bluuebunny/crossref_metadata_2025 huggingface dataset:
Similarity Measures and Their Applications in Multiple Attribute Decision-
Making Under Cubic Hesitant Environment
Authors: Belayneh Yohannes , Yong Rui , Zhang Yingying
Published: May 2022

Background:

Cubic Hesitant Fuzzy Set (CHFS) is a hybrid set that can express uncertain
and hesitancy fuzzy information simultaneously.

Objective:

In this paper, we introduced three trigonometric similarity measures (e.g., cosine, tangent,
and cotangent similarity measures) to measure the degree of similarity between the alternative
and the ideal set under the CHFS environment. Various desirable characteristics of the cubic
hesitant fuzzy set are studied. Then, we developed multiple attribute decision-making methods
based on the weighted cosine, tangent, and cotangent similarity measures of CHFSs.

Methods:

In this research, we presented the similarity measures of CHFSs based on the cosine,
tangent, and cotangent functions. Then, illustrative examples of construction project management
with CHFS information are presented to show the effectiveness and feasibility of the proposed
Multiattribute Decision-making (MADM) method under CHFS environments.

Result:

Based on the weighted similarity measures between each alternative and the ideal set,
this method provides the ranking order according to the values of their similarity measure. The
best alternatives can be easily identified from the ranking order obtained.

Conclusion:

Based on the comparison of the decision results obtained, the tangent and cotangent
similarity measures are better in similarity identification than the cosine similarity measure for
solving MADM problems under a cubic hesitant environment.
Securing Hybrid Architecture of Cloudlet Computing in 5G Networks
Enabling IoT and Mobile Wireless Devices
Authors: Sobh Tarek S. , Khalil Awad H.
Published: May 2022

Aims:

This research aims to secure and support mobile devices and IoTs enabled in WLAN and 5G Multi-Access Edge Computing (MEC) infrastructures.

Background:

Currently, wireless network access gains increasing potential in today's networks. At the same time, such ongoing wireless network access also raises the risk of network attacks. The 5G technology is expected to empower people inter-communications by integrating wireless networking technologies in all kinds of networks. Additionally, the emerging 5G technologies put forward many new requirements for RF characteristics and techniques regarding bandwidth and power issues, in addition to supporting high connectivity capacity for the emerging IP-based IoT applications.

Objective:

The objective is to provide a hybrid architecture of the proposed framework for a 5G network with cloudlet computing. The purpose that we are focusing on it is to support and monitor wireless networks under attack.

Methods:

The solution is done through a hybrid architecture. In this architecture, the cloudlet and Wi-Fi access points (AP) are integrated for providing an integrated Wi-Fi-enabled cloudlet. On the other hand, we have specified a solution for detecting unauthorized APs by using authentication and authorization techniques for securing communications among endpoint devices such as IoT devices or mobile devices, cloudlet, and the main cloud. A framework of this architecture has been developed to face the issue of securing IoT devices and mobile wireless devices.

Results:

The traffic sniffing and traffic filtering of the endpoints are done. Therefore, the required actions that define the organization's policy are applied through the permitted access list. In addition to a wireless network location, the management components use more than one authorized attribute value to generate the authorized list, such as SSID, MAC, BSSID …etc. Finally, Traffic analysis provides the user to get reports, statistics, and analysis charts of secure endpoints activities.

Conclusion:

We are focusing on one of the critical security issues of wireless networks. Namely, the issue of unauthorized access becomes more critical due to getting access to a network without subscriber permission. Moreover, the proposed solution allows managing access control permissions to allow or block access to resources for the user of a mobile device.
A State of the Art Review on User Behavioral Issues in Online Social
Networks
Authors: Patel Nidhi A. , Nanavati Nirali
Published: May 2022

Social networks are aimed at information sharing and friend-making due to the rapid
development of Online Social Networks (OSN) and the increasing number of online users. The
OSNs are also becoming an ideal platform for merchandise recommendation, opinion expression,
information diffusion, and influence generation. Different types of social network services and
users select the appropriate social network technology, services, and applications to meet their
sociability, entertainment, or information retrieval needs. User behavior involves user
interaction, access, and browsing of the OSN. The users have different roles in different groups
of social networks. Different identifications of the user may cause the user's intention to change.
The user's intention may change as a result of different identifications. In this work, we discuss
an introduction to OSN, single and multi-platform user behavior with various prediction models
and recommendations.
ANALYSIS OF RICE PRODUCTION APPROACH TO COBB DOUGLAS PRODUCTION FUNCTION IN TAMBAKDAHAN SUB-DISTRICT SUBANG DISTRICT
Authors: Saepudin Tete , Amalia Anita
Published: May 2022

Rice production is still the primary source of livelihood for rural communities in Tambakdahan Sub-district, Subang Regency. One harvest of every hectare can produce an average rice production of 8.5 to 9 tons. This study aims to determine the effect of land area ownership, use of labor, use of seeds, fertilizers, and technical irrigation (irrigation) on rice production and the Scale of business results, using the Cobb Douglas production function equation. The results of this study indicate that the three input variables have significant influence, namely; ownership of land area, fertilizers used, and technical irrigation (irrigation) on rice production, for the use of seed input, and technical irrigation (irrigation) have a positive effect, while the input of land area ownership has a negative impact. Two input variables do not have a significant effect, namely the input use of labor and seeds. The Scale of the results of the rice production business shows a decreasing scale of business results
Фрагментация ионов циклического дипептида 2,5-дикетопиперазина
Authors: Басалаев А.А. , Кузьмичев В.В. , Панов М.Н. , Петров А.В. , Смирнов О.В.
Published: May 2022

