bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of a Training Program Using High-Intensity Interval Training on Several Physiological Variables Among Young Wrestlers
Authors: Ramadhan Taha Taha
Published: August 2024

This study aimed to examine the effects of a high-intensity interval training (HIIT) program on the physiological variables of young wrestlers. The significance of this study lies in its potential to identify effective training strategies to enhance the physiological capabilities of wrestlers, which are crucial for optimal performance. Despite the potential benefits of HIIT, research on its effects on young wrestlers is limited. The study utilized a pre- and post-test experimental design involving 14 young wrestlers from the Zakho Sports Club who were divided into control and experimental groups, each comprising seven wrestlers. The experimental group underwent a 9-week HIIT program, whereas the control group underwent a traditional training program. The physiological variables assessed included blood pressure, heart rate, lactic acid concentration, and anaerobic and aerobic powers. The results indicated significant improvements in the experimental group in terms of resting heart rate, heart rate after effort, lactic acid concentration, and aerobic power but not in blood pressure or anaerobic power. These findings confirm that HIIT can effectively enhance the physiological efficiency of young athletes and provide valuable methodological contributions to training programs for young wrestlers. This research demonstrates that HIIT effectively enhances athletes' physiological capacity and technical performance. This conclusion validates the idea that customized high-intensity and interval-based training can lead to substantial and advantageous physiological improvements in young wrestlers.
COVID-19 reshaped students’ perceptions of teaching excellence but not their evaluations of teaching
Authors: Rayner Gerard , Papakonstantinou Theo
Published: August 2024

Teaching excellence (TE) at the tertiary level has been extensively researched, with student perceptions of its frequency and the educator attributes that comprise it, increasingly important for student retention and learning, and institutional quality and benchmarking purposes. Despite its myriad of issues, student evaluation of teaching instruments (SETs) are the most commonly used proxies for TE. University students enrolled in medicine, nursing and health science courses were surveyed about TE-associated educator attributes before and after the COVID-19 pandemic. Students were also surveyed about the frequency of TE they experienced, and this was compared with metrics for associated unit SETs. Students’ 2022 perceptions of the frequency of TE were significantly lower than those for 2017, both overall and based on years of university study. Conversely, the mean 2022 SET was significantly higher than that of 2017, indicating a discordance between the perceived frequency of TE and SETs. Applying a framework with validated TE ‘themes’, we found a significant difference between pre- and post-pandemic values for the overall cohorts and non-first year students’ weightings of educator attributes that best describe TE. No such difference was found for first year students. These results strengthen calls for tertiary institutions to develop more authentic TE criteria, bespoke and dynamic SETs that more accurately reflect TE, and relevant educator professional development that will enhance students’ learning gain and overall university experience. The implementation of such initiatives will be increasingly important in a rapidly changing and more disrupted tertiary environment.
Transition workshops: A programmatic approach to supporting theory-to-practice in health education
Authors: Bissett Michelle , Roberts Melanie , Wilding Clare
Published: August 2024

Health graduates must competently apply theory in their practice, but this is challenging for students to learn. This study explored student experiences of a program-level curriculum design aimed at supporting theory-to-practice translation in occupational therapy. Annual ‘Transition Workshops’ targeted theoretical tenants of the program and supported students to transition their learning from one year to the next. The Transition Workshops were evaluated using pre- and post-workshop surveys and focus groups. There were 223 post-workshop surveys completed by student participants and four focus groups with 18 student participants. The quantitative survey data were analysed using Wilcoxon signed rank tests. Qualitative survey data were analysed using content analysis and group interview transcripts were inductively analysed using thematic analysis. Students conveyed that the Transition Workshops were beneficial and their perceived levels of theoretical knowledge, and confidence in applying that knowledge, increased after engaging in them. The workshops assisted students to transition their learning across the degree by providing opportunities to revise and prime for their next stage of learning, learn how to apply theory-into-practice, and build self-confidence for practice education learning within their degree. Transition Workshops, designed at a program-level, can be incorporated into curriculum to assist occupational therapy students to develop their theoretical knowledge and support theory-into-practice. This approach may be of value within other clinical and professional programs and that inclusion in university policy is required to guide academic practices.
Competencias profesionales en el Prácticum de Física-Matemática desde la perspectiva del estudiantado
Authors: Triminio-Zavala Carmen María , Martínez-Gimeno Almudena , Romero-Díaz Tonys
Published: August 2024

