bluuebunny/crossref_metadata_2025 huggingface dataset:
IMMUNOHISTOCHEMICAL EVALUATION OF ALPHA-METHYL ACYL CO-A RACEMASE EXPRESSION IN GASTRIC BIOPSIES AND RESECTED SPECIMEN WITH HISTOPATHOLOGICAL CORRELATION
Authors: Mirunalini K.A.T. , Valarmathi K. , Jaswanthini A.R. , Kiruthika N.
Published: May 2022

The third most common cause of cancer associated deaths worldwide is due to gastric cancer. Finding
specic targets for neoadjuvant therapy is essential which will lead to better survival of the patients.
Various molecular pathways are involved in gastric cancer pathogenesis. Of these pathways , deregulation of PI3K/AKT/mTOR
pathway plays an important role in cell growth, cell proliferation and metabolism. The mTOR is activated by multiple growth
factors including IGF-1R, EGFR and HER2. mTOR is regulated by activation of various molecules one of which isalpha methyl
acyl coA racemase (AMACR).
This alpha methyl acyl coA racemase can be tried as a molecular target as it is involved in one of the molecular pathways
needed for gastric carcinoma development.
A STUDY TO ASSESS THE EFFECT OF A PLANNED TEACHING PROGRAMME (PTP) ON KNOWLEDGE REGARDING INTERNET ADDICTION AND ITS CONSEQUENCES AMONG PRE-ADOLESCENTS STUDYING IN SELECTED SCHOOLS IN ERNAKULAM DISTRICT, KERALA
Authors: M. A. Sini , S. D Sajeena
Published: May 2022

Children are an asset a nation. Children's early experiences
are the bonds they form with their parents and their rst
learning experiences deeply affect their future physical,
cognitive, emotional and social development. Optimizing the
early years of children's life is the best investment that a
society can make in ensuring their future success. The
technological advancement around us has happened both
quickly and imperceptibly. Computers and Internet is an
inevitable part of today's culture, especially for children and
youth, for whom schoolwork, online gaming, and social
networking are the most popular activities. The time spent with
on screen media dramatically increases from the toddler
through preschool to school-age years. However, it has also
led a lot of children to spend most of their time in front of the
computer that it becomes the essential part of their life. This
leads to a Internet or computer addiction
IMPACT OF MERGER & ACQUISITIONS ON FINANCIAL PERFORMANCE OF INDUSTRIAL CREDIT AND INVESTMENT CORPORATION OF INDIA (ICICI)
Authors: Singh Sultan , Gautam Veena
Published: May 2022

The present paper is an attempt to examine the impact of Merger & Acquisitions (M&As) on nancial
performance of industrial Credit and Investment Corporation of India (ICICI). The Bank of Rajasthan was
merged with ICICI on August 13, 2010. The analysis was done with the help of various descriptive and inferential statistical
techniques by taking a period of three years before and three years after merger using CAMEL model. The results revealed that
there is no signicant impact of merger of Bank of Rajasthan on capital adequacy, assets quality, management efciency and
liquidity of ICICI. However, a signicant positive impact on return on assets and net prots to average assets was noticed after
M&As.
IMPACT OF POST COVID PULMONARY SEQUELAE IN DECIDING RADIOLOGICAL OUTCOME: AN OBSERVATIONAL STUDY
Authors: Disawal Amit , Tiwari Shreeya , Randive Kedar , Kalra Sakshi
Published: May 2022

Background: A number of patients with COVID-19 pneumonia were discharged from hospitals in
central India.This study highlights the relevant affecting factors, and to describe the chest CT ndings
and sequelae during follow up.
Aims And Objectives: our aim was to determine the cumulative percentage of complete radiological resolution at the time of
active disease and at follow up after discharge ,highlight the predominant ndings in follow-up post covid CT and to correlate
CTSS and the type of lung parenchymal opacity with chances of radiological resolution.
Methods: Patients with COVID-19 pneumonia conrmed by RT-PCR who were discharged consecutively from the hospital
between September 2020 and November 2020 and who underwent serial chest CT scans on their visit to post COVID OPD were
enrolled in a retrospective observational study. The radiological characteristics of all patients were collected, analyzed and the
total CT score was calculated. Imaging features and distributions were analyzed across different time points.
Results: A total of 385 patients were evaluated; there were 286 (74.2%) men and 99 (28.7%) women, with a median age of 43
years old (IQR 36–56). Complete radiological resolution was seen in 74(19%) patients on follow up CT, while 49(12.7%) patients
showed normal chest CT during active disease. Patients ≤40 years old showed a slightly higher cumulative percentage of
complete radiological resolution than patients > 40 years old at the follow-up CT. The predominant patterns of abnormalities
observed during the active disease were ground-glass opacity (GGO) (321 [83.3%]), consolidation (283 [73.5%]), and subpleural atelectatic brotic bands (235 [61%]). While on follow up scan, the positive count of GGO and consolidations gradually
decreased, few brotic bands remained in almost all 235 patients who showed brotic changes earlier.
Conclusion: Most of the lung lesions in COVID-19 pneumonia patients can be absorbed completely during short-term followup with sequelae of subcentimetric pleural atelectatic brotic bands only. The optimal time point for early radiological
estimation might be three to four weeks after discharge.
STUDY OF HEMATOLOGICAL MANIFESTATIONS IN COVID-19 INFECTED PATIENTS AND THEIR OUTCOME-OBSERVATIONAL RETROSPECTIVE LONGITUDANAL STUDY
Authors: Jaligidad Kadappa , P Channabasav
Published: May 2022