The mechanism of radiation damage to 2,5-diketopiperazine (DKP, C4H6N2O2) molecules in the gas phase upon interaction with He2+ ions with an energy Ep = 4 keV/u has been investigated. The relative cross sections of various elementary processes occurring in single collisions of DKP with ions have been measured for the first time. The channels of fragmentation processes of singly charged ions have been studied experimentally. The DFT method was used to calculate the geometry of molecules and singly charged DKP ions, as well as the energies of the main experimentally observed channels of fragmentation of these ions.
Public Policies and Programs for the Prevention and Control of Breast Cancer in Latin American Women: Scoping Review
Authors: Ramos Herrera Igor Martín , Lemus Flores María Guadalupe , Reyna Sevilla Antonio , González Castañeda Miguel Ernesto , Torres Gutiérrez Fernando Adolfo , Crocker Sagastume René Cristóbal , Robles Pastrana Juan De Dios , Vázquez Castellanos José Luis
Published: May 2022

Background

Breast cancer has positioned itself worldwide as one of the main public health problems, especially in Latin America. In some countries, several programs for the prevention and control of breast cancer in women have been developed and implemented on a permanent basis, but there are no public reports on the policies that originated such programs.

Objective

A scoping review of scientific publications that identify the type, extent, and scope of policies and programs for the prevention and control of breast cancer in Latin American women was performed, and the main results were presented in this paper.

Methods

This scoping review was carried out according to the method by Arksey and O’Malley based on 3 fundamental questions about breast cancer prevention and control policies in Latin America: their type, extent and scope, and reference framework. The search period was from 2000 to 2019, and the search was carried out in the following databases: MEDLINE (PubMed), MEDLINE (EbscoHost), CINAHL (EbscoHost), Academic Search Complete (EbscoHost), ISI Web of Science (Science Citation Index), and Scopus in English, Spanish, and Portuguese, and Scielo, Cochrane, and MEDES-MEDicina in Spanish and Portuguese. Of the 743 studies found, 20 (2.7%) were selected, which were analyzed using descriptive statistics and qualitative content analysis.

Results

The selected studies identified several Latin American countries that have generated policies and programs to prevent and control breast cancer in women, focusing mainly on risk communication, prevention and timely detection, effective access to health services, improvement of the screening process, and evaluation of screening programs. Evaluation criteria and greater participation of civil society in policy design and program execution are still lacking. This could undoubtedly help eliminate existing barriers to effective action.

Conclusions

Although several Latin American countries have generated public policies and action programs for the prevention and control of breast cancer, a pending issue is the evaluation of the results to analyze the effectiveness and impact of their implementation given the magnitude of the public health problem it represents and because women and civil society play an important role in its prevention and control.

International Registered Report Identifier (IRRID)

RR2-10.2196/12624
Use of Robots in Critical Care: Systematic Review
Authors: Teng Rachel , Ding Yichen , See Kay Choong
Published: May 2022

Background

The recent focus on the critical setting, especially with the COVID-19 pandemic, has highlighted the need for minimizing contact-based care and increasing robotic use. Robotics is a rising field in the context of health care, and we sought to evaluate the use of robots in critical care settings.

Objective

Although robotic presence is prevalent in the surgical setting, its role in critical care has not been well established. We aimed to examine the uses and limitations of robots for patients who are critically ill.

Methods

This systematic review was performed according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. MEDLINE, Embase, IEEE Xplore, and ACM Library were searched from their inception to December 23, 2021. Included studies involved patients requiring critical care, both in intensive care units or high-dependency units, or settings that required critical care procedures (eg, intubation and cardiopulmonary resuscitation). Randomized trials and observational studies were included.

Results

A total of 33 studies were included. The greatest application of robots in the intensive care unit was in the field of telepresence, whereby robots proved advantageous in providing a reduced response time, earlier intervention, and lower mortality rates. Challenges of telepresence included regulatory and financial barriers. In therapy and stroke rehabilitation, robots achieved superior clinical outcomes safely. Robotic use in patient evaluation and assessment was mainly through ultrasound evaluation, obtaining satisfactory to superior results with the added benefits of remote assessment, time savings, and increased efficiency. Robots in drug dispensing and delivery increased efficiency and generated cost savings. All the robots had technological limitations and hidden costs.

Conclusions

Overall, our results show that robotic use in critical care settings is a beneficial, effective, and well-received intervention that delivers significant benefits to patients, staff, and hospitals. Looking ahead, it is necessary to form strong ethical and legislative frameworks and overcome various regulatory and financial barriers.

