The ASC scale demonstrated excellent psychometric qualities, supporting its use in measuring academic self-concept among Saudi students. Recommendations include its application in higher education for academic support programs and further validation in diverse populations. Future research should explore cultural influences and develop digital assessment tools.
Value Lang Edit The Narratives of the Survivors of the Beirut Port Blast in Relation to their Recollections of Past Tragedies in Lebanon
Authors: Amikah Noura
Published: January 2025

On August 4, 2020, the city of Beirut was struck by a blast after roughly four tons of ammonium nitrate exploded in the capital's port. The explosion has left an insurmountable impact on the psychological, emotional, financial wellbeing of the residents of Beirut which is still yet to be explored (UNFPA, 2020). Because, in Lebanon, trauma-related mental health dysfunction must be examined in light of the layers of piled up wars, traumas and complexities over the years, the present study moved away from the traditional post-traumatic stress disorder paradigm used in much of trauma research. It aims to explore the narratives of the survivors of the Beirut blast in relation to past war-related traumatic memories, among which experiencing the on-going disappearance of a loved one during the Lebanese Civil War era. Its purpose is to further fathom the conceptualization that the individuals have created considering these traumas, their personal explanation about what happened, their different theories and perceptions, as well as the mechanisms that helped them cope with such traumatic experiences. Based on case study design, and using the semi-structured interview technique, this qualitative study used content analysis to explore themes emerging from the narratives of a sample of the Beirut Port explosion survivors who have also survived past war-related traumatic experiences in Lebanon. The emergent themes were linking memories, anxiety, emotional impact, coping mechanism and complicated grief. The analysis of such narratives provides an important window into conceptualizing trauma through a lens that is unique to the Lebanese context, considering the chronicity and recurrence of such traumas on the Lebanese population, and an understanding that could serve as a guide for future psycho-social and clinical interventions in the Lebanese context.
Anxiety, Depression, and Persistent Complex Bereavement Among the Families of the Enforced Disappeared and Deceased during the Lebanese Civil War. Dealing with the Past, Memory for the Future Studies
Authors: Rehimi Reem
Published: January 2025

The purpose of this quantitative research was to study mental health implications, specifically symptoms of depression, anxiety, and persistent complex bereavement among the families of the deceased and forced disappeared during the Lebanese Civil War. The research aim was to compare the families of the deceased with the families of the forced disappeared on the following variables: symptoms of anxiety, symptoms of depression and symptoms of persistent complex bereavement.
A purposeful and convenient sample of 26 Lebanese individuals who had lost a core family member in the Lebanese civil war participated in the study, 13 of whom had lost a family member to death, and 13 others who had lost a family member to forced disappearance. Data were collected using a survey that included a demographic questionnaire, the "Beck Anxiety Inventory", the "Beck Depression Inventory", and the "Inventory of Complicated Grief". Between-subjects tests were used to test the hypotheses. As hypothesized, the results showed that individuals who had lost a core family member to enforced disappearance scored significantly higher on symptoms of anxiety, symptoms of depression, and symptoms of complicated grief than those who had lost a family member to death during the same time period in the Lebanese civil war. It is recommended to use clinical interventions that focus on psychoeducation, methods of narrative therapy that are based on storytelling for finding more positive meaning as well as approaches that increase the individuals' tolerance for ambiguity.
7th International Workshop on Offshore Geologic CO2 Storage
Authors:   IEA Greenhouse Gas R&D Programme, Luciano Angela
Published: January 2025

The 7th International Workshop on Offshore Geologic CO2 storage was held in Port Arthur, TX, on September 17-18th, hosted by the Port Arthur Chamber of Commerce and co-organized by the University of Texas and the IEAGHG. There was around 60-70 in-person attendees, with over 200 participants joining online.
Lactancia materna y alimentación complementaria en la desnutrición crónica de niños menores de 2 años: prácticas culturales en Sudamérica
Authors: Almendariz Paguay Evelyn Katherine , Betancourt Jimbo Cielito del Rosario
Published: January 2025

En la salud infantil la alimentación es un tema de suma importancia debido a que tiene una influencia directa en el desarrollo y crecimiento adecuado de niños y niñas, especialmente en los países en vías de desarrollo de manera relevante en los que conforman Sudamérica. En los últimos años las tasas de desnutrición infantil  muestran una curva de crecimiento elevada, ocasionando una alarmante preocupación y generando un alto costo al sistema de salud pública; Por lo tanto, se plantea el presente estudio que permitirá  analizar la aplicación de la lactancia materna y alimentación complementaria asociada  con la desnutrición crónica de niños menores de 2 años así como  las  diferentes prácticas culturales en  estudios realizados  en  Sudamérica, a fin de fomentar intervenciones que ayuden  a las familias y cuidadores a instaurar  prácticas  saludables. Los principales resultados obtenidos reflejan una visión de la percepción de la lactancia materna en Sudamérica, identificando los factores socioculturales y la percepción de los cuidadores sobre la desnutrición crónica, así como los conocimientos, saberes y prácticas de la lactancia materna y en la alimentación complementaria en niños menores de 2 años. En conclusión, una adecuada aplicación de la lactancia materna con métodos que incluyan y respeten las diferentes prácticas culturales muestra un mejor resultado en la población pediátrica lactante.
The Instruction of Lao Language for Grade 1 of Nan District Primary School, Luangprabang Province, Academic year 2024-2025
Authors:   Souphanouvong University, KHAMPADITH Shaidan
Published: January 2025

