bluuebunny/crossref_metadata_2025 huggingface dataset:
Male pseudohermaphroditism in a dog: case report
Authors: Bertoldo Joselma da Silva Cavalcanti , Ribeiro Apolônio Gomes , Vilela Liana Mesquita , Soares Paola Teles , Teixeira Maria Juliana Coelho Dias da Silva , Nascimento Júlio Cézar dos Santos
Published: April 2024

Genital development disorders or anomalies have been described in several species of domestic animals. Sexual differentiation in mammals occurs sequentially and chronologically with the following distinct events in embryonic and faetal development: the determination of chromosomal sex at fertilisation, the development of gonadal sex and, finally, the development of the phenotypic sex in the foetus. Any errors in these processes lead to some form of intersexuality. In the literature, three types of intersexuality in companion animals are described: true hermaphroditism and male and female pseudohermaphroditism. The diagnosis is based on physical and imaging examinations, with confirmation by histopathological analysis and karyotyping. As there are few reports of this sexual anomaly, this case report addresses a case of male pseudohermaphroditism in a Shiba Inu canine. Clinical examination revealed the presence of a hypertrophied clitoris in the vaginal canal, without obstruction of the urethral canal. An abdominal ultrasound examination revealed splenomegaly, signs suggestive of chronic cystitis associated with bladder and urethral microuroliths, as well as a small tubular structure without cranial continuity. A blood count, serum biochemistry and the determination of the hormonal levels were performed pre- and post-surgery. Surgical treatment was instituted through exploratory laparotomy, revealing the presence of testicles in the abdominal cavity, a uterus, a cervix and uterine horns. The findings were sent for histopathological analysis, where diffuse testicular hypoplasia and endometrial hyperplasia, associated with neutrophilic and lymphoplasmacytic metritis, were evaluated. As these findings are associated with anamnesis, it is concluded that this case is a male pseudohermaphrodite.
Pancreatic extramedullary hematopoiesis in a dog
Authors: Smaniotto Crisan , Dahm Vinicius , Ferronato Amália , Pinheiro Lorena dos Santos , Detoni Pietra Malu Franzener , Viott Aline de Marco
Published: April 2024

Extramedullary hematopoiesis (EMH) is a condition in which hematopoietic cells proliferate outside the bone marrow. It is more commonly observed in the spleen, but its presence is also found less frequently in other sites such as lymph nodes and the liver. The aim of this report is to describe a case of EMH in an atypical location. Necropsy of a 10-year-old male Rottweiler dog revealed a nodular lesion in the pancreatic tissue that was microscopically compatible with EMH. This condition is rare in the pancreas, with no reports existing in veterinary medicine and only one found in human medicine, where it was suggested to be associated with squamous cell carcinoma of the lung. The authors of the present case suggest the inclusion of EMH as a differential diagnosis in cases of nodular pancreatic lesions and reaffirm the importance of histopathology for the correct diagnosis.
Smart Nanobiomaterials for Gene Delivery in Localized Cancer Therapy: An Overview from Emerging Materials and Devices to Clinical Applications
Authors: Shamaeizadeh Armin , Beigi Anahita , Naghib Seyed Morteza , Tajabadi Maryam , Rahmanian Mehdi , Mozafari M. R.
Published: April 2024

Researchers in various fields continue to discover improved ways of local delivery of
drugs to specific locations and try to increase the efficiency of these methods. Extensive research
has been done on smart nano-biomaterials for drug delivery systems (DDS) in different dimensions.
With the advancement of biomedical nanotechnology, conventional smart DDS with stimuli-
responsive capability has been developed. Smart nano-biomaterials can respond to environmental
changes caused by endogenous or exogenous elements: endogenous factors such as environmental
pH, temperature gradient, enzymes, oxidation, and reduction potential. As well as exogenous
factors, including light radiation, ultrasound, electric and magnetic fields. Currently, smart
DDSs count as a major category in DDS and disease treatment. Currently, smart DDS are of great
interest in drug delivery and treatment of diseases. With the improvements in gene and protein
therapy, new methods have been presented to treat diseases without effective conventional treatment,
especially cancer. Finally, the use of nanoparticles expanded due to the need for appropriate
gene and protein delivery systems. This review discusses the advantages of protein and gene therapy,
their challenges, and gene and protein delivery systems with nanoparticle-based delivery.
The Gold Standard Diagnosis of Schizophrenia is Counterproductive: Towards Quantitative Research and Diagnostic Algorithmic Rules (RADAR) and their Derived Qualitative Distinct Classes
Authors: Maes Michael
Published: April 2024

:

Recently, we developed Research and Diagnostic Algorithm Rules (RADAR) to assess
the clinical and pathway features of mood disorders.

:

The aims of this paper are to review a) the methodology for developing continuous RADAR
scores that describe the clinical and pathway features of schizophrenia, and b) a new method to visualize
the clinical status of patients and the pathways implicated in RADAR graphs.

