bluuebunny/crossref_metadata_2025 huggingface dataset:
Unveiling Power Dynamics: Diversity Interpretations, Management Practices, and Inclusion Perceptions in the Workplace
Authors: Ramírez Ibarra Pamela Irazú , Martínez Martínez Adriana
Published: May 2024

The current diversity management literature highlights a lack of empirical investigations into nuanced diversity characteristics within specific contexts, with a predominant focus on the USA, Europe, and Asia. This article addresses these gaps by exploring the intricate relationship between interpretations of workforce diversity dimensions and ensuing diversity management practices, shaping perceptions of inclusion or exclusion. Workplace diversity is viewed subjectively, influenced by contextual factors like industry and location. A case study was conducted in June 2022 within a Japanese automotive company, gathering qualitative data through techniques such as semi-structured in-depth interviews and non-participant observations were made during two guided visits. AtlasTi was utilized for the analysis of results. Findings reveal that socio-economic differences' interpretation is swayed by power imbalances in labor relationships. Diversity management practices aligned with the dominant group exacerbate inequality among demographic groups, establishing metaphorical «glass ceilings» for minorities and fostering exclusion perceptions. Considering the case study’s limitations, the research contributes to the diversity management discourse, prompting a reevaluation of practices to mitigate unintentional inequality perpetuation in the workplace.
Focus on Non-osteoporotic Post-menopausal Women with Asymptomatic Primary Hyperparathyroidism: A Monocentric Series
Authors: Castellano Elena , Attanasio Roberto , Boriano Alberto , Gianotti Laura , Borretta Giorgio
Published: May 2024

Objective:

Primary Hyperparathyroidism (PHPT) is a common disease, frequently
diagnosed in post-menopausal women, among whom Osteoporosis (OP) is a common finding.
To date, no study has specifically evaluated the asymptomatic PHPT (aPHPT) patients without
OP, in particular post-menopausal women who are exposed to an increased risk of developing
OP.

Materials and Methods:

This study involved a retrospective cross-sectional evaluation. From
our database of 500 consecutive patients diagnosed with PHPT, 178 post-menopausal aPHPT
were retrieved.

Results:

The clinical, biochemical, and imaging data of the 85 patients without OP were not
different from those of the 93 with OP, except for bone alkaline phosphatase (significantly
higher in the latter group). Among these 85 patients without OP, the 45 patients meeting surgical
criteria for parathyroidectomy had significantly higher values of serum PTH (240 vs. 99
ng/L, p =0.03) and calcium (total, 11.2 ± 0.7 vs. 10.6 ± 0.4 mg/dL, p <0.001; ionized, 1.45 ±
0.12 vs. 1.36 ± 0.8 mmol/L, p =0.044) and lower values of serum phosphate (2.57 ± 0.7 vs. 2.94
± 0.5 mg/dL, p =0.009) and eGFR (68.5 ± 23.8 vs 80.8 ± 14.4 mL/min/1.73 m2, p =0.006) than
the 40 aPHPT patients not meeting surgical criteria, without any difference in densitometric
data and calculated fracture risk.

Conclusion:

In our series, post-menopausal aPHPT patients without OP accounted for almost a
sixth of the whole PHPT series. About half of these patients did not meet surgical criteria, but
their T scores and 10-year fracture risk calculated by FRAX were not significantly different
from post-menopausal aPHPT without OP meeting surgical criteria.
In Vitro Analysis of Effectiveness Clove Leaf Extract (Syzygium aromaticum) Against Anthracnose Disease (Colletotrichum capsici) on Chili Plants (Capsicum annum L)
Authors: Mahendra Syah Maulana , Abadi Abdul Latief , Choliq Fery Abdul
Published: May 2024

Chili (Capsicum annum L) is a plant with a high economic value and is in great demand by the Indonesian people. This research aimed to determine the effectiveness of the difference in the concentration of clove leaf extract in inhibiting anthracnose disease in chili. This research was conducted from February to April 2022. This research used the Complete Randomized Design (CRD) method with six treatments and four replications. The treatment used in this research was the difference in the concentration of clove leaf extract, namely 0%, 1%, 2%, 3%, 4%, and 5%. The research showed that clove leaf extract could inhibit the growth of C. capsici, which caused anthracnose disease in chili. In vitro tests showed that the concentrations of 3%, 4%, and 5% of clove leaf extract significantly differed from all treatments and had fungicidal properties against C. capsici. In conclusion, the research results showed that the effective concentration in inhibiting the growth of C. capsici, which causes anthracnose disease in chili, is the concentration of clove leaf extract 3%, 4%, and 5%.
The asymmetric impact of government expenditure on economic growth: Evidence from a NARDL model
Authors:   Department of Business Management, College of Business, Jouf University, Skaka, Saudi Arabia, Abdelli Hanane , Gheraia Zouheyr ,   Department of Business Management, College of Business, Jouf University, Skaka, Saudi Arabia, Sekrafi Habib ,   Laboratory for the Valorization of Natural and Cultural Heritage (VPNC), University of Jendouba, Jendouba, Tunisia, Abid Mehdi ,   Department of Finance and Investment, College of Business, Jouf University, Skaka, Saudi Arabia
Published: May 2024