Background COVID-19 is an ongoing global pandemic. Changes in haematological characteristics in
patients with COVID-19 are emerging as important features of the disease. We aimed to explore the
haematological characteristics and related risk outcome in patients with COVID-19. 1.To stud Objectives: y haematological
manifestations in patients withCOVID-19 infected patients. 2.To study the severity of covid 19 infection with respect to
thrombocytopenia. Observational retrospective longitudinal study done on patients admitted to Materials and methods:
general medicine department of S Nijalingappa Medical College and HSK hospital, Bagalkot, Karnataka. Patients with
COVID-19 Pneumonia are included in the study after meeting inclusion and exclusion criteria Data from Results: 96 patients
admitted to hospital with conrmed COVID-19 were analysed in our study .The patients with severe and critical disease were
older than those with moderate disease. Women had more severe disease than men. Of the haematological parameters
neutrophil count, lymphocyte count, neutrophil to lymphocyte ratio(NLN ) and platelet count were signicantly different across
all comparisons. Counts of platelets were signicantly lower in patients with severe disease.(p<0·0001). In the present study
majority of the patients have NLN ratio >3.5(59.4%).Death have occurred more in patients with >3.5 NLN ratio i,e; 52% in
patients with NLN ratio >3.5. In the present study most of the patients have platelets between 1.5lakh to 2 lakh.But the mortality
is more in between 50,000-1,00,000 platelet i,e; 32.4%. The study of haematolog Conclusion: ical parameters mainly
thrombocytopenia and NLN ratio helps in assessing the severity of disease and the outcome. An early diagnosis and
recognition of severe COVID-19 infection with these parameters helps in preventing future mortality and helps in the proper
management of the disease.
SPORADIC SUPRATENTORIAL HEMANGIOBLASTOMA WITH SUB EPENDYMAL EXTENSION: A CASE REPORT
Authors: Barooah Rajesh Kumar , Jeet Deka Nayan
Published: May 2022

Objective: To report a rare case of supratentorial hemangioblastoma, its management and outcome.
Background: A 23 year old female presented with progressively increasing headache for last 4 months.
Clinical examination revealed hemiparesis on right side of the body with bilateral grade 2 papilledema. Patients' blood
parameters and other investigation did not suggested vhl disease. Hemangioblastoma is a hi Conclusion: stologically benign
tumor that most commonly occurs in the cerebellum. Extracerebellar location is rare. Since it's a benign lesion surgical cure is
possible only with complete excision of the mural nodule.
TRANSVERSE MYELITIS DUE TO TUBERCULOSIS: CASE REPORT WITH NARRATIVE REVIEW
Authors: Alvarado Sepuĺveda Jorge Luis , Rengifo Mateo Saénz , Martinez Gallardo David Esteban , Gil Gil Jorge Luis
Published: May 2022

Tuberculosis is a global public health problem, which continues to increase morbidity and mortality
around the world. The infectious agent is the well-known Koch bacillus, Mycobacterium tuberculosis
complex, discovered in 1882 by Robert Koch. Tuberculosis in the central nervous system with spinal cord involvement is a rare
event. It is believed that the medullar infection is due to the contiguity of a bone infection at the vertebral level. The initial
symptoms of spinal cord infection are due to the motor and sensory compromise of the compromised spinal cord level. Infection
in the central nervous system occurs mainly due to the presentation of meningitis and intramedullary tuberculosis in HIV-positive
patients, which is considered to represent only 2% of the cases of tuberculosis of the central nervous system. We present a case of
spinal cord involvement due to tuberculosis.
TO STUDY THE EFFECT OF BODY POSITIONS ON OXYGEN SATURATION AND PEFR IN POST CORONARY ARTERY BYPASS GRAFT PATIENTS
Authors: Jain Shreya , Pawar Rajni
Published: May 2022

CABG is the most common type of heart surgery. Reduced pulmonary functions and oxygen saturation are common postoperative complications. Body positions tends to show effect on peak expiratory ow rate and oxygen saturation .so, in
this study we have observed effects of different body positions in values of PEFR and oxygen saturation for better recovery from post-operative
complications. Objective was to evaluate the differences in values of PEFR and oxygen saturation in different body positions (supine, erect
sitting, three quarter sitting, standing). Method: the study design was observational cross-sectional study. 30 subjects of age group 40-70 years
were selected through random sampling technique. PEFR and oxygen saturation values were checked on post-operative day 3.subjects were
allocated each position for 15 min and then values were recorded. the study results Results: indicated that standing position shows highest PEFR
value (340.67 liters/min) and best oxygen saturation (97.53), supine position shows lowest PEFR value (183.00 liters/min) and lowest oxygen
saturation (93.43). Difference in between the body positions three quarter sitting, sitting and supine were signicant (p<0.005) when compared
with standing. The study concluded that standing position leads to highest PEFR a Conclusion: nd oxygen saturation value and supine position
leads to lowest value of PEFR and oxygen saturation. So standing should be considered as best therapeutic position.
COMPARATIVE STUDY OF CASE BASED LEARNING WITH TRADITIONAL TEACHING METHODS IN BIOCHEMISTRY FOR FIRST YEAR MEDICAL STUDENTS
Authors: Mahajan Ruhi , Sharma Priyanka , Gupta Rishabh
Published: May 2022

