bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Long-Term Electricity Forecasting Analysis: A Case Study of Load Dispatch Centres in India
Authors: Gochhait Saikat , K. Sharma Deepak , Bachute Mrinal
Published: July 2024

Accurate long-term load forecasting (LTLF) is crucial for smart grid operations, but existing CNN-based methods face challenges in extracting essential features from electricity load data, resulting in diminished forecasting performance. To overcome this limitation, we propose a novel ensemble model that integrates a feature extraction module, densely connected residual block (DCRB), long short-term memory layer (LSTM), and ensemble thinking. The feature extraction module captures the randomness and trends in climate data, enhancing the accuracy of load data analysis. Leveraging the DCRB, our model demonstrates superior performance by extracting features from multi-scale input data, surpassing conventional CNN-based models. We evaluate our model using hourly load data from Odisha and day-wise data from Delhi, and the experimental results exhibit low root mean square error (RMSE) values of 0.952 and 0.864 for Odisha and Delhi, respectively. This research contributes to a comparative long-term electricity forecasting analysis, showcasing the efficiency of our proposed model in power system management. Moreover, the model holds the potential to sup-port decision making processes, making it a valuable tool for stakeholders in the electricity sector.
CANVA as a Digital Tool for Effective Student Learning Experience
Authors: Jamaludin Nabila Farhana , Sedek Siti Farahin
Published: July 2024

In the current era of rapid technological advancements, educators are actively seeking appropriate digital multimedia tools to enhance students' learning experiences. Access to such resources is crucial for preparing students for the job market and ensuring their success. Digital note-taking has become a popular method of engagement, organizing, and composing comprehensible notes. The emergence of mobile technology has facilitated the shift from traditional note-taking to "digital note-taking." This study explores the effects of digital note-taking using CANVA, a popular digital tool, on students' academic achievement levels. CANVA for Education provides educators with a user-friendly platform for creating visually appealing and collaborative learning resources. It promotes project-based learning, enhances creativity and collaboration skills, and offers readily accessible features that contribute to a positive learning environment. This study aims to examine whether using CANVA significantly impacts students' performance compared to non-CANVA approaches. Additionally, it seeks to gather students' perspectives on the integration of CANVA for an effective learning experience. The study incorporates training, assistance, and feedback through questionnaires to evaluate the effectiveness of CANVA as a note-taking and teaching tool. The results show that the majority of students familiarized themselves with CANVA and preferred it over Microsoft PowerPoint for creating comprehensive and visually appealing notes. The findings suggest that CANVA enhances engagement, comprehension, and cognitive development during class activities, leading to positive learning outcomes. This study contributes to understanding the benefits of using CANVA as a digital tool for effective notetaking and teaching in classroom activities.
The role оf creativity оf Technical University teachers in accomplishing the educational tasks in the conditions of war
Authors: ВИНОСЛАВСЬКА О.В.
Published: July 2024

The need to continue the engineers’ training at technical universities under the full-scale war conditions caused teachers to show creativity in inventing effective ways of solving educational tasks. The article presents the findings from a survey of technical university students regarding the creativity of their teachers in the application of advanced educational technologies during laboratory classes in the conditions of distance or mixed learning. Students studying at master’s programs in computer science, materials science, electrical engineering and electro-mechanics took part in the survey. Respondents reported that remote delivering of laboratory classes in the field of computer science is an effective format that enables flexibility and accessibility of learning due to the creative use of the advanced information technologies by teachers. At the same time, during delivering laboratory classes in the field of materials science, electrical engineering and electromechanics, teachers have to create optimal variants for mixed learning aimed at finding opportunities for students’ practical training in laboratories equipped with modern devices. Therefore, the expediency of using distance or mixed learning in a technical university is determined by the specifics of the scientific field in which students get their education.
Imagery reframing as a method of psychological first aid to students in war conditions
Authors: КУЧЕРЕНКО С.
Published: July 2024

Imagery reframing (based on an image rather than cognitive constructs) is a technology of short-term psychological assistance (from 1 to 7 meetings), whichincludes psychological diagnosis using the author’s psychosemantic methodology “Color-associative experiment”, psychological counseling on changing the framework of the problem and its solution, art therapy techniques for expanding and transforming frames as stereotypes of thinking, work with the author’s deck of metaphorical associative pictures “Reframing” and written recording of achievements in the “Diary of Self-Awareness” or in the form of a drawing, photograph or any image. This technology is a specific, empirically tested sequence of actions aimed at moving the subject beyond the usual vision of the problem and, accordingly, its solution. The technology is based on the post-nonclassical (psychotechnical) paradigm in psychology.
Training future teachers for professional English-language communication in war conditions
Authors: ПІНЧУК І.О. , ГОРДІЄНКО С.С.
Published: July 2024

The orientation of national higher education towards European standards involves the training of competent specialists capable of professional English-language communication. Therefore, the article describes the results of a study aimed at training future teachers for professional English-language communication in wartime. To achieve the goal, a set of methods was used: analysis of scientific sources, educational regulatory documents, questionnaires, interviews, graphic methods. The author analyses and reveals the peculiarities of the challenges of the educational process in higher education institutions in wartime. The article investigates the specifics of future teachers’ training for professional English-language communication in the context of distance learning. The analysis of the research results has shown that the most effective approaches to organizing the educational process for training future teachers in professional English communication are: emphasis on communication skills, preparation for teaching in extreme conditions, use of innovative technologies, cultural competence training, psychological training.
Assessment of risks and vision of perspectives design education in Ukraine during the war
Authors: РОМАНЕНКОВА Ю.В.
Published: July 2024

