bluuebunny/crossref_metadata_2025 huggingface dataset:
Sostenibilidad de emprendimientos en zonas vulnerables del Ecuador
Authors: Boza Aguirre Joffre Edgar , Ordóñez Espinoza Cristina Guadalupe , Salinas Herrera Fabian Marcelo , Cárdenas Veliz Dayana Guisella
Published: February 2025

El presente trabajo determina la relación entre la optimización de recursos y la sostenibilidad en los emprendimientos en el sector marginal y rural del Cantón La Troncal. La metodología fue de naturaleza descriptiva y correlacional con análisis cuali-cuantitativo. Los resultados de la investigación revelaron que existe una correlación positiva entre la optimización de recursos y la sostenibilidad en los emprendimientos en el sector marginal y rural del Cantón La Troncal. Las estrategias de optimización más utilizadas son aquellas asociadas a la materia prima y la tecnología; a su vez, los emprendimientos exhiben un alto grado de madurez en el tiempo de funcionamiento. Se concluye sobre la importancia de enfocarse en estrategias que maximicen el uso eficiente de los recursos disponibles en los emprendimientos estudiados y la necesidad de incorporar otras variables explicativas que contribuyan a la visión integral de la sostenibilidad empresarial.
Editorial: Writing from the Fringes
Authors: Webb Jen , Williams Kimberly K. , Herbert-Goodall Eileen
Published: February 2025

This article introduces the “Writing from the Fringes” special issue, outlining its key provocations and each article’s contribution to the issue’s central themes.
My Double-Diaspora: Two Natures, Two Cultures and reposing the enduring image of C. P. Snow’s “bridge”
Authors: Druitt Fiona
Published: February 2025

This work responds to the theme of writing from the fringes by exploring the author’s experience of being doubly-diasporic across STEM and HASS scholarship, and by relating this situation to what Bruno Latour considers “being modern” and to what Michel Foucault describes as the modern paradox. This article does three things. Firstly, this work presents a piece of scholarly writing in an academic style that rereads and rewrites C. P. Snow’s Rede Lecture on science and humanities disciplines, which Snow infamously called “the two cultures”. Secondly, this article presents a piece of creative writing in the form of autobiographical metafiction, which also rereads and rewrites C. P. Snow’s 1959 Rede Lecture, but this time, by telling the author’s own story of double- diaspora or of two natures, two cultures. And finally this article considers how its academic and creative works open onto one another to repose the question of being modern (as in poststructuralism and STS) with a view to telling the author’s story and critique of being modern in such a way that these can be heard by STEM and HASS. Some implications of this work for metafiction and for creative writing as a mode of academic inquiry are discussed.
Símbolos de la heráldica en la teatralidad política actual
Authors: Gelpí Rodríguez Maria
Published: February 2025

El presente artículo analiza el papel de los símbolos legitimatorios de la guerra, en la teatralidad política contemporánea. Se centra en el caso de Rusia y la letra latina "Z", inicialmente pintada en los tanques de las tropas rusas al inicio de la invasión de Ucrania en 2022, con la misma función que los antiguos blasones, a saber, el reconocimiento del contendiente. Más tarde, esta letra se ha utilizado de manera mediática para simbolizar el respaldo a Rusia en la guerra de Ucrania, en el contexto urbano de la sociedad civil, especialmente configurada con los colores de la cinta de San Jorge, de origen heráldico. Este estudio examina los discursos más relevantes de Vladimir Putin, sus apariciones públicas, así como el respaldo a través de redes sociales y productos de merchandising. Se evalúa el impacto social del uso de símbolos, en el ámbito político y urbano, junto con otras estrategias.
De la imagen del poder al poder de la imagen. A propósito de la heráldica de Alonso de Fonseca II y Acevedo
Authors: Herrera Vicente Javier
Published: February 2025

En este estudio se analiza la producción heráldica de D. Alonso de Fonseca II y Acevedo (c.a.1437-1512) en la iglesia de San Benito en Salamanca. Los escudos que se presentan no son un añadido que simplemente identifica al linaje y ornamenta los muros perimetrales de la parroquia; al contrario, están ontológicamente ligados a una estrategia persuasiva llevada a cabo por su promotor. Se trata de comprender, efectivamente, cómo el arzobispo comenzó a trabajar en la creación de una imagen personal y ostentosa acorde a su dignidad religiosa en los albores del siglo XVI. Desde tal punto de vista se entiende que estas piezas no sólo representan el poder, sino que se presentan ante el espectador como artefactos “vivientes” con un cometido determinado. Por lo tanto, este artículo gira en torno a la potencialidad simbólica de los escudos de armas, y aborda la relación entre el contexto salmantino, el templo de San Benito, las piezas heráldicas y su recepción.
Réflexions sur les manifestations plastiques de l’héraldique au sein de quelques sources historiographiques de l’Occident médiéval (XIIe- début XVIe s.)
Authors: Grosjean Alexandre
Published: February 2025

