bluuebunny/crossref_metadata_2025 huggingface dataset:
Manejo del suelo: impactos ambientales del manejo
Authors: Rodríguez Nubia
Published: May 2023

Beneficios que las personas y la sociedad obtienen de los ecosistemas; estos se clasifican en Servicios Ecosistémicos de: soporte,regulación, aprovisionamiento y culturales. El suelo es un recurso finito, no renovable, soporte esencial para la producción de cultivos como la soya y el maíz.
Youth, Music and Creative Culture: Playing for Life
Authors: Hasibuan Dana
Published: May 2023

Oleh : Derajad S. WidhyhartoPeneliti Youth Studies Centre FISIPOL UGM
Keylogger Deployment and Detection
Authors: Thorat Sankalp , Rahate Riyesh , Singh Das Paramjeet , Shinde Ganesh
Published: May 2023

Abstract: T Keylogger is software used to record keystrokes of a user. It is a very important tool of surveillance as it records the activity of a user. Keyloggers can be used for constructive as well as destructive and malicious purposes. In this project we intend to make a keylogger which can be used as a means of control and surveillance by employers and parents. We also intend to create a program which can be used to detect keyloggers embedded in our system without our permission. Passwords are the need of the hour and so is its protection. Keystrokes monitoring by using keylogger is an advanced way to steal passwords and valuable data and more sophisticated methods of doing this are cropping up. Keyloggers provide a middle ground for surveillance as it is neither too invasive, nor too lax. In this project we make a case for a better use of keyloggers and enlightening people about the various uses and dangers of keyloggers. Keylogger detection is an important part of cybersecurity, given how easy it is to code a keylogger and easy to deploy, keylogger detectors should be of high importance and must be included in all malware detection software. In this project we explore the different types of keyloggers, their effectiveness, and their shortcomings and base our opinion on these facts.
Design and Development of Piezoelectric MAT
Authors: Madne Prof. A. N. , Meshram Kashinath , Vaidya Sahil , Kumar Sanjeev , Hinge Deush , Chahande Pratik
Published: May 2023

Abstract: Electrical energy use is increasing quickly. Currently, the total electricity generated is not enough to equal the entire electricity needed. In this project, a technique for generating electricity by using human power is suggested. "Human power" is the use of human labour to produce energy that might be used to power electrical devices. In countries like India, where a sizable portion of the population walks everywhere, human power, such as walking, running, and jumping, can be exploited as a power source. This project exhibits a method for employing a piezoelectric sensor to capture energy from human motion as well as the use of saved energy to charge a mobile phone using RFID. a person's walking weight.
Advanced Version of Voice for Deaf and Dumb Persons
Authors: Krishnan M. Navaneetha , S Keerthana. , S Nivetha. , R Gowri Priya.
Published: May 2023

Abstract: Normal and dumb individuals can naturally communicate with one another using sign language, but people hasn’t comprehend their sign language, they frequently struggle to do so. The major goal of this initiative is to lessen the communication gap between deaf-dumb persons and other people. The suggested device transforms their hand motions into voice that a layperson may comprehend in order to lessen this barrier. Gloves, accelerometer and flex sensors, a microprocessor, a voice module, and a 16x16 LCD display make up this device. To put it simply, the voice module will translate the gestures into real-time speech output, and the display will provide text foreach corresponding gesture. So, this device offers both deaf - dumb and sighted people an effective means of communication.
Deep Learing Technique for Diabetic Retinopath Classification
Authors: R Manibharath
Published: May 2023

Abstract: Strict control of blood glucose and blood pressure is critical for reduction of the incidence and progression of diabetic retinopathy (DR). Follow-up of patients with diabetes mellitus is protocol based and not based solely on the presence of symptoms. Staging of the level of DR (mild, moderate, or severe nonproliferative DR vs. proliferative DR, PDR) drives the follow-up interval. The most common cause of visual loss in diabetic patients is diabetic macular edema (DME). Detection of Eye Disorders Through Retinal Image Analysis Blood Vessel Segmentation, Optic Disc Segmentation and Fuzzy Logic Image Processing. Common Retinal Eye Disorders that has been solved in this project. The results of multicenter, randomized studies suggest that the best visual results for DME currently are achieved with intravitreal ranibizumab injections ± focal laser photocoagulation. Results using bevacizumab seem quite comparable to those with ranibizumab. In addition to treating DME, this approach also seems to reduce the likelihood of progression of DR. Selected patients also may benefit from intravitreal steroid treatment and focal laser therapy, but there is a relatively higher rate of glaucoma and cataract formation. An increase in intraocular pressure inside the retina led to the development of the neuro-degenerative eye condition known as glaucoma. Being the second largest cause of blindness worldwide, It can lead the person towards complete blindness if an early diagnosis does not take place. The architecture of CNN is cognate to that of the linking form of neurons in the brain of humans and was inspired by the suggestion of the visual cortex. The CNN algorithm has a faster prediction along with better accuracy.
Facial Emotion Recognition
Authors: Maurya Vikas , Awasthi Ms. Anjali , Singh Rajat , Maurya Deepak , Dwivedi Manorma
Published: May 2023

