bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance characteristics of the fork-join queuing system
Authors: Klimenok V. I.
Published: October 2023

Objectives. The problem of investigating a fork-join queuing system is considered. It is required to build the process of the system functioning, to find the condition for the existence of a stationary distribution, and propose algorithms for calculating the stationary distribution and the main stationary performance characteristics. The special interest of the study is to obtain the lower and upper bounds of the mean sojourn time of a customer in the system.

Methods. Methods of probability theory, queuing theory and matrix theory are used.

Results. The functioning of the system is described in terms of a multidimensional Markov chain. A constructive condition for the existence of a stationary distribution is found, and algorithms for calculating the stationary distribution and stationary performance characteristics of the system are proposed. Analytical expressions are obtained for the lower and upper bounds of the mean sojourn time of customers in the system.

Conclusion. The functioning of the fork-join queuing system with a stationary Poisson flow has been studied. Each of the arriving customers forks into two tasks that go to two subsystems, each of which consists of a server and a buffer. We assume that the buffer to one of the servers is unlimited, and to the second server has a finite volume. Service times have, generally speaking, different phase distributions (PH-Phase type distributions). For this system, a condition for the existence of a stationary distribution is obtained, algorithms for calculating the stationary distribution and a number of stationary performance measures of the system are proposed. Analytical expressions for the lower and upper bounds of the mean sojourn time of a customer in the system from the moment it enters the system to the moment of synchronization, which is a critical performance indicator of the fork-join queues, are obtained. The results of the study can be used for modeling various computer and communication systems, in particular, systems that perform parallel computing, customer processing in distributed databases, and parallel disk access.
Semantic models and tools for designing adaptive user interfaces of intelligent systems
Authors: Sadouski M. E.
Published: October 2023

Objectives. Models and tools for designing adaptive user interfaces for intelligent systems are being developed. The relevance is determined by the need to reduce overhead costs and development time for user interfaces and to provide their adaptation to the specific characteristics of the user of the intelligent system.

Methods. Existing approaches to designing user interfaces are being analyzed. A semantic model of an adaptive user interface for intelligent systems is proposed, implemented using a basic universal language for representing knowledge based on set theory and graph theory.

Results. An adaptive user interface model for intelligent systems has been developed, which includes a knowledge base model of the user interface, an agent-oriented model of the user interface, and a library of reusable components that provide integration of the user interface into both individual intelligent systems and intelligent systems groups. A method of transferring user interface components within an intelligent systems group during the operation of an intelligent system has also been developed.

Conclusion. Developed models and tools allow to simplify the reuse of user interface components together with knowledge base and problem-solving components in the design and development of individual intelligent systems, as well as in the design and development of a group of semantically compatible intelligent systems, ensuring automation of integration of user interfaces and their adaptation for each user. The developed set of user interface components has been included in a library of reusable user interface components. Further expansion of the set of components in the library and their integration into a group of semantically compatible intelligent systems is planned.
The effect of cement replacement with metakaolin and sugarcane bagasse ash as supplementary cementitious materials on the properties of concrete
Authors: Adagba Terlumun , Abubakar Aliyu , Baba Abubakar Sabo
Published: October 2023

The use of supplementary cementitious materials in the cement and construction industry is growing rapidly owing to the numerous benefits the application of these materials offers. In this study, the effects of metakaolin (MK) and sugarcane bagasse ash (SCBA) used to partially replace cement on concrete are investigated. The experimental plan was designed using a constant 5% MK and 0-20% SCBA contents by weight. The mix design of 1:2:3 and water-binder (w/b) ratio of 0.5 was employed. Samples prepared were tested at the ages of 7, 14, 28, and 60 days respectively. Concrete workability, water absorption, and densities all showed a decrease with an increase in the percentage of SCBA. The compressive strengths at lower percentages of SCBA (5% and 10%) recorded higher values compared to that of 5% MK and 0% SCBA. An increase in the percentage of SCBA above 10% however led to a decrease in compressive strength. The maximum compressive strength of 22.17N/mm2 was obtained at 60 days in concrete containing 5% MK and 10% SCBA. Both the T-statistics and F-statistics values calculated were statistically significant and exceeded their critical values. This suggests that there is a good relationship between the compressive strength of SCBA and the curing period and that the variation in the curing period and SCBA also causes a variation in the concrete compressive strength. From the results obtained, it is concluded that 5% MK and 10% SCBA can be applied to replace cement for structural concrete production.
Computational Investigation into Pressure and Viscous Resistances of a Catamaran in Calm Water
Authors: Ahmad Fitriadhy  , Nur Amira Adam  , Buana Ma’ruf  , Mohd Sofiyan Sulaiman  , Faisal Mahmuddin
Published: October 2023