The article aims to update the problems of modern design education in Ukraine, deepened with the beginning of the war. The main problem areas of educationin the field of design are highlighted, their causes, dangers associated with a rapid drop in the level of education and interest in it on the part of the younger generation are outlined. The main problematic issues of design education of the last two years, due to the state of war, which caused the deepening of the dangerous situation, are emphasized. The importance of the role of experiments in the field of education in the field of design, the shortcomings of the introduction of new educational programs as a method of maintaining the interest of the younger generation in continuing education at the second educational level, which interest has rapidly fallen, is emphasized in the material, the reasons for which are highlighted in the material.
The relationship of leadership qualities with coping strategies in the war period among youth
Authors: ХАРЦІЙ О.М.
Published: July 2024

Subject of research: leadership qualities and their relationship with coping strategies in the wartime period among young people. The purpose of the study: to study the development of leadership qualities and their relationship with coping strategies in the wartime period among young people. The main objectives of the study: 1) To conduct a theoretical analysis of the problem of leadership and an analysis of leadership qualities among young people. 2) Investigate the theoretical and methodological foundations of studying the relationship between leadership qualities and coping strategies. 3) To conduct an empirical study of the relationship between leadership qualities and coping strategies during the war period among young people. 4) Develop practical recommendations for the development of leadership qualities through the use of coping skills among young people. The practical significance: The results of the study can be of practical importance for the development of programs and educational materials aimed at the development of leadership qualities and coping strategies among young people in the period of conflict. Practical recommendations can be applied in preventive and corrective work to form more adapted behavior. Scientific novelty: The use of positive coping for the development of leadership qualities among young people.
The Impact of Artificial Intelligence on Digital Media Content Creation
Authors: Hussain Abuelainin
Published: July 2024

This study explores the impact of Artificial Intelligence (AI) on digital media, focusing on content creation, recommendation systems, and user engagement. A comprehensive literature review was conducted, synthesizing existing studies and scholarly articles on the subject. A mixed-methods approach was employed, involving in-depth discussions with industry professionals and a survey administered to digital media platform users. The findings revealed that AI has significantly transformed content creation, with AI-generated content being encountered by 78% of users. Most users found the content to be relevant and of good quality; however, concerns about authenticity and biases were raised. AI-driven recommendation systems were prevalent, with 62% of users utilizing them. The majority found the recommended content to be useful and relevant. Trust levels varied, with 48% expressing moderate to high trust. Transparency and explainability were emphasized by 81% of users. The study concludes by providing recommendations for enhancing authenticity, addressing biases, increasing user education, and ensuring ethical considerations in AI applications in digital media. These findings contribute to our understanding of the implications of AI in digital media.
The Effect of a Nature-Based Environmental Education of Children: The Importance of Environmental Knowledge and the Connectedness to Nature, Together, are Related to Ecological Behavior and Environmental Attitude
Authors: Chunyan Zheng , Agarwal Nidhi , Islam Aminul
Published: July 2024

There is a lack of rigorous research studies investigating the impact of nature-based training on environmental activism, so the outcomes remain uncertain. As a consequence, making statements regarding causation and providing suggestions for actions becomes more difficult. The authors of the paper provide a comprehensive analysis of the results obtained from an experiment that examined the influence of a nature-based environmental education (NBEE) curriculum on the environmental attitudes (EA) and behaviours (EB) of pupils. The control group included the children who participated in the course while continuing their attendance at conventional schools. The venture included seven primary schools in Spain. Classes were randomly allocated to either the NBEE programme or the regular environmental education (EE) curriculum at each school. Our study revealed that the group of youngsters who received NBEE showed a substantial increase in EA growth compared with the control group. The average incidence of EB in both groups of kids remained rather stable throughout time. The results of our research support the notion that including a nature-centered teaching approach within formal educational programmes might be advantageous in cultivating students' awareness and concern for the environment.
Le formulaire de visite-conseil : un compte-rendu entre formation, préconisation et évaluation
Authors: Garbarg-Chenon Julien
Published: July 2024

Les professeurs des écoles, durant leurs deux premières années d’exercice, bénéficient d’un dispositif de formation accompagnant leur entrée dans le métier. Dans ce cadre, les conseillers pédagogiques formateurs d’enseignants du premier degré organisent des visites conseils dans les classes. Lors d’une visite-conseil, le formateur se rend sur site, observe une ou plusieurs séquences d’enseignement puis s’entretient avec l’enseignant néotitulaire afin de l’aider à analyser sa pratique et le conseiller. Après cet entretien, un formulaire de visite-conseil est transmis à l’observé.e mais aussi, le plus souvent, à l’autorité hiérarchique.Cette rédaction relève de l’usage. Il n’y a pas d’instruction à ce sujet. La forme du document n’est pas stabilisée, interdisant a priori de parler de genre discursif. La dénomination varie même d’un conseiller à l’autre. Le formulaire de visite-conseil est donc un écrit professionnel à géométrie variable, qui participe au processus de formation des enseignants débutants sans avoir le statut d’un écrit formatif officiel.Comment fonctionne l’intention formative à l’œuvre dans ce type d’écrit ? Par des relevés de marques discursives, on identifiera différentes constantes assurant l’émergence de deux postures principales de conseil ayant des échos en sciences de l’éducation.
Les réunions et leurs épisodes formatifs : l’apprentissage d’un savoir professionnel dans l’interaction sociale
Authors: Lefebvre Augustin
Published: July 2024