Abstract: Facial emotion recognition (FER) has become an important topic in the fields of computer vision and artificial intelligence due to its great academic and commercial potential. Although FER can be performed using multiple sensors, this review focuses on studies using facial images exclusively, since visual expressions areone of the main channels of information in human communication. Automatic emotion recognition based onfacial expressions is an interesting research area that has been applied and applied in various fields such as safety, health and human-computer interface. Researchersin this field are interested in developing techniquesto interpret, encode facial expressions and extract these features for better prediction by computer. With the remarkable success of deep learning, different types of architectures of this technique are exploited to achieve better performance. The purpose of this paperisto conduct a study ofrecent work on automatic facial emotionrecognition (FER) via deep learning. We highlight these contributions, the architectures and the databases used, and we show the progress achieved by comparing the proposed methods and the obtained results. The purpose of this paper is to serve and guide researchers by reviewing recent work and providing insights to improve the field.
Hand Written Digit Recognition using CNN
Authors: . Gopinath , Chandra N. Varun , Prabhath N. Paul , Rahul K.
Published: May 2023

Abstract: Digit Recognition is an interesting and significant topic. Because the manually written digits are not all the same size, thickness, position, and direction, and to determine the issue of handwritten digit recognition, different obstacles must be considered. The variety and distinctiveness of different people's composition styles also influence the appearance and presence of the digits. It is a method of perceiving and organizing transcribed digits. It offers a wide range of uses, such as programmed bank checks, postal locations, and tax paperwork, among others. The goal of this project is to create a classification algorithm that can recognize handwritten digits. The outcomes of some of the most widely used Machine Learning Algorithms, such as SVM, KNN, and RFC, as well as Deep Learning calculations, such as multilayer CNN, using Keras, Theano, and TensorFlow. Using these, an accuracy of 98.70% was reached using CNN (Keras) when compared to 97.91% using SVM, 96.67% using KNN, and 96.89% using RFC.
Wilkinson Power Divider
Authors: Pant Pragya , Shrivastava Nihal , Arora Muskan , Paliwal Ruchi
Published: May 2023

Abstract: The basic design of a power divider with two symmetrical quarter-wavelength branches that provide matching conditions at all of its ports is the focus of the research. Fr4 was chosen as the design's substrate, and 2.9 GHz is the operating frequency for the circuit. The structure of the power divider rules, which were derived from a circuit-theoretic analysis of AC power-flow expressions, reflects the topology and voltage profile of the network. We show how the power divider laws can be used to analyse power networks. The Wilkinson Power Divider has several uses, including feeding circuits for antenna arrays and measurementsystems
The Association Between Online Class-Related Anxiety and Academic Achievement Among Undergraduates
Authors: Zeng Youlai , Sun Weixin , Wang Min , Wei Jiaxin , Sun Guochao , Hu Jinsheng
Published: May 2023

Online classrooms have become an important way to cope with the uncertainty of changing teaching and learning contexts in universities since the outbreak of the COVID-19 pandemic. However, this learning mode has caused new physical and mental health issues, such as online class-related
anxiety. We investigated the association between online class-related anxiety and undergraduates' academic achievement. The results showed that online classrelated anxiety had a negative correlation with undergraduates' academic achievement. Intrinsic school motivation mediated the relationship
between online class-related anxiety and academic achievement, but extrinsic school motivation suppressed the negative link between these variables. Gender played a moderating role in the process of online class-related anxiety affecting academic achievement. This study expands the research
perspective of achievement emotion theory, especially in the online learning environment. Emotional intervention strategies can be adjusted according to the gender of college students to promote the improvement of academic achievement.
Employment Process of Humanities College Graduates: Grounded Theory Approach
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kim Yuri , Lee Jaekyung
Published: May 2023

Objectives The purpose of this study is to focus on humanities college graduates reported to have lower quantitative and qualitative achievements in the labor market compared to other majors, and to look closely at what their search for employment is like and what experiences they have in the process.
Methods The research method of this study is as follows. Semi-structured one-on-one in-depth interviews were performed on 14 subjects who graduated from four-year university majoring in humanities disciplines and have been employed in a corporate setting for fewer than 3 years. Interview data were analyzed based on the grounded theoretical method of Strauss and Corbin (1990; 1998; 2001).
Results The major findings can be summarized as follows. First, categorizing through open coding works yielded 178 concepts, 43 subcategories, and 26 categories. Second, paradigm models of experiences of humanities graduate students in the employment process were presented. Third, the stages of the employment process of the humanities graduates through process analysis were derived: ‘exploration of career alternatives’, ‘career alternative expansion/conversion’, ‘employment preparation behavior’, and ‘job retention’.
Conclusions The main phenomenon experienced by humanities college graduates in the employment process of company was found to be “anxiety due to the social limitations of their major”. They were more aware of the social double barriers of ‘humanities’ and ‘gender’ than personal internal barriers in the employment process of companies. Based on the results of this study, the correct direction of career and employment education for humanities majors was suggested at the university career and employment center and Humanities department level, and at the national and company level.
Development of Evaluation Criteria for the Science Education Program for the Gifted
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Lee Kap-Jung , Shin Dong-Hee
Published: May 2023