The presence of incident divergent waves between two demi-hulls on catamaran ship will attempt to generate a non-linear hydrodynamic behaviour, which inherently induced an accuracy of predicting her total resistance (RT). Correspondingly, this becomes an attractive factor to propose a more reliable prediction of the total ship’s resistance through quantifying both of pressure and viscous resistances components. This paper presents computational investigation into predicting the viscous (CV) and pressure coefficients (CP) in calm water condition; whilst the rationale behind the analysis results explained. Several parameters have been taken into accounts in the computational simulation such as the effect of lateral separation (S/L) and longitudinal staggered (R/L) ratios at various Froude numbers. The preliminary validation shows that the total ship’s resistance at various S/L and R/L ratios constitute a fairly good agreement as compared to the experimental results. In addition, the CFD simulations revealed that the highest CV and CP occurred at the Fr= 0.47. The comparison in various lateral separation ratio showed that the symmetrical catamaran produced highest CV and CP at S/L=0.2 and S/L=0.4, respectively. Meanwhile, the staggered catamaran with S/L=0.2 produces highest the values of CV and CP at R/L=0.4 and R/L = 0.2, respectively. It is merely concluded that the current computational prediction provides useful outcomes particularly to estimate the effective power at preliminary design stage.
Involving Particle Technology in Computational Fluid Dynamics Research: A Bibliometric Analysis
Authors: Asep Bayu Dani Nandiyanto  , Risti Ragadhita  , Muhammad Aziz
Published: October 2023

This research was conducted to determine (i) the growth in the number of scientific publications in the field of particle technology in computational fluid dynamics (CFD), (ii) top citations based on the number of citations, publisher, and country, (iii) visualization of the most productive author, and (iv) publication development map based on keywords. This research method is a descriptive quantitative with bibliometric analysis using Publish or Perish software to harvest data and VOSviewer to visualize related research terms. Data was collected by searching using the Google Scholar database with the keywords “particle technology” and “Computational Fluid Dynamics” from 2019 to 2023. The results showed the growth of scientific publications in the field of particle technology in CFD. The most researched subjects in CFD are “technology,” “CFD analysis,” “fine particles,” and “experimental validation,” which are based on overlay and density visualization. The interrelationships between topics are grouped into four clusters with excellent network visualization. This research is expected to assist researchers in determining the topics to be studied and can also be a reference for further research.
Multidisciplinary in treatment of brain glioblastoma: The combination of surgery, radiotherapy and chemotherapy
Authors: Nguyễn Hạnh
Published: October 2023

ABSTRACT

Objectives: To describe the clinical features and magnetic resonance imaging of cerebral glioblastoma. And to evaluate the results of surgery combined with radiotherapy and chemotherapy for the group of patients.

Methods: A case series study was conducted on 38 patients with brain glioblastoma who underwent microsurgery combined with radiochemotherapy and Temozolomide at a dose of 75mg/m2 daily and maintenance chemotherapy with Temozolomide at a dose of 175mg/m2 for 6 cycles at Hue Central Hospital during 9/2019 - 6/2023.

Results: The mean age was 54.5 ± 10.3 with the male/female ratio = 1.57. The location was mainly in frontal lobe (26.3%). The tumor size 3 - 5 cm accounted for 50% of the patients. Magnetic resonance imaging showed mixed structures (47.4%) and heterogeneous enhancement (94.7%). Most patients underwent partial resection (65.8%). The main radiation dose was 59.4gy - 60gy, the patients with IMRT radiotherapy technique accounting for 23.7% After treatment treatment, the percentage of patients with symptoms such as headache and nausea reduced by about 30%. Partial response accounted for 50% of cases. The mean progression-free survival was 10.2 ± 1.06 months. The mean overall survival was 19,9 ± 1,84 months.

Conclusion: Glioblastoma was a highly malignant and rapidly progressive. Combination of radiotherapy and chemotherapy after surgery improved symptoms and increased overal survival.
Outcomes of tourniquet - less total knee arthroplasty
Authors: Nguyen Bao
Published: October 2023

ABSTRACT

Introduction: Tourniquet use in total knee arthroplasty (TKA) provides a bloodless field to improve visualization; however, the arguments for improving cement fixation, decreasing operative time, and decreasing overall blood loss have not been supported by the literature. Tourniquetless TKA is gaining popularity with the reported less postoperative pain and improved knee function in addition to no evident increased risk compared to tourniquet use. This study assessed the outcomes of tourniquetless TKA surgery in Hue Central Hospital.

Methods: 35 patients with end - stage knee osteoarthritis undergoing tourniquetless TKA surgery were included in this study. Demographic data, physical examination, and radiographic parameters were collected pre - and postoperatively. Intra - and postoperative complications were also reported. The patient’s knee function and clinical outcomes were reassessed at the 1 - month and 3 - month follow - up times. Results: Tourniquetless TKA showed significant improvements regarding knee pain, knee alignment, and knee function. No significant complications were reported post - operatively.