Cet article prend appui sur un corpus vidéo recueilli lors de réunions entre des travailleurs sociaux, des bénévoles et des usagers au sein d’une association parisienne dont la mission est de fournir des logements à des personnes précaires. Les réunions enregistrées sont tenues dans le cadre de l’évaluation interne de l’association, au cours de laquelle les travailleurs sociaux passent en revue et évaluent leurs pratiques professionnelles, l’enjeu étant d’identifier les aspects qu’ils pourraient améliorer. Dans la perspective de l’analyse conversationnelle (Sacks, Schegloff et Jefferson 1974), cet article propose l’étude de ce que l’on appellera des épisodes formatifs – c’est-à-dire des occasions non planifiées d’apprentissage – lors de réunions dont les participants appartiennent à des catégories socio-professionnelles hétérogènes, caractérisées par des savoirs et des expériences asymétriques. Un épisode formatif peut être soit hétéro-initié – l’occasion d’apprentissage émerge après une correction initiée par un autre participant – soit auto-initié – l’occasion d’apprentissage est générée par le participant identifié comme non-professionnel. L’épisode formatif repose alors sur la capacité du participant à ajuster son savoir spécifique aux attentes d’une activité professionnelle.
“May God preserve us from evil sicknesses”: Grammar, Arabic origin, and pragmatics of request prayers in Bambara (Mande)
Authors: Dombrowsky-Hahn Klaudia , Zappa Francesco
Published: July 2024

Dùgawu, petitionary or request prayers, are ubiquitous in the lives of Bambara speakers. Leave-taking or good-night wishes, wishes of success, of quick recovery to a sick person, encouragement to accomplish a difficult task, the expressions of gratefulness, the call for divine protection or for a good fate for the dead are all uttered in the form of blessings. Even curses can be encoded as dùgawu. Imitating the pattern of request prayers in Arabic, dùgawu can be described as a genre of communicative exchanges including a request in a fixed syntactic structure, and a confirming response. This article provides a linguistic description of request prayers, focusing on two possible syntactic patterns of encoding that are perfectly equivalent to each other, as well as on their syntactic peculiarities in comparison to the syntax elsewhere in the language. Furthermore, we examine abbreviated request prayers. We suggest interpreting them as instances of a strong conventionalization that might also entail a secularization process. Finally, we discuss hypotheses of the origin of dùgawu, highlighting the role of traditional Islamic education as a probable source and illustrate request prayers used in different communicative situations.
Noun classes and their agreement in Ginyanga (Kwa)
Authors: Pozdniakova Victoria , Aplonova Katya
Published: July 2024

This paper features an overview of the Ginyanga (< North Guang < Kwa) noun class system and agreement. Based on agreement, we define 8 noun classes, 3 of which are singular, and the others are plural. Classes are marked on the noun with prefixes. Agreement classes are further divided into nominal form subclasses that share the agreement paradigm but feature different noun prefixes. Singular/plural pairings and semantic correlates of each class are discussed, in particular, the role of the semantic parameter of animacy. Class-marking alternation is observed both in singular/plural pairings and derivational processes (diminutive formation), which is characteristic of active noun class systems. The following agreement contexts are reviewed: class agreement of cardinal numerals, demonstratives, subject-verb and pronominal agreement. Our study puts Ginyanga data into a micro-typological perspective, adds to the evidence of a rich class system that should have existed in Proto-Guang and contributes to the typology of noun classes in West African languages.
La scénographie dans l’œuvre d’Herbert Bayer : les expositions d’architecture, 1923-1938
Authors: Vanryb Anne Monier
Published: July 2024