Cet article se propose d’étudier les motivations ayant poussé les chroniqueurs médiévaux à mettre en avant les images montrant les supports de l’héraldique. Ce travail est une série de réflexions car l’exhaustivité des sources empêche de produire une étude définitive sur le sujet. Les différentes thématiques où apparaissent les supports de l’image héraldique sont déterminées, depuis le caractère utilitaire de ces supports jusqu’à la valeur politique qu’ils permettent de donner à l’héraldique, avant d’en donner les limites d’interprétation résultantes des contraintes et des méthodes de travail des historiens du Moyen Âge. La conclusion met en avant la difficulté de statuer sur une image stable et fiable de ces supports pour l’historien d’aujourd’hui.
Novelty Perspectives on Art and Heraldic Display of Nineteenth Century Historicist Retables in the Temes Banat
Authors: Vlăsceanu Mihaela
Published: February 2025

In this study I will question the function of images and symbols present on a selection of nineteenth-century altars in the Banat region, analyzing the use of heraldic symbols and particular iconography related to the holy kings of Hungary, providing an interpretation of the political engagement of their formulation and use. In order to augment knowledge on their semantic multivalence we will include a topical discussion on the ideas generating their specific morphology and integrated historicism, applying an interdisciplinary methodology, revealing multiple layers of novel meaning and connections.
Usos heráldicos en Gipuzkoa en los siglos XV-XVI. Las armerías de bando y de linaje de Garibay - Lazarraga (1400 - 1600)
Authors: Aguinagalde Olaizola F. Borja
Published: February 2025

RESUMEN. El linaje de Lazarraga, originario de Oñate (Gipuzkoa), protagoniza una intensa actividad cronística entre 1520-1600. La narrativa es, sobre todo, genealógica, pero incluye un cuidadoso dispositivo heráldico. El objetivo es confortar la identidad del linaje y explicar su distinción social. Onomástica, jerarquía y emblemas operan coordinadamente en este empeño.
El relato de los orígenes es mitológico, y sirve para crear unas armerías parlantes que no son de linaje, sino de bando. Varias familias las adoptarán a lo largo del siglo XVI y conservamos numerosos testimonios de ello. El personaje clave para materializar esta operación es Juan López de Lazarraga (m. 1518), secretario de los Reyes Católicas y de la reina Juana, quien funda con su mujer, doña Juana de Gamboa Irarrazabal, el Monasterio de Bidaurreta (Oñate), el primero de su género en Gipuzkoa. Bidaurreta es un monumento heráldico sofisticado y novedoso.
Strengthening Executive Functions in ADHD through the Brain Benefit Movement (BBM): A Narrative Review and Pilot Study
Authors: Cargill Aram
Published: February 2025

Background: The cerebellum’s role has historically been confined to motor control. However, recent evidence suggests it is involved in cognitive processes and emotional regulation (e.g.,[1,2]), leading to the hypothesis that the cognitive and emotional challenges associated with attention deficit hyperactivity disorder (ADHD) may also be linked to cerebellar dysfunction.

Objective: This paper aims to 1) synthesize the current literature on the cerebellum’s role in executive functions and emotional regulation and to examine the evidence supporting cerebellar exercises, mindfulness, and biofeedback as potential interventions for improving ADHD symptoms; 2) Present the results of a preliminary trial where Brain Benefit Movement (BBM) exercises were used to improve symptoms in children with ADHD and autism.

Methods: A narrative review of the literature was conducted, focusing on the cerebellum’s contribution to executive functions, its involvement in the autonomic nervous system (ANS), and the neurological and clinical changes associated with cerebellar exercises, mindfulness, biofeedback, and breathing. Additionally, a four-week preliminary trial with 50 participants assessed the effectiveness of BBM exercises combined with mindful breathing.

Results: Available literature suggest that cerebellar stimulation, mindfulness, biofeedback, and controlled breathing can improve motor planning, executive functions, and emotional regulation. These findings were supported by the results of our preliminary trial.

Conclusions: ADHD symptoms may improve by stimulating the cerebellum. The findings of the narrative review and the results of the preliminary clinical trial underscores the need for further clinical trials to rigorously evaluate BBM exercises as an intervention for ADHD.
العلاقة بين النمو الاقتصادي والتدهور البيئي وأهمية التحول للاقتصاد الأخضر منخفض الكربون في المملكة العربية السعودية
Authors:   ماجستير اقتصاد، كلية الاقتصاد والإدارة، جامعة الملك عبدالعزيز، المملكة العربية السعودية, الشريف سلمى , الجربا أحمد ,   أستاذ مساعد، كلية الاقتصاد والإدارة، جامعة الملك عبدالعزيز، المملكة العربية السعودية
Published: February 2025