:

We review how to interpret clinical RADAR scores, which serve as valuable tools for monitoring
the staging of illness, lifetime suicidal behaviors, overall severity of illness, a general cognitive decline
index, and a behavior-cognitive-psychosocial (BCPS) index that represents the “defect”; and
b) pathway RADAR scores which reflect various protective (including the compensatory immune-
inflammatory system) and adverse (including neuro-immune, neuro-oxidative, and neurotoxic
biomarkers) outcome pathways. Using RADAR scores and machine learning, we created new,
qualitatively different types of schizophrenia, such as major neurocognitive psychosis and simple
psychosis. We also made RADAR graphs, which give us a quick way to compare the patient's clinical
condition and pathways to those of healthy controls.

:

We generated a personalized fingerprint for each patient, encompassing various clinical and pathway
features of the disorder represented through RADAR graphs. The latter is utilized in clinical
practice to assess the clinical condition of patients and identify treatment-required pathways to
mitigate the risk of recurrent episodes, worsening BCPS, and increasing staging. The quantitative
clinical RADAR scores should be used in schizophrenia research as dependent variables and regressed
on the pathway RADAR scores.
Therapeutic Impact of Ginger and Flaxseed in the Realm of Functional
Foods
Authors: Nethaji Dakshan Kumar , Alagu Thirumurugan , Sankar Devarajan , Thiyagarajan Sathishkumar
Published: April 2024

:

The efficacy of synthetic drugs in managing disease development and progression has
faced challenges amidst shifts in lifestyle and heightened health consciousness. As a result, medicinal
plants and seeds, with their constituent compounds, are gaining recognition for their potential
in treating various illnesses. Ginger and flaxseed, as long-established herbal remedies, have made
notable contributions to culinary and medicinal fields. Their robust flavor and aroma and anti-inflammatory,
antioxidant, and analgesic properties extend their use beyond culinary spice to medicinal
applications. Furthermore, their capacity to preserve food adds to their appeal, making ginger
and flaxseed powerful and multi-functional elements in food production and medicinal contexts.
This review highlights the therapeutic advantages of ginger and flaxseed in combating different
diseases, focusing on their unique characteristics attributable to bioactive components.
Design of Global RLC Interconnect Circuit with Analytical Delay Model
Authors: Bhardwaj Himani , Jain Shruti , Sohal Harsh
Published: April 2024

Background:

With the advancement in technology nodes and scaling trends, the majority
of the device performance depends upon the interconnections made between two or more
devices. With these scaling trends, frequency plays a vital role. As the technology decreases, frequency
tends to rise to giga-hertz. This increase in frequency gives rise to inductance parameters
in the interconnect circuits. For long wires, the inductive impedance can become comparable to
the resistive component due to which performance degradation can be observed along with overshoot
and crosstalk issues that can no longer be ignored.

Method:

This article aims to examine the delay model and reconstruct an interconnect circuit that
serves as a transmission line, ranging in length from 1 mm to 10 mm.

Result:

By keeping the frequency high, low voltage and rise/ fall time, performance parameters
such as delay, power consumption, and overshoot are observed.

Conclusion:

The interconnect structure is compared with another state-of-the-art technique.
Patient-Doctor Relationship and Ethical Concerns Regarding Non-Disclosure of Medical Information
Authors: Batool Aqsa , Batool Warda , Malik Shiza
Published: April 2024

Patients have a fundamental right to be informed about their medical
treatments and the implications of anesthesia. Failing to disclose such crucial
information is ethically unacceptable. However, there are instances where physicians,
concerned about the psychological distress that comes with awareness of a severe
illness, opt to keep patients in the dark. In such cases, the responsibility of decisionmaking often falls upon the patient's family or the clinicians themselves. Additionally,
concerns about medical confidentiality and patient comprehension can lead to
incomplete disclosures regarding surgical procedures. This chapter delves into the
ethical dilemmas arising from the withholding of information by healthcare
professionals and its profound impact on patients, their families, and healthcare
workers. It also explores how these practices influence the public perception of
healthcare practitioners. The pressing need in this context is to establish comprehensive
regulations and standardized guidelines for information privacy and disclosure within
the healthcare sector, ensuring the long-term delivery of satisfactory healthcare
services.
In vitro Fertilization - An Insight into Ethical Issues
Authors: Munir Anushe , Arshad Arooj , Malik Shiza
Published: April 2024

IVF (In vitro fertilization), by definition, is a complex series of procedures
used to treat fertility or genetic problems and assist with the conception of a child.
Reproduction is a basic human right and an inborn instinct, the existence of which no
one can deny; however, sometimes nature does not allow a man to fulfill this desire. In
this modern world, people no longer take ‘No’ for an answer to nature and fate
incidences, and for this reason, many who are unable to conceive naturally opt for
medical procedures like IVF to become parents artificially. The initial concept behind
IVF aimed to help married couples have children, but as times progressed, numerous
ethical issues have emerged. This chapter briefly explains some aspects of in vitro
fertilization, including its introduction, historical background, types, prevalence,
different ethical issues related to it and its deviation from the bioethics principles.
Abortion–The Ethical Preview
Authors: Arif Ammara , Ahmad Bushra , Sharif Hina , Malik Shiza
Published: April 2024