La formación práctica del estudiantado universitario es de gran relevancia para el desempeño profesional, personal y académico. En este proceso destaca particularmente el Prácticum por ser un momento de iniciación en la vida profesional, que se convierte así en una situación de aprendizaje, una experiencia personal y profesional al mismo tiempo que es un componente curricular más. La investigación es descriptiva y determina cómo los estudiantes (N=152) de la carrera Física-Matemática de FAREM-Estelí valoran el desarrollo de las competencias profesionales en sus procesos de vivencia en los escenarios de prácticas, recolectados a través de un cuestionario. Los resultados evidencian que las competencias profesionales que el estudiantado adquiere y desarrolla durante el Prácticum son las Competencias participativas y las Técnicas. Se concluye que la valoración de las Competencias Profesionales que potencia el Prácticum es positiva según el estudiantado, destacando con mayores valoraciones las Competencias Técnicas y las Participativas las menos valoradas como son la participación en ferias escolares, competencias escolares de la especialidad, incluyendo olimpiadas matemáticas o física.
Proceso de atención de enfermería aplicado al paciente pediátrico con neumonía grave: Caso clínico
Authors: Suárez Zenayda Aurora , Obando Téllez Pablo José , Solano Galeano Luz Marina , Valdez Oporta Maurinela Yashuara
Published: August 2024

En un entorno sanitario, se recopila información sobre la salud de una persona, los eventos que ocurren durante una enfermedad y los datos cruciales para diagnosticar, tratar y monitorear la evolución del paciente. El objetivo de este trabajo fue aplicar el Proceso de Atención de Enfermería (PAE) a un paciente pediátrico con neumonía grave. La información recopilada e interpretada fue esencial para diseñar planes de cuidado que abordaran sus necesidades de atención y contribuyeran a su recuperación. La neumonía es una patología urgente que afecta a la población infantil en todo el mundo. Para guiar la intervención, se utilizó la metodología del modelo de las 14 necesidades de Virginia Henderson para recopilar la información necesaria, evaluar la condición del paciente y reconocer las necesidades que debían abordarse de manera oportuna. Para ello, fue necesario aplicar la base teórica de la Asociación de Diagnósticos de Enfermería de América del Norte (NANDA), así como en las clasificaciones NOC (Resultados de Enfermería) y NIC (Intervenciones de Enfermería), los resultados del estudio evidencian el planteamiento de tres planes de cuidados estandarizados que dieron salida a las principales necesidades de atención. En conclusión, la aplicación del PAE fue fundamental para el manejo exitoso de la neumonía grave en este paciente pediátrico.
Sistem Informasi Pengarsipan Surat Masuk Dan Surat Keluar Di Ma Yafalah Berbasis Web Offline
Authors: Faizin Acmad Nur , Sujarwo Anton , Murdowo Sugeng
Published: August 2024

Pengarsipan Surat Masuk dan Surat Keluar Pada MA Yafalah Ginggangtani diawal masih mengguanakan buku surat masuk dan keluar sehingga dalam pencarian surat masuk atau keluar membutuhkan waktu cukup lama. Untuk itu diusulkan sebuah sistem berbasis website yang berfungsi untuk mengarsipkan surat masuk maupun keluar di lembaga pendidikan Ma Yafalah. Dengan sistem dapat menyimpan dokumen surat dalam bentuk foto. Dengan adanya sistem informasi dapat melakukan pengarsipan surat yang terkomputerisasi agar mempermudah pengarsipan dan pencarian kembali surat yang sudah diarsipkan.
K-Rail- An Opportunity in Disguise for Kerala
Authors:   Centre for National Security Studies, M S Ramaiah University of Applied Sciences, Bangalore, Karnataka, India, Prabhu Jairam R
Published: August 2024