This research was intended to study the instruction of Lao language for Grade 1 of Nan District Primary School, Luangprabang Province, Academic year 2024-2025, which aimed to investigate the instruction of the Lao language for Grade 1. Implementing the curriculum, teaching-learning activities, using instructional materials, measuring and evaluating, and providing facilities are all included in the study framework. It's a quantitative investigation. The 73 participants in the samples were principals and teachers in the primary school. Descriptive statistics and data collection were conducted using questionnaires. To ascertain the means and standard deviation, they were employed in the data analysis process.

A case study of primary schools in the Nan district revealed that teachers follow manuals, teach four skills, organize student-centered teaching, use modern media, and provide a secure learning environment.
Implementation of the Philippine Environmental Impact Statement System for Sanitary Landfill Facilities in Cagayan Valley, Philippines
Authors: Tanguilan Arthur T. , Peñaflor Bondee L.
Published: January 2025

The study assessed the implementation of the Philippine Environmental Impact Statement System (Presidential Decree 1586) for Sanitary Landfill Facilities (SLF) in Cagayan Valley, Philippines. The study highlights that the majority (57.69%) of the Local Government Units (LGUs) belong to 1st to 3rd Class and the majority (69.23%) falls under annual Internal Revenue Allotment (IRA) ranging from 100,000,000 to 300,000,000 pesos. The SLF in the region had an average land area of four hectares with an average annual fund allocation of 3.4 million pesos. The study also highlights that the respondents were knowledgeable (Overall mean= 3.77) on the salient points of Presidential Decree 1586 and all LGUs were found compliant with most of the conditions in their Environmental Compliance Certificate (ECC). However, LGUs encountered issues such as: lack of cooperation of residents; lack of facilities, equipment, and machineries; and lack of financial and technical assistance. Meanwhile, regression results revealed a Multiple R of 0.470 for the multiple correlation between the SLF Area (m2) and the predictor variables (Population, Personnel Number, Allotted Budget, Income Classification, and LGU-IRA). The p-value is 0.374 which implies that the regression model as a whole is not statistically significant. The individual significance value of each predictor variable was also found not statistically significant in the regression model. The researcher recommends that stronger efforts should be done with residents to improve their cooperation regarding segregation and waste collection scheme and proper networking should be established for the financial, technical and logistical support for waste management operations.
ARTIFICIAL INTELLIGENCE, SOCIAL INCLUSION, AND REPRESENTATION IN GENERAL ELECTIONS IN LESOTHO: CHALLENGES, PROSPECTS AND A FRAMEWORK FOR IMPLEMENTATION
Authors:   National University of Lesotho, Ababio Henry , Olatokun Wole ,   National University of Lesotho
Published: January 2025

The integration of Artificial Intelligence (AI) into Lesotho's electoral processes holds potential for enhancing social inclusion and representation. Despite the country's homogeneous ethnic makeup, its demographic diversity and socio-economic disparities
present challenges to equitable political participation. This paper explores AI technologies like machine learning and natural language processing in addressing voter identification, fraud prevention, fostering social inclusion and representation and information dissemination in Lesotho's elections. Case studies from Kenya, South Africa, Nigeria, and Ghana demonstrate AI's practical benefits, such as improved voter registration accuracy and enhanced electoral security. However, challenges such as the digital divide, data privacy concerns, algorithmic bias, and the need for transparency must be addressed to ensure AI fosters, rather than hinders, social inclusion. The paper proposes a financial framework to support AI adoption, emphasizing targeted investments in technological infrastructure and capacity building. Recommendations are offered for policymakers and electoral authorities on the strategic implementation of AI to achieve these goals.
PATOLÓGICOS DO CÂNCER DE MAMA E DOS FATORES DE RISCO ASSOCIADOS: UMA ANALISE SOBRE A GRAVIDEZ TARDIA
Authors: Pacheco Thaline santos , Matos Jauane Vilela Santos Gonçalves
Published: January 2025

Considered a global health concern, breast cancer in late pregnancy requires continuous efforts to improve early diagnosis and adequate treatment. Objective: To analyze the pathological aspects of breast cancer and the associated risk factors. Method: This study consists of an exploratory and qualitative literature review carried out between January and July 2024. It used secondary research sources available in databases and accessible for full reading. The research was conducted by analyzing books, articles and protocols available on electronic platforms such as Google Scholar, Scielo and Pub Med, covering the period from 2019 to 2023. Results: Women who become pregnant for the first time after the age of 35 face a higher risk of developing breast cancer during pregnancy, possibly due to the late stimulation of breast tissue and the rise in estrogen levels, especially around menopause. Conclusion: The relationship between late pregnancy and breast cancer is multifaceted and involves various pathophysiological mechanisms, such as hormonal changes during pregnancy, suppression of the immune system and involution of breast tissue after childbirth and weaning. These mechanisms trigger a series of events that promote the disordered growth of breast cells and, eventually, the development of cancer.
IMPLEMENTASI ALGORITMA DECISION TREE PADA KINERJA KARYAWAN MENGGUNAKAN KERANGKA OBJECTIVE AND KEY RESULT (OKR)
Authors: Kalyana Andrian Falah , Hamidin Dini , Nirwan Saepudin
Published: January 2025