The deliberate termination of a pregnancy before a fetus can live
independently is called abortion. On the other hand, the natural ending of pregnancy is
called a miscarriage. This chapter describes abortion descriptively, along with its types,
causative factors, risks associated with it, and the potential consequences it can have on
the individual and society. It also discusses the different religious points of view on
abortion and the worldwide prevalence of abortion, with special reference to Pakistan.
Some organizations are also mentioned that are working to prevent it. An extensive
discussion has also been carried out regarding its ethical concerns. In the ending,
keeping in mind all the factors, a brief conclusion has been drawn.
The Ethical Problems Associated with the Impacts of Social Media on Healthcare
Authors: Moin Aleema , Majid Mahnoor , Malik Shiza
Published: April 2024

Social media is a useful innovation of the 21st Century, which has provided
mankind with a wide range of facilities and comforts. It is a benchmark of
communication, technology, and business which comes with several risks. Different
countries and organizations have adopted various strategies such as the enactment of
bills to reduce the unethical acts being done on social websites such as Facebook,
Twitter, MySpace, etc. Through guidance and strict regulations, such online unethical
misconduct can be restricted ensuring a safe working environment for the users.
The Psychological and Ethical Default Lines Behind Gender Discrimination
Authors: Ali Mahnoor , Hayat Momina
Published: April 2024

Since the evolution of life on Earth, there has been a great expression of
gender discrimination. Women have always been its prime and more susceptible target.
Be it the absence of rights to property or the limited acceptance in the education field,
etc., women have always been the constant victims of this issue. This chapter explores
the ethical issue of gender discrimination against women in general, particularly in
workplaces. It sheds light on the prevalence of gender biases with special reference to
Pakistan. The basic causes of gender disparity and discrimination against women have
been stated in the light of various studies that were conducted. Some of the methods
and efforts that are being made to minimize this ethical issue are stated with examples
of some well-known organizations from all around the world. Moreover, the
consequences of gender discrimination against women in society and especially in
workplaces have been analyzed.
Insane Punishments or Humane Rehabilitation? Mental Health of Prisoners and Ethical Issues Associated with Lack of Rehabilitation
Authors: Malik Shiza , Khan Maham
Published: April 2024

Ethical debates over rehabilitating prisoners have been in discussion since
imprisonment began. Rehabilitating rrisoners is meant to restore a person who is
incarcerated for some crime back to a beneficial life. The interpretation of
rehabilitation is that if anyone commits a crime, it does not necessarily prove him to be
a permanent criminal and there is always a possibility that they might quit those illegal
acts and get back to normal life and become a functional member of society.
Researchers have shown that these rehabilitation programs have proved to be
practically handy in bringing out something better for the prisoners themselves and
upright for society. Rehabilitation programs help to comprehend societal behavior and
psychological needs. This piece of literature has been adopted through a
comprehensive data analysis approach. Data regarding successful rehabilitation
services has been gathered, including the world's successful practices. The purpose is to
make the scientific, social, healthcare and justice-associated public aware of the
positives of rehabilitation on the behavior of people. The need is to ensure the
implementation of rehabilitation programs on a wider scale in countries where
punishment is preferred to control crimes.
Lotus toot extract: An investigation of its antioxidant and anticancer properties for potential application in functional foods
Authors:   Department of Medical Laboratory Science, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Al- Kharj 11942, Saudi Arabia, Binshay Abdulkarim S. , Aldakheel Fahad M. ,   Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia, Aloraini Ghfren S. ,   Department of Medical Laboratory Science, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Al- Kharj 11942, Saudi Arabia
Published: April 2024

This study investigates the effects of lotus root extract (LRE) on antioxidants and cancer prevention to understand how lotus can be used as a natural ingredient in health-promoting foods. We tested the extract's ability to neutralize harmful molecules using the DPPH assay and found that its effectiveness increases with the amount of extract used. The concentration of 22.21 g/mL was key for the extract to show its protective effects. Additionally, our research showed that LRE is good at removing harmful substances like nitrite (21.14 µg/mL) and hydrogen peroxide (24.91 µg/mL). Importantly, lotus extracts were especially effective against human breast cancer cells. Through MTT analysis at 15.60 g/mL, we found LRE to be very effective in killing these cancer cells. This killing process involves the increase of certain proteins (p53, caspase 3, and 9) and the breaking up of DNA, which are signs of cancer cells being programmed to die. Our findings indicate that LRE could be a strong candidate for cancer prevention. This research sheds light on how lotus root extract could be used in health-promoting foods and suggests it might be worth exploring more as a treatment against cancer.
Emotional intelligence and its relation to job creativity in preschool teachers of at-risk children: A cross-sectional study
Authors:   Department of Education, Faculty of Science and Arts, Northern Border University, Arar, Saudi Arabia, Abdulkader Waleed Fathi Abdulkarim , Al Naggar Samer Ahmed Mohamed ,   Department of HR, College of Business Administration, Northern Border University, Arar, Saudi Arabia
Published: April 2024