Trial Registration

PROSPERO International Prospective Register of Systematic Reviews CRD42021234162; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=234162
Nurses’ Experiences Using an Interactive System to Assess and Manage Treatment-Related Symptoms of Patients With Pancreatic Cancer: Interview Study (Preprint)
Authors: Mangsbacka Maria , Gustavell Tina
Published: May 2022

BACKGROUND

Treatment for pancreatic cancer entails symptom distress and a high burden of self-care. Patient-reported outcomes, collected with the support of mobile health (mHealth), have shown positive effects on symptom management, patient satisfaction, and quality of life for patients with cancer. For mHealth tools to become an integral part of clinical routine, experiences from health care professionals are needed.

OBJECTIVE

The aim of this paper is to describe nurses’ experiences of integrating an interactive system (Interaktor) for symptom assessment and management into daily practice, when caring for patients following pancreaticoduodenectomy and during chemotherapy treatment due to pancreatic cancer.

METHODS

Patients reported symptoms via the Interaktor app daily for 6 months. In the event of alarming symptoms, an alert was triggered to the patient’s nurse who then called the patient to offer advice and support. All nurses (n=8) who assessed patients were interviewed either individually or in a group. Transcribed interviews were analyzed using qualitative thematic analysis.

RESULTS

mHealth can facilitate person-centered care by offering nurses a way to gain knowledge about patients and to build relationships. Further, obstacles to implementation could be seen due to a lack of structural prerequisites and uncertainty about multiple ways to interact with patients.

CONCLUSIONS

The Interaktor system can provide person-centered care. However, to implement mHealth tools as a clinical routine, focus needs to be placed on creating the necessary organizational conditions.
Wearables for measuring health effects of climate change-induced weather extremes: A scoping review (Preprint)
Authors: Koch Mara , Matzke Ina , Huhn Sophie , Gunga Hanns-Christian , Maggioni Martina Anna , Munga Stephen , Obor David , Sié Ali , Boudo Valentin , Bunker Aditi , Dambach Peter , Barteit Sandra
Published: May 2022

BACKGROUND

Individual-level data on direct exposure and health impacts are scarce in the field of climate change and health. Wearable electronic devices (wearables) have become widely accepted in various areas of health research for the so-called ecological momentary assessment.

OBJECTIVE

We conducted this scoping review to map existing research on wearables used to detect direct health impacts and individual exposure during climate change-induced weather extremes such as heatwaves or wildfires.

METHODS

We conducted a scoping review and systematically searched six databases (PubMed, IEEE Xplore, CINAHL, WoS, Scopus, Ovid) and Google Scholar. A total of 1,871 references were screened.

RESULTS

The review comprised a total of 55,284 study participants using wearables in 53 studies. Most studies were conducted in upper-middle and high-income countries (50/53; 94%) in urban environments (25/53; 47%) or in a climatic chamber (19/53; 36%) and assessed health effects of heat exposure (52/53; 98%). The majority found adverse health effects of heat exposure on sleep, physical activity, and heart rate. Remaining studies assessed occupational heat stress or compared individual and area-level heat exposure. Fourteen studies (14/53; 26%) determined that all examined wearables were valid and reliable for measuring health parameters during heat exposure when compared to standard methods.

CONCLUSIONS

Wearables have been utilized successfully in large-scale research to measure the health implications of climate change-related weather extremes. Further research is needed in low-income countries and vulnerable populations with pre-existing conditions.
Teaching Indonesian Language for Foreign Speakers through Video Conferencing during Pandemic: A Case Study
Authors: Fitriyah Ida , Andayani Andayani , Suyitno Suyitno
Published: May 2022

The Covid-19 pandemic has shifted all face-to-face learning in Indonesia to online learning. The shift has also happened in learning Indonesian for Foreign Speakers (BIPA). Online learning of BIPA, as a second language, made many teachers choose to use video conferencing. This study aimed to describe and explain the use of video conferencing, as well as the obstacles and solutions to BIPA learning at the Alam Bahasa Institute Yogyakarta during the Covid-19 pandemic. This study was qualitative research that employed a case study method at the Alam Bahasa Institute Yogyakarta. The research data were collected using documentation, interview, and observation. The data were validated using the method and source triangulation. The data were then presented using an interactive method. The results of this study revealed that students and teachers at Alam Bahasa Institute Yogyakarta used video conferencing software in conducting BIPA learning, there was an increased number of students using video conferencing, there was an expansion of the video conferencing software being used, and there were particular features of video conferencing software needed in the online learning of Indonesian for Foreign Speakers (BIPA). Meanwhile, the obstacles experienced by the students and teachers at Alam Bahasa Institute Yogyakarta were poor internet connection, power outages, and boredom. The offered solutions were to ensure the stability of the internet connection, reschedule classes affected by power outages, and provide rest time amid learning hours.
Investigación experimental en neonatología: ¿es el cerdo el mejor amigo del niño?
Authors: Sánchez Salcedo José Armando
Published: May 2022