هدفت الدراسة إلى تحديد العلاقة بين النمو الاقتصادي والتدهور البيئي في المملكة العربية السعودية خلال الفترة الممتدة، من عام 1990 إلى عام 2020، وفي إطار ذلك تمت صياغة فرضية الدراسة بأن هناك علاقة طردية بين معدل النمو الاقتصادي ونسب انبعاثات الكربون في المملكة العربية السعودية في الأجل القصير والأجل الطويل، ولتحقيق هدف الدراسة واختبار فرضيتها اعتمدت الباحثة على بيانات نصيب الفرد من إجمالي الناتج المحلي كمتغير مستقل وذلك للدلالة على النمو الاقتصادي، وانبعاثات غاز ثاني أكسيد الكربون بالكيلو طن للتعبير عن التدهور البيئي وهو المتغير التابع للدراسة، إلى جانب بعض المتغيرات المفسرة للنموذج وهي الإنفاق النهائي للاستهلاك الحكومي، إجمالي تكوين رأس المال، التجارة الدولية، الاستثمار الأجنبي المباشر، الزيادة السكانية في المناطق الحضرية، وتمت معالجة هذه البيانات قياسيًا اعتمادًا على نموذج الانحدار الذاتي للإبطاء الموزع ARDL، بالاستعانة على برنامج EVIEWS9. توصلت الدراسة إلى وجود علاقة طردية بين النمو الاقتصادي والتدهور البيئي في السعودية، حيث يؤثر نصيب الفرد من الناتج المحلي على انبعاثات ثاني أكسيد الكربون بشكل معنوي في الأجل القصير، بينما يقل هذا الأثر في الأجل الطويل. كما أن إجمالي تكوين رأس المال والتجارة الدولية لهما تأثير طردي في الأجلين. أظهرت النتائج علاقة طردية بين الإنفاق الحكومي والانبعاثات في الأجل القصير فقط، بينما كان تأثير الاستثمار الأجنبي عكسيًا وغير معنوي. أكدت الدراسة جهود المملكة في التحول نحو الاقتصاد الأخضر وأوصت بمواصلة هذه المبادرات للتخفيف من التدهور البيئي.
A Comparative Study on the Psychological Audience Acceptance of Young People through Local Government Public Management Combined with Media: An Exploration from a Cross-cultural Perspective
Authors: Yu Siyang
Published: February 2025

Quick developments in media technology have had a profound impact on the way information is shared, affecting both individual and societal views. Simultaneously, local governments have been using more and more media outlets to interact with their younger populations to successfully convey messages, policies, and projects. This study explores the complex dynamics of young people’s psychological audience acceptance of local government activities in conjunction with media impact in a variety of cultural contexts. The study explores the depths of cognitive assimilation and emotional resonance as it looks at how young people view, understand, and react to government messages delivered through a variety of media outlets. The study uses a mixed-methods approach to investigate how well government initiatives, media engagement tactics, and cultural adaption shape psychological audience acceptability. The methods include surveys, interviews, and comparative analyses. Using SmartPLS software, this proposed study will look into the psychology of public acceptance of government policies and media influence among 200 media professionals. The goal of the research is to unravel the complex interactions among cognitive functions, affective states, and cultural factors that shape young people’s attitudes and behavioral patterns toward public messages. The results of this study will provide important new information for media engagement, policy formulation, and intercultural understanding. Potential findings of the study center on how differently young people from different cultural backgrounds see government activities that are disseminated through the media in terms of psychological audience acceptance.
EVALUATION OF THE PHYSICO-CHEMICAL PROPERTIES OF SUGER INDUSTRY EFLUENTS IN MOZAMBIQUE
Authors: MUGUIRRIMA PAULINO VASCO , CHIRINZA NICOLAU PENICELA , MENDIETA  PINO CARLOS ALBERTO , LEON ZERPA FEDERICO
Published: February 2025

Wastewater generated by the sugar industry has complex characteristics and presents a major challenge to environmental engineers in their efforts to devise effective treatment and reuse strategies. The main objective of this study is to revise the physicochemical properties of wastewater from the Mozambique Sugar Factory.
EFISIENSI KINERJA MESIN CHILLER CUWD60B5Y PADA INDUSTRI KIMIA
Authors: Wirta Dede , Irwanto Irwanto
Published: February 2025

Chiller merupakan mesin pendingin yang berperan mendinginkan udara pada evaporator. Sistem pendingin chiller terdiri dari empat komponen utama yaitu kompresor, evaporator, kondensor dan katup ekspansi. Penelitian ini bertujuan untuk menganalisis kinerja mesin chiller CUWD60B5Y di PT. Sari Daya Plasindo, sebuah pabrik kimia. Pada penelitian ini, menganalisis efisiensi kinerja mesin chiller dengan menghitung Coefficient of Performance (COP) dan Performance Factor (PF) sebagai indikator utama. Metodologi penelitian yang digunakan adalah metodologi deskriptif kualitatif dengan tahapan pengumpulan data yaitu Observasi, Wawancara dan Studi Literatur. Pengambilan data dilakukan selama 10 jam dengan interval pengamatan satu jam. Hasil analisa menunjukkan bahwa mesin chiller mempunyai efisiensi dibawah standar dengan nilai teratas hanya COP = -0,83 dan PF = -0,63 pada jam 10.00 WIB. Salah satu faktor penyebabnya adalah ketidakn maksimalan pada proses perawatan komponen mesin chiller sehingga menyebabkan panas berlebih dan menurunkan efisiensi mesin. Oleh karena itu, perawatan mesin chiller yang benar sangat penting untuk menjaga efisiensi dan kualitas kecepatan.
Some weighted midpoint type inequalities for differentiable log-convex functions
Authors: Meftah Badreddine , Benchettah Djaber Chemseddine , Lakhdari Abdelghani , Merad Meriem
Published: February 2025