This research investigated how emotional intelligence relates to job creativity in preschool teachers working with children who might have specific learning disabilities (SLDs). Earlier research indicates a strong link between emotional intelligence and factors like creativity, job satisfaction, engagement, and well-being. These factors are important in positive psychology, benefiting both teachers' and students' life and work quality. However, there's limited research on emotional intelligence's impact on job creativity in preschool education, particularly for teachers of children at risk for SLDs. This study aimed to address this lack of information by surveying 140 female preschool teachers. They were assessed using the Schutte self-reported emotional intelligence scale (SSREIS) and the job creativity scale (JCS). The findings showed that emotional intelligence accounts for 30% of the differences in job creativity. This was determined after considering factors like age, education level, kindergarten type, and teaching experience. The study found a positive, significant link between emotional intelligence and job creativity in these teachers. It emphasizes the need to improve emotional skills and job creativity in early childhood educators. This includes creating training programs and supportive environments. The study also suggests new research areas to enhance teaching effectiveness and student outcomes.
Psychometric Properties of the Metacognitions About Online Gaming Scale in the Chinese Population and Its Relationship With Internet Gaming Disorder: Cross-Sectional Study
Authors: Lin Shuhong , Chen Xinxin , Tan Linxiang , Liao Zhenjiang , Li Yifan , Tang Ying , Huang Qiuping , Shen Hongxian
Published: April 2024

Background

Metacognitions about online gaming have been shown to be correlated with Internet Gaming Disorder (IGD). Knowledge of metacognitions about online gaming can help to understand IGD. The Metacognitions about Online Gaming Scale (MOGS) is a reliable and valid tool to measure specific metacognitions about online gaming in both adults and adolescents, which is lacking in China.

Objective

This study was conducted to assess the psychometric properties of the Chinese version of the MOGS (C-MOGS) and its relationship with IGD in the Chinese population.

Methods

A total of 772 Chinese individuals (age: mean 21.70, SD 8.81 years; age range: 13-57 years; 458/772, 59.3% male) completed a web-based questionnaire survey, including the C-MOGS and a battery of validated scales measuring IGD, gaming motives, depression, and anxiety.

Results

Through exploratory and confirmatory factor analyses, the 3-factor structure was confirmed to have adequate model fit and internal consistency reliability (Cronbach α≥.799, Guttman split-half coefficients≥0.754). Concurrent validity of the C-MOGS was supported by its correlations with IGD (P<.001), gaming motives (P<.001), depression (P<.001), and anxiety (P<.001). Furthermore, the incremental validity analysis showed that the C-MOGS predicted 13% of the variance in IGD while controlling for gender, age, weekly gaming hours, gaming motives, depression, and anxiety.

Conclusions

This study provides evidence that the psychometric properties of the C-MOGS are appropriate and emphasizes its positive association with IGD. The C-MOGS is a reliable and valid instrument for mental health workers to assess metacognitions about online gaming in the Chinese population.
Developing a Mood and Menstrual Tracking app for people with Premenstrual Dysphoric Disorder: A User-Centered Design Study (Preprint)
Authors: Apsey Chloe Jean , Di Florio Arianna , Stawarz Katarzyna
Published: April 2024

BACKGROUND

People with Premenstrual Dysphoric Disorder (PMDD) experience a range of symptoms that increase and decline as a result of the natural hormonal fluctuations of the menstrual cycle. For the diagnosis of PMDD, symptoms severity needs to be recorded daily for at least two symptomatic cycles. In recent years, the rise in interest in Femtech (tools and technology developed to address women’s health issues) has resulted in a large quantity of ‘Period-tracking apps’ being developed and downloaded. However, there is not currently a menstrual and mood tracking app that has the full capabilities to accurately capture the symptoms of PMDD to aid with diagnosis.

OBJECTIVE

Our aim was to collect feedback and insights from potential users (i.e., people with lived experience of PMDD/severe PMS) to inform the development of a prototype app that could support prospective mood monitoring of PMDD symptoms for research, and to support diagnosis.

METHODS

We conducted two user-centered design studies. Study 1 consisted of 4 interviews with individual participants who had taken part in our previous web-based mood tracking study for PMDD. During the interviews participants were encouraged to identify the strengths and weaknesses of the existing web-based mood tracking system. Study 2 consisted of 2 workshops with a total of 8 participants, in which participants were asked to discuss the needs and desirable features they would like in a PMDD-specific tracking app. Interviews and workshops were recorded and the transcripts were analyzed inductively following a thematic approach.