Objectives The purpose of this study was to develop evaluation criteria to follow when developing science gifted education programs, selecting high-quality programs among already developed gifted education programs, or improving the deficiencies of the components of the selected program.
Methods The three-point curriculum evaluation rubric developed by NAGC in the U.S. was developed in the form of a first checklist, and six evaluation participants, including researchers, applied it to the science gifted education program, and the evaluation criteria were revised to the second. The 2nd revised evaluation criteria were finally revised by evaluators who will analyze 101 GED-equipped programs with researchers to present opinions based on actual user's perspective during the evaluation practice, and the evaluation criteria were properly revised and developed according to Korea's educational conditions.
Results Based on the two main characteristics of differentiation and talent development, we developed a 36-point checklist-type evaluation criteria for science gifted education programs with 11 main characteristics aimed at practical problem-solving skills. The 11 main characteristics consist of 10 main characteristics that can be commonly used in all subjects and 1 subject characteristic according to the subject.
Conclusions It can be used as an effective criterion for the development and selection of high-quality science gifted education programs. Common standards can be used in all subjects when developing gifted education programs, and the criteria for subject characteristics can be replaced for each subject.
Analysis of Justification for the Inclusion Relation about Division and Proportional Distribution in Elementary School Students
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Ko Junseok
Published: May 2023

Objectives This study seeks to derive implications for teaching and to learn to strengthen the awareness of internal connectivity in mathematics and justification activities in mathematics teaching and learning situations through the problem of justifying the inclusion relationship of division and proportional distribution.
Methods Through theoretical consideration, various aspects of division and proportional distribution inclusion relationships were actualized, an analysis framework for justification for inclusion relations was prepared, and the problem of inclusion relations of division and proportional distribution was presented to 100 elementary school students in metropolitan city. The justification process was analyzed.
Results As a result of the analysis, 46% of elementary school students paid attention to the operation symbol when presenting the justification for the inclusion relationship of the two operations, and 21% of the students performed valid justification in the process of justifying the inclusion relationship. The characteristics of the students who performed valid justification were that they were able to pay attention to the meaning of the sign during the justification process and were able to categorize the meaning of the sign by acting a progressive disentanglement of the meaning and connecting the two operations through various visual representations.
Conclusions As an implication of mathematics teaching and learning through this study, students are likely to pay attention to specific target symbols rather than the meaning of abstract operations when justifying, and a progressive disentanglement of concepts and various visual applications is needed to strengthen students' recognition of good internal connectivity. Based on this, it is necessary to provide an opportunity for a connection between the two concepts. In providing this opportunity, the justification task allows one to recognize different grounds within the same assertion, suggesting that it is a valuable activity for connectivity guidance.
Analysis of the Effectiveness of Learning Community Program for College Students: Focusing on Self-directed Learning Ability, Self-regulatory Efficacy, Collaboration Preference, and Communication Skill
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Do Hee Joo , Park Sung Hee
Published: May 2023

Objectives This study aimed to analyze the effects of self-directed learning ability, self-regulatory efficacy, collaboration preference, and communication skill according to college students’ participation in learning community activities in order to find an effective management plan for the learning community.
Methods To do so, a survey was conducted on 422 students at S College in Gyeonggi-do. The experimental group had 181 students who participated in the learning community program run by the Center for Teaching and Learning Development in the first semester of 2022. The control group consisted of 241 people who did not participate in the learning community program. To verify the effect of learning community participation, pre- and post-surveys were carried out at the beginning and end of the learning community activities of the experimental group and For statistical verification, covariance analysis(ANCOVA) was performed.
Results The analysis results showed that the self-directed learning ability, self-regulatory efficacy, collaboration preference, and the communication skill of college students who participated in the learning community improved.
Conclusions This study is meaningful in that it analyzed the effect of the learning community program on college students and provided basic data for the measures to vitalize learning communities in colleges and performance analysis.
Post-selection-free preparation of high-quality physical qubits
Authors: Barber Ben , Gillespie Neil I. , Taylor J. M.
Published: May 2023

Rapidly improving gate fidelities for coherent operations mean that errors in state preparation and measurement (SPAM) may become a dominant source of error for fault-tolerant operation of quantum computers. This is particularly acute in superconducting systems, where tradeoffs in measurement fidelity and qubit lifetimes have limited overall performance. Fortunately, the essentially classical nature of preparation and measurement enables a wide variety of techniques for improving quality using auxiliary qubits combined with classical control and post-selection. In practice, however, post-selection greatly complicates the scheduling of processes such as syndrome extraction. Here we present a family of quantum circuits that prepare high-quality |0⟩ states without post-selection, instead using CNOT and Toffoli gates to non-linearly permute the computational basis. We find meaningful performance enhancements when two-qubit gate fidelities errors go below 0.2%, and even better performance when native Toffoli gates are available.
Новеллы российского законодательства в сфере строительства, экономики и управления недвижимостью в первом квартале 2022 года
Authors: Ткаченко Владимир Борисович , Гришин Валентин Николаевич
Published: May 2023

В представленном аналитико-правовом анализе отражены изменения российского законодательства в сфере строительства, экономики, управления недвижимостью, управления жилищно-коммунальным комплексом.