Since the 2011 Revolution, Tunisia has faced significant economic development challenges. Government spending plays a crucial role in fostering economic growth. This study focuses on Tunisia from 1980 to 2022, considering factors like foreign direct investment (FDI), trade openness, capital, and labor. It particularly examines spending in four government sectors: agriculture, education, health, and military. Using the Non-linear Autoregressive Distributed Lag (NARDL) model, the study investigates how these sectoral government expenditures relate to Tunisia's gross domestic product (GDP). The findings suggest that the relationship between these factors and GDP is complex. For instance, increases in trade openness and FDI generally lead to GDP growth. Similarly, changes in the labor force impact GDP differently in the short and long term, with negative and positive changes eventually benefiting the economy, but positive changes can initially decrease GDP. The study also finds that government spending on agriculture and health positively affects GDP, whereas spending on military and education has a negative impact. To enhance government spending and stimulate economic growth in Tunisia, the study recommends addressing corruption, inefficiency, and waste. It emphasizes the importance of directing public funds towards infrastructure, particularly in the education and military sectors, to improve welfare and support productive activities.
Skeletal Muscle Mass Index Reduction Rate as a Prognostic Indicator for Patients Undergoing Pancreatectomy for Pancreatic Cancer
Authors: MITA JUNYA , MAEDA TAKASHI , TSUJITA EIJI , HASHIMOTO NAOTAKA , FUJIKAWA RANMA , ONO YUKI , SAKAI AKIHIRO , TANAKA SHINICHI , MATONO RUMI , OHMINE TAKAHIRO , KOMETANI TAKURO , YAMAGUCHI SHOHEI , KONISHI KOZO , HASHIMOTO KENKICHI
Published: May 2024

Background/Aim: There have been many studies on skeletal muscle depletion before surgery, and skeletal muscle depletion is a known risk factor for poor prognosis. However, reports on the association between changes in skeletal muscle mass and prognosis after surgery for pancreatic cancer are very few. Patients and Methods: The data of 137 patients who underwent pancreatectomy for pancreatic cancer between 2005 and 2022 were reviewed. Muscle areas were measured at the third lumbar vertebral level, and skeletal muscle mass index (SMI) reduction rates were calculated. Patients were divided into two groups using receiver operating characteristic (ROC) curve analysis based on the SMI reduction rate with a cutoff of 14% reduction rate. The clinicopathological factors, overall survival (OS), and recurrence-free survival (RFS) were compared between the two groups. Survival rates were analyzed both univariately and multivariately to clarify the factors associated with poor prognosis after pancreatectomy. Results: A total of 102 patients met the inclusion criteria. SMI reduction rate ≥14% significantly correlated with advanced age and higher incidence of postoperative complications. In the multivariate Cox regression analysis, preoperative prognostic nutritional index (PNI) <40 and SMI reduction rate ≥14% were significantly associated with poor OS. Tumor size ≥3.0 cm, preoperative neutrophile-lymphocyte ratio ≥3.0, and SMI reduction rate ≥14% were significantly associated with poor RFS. Conclusion: The rate of skeletal muscle mass reduction after pancreatic surgery is an independent prognostic factor for survival in patients with pancreatic cancer.
Comparative Analysis of External and Internal Radiotherapy- Dependent Plans in Patients with Gynecological Cancer
Authors: VOURTSAS PANAGIOTIS , SARRIS KYRILLOS , GIAKOUMAKIS NIKOLAOS , KOLITSI GEORGIA , KYPRIANOU KOSTAS , MASTRONIKOLI SOFIANIKI , TSIAMBAS EVANGELOS , PESCHOS DIMITRIOS , KARDAMAKIS DIMITRIOS , ANDROUTSOPOULOS GEORGIOS , SPYROPOULOU DESPINA
Published: May 2024

Background/Aim: Radiotherapy plays a key role in the treatment of gynecological cancer. Modern radiotherapy techniques with external beams (e-RT) are applied in a broad spectrum of gynecological cancer cases. However, high radiation doses, affecting normal tissue adjacent to cancer, represent the main disadvantage of e-RT regimens. For this reason, brachytherapy (BT), an internal beam-based technique (i-RT), is suggested following e-RT. Our purpose was to compare e-RT plans using volumetric-modulated arc therapy (VMAT) with those using 3D conformal techniques (3D-CRT) and compare BT plans guided by 3D or 2D imaging based on the potential corresponding toxicity levels. Materials and Methods: In this preliminary, non-randomized comparative retrospective study, 15 females suffering gynecological cancer were enrolled. Modern e-RT and i-RT (BT) techniques were applied. Results: Concerning e-RT, D95/D99/rectum 2cc/bladder 2cc and small intestine 2cc were measured and compared; in i-RT, rectum 2cc/bladder 2cc were measured and compared. The median dose to the planning target volume in VMAT was 97.4 Gy compared with 92.9 Gy in 3D-CRT. Τhe rectum received almost 5 Gy less in VMAT compared to 3D-CRT (median of 43.5 Gy vs. 48.6 Gy; p=0.001). In the bladder, dose differences were minimal, while the small intestine received 47.6 Gy in VMAT (p=0.001). Regarding 3D-BT, the rectum received 63.1 Gy compared with 49.9 Gy (p=0.009) in 2D-BT. Concerning the bladder, mean 2D-BT and 3D-BT doses were 71.9 and 65 Gy, respectively, differing non-significantly. Conclusion: VMAT was found to be superior to 3D-CRT, especially in dose distribution, volume coverage and protection of critical organs. Similarly, 3D-BT should be preferred over 2D-BT due to critical advantages.
A Web-Based Peer Support Network to Help Care Partners of People With Serious Illness: Co-Design Study
Authors: O’Donnell Elizabeth A , Van Citters Aricca D , Khayal Inas S , Wilson Matthew M , Gustafson David , Barnato Amber E , Buccellato Andrea C , Young Colleen , Holthoff Megan M , Korsunskiy Eugene , Tomlin Stephanie C , Cullinan Amelia M , Steinbaugh Alexandra C , Hinson Jennifer J , Johnson Kristen R , Williams Andrew , Thomson Ruth M , Haines Janet M , Holmes Anne B , Bradley Ann D , Nelson Eugene C , Kirkland Kathryn B
Published: May 2024