Background: Case based learning (CBL), is a learning method aids learner to reorganize, elaborate their information and provide connection between current and new information. Moreover CBL is student centered, taken in small groups where teacher acts as facilitator or guide. This study was planned to perceive the need for initiating CBL, this study aimed to compare the biochemistry teaching among rst year medical students with that of traditional teaching. Methods This is an observational study conducted from August 2021 to December 2021. This research study was conducted on 99 students of First year MBBS students. Ten ideal case scenarios on the topic of protein energy malnutrition(PEM) in children and acid base balance were prepared, and pre validated by the faculty of Biochemistry, Paediatrics and Surgery medical education department in our institution. CBL was introduced and total three sessions were conducted and compared with traditional teaching. Results The mean (±SD) value of the score of gain in knowledge was 3.90±1.86 (n=99) for the batch of students who attended case based learning while the mean (±SD) gain in knowledge for the batch who underwent, traditional learning ( TL) was 2.60±2.29 (n=99). A paired t-test comparing didactic lectures with self-directed learning showed that the scores following didactic lectures were more compared to SDL and the results were statistically signicant. An unpaired t-test comparing case based learning to SDL also showed statistically signicant gain in knowledge following didactic lectures. Conclusion This study clearly showed that CBL is more effective over traditional teaching for our rst year MBBS students and for covering a wider area.
Computer Vision Techniques in Manufacturing
Authors: Zhou Longfei , Zhang Lin , Konz Nicholas
Published: May 2022

Computer vision techniques have played an important role in promoting the informatization, digitization and intelligence of industrial manufacturing systems. Considering the rapid development of computer vision techniques, we present a comprehensive review of the state-of-the-art of these techniques and their applications in manufacturing industries. We survey the most common methods, including feature detection, recognition, segmentation and 3D modeling. A system framework of computer vision in the manufacturing environment is proposed, consisting of a lighting module, a manufacturing system, a sensing module, computer vision algorithms, a decision-making module, and an actuator. Applications of computer vision to different stages of the entire product life cycle are then explored, including product design, modeling and simulation, planning and scheduling, the production process, inspection and quality control, assembly, transportation, and disassembly. Challenges include algorithm implementation, data pre-processing, data labeling, and benchmarks. Future directions include building benchmarks, developing methods for non-annotated data processing, developing effective data pre-processing mechanisms, customizing computer vision models, and opportunities aroused by 5G.
MMC-Net: Multi-modal network for cardiac MRI segmentation of ventricular structures, and myocardium
Authors: Chowdary G. Jignesh , Yogarajah Pratheepan , Chaurasia Priyanka
Published: May 2022

Automatic segmentation of multi-modal Cardiac Magnetic Resonance Imaging (CMRI) scans is challenging due to the variant intensity distribution and unclear boundaries between the neighbouring tissues and other organs. The deep convolutional neural networks have shown great potential in medical image segmentation tasks. In this paper, we present a deep convolutional neural network model named Multi-Modal Cardiac Network (MMC-Net) for segmenting three cardiac structures namely right ventricle (RV), left ventricle (LV), and left ventricular myocardium (LVM) from multi-modal CMRI’s. The proposed MMC-Net is designed using a densely connected backbone enabling feature reuse, an atrous convolution module for fusing multi-scale features, and a pixel-classification module for generating the segmentation result. This model was evaluated on a publicly available MS-CMRSeg-2019 challenge dataset in segmentation of RV, LV, and LVM from CMRI scans. The segmentation results from extensive experiments demonstrate our MMC-Net can achieve better segmentation performance compared to other state-of-the-art models, and the existing approaches. Additionally, the generalization ability of the proposed MMC-Net is validated on another publicly available ACDC dataset without fine-tuning. The results demonstrate that the proposed MMC-Net shows a powerful generalisation ability of segmenting RV, LV, and LVM with higher performance.
A Compact Cavity-backed Multiband Dual-polarized Antenna for 5G NR FR2 TN/NTN Mobile Communications
Authors: Basavarajappa Vedaprabhu , Gao Yue , Ying Zhinong , Xu Zhuoao , Fernandez Ryan , Yao Shu Feng , Zhang Xiu Yin
Published: May 2022

As a solution to the quest of compact antennas that occupy a wider bandwidth in the 5G NR FR2 bands while simultaneously providing dual-polarization and high port-to-port isolation, the paper presents an antenna that serves this purpose. The antenna is a multilayer structure with V slots provided in the bottom and top layer to accommodate the bandwidth of 5G NR FR2 from 26 GHz to 40 GHz. The bottom V slot is responsible for the lower resonance and a cavity supports the top V slot for the upper resonance. These two resonances can be controlled independently to provide multiple wide band operation. The 2x2 antenna has both vertical and horizontal polarization. The port-to-port isolation of the antenna is also better than 25 dB throughout the band. The antenna occupies a size of 13.8mm x 13.8mm making it relatively compact. It has been designed and simulated in CST Studio for performance and then has been fabricated. The simulated results agree well with the measurement results. The antenna can find potential application in the 5G NR FR2 28/38 GHz enabled user equipment such as 5G enabled cell phones and in applications of Terrestrial Networks (TN) and Non-Terrestrial (NTN) mobile networks. 
Autonomous clustering by fast find of mass and distance peaks
Authors: Yang Jie , Lin Chin-Teng
Published: May 2022