OKR (Objectives and Key Results) adalah kerangka kerja yang digunakan untuk menetapkan dan memantau tujuan serta hasil kunci yang diinginkan oleh sebuah organisasi. Penilaian dilakukan secara berkala untuk mengevaluasi kemajuan dan mengukur efektivitas OKR dalam mencapai tujuan yang telah ditetapkan. Dalam penelitian ini, data sintetis digunakan untuk memprediksi kinerja karyawan. Data sintetis dihasilkan menggunakan metode faker yang terdapat dalam library Python, dengan referensi data asli sebagai acuan. Machine learning, sebagai bagian dari kecerdasan buatan, memungkinkan sistem untuk belajar secara otomatis dan meningkatkan kemampuannya berdasarkan pengalaman tanpa perlu diprogram secara eksplisit. Algoritma Decision Tree digunakan dalam penelitian ini untuk klasifikasi dan regresi. Penelitian ini bertujuan untuk memprediksi hasil kinerja karyawan dengan label "cukup", "baik", "memuaskan", dan "sangat memuaskan". Hasil penelitian menunjukkan bahwa algoritma Decision Tree dapat digunakan untuk membangun pohon keputusan yang efektif dalam memprediksi kategori kinerja karyawan. Kesimpulannya, algoritma Decision Tree mampu membuat pohon keputusan yang berguna dalam evaluasi kinerja karyawan.
Applying Artificial Intelligence in Construction Management: A Scoping Review
Authors: Lai Jianying , Chong Heap-Yih , Qin Bin , Liao Ling Xia , Chao Han-Chieh
Published: January 2025

With the growth of artificial intelligence (AI) and Industry 4.0, construction management has entered a phase of rapid digital transformation. In order to effectively adopt digital applications of construction management, this paper aims to identify the specific applications of AI in construction management from the perspective of Construction 4.0, especially when applying technologies from Industry 4.0. A scoping review methodology was used to explore the limited literature in this research area. 60 articles were selected to analyze the state of the art of AI applications in construction management, especially for schedule management, cost management, quality management, and health and safety management. This review shows that AI has mainly been used in the preliminary design and construction phases of the above management areas, and proposes a research framework to highlight the contemporary development and needs for AI integration in construction management. The main contributions of this paper are its practical exploration of AI applications in construction management, its human-centered approach to AI adoption, and the introduction of a novel research framework to guide industry practitioners in AI integration.
Learning Based Patch Overfitting Detection: A Survey
Authors: Li Xuanyan , Li Dongcheng , Zhao Man , Wong W. Eric , Li Hui
Published: January 2025

As the complexity of software increases, the requirements for software quality and security continue to increase. However, automatically generated fix patches may suffer from patch overfitting issues, leading to instability and security vulnerabilities. This paper aims to summarize the application of machine learning in detecting overfitting problems in automatic program repair (APR) patches. We review the current state of research on automatic program repair and overfitting detection, and we summarize the machine learning techniques employed. We identified a comprehensive list of available datasets and metrics commonly used in this research. Finally, this paper discusses the challenges faced in this field and systematically summarizes the application of machine learning in detecting patch overfitting problems in automatic program repair, providing a useful reference for future research.
PB-DDPM: A Pontoon Bridge Denoising Diffusion Probabilistic Model for Missing Data Reconstruction
Authors: Zhang Peng , Zhang Zhenjiang , Zhang Yang
Published: January 2025

The passive and active data missing in data acquisition reduces data availability and brings difficulties in subsequent data processing. To solve this problem, a data reconstruction method based on pontoon bridge diffusion model has been proposed. This method transformed the missing position into a 0-1 mask tensor. By element-wise multiplication, missing values were replaced by the Gaussian noise to construct new data for model inputting according to the mask. And then, the missing data were reconstructed under the condition of observed data. Compared to other methods that divide the original data into missing and observed parts while the data dimensions remaining unchanged to make up inputs, this approach reduced the dimension of input data and simplified the correlation between inputs. Meanwhile, using the original parameters of noise strategy as the anchors and adjusting the uncertainly coefficients by in-situ replacement, the pontoon bridge mode reduced the difference between distributions of practical reconstruction and theoretical calculation to enhance the relevance of training process and generating process. Furthermore, the input data of the training process is augmented with various masks to simulate data missing modes. Experimental results demonstrated that data augmentation techniques enhanced the model’s ability to handle missing data, and the pontoon bridge diffusion model could effectively improve the quality of reconstructed missing data.
Analisis Statistika Keandalan Struktural Dalam Teknik Sipil
Authors: Zebua Dermawan , Mendrofa Putra Sudi Selamat , Telaumbanua Frans Tiven , Mendrofa Rifki Wahyudi , Laoli Putra Jaya
Published: January 2025