Nordic countries are well known for their progressive socio-economic policies that are impactful in people’s lives. The state of Kerala is the closest example to have adopted it and established a social-democratic model known as the Kerala model. Despite having a high per-capita income, and minimal poverty, the state is infamous for its lack of industries, investment, and economic opportunities. The current issues such as the rising youth unemployment rate, lack of skilled jobs and reduced industrial growth are a result of the failed one-sided implementation of the Social Democratic model. A new opportunity is knocking at the doorstep of Kerala, i.e. the controversial K-Rail and Silverline Project. This project has the potential to change the way in which Kerala will be seen by the business community and utilise the change giving the utmost priority to wooing investors and fixing the economic pitfalls of the Kerala model. This article elaborates on the need to change the deficient model Kerala has been following and how K-Rail can fix that. Keywords KRail, Silverline Project, Kerala, Kerala Model, Social Democracy, High-Speed Rail, Investments
Explorando a gamificação – evidências globais e lusófonas
Authors: Nunes Carlos Francisco Oliveira , Parachen Gabriel , Freire Patrícia de Sá , Rigo João André , Silva Luciana Poli , Neves Amanda Lourenço
Published: August 2024

A gamificação tem ganhado destaque na literatura sobre educação e desenvolvimento de competências, sendo reconhecida por sua capacidade de engajar e motivar indivíduos em diversos contextos cognitivos. Este estudo é uma revisão de literatura com análise bibliométrica, cujo objetivo é discutir o conhecimento existente sobre a gamificação, mapeando o perfil e a abrangência das evidências disponíveis, com um enfoque especial nos países lusófonos. Os resultados indicam que a tríade PBL (pontos, emblemas e rankings) continua sendo o mecanismo de gamificação mais utilizado. Embora existam evidências de ganhos reais da gamificação em engajamento e motivação, não há comprovação de que esses efeitos sejam sustentáveis a médio e longo prazo. Este estudo destaca a necessidade de pesquisas longitudinais adicionais para avaliar a durabilidade dos benefícios da gamificação. Os achados também apontam para uma menor produção científica sobre gamificação nos países da Comunidade de Países de Língua Portuguesa (CPLP) em comparação com outras regiões, sugerindo um campo fértil para futuras investigações.
Uso da metodologia challenge-based learning na educação para o empreendedorismo
Authors: Castillo Leonardo Augusto Gómez , Sousa Joiciane Rodrigues de , Gómez Carla Regina Pasa , Paiva Júnior Fernando Gomes de
Published: August 2024

A educação para o empreendedorismo (EE) têm-se utilizado de metodologias de ensino inovadoras que promovam o engajamento de estudantes. Este estudo visa discutir a respeito da challenge-based learning (CBL) como metodologia dirigida para promover a EE a partir da disciplina Projetão, que é ministrada de modo colaborativo na Universidade Federal de Pernambuco (UFPE). A pesquisa tem-se um arcabouço metodológico descritivo-qualitativo com a aplicação de um roteiro de entrevista semiestruturado junto aos participantes dessa disciplina. Em relação a dinâmica de ensino-aprendizagem, os estudantes destacam pontos positivos como a interdisciplinaridade e pontos negativos como o processo de formação de equipe. A participação em Projetão têm possibilitado o aprimoramento de competências, como a atuação em equipe, comunicação, liderança e networking, além da predisposição no sentido de intencionar empreender no futuro. Portanto, práticas de ensino na EE que envolvam os estudantes com o mundo real proporcionam a formação de atores sociais capacitados e preparados para atuar na sociedade contemporânea.
A GENOME-WIDE ASSOCIATION STUDY IN A ROMANIAN LUNG CANCER COHORT IDENTIFIES MULTIPLE LOCI ASSOCIATED WITH SUSCEPTIBILITY TO RESPIRATORY TRACT INFECTIONS
Authors:   University of Medicine and Pharmacy ''Carol Davila'', Oncological Institute ''Prof. Dr. Al. Trestioreanu'',Bucharest, Romania, Matei Adrian , Iordache Paul-Daniel ,   'Prof. Dr. Th. Burghele'' Clinical Hospital, University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania, Mates Dana ,   National Institute of Public Health, Bucharest, Romania
Published: August 2024