Clustering is a fundamental tool of scientific analysis, ubiquitous in disciplines from biology and chemistry to astronomy and pattern recognition. We propose a novel clustering algorithm based on the natural idea that a cluster and its nearest neighbor with higher mass should be merged into one cluster, unless they both have relatively large masses and the distance between them is also relatively large. The find of mass and distance peaks reveals the mergers that don’t conform to the rule and should be removed. The algorithm is parameter-free and harnesses this idea to recognize any cluster and find the proper number of clusters and noise autonomously. Experiments on numerous synthetic and real-world data sets show the enormous versatility of the proposed algorithm that remarkably outperforms the best compared algorithm. Additionally, we also compare it with latest state-of-the-art deep clustering algorithms on several challenging image data sets. The proposed algorithm without any deep representation achieves better or close performance than deep clustering algorithms on image clustering. 
Measuring Array Mutual Impedances Using Embedded Element Patterns
Authors: Buck David , Warnick Karl , Maaskant Robert , Davidson David , Kelley Dave
Published: May 2022

Antenna array mutual impedances are measured from embedded element patterns. To do this practically, additional relationships are developed for Thevenin-driven embedded element patterns where the driven element has a different source impedance from the non-driven elements.
Variable-Delay and Data-Drop Compensation in Data-Driven based Wide-Area Damping Control
Authors: Nayak Abhishek , Mishra Sukumar
Published: May 2022

This paper presents a delay and a data-drop compensator to address the variable latencies which arise in a wide area damping controller (WADC). The vulnerability of data-driven control (DDC) based WADC to these latencies is specifically highlighted. The uniqueness of the proposed delay compensator is that it is designed to address not only the large deviations in delay mean value but also the variations around the mean value. This is achieved by reformulating the delay in terms of its mean value and distribution around the mean value. Further, a new approach is followed for data-drop compensation, in which the nonlinearity in power systems is considered. The proposed data-drop compensation uses the technique of dynamic linearization (DL) and pseudo partial derivative (PPD). Rigorous analysis has been carried out to observe the effect of variable delay and data-drop on the damping performance of DDCWADC. It is shown that the damping performance of DDCWADC improves when the proposed compensation techniques are used. Further, the proposed delay compensator and the nonlinear system based data-drop compensator achieves improved compensation than the customary ones.
Evaluación de la calidad del agua subterránea durante la pandemia por covid-19 en la universidad nacional de trujillo, Perú
Authors: Castillo Vereau Dolores Esmilda , Tuesta Collantes Lurdes , Salazar Saldaña Seiri Eric
Published: May 2022

Durante la Cumbre sobre Desarrollo Sostenible se aprobó la Agenda 2030, contentiva de 17 objetivos para ser aplicados universalmente y direccionan los esfuerzos destinados por los distintos países para alcanzar un ambiente sostenible; específicamente, el objetivo No. 6 garantiza la disponibilidad de agua purificada sin impurezas y de fácil acceso para todos. Por lo cual, el presente artículo busca analizar la evaluación de la calidad del agua subterránea durante la pandemia por Covid-19 en la Universidad Nacional de Trujillo. Dado que dicha pandemia ha originado cambios importantes en las características de los ecosistemas y medio ambiente. La metodología fue de carácter descriptiva, exploratoria, de campo, transversal. Basada en los postulados de: DIGESA (2011), OMS (2006), Galdos-Balzategui, et al (2017), entre otros. Para el estudio fueron utilizados los parámetros físico-químicos y microbiológicos de control, el multiparámetro HANNA modelo HI 9829, se tomaron dos muestras semestrales durante el año 2020 y dos repeticiones en dos pozos de agua y un baño. Dichos análisis fueron realizados en los laboratorios de la Facultad de Ciencia Biológicas, cuyos resultados fueron comparados con las normas vigentes, indicando que el agua utilizada para consumo humano, en los parámetros de olor y sabor, en las tres estaciones, presentan valores aceptables; sin embargo, el agua del pozo de almacenamiento central, no reúne las condiciones microbiológicas de salubridad y representa para la salud de las personas un riesgo. Se recomienda implementar políticas de control y monitoreo de la calidad del agua en la Universidad Nacional de Trujillo.
Estrategia sistémica para conformar colectivos colaborativos inter-transdisciplinarios: conocimiento al servicio de la sociedad
Authors: Vargas-Madrazo Enrique , Ruiz Cervantes E. Eduardo , Houbron Eric , Rojas-Molina Joaquín , Pineda-López María del Rosario , Sánchez-Velásquez Lázaro R.
Published: May 2022