Structural reliability statistical analysis is an essential approach in civil engineering to assess a structure's ability to maintain its function and safety during its service life, despite uncertainties in materials, loads, and environmental conditions. This study aims to explore the application of statistical methods in reliability evaluation, which includes probabilistic analysis of uncertain parameters and failure probability calculations. This approach involves the use of probability distribution theory, Monte Carlo simulations, and other numerical methods to estimate the reliability level of a structure. The results of the analysis provide insights into how variability in materials and loads can affect the stability of structures, and offer a basis for decision-making in the design and maintenance of civil structures. Thus, this reliability analysis helps engineers design safer, more efficient, and sustainable structures while minimizing the risk of failure that could impact public safety and cause economic losses.
How Corruption Undermines Realization of the Right to Health: A Review of the Kenyan Landscape
Authors: Mulochi Edwin , Obura Ken , O. Abuya Edwin
Published: January 2025

Corruption poses a significant challenge to good governance. Both the developed and developing states are grappling with this vice. It is, however, the latter states that are most affected. Studies have established that corruption is a hindrance to the realization of the right to health. Yet this is one of the rights provided for under the International Covenant on Economic, Social, and Cultural Rights (ICESCR) and the African Charter on Human and People’s Rights (ACHPR). The ICESCR and the ACHPR require state parties to adopt measures to ensure that persons within their territory enjoy this fundamental entitlement. Kenya is party to the ICESCR and the ACHPR. Its legal framework also recognizes this central right. Despite a robust legal regime, the realization of the right has been slowed down by corruption. So far, few studies have been carried out on corruption and its effects on the right to health. In addition, most of these studies are theoretical. The study draws on empirical research conducted at five Kenyan public hospitals. It also relies on desktop research of available literature to unravel the types of corruption in Kenya’s health sector. The article argues that it is possible to realize the highest attainable health care envisaged by international, regional, and domestic laws if the identified forms of corruption are tackled head-on. By relying on empirical data, this study fills the gap, which theoretical studies have not managed to bridge. Its findings and conclusions are also likely to inform the implementation of anti-corruption laws in general and in the health sector in particular. Finally, this research forms an essential basis for further discourse in these areas.
Implementasi Metode Jaringan Saraf Tiruan Backpropagation Untuk Memprediksi Harga Emas
Authors: Nico Nico  , Pipin Farida Ariyani
Published: January 2025

Investasi logam mulia seperti emas telah menjadi salah satu perencanaan investasi yang cukup diminati oleh masyarakat di Indonesia. Komoditas seperti emas dapat dikatakan sebagai salah satu jenis utama yang banyak dipilih oleh para investor untuk mendapat keuntungan dalam jangka panjang. Namun bagi para investor pemula yang baru tertarik ke investasi ini akan menemui kesulitan dalam menentukan kapan saat yang tepat untuk melakukan pembelian atau menjual emas karena harganya yang cukup fluktuatif. Oleh sebab itu, tujuan dari kenapa dilakukan penelitian ini adalah dibuatnya sistem untuk bisa melakukan prediksi harga emas di masa depan sehingga dapat menjadi salah satu alat bantu untuk investor khususnya para pemula dalam mengambil keputusan untuk menjual atau membeli emas agar bisa mendapatkan keuntungan yang diinginkan. Dalam memprediksi harga emas diperlukan metode dengan akurasi yang cukup tinggi, karena itu penulis menggunakan suatu algoritma yaitu backpropagation yang merupakan salah satu metode prediksi dari jaringan saraf tiruan. Data yang digunakan dalam penelitian ini adalah kumpulan data harian naik turunnya harga emas mulai dari tanggal 2 januari 2019 sampai dengan 27 Juni 2024 dengan total 1814 data, kemudian data tersebut dibagi menjadi 2 bagian yakni data untuk pelatihan sebesar 80 persen dan data untuk pengujian sebesar 20 persen. Hasil dari beberapa variasi percobaan pada penelitian ini menunjukkan bahwa variasi yang memiliki akurasi paling baik adalah arsitektur dari JST backpropagation dengan jumlah untuk neuron input adalah 3, neuron hidden adalah 3 dan neuron output adalah 1 dengan parameter iterasi sebesar 1000, laju pembelajaran (nilai Alpha) adalah 0,3 dan Toleransi Eror adalah 0,0001 menghasilkan Mean Square Error (MSE) pada saat dilakukan proses pelatihan senilai 0,00031608, kemudian pada saat dilakukan proses pengujian memiliki nilai eror sebesar 0,587 dan tingkat akurasi sebesar 99,413%. Penelitian ini dapat dilanjutkan dengan membuat program yang bisa dioptimalisasi dengan fungsi pembelajaran lebih lanjut, contoh seperti Resilient Backpropagation, One-Step Secant, dan metode optimasi lainnya
Chaurette contre Shakespeare : de Richard III aux Reines
Authors: Jardon-Gomez François
Published: January 2025