Introduction: Lung cancer ranks first in the incidence of cancer deaths worldwide. Respiratory tract infection
complications appear often in patients with lung cancer and can ultimately be fatal.
Objectives: We aim to identify genetic markers associated with lung cancer susceptibility using a genome-wide
association study and evaluate the identified genetic markers in the context of associated lower respiratory tract infections
in the Romanian population.
Methods: The study cohort consisted of 1,092 unrelated histopathologically confirmed lung cancer (LC) cases and
1,073 control patients admitted for medical conditions, excluding cancer.
The DNA was extracted from buccal swab samples and analyzed by deCODE Genetics (Reykjavik, Iceland).
Results: We identified 49 unique variants from a systematic literature review for variants associated with LC using
the NHGRI catalog database. Nine tested variants in the Romanian genome-wide association study (GWAS) reached a
genome-wide significance (p-value lower than 5 × 10-8), and 34 markers reached p-values of 10-7. Six of the 49 previously
reported LC-associated SNPs replicated in the study cohort at a p 0.05 (rs1051530, rs8034191 at 15q25.1, rs2602141 at
15q15.3, rs31489, rs4975616, and rs401681 at 5p15.33) but with ORs for lung cancer generally smaller than the NHGRI
catalog reported data. A secondary association investigated the susceptibility to respiratory tract infections for individuals
carrying genetic markers previously known to be involved in LC oncogenetic processes.
Conclusions: We validated previously known lung cancer SNPs associated with lung cancer risk in the Romanian
population.
THE MICROBIOME IN OVARIAN CANCER - A NARRATIVE SYNTHESIS
OF THE PUBLISHED STUDIES
Authors:   1.Department of Oncology, Carol Davila UMPh, Bucharest, Romania
2.Department of Medical Oncology I, Institute of Oncology Prof. Dr. Al. Trestioreanu, Bucharest, Romania, Gheorghe Adelina-Silvana , Preda Madalina ,   1.Microbiol, Parasitol and Virol Discipline, Faculty of Midwives and Nursing, Carol Davila UMPh, Bucharest, Romania
2.Marius Nasta Institute of Pneumology, Bucharest, Romania, Dumitrescu Elena-Adriana ,   Department of Oncology, Carol Davila UMPh, Bucharest, Romania
Published: August 2024

This narrative review aims to evaluate the role of the microbiome in the pathogenesis, progression, and
treatment of ovarian cancer by analyzing published articles. We assessed various aspects of microbiome
research in ovarian cancer, including the tumor microenvironment, gut microbiota, and vaginal microbiota, as
well as the potential implications for diagnosis, prognosis, and therapeutics. The specialty literature reveals a
growing body of evidence supporting the role of the microbiome in ovarian cancer, with potential implications
for future clinical practice.
LIVE BIOTHERAPEUTIC PRODUCT AND CANCER IMMUNOTHERAPY
Authors:   Division of Medical Microbiology, Department of Infectious Diseases, Kyorin University School of Medicine Shinkawa Mitaka, Tokyo, Japan, Kamiya Shigeru
Published: August 2024

Probiotics are defined as ‘’live
microorganisms that, when administered in
adequate amounts, confer a health benefit
on the host’’ [1]. Compared to conventional
probiotics, novel beneficial effects on human
health by a wide range of microbial probiotics
have been reported, and such probiotics
are called as next-generation probiotics
(NGP), which are defined as ‘’new beneficial
probiotics different from classical probiotics
of Lactobacillus and Bifidobacterium’’ [2].
NGPs include various bacterial species such
as Faecalibacterium prausnitzii, Akkermansia
muciniphila, Bacteroides fragilis/Bacteroides
uniformis, Eubacterium hallii and cocktails of
Clostridium clusters IV and XIVa [2]. According
to the pharmaceutical application, NGPs
with novel therapeutic functions are termed
live biotherapeutic product (LBP) [3]. LBP is
defined as ‘’a biological product that contains
live organisms such as bacteria, and that is
applicable to the prevention, treatment, or cure
of a disease or condition of human beings’’.
O’Toole et al. [3] listed several candidates of
LBPs, and the biological functions targeted
various diseases of the 11 strains of 8 bacterial
species of Bacteroides xylanisolvens, Bacteroides
ovatus, Bacteroides dorei, B. fragilis, Bacteroides
acidifaciens, Clostridium butyricum, F. prausnitzii
and Lactococcus lactis were shown. In the list,
C. buryricum MIYAIRI588 strain was indicated
to be effective for various diseases, including
cancer, inflammation, and infectious diseases.
CHALLENGES IN DIAGNOSING AND TREATING RECURRENT URINARY
TRACT INFECTIONS: A COMPREHENSIVE CASE STUDY
Authors:   Carol Davila University of Medicine and Pharmacy, Bucharest, Romania, Hogea Mihai-Octav , Muntean Mădălina-Maria ,   Carol Davila University of Medicine and Pharmacy, Bucharest, Romania, Muntean Andrei-Alexandru ,   1.Cantacuzino National Military Medical Institute for Research and Development, Bucharest, Romania
2.Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
Published: August 2024