El presente texto plantea una metodología de re-aprendizaje e incubación de Colectivos Colaborativos Inter-Transdisciplinarios en las instituciones de educación superior, que permita atender las urgentes necesidades frente a las complejas problemáticas socioambientales del siglo XXI. Mediante la metodología de investigación-acción participativa transdisciplinaria, se reportan los resultados de investigación de más de seis años de trabajo colectivo académico. Las universidades, como instituciones generadoras de conocimiento, se encuentran cada día más obligadas a incidir en la restauración de nuestra caótica humanidad y de la naturaleza en lo general. Cada día las realidades presentan situaciones (problemáticas y paradojas) más difíciles de abordar con enfoques reduccionistas, lineales y con prácticas individuales y unidisciplinarias. Se torna relevante y urgente, constituir acciones basadas en nuevos paradigmas, con lógicas de pensamiento y acción que sean capaces de generar escenarios de empatía, basados en enfoques inter-transdisciplinarios. En este sentido, lo que aquí presentado es una experiencia de generación del conocimiento dentro del ámbito educativo universitario. Surge del trabajo colaborativo que ha venido generando el colectivo académico que escribe este artículo de diferentes áreas del conocimiento de la Universidad Veracruzana, a partir de la construcción de sinergias desde el diálogo inter y transdisciplinario. La presente propuesta pretende ser un instrumento que paso a paso guíe la conformación de grupos de académicos y/o estudiantes y puedan transitar hacia la investigación colaborativa inter-transdisciplinaria. De esta manera se podrán abordar situaciones con un enfoque más integral, y dar respuestas considerando las totalidades entramadas, complejas, transversales y sustentablemente humanas.
Peranan BP4 dalam Meminimalisasi Perceraian di Masa Pandemi Covid-19 di Kantor Urusan Agama Kecamatan Banua Lawas
Authors: Yuliani Rina , Hidayah Ahdiyatul , Fahmi Muhammad
Published: May 2022

Penelitian ini dilatarbelakangi adanya dampak dari pandemi Covid-19 yang memengaruhi segala sendi kehidupan masyarakat termasuk di dalamnya kehidupan rumah tangga. Timbulnya berbagai permasalahan di dalam rumah tangga yang tidak menutup kemungkinan terjadinya perceraian. Oleh karena itu, peran Badan Penasihatan Pembinaan dan Pelestarian Perkawinan (BP4) di masa pandemi Covid-19 sangat penting untuk mengurangi terjadinya perceraian dengan melakukan penyuluhan atau sosialisasi kepada masyarakat. Penelitian ini bertujuan untuk mengetahui peranan Badan Penasihatan Pembinaan dan Pelestarian Perkawinan (BP4) dalam meminimalisasi terjadinya perceraian di masa pandemi Covid-19 di Kantor Urusan Agama Kecamatan Banua Lawas dan faktor-faktor yang menyebabkan terjadinya perceraian di masa pandemi Covid-19 di Kecamatan Banua Lawas. Penelitian ini menggunakan metode pendekatan kualitatif dengan jenis penelitian field research. Sedangkan data yang dikumpulkan berupa data primer dan sekunder, data yang diperoleh menggunakan teknik wawancara langsung, observasi lapangan dan dokumentasi. Berdasarkan hasil penelitian ini menunjukkan bahwa terdapat beberapa peranan BP4 dalam meminimalisasi perceraian yaitu menyelenggarakan kursus calon pengantin, mengembangkan pembinaan keluarga sakinah, memberikan pendidikan pra nikah. Badan Penasihatan Pembinaan dan Pelestarian Perkawinan (BP4) juga berperan dalam hal konsultasi, mediasi dan advokasi perkawinan dalam upaya untuk meminimalisasi terjadinya perceraian di Kantor Urusan Agama Kecamatan Banua Lawas. Pada umumnya perceraian di Kecamatan Banua Lawas di masa pandemi Covid-19 dikarenakan faktor-faktor tertentu seperti masalah ekonomi yang tidak stabil, adanya orang ketiga, kurangnya komunikasi dan adanya kekerasan dalam rumah tangga yang mendorong pasangan suami istri berselisih.
Eficiência das dimensões dos procesos building information modeling no ciclo de vida das edificações
Authors: da Silva Gediel , Balz Andréia , Claro Pedrozo Éder
Published: May 2022

O setor daconstruçãocivil,em decorrênciadas transformações domundoglobalizado edosavançosdatecnologia da informação,está passandoporumperíododetransiçãoquantoàs metodologiasempregadas nas diferentes fases deprojeto, execuçãoe operação. Atrelado a isso, surge a tecnologia BuildingInformationModeling, possibilitando a concepçãode projetosarquitetônicos edeengenharia mais complexos. Ademais, baseado na interoperabilidadeinterdisciplinar, traz benefíciosdiretos à qualidade e aodesempenho dos empreendimentos. Neste estudo, buscou-seanalisara eficiência proporcionada pelas diferentes dimensões dos processos BIM no ciclo de vidadas edificações,abordandosuas definições e complementando a pesquisa através da realizaçãodeuma análise de campoa respeitodaimplementaçãoda tecnologiaem pequenas empresas dosetor construtivo. Constatou-se que,o processodetransição ainda apresenta algumas barreiras, comoa falta de conhecimento dosprofissionais da área,a demanda de investimentosrelativamente altos,alémdanecessidade de romperpadrõesculturais eparadigmas. Noentanto, asempresas estudadasassumemque é inegável queo modelode projetos integrados oferece inúmeros benefícios para todo o processo deconstrução de edificações e até mesmoapósa finalização destas, ouseja,as informações armazenadas contribuem paraa integridade dos empreendimentos durante todo o seu ciclo de vida.
Estudo do Comportamento dos Concretos em Situações de Incêndio
Authors: Schein Débora Maria , Wagner Rafaela , Santos Santa Maria Caroline , Seidler Nelson
Published: May 2022