В обзоре отражено нормативное правовое регулирование общественных отношений по вопросам деятельности отношений, связанных с возведением индивидуальных жилых домов в границах малоэтажных жилищных комплексов (МЖК) по договорам участия в долевом строительстве, вопросы требований к документации застройщика МЖК, условий заключения договоров участия в долевом строительстве, получения проектного финансирования, определения статуса имущества МЖК, вопросы независимой оценки квалификации специалистов в сфере строительства, их деятельности, а также требований, предъявляемых к указанным специалистам, вопросы создания публично-правовой компании «Роскадастр», осуществляющей геодезическую и картографическую деятельность, выполняющую кадастровые, землеустроительные работы, и т.п., отношения о возмещении убытков при ограничении прав собственников, владельцев и арендаторов земельных участков, определения порядка возмещения убытков, причиненных органами власти или органами местного самоуправления, отношения, связанные с разрешенным видом использования земельного участка, основного или условно разрешенного вида использования, и иные изменения в действующее российское законодательство.
Расчет дохода частного инвестора ЖКХ в условиях перехода на долгосрочное тарифное регулирование
Authors: Пантелеева Маргарита Сергеевна
Published: May 2023

В статье рассматривается необходимость перехода жилищно-коммунального хозяйства на долгосрочную систему тарифообразования. Данная задача была поставлена Правительством РФ в июне 2021 года в рамках утверждения «Концепции внедрения механизмов тарифообразования для организаций, осуществляющих регулируемые виды деятельности, на долгосрочный период». Существующие и ежегодно индексируемые тарифы на ЖКХ не позво­ляют развиваться жилищному хозяйству, так как не являются привлекательными для частных капиталов и вызывают усугубление конфликта между собственниками жилых помещений и управляющими организациями. Отсутствие социального доверия и недостаток бюджетных средств на протяжении многих лет существенно снижают качество жилого фонда РФ. Состояние жилого фонда в стране сегодня таково, что без массового проведения капитальных ремонтов с использованием энергоэффективных материалов и инновационных технологий количество аварий в жилых зданиях будет только увеличиваться. Для этого нужны дополнительные инвестиции, так как бюджетные источники в состоянии покрыть только отдельные виды работ и объемы финансирования. России нужна новая система формирования тарифов, которая смогла бы учесть все особенности отрасли ЖКХ и возможности финансирования с учетом ее монопольной структуры. В статье предлагается концептуальный подход к вычислению долгосрочного значения тарифа на ЖКХ за счет перераспределения сверхприбыли монополий в пользу частного инвестора. Важным условием реализации предлагаемого подхода является сохранение темпов строительства в РФ на ближайшие 10 лет и значений долгосрочных средних и предельных издержек на производство и предоставление коммунальных ресурсов.
Формирование портрета и предпочтений потребителя в отношении объектов индивидуального жилищного строительства
Authors: Куракова Оксана Анатольевна , Ефимов Константин Владимирович
Published: May 2023

В данной статье представлен анализ одного из сегментов рынка объектов индивидуального жилищного строитель­ства. На сегодняшний день рынок объектов ИЖС весьма популярен среди застройщиков. Застройщики заинтересованы в участии в таких проектах на заранее известных правилах, так как это поможет им выйти в новый, еще не до конца сформированный сегмент рынка и занять там лидирующие позиции. Прежде чем планировать реализацию проектов ИЖС необходимо иметь четкое представление о потенциальных потребителях и их предпочтениях. Такое знание поможет выработать застройщику наиболее эффективную стратегию развития своей компании в данном направлении. Для формирования стратегии развития в данном направлении необходимо определиться с целевой аудиторией потребителей, а впоследствии сформировать более четкий портрет индивидуального потребителя. Представленный в статье анализ показал, что для формирования целевых групп потребителей в качестве главного критерия формирования таких групп, необходимо использовать цели конечных потребителей. В данном случае в качестве конечных целей были определены следующие: поездки на выходные, постоянное проживание, дача/летний дом. Для каждой из целевых групп были сформированы характеристики потребителей исходя из их социально-демографических, психографических и поведенческих признаков. Дальнейший анализ был направлен на изучение предпочтений потребителей в рамках каждой из представленных целевых групп. Знание о таких предпочтениях помогает застройщику получать максимальную прибыль с инвестиционных проектов строительства объектов загородной недвижимости за счет создания наиболее востребованного продукта.
Метод освоенного объема в интеллектуальной системе управления строительными проектами
Authors: Мишланова Марина Юрьевна
Published: May 2023