Conclusion: Tourniquetless TKA can be safely performed on a routine basis on end - stage knee osteoarthritis patients with relatively no significant complications.
Duration of Type 2 Diabetes Mellitus Over 5 Years, HbA1c Levels Over 7%, Alkaline Phospatase Over 130 IU/L, and C-Reactive Protein Over 3 mg/dL as Risk Factors for Osteoporosis in Type 2 DM Patients
Authors: Putra Gede Mahardika , Kawiyana Ketut Siki , Wiratnaya Gede Eka , Suyasa Ketut
Published: October 2023

BACKGROUND: Type 2 diabetes mellitus (DM) may increases the risk of osteoporosis due to impaired osteoblast and osteoclast function, which affects the morbidity and mortality rates of DM patients. Not many studies investigating the relationship of DM with osteoporosis.
AIM: The purpose of this study was to evaluate the duration of DM, hemoglobin A1c (HbA1c), alkaline phosphatase (ALP), and C-reactive protein (CRP) levels as risk factors for osteoporosis.
METHODS: Case control study was performed on a total of 44 samples that consist of ostoporosis group and non-osteoporosis group. Difference of HbA1c, ALP, and CRP between groups was evaluated using Chi-square test.
RESULTS: Based on statistical analysis, we found that the duration of DM Type II ≥5 years (p = 0.002, odds ratio [OR] 11.08), HbA1c levels ≥7% (p = 0.027, OR 5.4), ALP ≥130 IU/L (p = 0.045, OR 5.2), and CRP ≥3 ng/dL (p = 0.033, OR 4.67) were significant risk factors for osteoporosis. Based on multivariate analysis with logistic regression, we found that risk factors for the duration of DM Type II ≥5 years had the greatest strength of association with osteoporosis.
CONCLUSION: In DM patients, duration of DM ≥5 years, HbA1c levels ≥7%, ALP ≥130 IU/L, and CRP ≥3 ng/dL are predictor factors for osteoporosis that can be used in clinical practice. These risk factors can be used as evaluation parameters for DM patients who are suspected to have osteoporosis.
Face au corpocène, une cosmotique des vivants : Hartmut Rosa, Andreas Weber et Hildegard Kurt
Authors: Lorenté David , Andrieu Bernard , Sirost Olivier
Published: October 2023

En partant de la vivacité et de la vitalité des corps vivants plutôt que de la domination de la nature par l’anthropocène devenu notre corpocène, cette écologie corporelle étudie comment l’individu est traversé par le cosmos parfois jusqu’à la dismose, en détruisant à la fois la nature et les corps vivants, parfois jusqu’à l’osmose, en désirant se réensauvager en se fondant dans la nature. Comment cette nouvelle cosmotique, se constitue-t-elle pour laisser émerser la vivacité dans une santé plus vitale du monde et des êtres vivants ? Trois niveaux de ces mutations corporelles seront étudiés : la mutation par l’osmose dans les éléments afin de faire corps avec la nature (Andreas Weber et Hildegard Kurt) puis la mutation par la cosmose avec les autres comme dans la résonance (Harmut Rosa) et, enfin, la mutation par l’émersion dans les activités d’éveil dans les milieux partagés (Alexander von Humboldt, Carl Ritter).
Un Tanztheater pour le XXI e siècle ? Pratiques corporelles et grotesque queer-féministe dans les spectacles de Florentina Holzinger
Authors: Jan Corentin
Published: October 2023

La jeune chorégraphe autrichienne Florentina Holzinger, développe depuis une dizaine d’années un Tanztheater qui fait la part belle à l’exploration critique de pratiques corporelles contemporaines et plus anciennes, en convoquant et détournant par exemple les chorégraphies du ballet classique et moderne. Au sein de spectacles presque toujours interprétés par des femmes, ces pratiques se trouvent réagencées, déplacées et insérées dans des univers où se mêlent des références aux grands récits occidentaux ( La Divine Comédie de Dante, Hamlet de Shakespeare…) et à des formes spectaculaires plus contemporaines ( Freak Show , concours de télévision…). La démarche de Florentina Holzinger cherche moins une esthétique du choc et de la violence qu’elle ne joue en acte avec les pratiques corporelles présentes et passées ainsi que leurs significations culturelles. Il s’agit de montrer en quoi la démarche de la chorégraphe vise à s’approprier, à détourner et à observer d’un œil critique les pratiques corporelles du présent et du passé et les imaginaires qui leur sont associés. Deux spectacles, A Divine Comedy (2021) et Ophelia’s got Talent (2022), sont au cœur de l’analyse qui considère la danse comme un lieu de travail esthétique sur les pratiques et les imaginaires sociaux du corps. Les deux spectacles détournent ces pratiques et ces « images corporelles » en les soumettant à un registre grotesque au sens bakhtinien du terme et en les détournant vers des pratiques sexuelles, scatologiques ou qui, plus largement, prennent appui sur la matérialité des corps en présence. Cet esthétique grotesque s’inscrit dans un projet artistique queer-féministe et dans une filiation critique de l’histoire de la danse et de la performance.
Les mauvaises coutumes en l’an mil. Le témoignage du sud de la Bourgogne
Authors: Viaut Laura
Published: October 2023

Les mauvaises coutumes correspondent à une exaction, que l’on relève sous le terme de malam consuetudinem ou, plus rarement, de malam rapinam . Elles sont le produit d’une élaboration personnelle, arbitraire et certainement exagérée, visant à consolider le patrimoine seigneurial, accroître le domaine et y assujettir les habitants, en s’accompagnant parfois d’actes de violence. Le phénomène s’observe dans l’Europe occidentale de l’an mil. Nous voudrions ici étudier sur le cas du Sud de la Bourgogne où l’on peut observer les mécanismes de défense utilisés par les clercs.
La ligature d’Isaac : sortir de la déliaison et sortir de chez son père
Authors: Chesnel Jonathan
Published: October 2023