O concreto, quando submetido a situações de incêndio, sofre comprometimentos de suas propriedades, os quais podem alcançar grandes proporções e até mesmo resultar no colapso da estrutura. Este trabalho tem como objetivo a investigação da interferência da elevação da temperatura nas propriedades do concreto. Para tanto, foram preparados traços experimentais de acordo com a metodologia de dosagem de Paulo Helene e Terzian, com o traço 1:5 de cimento e agregados. Desta forma, foram moldados 30 corpos de prova para tipo de cimento estudado, sendo 6 deles como referência, 12 submetidos a temperatura de 300°C e 12 a temperatura de 500°C. Os mesmos foram submetidos ao resfriamento rápido e ao resfriamento lento, usuais em intervenções de combate a incêndios. Os cimentos utilizados foram o CP-II- 32 F, CP-IV, CP-V ARI. As amostras foram ensaiadas em relação resistência compressão e resistência tração por compressão diametral e, de maneira geral, as maiores perdas de resistências foram observadas nos corpos de prova submetidos a temperatura de 500°C e resfriados rapidamente. Além disso, em relação ao resfriamento o CP-IV foi o que menos sofreu alterações, porém em relação temperatura sofreu as maiores variações dentre os cimentos estudados.
Determinación de las Emisiones de la Producción de Cemento Aplicando Criterios de “Producciones más Limpias”
Authors: Miño Valdés Juan Esteban , Benítez Cortés Isnel , Rodríguez Gregorich Alicia
Published: May 2022

Este trabajo se realizó en la fábrica 26 de julio de Nuevitas, Cuba, con el objetivo de determinar las principales fuentes de emisiones de residuales durante la elaboración de cemento Portland, aplicando los criteríos de producciones más limpias. Se realizaron los balances de masa en las etapas del proceso de elaboración: extracción y transportación de materias primas, trituración, molienda, horneado y empaque. Se calcularon las principales pérdidas de materiales en las operaciones unitarias a lo largo de la elaboración, para luego determinar las fuentes de emisiones. Se enumeraron los riesgos ambientales generados por las emisiones.
El pensamiento estratégico: una construcción a partir de capacidades – Enfoque en pequeñas empresas de manufactura
Authors: Mantulak Mario Jose , Hernández Pérez Gilberto D.
Published: May 2022

El desarrollo del pensamiento estratégico en los empresarios que gestionan pequeñas empresas manufactureras requiere de la identiﬁcación de determinadas capacidades personales que lo fortalezcan, con el propósito de mejorar el desempeño productivo y la competitividad de sus empresas. Como objetivos se plantean el diseño de un procedimiento para la valoración de capacidades que dinamizan el pensamiento estratégico de los empresarios y su implementación en una pequeña empresa de manufactura de la provincia de Misiones, Argentina. Entre los principales resultados se destacan la construcción de un instrumental metodológico que posibilita la valoración de las capacidades que aportan al pensamiento estratégico y posibilita la identiﬁcación de líneas estratégicas de desarrollo para la empresa, así como la aplicación del instrumento en una pequeña empresa de aserrado que contribuyó a mejorar el proceso de análisis estratégico del emprendimiento e identiﬁcar en el empresario un conjunto de capacidades que vigorizan su pensamiento estratégico, tales como la resiliencia, la intuición, la perspectiva integradora y la reﬂexión, comprobándose así, la viabilidad, pertinencia y apropiación del instrumento metodológico diseñado para el segmento de pequeñas empresas de manufactura.
Reading Abilities of Learners in Public Primary Schools in Nandi County, Kenya
Authors: Cherobon Vicky , Atoni Rose
Published: May 2022

Reading is fundamental in the acquisition of language. It builds up an important foundation for the acquisition of other language skills and plays a vital role in the learning of other subjects. There is therefore a need for learners to acquire reading proficiency. The study sought to find out the reading abilities of learners in public primary schools in Nandi County, Kenya. The study’s research question was what are the reading abilities of learners in public primary schools in Nandi County, Kenya? The study sought to test the following hypotheses; There is no significant relationship between the gender of the learner and the reading ability of the learner in public primary schools in Nandi County, Kenya, and there is no significant relationship between the category of the school (rural or urban) and the reading abilities of learners in public primary schools in Nandi County, Kenya. The study adopted a causal-comparative research design with data being collected from a sample size of 200 class six and seven learners in public primary schools in Nandi County. Data was collected using a pupils’ reading test and an observation schedule. Stratified and simple random sampling was utilised as the sampling technique, and a comparison was drawn between the reading abilities of learners in rural public primary schools and those of urban public primary schools. A further comparison was drawn between the reading abilities of boys and those of girls. The study found that learners from urban primary schools performed better than those from rural public primary schools in Nandi County. The study further found out that boys performed slightly better than girls in reading.
Influence of Tusome Early Grade Reading Intervention on the Reading Abilities of Learners in Public Primary Schools in Nandi County, Kenya
Authors: Cherobon Vicky , Chepsiror Esther
Published: May 2022