Background

Care partners of people with serious illness experience significant challenges and unmet needs during the patient’s treatment period and after their death. Learning from others with shared experiences can be valuable, but opportunities are not consistently available.

Objective

This study aims to design and prototype a regional, facilitated, and web-based peer support network to help active and bereaved care partners of persons with serious illness be better prepared to cope with the surprises that arise during serious illness and in bereavement.

Methods

An 18-member co-design team included active care partners and those in bereavement, people who had experienced serious illness, regional health care and support partners, and clinicians. It was guided by facilitators and peer network subject-matter experts. We conducted design exercises to identify the functions and specifications of a peer support network. Co-design members independently prioritized network specifications, which were incorporated into an early iteration of the web-based network.

Results

The team prioritized two functions: (1) connecting care partners to information and (2) facilitating emotional support. The design process generated 24 potential network specifications to support these functions. The highest priorities included providing a supportive and respectful community; connecting people to trusted resources; reducing barriers to asking for help; and providing frequently asked questions and responses. The network platform had to be simple and intuitive, provide technical support for users, protect member privacy, provide publicly available information and a private discussion forum, and be easily accessible. It was feasible to enroll members in the ConnectShareCare web-based network over a 3-month period.

Conclusions

A co-design process supported the identification of critical features of a peer support network for care partners of people with serious illnesses in a rural setting, as well as initial testing and use. Further testing is underway to assess the long-term viability and impact of the network.
Perceptions of White Spot Lesions and the Impact on young people: a mixed-methods study protocol (Preprint)
Authors: Hassan Amaar , Yazdi-Doughty Janine , Harrison Jayne
Published: May 2024

BACKGROUND

White spot lesions (WSLs) are white marks that can form on teeth during orthodontic treatment with fixed appliances (FA) and become apparent once they are removed. About half of people who have FA treatment get WSLs. They are usually caused by poor tooth-brushing around the brace.
Several studies explore the prevention and/or treatment of WSL. However, there remain uncertainties about what young people and their parents/guardians know or feel about WSL. A Cochrane review concluded that patient-reported outcomes have been overlooked in WSL prevention studies.

OBJECTIVE

This protocol describes a mixed-methods study that aims to explore young people’s and their parents/ guardians’ perceptions, attitudes, and feelings towards WSLs.

METHODS

Participants will be recruited from children aged 11-15, undergoing orthodontic treatment at Liverpool University Dental Hospital and their parents/guardians. Part 1 (quantitative) will use a questionnaire and images of pre-treatment malocclusions and post-orthodontic WSLs of varying severity (mild, moderate, severe). Part 2 (qualitative) will involve one-to-one, semi-structured interviews, using open-ended questions with young people and their parents/ guardians.
A sample size of 200 survey respondents for Part 1 and 30 interviewees for Part 2 will be undertaken. The responses for the questionnaire use a Likert scale with the option of free text comments. The qualitative research will be analysed using a modified framework analysis approach; the outcomes will be presented as themes.

RESULTS

-

CONCLUSIONS

WSLs can be highly visible when smiling or speaking. Aesthetic defects, caused by WSLs, may expose young people to oral health related stigma and discrimination e.g., bullying or teasing and impact on self-esteem. WSLs may also have cost consequences for patients and NHS dental services, for example, the costs of professionally applied fluoride, restorations, and their maintenance. This study is important for understanding the impact WSLs have on oral health-related quality of life and the decision making of young people and their parents/ guardians.

CLINICALTRIAL
The Vote18 Polemic and Challenges of its Implementation in Malaysia
Authors: Nazaruddin Mohd Izzuddin , Agus Yusoff Mohammad
Published: May 2024

Vote18 in Malaysia aims to extend voting rights to individuals aged 18 and older from the former voting age threshold of 21 years and older. This article discusses the challenges associated with implementing Vote18 in Malaysia, aiming to fill the gaps in the scholarly debates on Vote18 and the obstacles to implementing it in Malaysia. Even though the federal constitutional amendment to implement Vote18 was ratified in 2019, its implementation was delayed by two years, raising the essential question: What is the rationale for its delay? The primary data were collected from interviews with four respondents, comprising current and past ministers who had a pivotal role in revising the federal constitution and implementing Vote18, whereas secondary data were gathered from books, journals, and online newspapers. The findings revealed four obstacles to implementing Vote18 in Malaysia. First, the state constitution or state body laws, including the Election Offenses Act 1954, the Elections (Conduct of Elections) Regulations 1981, and the Registration of Electors Regulations 2002, must be amended before allowing people aged 18 and over to vote or run for office. Second, merging data and information stored by numerous government departments and agencies, such as the National Registration Department (NRD), is labour-intensive and time-consuming. Third, the development of a new voting system and the necessary infrastructure are still ongoing. Finally, the most critical hindrance is the government's lack of political will to ensure the initiative's success. Therefore, it can be concluded that lowering the age restriction is among the key components in reforming the Malaysian electoral system.
The Impact of Digital Economy Development on China's Industrial Structure Upgrading—An Empirical Analysis Based on Provincial Panel Data
Authors: Chu Jiayu
Published: May 2024