RESULTS

Four themes were identified from the interviews and workshops with potential users: 1) Ease of use as key consideration for users with PMDD; 2) Avoiding a reductionist approach for a broad range of symptoms; 3) Recognizing the importance of correct language; and 4) Integrating features for the users’ benefits. These suggestions align with the current understanding of the implications of PMDD symptoms on daily activities, and with findings from previous research on encouraging long-term engagement with apps.

CONCLUSIONS

To meet the needs of potential users with PMDD or suspected PMDD, there needs to be a special consideration to how their symptoms impact the way they might interact with the app. In order for users to want to interact with the app daily, particularly during the days where they may not have symptoms to track, the app needs to be simple yet engaging. Additionally, if the app provides insights and feedback that can benefit the well-being of the users, it’s suggested that this could ensure prolonged use.
Preparation, characterization of Selenium nanoparticles from E. coli and study its effect on pathogenic bacteria. (Preprint)
Authors: yasir rasha , Zaki Neihaya Heikmat
Published: April 2024

UNSTRUCTURED

Bacterial infections might be regarded as one of the primary issues confronting the healthcare system at the moment. The development of nanoparticles offers an alternative to the usage of antibiotics. Sixty five isolates of Escherichia coli were isolated from various specimens, and used for the production of selenium nanoparticles at concentration 100 mM during 48 h, pH 8, agitation speed 160 rpm, and visualized by appearance of red color in the medium. Characterization employing UV-Vis spectroscopy showed absorption band formed at 266 nm, while, in XRD the Se-NPs peaks centered at 2θ of 27.605 , 32.092, 45.652, 56.815, 66.458 and 75.632, corresponded to the crystal planes of (100), (101), (012), (200),(022) and (210). Zeta potential demonstrate the colloidal dispersion's stability of Se-NPs with negative charge (-6mV), and SEM showed spherically-shaped NPs with a size range between (46.71–71.91). Antimicrobial activity showed the highest inhibition zones to Klebsiella pneumoniae and Staphylococcus aureus (19.67 and 18.50) mm at 50 µl/ml respectively. The maximum antibiofilm activity of SeNPs was observed to be against S. aureus, P. aeruginosa, Klebsiella pneumoniae and E. coli at Sub MIC concentration were (80.81%,75.35 %, 64.67% and 65.41%). So, it can be used as an effective novel antimicrobial and antibiofilm agent.
A Comparative Study of Chinese and English Online Shopping Reviews from the Engagement of Appraisal Theory—Take Taobao Electronic Products Online Shopping Reviews as Example
Authors: Qi Qinyi , Jin Jing
Published: April 2024

Online shopping has developed into a popular mode of consumption. Many e-commerce platforms offer customer feedback mechanisms, and customers can rate products after purchase. In addition to advice from retailers, reference opinions are also provided for potential consumers. Consumers can use reviews to interact with potential consumers. Therefore, from a linguistic perspective, this interactive process has an interpersonal meaning. This paper used engagement of appraisal theory to analyze and compare Chinese and English online shopping reviews concerning the engagement and its distribution. 100 Chinese online shopping comments and 100 English online shopping comments about the same type of electronic products were selected, then they were organised, categorised and analysed according to the theoretical framework. The conclusions are that Chinese and English consumers can change the level of discursive responsibility through engagement resources, thus expanding or narrowing the space of dialogue with potential consumers, and secondly English consumers tend to use accurate and clear intervening resources, while Chinese tend to use uncertain and vague engagement resources. From a cross-cultural perspective, this study can help Chinese and English potential consumers to identify evaluation resources, as well as suggestions for Chinese and English businesses on how to internationalize their products.
A Critical Discourse Analysis of the Civil Judgment of “The Besieged City” Copyright Infringement Case
Authors: Ren Qing
Published: April 2024

Based on Fairclough’s three-dimensional model, this paper sets out to give a critical discourse analysis of the civil Chinese judgment of“The Besieged City”Copyright Infringement Case by adopting a descriptive and explanatory approach. This study analyzes the main linguistic manifestations of power asymmetries in the language of a civil judgment and investigates how the power relations among different participants are shown in the social court context. It is found that address forms, formal words, nominalization, modality, imperatives and ellipsis are the main linguistic manifestations of power asymmetries among court participants. The interpretation and explanation of the situational court context manifests to a certain extent the encoding power relations, and such social structure of power relations help shape the discourse of judgment, and the discourse itself reinforces the enactment of the power relations. It is hoped that the findings of the present research may provide legal professions with new insights into drafting and reading judgments and provide reference for legal laypersons to have a critical understanding of civil judgments whenever they become a reader of this kind of judicial genre.
Structural and Functional Concept of Formation of Interpretative Competence of Future Teachers of Choreography in the Process of Professional Training
Authors: Cherkasov Volodymyr
Published: April 2024