Представлен краткий обзор методов оценки степени реализации инвестиционно-строительных проектов. Выделены достоинства метода освоенного объема, направления его развития и перспективы использования в интеллектуальной системе управления проектами. Автором разработан ромб-допуск для нормирования процессов реализации строительного проекта и автоматического управления по отклонениям. Рассмотрена зависимость стоимости от объема строительно-монтажных работ, как один из аспектов формирования поля допустимых показателей реализации проектов. Выявлена динамическая зависимость и взаимосвязь количества проектных работ, стоимости и расписания. Представлено разложение проектных показателей по компонентным группам. Определены базовые отклонения, возникающие при реализации проектов: общее отклонение по затратам, отклонение удельной стоимости работ, отклонение выработки, отклонение количества работ, отклонение стоимости затраченных ресурсов, отклонение расписания. Рассмотрена сигнальная функция полученных отклонений показателей реализации инвестиционно-строительного проекта. Выявлены актуальные управленческие функции методологии освоенного объема. В статье выявлены базовые ситуации для реализации сигнальных функций в системе интеллектуального управления строительными проектами на основе методологии освоенного объема. Идентифицированы ситуационные прецеденты состояния инвестиционно-строительных проектов, как методическая основа будущего прецедентного моделирования. Определена сопоставимость методологии освоенного объема и актуального строительного инжиниринга. Разработаны основные итерации внедрения методологии освоенного объема в систему интеллектуального управления проектами. Представлен алгоритм принятия решений в отношении реализации инвестиционно-строительных проектов, построенный на принципах интеллектуального управления. В статье представлены направления дальнейшего совершенствования методологии освоенного объема для оптимизации управления строительными проектами.
Реновация жилой застройки в регионах: организационно-финансовые механизмы и ограничения
Authors: Овсянникова Татьяна Юрьевна
Published: May 2023

В статье рассматриваются проблемы комплексной реновации жилой застройки в регионах Российской Федерации, которые, несмотря на реализацию национального проекта и государственных программ, не теряют своей актуальности. В силу неоднородности социально-экономического пространства России, прежде всего, сложившихся территориальных диспропорций в распределении жилищных инвестиций, различий в структуре существующего жилищного фонда возможности регионов в решении проблемы реновации жилой застройки разные. На основе данных Фонда содействия реформированию ЖКХ (ныне — Фонд развития территорий) выполнен анализ результатов выполнения региональных программ переселения граждан из аварийного жилья на примере регионов Сибирского федерального округа. Выявлены основные факторы, выступающие организационно-финансовыми ограничениями в реализации программ ликвидации аварийного жилья. Показано, что существующие организационно-финансовые механизмы, основанные на региональных программах капитального ремонта общего имущества многоквартирных домов и федеральном проекте ликвидации непригодного для проживания жилья, не обеспечивают комплексной реновации жилищного фонда и развития застроенных территорий. Реализация проектов выборочного капитального ремонта и точечного сноса аварийных зданий не решает проблемы качественного улучшения жилой застройки, поскольку даже расселенные аварийные дома остаются в структуре жилой застройки из-за низкого градостроительного потенциала освобождаемых земельных участков. Показано, что новый механизм комплексного развития территорий, несмотря на созданную нормативно-правовую базу и институциональное обеспечение, в настоящее время не получил должного развития, поскольку также существует ряд организационно-финансовых ограничений. Основными ограничениями являются неразработанность региональной нормативно-правовой базы, отсутствие региональных институтов и низкая маржинальность проектов реновации существующей жилой застройки, что делает такие проекты инвестиционно непривлекательными для потенциальных инвесторов. Это свидетельствует о необходимости развития региональных механизмов комплексной реновации городской застройки и интеграции финансовых ресурсов всех стейкхолдеров проектов реновации.
Evaluation of BioFire Filmarray panel for respiratory pathogens: a demographic and clinical analysis in Istanbul, Turkey
Authors: Duman Nurcan , Sarınoğlu Rabia Can , Nur Kuzan Beyza , Mucahit Güncü Mehmet , Aslan Bülent , Çagatay Cimşit Nuri , Karahasan Ayşegül
Published: May 2023

We aimed to analyze the distribution of respiratory pathogens(RP) detected by a multiplex PCR-based method (BioFire Diagnostics, USA) among patients with suspected respiratory tract infections (RTI) and to evaluate the demographic, clinical and radiological characteristics of infected individuals . RP were detected in 1621/6376 (25.4%) of the samples in the years 2018-2020. Rhinovirus/enterovirus (RV/EV) were the most commonly detected pathogens (38.1%) followed by influenza A and B viruses (21%) and parainfluenza virus (PIV) (9.5%). Single pathogen was detected in 1361 (84%) and multi pathogens in 260 (16%) of 1621 samples. At least one comorbidity was present in 379 (30.5%) of the patients. Fever was the most common sign followed by cough and dyspnea. Thorax CT was present in 426 of 1243 RP positive patients (34.3%). Any radiological findings was found significantly related for a specific pathogen. No medication was given to 52.9% whereas antibiotics in 35.7% and antivirals in 3.8% of the patients. Film Array panel as a multiplex PCR test is not used rationally in our hospital and results were not dramatically improve management of RTI. A better communication between clinician and microbiologist is required for efficient use of laboratory and rational use of antimicrobials.
Reporte de casos: Síndrome de inflamación multisistémica del adulto asociado a infección por SARS-CoV-2
Authors: Gilón-Córdoba Laura , Garzón-Herazo Javier , Dávila-Ruales Valentina , Rico-Mendoza Jenny
Published: May 2023