L’article s’attache à lire le chapitre 22 de la Genèse en essayant de comprendre pourquoi Dieu demande à Abraham d’exposer Isaac à une scène aussi éprouvante. L’article tente de dégager comment cette scène permet de dénouer une relation où le sacrifice de son espace personnel semble être la norme. Genèse 22 apparaît dès lors comme un moment clef pour articuler le personnel et l’universel, le monde propre à chacun et le monde commun, ou encore pour lier ensemble l’amour et la haine.
Homogamie éducative et générations : quels effets sur les inégalités de niveau de vie en France ?
Authors: Courtioux Pierre , Lignon Vincent
Published: October 2023

Il est admis que l’homogamie éducative – c’est-à-dire la tendance à observer des mises en couple entre personnes ayant le même niveau de diplôme – renforce les inégalités socioéconomiques au sein de la population. Pour autant, les travaux disponibles dans la littérature écartent généralement de leurs estimations une partie des individus les plus âgés, afin de ne pas introduire de biais de génération. Les indicateurs ainsi produits ne peuvent être comparés directement avec les indicateurs usuels d’inégalités de niveau de vie calculés en population générale. Cet article propose une méthode originale pour contrôler ce biais de génération afin de quantifier la part des inégalités imputables à l’homogamie éducative en population générale. À l’aide d’une modélisation logistique des probabilités d’appariement des conjoints selon le diplôme, l’évolution de la structure des diplômes au fil des générations est identifiée de manière fine, ainsi que son rôle sur les inégalités liées à l’homogamie éducative. Les résultats obtenus sur les données françaises pour la période 2003-2013 montrent que l’impact de l’homogamie éducative sur les inégalités de niveau de vie est statistiquement significatif mais très faible. Elle affecte plus particulièrement le haut de la distribution des niveaux de vie et nécessite pour être mise en évidence de bien contrôler les effets de génération.
Comment faire alliance pour protéger un enfant en danger ? L’accompagnement des tiers à la Réunion
Authors: Séraphin Gilles
Published: October 2023

Un projet de recherche Erasmus+ portant sur l’interprofessionnalité, lui-même intégré à un programme de recherche plus vaste concernant les « Enfants protégés confiés à un proche » (EPCP), étudie dans le département français de La Réunion, situé dans l’océan Indien, les façons dont les acteurs et actrices font alliance. L’objectif est d’analyser les fondements des relations interprofessionnelles, interinstitutionnelles et les liens entre des institutions, des enfants, des proches et des parents, dans l’élaboration et la mise en œuvre d’un nouveau dispositif de protection d’enfants en situation de vulnérabilité psycho-sociale, plus spécifiquement d’enfants en danger protégés par les autorités publiques. Dans ce contexte, l’article étudie les enjeux, ressources et limites en ce qui concerne chacun des axes de l’interprofessionnalité repéré dans le cadre de ce projet : communiquer avec d’autres, clarifier les rôles et identités professionnelles, résoudre des conflits, travailler en collaboration/en équipe, exercer un leadership collaboratif, instaurer des pratiques centrées sur la personne par l’implication des bénéficiaires. Il apparaît que pour dessiner un « climat » favorable à l’interprofessionnalité, le préalable indispensable repose sur une organisation clairement établie, exposée et partagée entre institutions, acteurs professionnels et bénéficiaires.
Du conjuguicide aux violences conjugales
Authors: Vanneau Victoria
Published: October 2023

Depuis le xix e siècle, la justice s’empare des violences dans le couple et s’efforce, en dépit de l’autorité maritale qui érige le mari en chef de la famille et enjoint l’épouse à l’obéissance, d’en faire un enjeu de l’intervention de la norme pénale. Dans la négociation concrète des normes, les magistrats s’attachent à légitimer leur action pour que la loi protège la faiblesse contre la tyrannie de la force. Au xix e siècle le savoir-faire des juges suffit ; au siècle suivant, la justice s’appuie sur la législation familiale pour saisir ce que désormais l’on nomme les violences conjugales.
Le féminicide excusé par le discours juridique
Authors: Duffuler-Vialle Hélène
Published: October 2023

De 1810 à 1975, la loi a, par la technique juridique de l’excuse, « excusé » dans certaines circonstances le meurtre de l’épouse par l’époux. Les dispositions de l’article 324 du Code pénal sont claires : le mari qui tue son épouse et l’amant de celle-ci s’il les surprend en flagrant délit d’adultère au sein du domicile conjugal verra sa peine considérablement réduite. Le présent article analyse le contexte d’adoption de ce texte ainsi que ses justifications dans les débats législatifs et doctrinaux des xix e et début du xx e siècles et révèle une acceptation du féminicide conjugal dans le discours juridique au-delà de la lettre du texte. La perspective diachronique permet ainsi de comprendre que si aujourd’hui le scandale des féminicides éclate, et s’il parait maintenant totalement inadmissible qu’une femme meure sous les coups de son conjoint, il s’agit d’un changement de paradigme juridique relativement récent.
Une épuration patriarcale
Authors: Lostec Fabien
Published: October 2023