On the basis of a given integral identity, this paper purports to establish some novel
weighted midpoint type inequalities for functions whose first derivatives are log-convex. Traditional integral inequalities, such as Holder’s inequality, are among the integral inequalities that are utilized in proofs, in addition to fundamental definitions and conventional methods of mathematical analysis
On a subclass of bi-univalent functions affiliated with bell and Gegenbauer polynomials
Authors: Illafe Mohamed , Hussen Abdulmtalb , Mohd Maisarah Haji , Yousef Feras
Published: February 2025

This research paper explores the development of a novel class of analytic bi-univalent functions, leveraging the Bell polynomials along with the Gegenbauer polynomials as a fundamental component for establishing the new subclass. Analytical techniques are employed to determine and evaluate the Maclaurin coefficients $|a_{2}|$ and $|a_{3}|$ and the Fekete-Szeg\{o} functional problem for functions belonging to the constructed class. We demonstrate that several new results can be derived by specializing the parameters in our main findings. The conclusions drawn from this research enrich the theoretical foundation of this field and open new avenues for mathematical inquiry and application.
Actual clinical­pathogenetic aspects of pathogenesis of adenomyosis and endometriomas for women different age
Authors: Leshchova Olga
Published: February 2025

The objective: determination of role of allelic variants of genes of CYP19, GSTT1, GSTM1, р53 in pathogenesis and clinical motion of adenomyosis and ovarian endometriomas. Materials and methods. 100 women with genital endometriosis and 50 women are inspected without this disease. Group 1 made 50 women from adenomyosis, middle age made them – in 44,9±0,7, group 2 made 50 women from ovarian endometriomas, middle age of 32,6±0,8. From them 10 patients with the relapse of ovarian endometriomas after the combined treatment. A diagnosis for all patients is verified intraoperatively and as a result of histological research. A control group was formed from 50 women at the inspection of which genital endometriosis was eliminated, without the clinical displays of violations ovarian-menstrual functions, in age from 17 to 35 years. For raising of diagnosis applied the general-clinical, ultrasonic, roentgenologic, endoscopic methods of inspection. During the executed work the special methods of researches are conducted: determination of level of SA-125 is in the whey of blood, molecular-genetic research of genes of GSTM1, GSTT1, R53, CYP19. Results. As a result of the conducted analysis of polymorphic variants of gene of glutation S-transferase M1 it is not discovered statistically reliable differences in frequencies of deletions between the group of patients from adenomyosis and by a control group (52,0% and 42,0%, respectively). Frequency of a zero genotype in the group of patients practically did not differ from frequency of population. Frequency of homozygotes on zero allele of gene of glutation S-transferase M1 was some higher in the group of patients from adenomyosis as compared to the group of control (34,0% and 22,0%, accordingly). At the analysis of gene of glutation S-transferase M1 in the group of patients from ovarian endometriomas also it is not discovered statistically meaningful differences with a control group in frequencies of zero genotypes (54,0% and 42,0%, respectively). Conclusions. The results of the conducted researches testify that not on one of genes of GST not found out reliable differences between the groups of sick and healthy women, that some differentiates with information of literature. Presumably, it can be explained by that in an analysable group patients entered with severe endometriosis of the IV stage, while in previous researches conducted the analysis of endometriosis on the whole, without the account of the stage of disease. Possibly, at development of severe forms of disease there can be some other more serious breakages in a genome, that is scientific direction of our subsequent researches. Keywords: adenomyosis, endometrioma, pathogenesis, different age.
Women have features of different forms of endometriosis with hypofunction thyroid
Authors: Netskar Iryna
Published: February 2025

The objective: an increase of efficiency of treatment of genital endometriosis in combination with a hypothyroidism and decline of frequency of relapse is on the basis of improvement and introduction of algorithm of diagnostic, treatment-and-prophylactic and rehabilitation measures with the use of modern endoscopic technologies and medicinal correction.Materials and methods. By us was the conducted analysis of frequency of extragenital pathology in 789 patients with external genital endometriosis. On a 1 stage by us it was inspected 110 patients of reproductive age from 20 to 41 year with external genital endometriosis. All women were up-diffused on two groups: a to 1 group entered 50 patients with external genital endometriosis without pathology of thyroid, in 2 – 60 women with external genital endometriosis and concomitant hypothyroidism. On 2 stages by us it was inspected 100 patients in a reproductive period with the different degree of prevalence of external genital endometriosis, in which were testimonies for operative treatment. A diagnosis all patients had confirmed during laparoscopy, and also as a result of obligatory histological research. The clinical, laboratory, instrumental, functional, morphological and statistical methods of research were plugged in the complex of the conducted researches. Results. At operative treatment of combination of genital endometriosis and hypothyroidism organ-preserving operations are conducted in 55,0% women; in 45,0% – radical; in 56,0% laparoscopy is used and hysteroscopy; in 42,0% – laparoscopic-vaginal access and only in 2,0% is laparotomy. In addition, the defeats of sigmoid of colon and urinary organs take place in 10,0% cases. Frequency of relapse after operative treatment of genital endometriosis for women with a hypothyroidism makes through 6 – 6,0%; through 9 – 10,0% and in 12 months – 13,0% respectively.It is set at the analysis of variant of medicinal correction and duration of relapse-free course of genital endometriosis, that due to an antirecurrent hormonotherapy by preparations by the agonists of gonadotropin-releasing hormone, by courses not less than 6 months, duration of remission is substantially increased (on 30,8%) in comparing to other variants.Conclusions.The results of the conducted researches testify that presence of concomitant hypothyroidism for patients with external genital endometriosis and treatment conducted after different methods, it is necessary to take into account at development of tactic of conservative treatment, preoperative preparation and postoperative against recurrent therapy with the use of basic hormonal preparations. Introduction of the got results will allow to promote efficiency of treatment both conservatively, and operatively, that will promote quality of life of women of reproductive age.Keywords: endometriosis, hypofunction of thyroid, pathogenesis, treatment, prophylaxis.
Dermatological index of quality of life at acne for the women of early reproductive age
Authors: Kosyuta Myroslava
Published: February 2025