Cet article porte sur la posture d’amour/haine qu’entretient l’auteur Normand Chaurette devant l’œuvre shakespearienne. L’analyse de la pièce Les Reines, née d’une traduction abandonnée de Richard III, montre que Chaurette joue avec les limites des concept d’adaptation et de traduction, d’autant plus que la pièce s’écrit à partir de plusieurs autres textes du Barde anglais, entre autres sources. Ce texte, engendrant un univers shakespearien reconnaissable et insolite, s’inscrit dans la dramaturgie de Chaurette qui remet en question la résolution des conflits et déconstruit les lois du genre de la tragédie en explorant la folie des reines, tout en fragmentant l’œuvre originale. Le dramaturge québécois se également sert de sa pièce comme lieu privilégié d’une réflexion sur le théâtre – ce qui également vrai pour l’ensemble de sa dramaturgie –, en faisant sortir ses reines du musée shakespearien pour les faire entrer dans son imaginaire.
“Our Shakespeare… For he is all of ours, is he not?” Enjeux du barbicide fictionnel dans Anonymous
Authors: Lefait Sébastien
Published: January 2025

Cet article porte sur les modalités de la haine envers Shakespeare. Il en évalue les enjeux culturels au fil d’une analyse d’Anonymous (Roland Emmerich, 2011), film qui fait de Shakespeare un simple prête-nom, et défend en apparence la théorie selon laquelle Edward de Vere, 17e comte d’Oxford, est le véritable auteur du corpus. Néanmoins, le film est moins une défense de la théorie oxfordienne qu’une réflexion sur l’importance de l’anonymat qui prévaut sur la notion traditionnelle d’identité. Cet angle original oppose la vision d’un Shakespeare politique au Shakespeare romantique de Shakespeare in Love (John Madden, 1998). Au terme de l’analyse, l’auteur des œuvres, même privé du nom de Shakespeare, apparaît comme le héraut d’un théâtre politique susceptible de contrer les puissants, et comme le défenseur anachronique de ce que l’on appellerait aujourd’hui « liberté d’expression ». Le masque de l’anonymat apparaît donc comme le vecteur du politique mais également d’un accès partagé au capital culturel qui est désigné sous l’appellation courante de « Shakespeare ».
De la « Rose de Nankin » à Cheng Yanqiu : les acteurs chinois sur la scène française (1850-1950)
Authors: Lo Shih-Lung
Published: January 2025

Suite à la guerre sino-anglaise de l’opium (1838-1842) et à l’ouverture chinoise de l'après-guerre, les Chinois (y compris les acteurs de théâtre), qui n’étaient pas autorisés à quitter leur pays, se rendent de plus en plus à l’étranger. En raison de la langue qu’utilisent les acteurs chinois – itinérants ou invités –, le « répertoire » connu des spectateurs français reste souvent dans le registre de l’exotisme. Les témoignages des contemporains, quoique assez rares, nous permettent de retracer la conceptualisation de cet exotisme chinois et son passage vers un art apprécié par les artistes du XXe siècle. Dans cet article, nous essayons d’initier une enquête historique, de résumer les spectacles donnés par les Chinois au long de l’époque étudiée (1850-1950), et d’analyser les influences apportées par les comédiens chinois.
DEAMGO ERITMASI YORDAMIDA METALLARNI AMPEROMETRIK ANIQLASHDA INERT ERITUVCHILAR TABIATI VA KONSENTRATSIYASINING O‘RGANILADIGAN ERITMALARNING ELEKTRO‘TKAZUVCHANLIGIGA TA’SIRI
Authors: Safarova Guljaxon Eshtemirovna
Published: January 2025

The aim of this study is to determine the amount of palladium(II), silver(I) and mercury(II) ions in natural objects and industrial materials using a solution of diethylamino-4-methylhexin-2-ol-4 (DEAMGO) in anhydrous and mixed media, develop titration methods and optimize conditions.
The nature and concentration of background electrolytes, inert solvents, acids and other factors are determined in the course of the study by amperometric determination of the metals palladium(II), silver(I) and mercury(II) without water using diethylamino-4-methylhexyn-2-ol. -4 solutions in the development of methods and optimization of conditions, studies were conducted on the influence of the nature and concentration of inert solvents on the electrical conductivity of the solutions under study.
Amperometric, potentiometric, conductometric and other titrations can be carried out by determining the electrical conductivity of anhydrous and mixed media, since obtaining accurate and reproducible results depends on the nature of anhydrous and mixed solutions. Therefore, establishing the electrical conductivity of such media containing metal salts of various natures is one of the urgent problems of modern physics, analysis and electrochemistry.
Landscape Evolution and Cenozoic Sea-Levels of the Geographe Bay Hinterland, Southwestern Australia
Authors: Gee R. Dennis
Published: January 2025

The Busselton area in southwestern Australia is characterised by three distinct coastal plains along the foot of Whicher Range that formed mainly by marine attrition during progressive sea-level falls through the Cenozoic and, to a lesser extent, erosion by long-lived rivers. None of the geological and geomorphic units, all of which overlie the Lower Cretaceous Leederville Formation, show evidence of tectonic tilting so, in the absence of masking dune systems, this area offers a reference for Cenozoic global sea levels.

The oldest landform, a marine erosional surface at 112–166 m ASL on Whicher Range, is a remnant of the Blackwood Plateau capped by in situ laterite of likely Eocene age. The Whicher Scarp, with relief of about 120 m, formed by marine erosion removing much of the Leederville Formation during a progressive Eocene–Miocene sea-level fall (~43–13 Ma). At 72–83 m ASL, the Yelverton Bench represents a probable Miocene stillstand during this fall. The scarp below this bench is characterised by a piedmont laterite lithologically and spatially distinct from the older plateau laterite on Whicher Range. The toe-line at 41 m ASL marks the base of the Whicher Scarp and the beginning of the coastal plains—it represents the geomorphic expression of a buried Pliocene (~2.8 Ma) erosional surface at 29 m ASL.