La asfixia durante el parto continúa siendo una de las causas a nivel mundial que originan tasas elevadas de discapacidad y mortalidad en los recién nacidos. Al respecto, una de las propuestas terapéuticas para tratar esta condición es la hipotermia neonatal sola o en combinación con diversos fármacos o sustancias neuroprotectoras. Lo anterior debido a la necesidad de prevenir las posibles complicaciones de la disminución de oxígeno durante el parto; las cuales, se ha visto, ocurren en un porcentaje significativamente alto en aquellos neonatos que sobreviven al evento de asfixia. No obstante, si bien la utilización de la hipotermia ha demostrado tener resultados satisfactorios, todavía existe un número considerable de individuos que no sobreviven; por lo tanto, existe la necesidad de refinar la técnica con miras a mejorar la tasa de sobrevida y el pronóstico general de aquellos neonatos sometidos al tratamiento. Así, la utilización de modelos animales que presentan una similitud elevada con los recién nacidos humanos, como el cerdo neonato, resulta una herramienta biomédica útil para entender el mecanismo terapéutico de la hipotermia neonatal, así como para realizar experimentación con la finalidad de mejorar cada vez más los resultados obtenidos.
Face Recognition Open CV Based ATM Security System
Authors: Gujar Prof. Anil. D. , Sawant Nikita B , Hake Tejas L , Shete Aadesh A , Deshmukh Shreekar M
Published: May 2022

Abstract: The real-time face detection and recognition has been made possible by using the method of Viola jones, Analysis work. The software first taking images of all persons and stores the information into database. Proposed work deals with automated system to detect person. The methodology comprised of three phases, first face Detection from image, second get all detail of face for the purpose of feature extraction. The most useful and unique features of the camera image are extracted in the feature extraction phase. Find out all facial details are visible. This feature vector forms an efficient representation of the face. In third phase and grab our feature extraction has been created to find the person how osculated face. Keywords: Haar cascade, Automatic Teller Machine, Annaconda (Jupyter IDE), Machine learning, CNN, Feature extraction
Currency Detector System for Visually Impaired
Authors: Gupta Indresh , Kamble Sagar , Nisar Kartik , Patel Parth , Gogate Prof. Vidya
Published: May 2022

Abstract: In this modern era, many technologies have boom but still there are many problems to be deal with and one of the problems we are trying to solve is to help blind people to recognize the currency notes so as to help them avoid any fraudulent and scam by any shopkeeper or by any other means. To overcome this problem, we will build a system which will tell them the amount of the notes and a total amount that they have shown. In our system, we’ve applied Artificial Neural Network (ANNs). The classifier has Convolutional Neural Network (CNN) layers to extract features from the input image. With those features we will classify the images into 7 classes i.e., currency notes. The output will be provided with the help of a speakers that will tell the user the amount as well as the total amount they have shown to the system. Keywords: Currency, Notes, detector, ML, Machine learning, DL. Deep Learning, RaspberryPi
Maverick - Voice Assistant Using Python
Authors: Sharma Mrs. Soumya , Gupta Divyansh , Thukral Rishabh , SIngh Kuldeep , Sharma Vidhi
Published: May 2022

Abstract: Sharp and Intelligent assistance is the need critical in the mission for precisely ahead society. In such a point of view, our Virtual Personal Assistant (VPA) system is proposed. The fundamental idea is to ensure security of individual information of clients and deal exact assistance for various everyday pieces of living through an essential yet solid structure. Such a system uses plan what's more, backslide Machine Learning Algorithms to procure results and essential chatterbot structure to go probably as an optimal partner for individuals. The system targets giving assistance to travel, sports and quantifiable examination, central data from web. The raspberry pi is used for unimportant dealing with major areas of strength for and systems are proposed for extemporization of our vision. The structure contrasts from existing VPAs as it ensures absolute security for individual preferences and abhorrence amidst other huge nuances like record capabilities. Our structure uses least resources significance superb fit for monetarily smart usage. Moreover, with consistent sorting out some way to be sent, precision and organizations are near 100 percent to additionally foster manifolds. This furnishes clients with a conviction that everything is great as system is under their full oversight. Keywords: Machine Learning, Python, Speech-to-text, Virtual Assistant, Windows.
A Smart Farming and “Crop Monitoring Technology” in Agriculture Using IOT
Authors: Aryan Raj , Mishra Ankur , Kumar Sachin , Kumari Ms. Sonia
Published: May 2022

Abstract: A Smart Farming and “Crop Monitoring Technology” Using IOT in Agriculture. Agriculture is basic source of livelihood People in India. It plays major role in economy of country. But now a days due to migration of people from rural to urban there is hindrance in agriculture. Monitoring the environmental factor is not the complete solution to increase the yield of crops. There are no of factors that decrease the productivity to a great extent. Hence Automation must be implemented in agriculture to overcome these problems. An automatic irrigation system thereby saving time, money and power of farmer. The Traditional Farm land irrigation techniques require manual intervention. With the automated technology of irrigation the human intervention can be minimized. Continuous sensing an monitoring of crops by convergence of sensors with Internet of things (IOT) and making farmers to aware about crops growth, harvest time periodically and in turn making high productivity of crops and also ensuring correct delivery of products to end, consumers at right place and right time. So to overcome this problem we go for smart agriculture technique using IOT. This Project includes sensors such as temperature, humidity, soil moisture and rain detector for collection the field data and processed. These sensors are combined with well established web technology in the form of wireless sensor network to remotely control and monitor data from the sensors. Keywords: Arduino Uno, ESP8266 (Wi-Fi module), Automation of Irrigation System, Sensors, Batteries, Motor, etc
Facial Expression Recognition Using Convolutional Neural Network
Authors: Santra Arpita , Rai Vivek , Das Debasree , Kundu Sunistha
Published: May 2022