The study characterized the structural and functional concept of the formation of interpretive competence of future teachers of choreography in the process of professional training, investigated the essence of definitions, “interpretation”, “competence”, and also proved that the effectiveness of the formation of the specified phenomenon depends on the teacher’s mastery of the method of compositional construction of a choreographic work, objectivity in the interpretation of works of choreographic art, the professional and practical experience of the interpreter, the intellectual and creative nature of the director’s activity, as well as the level of development of his artistic and creative thinking.
marcador discursivo por lo menos en el español de Buenos Aires: de la cantidad mínima a la atenuación
Authors: Funes María Soledad
Published: April 2024

En el marco del Enfoque Cognitivo Prototípico (Langacker, Lakoff, Hopper, entre otros), el presente trabajo propone el análisis del marcador discursivo por lo menos en el español de Buenos Aires. Se sostiene que por lo menos manifiesta desde valores más concretos (cantidad mínima) hasta valores más pragmáticos (atenuación) en un continuum semántico-pragmático en el que estos significados se relacionan entre sí mediante el atributo de [+imprecisión], que aporta la preposición por. Sobre la base de estos significados, puede describirse el comportamiento sintáctico discursivo que manifiesta por lo menos. De acuerdo con cada contexto de uso, por lo menos se comporta como reformulador o focalizador. No se hallaron ejemplos en el corpus que puedan asociar el marcador a una función de tematizador (esto es, un conector que introduce información conocida que no persiste en el discurso siguiente). En cuanto a las funciones discursivas, por lo menos se comporta como un focalizador cuando presenta valor de cantidad —porque introduce información nueva que persiste a la derecha, sin presencia de pausa—, mientras que funciona como reformulador cuando se usa como estrategia de atenuación —ya que introduce información conocida que persiste, y que aparece generalmente entre pausas—. Para comprobar las hipótesis, se analizan ejemplos extraídos del corpus oral preseea-Buenos Aires.
Las encuestas que buscan medir la ideología neoliberal y la lucha política
Authors: Acuña Murillo Ivonne
Published: April 2024

Hacer ciencia desde otro lado es lo que se busca con el levantamiento de dos encuestas: la Encuesta Nacional de Culturas Políticas y Democracia (ENCPD) 2021 y la ENCPD 2023. Primero, porque se busca trascender marcos teórico-metodológicos aplicados desde visiones conservadoras tanto científicas como políticas. Segundo, porque se pretende observar y medir qué tanto la ideología neoliberal, en materia política y económica, ha permeado en la forma en la que la ciudadanía concibe a la democracia, tanto a nivel conceptual como práctico, y qué valores relacionados con la solidaridad, la confianza y la cooperación perviven, como cultura política subordinada e invisibilizada, bajo el esquema aplastante de la cultura política hegemónica. Tercero, porque se incluyen reactivos dirigidos a medir el impacto de la guerra político-retórica emprendida en contra del gobierno federal en el contexto político actual.
Approaches for Maximizing Maximum Power Point Tracking and Evaluating Operational Constraints in Photovoltaic Systems
Authors: Dandotiya Dr. Abhinandan Singh
Published: April 2024

Abstract: Optimization techniques have broad utility in multiple engineering fields, including activities such as modeling, system identification, parameter estimation, forecasting, and control of intricate systems. This innovation emphasizes the use of optimization approaches to control the performance of Photo-voltaic (PV) array systems. The main difficulty lies in the nonlinear correlation between current and voltage (I-V) characteristics of PV arrays, resulting in variations in the location of the Maximum Power Point under varied climatic circumstances. It is crucial to track this Maximum electricity Point efficiently in order to collect the highest amount of electricity possible from the photovoltaic devices. Maximum Power Point Tracking is a tracking procedure that optimizes power generation by dynamically altering the operating voltage to coincide with the MPP. In order to tackle this difficulty, the paper suggests a unique two-stage Maximum Power Point Tracking technique. The initial phase applies the Weightless Swarm Algorithm to evaluate the Maximum Power Point in an offline manner. The subsequent phase employs an online Adaptive Perturb & Observe technique to continuously track the MPP in real-time. In addition, an Approximate Single Diode Model is created to quickly assess the output power. In order to verify the suggested method, computer simulations are performed utilizing a Maximum Power Point Tracking system that is combined with a Single-Ended PrimaryInductor Converter
Analysing Patterns of Gender-Based Violence in India: Insights from NCRB Data– 2020
Authors: Dandotiya Dr. Abhinandan Singh
Published: April 2024

Abstract: Women hold a significant and esteemed status in Indian society. The Vedas revered women as "DEVI" goddesses, extolling their qualities as mothers, creators, and givers of life. However, their exaltation was a little imaginary, since women in our patriarchal society in India were completely suppressed and subordinated at the same time. Because society insisted on holding fast to traditional ideas, Indian women across the nation continued to be subjugated and oppressed. This was the case for domestic as well as public, physical, emotional, and mental abuse. This Research analyse the reports and articles on crime against women in detail. The United States and its territories' National Crime Records Bureau (NCRB) Report-2020 has been examined
Night Time Car Accident Prevention with AI Vision
Authors: Aggarwal Yash
Published: April 2024