At 21–41 m ASL, the Ambergate Plain is a terrestrially re-sedimented marine erosion surface covered by continuous strand facies of the upper Pliocene Yoganup Formation, which in turn is overlain by lateritized clay that may correlate with the Pliocene–Pleistocene Guildford Formation. The main heavy-mineral strands formed as ancestral shorelines and are embedded within the Yoganup Formation across the entire Ambergate Plain. The Cemetery Scarp, with a relief of 11 m and associated erosion surface at 5 m ASL, cuts into the Ambergate Plain and probably formed during an early Pleistocene interglacial highstand, possibly MIS 11 (~400 ka).

The Ludlow Plain at 3–5 m ASL is covered by low eolian swales and ridges of shelly calcareous sand up to 6 m thick containing coral fragments of possible MIS 5e (~124 ka) age attributed to the Tamala Limestone, which marks the beginning of marine platform carbonate production. The Busselton Wetland Plain was formed during a gentle recession after the Holocene highstand at 7.5 ka following the last glacial maximum and is recognised from a low scarp on the seaward edge of the Ludlow Plain. Although the Capel River has a history spanning the last 30–40 Ma, most rivers draining the scarp postdate the Pliocene. The build-up of barrier beach dunes during the last 7500 years next to the present coast has diverted rivers on the Wetland Plain and forced outlets to Geographe Bay to migrate laterally. Lateritization was episodic, principally in the Eocene, Miocene and Pliocene, but after the deposition of the Guildford Formation, did not extend through the Pleistocene or Holocene.
My Fifty Shades of Grey: The Ambivalenceof Sexism in E.L. James Erotica
Authors:   Polytechnic University of the Philippines-Manila, Sunga Agnes
Published: January 2025

his paper focuses on the manifestation of two forms of sexism in the popular novel of E.L. James. By making use of content analysis, a method used to obtain the objective, systematic, and content manifest of communication, this research seeks to find a weave of similar patterns present in the literary work. The representation of patriarchy, sexism, and gender stereotypes through the characters, plot, setting, theme, and literary symbols employed in the story were used as coding categories in the novel. The author made use of Glick and Fiske’s concept of hostile and benevolent sexism to create a distinction between two forms of sexism that were present in two literary works. The former is the most common and antagonistic way of discriminating and dominating women, while the other can elicit positive responses and is usually attributed to a display of good character like chivalry. Through this distinction, the study explores how this popular literature continues to propagate gender stereotypes. It examines how different media such as film, television, and popular literature, in particular, continue to serve as powerful platforms of ideology/models on how women willcome to define themselves in relation to the “other.”
Empowered Mother, Healthy Child: The Role of Women Economic Empowermentin the Achievement of Better Child HealthOutcomes in the Philippines
Authors:   Pangasinan Polytechnic College, Bermas Cheenie Rose , Monsura Melcah ,   Polytechnic University of the Philippines-Manila
Published: January 2025

This study contributes to the emerging literature that supports the link between women’s economic empowerment and better child health outcomes. Utilizing secondary data from the 2017 Philippine National Demographic and Health Survey, the status of women empowerment as represented by women’s education, employment, and intrahousehold bargaining power and the status of child health outcomes in terms of antenatal care, childhood immunization, and under-5 mortality were analyzed in this research. The findings can be connected with the current health crisis being experienced in the Philippines. The recent Pertussis outbreak showed that there is a need for urgent action to improve the health service delivery and utilization in the country, especially in the area of childhood immunization. This is consistent with the findings of this study which showed that out of the three child health outcomes considered, only childhood immunization showed unfavorable results with only 26.30% of the children considered as fully immunized. One possible channel through which child health outcomes could be improved is through women’s economic empowerment. In the Philippines, the performance of the country in the areas of education and intrahousehold bargaining power yielded favorable results. Among the women interviewed, 1.65% and 2.6% have no formal education and have low empowerment, respectively. Improvements in these areas, however, should be translated to better access to economic opportunities and improved participation of women in the labor force as this highlights and recognizes the need to optimally develop and utilize women’s productive capacities.
Construcción de viviendas de interés social desde la perspectiva de los materiales sostenibles en Cuilapam de Guerrero, Oaxaca
Authors: Rojas Pérez Luis Ángel , Ruiz Ríos Jaime
Published: January 2025