Pocos meses después de haber empezado la pandemia por COVID19 se describió en niños una entidad llamada síndrome inflamatorio con compromiso multisistémico, cuyas principales manifestaciones incluyen fiebre, compromiso cardiaco, neurológico, gastrointestinal y mucocutáneo, asociado a elevación de reactantes de fase aguda. Estas manifestaciones se presentan típicamente algunas semanas después de la infección. Posteriormente en diferentes partes del mundo, se empezaron a publicar casos en adultos. El tratamiento está dirigido principalmente a modular la respuesta inmune e hiperinflamación asociada, con respuesta y desenlaces variables según el grado de compromiso multisistémico. Presentamos dos casos de adultos atendidos en nuestra institución que cumplieron criterios para esta complicación.
Región del Istmo de Tehuantepec ¿un caso de desarrollo económico local?
Authors: Lancaster Díaz Eduardo , Martínez Prats Germán , Mapen Franco Fabiola de J
Published: May 2023

La inversión extranjera directa (IED) representa para las economías de los países una oportunidad de mejorar sus índices macroeconómicos, en el caso de México, las autoridades gubernamentales han impulsado la economía nacional mediante el flujo de IED, pero es necesario mantener un equilibrio entre la IED y las actividades económicas locales; el objetivo del presente documento es conocer el status actual de los factores de desarrollo endógeno para identificar los puntos vulnerables de la economía local ante la presencia de inversión extranjera directa; para ello se toma como referencia el caso de las IED realizadas en el sur del Istmo de Tehuantepec con las que se construyeron parques eólicos, siendo la relevancia del documento generar una discusión sobre los efectos de esta IED en la comunidad; se concluye que ningún factor ha sido desarrollado lo que ha afectado a la economía local.
Energías renovables como herramienta de inclusión una propuesta en poblaciones vulnerables
Authors: Reyes Mauro , Ibañez Martin María María , London Silvia
Published: May 2023

La pobreza energética se define como la carencia de satisfacción de servicios energéticos esenciales para la vida humana (falta de acceso, cantidad y calidad no solo de energía sino de equipamiento), y repercute sobre el nivel de bienestar y desarrollo humano de los miembros del hogar. Las tecnologías ejercen un rol central en los procesos de inclusión y cambio social. En este marco, la utilización de energías renovables es considerada una herramienta válida para aliviar la situación de pobreza energética y promover la inclusión de poblaciones vulnerables. En el presente artículo se presenta una propuesta de intervención para la satisfacción del servicio energético de agua caliente sanitaria en un barrio vulnerable de la ciudad de Bahía Blanca. Se detalla la tecnología a implementar, con sus beneficios, la población objetivo y la metodología propuesta para realizar un análisis de impacto a través de un experimento aleatorio. A su vez, se comentan las dificultades y cambios implementados en la aplicación de dicha tecnología debido a la pandemia por COVID-19. En los resultados preliminares socio-económicos se encuentra que la población objetivo evidencia múltiples privaciones y la dimensión energética es una de ellas. Por otro lado, se concluye que las estrategias individuales desarrolladas para la satisfacción de las necesidades energéticas son ineficientes, contaminantes e irregulares, mientras que los vecinos demuestran incentivos en participar de una propuesta ambientalmente amigable y de bajo costo.
Realidad virtual y su relacion con la demanda de reservas para la cadena hotelera inkaterra
Authors: Oyanguren Ramirez Ridder , Salas Roca Miriam Dalila
Published: May 2023

Esta investigación tuvo como objetivo determinar la relación entre la realidad virtual y la demanda de reservas de la Cadena Hotelera Inkaterra. El diseño es no experimental, de tipo correlacional y tiene un enfoque mixto. Para realizar la investigación se utilizó una muestra de 377 turistas extranjeros. Se utilizaron encuestas, cuyos datos fueron procesados empleando el software estadístico SPSS.

Se realizó un análisis descriptivo e inferencial, aplicando la Prueba de Normalidad de Kolgomoriv-Smirnov y luego la Prueba de Spearman, como resultado se pudo observar que entre la variable “Realidad Virtual” y la variable “Demanda de reservas” existe una relación muy alta de 0.969 como coeficiente de Spearman, con lo que se concluye que se acepta la Hipótesis de Investigación. La Realidad virtual se relaciona significativamente con la demanda de reservas para la cadena hotelera INKATERRA.
Manuscript Title: Maternal Mental Health in Sub-Saharan Africa: A Systematic Review of Interventions for Common Perinatal Mental Health Disorders
Authors: Marley Charles , Woodhead Sophie , Calia Clara , Guerra Cristóbal , Reid Corinne , Burke Joseph Patrick , Amos Action
Published: May 2023

Introduction Common Perinatal Mental Disorders affect women and
children across the world. Rates are high in sub-Saharan Africa, however
studies on interventions are limited. Highlighting existing and upcoming
practice to support maternal mental health services is imperative.
Method We conducted a systematic review, yielding a large array
of papers covering 32 low- and lower-middle income countries across
sub-Saharan Africa. No time limit was placed on publication and study
protocols and results papers were included. Results Twelve
articles from 8 different countries were included in our review; Gambia,
Ghana, Kenya, Malawi, Nigeria, Tanzania, Uganda and Zimbabwe. Most
interventions took a psychotherapeutic approach, two included a
pharmaceutical component. Half the studies detailed adapted approaches
to ensure cultural acceptance. Effectiveness was limited; 3 studies
showed a significant impact, only one of which had a large effect size.
Conclusion Evidence remains limited and efforts should be made to
support the implementation and generation of evidence in a wide variety
of countries and contexts. Task-shifting was a common approach, though
services were delivered at health facility level rather than in
communities. Scaling-up effective holistic approaches to maternal mental
health and child wellbeing remains an area of need.
Climate as a gatekeeper: Unexpected absence of Batrachochytrium salamandrivoran in an Asian Chytrid hotspot suggests a narrow climatic niche for Batrachochytrium salamandrivorans
Authors: Sun Dan , Ellepola Gajaba , Herath Jayampathi , Meegaskumbura Madhava
Published: May 2023