Abstract: Human & computer interaction has been an important field of study for ages. Humans share universal and fundamental set of emotions which are exhibited through consistent facial expressions or emotion. If computer could understand the feelings of humans, it can give the proper services based on the feedback received. An algorithm that performs detection, extraction, and evaluation of these facial expressions will allow for automatic recognition of human emotion in images and videos. Automatic recognition of facial expressions can be an important component of natural human-machine interfaces; it may also be used in behavioural science and in clinical practices. In this model we give the overview of the work done in the past related to Emotion Recognition using Facial expressions along with our approach towards solving the problem. The approaches used for facial expression include classifiers like Support Vector Machine (SVM), Convolution Neural Network (CNN) are used to classify emotions based on certain regions of interest on the face like lips, lower jaw, eyebrows, cheeks and many more. Kaggle facial expression dataset with seven facial expression labels as happy, sad, surprise, fear, anger, disgust, and neutral is used in this project. The system achieved 56.77 % accuracy and 0.57 precision on testing dataset. Keywords: Facial Expression Recognition, Convolutional Neural Network, Deep Learning.
Video Captioning Using Neural Networks
Authors: Padmawar Prathamesh , Borade Ram , Hol Aditya
Published: May 2022

Abstract: Researchers in the fields of computer vision and natural language processing have been concentrating their efforts in recent years on automatically developing natural language descriptions for videos. Although video comprehension has a variety of applications, such as video retrieval and indexing, video captioning is a difficult topic to master due to the complex and diverse nature of video content. Understanding the relationship between video content and natural language sentences, on the other hand, is still a work in progress, and several approaches for improved video analysis are being developed. Because of their superior performance and high-speed computing capabilities, deep learning approaches have shifted their focus to video processing. This research aims at the end-to-end structure of a deep learning based encoder-decoder network for creating natural language descriptions for video sequences. The use of a CNN-RNN model paired with beam search to generate captions for the MSVD dataset is explored in this study. We have compared the results with beam search and greedy search approach. The generated captions from this model is generally grammatically incorrect. Our paper focuses on improving those grammatical errors using encoder-decoder model. Grammatical errors include spelling mistakes, incorrect use of articles, prepositions, pronouns, nouns, etc or even poor sentence construction. Using beam search for k=3, the captions generated by our algorithm get a BLEU score of 0.72. After passing the generated captions through a grammar error correction mechanism, the results improve to a BLEU score of 0.76. The results increased by 5.55% after grammar correction. The blue score reduces as the value of k decreases, but the time it takes to generate captions decreases as well. Index Terms: Video captioning, end-to-end structure, MSVD dataset, encoder-decoder model, beam search, grammar correction
Desempeño productivo de ovinos alimentados con ensilaje de pasto buffel en sustitución de ensilaje de maíz
Authors: Barros e Silva Tiara Millena , Garcia Leal de Araújo Gherman , Vinhas Voltolini Tadeu , Ávila Queiroz Mário Adriano , Yamamoto Sandra Mari , Nunes Lista Fábio , Costa Gois Glayciane , Alves de Moraes Salete , Sena Campos Fleming , Da Rocha Santos Madriano Christilis
Published: May 2022

This study aimed to evaluate the productive performance and nutritional status of crossbred sheep fed a diet containing buffel grass silage (BGS) in substitution of corn silage (CS). Thirty-two male Santa Inês sheep with an average body weight of 20.09 ± 2.0 kg were distributed in a completely randomized block design with four treatments (0, 33.3, 66.6, and 100 % of substitution of corn silage with buffel grass silage) and eight animals per treatment. Dry matter intake, apparent nutrient digestibility, water balance, nitrogen balance, and productive performance of animals were evaluated. The different levels of substitution of corn silage by buffel grass silage promoted a linear decrease in the consumption of ether extract (P=0.001) and non-fibrous carbohydrate (P<0.001), apparent digestibility of non-fibrous carbohydrate (P=0.019), water intake via food (P<0.001), total water intake (P=0.008), water excretion via urine (P=0.004), total water excretion (P=0.001), among which the highest values were observed in animals fed 100% corn silage. Water excretion via feces (P=0.017) and nitrogen balance (P=0.047) showed a quadratic function, increasing as substitution with buffel grass silage increased from 0 to 33.3 %. No significant differences (P>0.05) were observed in sheep productive performance,  with an average daily  weight  gain of 140.16 g/d.  The replacement  of 66.6 % of CS for BGS provides satisfactory results for dry matter and nutrients intake, and water intake, with weight gain of up to 155 g/d for Santa Inês crossbred sheep in Brazilian semi-arid.
Perspectivas sobre la continuidad, calidad de leche y entorno en unidades de producción de leche en el estado de Aguascalientes, México
Authors: Romo-Bacco Carlos Eduardo , Parga-Montoya Neftali , Valdivia-Flores Arturo Gerardo , Carranza-Trinidad Rodrigo Gabriel , Montoya Landeros María Del Carmen , Llamas-Martínez Abril Areli , Aguilar Romero María Mayela
Published: May 2022