This research project analyzes the use of sustainable materials in the construction of social housing in Cuilapam de Guerrero, Oaxaca, with emphasis on energy efficiency, reducing environmental impact and strengthening cultural identity. The research suggests that the incorporation of local materials, such as adobe, and the use of renewable energy in construction can improve the quality of life of communities, while reducing the carbon footprint of the sector. Through the evaluation of materials such as adobe, bamboo, stone, wood and recycled concrete, the study identifies that adobe excels in sustainability thanks to its local origin, its low environmental impact, its thermal insulation capacity and its durability. Additionally, construction budgets were prepared to compare costs and feasibility of sustainable materials versus traditional ones, demonstrating that it is possible to achieve a balance between sustainability and cost. The project also highlights the social and cultural value of adobe, a traditional material that contributes to preserving architectural heritage and promoting the local economy. However, challenges are identified, such as the need for specialized labor and treatments that improve its resistance to humidity, which can be addressed with community training.
Integración de la gobernanza de datos en la formación docente: Un modelo innovador en Eduplanet, Ecuador
Authors: Haro Calero Ricardo David , Cárdenas Velasco Kléver Gonzalo , Cóndor Chano Byron Santiago , Haro Calero Héctor Fernando
Published: January 2025

This study investigated the integration of data governance in teacher training at Eduplanet, emphasizing its potential to enhance educational quality and administrative processes. The main objective was to analyze the implementation of the DAMA model as a strategic framework to strengthen the digital competencies of teaching staff, optimizing both pedagogical effectiveness and administrative efficiency. A mixed-methods approach was adopted, combining statistical analysis of quantitative data obtained through structured questionnaires with qualitative analysis derived from semi-structured interviews conducted with a purposive sample of 12 teachers. The results showed a significant positive correlation between data governance competencies and teaching effectiveness (r=0.98), as well as administrative efficiency (r=0.78), highlighting the cross-cutting impact of these skills. The findings underscore the importance of implementing differentiated training programs to reduce gaps across experience levels and maximize the benefits of data use in education. For Eduplanet, these conclusions reinforce its strategic position as an innovative institution in Ecuador, providing a replicable framework for adopting data-driven practices aligned with international standards.
SPATIAL DISTRIBUTION OF MICROMYCETES IN ZAILIYSKOYE AND KUNGEI ALATAU
Authors:   Institute of Botany and Phytointroduction, Sypabekzy G. , Rakhimova E. ,   Institute of Botany and Phytointroduction, Kyzmetova L. ,   Institute of Botany and Phytointroduction
Published: January 2025

Информация о пространственном распределении микромицетов в Заилийском и Кунгей Алатау либо отсутствует, либо является устаревшей, поэтому целью нашего исследования было изучение распределения микромицетов на территории исследований по ущельям и абсолютным высотам. Материалы для исследования были собраны в 2018-2023 гг. и хранятся в гербарии Института. Определение и идентификация грибов проводились по стандартной методике. Список грибов-микромицетов, обнаруженных на территории исследований включает 1123 вида. На территории Заилийского Алатау максимальное количество видов микромицетов отмечено в Малом Алматинском ущелье, Большом Алматинском и Талгарском ущельях, тогда как в Кунгей Алатау – в ущелье Кольсай. Анализируя распределение видов микромицетов по абсолютным высотам над уровнем моря, можно отметить, что максимальное количество видов оомицетов характерно для 1500-2100 м, устилагиномицетов – 700-1100 м, пукциниомицетов – 1900-2100 м, аскомицетов – 1700-1900 м. Между Заилийским и Кунгей Алатау выявлена низкая степень сходства видового состава микромицетов (Ksc = 0,122). Общими для их территории являются 166 видов, что составляет 14,8 % от общего числа видов
CONSERVATION OF THE DIVERSITY OF BOTANICAL GARDEN COLLECTION WITH THE USE OF IN VITRO TECHNIQUES
Authors:   Botanical garden named after acad. F.N. Rusanov of the Institute of Botany of the Academy of Sciences of the Republic of Uzbekistan, Hazratov A. , Juraeva H. ,   Botanical garden named after acad. F.N. Rusanov of the Institute of Botany of the Academy of Sciences of the Republic of Uzbekistan, Mustafina F. ,   Botanical garden named after acad. F.N. Rusanov of the Institute of Botany of the Academy of Sciences of the Republic of Uzbekistan, Abdinazarov S. ,   Botanical garden named after acad. F.N. Rusanov of the Institute of Botany of the Academy of Sciences of the Republic of Uzbekistan
Published: January 2025

The results of in vitro reproduction of species from the collection of the Tashkent Botanical Garden are presented in this article. All information on introducing the species into in vitro culture is scientifically based
MORPHOLOGY AND GROWTH FEATURES OF SEEDS OF SOME RARELY ENCOUNTERED SPECIES OF ILI ALATU
Authors:   Institute of Botany and Phytointroduction, Izatulla Zh. , Myrzabekova D. ,   Institute of Botany and Phytointroduction
Published: January 2025

Мақалада Iridodictyum kolpakowskianum (Regel) Rodion, Сrосиѕ alatavicus Regel & Semenow және Colchicum kesselringii Regel эндемикалық өсімдіктерінің морфологиялық белілері мен тұқымдардың зертханалық жағдайда өну сипаттамасы келтірілген
SEED PRODUCTIVITY OF PROMISING ESSENTIAL OIL SPECIES AGASTACHE FOENICULUM AND HYSSOPUS OFFICINALIS IN THE CONDITIONS OF THE TASHKENT BOTANICAL GARDEN
Authors:   Tashkent Botanical Garden named after F.N. Rusanov at the Institute of Botany of the Academy of Sciences of the Republic of Uzbekistan, Fakhriddinova D. , Khamraeva D. ,   Tashkent Botanical Garden named after F.N. Rusanov at the Institute of Botany of the Academy of Sciences of the Republic of Uzbekistan
Published: January 2025