Urinary tract infections (UTIs) are among the most common bacterial infections, affecting patients from
the general population and those admitted in clinical settings. The gold standard for diagnosis is the urine
culture. Based on risk factors and patient characteristics, UTIs can be uncomplicated or complicated. The male
gender is among the risk factors associated with a complicated UTI. Recurrent UTIs pose a great medical and
economic burden as they are difficult to eradicate.
We present the case of a 91-year-old man who acquired a UTI following a prolonged hospital admission.
The patient has experienced recurrent UTIs in the past. The urine sample brought to the Cantacuzino Institute
presented more than one microorganism. However, a second sample delivered within 48 hours without specific
medical intervention showed a similar pattern. The dominant microorganism in the culture was identified as
Klebsiella pneumoniae, although 3 phenotypes were identified before antimicrobial susceptibility testing (AST)
was performed.
The AST results confirmed the presence of only one susceptibility profile among all 3 tested strains. The
patient has resumed antibiotic treatment while he awaits the preparation of an autovaccine provided by the
Cantacuzino Institute.
Pengaruh Dari Kepemimpinan Transformasional Terhadap Komitmen Organisasi Taruna Utama Prodi Manajemen Pemasyarakatan B
Authors: Dito Febriyolas  , Padmono Wibowo
Published: August 2024

Found that the relationship between transformational leadership and affective commitment is transmitted through perceived work impact. In this research, the population is cadets of the Correctional Science Polytechnic class 55 Correctional Management Study Program class B with a sample of 30 cadets.The method of collecting data for this study is to distribute questionnaire links or questionnaires using google form randomly which are then processed using SPSS v27 64Bit. the result is HO is rejected and there is a significant effect of variable x on y
Pengaruh Harga, Brand Image, Personal Branding, Dan Kualitas Pelayanan Terhadap Keputusan Pembelian Produk Batik
Authors: Khofifah Irnaza  , Ali Imron
Published: August 2024

This research aims to test, analyze and explain the influence of price, brand image, personal branding and service quality on decisions to purchase batik products at Batik Riziq Pekalongan partially and simultaneously. This research is a type of quantitative research. This research was conducted using a questionnaire to 100 respondents of Batik Riziq Pekalongan consumers. Sampling used non-probability sampling with purposive sampling technique. This research uses multiple linear regression analysis. The data that has been collected is processed using the SPSS version 25 program. The results obtained in the research show that partially price (X1), brand image (X2), and service quality (X4) each have an influence on purchasing decisions (Y), while partially personal branding (X3) has no effect on purchasing decisions (Y). Meanwhile, the results of simultaneous testing show that price (X1), brand image (X2), personal branding (X3) and service quality (X4) together influence the purchasing decision (Y) of batik products at Batik Riziq Pekalongan.
Understanding Taxpayer Behavior: A Qualitative Investigation into Compliance among Individual Taxpayers
Authors: Bilqis Tarwiyah
Published: August 2024

This study aims to explore the compliance s employed by individual taxpayers. The research adopts a descriptive research model to understand the intricacies of taxpayer behavior. A purposive sampling technique is utilized to select participants with diverse backgrounds and experiences in tax compliance. Data analysis involves thematic analysis to identify patterns and themes in taxpayer behavior. The findings shed light on the various strategies individuals employ to fulfill their tax obligations, providing insights into factors influencing compliance behavior.
Pelatihan Kepemimpinan dalam Kegiatan Organisasi Kemahasiswaan
Authors: Qonita Muslikhatun Amalia  , Wahyu Eko Pujianto
Published: August 2024