Depuis une trentaine d’années, les études en faveur d’une histoire sociale et culturelle de l’épuration menée en France à la Libération se sont multipliées. Parmi les enseignements majeurs à retenir de ces travaux figurent la place importante des femmes parmi les épurés, qui doivent faire face à des violences uniquement ou presque administrées par des hommes, ainsi que la porosité existant entre l’épuration populaire et l’épuration judiciaire. Cet article se propose de croiser ces deux avancées historiographiques pour mieux faire le point sur le rétablissement répressif d’un ordre masculin qui s’opère à la Libération.
Porter plainte pour violences sexuelles
Authors: Lejbowicz Tania
Published: October 2023

Le mouvement #MeToo a mis en lumière l’ampleur des difficultés associées aux traitements policiers et judiciaires des violences sexuelles. À travers l’étude d’entretiens réalisés auprès de femmes victimes de ces agressions, cet article s’intéresse aux dénonciations à la police et à la justice. Les analyses montrent que plusieurs éléments entravent ces procédures : les discordances temporelles entre les acteurs et actrices impliqués ainsi que la dureté des démarches. Mais certaines caractéristiques peuvent faire varier l’intensité de ces difficultés, comme les raisons qui poussent à initier une plainte ou les conditions d’accueil, de témoignage et d’enquête.
Évaluation comparative des mécanismes des mesures provisoires/immédiates du Comité des droits économiques, sociaux et culturels et du Comité européen des droits sociaux
Authors: Pergantis Vassilis
Published: October 2023

Les mécanismes des mesures provisoires/immédiates des deux Comités de l’ONU et du Conseil de l’Europe présentent des aspects procéduraux, des conditions pour l’indication de ces mesures, des défis notables quant à leur portée, leur contenu et, en particulier, leur statut juridique. Les questions soulevées seront analysées en détail à travers la jurisprudence des deux Comités afin de montrer les convergences et divergences dans leur pratique et les points qui restent à clarifier.
Reproduction of Merluccius merluccius (Actinopterygii: Merlucciidae) from the northern Atlantic coasts of Morocco based on histological analysis of gonads
Authors: El Bouzidi Chaimae , Segner Helmut , Oufdou Halima , Benziane Meryem , Chiaar Abberrahim , Bakkali Mohammed , Hassani Zerrouk Mounir
Published: October 2023

The hake (Merluccius merluccius) fishery occupies an important place in the Moroccan trawl fishery. Despite the ecological and commercial value of this species, the reproductive biology of European hake populations in Moroccan coastal waters has been little studied. Here, we describe the seasonal variations of gonad histology of hake collected from August 2017 to August 2018 along the northern Atlantic coast of Morocco. The histological changes were compared with macroscopical changes, and the body length at first maturity (L50) was calculated. The results revealed differences between macroscopic and histological maturity staging of the gonads. The L50 was estimated to be 34.7 cm for females and 28.6 cm for males (histology-based) and 30.6 cm for females and 26.8 cm for males (macroscopy-based). In addition, the observations of ovarian maturity indicated the presence of a protracted spawning season throughout the year with a peak around January and in midsummer.
Opportunity observation of an Algerian Eddy to the south of Cape Palos (southwestern Mediterranean Sea)
Authors: Vargas-Yáñez Manuel , Sánchez-Leal Ricardo F. , Alvera-Azcárate Aida , Troupin Charles , Moya Francina , Ballesteros Enrique , Serra Mariano , Balbín Rosa , Moltó Vicenç , García-Martínez Mª Carmen
Published: October 2023

Large anticyclonic eddies can detach from the Algerian Current, forming open-sea Algerian Eddies. These mesoscale structures have been intensively studied by means of sea surface temperature and altimetry data, and using numerical models. However, few studies describe an in situ sampling of their whole vertical structure. Furthermore, the area extending from Cape La Nao (western edge of the Balearic Channels) to the Almería-Orán Front has received very little attention, and it could be considered that there is a gap in our present oceanographic knowledge of this part of the western Mediterranean. An Algerian Eddy lasting for several months was detected in December 2021 to the south of Cape Palos. In order to analyse this eddy, an opportunity sampling was designed taking advantage of the periodic monitoring campaign RADMED 0222. This sampling revealed that the eddy had a baroclinic character, affecting the whole water column. These results suggest that this eddy was generated at the Algerian Current, finally affecting an area close to the eastern Spanish coast. The presence of these structures in this region of the western Mediterranean could alter the southward progression of the Northern Current and even the presence and structure of the Almería-Orán Front.
Valorification of Waste for Sustainable Concrete Production
Authors: Cobirzan Nicoleta , Muntean Radu , Felseghi Raluca-Andree
Published: October 2023

The construction sector is facing new challenges in developing sustainable concepts and creating innovative technologies to sustain transition to climate neutrality. Concerns regarding the reduction of carbon footprint in cement and concrete industries have intensified over the last century and continue to be relevant as the world economy is growth and quality of life is increased. In this chapter, a literature review of recent studies is presented, highlighting the potential of using industrial by-product, agricultural residues, construction, and demolition recycle waste and natural pozzolans as partial replacement of cement or natural aggregate in the production of sustainable concrete.
The Utilization and Application of Waste and Recycled Materials in Civil Engineering
Authors: Dehghanian Kaveh , Oral Hasan Volkan
Published: October 2023