Early Grade Reading Interventions have been introduced in several countries both developed and developing in a bid to respond to low educational outcomes. Interventions seek to improve certain skills that learners have not sufficiently acquired. Therefore, the provision of learners with an early start in reading is highly associated with developed reading skills in the long term. The study sought to find out the influence Tusome, an Early grade reading intervention, had on the reading abilities of learners in public primary schools in Nandi County, Kenya. The study’s research question was what was the influence of Tusome Early grade reading intervention on learners reading abilities in public primary schools in Nandi County, Kenya. The study was grounded on Marie Clays’ literacy processing theory of reading. The study adopted a causal-comparative research design with data being collected from a sample size of 200 class six and seven learners in public primary schools in Nandi County. Sampling was done using stratified and simple random sampling techniques. A pupil’s reading test and an observation schedule were used as the instruments of data collection. A comparison was made between class six, who underwent Tusome and Class Seven who did not undergo Tusome. The study found out that class six who underwent Tusome performed better than class seven who did not undergo the intervention.
Socio-Economic Factors Associated with Anaemia Management among Children under Five in Kisumu County Hospital, Kenya
Authors: Oluoch Fredrick O. , Mokaya Daniel , Sagwe Daniel
Published: May 2022

Background: High burden of anaemia due to high prevalence and its impacts in children's health especially in growth and development especially, makes anaemia an important public health concern. The difficulty in implementing effective measures for controlling anaemia remains a concern, World Health Organization (WHO) is implementing new strategies for the integrated management of the sick child in the primary care set ups, these includes algorithms based on clinical signs observed by health care workers. We aimed to assess the healthcare-seeking behaviour, economic, and social factors affecting anaemia management among caregivers of sick children who had severe anaemia and are five years and below in Western Kenya. Methods: Descriptive cross-sectional study design was used. Systematic random sampling was used in selection of study subjects. Data on factors associated with anaemia management in Kisumu County hospitals was collected using a structured questionnaire and clinician desk review charts. Association of factors measured using a Chi-Square test of association and odds ratio used for likelihood tests. Results: Results revealed that Anaemia factors, Number of children <5 years of age, and type of food were major determinants for anaemia management. Children fed on non-rich iron foods were less likely to practice good anaemia management as compared to those who eat iron-rich food and prone to increase likelihood of developing anaemia. Conclusions: Anaemia management in Kisumu County Hospital is satisfactory. However, there is a need to address finding gaps and as well conduct further studies on home and hospital management outcomes to inform policy.
Development and Preservation of Human Capital Under the Conditions of the Creative Economy
Authors: Kuznetsova Nataliya , Tkachuk Viacheslav , , Obikhod Svitlana , Vlasenko Tetiana , Samborska Oksana , Chorna Lyubov
Published: May 2022

The transformation of the world economy is characterized by a change of emphasis from an industrial society to a society of knowledge and intelligence. This leads to the emergence of a new segment of the economy – the creative economy, which is essentially a symbiosis of culture, art and economy and it is based on creative human capital. The purpose of the academic paper is to study the features of the process of intellectualization, the role of human capital and its creative functions in a new type of economy based on intellectual activity. The basic methods used in the present research are as follows: statistical analysis, index and analytical methods, methods for estimating structural dynamic shifts, the method of comparisons. Results. The importance of the creative economy in the development of the European countries and the role of human capital in the context of the formation of this economy sector has been updated. The essence of the category “development of human capital under the conditions of a creative economy” has been defined and its components have been specified. The features of the creative economy’s structure in the EU have been analyzed through the study of the dynamics of the number and structure of enterprises operating in the creative sphere. The number and the relative share of the population employed in the creative sector of the economy have been studied. The basic features of human capital development in European countries through the dynamics of the following indicators have been illustrated, namely: the coefficient of age dependence, life expectancy of the population, the risk of poverty, fully representing the social standards of the EU member states. In order to study the mutual interaction of the creative economy and human capital, a regression analysis has been performed. The basic components of development and preservation of human capital under the conditions of creative economy have been outlined.
Return Period for the Maximum Daily Rainfall in Eastern Highlands of Jordan Valley
Authors: Akawwi Emad , Mdanat Metri
Published: May 2022

Daily rainfall data for the last 30 years was used in the study area. Various available plotting position formulae were employed to evaluate different return periods. Different statistical analyses of maximum daily rainfall were undertaken. The best-fit curves were the Gumbel and Log-Pearson type III (3LP). As a result, the Xt for the Log-Pearson type III and the Gumbel plotting position, which has the lowest RMSE as the best fit values for the return periods.
Novos registros e checklist das espécies de Thysanoptera do Pampa Brasileiro
Authors: Cavalleri Adriano , Gonçalves Stephanie S.
Published: May 2022

We present here the first checklist of the thrips of the Brazilian Pampa, which is a grassland region with sparse shrub and tree formations. This work involved observations of specimens deposited in scientific collections and surveys carried out in South Brazil in the last two decades. We listed 128 named species of Thysanoptera from the Pampa, with six new records from Brazil: Allothrips megacephalus megacephalus Hood, 1908; Aneristothrips rostratus De Santis, 1957; Compsothrips hoodi (De Santis, 1958); Holopothrips urinator De Santis, 1957; Rhinoceps jansei Faure, 1949 and Treherniella atrata De Santis, 1963.
LEARNING TECHNIQUES TO TRANSFER FROM THE WAIST TO THE PAINING METHOD IN SKILLED GIRLS
Authors:   Lecturer At The Department Of Combat And Physical Training Academy Of The Ministry Of Internal Affairs Of The Republic Of Uzbekistan, ruzmetovna Davletovanilufar
Published: May 2022

The fact that after the independence of Uzbekistan, the attention paid to the sport of sambo today is more important than in previous days, as evidenced by the honorable places of our athletes in the World and Asian competitions.
Discovering trends of social interaction behavior over time: An introduction to relational event modeling
Authors: Meijerink-Bosman Marlyne , Back Mitja , Geukes Katharina , Leenders Roger , Mulder Joris
Published: May 2022