El objetivo fue evaluar la productividad, el precio de venta de leche, el tamaño y las percepciones de sus propietarios sobre su entorno, calidad y permanencia en explotaciones de producción de leche del estado de Aguascalientes. Se evaluaron 40 unidades de producción de leche, con condiciones semejantes de antigüedad (30 años), manejo zootécnico, disponibilidad de insumos y clientes. A través de un MANOVA se compararon las características productivas de las explotaciones con relación al factor del tamaño del hato. Se formuló un modelo estructural para evaluar el efecto de los factores del entorno sobre la calidad de la leche y la intención de los granjeros en dar continuidad a las unidades de producción en la actividad lechera. Se encontró influencia positiva en la escala productiva de las explotaciones lecheras, la obtención de mayor productividad diaria por vaca, mejor percepción de calidad y el precio de venta de la leche. En el modelo, los factores del entorno se asociaron significativamente con la valoración de la calidad de la leche por los productores y su permanencia de la actividad lechera (14.2 y 22.7 %, respectivamente). Lo anterior confirma que la percepción de factores del entorno pudiera ser considerado como variable crucial para incrementar la calidad de la leche, la productividad y para el encuentro entre los intereses de los productores y de la agroindustria, así como para favorecer el desempeño e integración de los diferentes eslabones de la cadena productiva lechera e impulsar la competitividad global del sector agroalimentario mexicano.
Inducción de la lactancia en ganado Holstein con dosis reducidas de benzoato de estradiol y sin suplementar progesterona exógena
Authors: González-Maldonado Juan , Rangel-Santos Raymundo , Ramírez-Valverde Gustavo , Gallegos-Sánchez Jaime , Beunabad-Carrasco Lorenzo , Antillón-Ruiz Javier
Published: May 2022

Lactation induction in cattle is an alternative way to increase the life span of cows with reproductive and productive issues that would otherwise be culled. An alternative lactation induction protocol is proposed. This 21-d protocol takes advantage of endogenous progesterone production and uses low doses of estradiol to stimulate udder growth and function. Holstein cows (n= 5) and heifers (n= 4) were injected with 500 mg of somatotropin on days one, eight, fourteen, and twenty-one. Estradiol benzoate (3-10 mg d-1) was applied from day one to fourteen. Cloprostenol (500 µg) was administered to the animals am and pm on d 1, and from d 18 to 21, they were injected dexamethasone (5 mg d-1). The cows and heifers were milked for the first time on d 22. Exogenous progesterone was not supplemented, but lactation protocol began in the diestrus phase of the estrous cycle and GnRH was injected to induce formation of an accessory corpus luteum. Lactation induction was successful in all animals, milk production ranged from 18.3 to 25.5 kg d-1. In conclusion, endogenous progesterone production in combination with reduced doses of estradiol benzoate is sufficient to induce lactation in Holstein cattle.
A Reforma Trabalhista e as mudanças nas formas de construção de “verdade” nas relações de trabalho levadas ao Judiciário
Authors: Silva Sabrina Souza da
Published: May 2022

Nesse artigo, busco discutir como se constrói a “verdade” nos processos trabalhistas na transição da legislação ocorrida em 2017, conhecida como Reforma Trabalhista. Com a reforma, vemos um impacto significativo na busca de direitos dos trabalhadores brasileiros na justiça do trabalho, havendo uma diminuição no número de processos na justiça e uma exclusão do número de trabalhadores que se sentem seguros na busca de administração institucional de seus conflitos trabalhistas por meios jurídicos. A pesquisa consistiu, principalmente, na análise de processos da Região Nordeste. Procurei fazer uma breve observação direta no Tribunal Regional do Trabalho do Estado da Bahia (TRT05), em dezembro de 2019, porém o artigo baseia-se, principalmente, em documentos processuais.
Ethical and Practical Implication of COVID-19 Vaccine among Pregnant Women
Authors: Kimunai Eunice , Mshigeni Salome , Sarwar Evangel
Published: May 2022

According to the CDC Health Alert Network, as of September 27, 2021, more than 125,000 confirmed laboratory cases of COVID-19 were reported among pregnant women that resulted in more than 22,000 hospitalized cases and 161 deaths, with the highest death toll of 22 women in the month of August 2021 alone. There are many adverse pregnancy outcomes that have been reported among pregnant women who have contracted COVID-19 including severe illness, stillbirth, preterm birth, neonates’ hospital admissions into Intensive Care Units (ICUs), and death. Just one-third of pregnant women were fully vaccinated before or during pregnancy as of mid-September 2021. Evidence about the safety and effectiveness of COVID-19 vaccination during pregnancy, although limited, has been growing. The COVID-19 vaccine is recommended for pregnant women and those who are breastfeeding. This study examines ethical and practical implications of the COVID-19 vaccine among pregnant women. In this paper, we reviewed and presented 16 cases of pregnant women who were either vaccinated or unvaccinated against COVID-19 and share their health outcomes as retrieved from media sources. The findings mirror what the literature reports on the state of COVID-19 among pregnant women. Negative outcomes reported in the literature were also reported in our case reviews. This study presents a framework that will guide providers with messaging and provide information to help pregnant women make informed decisions about getting the COVID-19 vaccine.
Fejleszthetők-e a pedagógusok online oktatással kapcsolatos kompetenciái online tanulási környezetben?
Authors: Major Lenke , Námesztovszki Zsolt , Kovács Cintia , Urbán Dorottya , Boros Orsolya
Published: May 2022