This community service initiative aims to enhance leadership skills among members of the organization, while also providing educational insights into the specific roles each member plays in advancing the Hima Management Study Program at Nahdlatul Ulama University Sidoarjo. The intended recipients of this program are the leaders and members of the Hima Management Study Program at Nahdlatul Ulama University Sidoarjo, totaling 30 participants. The methodology employed for this initiative involves a training approach that integrates educational components with interactive discussions. The outcomes of this initiative significantly contribute to fortifying the leadership acumen of both leaders and members within the Hima Prodi organization. This enhancement empowers them to effectively fulfill their roles and responsibilities, thereby upholding the organization's mission.
Pembinaan Karakter Kepemimpinan Generasi Muda Melalui Organisasi Karang Taruna di Desa Banjarpanji Kecamatan Tanggulangin Kabupaten Sidoarjo
Authors: Nadiyah Anggun Eka Wardani  , Wahyu Eko Pujianto
Published: August 2024

The aim of this research is to analyze the existence of organizational The aim of this research is to analyze the influence of developing the leadership character of the second generation through the organization. The objects of this research are youth organizations in Banjarpanji Village, Tanggulangin District, Sidoarjo Regency. The qualitative approach is used as a research method, and uses a type of qualitative descriptive research which involves information in the form of written and spoken words based on objects that have been observed. The results of this research include the village's ability to provide guidance to youth which is very necessary to increase the leadership and organizational potential of youth. This is very appropriate if the implications are implemented through the Karang Taruna organization as a very secure forum for young people. Apart from that, existing theories can also be adapted to field conditions. Basically, balanced collaboration will create sustainable positive forces that can help and have an impact on the entire development of village communities, through the role of the young generation. The younger generation will also be the next generation for the surrounding community to lead and bring about change.
Research on the Impact of Power Electronics in New Distribution Networks
Authors: Feng Zitong
Published: August 2024

With the massively distributed energy sources such as solar photovoltaics integrated into the power distribution network, the new generation of distribution systems exhibits significant features such as randomness and volatility. For this, it is necessary to study how to reduce the voltage disturbance of the new distribution system. The relevant research is carried out on the perception of the time distribution of voltage disturbance in the active distribution network and an equivalent circuit model of a new power distribution system is constructed in this paper. Using MATLAB to simulate the voltage disturbance caused by the output voltage of the solar panel after receiving different intensities of sunlight, and improve the relevant circuits. From this to the study voltage perturbations over time, and the regularity of the influence of improved voltage disturbance on the voltage of the node. Finally get the impact that power electronics can have on the distribution network.
An Overview of ADAS System Sensors in The Automotive Electronics Sector
Authors: Liu Junhao
Published: August 2024

ADAS systems are auxiliary devices designed to help drivers better control the vehicles, providing safer driving conditions or a more comfortable user experience. The perception of objects in the environment around the vehicles is an important function of the ADAS system. The automobile can use this function to warn impending dangers and alert the driver. The core of this technology is the sensor which has the ability to measure speed and distance. The most commonly used sensors include radar, lidar and camera. This paper focuses on three kinds of sensors: millimeter wave radar, laser radar and monocular vision camera, and explains their working principles on speed and distance measurement. By comparing with each other, the differences, strengths and weaknesses of the three sensors will be analyzed. Finally, their applications and prospects in automobiles are expounded to picture future research.
Design Of a High Gain Three-Stage CMOS Operational Amplifier for EEG Signal Processing
Authors: Feng Siyuan
Published: August 2024

Recently, research on brain science has led to rapid development in Electroencephalography (EEG) signal processing. However, it is really hard to capture, amplify and measure the EEG signals from the human brain during the signal acquisition and amplification. Therefore, this paper introduces a newly-designed high gain three-stage CMOS operational amplifier to measure and amplify the EEG signals precisely. The main circuit structure is built in CoolSpice with the TSMC 0.18um CMOS technology. During the simulation in CoolSpice, the open-loop DC gain reaches to 90.04dB and its power consumption is around 19.8 mW. With the help of the frequency compensation applied in the circuit, the bandwidth of the op-amp achieves to 363Hz, which is able to amplify all sorts of EEG signals and measure them, and the phase margin with the value of 177 degrees, making the circuit system stable. This three-stage op-amp makes its circuit system stable and avoids the unnecessary oscillations during the EEG signal amplification, which lead to a precise measurement on EEG signals and provide the precise diagnosis for the patients.
Roof Movement Characteristic and Pressure Relief Range Determination during the Lower Long-Distance Protective Seam Mining
Authors: Li Guangzeng , Yang Junpeng , Gao Zhongguo , Xin Yajun , Zhang Dongying , Gong Jiawei
Published: August 2024