Élève modèle du Bauhaus, Herbert Bayer expérimente et exerce dans un grand nombre de champs artistiques, tour à tour photographe, peintre, typographe, publicitaire, scénographe, architecte, sculpteur, designer, urbaniste ou land-artist, toujours animé par l’idée que le designer n’est jamais inférieur, du point de vue artistique, à ce que l’on peut appeler « l’artiste libre ». Bayer n’est pas pour autant un indécis ou un touche-à-tout. Se diversifier à l’extrême ne signifie pas pour lui se disperser, il s’agit plutôt de réunir les compétences pour bâtir une œuvre d’art totale, véritablement capable d’agir sur le spectateur. Les réalisations scénographiques de Bayer, qui apportent des innovations décisives pour le développement de la discipline, scandent comme autant d’étapes sa quête vers une œuvre d’art globale.Au Bauhaus, où il étudie entre 1921 et 1925, puis enseigne entre 1925 et 1928, Bayer acquiert un ensemble de connaissances qui seront déterminantes pour sa pratique de la scénographie, et les met en pratique dans l’exposition « Staatliches Bauhaus in Weimar » de 1923, qui comporte un volet dédié à l’architecture contemporaine. Il s’inscrit ainsi dans un mouvement de renouveau de la Museumsinszenierung dans l’Allemagne de l’entre-deux-guerres.  En 1930, Bayer organise, avec Gropius, Marcel Breuer et László Moholy-Nagy la participation du Werkbund au XXe Salon de la Société des artistes décorateurs. Différents espaces d’un Wohnhotel sont exposés, mettant ainsi en avant l’impact social de l’architecture. La scénographie, en donnant l’impression de visiter un véritable immeuble d’habitation collective et non sa transposition dans une exposition d’architecture, est primordiale. Cette étape est pour Bayer l’occasion pour lui de théoriser son approche de l’accrochage, mais également d’ancrer le rôle du scénographe dans l’organisation d’une exposition, en se chargeant également du catalogue et de l’affiche.  Il participe l’année suivante à la « Deutsche Bauausstellung », importante exposition d’architecture berlinoise qui rassemble l’ensemble des acteurs du bâtiment. Il s’agit de sa dernière réalisation dans ce domaine. Dans les années 1930 et 1940, Bayer scénographiera des expositions de propagande, pour l’Allemagne, puis pour les États-Unis après son émigration en 1938. Herbert Bayer a ainsi développé, tout au long du XXe siècle, une approche de la scénographie basée sur l’expérience du visiteur, novatrice à son époque et riche en ramifications actuelles.
Diadoque de Photicé : l’invocation continue du nom de Jésus au prisme de la grâce
Authors: Depraz Natalie
Published: July 2024

Dans cette présentation phénoménologique de la théologie anthropologique de Diadoque de Photicé, mon objectif premier est de montrer combien ce saint fut, selon la belle formulation de Jean Meyendorff, « l'un des grands popularisateurs de la spiritualité du désert dans le monde byzantin ». L’expérience spirituelle du goût de Dieu n’est en rien l’apanage d’un cercle d’initiés ni réservée aux moines, parfois idéalisés comme des athlètes de Dieu : c’est la vie tout entière selon l’esprit qui est en jeu, tout l’itinéraire de la foi au quotidien, et pas seulement un état de prière illuminé. C’est pourquoi Diadoque, aujourd’hui encore, peut intéresser. On comprend alors combien pour Diadoque ce chemin expérimental et expérientiel de la vie humaine ne distingue plus, à terme, grâce divine et effort humain. Non qu’il faille confondre les parts respectives de Dieu et de l’humain, mais parce que, comme on le verra, la grâce étant donnée à l’homme dès le baptême, elle se met à opérer de plus en plus, à mesure que l’être humain pratique, fait exercice (askesis), effort (epimeleia), à savoir entre toujours plus, et toujours mieux surtout, dans l’invocation du nom de Jésus. Ainsi, grâce divine et effort humain, œuvrant ensemble, entrent spontanément dans une sorte de danse où ils deviennent à mesure un en deux.
Glycogenic acanthosis of the tongue
Authors: Gotur Suhasini P. , Kamarthi Nagaraju , Wadhwan Vijay
Published: July 2024

Glycogenic acanthosis (GA) is a benign lesion characterized by elevated, small, white plaques commonly detected in the esophageal mucosa. To date, only 6 cases have been reported in the English literature documenting its involvement in the oral cavity. Herein we report a case of large GA on the ventrolateral aspect of the tongue in a 42-year-old male (third case reported on the tongue). Histologically, the lesion was characterized by acanthotic squamous epithelium with glycogen-rich, clear cells located in the upper layers of the epithelium. Since the oral presentation of GA is very rare, it is necessary to document more cases to clarify the clinical features, biological behavior, and management of GA in the future.
Determination of target genes for classified molecular subtypes of triple-negative breast cancer form microarray gene expression profiling: An integrative in silico approach
Authors: Ray Manisha , Banik Suranjana , Sable Mukund N.
Published: July 2024

Background:

Highly heterogeneous triple-negative breast cancer (TNBC) has tough clinical features, which were gradually solving and improving in diagnosis by the molecular subtyping of TNBC.

Aim:

Presently, this study was focused on analyzing the genetic makeup of TNBC subtypes.

Settings and Design:

This study explored the MicroArray expression profiling of differentially expressed genes in molecular subtypes BL1, BL2, IM, luminal androgen receptor, M, and mesenchymal stem-like of TNBC by analyzing the Gene Expression Omnibus dataset GSE167213. Various gene ontologies-based protein–protein interaction (PPI) networks were subtyped TNBC genes. The effect of genetic alteration on TNBC cases was also interpreted.

Materials and Methods:

The MicroArray gene expression profiling was done through R programming and subjected to functional annotation through the database for annotation, visualization, and integrated discovery. The PPI networking of functionally associated genes was interpreted by STRING. The survival analysis was done through cBioPortal.

Statistical Analysis Used:

The t-test was used through R programming to generate the P values for a test of the significance of expressed genes.

Results:

A total of 54,613 significant probes were analyzed in the TNBC MicroArray dataset. The functional PPI networks of BL1, BL2, and IM upregulated genes showed significant associations. The survival analysis of differentially expressed genes showed the significant prognostic effect of 32 upregulated genes of different subtypes on TNBC cases with genetic alterations, whereas the remaining genes showed no significant effects.