On the basis of theoretical analysis, this paper measures the upgrading level of industrial structure from three dimensions: the speed of industrial transformation, the advanced level of industrial structure and the rationalization level of industrial structure, and uses China's provincial panel data from 2011 to 2020 to explore the effect and mechanism of digital economy development on the upgrading of industrial structure. The results show that the development of digital economy can significantly promote the upgrading of China's industrial structure, and this effect is the most significant in the central region; The level of regional innovation is an important transmission path of the development effect of digital economy.
Redimir a la ciencia y su teoría del canto de las sirenas. Sobre el capitalismo, el imperialismo y el patriarcado
Authors: Orantes García José Rubén
Published: May 2024

El libro Imágenes, representaciones y movilizaciones indígenas en Latinoamérica, coordinado por Silvia Soriano Hernández, nos invita a analizar diferentes problemáticas de la situación emergente de América Latina y el Caribe a partir de cuatro ejes: miradas y resistencias, disputas y emergencias, diálogos y mestizajes, y racismos e interculturalidad. En sus capítulos se reflejan problemáticas, imaginarios, luchas antirracistas, historia y representaciones a partir de movimientos sociales en diferentes regiones del continente. Se concluye que las contribuciones del libro ejemplifican los múltiples abordajes del conocimiento socioantropológico, en los que la ciencia, hasta ahora patrocinada por un imperialismo rapaz. está experimentando cambios a partir de la reivindicación de diferentes epistemologías.
La lógica del abuso infantil
Authors: Aguilar Medina José Iñigo , Moreno Cárdenas César Rodrigo
Published: May 2024

Este trabajo cuestiona las causas por las que se da el atropello entre personas y grupos. Analiza los motivos que han justificado, a lo largo de la historia, el abuso. Encuentra que una de las principales razones reside en que los humanos llegan a desconocerse en los seres que les son diversos, sea por su cultura, su posición social, por sus características físicas, etcétera. Determina que el ejercicio del etnocentrismo, que es un mecanismo legítimo de identidad grupal, cuando es deformado en sus pretensiones, desarrolla el germen del maltrato, que se concreta como intolerancia y permite clasificar al abusado como inferior y hacerlo víctima del prejuicio y marcarlo con el estigma. Establece que el sustento del abuso radica en la ignorancia del valor que contiene en sí mismo todo humano y en la falsa dicotomía a la que suele sometérsele para definirlo. La que expresa que no basta tener un cuerpo de la especie, sino que es necesario que cada sujeto sea capaz de demostrar su autonomía y su racionalidad, para que pueda gozar de la dignidad de persona humana. Dicha descripción del ser humano incide de manera directa en la promoción del abuso de los sujetos que se encuentran en una etapa de inmadurez, como lo son los niños. Propone, para contrarrestar la cultura del atropello, se está a favor del cuidado, para desmantelar las estructuras de violencia que nos incitan a actuar bajo la ilusión de que no debemos tener límites, que hemos de someter y abusar de todos y de todo.
Bullying: acoso escolar en la niñez
Authors: Gómez tagle López Erick
Published: May 2024

El acoso escolar entre estudiantes se conoce como bullying, pero existen pocos estudios que analicen sus causas, modalidades, participantes y consecuencias, por lo cual este trabajo es una aproximación, desarrollado desde la interdisciplinariedad de la criminología y el Trabajo Social. Su abordaje incluye los aspectos teóricos y conceptuales que lo definen, identificando sus diferencias con el ciberbullying, el ciberacoso y el grooming. Se argumenta que acosar es violentar los derechos y las libertades de otra persona, dependiendo de su intensidad y frecuencia, mediante el abuso de poder y el aprovechamiento de condiciones de vulnerabilidad. Conducta antisocial que es posible prevenir y atender oportunamente, mediante el estudio de su génesis, dimensiones y dinámica, para lo cual la familia, las instituciones educativas y la comunidad tienen un papel fundamental.
Autoridades tradicionales y maltrato infantil en el ámbito indígena. El caso de los MapuchePewenche en Chile
Authors: Sanhueza Díaz Lilian Olimpia
Published: May 2024

El maltrato infantil es un problema global basado en el ejercicio abusivo del poder, que se constituye en una práctica histórica presente en todas las culturas y pueblos, situación que la Convención sobre los Derechos del Niño (ONU, 1989) intenta eliminar. Organizaciones internacionales como el Fondo de las Naciones Unidas para la Infancia (UNICEF) han estudiado el maltrato infantil en Chile y sus causas, principalmente a partir de las experiencias de los niños y niñas, pero existe poca investigación sobre la infancia indígena y la percepción de sus comunidades. El presente estudio se realizó en Alto BíoBío, territorio ubicado en el sur de Chile, en el cual se erradicaron y reubicaron masivamente a familias Mapuche-Pewenche durante la última década, a partir de la construcción de las represas hidroeléctricas Ralco y Pangue en el gran río BíoBío. El artículo tiene como objetivo mostrar las perspectivas de las autoridades Pewenche sobre el abuso infantil y dar cuenta de algunas propuestas para comprender y abordar las dinámicas relacionales presentes en la violación de los derechos de los niños y niñas en un contexto interétnico e intercultural
Entrevista a María Laura Estela Ortega García. 1ra. perito en Trabajo Social en 1978, Lic. en Trabajo Social y Mtra. en Enseñanza Superior, ambas por la UNAM
Authors: Chávez Rodríguez Lilia
Published: May 2024