Protective layer mining is an important technology for gas control, while long distance, the insufficient pressure relief, and borehole construction are the problems. It is important to clear roof movement laws and pressure relief range of the long-distance protective layer mining. By theoretical analysis and numerical calculation, the paper analyzed stress distribution laws and calculation formula of pressure relief range in the long-distance protective seam mining, and discussed the roof movement characteristics and pressure relief range during working face advancing in 9# seam. The results showed that any stress point in the protected seam underwent five stages with working face advancing of the protective seam: original rock stress - stress increasing - stress reduction - stress recovery - stability. With working face advancing, the pressure relief range of the protected seam constantly expanded, while the seam stress level did not reduce, and the stress began to recover with caving rock compacting, the stress in the protected seam showed the process from stress decreasing during rock movement to stress recovering during the compaction, and the maximum pressure relief of the protected seam was 13.7% of the original rock stress. In the pressure relief range, with the working face advancing, the maximum expansion deformation rate decreased gradually to 3.34‰. The effective protected range of seam 9 was 10~177m after the working face advancing. It was calculated that the pressure relief angles of seam 9 were 79°and 82°respectively after strike mining of seam 15. The upper pressure relief angle was 77°and the lower one 72°after dip mining. The research results provided a basis for gas extraction in long-distance protective layer mining.
Preparation Of Carbon Nanotube Transistors and Their Applications in Integrated Circuits
Authors: Wang Bowen
Published: August 2024

Carbon nanotube is nanoscale tubular structure composed of carbon atoms. It has been widely used in electronics, medicine, and environmental science, due to its excellent mechanical properties. Among them, the application of carbon nanotubes in transistors is a promising research direction. Therefore, exploring the preparation of carbon nanotube transistors and their applications in integrated circuits has become a hot research direction in recent years. This article focuses on the structure, preparation process, and various issues of carbon nanotube field-effect transistors. Burning and removal of metallic carbon nanotubes were discussed, as these impurities are generated Inevitably during the production process. Then the article introduces three methods of fabricating conductive channels. The last part of the article, the electrical properties of carbon nanotube field-effect transistors were reviewed. The superior electrical properties of carbon nanotubes are highlighted. In addition, the change in electrical properties caused by two types of deformation, axial deformation and rotational deformation are also discussed.
H_∞ Estimation of Nonlinear Time-Varying Systems with Data Packet Dropouts
Authors: Luo Zongjie , Yang Fan , Zhang Jinnan , Hou Nan , Li Weijian
Published: August 2024

This paper handles the finite-horizon  state estimator design issue for nonlinear time-varying systems under the effect of multiplicative noise and random data packet dropouts. Stochastic nonlinear function with known statistical properties is employed to depict the nonlinear intrinsic characteristics of real systems. The phenomenon of random data packet dropouts is characterized using a random variable following the Bernoulli distribution. Multiplicative noise is incorporated as well as additive process noise. Through the utilization of stochastic analysis, matrix computation and completing squares approach, a necessary and sufficient condition is proposed to ensure the existence of ideal estimators that satisfy the  performance requirement. The time-varying gain parameters of the estimators are derived by recursively solving a group of coupled backward Riccati difference equations. Correctness of the developed estimation approach is verified via a simulation example.
Nanomaterial Modified Perovskite Solar Cells: Black Phosphorus, 2D Perovskite Materials, And Quantum Dots.
Authors: Jia Meng
Published: August 2024