Conclusion:

The output of the present study provided significant target gene panels for different TNBC subtypes, which would add an informative genetic value to TNBC diagnosis.
An immunohistochemical study of diffuse large B-cell lymphoma with molecular subtyping based on Hans algorithm
Authors: Ananthamurthy Anuradha , Murali Megha
Published: July 2024

Introduction:

Diffuse large B-cell lymphoma (DLBCL) is the most common type of B-cell lymphoma accounting for about 40% of all lymphomas. The international prognostic index (IPI), which relies on clinical and laboratory parameters, is used as a prognostic tool in DLBCL. In this study, we have included cases of DLBCL not otherwise specified (NOS) type to test the usefulness of the biological subclassification of DLBCL by immunohistochemistry (IHC) using the Hans algorithm into the germinal center B-like (GCB) type and nongerminal center (non-GCB) type. We correlated the subtypes with the demographics, site of involvement, IPI scores, and stage.

Objectives:

1. To study the immunohistochemical profile of DLBCL. 2. To classify patients with DLBCL into germinal center and nongerminal center subtypes. 3. To review the clinical presentations, clinical staging, and follow-up data in cases of DLBCL.

Materials and Methods:

A total of 152 cases of DLBCL reported from January 2010 to March 2018 were included in this study. Clinical data, treatment details, and follow-up were reviewed. Apart from the routine IHC markers for DLBCL, additional markers CD10, BCL6, and MUM 1 were performed to classify DLBCL into GCB type and non-GCB type using the Hans algorithm.

Results:

The median age of presentation was 53 years with male-to-female ratio of 2:1. Most of the patients presented with nodal involvement (56.6%); cervical lymph node is the most common site (46.5%). The majority of the patients presented in Ann Arbor stage 1 (44.8%). According to the international prognostic index, 34.8% had a score of 3 (high intermediate). After IHC studies, GCB subtype (51.5%) of DLBCL emerged as more common than non-GCB type (48.5%). The two subtypes differed significantly with regard to sex (i.e. GCB type was more common in males and non-GCB type in females) and showed no significance with regard to any of the other clinical features and prognostic parameters evaluated.

Conclusion:

Our study showed that IHC was a useful tool to subclassify DLBCL into GCB and non-GCB subtypes and may be easily incorporated in routine clinical practice.
Retrospective study on the distribution of hemoglobinopathies in Karnataka—A laboratory experience
Authors: Putchen Deepalakshmi D. , Kulkarni Swathi , Nanjundarao Suma S. , Bhat Dattamoorti G. , Venkatachala Pradeep K. , Prasad Sujay R.
Published: July 2024

Aims:

The importance of screening for hemoglobinopathies is well-documented in India. However, information on the distribution of hemoglobinopathies in Karnataka is lacking. The present study focuses on determining the spectrum of hemoglobinopathies for various districts of Karnataka.

Materials and Methods and Results:

A retrospective analysis of samples registered for hemoglobinopathies for a period of 5 years (2017–2021) was carried out. A total of 17066 records registered only from the Karnataka region, were anonymized and retrieved. The data included gender, age, district, and results of the tests. The results were based on complete blood count, peripheral smear, and capillary electrophoresis (CE) pattern. The data were revalidated by pathologists, and the unambiguous data were analyzed for the study. One-fourth of the records (25%) showed abnormal hematological parameters. The number of female records (66%) was twice that of males and both genders showed higher distribution of thalassemia, followed by variants and double heterozygotes (DH). Several cases of thalassemia major were identified below the age of 17 years. The majority of thalassemia cases were β thal and 93% of them were β thal trait. Among the variants, HbS was more prevalent than HbE. Among the districts, Hassan had a 35.2% thal, Mysuru had a 7.2% variant, and Chitradurga had a 5.5% DH. Thalassemia, variants, and DH were distributed across several districts of Karnataka to various levels.

Conclusion:

The comprehensive retrospective analysis of the spectrum of hemoglobinopathies in various districts of Karnataka serves as evidence to carry out a prospective study on population screening where the incidence of thalassemia and structural variants is high.
The Scientific Evidence for Lumbar Total Disk Replacement Surgery
Authors: Blumenthal Scott L. , Ohnmeiss Donna D.
Published: July 2024

Lumbar total disk replacement (TDR) has been in use since the 1980s, yet its adoption has not paralleled that of hip or knee arthroplasty or cervical TDR, which was introduced years after lumbar arthroplasty. If the lack of adoption is related to concerns about the safety and/or effectiveness of these implants, these issues have been extensively addressed in the literature. This narrative review aims to concisely report on the evidence published in the peer-reviewed literature related to lumbar TDR. Literature was identified from online databases such as PubMed, Scopus, and ScienceDirect, supplemented by the authors’ institution’s comprehensive database of TDR articles. By the end of 2023, there were at least 816 articles published on lumbar TDR covering all aspects of this technology, including biomechanics, clinical outcome, radiographic outcome, safety as assessed by re-operations and complications, and the cost related to this treatment intervention. Consistently, the evidence indicates that TDR yields outcomes similar or superior to fusion for treating painful disk degeneration unresponsive to non-operative care in appropriately selected patients.
Decoding the Genetic Threads of Disc Degeneration
Authors: Biswas Amitabh , Garg Bhavuk
Published: July 2024