The objective: to learn the dermatological index of quality of life acne for the women of early reproductive age. Materials and methods. As a result of screening inspection in research 50 patients entered from acne different degree of severity. All patients produced complaints about a acne in the area of person, and 10 (20,0%) women also and in the area of breasts and back. Rashes, as a rule, were not accompanied by the subjective feelings, after a liquid exception, when separate elements were sickly at palpation. In addition, 39 (78,0%) patients marked the enhanceable greasiness facial skin and scalp. Age of the investigated patients ranges from 18 to 25 years. To the complex of the conducted researches clinical, laboratory, instrumental and statistical methods were included. Separately determined the dermatological index of quality of life. Results. At testing of women which are ill on acne, to treatment middle indexes of dermatological index of quality of life were 17,4, that represents the expressed dissatisfaction an own exterior and provides substantial influence on the social and sexual aspects of activity for patients which are observed. It should be noted that expressiveness of degree of severity acne did not influence on the size of dermatological index of quality of life.It is set that the level of dermatological index of quality of life depends on age of patients: for patients under age a 30 (most sexually active age) level of dermatological index of quality of life considerably higher (15,3) than for sick women more senior 30 years – 15,3 points (p<0,05). Set reverse cross-correlation connection of duration of motion acne and mean values of dermatological index of quality of life (r=-0,528; p=0,037) which testifies to humility of women with failings by the exterior, and possibly and by absence of faith in curing, as a result of what patients break off to pay regard to acne.Conclusions.The results of the conducted researches testify that findings must be taken into account at development of algorithm of diagnostic and treatment-and-prophylactic measures, especially directed hormonal correction. Keywords:acne, clinical aspects, dermatological index of quality of life, early reproductive age.
Congenital lenticular pigmentation: Epicapsular stars
Authors:   Bascom Palmer Eye Institute, University of Miami, Miami, Florida, 33136, USA., Ricur Giselle
Published: February 2025

A 26-year-old female with no relevant past medical history presented for comprehensive eye exam and was observed on slit lamp to have pigment deposits on the anterior capsule of the crystalline lens in the right eye.
Cardiogenic shock in a 29 weeks pregnant woman: A case report
Authors:   Academic Unit of Obstetrics and Gynecology, IRCCS Policlinico Sana Martino, Italy., Cagnacci Angelo
Published: February 2025

Cardiogenic shock in pregnancy represents a rare clinical condition associated with high mortality. Its diagnosis and management pose a challenge for the medical team due to the hemodynamic changes induced physiologically by pregnancy
Seizure induced by tramadol injection in a female patient with epigastric pain
Authors:   House Officer, Lady Reading Hospital, Peshawar, Pakistan., Rehman Muhammad Zohaib
Published: February 2025

Tramadol is a weak mu (μ)-opioid receptor agonist with additional serotonin and norepinephrine reuptake inhibition properties. It undergoes extensive hepatic metabolism and is commonly used for managing moderate to moderately severe pain.
Afebrile intracranial hypertension revealing varicella meningitis
Authors:   Pediatrics Department A, Mother and Child Hospital Center, Hospitalier Mohammed VI, Marrakech, Morocco., Radi Nozha
Published: February 2025

The varicella and shingles virus VZV is a strictly human virus which belongs to the family of herpesviridia which is transmitted by air or in contact with skin lesions rich in virus, it is a virus with dermo-neurological tropism whose primary infection corresponds to chicken pox and reactivation after stagnation in the sensory ganglia
Imaging of a giant ascending aorta aneurysm in a marfan patient
Authors:   Department of Anaesthesiology, All India Institute of Medical Sciences, Raipur, India., Sandeep Gade
Published: February 2025

A 39-year-old male patient presented to the cardiology OPD with complaints of chest pain, palpitations and dyspnoea on exertion for the past five months. On physical examination, the patient was found to have marfanoid features, water hammer pulse and positive Corrigans sign.
Clot on top of chaos: A case of fungal endocarditis with superior vena cava thrombosis
Authors:   Department of Internal Medicine and Critical Care Medicine, Aga Khan University Hospital, Karachi, Pakistan., Hanif Sadaf
Published: February 2025