В данной статье приведены результаты изучения показателей семенной продуктивности у двух интродуцированных растений Agastache foeniculum (Pursh) Kuntze и Hyssopus officinalis L. в условиях Узбекистана. Установлено, что растения четырехлетнего возраста жизни по сравнению с двухлетними особями отличаются более высокими показателями реальной семенной продуктивности
Research on Multi-Objective Trajectory Planning for Industrial Robots Based on Machine Learning
Authors: Shen Kexuan
Published: January 2025

This study proposes a machine learning-based method to address the multi-objective trajectory planning problem for industrial robots. First, the kinematic model of the industrial robot is constructed, and the multi-objective trajectory planning problem is analyzed. Then, a machine learning-based trajectory planning framework is designed, including key steps such as feature engineering, model selection, and training. Subsequently, a multi-objective optimization algorithm is proposed to balance multiple objectives in trajectory planning. Finally, the effectiveness of the proposed method is validated through simulation experiments and practical application cases. The results show that this method significantly improves the efficiency and accuracy of industrial robot trajectory planning, providing a new solution for the field of intelligent manufacturing.
Chemicals Pollution Level Detection Based on Image Gray Difference
Authors: Zang Leyuan , Wang Ruohan , Xu Zhenwu , Wang Han , Liu Lu
Published: January 2025

Due to the complexity of environmental changes in chemical plants, the concentration of some polluted gases is affected and decreased, which changes the pixel characteristics of chemical pollution, resulting in deviations in the grade detection results of existing chemical pollution level detection methods. Therefore, a method for detecting chemical pollution level based on image gray difference is presented. Video images of chemical pollution were extracted by inputting chemical pollution images and selecting chemical pollution characteristic parameters. The intensity of chemical pollution was calculated by image gray difference algorithm, and the gray pixel characteristics of chemical pollution image were classified to realize the detection of chemical pollution level. The experimental results show that the proposed method has more successful times in detecting chemical pollution level and less error rate in detecting results. It can effectively improve the shortcomings of existing chemical pollution level detection.
From Data to Decisions Exploring the Role of Data Analysis in Big Data
Authors: Zhang Jianbing
Published: January 2025

With the rapid growth of big data, data analysis plays an increasingly important role across various industries. This paper explores the key techniques, applications, and challenges of data analysis in the context of big data. It begins by defining big data and its characteristics, focusing on the methodologies used in data analysis, such as statistical analysis, machine learning, and artificial intelligence. The paper then examines the real-world applications of data analysis in sectors like healthcare, finance, marketing, and e-commerce, showing how it drives decision-making, optimizes operations, and fosters innovation. The challenges of data quality, scalability, and privacy concerns are also discussed. Finally, the paper looks ahead at emerging trends such as real-time analytics, AI-driven analysis, and automated data processing, and reflects on the evolving role of data scientists and analysts in strategic decision-making. Effective data analysis will be key to future innovation and business success.
Optimizing Supply Chains in the Food and Beverage Industry through Digital Transformation
Authors: Liu Xuanyu
Published: January 2025

This article explores the role of digital transformation in optimizing supply chains within the food and beverage industry. It highlights the key technologies driving supply chain efficiency, including the Internet of Things (IoT), artificial intelligence (AI), blockchain, and automation. By implementing these technologies, companies are overcoming supply chain challenges such as inefficiency, high costs, inventory management, and product traceability. The article also examines best practices for implementing digital solutions, along with real-world examples from leading food and beverage companies that have successfully integrated digital technologies. These companies have enhanced transparency, improved demand forecasting, reduced waste, and streamlined operations. Looking ahead, advancements in 5G, edge computing, and sustainability initiatives are expected to shape the future of supply chain optimization. Digital transformation is no longer optional for food and beverage companies aiming to stay competitive and responsive in a rapidly evolving market.
La historia de la Universidad de Málaga a través de sus catedráticas (1972-2022)
Authors: Rojo Gallego-Burín Marina
Published: January 2025

El libro La Historia de la Universidad de Málaga a través de sus catedráticas (1972-2022) es un texto dedicado a una institución que se adentra a su etapa de madurez, pues ha cumplido cincuenta años, y también a una parte de sus protagonistas, aquellas que son las minoritarias dentro de ella, sus catedráticas. Presentamos una obra que tiene un doble objetivo. Por una parte, contribuir al estudio de la historia de la Universidad de Málaga y, por otra, reconocer la trayectoria de algunas de las mujeres pioneras que han alcanzado el primer puesto en el escalafón docente en ella.Este libro se inicia con una síntesis sobre la historia, jalonada de obstáculos, de la mujer en la Universidad, por mor de comprender el contexto histórico en el que nos situamos. Tras un estudio completo sobre la historia de las catedráticas de la UMA, conocemos el testimonio de algunas de las primeras catedráticas, a fin de recoger tanto los sucesos ocurridos en el devenir de sus vidas como sus valoraciones sobre la realidad universitaria. Esto nos posibilita construir un relato de la historia de la Universidad de Málaga a través de sus protagonistas, algo nunca realizado hasta la fecha.