The chytrid fungal pathogens Batrachochytrium salamandrivorans
(Bsal) and B. dendrobatidis (Bd) are driving
amphibian extinctions and population declines worldwide. They are
thought to have originated in East/Southeast Asia, and hence Asia
remains crucial for understanding the ecology of these pathogens.
However, Bsal screening is relatively limited in this region,
particularly in hotspots where Bd lineage diversity is high. To
address this gap, we conducted an extensive survey across the Guangxi
region of Southern China, now considered a Bd hotspot. We
examined 1230 individuals from 38 amphibian species and 36 environmental
water bodies sampled during mostly the middle spring and summer months
of 2019-21. However, PCR testing revealed absence of Bsal in our
samples. A subsequent niche modeling analysis for Bsal suggested
that the bioclimatic conditions of much of the region may not be
conducive to Bsal. Although our findings show absence of
Bsal in the surveyed habitats, periodic monitoring in amphibians
is still needed, particularly across seasons. This is because
Bsal pathogenicity could increase at relatively lower
temperatures, and Bsal may be partitioning its niche with
Bd across seasons. Our results suggest that the climatic
conditions of the karstic Guangxi plains and perhaps competition from
other Bd lineages may suppress Bsal establishment in the
region. Our study provide interesting insights into Bsal niche
dynamics and the knowledge generated will facilitate the conservation
efforts in amphibian populations devastated by chytrid pathogens across
other regions of the world.
An initial possible hypothesis on the mechanism of tonic firing in Tonically Active Neurons
Authors: Mofidi Hossein , Sarbaz yashar , Golmohammadi Saeed
Published: May 2023

The brain is the most formidable part of the body, and researchers have
been delving deeply into this issue; however, many questions remain
intact. As for Tonically Active Neurons(TANs), they can be active
spontaneously without any synaptic inputs. This paper has set to
investigate this type of neurons to realize their unique behavior’s
mechanism more precisely. According to studies, it seems that there is a
possibility of association between biophotons and the in-vitro tonic
firing pattern of TANs. According to results, it seems that their
spontaneous firing arises due to existence of photoreceptors in TANs and
the possibility of their interpretation of emitted photons. To clarify
the proposed hypothesis about the mechanism of tonic firing of TANs with
regard to the available evidence, an electrical circuit has been
designed to model their in-vitro tonic firing. The TANs’ model has
simulated by MATLAB software, and results have compared with in-vitro
TANs’ spontaneous firing patterns. In this model we just modulated Na
density as the most common and efficient variable in making action
potential in order to evaluate a basic possibility of this association.
This paper is at the initial stage of this theory and required further
evaluations to be able to claim this theory as an actual fact. However,
this theory can widen our horizon in various aspects such as disorders
like Parkinson’s disease and mechanisms like circadian rhythm if the
proposed theory becomes validated at further studies when an ultimate
model for TANs has made and investigated in practice.
Una nota su uno schema di function-hiding Inner Product Encryption
Authors: Bernardini Daniele De , Sala Massimiliano
Published: May 2023

Ci sono molti algoritmi crittografici che permettono la ricerca su dati
cifrati senza decifrarli, ognuno con proprie caratteristiche di
applicabilità. Tra questi, ne abbiamo identificato uno interessante ma
pubblicato con notazioni difficili da seguire. In questa nostra nota ne
presentiamo una riscrittura di più agevole lettura.
Effect of Running Training on Growth Factors and Astrogliosis and Cell Injury of the Hippocampus in Stressed Rats
Authors: Safari Mohammad Amin , Jahromi Maryam koushkie , Aligholi Hadi , Rezai Rasoul , Abdollahi Mohammad Hasan , Brand Serge
Published: May 2023

The aim of this study was evaluating the effect of running training (RT)
on brain-derived neurotrophic factor (BDNF) and its receptor TrKB, glial
fibrillary acidic protein (GFAP), dark neurons and thickness of CA1 and
dentate gyrus (DG), corticosterone and spatial memory performance in
adult male rats exposed to chronic stress. Adult male wistar rats were
randomly assigned to five groups: RT; exposure to chronic mild stress
(CS); exposure to chronic mild stress followed by running training, (CS
+ RT), (CS + Recovery); control group. Findings indicated that the
lowest expression of GFAP, number of dark neurons and corticosterone
level, the highest thickness of CA1, DG, BDNF and TrKB and spatial
memory performance were observed in the RT group. In the CS + RT group,
expression of GFAP, the number of dark neurons and corticosterone level
were lower, while thickness of CA1 and DG, BDNF, TrKB and spatial memory
performance were higher compared to control and CS + Recovery. In the CS
group, the expression of GFAP, the number of dark neurons and
corticosterone level were highest and thickness of CA1 and DG, BDNF,
TrKB and spatial memory performance were lowest among the study groups.
In the CS + Recovery group, the expression of GFAP, the number of dark
neurons and corticosterone level were lower, compared to the CS group.
The study revealed that running training could attenuate the expression
of GFAP, the number of dark neurons, corticosterone level and improve
stress-induced reduction of BDNF, TrKB and spatial memory.
Automated Segmentation of Insect Anatomy from Micro-CT Images Using Deep Learning
Authors: Toulkeridou Evropi , Gutierrez Carlos , Baum Daniel , Doya Kenji , Economo Evan
Published: May 2023