This research is based on an extensive review of existing literature on building materials such as fly ash, slag, glass, plastic, and carpet, as well as various types of solid waste. This study provides an early assessment of the practice's existing strengths and shortcomings to assist the construction industry in formulating appropriate rules governing the use of waste and recycled materials as construction materials. This research covers the environmental consequences of the development of various solid wastes, as well as their recycling potential and prospective use in the production of construction materials. It has been shown that in order to close the gap in literature and practice, it is imperative to incorporate the circularity perspective from the building sector. This study shows practical applications that may be used as a starting point for future research, particularly as an illustration of how the circularity method is used in practice in the construction sector.
Sustainability and Optimization of Green and Lean Manufacturing Processes Using Machine Learning Techniques
Authors: Ingle Rahul Bhagwan , Swathi S. , Mahendran G. , Senthil T. S. , Muralidharan N. , Boopathi Sampath
Published: October 2023

The chapter introduces the concepts of sustainability, green manufacturing, and lean manufacturing, emphasizing their importance in the manufacturing industry. It then highlights the relevance of machine learning techniques in supporting sustainable manufacturing practices. It focuses on the application of machine learning in sustainable manufacturing, presenting case studies that illustrate the use of machine learning algorithms in optimizing energy consumption, reducing waste, and improving process efficiency. It also discusses the challenges and limitations of implementing machine learning techniques in sustainable manufacturing, as well as potential future advancements. Machine learning techniques can be used to achieve sustainable and efficient manufacturing operations, providing valuable insights for researchers, practitioners, and policymakers.
Prospective of Professionals toward Role of Speech-language Pathologist in Assessment and Management of Dysphagia
Authors: Mishra Ajay Kumar , Sharma Mukesh , Kumar Santosh , Parmar Mansha
Published: October 2023

Background:

Dysphagia is a disorder of swallowing and/or feeding. It is associated with malnutrition, dehydration, pulmonary pneumonia and increased mortality. Timely assessment and management of dysphagia carried out by speech and language pathologist is necessary. Speech Language Pathologist (SLP) evaluates and treats patients with dysphagia by using dysphagia therapy, postural changes, swallowing maneuvers and recommends texture modified dysphagia diet.

Objective:

The aim of the present study was to explore the level of awareness medical practitioner have regarding dysphagia and speech and language pathologist’s role in dysphagia.

Methodology:

A non-experimental, descriptive survey was conducted for the purpose of this research. Information was gathered by mean of a self-designed questionnaire. The data was collected from Sumandeep Vidhyapeeth University, Vadodara, Gujarat. The sample of the study consists of 100 medical practitioners (60 males and 40 females) working in different department, in which speech and language services were available and speech and language pathologists were accessible fulltime.

Results:

The data analysis was carried out with SPSS version 17.0 for windows. The score obtained by the participants were shows that medical practitioners do not have adequate knowledge regarding the assessment and management of patients who suffer from eating and drinking difficulties.

Conclusion:

On the basis of the present research, it was concluded that medical practitioners lack in their knowledge and understanding of basic dysphagia assessment and management practices. Their lack of awareness of SLP role results in decrease SLP referrals.
Speech Language and Hearing Aspects in West Syndrome: A Single-Case Report
Authors: Sharma Mukesh , Parmar Mansha , Kumar Santosh
Published: October 2023

West syndrome (WS), or infantile spasms, is a rare type of epilepsy that usually appears in the 1st year of life. It is characterized by a specific type of seizure called a spasm, which involves sudden, brief jerks of the arms, legs, or trunk. These spasms can occur in clusters and may be accompanied by other seizure types. The cause of WS is not clear, but it is thought to be related to abnormal brain development or damage. In some cases, it may be associated with genetic mutations or other underlying conditions such as Down syndrome or tuberous sclerosis. Early diagnosis and treatment are important, as untreated WS can lead to developmental delays and intellectual disability. In this article, a 2-year and 7-month-old male was diagnosed with WS; his hearing evaluation was carried out to assess the impact of syndrome on audition. Audiological test battery was used which reveals hearing sensitivity within normal limits in both the ears. Speech and language skills development were delayed.
Combined Influences of Stress and Fibromyalgia on Voice: A Single-case Report
Authors: Kumar Santosh , Sharma Mukesh
Published: October 2023

Fibromyalgia may occur due to muscle tension while speaking or singing inaccurately. Symptoms of fibromyalgia are pain, fatigue, alteration in sleep, cognitive dysfunction, anxiety, depression, intestinal disorders, voice, and mood. Women are more affected than men. Voice was evaluated using the GRBAS scale and Dr. Speech software. Perceptually, voice was minimal dysphonia, and acoustically, voice parameters were within normal limits except harmonic–to-noise ratio.
DeepCerviCancer - Deep Learning-Based Cervical Image Classification using Colposcopy and Cytology Images
Authors: Kalbhor Madhura , Shinde Swati , Lahade Sagar , Choudhury Tanupriya
Published: October 2023