Abstract: Night vision object detection with computer vision performs a vital function in diverse fields, when its dark, regular computer vision has trouble seeing things clearly. But because of new technology, we can now detect objects better in the dark. Our approach uses advanced learning methods and special sensors to help us see in darkness. By improving images, picking out important details, and using strong computer programs, we can spot objects accurately. After lots of testing, we've found our system works really well, with few mistakes and it's fast too. It's useful in surveillance, self-driving cars, security, and rescue missions, making dark places safer. So, basically, our system is like giving night vision to computers. It's like putting on special glasses that help you see in the dark. With this technology, we can keep an eye on things even when it's hard to see, whether it's for keeping people safe or making sure our cars can drive themselves without crashing.
A Model of Accident Avoiding System for Trains
Authors: Reddy V. Purna Chandra
Published: April 2024

Abstract: Safety must be the top most priority in train running and it plays an important role in safe running of trains in our country. Already many systems are existed to avoid accidents, even though an attempt is made in this project work to study the subject of train accidents avoiding systems to enhance the technology further. The Train Collision Avoidance System (TCAS) is the major subject to detect unsafe situations arising due to over speed and train collisions in station area. The advanced accident prevention methods must be incorporated those measures under which the trains will be in constant communication with the protection systems through electronic communication systems. Although, Indian Railways have safe running devices, we have made an effort to cover few more important features like, 1 – to detect the track break in running rail track, 2 – object detection in between the tracks with auto control, and 3 – auto stop when train detects Red signal present over the track side signal post. These are the three important parameters incorporated in our project work and for live demo, a mini model train will be constructed over which all required sensors and their control circuits will be installed to prove the theme practically.
Cradle Care
Authors: Deshmukh Prof. Kiran
Published: April 2024

Abstract: In a rapidly evolving landscape where digital solutions are revolutionizing healthcare, the advent of artificial intelligence (AI) has ushered in a new era of comprehensive support for expectant mothers throughout their pregnancy journey. This abstract introduces an innovative Pregnancy App with AI that aspires to bridge gaps in traditional healthcare systems, offering proactive, accessible, and personalized guidance to address the critical needs of both the mother and the unborn child. Pregnancy represents a pivotal phase in a woman's life, and ensuring the well-being of both mother and child is paramount. This groundbreaking Pregnancy App with AI is meticulously designed to transform the way we approach prenatal care, empowering expectant mothers with the tools they need for a healthy and informed pregnancy experience. This presentation unfolds the core objectives of the Pregnancy App, shedding light on its integration of cutting-edge AI technologies, and the research underpinning its development. By harnessing collective knowledge from an extensive literature survey, we have identified key trends, challenges, and opportunities that have profoundly influenced the features and functionalities of our application. In summary, the Pregnancy App with AI stands at the forefront of digital healthcare solutions, redefining the pregnancy journey by offering personalized, proactive, and accessible support. Through the integration of cutting-edge AI technologies and the insights garnered from in-depth research, our application promises to transform the way we approach prenatal care, ensuring the well-being of both mother and child throughout this critical phase of life
Social Connectedness and Psychological Well-Being Among Divorced Women
Authors: Rajeev Nandana , Vijayan Dr. Deepthi
Published: April 2024

Abstract: In today's world, Social Connectedness (SC) and Psychological Well-Being (PW) are strongly influenced by marital status. With a focus on married and divorced women, this study investigates the connection between Psychological Well-being, Social Connectedness, and marital status. Through the use of standardized evaluations, 61 married and 41 divorced women participated and shared their experiences. Married women demonstrated higher levels of Social Connectedness and Psychological Well-Being when t-tests were used to compare the groups. Positive correlations between Psychological Well-being and Social Connectedness were found in both groups using Pearson's correlation analysis. There were differences in the distribution of the Social Connectedness data, which calls for consideration of data normalization. Women's Psychological Wellbeing and Social Connectedness are significantly influenced by their marital status, underscoring the connection between relationships and mental health. The results point to custom therapies for women in various marital situations.
Computational Analysis and NGS for Human LDHC Complexed with NAD+ and Ethylamino Acetic Acid (Lung Cancer)
Authors: Kumari Uma , Nivas Saran Sri , Singh Mohini , Sahu Pinki Raj
Published: April 2024

Abstract: This study presents a multidimensional exploration of the structural and functional characteristics of the human Lactate Dehydrogenase C (LDHC) complexed with NAD+ and ethylamino acetic acid (EAA), focusing on its implications in lung cancer. Leveraging data from the Protein Data Bank (PDB) and Molecular Modeling Database (MMDB), a comprehensive analysis was conducted using various computational tools and resources. Structural insights were gained through PDBsum and RasMol, elucidating molecular interactions and identifying potential drug-target sites. Sequence analysis via BLAST and Multiple Sequence Alignment provided further understanding of conserved sequences and structural motifs. Visualization and manipulation of molecular structures were facilitated by PyMOL, enabling the identification of active drug-target sites. Proteinligand docking studies using the CB-Dock2 server assessed the efficiency of LDHC complexation with NAD+. Structural validation through the SAVES server ensured the reliability of the complex structure. Additionally, biological network analysis using the STRING database revealed associations with gene ontology and structural classification of the protein, offering insights into targeted interventions in the ancestry of the protein. This comprehensive approach provides valuable insights into LDHC's role in cancer biology and offers promising avenues for therapeutic development in lung cancer.
Building a Greener Future: Exploring Sustainable Construction Practices
Authors: Meena Rahul , Prakhar  , Mishra Nitesh , Manavtal Siddharth , Meena Rahul , Jangid Jetender B.
Published: April 2024