Fungal endocarditis is a rare but serious complication. It accounts for 1-3% of all infective endocarditis cases, a mortality rate exceeding 70% [1,2]. Fungal endocarditis is a medical challenge not only in terms of diagnosis
Marfan syndrome and multiple myeloma: A coincidence or tendency?
Authors:   Hematology Department, Adnan Menderes University, Aydın, Turkey., Turgutkaya Atakan
Published: February 2025

Marfan Syndrome (MFS) is an autosomal dominant connective tissue disorder characterized by musculoskeletal, ocular, and cardiovascular abnormalities. It results from a mutation in the fibrillin-1 gene, leading to its deficiency and often causing overactivation of the TGF-β signaling pathway, which may contribute to cancer development.
A rare case of purple pleural effusion
Authors:   Kist Medical College and Teaching Hospital, Nepal., Rana Sunita
Published: February 2025

30 years old male from Lalitpur district, presented to our tertiary care centre with complaints of pleuritic chest pain in the left subcostal region for three days, and shortness of breath of MMRC gradeII aggravated by lying on left lateral decubitus for one day.
Leser-Trelat syndrome and mycosis fungoides: A rare association
Authors:   Dermatology Department, Cheikh Khalifa International University Hospital, Faculty of Medicine, Mohammed VI University of Health Sciences, Morocco., Basri G
Published: February 2025

Leser-Trelat syndrome is one of the multiple cutaneous manifestations of paraneoplastic syndromes occurring in patients presenting solid cancers. We report the rare case of a patient with Leser-Trelat syndrome associated with mycosis fungoides.
Cervical facet joints injections of stem cells in treatment of neck pain after whiplash injury
Authors:   Southern California Injury Treatment Center, 15857 Pomona Rincon Rd, Chino Hills, CA 91709, USA., Mironer Y Eugene
Published: February 2025

Neck pain is a very common and often disabling conditions. Neck pain lifetime prevalence rates are 48.5% [1]. Pain originating from the complex of two bilateral Facet Joints (FJ) and one intervertebral disc often produces one of the most common conditions-mechanical neck pain [2].
A strange case of a large abdominal mass
Authors:   Internal Medicine Resident, Hospital Santa Luzia de Elvas, ULSAALE, EPE, Portugal., Silva Daniela Nascimento
Published: February 2025

Male, 78 years old, with a history of hypertension, anemia, diabetes, and hip arthroplasty. He was referred to the emergency department due to an increase in abdominal circumference, asthenia, anorexia and constipation
Association Between Diet Quality and Central Obesity in Female Students
Authors:   Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran., Yousefvand Mansooreh
Published: February 2025

Central obesity can be the root cause of a number of diseases, including diabetes, hypertension and cardiovascular disease. Therefore, it seems necessary to study the factors affecting it to prevent such diseases. Previous studies have suggested a possible relationship between a healthy eating pattern and lower levels of central obesity
A Neural Network-Based Recruitment System for Optimizing Human Resources in Business Process Management Applications
Authors: Smita Tiwary Ojha
Published: February 2025

Business processes have been formally studied from various perspectives since the onset of the industrial age. Despite this prolonged scrutiny, processes remain poorly understood, unmanaged, and ineffectively executed. Business school curricula are predominantly function-specific and limited, while IT programs concentrate on narrow technical competencies, neglecting the 'process view' and 'integration' aspects, which are often left to individual students or academics. This paper examines the deficiencies in current business and IS/IT education and reviews the historical context of business processes. It asserts the importance of business process management and underscores its potential to bridge gaps in business education. Additionally, it discusses the strategies adopted by business schools and the challenges faced in BPM education and research.
Optimal Routing Protocol to Reduce Frequent Disconnection Problem with Improvement of Link Quality in Vehicle Network
Authors: Mani.J
Published: February 2025

Vehicular Ad-hoc Networks (VANETs) are currently receiving significant interest from academics because to the escalating traffic issues, particularly in densely populated nations. The rising incidence of accidents necessitates the implementation of an Intelligent Transportation System (ITS) that can effectively minimize and alleviate this trend. The existing routing protocols for VANETs address various scenarios and techniques for establishing dependable communication between vehicles and infrastructures. However, certain conditions, such as the stability of the link between vehicles during packet exchange, have not been well handled. This work presents the Link Reliability Data Forwarding Routing Protocol (LRDF-RP) as a solution to address the issue of frequent disconnections and improve route selection based on reliability in Mobility prediction in VANET. This study encompasses two essential contributions: (1) Enhancing the prediction routing protocol to transmit packets over a dependable route, and (2) Incorporating more logic in the selection of intermediate nodes towards the destination to get an increased Packet Delivery Ratio (PDR). The LRDF-RP employs the Prims Greedy algorithm for forwarding and the Predictive Perimeter method for recovery, with changes made to both algorithms to fulfil the specific demands of VANETs. The approach is evaluated based on several criteria including packet delivery ratio, throughput, end-to-end delay, consumption of energy, and average hop count.
Evaluating Business Investment Decisions: Destination Management and the Impact of Outward FDI on Indian Exports
Authors: Vrujesh Jalindar Salunkhe
Published: February 2025