INTRODUCTION:  Cervical cancer is a deadly malignancy in the cervix, affecting billions of women annually.OBJECTIVES: To develop deep learning-based system for effective cervical cancer detection by combining colposcopy and cytology screening.METHODS: It employs DeepColpo for colposcopy and DeepCyto+ for cytology images. The models are trained on multiple datasets, including the self-collected cervical cancer dataset named Malhari, IARC Visual Inspection with Acetic Acid (VIA) Image Bank, IARC Colposcopy Image Bank, and Liquid-based Cytology Pap smear dataset. The ensemble model combines DeepColpo and DeepCyto+, using machine learning algorithms. RESULTS: The ensemble model achieves perfect recall, accuracy, F1 score, and precision on colposcopy and cytology images from the same patients. CONCLUSION: By combining modalities for cervical cancer screening and conducting tests on colposcopy and cytology images from the same patients, the novel approach achieved flawless results.
Stacking Model for Heart Stroke Prediction using Machine Learning Techniques
Authors: Mohapatra Subasish , Mishra Indrani , Mohanty Subhadarshini
Published: October 2023

The paper presents an adaptive model that utilized the machine learning algorithms to predict the heart diseases. As heart disease is one of the leading causes of death and understanding its mechanism, effective prevention, diagnosis, and treatment is very crucial. With the help of data analytics, machine learning, artificial intelligence, it is possible to provide optimal solution to the heart diseases. But still getting optimal accuracy is a challenging issue. Identifying the data pattern, correlation and algorithms affects the accuracy very much. In this work, a stacking model has been proposed to find the best models out of it and validate the model for better prediction accuracy. The model is stacked with seven algorithms different machine learning algorithms such as Radom Forest, Naïve Bayes, Linear Regression, Decision Tree, Ad boost, K Nearest Neighbour, and Gradient Boosting. The experiment was carried out with a training and testing ration of 80:20 in ration. Evaluations are carried out in different measures such as Precision, Recall, F Score, and Accuracy to demonstrate the efficiency of the algorithms. Form the experimentation it is observed that the gradient boosting outperforms the other competitive approaches as this algorithm combines weak predictive models to form a stronger ensemble model that can make highly accurate predictions with an accuracy of 94.67 percentages.
Analysis and Comparison of the DC-DC converter with soft Computing algorithm
Authors: Goswami Agam Das , Hole Shreyas R
Published: October 2023

Due to technological discoveries in power generation or other power sources, DC-DC converters have developed more practical uses in electrical generation technologies (especially in DC micro grids). Separate the conversion components and generation of an optimized separate predictive algorithm may be achievable through model parameters. The primary goal of implementing an electronic parts converter for grid connection is to provide an amount of energy statistically and quantitatively satisfactory for the many applications at hand. Load frequency control electronics are divided into transistors, DC-to-DC converts, and rectifier diodes. The adapter from DC - DC is frequently used even among the many. The proposed technique can be applied to other parameter verification and improvement conditions, such as rectifier circuits, filter power supplies, etc.
Digital Investigation of Network Traffic Using Machine Learning
Authors: Chatterjee Saswati , Satpathy Suneeta , Nibedita Arpita
Published: October 2023

In this study, an intelligent system that can gather and process network packets is built. Machine learning techniques are used to create a traffic classifier that divides packets into hazardous and non-malicious categories. The system utilizing resources was previously classified using a number of conventional techniques; however, this strategy adds machine learning., a study area that is currently active and has so far yielded promising results. The major aims of this paper are to monitor traffic, analyze incursions, and control them. The flow of data collection is used to develop a traffic classification system based on features of observed internet packets. This classification will aid IT managers in recognizing the vague assault that is becoming more common in the IT industry The suggested methods described in this research help gather network data and detect which threat was launched in a specific network to distinguish between malicious and benign packets. This paper’s major goal is to create a proactive system for detecting network attacks using classifiers based on machine learning that can recognize new packets and distinguish between hostile and benign network packets using rules from the KDD dataset. The algorithm is trained to employ the characteristics of the NSL-KDD dataset.
Optimal Therapeutic Drug Monitoring Strategy for IV Aminoglycosides and IV Vancomycin in People with Cystic Fibrosis: A Systematic Review
Authors: Jiang Jessie , Giunio-Zorkin Nicole , Su Victoria , Dagenais Renée
Published: October 2023