Abstract: The paper aims to assess the levels of awareness among India practitioners regarding sustainable construction and identify the barriers that hinder its implementation. It adopts a mixed-method approach with questionnaire surveys and interviews to gather data from industry stakeholders. The findings reveal that industry practitioners have average levels of awareness, with a focus on practices such as reduce, reuse, and recycle and green building certification.
Secure Cloud Services for the Healthcare Industry: Addressing Unique Challenges and Ensuring Compliance
Authors: Samant Prajakta Sudhir
Published: April 2024

Abstract: The healthcare industry is increasingly adopting cloud computing to manage patient data, provide telehealth services, and support remote work. However, this adoption presents unique challenges due to stringent regulations governing the handling of personal health information (PHI), such as HIPAA in the United States and GDPR in the European Union. Noncompliance with these regulations can result in significant financial penalties, reputational damage, and loss of patient trust. This article explores the specific data security needs of the healthcare industry, the challenges in adopting cloud services, and the essential features of secure cloud services tailored for healthcare. It also discusses the integration of artificial intelligence (AI) and automation in cloud services to enhance data security and operational efficiency, as well as future trends in cloud computing for healthcare, such as the increasing adoption of AI and machine learning for predictive analytics and automated threat detection. By providing a comprehensive overview of the data security needs, challenges, and solutions in adopting cloud services for healthcare, this article aims to assist healthcare organizations in making informed decisions when considering the adoption of cloud services and to highlight the importance of prioritizing data security and compliance in the digital transformation of the healthcare industry.
Forecasting US Inflation Trends: Insights from Time Series Analysis
Authors: Hassan Raheel , Bhandari Kanishk , Singh Rajkumar , Sankhyan Yokshit , Kumar Deepanshu , Gupta Yash
Published: April 2024

Abstract: In our research, we dive into the world of forecasting US inflation using the ARIMA (Auto-Regressive Integrated Moving Average) model. We crafted a predictive framework by meticulously analyzing data, conducting tests like the Augmented Dickey-Fuller, and crunching metrics such as RMSE and MSE. Our meticulous model selection procedures involve carefully examining many ARIMA configurations to identify the ideal parameters, ensuring robustness and accuracy in forecasting inflation trends over the study period. Our findings show that the ARIMA (0,1,2) model outperforms others, offering reliable forecasts. These results not only showcase the model's effectiveness but also provide valuable insights for both policymakers and market players. By understanding potential inflationary trends, they can confidently navigate risks and make informed decisions, ultimately fostering stability and growth in the economy.
An Analysis of Language Style in Little Buddha Movie
Authors: Swantara Made , Suastini Ni Wayan , Santika I Dewa Ayu Devi Maharani
Published: April 2024

This study focused on the use of language style in the movie "Little Buddha" which shows how language style is used in society. There are two problems to be solved in the study, the types of language styles used on a conversation in the "Little Buddha" movie, and the factor influencing the choice of language style in the "Little Buddha" movie. This study's theoretical framework is based on Joos (1967) states there are five types of language style, namely frozen style, formal style, consultative style, casual style, intimate style, and Holmes (1992) There are four factors in choosing language variation that is participant, setting, topic, and function. The results of this study that there are 25 data of the type of language styles and elaborate factors influencing the choice of language style which is occurred in "Little Buddha" movie and intimate style becomes the most dominant type.
Analysis of Language Style Uttered by the Characters in Premature Movie
Authors: Putra I Made Pande Yoga , Santika I Dewa Ayu Devi Maharani , Skolastika I Made Perdana
Published: April 2024

Spoken language will always involve language style. This depends on the situation in which the conversation is taking place, and also the participants. This study was conducted to see the language style of the conversations in Premature movie. The data were analyzed by using qualitative method. The data analyzed based on the theory of language style proposed by Joos (1967), and it combined with the theory of function of language proposed by Holmes (1992). The data were taken from the conversation that uttered by the characters in Premature movie. Based on the analysis there are 19 data that found in the data source, there are four types of language style and six types of language function were found. The four language styles are four types of language style which are, formal style, consultative style, casual style, and intimate style. Casual style is the most dominant type in this movie. The six function of language that found by the researcher which are expressive function, directive function, referential function, metalinguistic function, poetic function, and phatic function. The most function of language occurred in the data analysis is directive function.