A tanulmányunkban a Web 2.0 – Online eszközök használata a tanórán és azon kívül kurzust mutatja be, illetve az azon részt vevő pedagógusok tevékenységét elemzi. A kurzus 5 hétig tartott (2020 decembere és 2021 januárja között), 255 pedagógus jelentkezett rá, és 204-en teljesítették sikeresen. Az online képzés elsősorban azzal a céllal indult el, hogy univerzális és ingyenes segítséget nyújtson a pedgaógusoknak az online oktatás terén.
Artistas y artistas-docentes en Chile: agentes que posibilitan cambios desde las artes
Authors: García-Huidobro Munita Rosario , Hoecker Gil Gabriel
Published: May 2022

Este artículo presenta parte de los resultados de la investigación que se desarrolló en Chile con artistas y artistas-docentes titulada "Nuevos vínculos entre lo artístico y lo pedagógico. Abriendo campos hacia una reconceptualización del arte y el rol del/la artista en la sociedad actual", entre 2018 y 2021. El estudio busca comprender los cruces entre las prácticas artísticas y pedagógicas y cómo estos cruces tienen el potencial de generar nuevas ideas para las áreas de las artes y la educación en Chile. Para ello, se desarrolló una metodología cualitativa y se realizaron talleres artísticos de discusión con diversos grupos de artistas-docentes en Chile. Dentro de los principales resultados, se destaca la percepción de artistas y artistas-docentes como agentes de cambio, quienes a través de su labor artística, pedagógica y de mediación, promueven posibilidades transformativas desde las artes y perciben que las artes son prácticas de cambio social y cultural.
Numerical investigation of Magnetic Pulse Welding of D9 Steel Tube to SS316LN End Plug using Lagrangian Finite Element and Smoothed Particle Hydrodynamics (SPH) and its Experimental Validation
Authors: Kulkarni M. R. , Kumar Deepak , Nandy Arup , Kolge Tanmay , Kore Sachin D. , Bakhtsingh R. I.
Published: May 2022

Conventional mesh-based numerical methodologies cannot accurately
simulate high-speed impact welding due to extreme distortion of mesh.
Therefore, a smoothed particle hydrodynamics (SPH) based methodology is
implemented to study the welding morphology and jetting phenomenon
during magnetic pulse welding (MPW) of D9 clad tubes and  SS 316LN end
plugs after carrying out electromagnetic and structural deformation
analysis using Lagrangian Finite element method. Different experimental
parameters like taper angle, taper length, stand-off distance and
discharge energies are varied to minimise leak-tightness. Discharge
voltage of 17 kV and 18 kV and taper angle of 8 degrees is observed to
be best suited during the experiment. Simulation results are validated
with experimental observations. Furthermore, the joints are tested with
the help of various non-destructive and destructive techniques.
Uniformity at the joint interface is established by X-ray computer
tomography. Moreover, the hydraulic pressure burst test shows failure in
the unwelded region at the burst pressure of 105 MPa. Therefore, the
current work discusses the applicability of the MPW technique as an
alternative method to create a D9 tube to SS 316 LN end plug for a fast
breeder reactor and the SPH technique on successfully reproducing
experimentally observed interface morphology.
One-step solid-state synthesis of NixPy@C nanocomposites for high-performance hybrid supercapacitor
Authors: Gao Shiyao , Wang Bing , Zhang Deyi , Xia Xu , Wang Jingruo , She Wenna , Yang Biao , Meng Xianxin , Wang Kunjie , Han Zhiyong
Published: May 2022

In this work, a convenient and efficient one-step solid-phase synthesis
method (SPS) is successfully developed for the preparation of NixPy@C
nanocomposites under an ambient atmosphere. By controlling the
synthesizing temperature, carbon-coated Ni2P, Ni5P4, and NiP2
nanocomposites can be facilely synthesized. The solid-phase synthesized
NixPy@C nanocomposites exhibit high charge storage capability and good
cycle stability. A high specific capacity of over 197.2 mAh g-1 (709.9 C
g−1) is achieved at a current density of 1 A g-1 for the optimal
nanocomposite NiP2@C. The assembled hybrid supercapacitor device based
on the NiP2@C nanocomposite and an interconnected hierarchical porous
carbon (NiP2@C//IHPC) delivers a specific energy of up to 50.38 Wh kg-1
at a specific power of 0.89 kW kg-1. More than 83.8% of initial
specific capacity is retained after 20000 cycles. This method is proved
to be a reliable strategy for simple preparation of high-performance
transition metal phosphides for energy storage devices.
Hierarchy of evidence for endometriosis diagnosis and surgery.
Authors: Koninckx Philippe , Ussia Anastasia , Keckstein Joerg , adamyan Leila , Donnez Jacques , Martin Dan , Wattiez Arnaud
Published: May 2022