Degenerative disc disease (DDD) is a prevalent musculoskeletal disorder characterized by the progressive degeneration of intervertebral discs, often leading to chronic low back pain and disability. While the etiology of DDD is multifactorial, genetic factors play a significant role in disease susceptibility and progression. This review provides a comprehensive overview of the genetic aspects of DDD, summarizing previously reported genes and variations associated with the disease. Through an analysis of animal studies and molecular pathways implicated in disc degeneration, including the lipid kinase phoshoinositide-3-kinase signaling pathway (PI3K-Akt), mitogen-activated protein kinase/extracellular signal-regulated kinase signaling pathway (MAPK-ERK), Wingless-related integration (Wnt)/β-catenin, Sonic Hedgehog (Shh), and mammalian target of rapamycin (mTOR) pathways, this review elucidates the intricate interplay between genetic factors and disc pathology. Several candidate genes have been identified in association with DDD, including those involved in extracellular matrix regulation, inflammation, and cell signaling. Genome-wide association studies have further expanded our understanding of the genetic architecture underlying DDD, revealing novel susceptibility loci and pathways. Animal studies utilizing genetically modified models have provided valuable insights into the molecular mechanisms driving disc degeneration and have validated the relevance of specific genetic pathways in disease pathogenesis. Understanding the genetic basis of DDD holds promise for identifying individuals at risk, developing predictive biomarkers, and informing personalized treatment approaches. Furthermore, elucidating the molecular pathways involved in disc degeneration may lead to the identification of novel therapeutic targets for DDD management. Overall, this review consolidates current knowledge on DDD genetics and pathways, providing a foundation for future research endeavors aimed at unraveling the intricate genetic mechanisms underlying this prevalent musculoskeletal disorder.
Comparison of Ultrasound, Trucut Biopsy, and Their Combined Accuracy with Postoperative Biopsy in Breast Lumps
Authors: Sundaram Sendhil Sudarsan , Kumar S. Vinoth , Rajasekar AV Dinesh , Nagam Amarnath
Published: July 2024

Background:

Breast lumps, a concern often surrounded by cultural taboos in India, demand effective diagnostic strategies, particularly with the prevalence of breast malignancy on the rise.

Objectives:

The primary objective is to determine the sensitivity, specificity, positive and negative predictive values, and diagnostic accuracy of ultrasound and trucut biopsy concerning postoperative biopsy in breast lumps.

Subjects and Methods::

The study conducted at MGMCRI, Pondicherry, was a prospective diagnostic accuracy study involving 36 patients presenting with breast lumps. Participants were selected based on inclusion criteria of being over 18 years old and consenting to undergo both ultrasound and trucut biopsy, followed by definitive surgery. Exclusion criteria included patients unwilling to undergo surgery. Data were collected through detailed clinical examinations, ultrasound, and trucut biopsy, followed by histopathological examination after surgery. Statistical analysis involved calculating sensitivity, specificity, positive predictive value, negative predictive value, and overall diagnostic accuracy, with significant results considered at P < 0.05.

Results:

Analysis across various age groups revealed a correlation between benign and malignant diagnoses made by ultrasound and trucut biopsy, demonstrating high diagnostic effectiveness for both methods. The sensitivity for both ultrasound and trucut biopsy was 100%, indicating excellent detection of true-positive cases. Specificity differed between the two, with ultrasound achieving 93.33% and trucut biopsy reaching 100%, highlighting its superior precision in identifying nonmalignant cases. Additionally, both positive and negative predictive values were exceptionally high, underscoring the reliability of these diagnostic tools in clinical practice.

Conclusions:

Ultrasound and trucut biopsy proved complementary and vital in diagnosing breast lumps, showcasing substantial correlation with postoperative histopathological outcomes. The study underscores the importance of these diagnostic methods in guiding appropriate surgical interventions for accurate diagnosis and management of breast lumps.
Agrochemical use in Farming Practices and Risk Factors for Kidney Disease among Dwellers of Rural Farming Communities in South-West Nigeria
Authors: Raji YR , Ajayi SO , Michael OS , Adewole D , Akande T , Abiola BI , Aminu OO , Efuntoye OO , Olugbenga-Bello A , Arije A
Published: July 2024

Background:

The outlook of chronic kidney disease (CKD) in low-and-medium-income-countries is poor. Modern farming practices in Nigeria are becoming increasingly associated with the use of herbicides and pesticides.

Aim:

The study aimed to evaluate agrochemical use in farming practices and risk factors for kidney disease among dwellers of rural farming communities in South-West Nigeria.

Methods:

This was a cross-sectional survey of adult dwellers of an agrarian rural farming community in South-West Nigeria. Participants provided information on demographics, lifestyles, knowledge, and awareness of risk factors for kidney disease, and the use of agrochemicals in farming practice. Anthropometric measurements and blood pressure values were obtained while blood and spot urine were collected for random blood glucose, serum creatinine, urinalysis, and albumin-creatinine ratio.