Entrevista a María Laura Estela Ortega García. 1ra. perito en Trabajo Social en 1978, Lic. en Trabajo Social y Mtra. en Enseñanza Superior, ambas por la UNAM
Desplazamiento Interno Forzado de la comunidad wixárika: el caso de las poblaciones wixaritari de Tuxpan y San Sebastián Teponahuaxtlán en el norte de Jalisco
Authors: Cortez Díaz Joaquín
Published: May 2024

La problemática del Desplazamiento Interno Forzado (DIF) en las poblaciones wixaritari, del norte deJalisco, es un tema relevante en la década actual. Esta problemática ha estado presente durante siglos endicho territorio, con antecedentes desde el siglo XVII, en virtud de que se llevaban actividades extractivasen las minas de Zacatecas, lo cual desplazó internamente a los wixaritari (Ortega, 2014).Más allá de comprender descriptivamente la categoría del DIF, lo que se pretende en este artículo es darcuenta de las múltiples aristas que revisten la problemática del desplazamiento de los wixaritari, lo cualno se detiene meramente a conceptualizarse como un “traslado o cambio de lugar a alguien, a algúngrupo o a algo del cuerpo o cargo que ocupa, del papel que desempeña o del lugar en que vive”, ir de unlugar a otro (Jaimes, 2014, p. 30). En ese sentido se plantea en este estudio que el Desplazamiento InternoForzado no tiene como única justificación el despojo de recursos naturales de los Wixaritari, sino el controldel territorio Wixárika en el norte de Jalisco. Para ello, se exponen las múltiples causas que configuran estefenómeno social, la manera en que se da el desplazamiento de las poblaciones wixaritari y cómo estas hanresistido o hacen frente a la problemática del Desplazamiento Interno Forzado.
Perfilando el embarazo en la adolescencia en México. Principales resultados de la ENFaDEA
Authors: Pérez Baleón Fabiola
Published: May 2024

El objetivo de este artículo es perfilar, con datos de la Encuesta Nacional de los Factores Determinantes delEmbarazo Adolescente (ENFaDEA), las características comunitarias, escolares, de pareja, familiares y personalesque resultaron ser significativas en las mujeres que presentaron un embarazo antes de los 20 añosde edad, en México, distinguiéndolas de aquellas que no cursaron por un embarazo en la adolescencia.Uno de los principales resultados del estudio muestra que casi dos de cada cinco mujeres tendrán unembarazo antes de cumplir los 20 años por lo que es indispensable, desde el Trabajo Social y desde lasCiencias Sociales, plantear estrategias de intervención efectivas para prevenir esta situación.
Gerencia social en instituciones de salud
Authors: Ávila Cedillo Guadalupe Jacqueline
Published: May 2024

Desde un enfoque descriptivo se realizó una investigación documental, a partir de la búsqueda minuciosa de información de orden analítico sintético desde una perspectiva histórica, sociológica y visión contemporánea del tema central: la gerencia social. En este sentido, a través de cinco temas se desglosan los elementos estructurales de la gerencia social en saluddesde una visión actual de las problemáticas sociales. Asimismo, se presentan esquemas que permiten una visión contrastante y dinámica en la investigación, y se nombran trece enfoques de la gerencia social, así como habilidades y características de los gerentes sociales, herramientas de la nueva gerencia social, entre otros tópicos de interés.
Nudos problemáticos del trabajo social con grupos en la formación y el ejercicio profesional
Authors: Ornelas Adriana
Published: May 2024

La intervención de trabajo social con grupos es una actividad clave dentro del bagaje disciplinar, pues presenta la posibilidad de generar procesos de cambio social a través del trabajo colectivo. La importancia de la intervención grupal se ha visto reflejada en la construcción histórica de nuestra disciplina/profesión que, desde sus inicios y hasta hoy, se ha incorporado tanto en la formación académica como en el ejercicio profesional, considerándole como método, metodología, nivel o modalidad de intervención. Sin embargo, es preciso reconocer que en la actualidad esta intervención se ha ido desdibujando en ambos ámbitos y ha retomadopreeminencia la atención individualizada.
Activismo en derechos humanos a través del arte: cartografías desde la Ciudad de México
Authors: Sánchez Zepeda Andrea Kenya
Published: May 2024

La Ciudad de México (CDMX) es cosmopolita, pero con una desigualdad territorial histórica y materialmente visible. Los mapeos sobre la desigualdad en la CDMX se han inscrito en el curso histórico de su crecimiento urbanístico, así como en la forma de concebir y constituir la ciudad. Ante el tradicional centralismo espacial y simbólico de la burocracia institucionalmexicana -que tuvo como principios arquitectónicos y de administración pública el centro-periferia-, la respuesta de las organizaciones civiles de promoción y defensa de los derechos humanos en el territorio tiene un mapeo contestario y alternativo que reconfigura la fuerza ciudadana de las periferias.
Envejecimiento y arreglos residenciales de los adultos mayores
Authors: Galindo Cruz Ana G. , Cruz Martín del Campo Luz María
Published: May 2024