Real-life social interactions occur in continuous time and are driven by complex mechanisms. Each interaction is not only affected by the characteristics of individuals or the environmental context but also by the history of interactions. The relational event framework provides a flexible approach to studying the mechanisms that drive how a sequence of social interactions evolves over time. This paper presents an introduction of this new statistical framework and two of its extensions for psychological researchers. The relational event framework is illustrated with an exemplary study on social interactions between freshmen students at the start of their new studies. We show how the framework can be used to study: (a) which predictors are important drivers of social interactions between freshmen students who start interacting at zero acquaintance; (b) how the effects of predictors change over time as acquaintance increases; and (c) the dynamics between the different settings in which students interact. Findings show that patterns of interaction developed early in the freshmen student network and remained relatively stable over time. Furthermore, clusters of interacting students formed quickly, and predominantly within a specific setting for interaction. Extraversion predicted rates of social interaction, and this effect was particularly pronounced on the weekends. These results illustrate how the relational event framework and its extensions can lead to new insights on social interactions and how they are affected both by the interacting individuals and the dynamic social environment.
Guía de citado y referenciación. Normas APA, 7.a edición
Authors:   Universidad Norbert Wiener, Rivera Lozada Oriana , Yangali Vicente Judith Soledad ,   Universidad Norbert Wiener, Bonilla Asalde César Antonio
Published: May 2022

Las normas APA son el sistema de citado y referencia más utilizado en las ciencias humanas, sociales, educación y derecho. Esto se debe a la precisión y economía del sistema en textos que, por su naturaleza teórica y metodológica, tienden a ser extensos y a requerir una amplia revisión bibliográfica por parte del investigador. Así, el uso de este sistema es parte de una sólida y necesaria formación académica para investigadores vinculados al ámbito de las letras y estudios teóricos.
DETECTING UNAUTHORIZED OR FRAUD PROFILES USING ARTIFICIAL NEURAL NETWORKS
Authors:   Assistant Professor in Sreyas Institute of Engineering and Technology, JNTUH, India., SWAMY Mr K.K , MEGHANA REDDY B ,   Sreyas Institute of Engineering and Technology, JNTUH, India., SAI CHAITANYA K ,   Sreyas Institute of Engineering and Technology, JNTUH, India., HARINI M ,   Sreyas Institute of Engineering and Technology, JNTUH, India., MEHER PRANEETH T ,   Sreyas Institute of Engineering and Technology, JNTUH, India.
Published: May 2022

In moment's digital age, the ever- adding reliance on computer technology has left the average citizen vulnerable to crimes similar as data breaches and possible identity theft. These attacks can do without notice and frequently without announcement to the victims of a data breach. At this time, there's little provocation for social networks to ameliorate their data security. These breaches frequently target social media networks similar as Face book, Twitter, Instagram and many other platforms. They can also target banks and other fiscal institutions. Vicious users’ produce fake accounts to phish login information from unknowing users. A fake profile will shoot friend requests to numerous users’ with public profiles. These fraud account users bait unknowing genuine users with film land of people that are considered seductive. Once the person accepts the request, the fake user of the phony profile will spam friend requests to anyone this person is a friend. Then, by using Artificial Neural Networks (ANN) we're relating whether given account details are from genuine or fake users’. ANN algorithm will be trained with all former users’ fake and genuine account data and also whenever we gave a new test data then that ANN train model will be applied on new test data to identify whether given new account details are from genuine or fake accounts. Online social networks similar as Face book or Twitter contain users’ details and some vicious users’ will hack social network database to steal or transgress genuine user’s information, to cover users’ data we're using ANN Algorithm. To train ANN algorithm we're using below details from social networks. Age of Account, User gender, Age of user, Profile link description, Usage count, Friends or followers count, Position, Location IP address, Status.
CRIME ANALYSIS USING MACHINE LEARNING
Authors:   Associate Professor in Sreyas Institute of Engineering and Technology, JNTUH, India, Swamy Mr. K.K , PULI Mrs. SRILATHA ,   Assistant Professor in Sreyas Institute of Engineering and Technology, JNTUH, India, SWETHA S ,   Sreyas Institute of Engineering and Technology, JNTUH, India, SHARANYA B ,   Sreyas Institute of Engineering and Technology, JNTUH, India, ANUHYA A ,   Sreyas Institute of Engineering and Technology, JNTUH, India, SHREYAS J ,   Sreyas Institute of Engineering and Technology, JNTUH, India
Published: May 2022

Crimes are the significant threat to the humankind. as crimes are increasing at a rapid rate approach for identifying trends in crime. Our project can predict regions which have high probability for crime occurrence and can visualize crime prone areas by visual representation of data by bar graphs, pie charts etc. It speed up the classification of criminal activities by calculating the average accuracy rate .It uses crime data set and predicts the types of crimes in a particular area which help in Accurate results based on the predictive analysis of logistic regression. The objective would be train a model for prediction using logistic regression classification algorithm. Logistic regression used for classification problems and it is a predictive analysis algorithm based on concept of probability. Crime analysis project is a systematic approach for identifying trends in crime. .It uses crime data set and predicts the types of crimes in a particular area which help in Accurate results based on the predictive analysis of logistic regression.