Without an animal model and a non-invasive diagnosis, the
pathophysiology of endometriosis is unclear and information is limited
to symptomatic women. Lesions are biochemically variable. Medical
therapy cannot be blinded and extensive surgery combines low numbers
with variable difficulty and surgical skills. Experience is spread among
specialists in imaging, medical therapy, infertility, pain and surgery.
Besides the recent changes in interpreting statistical analyses, the
limited good-quality evidence increases the importance of clinical
experience. Therefore trial design, analysis and judgment of results
should be done by experts in the different disciplines of endometriosis,
before being translated into guidelines.
MACROSCOPIC PROPERTIES OF NOVEL CORROSION RESISTANT AND TAMPER EVIDENT VISCOELASTIC POLYMERS, BASED ON HYBRID CYCLIC PHOSPHAZENE MATERIALS
Authors: Ibrahim khalid Aref , Es-Saheb Mahir , Kirk Steve , Azhar Shahid , Almajid Abdulhakim , Matia-Merino Lara , Almehmadi Fahad
Published: May 2022

Three novel materials have been developed based on
hexachlorocyclotriphosphazene and octachlorocyclotetraphosphazene. The
core phosphazene ring is substituted with varying ratios of fluorinated
side groups and with 4-hydroxybenzaldehyde to allow a Schiff base
reaction with diaminodiphenylmethane (DDM) to form a cyclomatrix or
cyclolinear polymer compound. These compounds give excellent water
repellence combined with good adhesion and viscoelasticity. In addition,
the new materials undergo a surface reaction on exposure to atmosphere
such that subsequent disturbance of the surface causes virgin material
to become exposed giving clear evidence of such disturbance.
Unusual localization of melanoma.
Authors: KAAKOUA Mohamed , KARMOUCH Yassine , ELFADLI Mohamed , BELBARAKA Rhizlane , GHOUNDALE Omar , ESSADI Ismail
Published: May 2022

Penile’s melanoma is a rare situation associated with late diagnosis and
high morbi-mortality. We report the case of a 70-year-old. Represented
skin lesions of the penile gland. A surgical biopsy established the
diagnosis of Penile’s melanoma in the metastatic stage. Malignant
melanoma of the penis represents an exceptional situation
Seismic performance analysis of a concrete filled steel tubes arch bridge: A parametric study
Authors: Zhang Xuhui , Zhang Qinghui , Sun Hao , Ke Wen , Ma Lin , Men Lijuan
Published: May 2022

Numerical method was widely used in bridge seismic performance analysis,
but the diversity and complexity structures increased trouble in the
modelling process. This paper presented a systematic, universal and
flexible bridge numerical modelling method, and the seismic performance
of a concrete filled steel tubes arch bridge was studied. The
geometric/attribute model involved structural/stiffness equivalence, and
the bridge parametric modeling strategy combined commercial
computer-aided design language of software MATLAB and ANSYS. Data
exchange in different fields and rapid reconstruction of numerical model
were realized. Finally, the vibration mode, deformation and internal
force of the bridge under seismic load was studied. The results
indicated that the proposed parametric model formed a complete data
transfer process, and the bridge model rapidly modified and
reconstructed. The numerical calculation efficiency was greatly improved
because of the structure element was employed instead of solid element.
The displacement and internal force of arch rib were mainly controlled
by lateral load under horizontal uni-input, and the combined horizontal
and vertical load should be considered in seismic design. The leaning
angle and width-span ratio of transverse braces are considered to
improve the seismic performance of bridges.
Metastability of Biological Matter in Liquid Phase Separation
Authors: Liu Jianhui , Liu Xiaolin , Zhang Tianfu , Huang Jinqing , Tang Ben Zhong , Chau Ying
Published: May 2022

Membraneless organelles (MLOs) form via liquid-liquid phase separation
(LLPS). The liquid-like MLOs afford multifold peculiarities including
high dynamics, reversibility and responsiveness. The MLOs are typically
metastable with a tendency to undergo fast, drastic and reversible
formation and dissolution, as well as transition into more stable glassy
or gel-like states. Moreover, the alteration of metastability of LLPS is
linked with cellular pathology. Here, we review the crucial and
ubiquitous ‘metastability’ of MLOs driven by liquid phase separation,
from multifaceted regards including energy state, molecular
interactions, molecular structure, materials state, as well as the
associations with diseases. This review can help to advance the insight
into properties and pathogenesis associated with LLPS of biological
matter.
Comparison of the price level of the water and sewerage charge rates and macroeconomic indicators in the Czech Republic
Authors: Vítková Eva , Vaňková Lucie , Oblouková Aneta
Published: May 2022

This article focused on comparing the development of the price level of the water and sewerage charge rates in the regions of the Czech Republic to the development of macroeconomic indicators expressing the performance of the individual region. The following were selected as macroeconomic indicators: gross domestic product, gross domestic product per capita, net disposable income of households, net disposable income of households per capita and average gross wage. The Czech Republic is divided into 14 regions. In each region, a different price level of the water and sewerage charge rate was determined. At the same time, each region had a different performance which is represented by the above-mentioned macroeconomic indicators. It follows from the definition of Act No. 274/2001 Coll. on the water supply and sewerage systems operation is in the public interest. This raised the research question of whether regions with lower performance also have a lower price level of water and sewerage charge rates from the point of view of the purchasing power of the inhabitants of this region. Confirmation or rejection of this hypothesis was based on the creation of 91 matrix expressions. The input data for the creation of matrices contained 196 items of data on the price level of the water and sewerage charge rates and 1,176 items of data on macroeconomic indicators. The hypothesis was not confirmed as only one region met the condition (Olomouc Region), which had a lower price level of water and sewerage charge rates and lower efficiency.