En el siguiente artículo se aborda el tema demográfico del envejecimiento, y se presenta como consecuencia de una transición que se está dando de manera asincrónica en todas las regiones del mundo. Se explica la relación de la familia con este proceso y se hace hincapié en el hecho de dónde, cómo y con quién vivirán los adultos mayores (sus arreglos residenciales).
El cuidado y la intervención en el campo de la salud mental
Authors: Pérez Ramírez Berenice
Published: May 2024

El objetivo de este artículo es ubicar los malestares que se producen bajo el paraguas conceptual de la salud mental en el contexto capitalista. Si bien los factores económicos y políticos no son determinantes en la producción de malestares subjetivos, sí tienen una incidencia importante en su aparición, generalización y agudización. Frente a ello, se lanza la pregunta ¿cómo plantear el cuidado y la intervención en este campo? Uno de los hallazgos es desplazar la noción hegemónica de cuidado adaptativo e individual hacia un proyecto de intervención que apunte al reconocimiento de las emociones y los cuerpos.
Estética en trabajo social: El papel de la sensibilidad
Authors: Valadez Betancourt Zazil
Published: May 2024

En este artículo se reflexiona sobre la construcción de la epistemología propia del trabajo social y las posibilidades que el giro estético epistemológico abre a la disciplina. Al sumar la sensibilidad al concepto de comprensión, es posible detectar la presencia de la dimensión estética, por lo que el uso de dispositivos estéticos de intervención que partan de la sensibilidad y la subjetividad del otro, a través de la comprensión y el vínculo, permite transformar la mirada correctiva de la profesión, evidenciando las formas de dominación y poder que se han normalizado, para construir nuevas formas de vida en común.
“Tapadismo” y fragilidad democrática del partido Morena en la selección interna de la candidatura a la presidencia de la República en 2023
Authors: Zamitiz Gamboa Héctor
Published: May 2024

El artículo tiene por objeto demostrar la fragilidad democrática de Morena como organización partidista, frente a la autoridad que representa el presidente de la República como su líder fundador. Propone explicar cómo se desarrolló el proceso que se verificó en septiembre de 2023, el cual estuvo marcado desde un inicio, por desencuentros entre los aspirantes, reclamos por la falta de condiciones de equidad y señalamientos de uso de recursos públicos que favorecieron a quien obtuvo el nombramiento de “Coordinadora de Defensa de la Cuarta Transformación”. Con el fin de valorar el rendimiento de la organización política hacia el proceso electoral federal de 2024, se describen las principales estrategias de los actores, el desempeño de los órganos de dirección y los factores que determinaron su resultado
Nacionalismos de estado y «memoria histórica». Elementos subjetivos de la dominación en las sociedades capitalistas
Authors: Moya Vela Jesús , García Ramírez José de Jesús
Published: May 2024

La reflexión se presenta en torno al Estado nación, entendido como expresión de la dominación política de una clase sobre otra dentro de las sociedades capitalistas. El objetivo principal es discurrir acerca de la generación de subjetividades que coadyuvan a la reproducción de la explotación y dominación, fenómeno que se realiza de forma concomitante al establecimiento de instituciones y procesos políticos. Se sitúa el análisis en los nacionalismos engendrados por los Estados y en el proceso de implantación de «memorias históricas» para superponerse a las memorias colectivas. En el capitalismo, estos elementos subjetivos son parte de la lucha de clases
Smart Crop Prediction using IoT and Machine Learning
Authors: Chaudhari Prof. A. A.
Published: May 2024

Abstract: Agriculture is a crucial profitable motorist. It's a key to healthy biosphere. People depend on a wide range of agrarian products in nearly all aspects of life. growers need to manage with climate change, and meet rising demands for further food of advanced food quality. In order to escalate the yield and growth of crops, the planter needs to be apprehensive of the climatic conditions, hence abetting its decision of growing the suitable crop, under those factors. IoT grounded Smart Farming improves the entire husbandry system by covering the field in real- time. It keeps colorful factors like moisture, temperature, soiletc. under check and gives a crystalclear real- time observation. Machine literacy in husbandry is used to ameliorate the productivity and quality of the crops in the husbandry sector. Use of applicable algorithms on the tasted data can help in recommendation of suitable crop.
Prediction of Abnormal Growth of Breast Cancer Cell Using Support Vector Machine
Authors: Moundekar Chaitali Shrikrishna
Published: May 2024