Indian outward foreign direct investment (OFDI) has experienced significant growth, reflecting its critical role in driving India's economic expansion as an emerging economy. This study examines the selection criteria for Indian OFDI destinations by considering national distance across five dimensions: geographical, cultural, institutional, economic, and informational. Utilizing data from 2011 to 2023, the analysis employs EViews 12.0 and compares OFDI flows to the top 30 countries during this period. The OFDI size determination model highlights that while geographical, cultural, economic, and informational distances do not significantly influence destination choices, institutional distance emerges as a key determinant, emphasizing the importance of institutional factors. The study also investigates the impact of OFDI on Indian exports, revealing a long-run relationship. The findings suggest that Indian OFDI may either enhance exports by generating demand for intermediary products or substitute traditional exports through cost-effective and efficient entry modes like FDI. These insights provide valuable implications for policymakers and businesses aiming to optimize India’s global investment and trade strategies.
State-of-the-Art AI Approaches for Alzheimer’s Disease Detection from Brain MRI: A Systematic Literature Review
Authors: Bandaru A Chakravarthi
Published: February 2025

The increasing occurrence of many non-transmittable diseases, such as adult-onset dementia disorders and neurodegenerative diseases, is correlated with the rapid aging of populations, particularly in the industrialized western world. A correct diagnosis made early on is essential to promote appropriate treatments, such as treatment and preventive measures. A method that is frequently used for the diagnosis of neurological illnesses is conventional magnetic resonance imaging, or MRI. There is mounting evidence that using artificial intelligence (AI) techniques in conjunction with magnetic resonance imaging (MRI) can significantly enhance the precision of dementia diagnosis across various subtypes. Numerous investigations have been carried out to look at aberrant brain structure conditions and to identify Alzheimer's and dementia disorders utilizing features taken from medical images. Based on these findings, it is critical to identify Alzheimer's and dementia patients at an early stage and to treat them with the right care. To make this diagnosis, high-quality magnetic resonance (MR) images are required. However, it also results in reduced spatial coverage and longer scanning and identification times, even if it produces high-quality images. In this setting, the discipline of biomedical image processing has experienced significant growth and has evolved into an interdisciplinary study area including numerous fields.Among the most used types of data are images of the brain. In applications related to neurology, AI may help physicians make better decisions. For AI to be more effectively used in the brain, there are still important problems that need to be resolved. Building understandable AI algorithms and compiling extensive data are crucial to achieving this goal.
Enhancing Student Placement Predictions with Advanced Machine Learning Techniques
Authors: Milind Ruparel
Published: February 2025

Optimal management of student placement mechanisms is pivotal to cost-effective distribution and individualized aid for learning establishments. The study presents a novel ensemble methodology to anticipate the outcomes of student placements, integrating manifold machine learning (ML) algorithms — logistic regression, naive Bayes, gradient boosting, linear discriminant analysis (LDA), k-nearest neighbours (KNN), random forest, and support vector machines (SVM). The data set has been constructed with an extensive scope covering various attributes from demographic details through socioeconomic status up to curricular information: feature scaling and dimensionality reduction are proposed as part of comprehensive pre-processing techniques aimed at elevating prediction accuracy. Algorithm performance evaluation includes cross-validation appraisal done on each algorithm individually; the resultant ensemble model is a synthesis where multiple base learners' predictions are amalgamated to capitalize on collective but diverse predictive capabilities uncovered across all constituents. An ensemble approach significantly improves the accuracy, recall, precision, and F1 score more than individual algorithms. This model not only addresses the weaknesses of standalone algorithms but also strengthens itself against dataset inconsistency, thereby ensuring greater reliability. Such a result underscores the promise of ML methodologies to fine-tune student placement forecasts an endowment that can serve educational institutions with an effective blueprint to tailor their placement procedures and foster student triumph.
Improving Facial Expression Recognition with Deep Learning for Faces of Different Ages
Authors: Pranali Dahiwal
Published: February 2025

Many times automatic human emotional detection plays a vital role in health care and law enforcement agencies. To achieve this, it is necessary to have a robust hardware resource that can capture images under harsh conditions; numerous components already exist in the industry for this purpose. However, the greatest challenge lies in developing an advanced algorithm to process these images and extract the desired emotions. Many image processing techniques, such as PCA and transform techniques, are available. But these technologies aren't providing satisfactory results in harsh conditions. So, the evolution of deep learning models plays a crucial role in the identification of faces and, thereby, emotions. Keeping this fact in mind, designed model employ a deep learning model to enhance the image channels, which can be then use to efficiently train a large dataset. Therefore, the designed model utilizes a channel boost convolution neural network to achieve optimal accuracy in identifying facial emotions across a broad age range. The results show that the designed model outperforms other emotion recognition models, achieving a root mean square of 0.2948 and an accuracy of 98.34% on a variety of age facial images.
HearingHands : Amplifying the Voices of Deaf Community
Authors: Deepak T. Mane
Published: February 2025