Three-dimensional (3D) imaging, such as micro-computed tomography
(micro-CT), is increasingly being used by organismal biologists for
precise and comprehensive anatomical characterization. However, the
segmentation of anatomical structures remains a bottleneck in research,
often requiring tedious manual work. Here, we propose a pipeline for the
fully-automated segmentation of anatomical structures in micro-CT images
utilizing state-of-the-art deep learning methods, selecting the ant
brain as a test case. We implemented the U-Net architecture for 2D image
segmentation for our convolutional neural network (CNN), combined with
pixel-island detection. For training and validation of the network, we
assembled a dataset of semi-manually segmented brain images of 76 ant
species. The trained network predicted the brain area in ant images fast
and accurately; its performance tested on validation sets showed good
agreement between the prediction and the target, scoring 80%
Intersection over Union (IoU) and 90% Dice Coefficient (F1) accuracy.
While manual segmentation usually takes many hours for each brain, the
trained network takes only a few minutes. Furthermore, our network is
generalizable for segmenting the whole neural system in full-body scans,
and works in tests on distantly related and morphologically divergent
insects (e.g., fruit flies). The latter suggests that methods like the
one presented here generally apply across diverse taxa. Our method makes
the construction of segmented maps and the morphological quantification
of different species more efficient and scalable to large datasets, a
step toward a big data approach to organismal anatomy.
Research on the impact of Coastal Reclamation on geomorphological complexity and disasters prevent
Authors: Zhang Shixia , Zhang Zhenyu , Guo Huifang , Hong qiankun
Published: May 2023

Coastal reclamation can provide new space for agriculture, industry and
urbanization, as well as new investment opportunities in coastal areas.
As a result, both the length and proportion of artificial shoreline
increased significantly. Meanwhile, the complexity of coastal morphology
will be diminished by large-scale land reclamation. Although coastal
geomorphic characteristics has a crucial impact on tidal energy loss and
disaster prevention, little research has been conducted on the
relationship between the tidal range reduction rate and coastal
morphological complexity. This relationship is essential for predicting
the impact of coastal complexity changes caused by accelerated land
reclamation on tidal energy loss. Taking Hangzhou Bay and Zhoushan
Islands as the research objects, combined with fractal geometry theory
and quantitative assessment method of landscape complexity, the
correlation between coastal geomorphological complexity and tidal
distance reduction rate is analyzed, and A model based on the
correlation of the tidal range reduction rate and geomorphological
complexity is established. The model is applied to evaluate the effect
of reclamation in Zhoushan Islands on the landscape complexity and
dissipation of tidal energy. The results show that the tidal range
reduction rate is reduced with the decrease of fractal dimension and
shape index, indicating that the coastal geomorphologic complexity has
an important effect on tidal energy loss. The efficient control
indicators and scientific reclamation measures are discussed in this
paper. This study provides new ideas for the analysis of the
comprehensive impact of reclamation on coastal geomorphic
characteristics and disaster prevention, and can provide guidance for
the efficient utilization and protection of tidal flats.
Peripheral atherosclerosis evaluation through ultrasound: a promising diagnostic tool for coronary artery disease
Authors: Artyszuk Łukasz , Błażejowska Ewelina , Danielecka Zuzanna , Jurek Jonasz , Olek Ewa , Abramczyk Piotr
Published: May 2023

Effective treatment, but also proper diagnosis of cardiovascular
diseases, remains a major challenge in everyday practice. A quick, safe,
and economically acceptable non-invasive procedure should play a leading
role in cardiovascular risk assessment before invasive diagnostics is
performed. The staging of subclinical atherosclerosis may help in
further clinical decisions. Safe, widely available, and relatively
inexpensive, ultrasonography is a promising examination that should find
wider application in clinical practice. The latest ESC guidelines
emphasize the usefulness of carotid ultrasound in the diagnosis of
coronary artery disease (CAD) and subclinical assessment of
atherosclerosis, which help to determine the level of cardiovascular
risk. Ultrasound examination of peripheral arteries, especially
superficial vessels such as the femoral arteries, is quite easy, quick,
and accurate. Other vascular beds, such as iliac and renal, are more
demanding to examine, but can also provide valuable information. This
review summarizes important studies comparing the severity of
atherosclerosis in ultrasound-visible vascular beds in patients with
established CAD. We especially emphasize the benefits of the combined
assessment of atherosclerosis features, which were characterized by high
sensitivity and specificity in the diagnosis of CAD and other serious
cardiovascular diseases.