Abstract: Breast cancer is a serious health concern that affects millions of women worldwide. Early detection of breast cancer is crucial for effective treatment and improved survival rates. Artificial intelligence (AI) has shown great promise in the field of medical imaging and has been increasingly used for breast cancer detection. Cancer is one of the most dangerous diseases to humans, and yet no permanent cure has been developed for it. Breast cancer is one of the most common cancer types. According to the National Breast Cancer foundation, in 2020 alone, more than 276,000 new cases of invasive breast cancer and more than 48,000 non-invasive cases were diagnosed in the US. To put these figures in perspective, 64% of these cases are diagnosed early in the disease’s cycle, giving patients a 99% chance of survival. In this paper we develop a system for diagnosis, prognosis and prediction of breast cancer using AI. This will assist the doctors in diagnosis of the disease. In this research work, we systematically reviewed previous work done on detection and treatment of breast cancer using genetic sequencing or histopathological imaging with the help of deep learning and machine learning We use of AI for breast cancer detection, including studies that have used mammography, ultrasound, and magnetic resonance imaging (MRI) as imaging modalities. AI can also improve the accuracy and efficiency of breast cancer screening and diagnosis, as well as the challenges that must be addressed to ensure the successful integration of AI into clinical practice. However, further research and development are needed to optimize AI algorithms and ensure their safety and effectiveness in clinical practice. Breast cancer detection has emerged as a critical area of research, leveraging the power of Artificial Intelligence (AI) to enhance diagnostic accuracy and efficiency. Utilizing AI technologies, particularly deep learning, enables the development of robust and precise models for early breast cancer detection. These models analyze mammographic images, identifying subtle patterns indicative of malignancies that may escape human eye detection. Transfer learning, employing pre-trained neural network architectures, has demonstrated significant success in leveraging existing knowledge for improved performance. The integration of convolutional neural networks (CNNs) and image processing techniques empowers AI models to discern subtle abnormalities, aiding in the timely identification of potential breast tumors. Additionally, AI-driven diagnostic tools can streamline radiologists' workflow, providing rapid and reliable assessments, ultimately contributing to early intervention and improved patient outcomes. As these technologies continue to evolve, the synergy between AI and breast cancer detection promises to revolutionize screening methods, fostering a paradigm shift towards more accurate, efficient, and accessible diagnostic practices in the realm of breast health.
Summarization and Translation Using NLP
Authors: Joshi Chiranjeevi
Published: May 2024

Abstract: Text summarization and translation are two critical tasks in natural language processing with significant applications in various domains such as news aggregation, document summarization, machine translation, and information retrieval. In recent years, there has been remarkable progress in the development of techniques and models for both tasks, leveraging advancements in deep learning and neural network architectures. This paper presents a comprehensive review and comparative analysis of state-of-the-art methods in text summarization and translation. First, we provide an overview of the different approaches to text summarization, including extractive, abstractive, and hybrid methods, highlighting their strengths and weaknesses. We discuss various evaluation metrics and datasets commonly used for benchmarking summarization systems, shedding light on the challenges and opportunities in this field.
GreenRoute Ballari: A Hybrid Approach for Optimizing Waste Collection Routes Using K-Means Clustering and Genetic Algorithm
Authors: Bellamkonda Manasa
Published: May 2024

Abstract: The exponential growth of the population in Ballari has exacerbated the challenge of municipal waste management, necessitating the development of efficient waste collection strategies to address environmental and social concerns. In response to that our system introduces a hybrid approach that employs K-means clustering and Genetic Algorithm, for optimizing waste collection routes tailored to the unique waste generation profiles of the region. By utilizing Geographic Information System (GIS) data that is in the form of GeoJSON files containing the spatial distribution of waste collection points, we propose a methodology that combines K-means clustering and Genetic Algorithm to develop intelligent and fuel-efficient routes. Our system not only benefits municipal authorities in resource deployment and planning but also aids waste carrier vehicle drivers in prioritizing routes. Our findings contribute to the transformation of Ballari City towards eco-friendly and smart urban development
Analytical Study for Prjice Prediction of Bitcoin Using Machine Learning and Artificial Intelligence
Authors: Kalaivani Mrs. K.
Published: May 2024

Abstract: Cryptocurrency transactions rely on encryption algorithms for security and decentralization. However, traditional machine learning algorithms often struggle with the dynamic cryptocurrency market, leading to inaccuracies. To address this, integrating Integrating sentiment analysis of Twitter data alongside Bidirectional Long Short-Term Memory (BiLSTM) and Bidirectional Gated Recurrent Unit (BiGRU) models enriches the analysis of cryptocurrency market dynamics. Twitter provides dataset from kaggle open source and the sentiment expressed by users on cryptocurrencies, enabling the prediction of tweet sentiment (positive, negative, or neutral) through Natural Language Processing (NLP). This integration enhances understanding of market sentiment's impact on cryptocurrency prices: positive sentiment may drive prices up, negative sentiment may lead to declines, and neutral sentiment may indicate stability. By analyzing sentiment alongside historical trends and emerging patterns, users gain a holistic view of cryptocurrency markets. This approach aids decision-making, improving transaction accuracy and efficiency. Ultimately, the combination of sentiment analysis with BiLSTM and BiGRU models advances the comprehension of cryptocurrency market dynamics, enhancing user insights and facilitating informed decisions in the volatile cryptocurrency ecosystem.
Smart Energy Meter by Using IOT
Authors: Rao N V Koteswara
Published: May 2024

Abstract: It is an IOT based paper electricity is one of the fundamental necessities of human beings which is commonly Used for Domestic, Agriculture, Industrial purpose. Power theft and Meter billings are biggest problems in recent days which causes a lot of loss to electricity board. If we can prevent these thefts we can save a lot of power. This is done by Smart Energy Meter by using IOT, present an efficient and cost-effective way to transfer the information of energy consumed by consumer wirelessly as well as it provides facilities to detect illegal usage of electricity. Smart Energy meter by using IOT basically consists of three major components namely controller, Wi- Fi, theft detection device. Whenever there is any fault or theft, the theft detector sensor detects the error. The controller plays a crucial role in keeping all the components in the working state. In this system the energy meter is connected to internet. The proposed system is capable of continuously monitoring and being notified about the number of units consumed to energy provider and consumer. The energy consumption is calculated automatically, and the bill is updated on the internet by using a network of internet of things. This automation can eliminate the manual work in electricity maintenance. In this paper mainly focuses on automatic billing, theft detection, power optimization and providing the relevant energy consumption information to user.
Helping Hands for Handicaps
Authors: Bairagi Deepika , , Nirmalkar Bhupendra , Sahu Manoj Kumar , Jamde Mohnish , Negi Rishita , Upadhyay Uday
Published: May 2024