Results:

A total of 572 rural dwellers were enrolled in the study, with a mean age of 49.9 ± 17.5 years while 39.3% were male and 88.9% engaged in active farming. The prevalence of traditional risk factors for kidney disease was hypertension (24.3%), Diabetes mellitus (2.8%), cigarette smoking (7.5%), alcohol intake (20.8%) and herbal consumption (57.1%). The use of pesticides/herbicides was reported in 69.9%, while 25.3% did not use protective gear during its use. Proteinuria, hematuria, and reduced eGFR were observed in 29.8%, 6.1%, and 33.9% of participants, respectively.

Conclusion:

This study showed a high prevalence of herbicides and pesticide use and traditional risk factors for kidney disease, in addition to the high prevalence of markers of kidney damage among the dwellers of rural farming settlements in South-West Nigeria.
TRACKED VEHICLE PERFORMANCE ON IRREGULAR GROUND WITH PNEUMATIC SUSPENSIONS
Authors: de Miranda Matheus , Teixeira da Costa Neto Ricardo
Published: July 2024

In a military vehicle, the decrease in pitch and bounce movements is important to achieve precision in the vehicle's weapon set. The suspension of the vehicle is responsible for filtering the terrain profile, increase the comfort of the occupants, and reduce the impacts on the vehicle components. This paper will continue the work published on "PERFORMANCE OF A VEHICLE ON CRAWLES ON IRREGULAR LAND WITH SUSPENSIONS EQUIPPED WITH MAGNETORREOLOGICAL SHOCK ABSORBERS" (2020-36-0145) analyzing the improvement in vehicle performance when implementing pneumatic springs in the suspension system. The vehicle selected is the APC M113 because it is a versatile vehicle, used by several countries, and for that reason, it is possible to obtain parameters more easily than other military vehicles. The vehicle will be analyzed in a MATLAB / Simulink environment, under two terrain configurations: a single speed bump and a series of 5-speed bumps.
Approval and Control of Premium-Quality Titanium Alloys
Authors:   AMS G Titanium and Refractory Metals Committee
Published: July 2024

This specification covers the procedures for approval of products of premium-quality titanium alloys and the controls to be exercised in producing such products.
Gaseous Nitriding of Steel Parts, Controlled by Ammonia Dissociation
Authors:   AMS B Finishes Processes and Fluids Committee
Published: July 2024

This document specifies the procedure and requirements for gas nitriding steel parts by the use of raw or dissociated ammonia.
Steel, Corrosion- and Heat-Resistant, Bars, Wire, Forgings, and Forging Stock, 12Cr - 0.50Mo (410 plus Mo), Annealed
Authors:   AMS F Corrosion and Heat Resistant Alloys Committee
Published: July 2024

This specification covers a corrosion- and heat-resistant steel in the form of bars, wire, and forgings 7.0 inches (178 mm) and under in nominal diameter or least distance between parallel sides, and forging stock of any size.
Nickel Alloy, Corrosion- and Heat-Resistant, Wire, 74Ni - 15.5Cr - 8.0Fe, Cold Reduced, Spring Temper
Authors:   AMS F Corrosion and Heat Resistant Alloys Committee
Published: July 2024

This specification covers a corrosion- and heat-resistant nickel alloy in the form of wire up to and including 0.563 inches (14.30 mm) in diameter.
O-RINGS MOLDED FROM AMS7410 FLUOROCARBON (FKM) MATERIAL
Authors:   A-6C2 Seals Committee
Published: July 2024

THIS STANDARD ESTABLISHES THE DIMENSIONAL AND VISUAL QUALITY REQUIREMENTS, LOT REQUIREMENTS, AND PACKAGING AND LABELING REQUIREMENTS FOR O-RINGS MOLDED FROM AMS7410 FLUOROCARBON (FKM) RUBBER. IT SHALL BE USED FOR PROCUREMENT PURPOSES.
Artificial Intelligence Data for Ground Vehicle Applications
Authors:   Artificial Intelligence
Published: July 2024

This SAE Technical Information Report provides preliminary information regarding the current state of data collection, data processing methods, and usage for developing AI and its enabled systems and applications in the ground vehicle domain. This information report is a survey of topics highlighting data’s impact on AI solutions and methods that may be used to develop or improve data-related processes.

This report may offer insights that can drive innovation, improve safety, optimize performance, and develop regulatory compliance methods. Solution providers may find this information insightful and realize the potential for collaborative measures in development of their AI-enabled systems. Developers of standards and lawmakers may gain a better understanding of the current state of the industry and find opportunities to develop policies to guide the future of transportation, which in turn directly impacts the public. Other committees and academic affiliates may see links between data for AI in the ground vehicle domain and their domains of interest, which could spawn novel research, development, and standards.
Groups of F-Type
Authors: Fine Benjamin , Rosenberger Gerhard , Wienke Leonard
Published: July 2024

We consider a class of groups, called groups of F-type, which includes some
known and important classes like Fuchsian groups of geometric rank $\ge 3$,
surface groups of genus $\ge 2$, cyclically pinched one-relator groups and
torus-knot groups, and discuss algebraic and geometric properties of groups of
F-type.
Novel way to predict stock movements using multiple models and comprehensive analysis: leveraging voting meta-ensemble techniques
Authors: Dabara Kayit Akila , Tahir Mohd Ismail
Published: July 2024