Background: Given altered pharmacokinetics in people with cystic fibrosis (pwCF), there is debate regarding optimal strategies for therapeutic drug monitoring (TDM) for aminoglycosides and vancomycin administered intravenously.
Objectives: To determine the TDM strategy for IV aminoglycosides and IV vancomycin associated with optimal clinical outcomes in pwCF.Data Sources: Several databases (MEDLINE, Embase, CINAHL, Web of Science, Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov) were searched from inception to November 15, 2020, with searches rerun on February 13, 2023.
Study Selection and Data Extraction: Full articles evaluating TDM strategies and clinical outcomes in pwCF receiving IV aminoglycosides or IV vancomycin were included.
Data Synthesis: Three studies met the inclusion criteria for IV aminoglycosides, and 1 study met the inclusion criteria for IV vancomycin. Data are presented with descriptive analyses.
Conclusions: The available evidence is insufficient to determine an optimal TDM strategy for IV aminoglycoside or IV vancomycin therapy in pwCF.
RÉSUMÉ
Contexte : Étant donné que la pharmacocinétique des personnes atteintes de fibrose kystique est altérée, un débat existe concernant les stratégies optimales de suivi thérapeutique des médicaments (STM) pour les aminoglycosides et la vancomycine administrés par voie intraveineuse.
Objectif : Déterminer la stratégie de suivi thérapeutique des médicaments pour les aminoglycosides et la vancomycine par voie intraveineuse associée aux résultats cliniques optimaux chez les personnes atteintes de fibrose kystique.
Sources des données : Plusieurs bases de données (MEDLINE, Embase, CINAHL, Web of Science, Cochrane Central Register of Controlled Trials et ClinicalTrials.gov) ont été consultées depuis leur création jusqu’au 15 novembre 2020, avec des recherches répétées le 13 février 2023.
Sélection des études et extraction des données : Les articles en texte intégral évaluant les stratégies de suivi thérapeutique des médicaments et les résultats cliniques chez les personnes atteintes de fibrose kystique recevant des aminoglycosides ou de la vancomycine par voie intraveineuse ont été inclus.
Synthèse des données : Trois études répondaient aux critères d’inclusion pour les aminoglycosides par voie intraveineuse, et une étude répondait aux critères d’inclusion pour la vancomycine par voie intraveineuse. Les données s’accompagnent d’analyses descriptives.
Conclusions : Les éléments probants disponibles sont insuffisants pour déterminer une stratégie optimale de suivi thérapeutique des médicaments pour la thérapie par aminoglycosides par voie intraveineuse ou la vancomycine par voie intraveineuse chez les personnes atteintes de fibrose kystique.
Недеформированное обобщенное преобразование Данкля на прямой
Authors: Ivanov Valerii Ivanovich
Published: October 2023

Обобщением преобразования Данкля может служить $(k,a)$-обобщенное преобразование Фурье, но оно деформирует хорошие классы функций, например, пространство Шварца. В работе изучается недеформированное обобщенное преобразование Данкля на прямой. Определены два оператора обобщенного сдвига. Для них получены интегральные представления и доказана $L_p$-ограниченность. Определены две свертки, для которых установлена теорема Юнга. В качестве приложения изучены условия $L_p$-сходимости обобщенных средних.
Библиография: 20 названий.
Primary gastric mucormycosis
Authors: Khanna Deepanshu , Shankar Jata , Jasrotia Ayush , Sahu Pabitra
Published: October 2023

Primary gastric mucormycosis is a rare but potentially lethal fungal infection due to the invasion of Mucorales into the gastric mucosa. It may result in high mortality due to increased risk of complications in immunocompromised patients. Common predisposing risk factors to develop gastric mucormycosis are prolonged uncontrolled diabetes mellitus, solid organ, or stem cell transplantation, underlying hematologic malignancy, and major trauma. Abdominal pain, hematemesis, and melena are common presenting symptoms. Diagnosis of gastric mucormycosis can be overlooked due to the rarity of the disease. A high index of suspicion is required for early diagnosis and management of the disease, particularly in immunocompromised patients. Radiological imaging findings are nonspecific to establish the diagnosis, and gastric biopsy is essential for histological confirmation of mucormycosis. Prompt treatment with antifungal therapy is the mainstay of treatment with surgical resection reserved in cases of extensive disease burden or clinical deterioration. We presented a case of acute gastric mucormycosis involving the body of stomach in a patient with no comorbidity, however he had post COVID status, admitted with hematemesis. Complete resolution of lesion was noted with medical treatment with intravenous amphotericin B.
The value of EGFR in individualized treatment for brain metastases in non-small cell lung cancer
Authors: Tan Li , Ren Juan
Published: October 2023

The prognosis of brain metastases in non-small cell lung cancer (NSCLC) is poor, and patients with EGFR mutations are more likely to have brain metastases. The epidermal growth factor receptor (EGFR) gene status has changed the direction of treatment for NSCLC patients with brain metastases. The development of EGFR tyrosine kinase inhibitors (EGFR-TKI) has prolonged the survival time of NSCLC patients with brain metastases. The treatment of patients with NSCLC brain metastases should be individualized according to the clinical symptoms, tumor stage, and different gene mutation status. As cancer is heterogeneous at the molecular level, related biomarker studies looking for individualized characteristics are recommended.
A Novel Paradigm for Sentiment Analysis on COVID-19 Tweets with Transfer Learning Based Fine-Tuned BERT
Authors: Amit Pimpalkar  , Jeberson Retna Raj
Published: October 2023

The rapid escalation in global COVID-19 cases has engendered profound emotions of fear, agitation, and despondency within society. It is evident from COVID-19-related tweets that spark panic and elevate stress among individuals. Analyzing the sentiment expressed in online comments aids various stakeholders in monitoring the situation. This research aims to improve the performance of pre-trained bidirectional encoder representations from transformers (BERT) by employing transfer learning (TL) and fine hyper-parameter tuning (FT). The model is applied to three distinct COVID-19-related datasets, and each of the datasets belongs to a different class. The evaluation of the model’s performance involves six different machine learning (ML) classification models. This model is trained and evaluated using metrics such as accuracy, precision, recall, and F1-score. Heat maps are generated for each model to visualize the results. The performance of the model demonstrates accuracies of 83%, 97%, and 98% for Class-5, Class-3, and binary classifications, respectively.