Abstract: We have more advanced wheelchairs in today's generation. it includes joystick wheelchair, head motion control wheelchair, gesture control wheelchair etc. But with the advance technology it is expensive too, which is not affordable for most of the middle-class families. In order to provide an advanced wheelchair in an affordable price, we have to use less components to reduce the cost so that a person can buy it with a price less than the today’s basic bikes price. To achieve this, we used some basic electronic components such as Arduino MINI and NANO, gyro sensor, Node MCU, Motors etc. To get extra security we integrated some calling and GPS location features too. The person sitting in the wheelchair can control the wheelchair through hand gestures. Additionally, whenever the person sitting in the wheelchair faces any problem, such as if the wheelchair falls, the caretaker will receive a notification and through the GPS location, the caretaker will be able to reach their location.
Biodegradation of Pharmaceutical Pollutants Using Fungal Enzyme
Authors: Nancy  , Kumari Uma
Published: May 2024

Abstract: The potential of filamentous fungi and their enzymes are investigated for bioremediating pharmaceutical pollutants from wastewater thereby addressing the growing concern of emerging pollutants in water resources. Among the various microorganisms, the current abstract discusses the role of fungi in degrading antibiotics and persistent pharmaceutical compounds. These fungi allow the biodegradation via the formation of highly oxidative hydroxyl radicals. It summarizes the role of both intra (cytochrome P450) and extracellular (laccase) enzyme systems for the bioremediation of emerging clinical pollutants. It emphasizes the importance of both biosorption and biodegradation for effective pollutant removal by breaking down pharmaceuticals (e.g. antibiotics) and other hazardous compounds (e.g. endocrine-disrupting compounds, polycyclic aromatic hydrocarbons). Although the enzymes CYP450 are not directly engaged, their metabolic pathways execute mechanisms such as oxidation, the formation of reactive intermediates, and chemical modification, all of which result in the degradation of clinical pollutants. Amongst all enzyme systems in the case of laccase which oxidise a wide spectrum of substrates, converts them to free radicals. Additionally, the role of recombinant enzyme production and transgenic strains for pollutant degradation has also been elaborated. These considerations emphasise the need for ongoing research and biotechnological advancements to address the growing concern of pharmaceuticals and personal care product pollutants in water systems.
Organizational Culture Resilience and Subjective Happiness among Insurance Employees
Authors: Koppala Happ
Published: May 2024

Abstract: The Study of organizational culture looks at how people or groups interacts inside a company and how it affects how well the company performs in relation to its goals. It includes how different elements affect how an organization behaves, emphasizing the dynamics that shape the environment and how well it works to accomplish objectives. The ability to adjust to difficult situations in life by exhibiting mental, emotional, and behavioral flexibility is referred to as Resilience. It includes the capacity to adapt to demands from both the inside and the outside, which eventually enables one to successfully navigate trying circumstances and produce favorable results. Subjective happiness is the termed used to describe joy and fulfilment in life that is derived from self-report surveys and is impacted by both external and internal elements, including social interactions and the surrounding society and personality qualities. Businesses that offer financial safeguards against risk through a range of products such as property, casualty, health, and life insurance, are included in the Insurance industry. These organizations evaluate risks, gather premiums, and disburse claims in the case of insured occurrences. They are vital in preventing monetary losses for people, corporations, and other organizations. Understanding these factors informs how important insurance sector plays an role in the organizational world. The present study aims to determine the relationship of organizational culture on Resilience and Subjective Happiness of it employees. Sample of 164 employees who are working in the insurance sector was taken from Hyderabad, Kolkata and Bangalore. Organizational Culture Scale by Ghost and Srivastava, Brief Resilience Scale by Smith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., & Bernard, J, Subjective Happiness Scale by Lyubomirsky, S., & Lepper, H. S were used. The data were analysed using different statistical tools such Descriptive Statistics and Spearman Correlation. Findings revealed no significant relationship between organizational culture and Resilience, Organizational culture and Subjective happiness.
A Comprehensive Analysis of various Covid-19 Detection and Pandemic Prevention Systems and Methods Using Data Science
Authors: Kaushik Somil , Gupta Ritik , Jain Samarth , Rana Arun Kumar
Published: May 2024

Abstract: The paper proposes a technique for early Covid-19 test prediction using AI and data science. The study analyzes various data sources to understand the patterns and trends of the pandemic and the impact of various interventions on the spread of the virus. The proposed system integrates data from multiple sources to identify potential cases and can also track the spread of the virus in real-time. The system has high accuracy in predicting positive cases and has the potential to improve our ability to detect and predict Covid-19 cases, ultimately saving lives and reducing the economic impact of the pandemic. The proposed technique for early Covid-19 test prediction using AI and data science can be a game- changer in our fight against the pandemic. With the integration of multiple data sources, including individual health records, social media, and geographic data, the system can identify potential cases even before symptoms appear. This early detection can help individuals get timely medical attention and prevent the spread of the virus to others.