The research introduces a method for anticipating stock market patterns by combining machine learning techniques with analysis methods. Multiple machine learning algorithms were integrated to address the limitations of stock market forecasting models. Using web scraping techniques, data were gathered from the S&P500 index over seven years, from September 5, 2016, to August 5, 2023. Companies like Microsoft Corporation (MSFT), Amazon.com Inc. (AMZN), JPMorgan Chase & Co (JPM), and Tesla, Inc. (TSLA) were selected based on their inclusion in the S&P 500 index. LR, RF, SVC, ADAB, and XGBC algorithms were applied as models by utilising optimisation using grid search and single algorithm approaches. Voting methods were employed to combine predictions from these models. The study employed rigorous statistical analyses, including the Kruskal-Wallis test to assess overall differences, followed by Pairwise Dunn’s Test with Bonferroni Correction for detailed algorithm comparisons. Additionally, Bootstrapping was utilised to calculate Confidence Intervals (CI) for robust estimation of algorithm performance. The methodology covered data collection, preprocessing, model training, and performance assessment. The outcomes indicate that the proposed approach accurately forecasts stock trends precisely and dependably. This study contributes to refining stock market prediction methodologies by introducing a strategy that enhances prediction accuracy while offering investors and financial professionals insights. Furthermore, assessing algorithm performance across metrics and companies highlights the versatility and effectiveness of machine-learning approaches in the fields.
Analysis of support vector machine and random forest models for predicting the scalability of a broadband network
Authors: James Gabriel , Anietie Ekong , Abraham Etimbuk , Oduobuk Enobong , Okafor Peace
Published: July 2024

This study proposed a machine learning approach to predict the scalability of broadband networks, which is crucial for ensuring fast and reliable internet connectivity. Scalability measures a network’s ability to handle increasing users, devices, and data traffic without compromising performance. The researchers leveraged the strengths of Random Forest (RF) and Support Vector Machine (SVM) algorithms to predict scalability. A large dataset of 40,000 data points was collected, focusing on six key metrics: Response Time, Bandwidth, Latency, Error Rate, Throughput, and Number of Users Connected. The data was preprocessed and divided into training and testing sets (80:20 ratio). Both RF and SVM algorithms were trained on the dataset, and a comparative analysis was conducted to determine which algorithm performed better. The results showed that the RF model outperformed the SVM model, achieving an accuracy of 95.0% compared to 91.0%. The RF model also exhibited higher precision, recall, and AUC scores. Feature importance analysis revealed that Response Time and Throughput were the most significant factors in determining network scalability. The study demonstrated the effectiveness of the RF model in predicting broadband network scalability, with a lower loss value (0.0133 for training and 0.0160 for validation) compared to the SVM model. This approach will help network operators and administrators predict and improve network scalability, ensuring reliable and fast internet connectivity. The study contributes to the development of machine learning-based solutions for broadband network performance evaluation and optimization.
Investigations on the structural, vibrational, optical and photocatalytic behavior of CuO, MnO and CuMnO nanomaterials
Authors: Prasad L. Guru , Ravikumar R. , Raman R. Ganapathi , Kannad R. Rajesh
Published: July 2024

CuO, MnO and CuMnO nanomaterials have been prepared using chemical precipitation method. Structure of the nanomaterials have been confirmed using XRD analysis. Metal oxide vibration have been identified and assigned to the vibrational band. Morophology of the prepared nanomaterials have been investigated in the SEM images. Optical band of the materials have been calculated using Tauc’s relation from the UV-Vis spectrum. Photocatalytic nature of the prepared nanomaterials has been studied against Congo red and Malachite green dyes.
Pengaruh Motivasi Kerja, Disiplin Kerja Dan Lingkungan Kerja Terhadap Kinerja Pegawai Di Kecamatan Kebomas Kabupaten Gresik
Authors: Barri Ziko Malifon Ahmad Al , Krisnawati Wenti
Published: July 2024

Keberhasilan suatu lembaga tidak hanya bergantung dengan teknologi, melainkan juga pada aspek sumber daya manusia yang dimilikinya. Suatu lembaga membutuhkan sumber daya manusia yang potensial, baik pemimpin maupun karyawan agar dapat memberikan kontribusi yang baik dan melaksanakan tugas dengan optimal untuk mencapai tujuan organisasi. Penelitian ini bertujuan untuk mengetahui pengaruh Motivasi Kerja, Disiplin Kerja, Lingkungan Kerja terhadap Kinerja Pegawai di Kecamatan Kebomas Kabupaten Gresik. Jenis penelitian ini adalah penelitian kuantitatif. Teknik analisis yang digunakan  dalam penelitian adalah regresi linier berganda. Teknik alat bantu dalam penelitian ini yaitu kuisioner dilakukan dengan jumlah sampel sebayak 54 orang. Hasil penelitian ini menunjukkan bahwa variabel Motivasi Kerja dan Disiplin Kerja dapat mempengaruhi Kinerja Pegawai. Sedangkan variabel Lingkungan Kerja tidak berpengaruh terhadap Kinerja Pegawai. Penelitian ini dapat dijadikan sebagai referensi, namun bisa menggunakan metode penelitian yang berbeda dan Kecamatan Kebomas Gresik diharapkan bisa lebih meningkatkan kinerja pegawainya. Penelitian ini masih memiliki keterbatasan yaitu kelemahan variabel dikarenakan terdapat variabel lain yang tidak ada dalam model ini.