Natural language, sign language employs several modes of expression for everyday communication. Researchers have paid less attention to ISL interpretation than other forms of sign language. This paper introduces an automatic technique for translating manual letter movements into Hindi sign language. Because it works with pictures of bare hands, the user may interact with the device naturally. System gives deaf individuals the chance to interact with hearing people without the use of an interpreter. This paper goal is to develop techniques and a system for automatically recognizing Hindi sign language. The creation of a Hindi Sign Language database is the initial stage in this system. The most important stage in any hand gesture recognition system is hand segmentation since higher recognition rates may be attained with better segmented output. To improve identification rates, the suggested system additionally incorporates reliable and effective hand segmentation and tracking algorithms. Using a large sample set, it has been shown to be feasible to recognise 43 different words from the Standard Hindi sign language. We want to be able to convert certain very basic parts of sign language into text in the suggested system and vice versa in Hindi. In this paper, we present a number of new features and prospective advancements:The emphasis on real-time systems that recognize and interpret sign language motions from live video input is one noteworthy advance. With the use of this feature, people who use sign language and others can communicate instantly without any delays or middlemen. Integration of Speech Synthesis and Hand Gesture Recognition: This innovative approach to communication accessibility combines speech synthesis and hand gesture recognition technology. The paper provides a comprehensive solution for promoting engagement and understanding between the deaf community and others who communicate primarily through spoken language by translating gestures from sign language into intonation-rich speech.
Optimizing Resource Allocation in Hospitals Using Predictive Analytics and Information Systems
Authors: Piyush Ingole
Published: February 2025

Effectively allocating resources in hospitals is a key part of making sure that patients get good care while also keeping operations running smoothly. Hospitals often have trouble making the best use of their limited resources, such as medical staff, tools, and places to care for patients. Even though traditional methods of managing resources are useful, they might not fully capture how complicated and variable patient needs and resource use are. This study looks into how predictive analytics and information systems can be used to make the best use of hospitals' resources. It focuses on how these technologies can help make decisions, make operations more efficient, and cut costs. The combination of machine learning models and statistical methods in predictive analytics makes it a strong way to predict patient demand, hospital admissions, and the best staffing levels. Predictive models can help hospitals better handle their resources by looking at past data and predicting what will happen in the future. For instance, predictive analytics can help hospitals plan for times when they will have a lot of patients, so they can make changes to their staffing and resource access. This method lowers the chance of not having enough staff or using too many resources, so the hospital can meet patients' needs without lowering the level of care. Information tools help with this process by keeping track of and keeping an eye on medical resources in real time. When predictive analytics are built into hospital information systems, data flows smoothly, giving decision-makers access to the most up-to-date information on how resources are being used. With real-time information on workers, tools, and available beds, hospitals can better decide how to use their resources, which cuts down on wait times and makes service better. Decision support systems can also handle some resource management jobs, which frees up hospital managers to focus on long-term planning and changes.
VR-Based Rehabilitation Game Design for Children with Cerebral Palsy
Authors: Sarita Dnyaneshwar Sapkal
Published: February 2025

In the context of neurological and motor problems, virtual reality has shown great promise as a rehabilitation tool. Virtual Reality(VR)-based rehabilitation presents numerous benefits compared to conventional methods, notably the capacity to develop engaging and interactive settings that can be customized to meet the individual requirements of patients. Additionally, because VR experiences are game-like, they can increase patient motivation and engagement, which will boost results. VR-based rehabilitation game design presents a viable way to enhance therapeutic interventions for kids with Cerebral Palsy (CP).In this paper, we propose a VR-based rehabilitation game design for children with cerebral palsy. Proposed game design aims to leverage the benefits of VR to address the unique challenges faced by this population, with a focus on improving upper-extremity motor function. By integrating physical movements, feedback mechanisms, and motivational elements, VR games can be designed to encourage active participation, enhance therapy adherence, and deliver personalized treatment protocols. Furthermore, the design considerations for such games—such as accessibility, ease of use, and the ability to monitor progress—are examined. The paper concludes that VR-based rehabilitation games can bridge the gap between clinical needs and therapeutic engagement, offering a novel solution for enhancing pediatric rehabilitation for children with CP
Educational Data Mining using Correlation based Feature Selection and classification for Future Learning Prediction
Authors: Mukul V Khasne
Published: February 2025

Educational Data Mining (EDM) is a growing field focused on analysing and modelling educational data to improve teaching and learning processes. This study explores the application of Correlation-based Feature Selection (CFS) and Recurrent Neural Networks (RNN) with Long Short-Term Memory (LSTM) for future learning prediction in educational systems. The research aims to predict student performance by leveraging historical data and identifying the most relevant features through correlation analysis. The CFS technique plays a crucial role in reducing the dimensionality of the dataset by selecting features that are highly correlated with the target variable while eliminating irrelevant or redundant ones. This improves the quality of the data fed into the predictive model and enhances the model's accuracy. The proposed model uses RNN-LSTM, a powerful deep learning architecture known for its ability to capture long-term dependencies in sequential data. LSTM, a special type of RNN, is particularly suitable for educational data that often involves time series, such as student performance over multiple periods. By training the model with student data, it can effectively predict future learning outcomes, providing valuable insights into individual student progress. The results demonstrate that the integration of CFS and RNN-LSTM achieves an impressive prediction accuracy of 97.10%, indicating the effectiveness of this approach for educational data mining tasks. The model’s high accuracy signifies its potential in providing actionable insights for educators to tailor learning strategies and interventions. This study highlights the significance of feature selection techniques and deep learning models in educational data mining, offering a promising solution for enhancing educational outcomes and personalized learning experiences.