Perovskite solar cells have gained significant attention due to their high energy conversion efficiency, low cost, and excellent photovoltaic properties. The efficiency and stability of perovskite solar cells can be enhanced by the modification of novel materials which are in the light-absorbing, electron transport, and hole transport layers. Therefore, finding new materials with excellent photovoltaic properties and stable structures is crucial for improving the performances of perovskite solar cells. Black phosphorus, two-dimensional perovskite materials, and quantum dot materials are the research hotspots in recent years, all of which exhibit excellent properties. Using these materials to modify solar cells is an effective way to reinforce the performance of solar cells. This paper introduced these materials briefly. In addition, their applications in the electron transport layer, light-absorbing layer, and hole transport layer of perovskite solar cells were discussed. The impact of utilizing these materials on improving the stability of solar cells were discussed. This work pointed out promising research directions in this field. Exploring novel methods to solve the trap density problem will contribute to further study on this issue. In addition, it is considered that the properties of the hybrid 2D/3D perovskite materials should be explored. Attempting to improve the stability of quantum dot modified solar cells will also be an urgent issue to be addressed in the future.
Analysis of the Related Factors Influencing English Majors' Cheating in Exams based on SPSS
Authors: Chen Manna
Published: August 2024

Examinations are the main means of testing students' academic performance and evaluating the quality of school education and teaching. The purpose of the exam is to test the students' mastery of the knowledge learned at the current stage. The most important thing is to fairly and truthfully reflect the true level of students. Cheating among college students is no different from directly challenging the authority of exams and ignoring school discipline and behavioral norms, which is a manifestation of a lack of integrity and morality. In recent years, there have been varying degrees of cheating among college students in exams, which has had a very negative impact. This article uses questionnaire stars to conduct a sampling survey, and based on the provided data, uses SPSS software to conduct descriptive data analysis, correlation research, and regression analysis, in order to explore the relevant reasons that affect the occurrence of exam fraud among first to fourth year English major students in a certain university. Based on the analysis results, the author has put forward several suggestions to various parties to prevent students from cheating.
Graphene And Its Derivatives for Organic Solar Cells
Authors: Ma Xiaopeng
Published: August 2024

Organic solar cells (OSCs) have attracted extensive research interest due to the low-cost, flexibility, customizability, environmental friendly, and broad spectral response. Electrode materials are one of the key factors affecting the chemical performance of OSCs. Finding electrode materials with high photoelectric conversion and stable structure is crucial to promote the development of OSCs. Graphene is a two-dimensional material with special structure and excellent properties. It can be used as an electrode material or conductive additive for OSCs. The integrating of graphene derivatives has been proved to be an effective strategy to improve the performance of OSCs. Graphene oxide, reduced graphene oxide, and functionalized graphene are contribute to increase the photovoltaic conversion efficiency, enhance light absorption, and improve the carrier transport. In this paper, OSCs and graphene are introduced firstly. The latest progresses in the research of OSCs and graphene are summarized respectively. In addtion, applications of graphene and its derivatives are discussed in OSCs. The preparation methods of electrodes are discussed. The photoelectric conversion rate and electrode stability of these OSCs are enhanced significantly. Finally, the challenges and future directions of graphene in OSCs are summarized. The current problems of graphene, such as the integrity of graphene, scalability, and cost-effectiveness, are presented. Developing novel graphene derivatives, exploring applications of graphene hybird with other materials, and improving the preparation process of graphene will help to promote the development of this field.
Comparative Application Research of Wind Energy and Solar Energy
Authors: Song Zhuo
Published: August 2024

The global demand for energy is increasing, promoting the development and utilization of renewable energy. Wind and solar power, as green energy sources, provide fossil fuel alternatives for climate change mitigation. In this paper, the principles, technological progress, environmental benefits and challenges of wind farms and solar photovoltaic plants, as well as their important role in modern energy systems, are studied. This paper presents a comprehensive comparison of wind and solar energy, focusing on three key aspects of cost, efficiency and environmental impact. Comparisons include the initial and ongoing costs associated with establishing and maintaining each energy system, the efficiency of converting natural resources into available electricity, and environmental impacts, including potential disruption to local ecosystems and land use considerations. Based on the findings of this paper, it proposes targeted improvements designed to improve the overall performance of these two renewable energy technologies, laying a solid foundation for future sustainable development.
Optimized design of hardware accelerator based on machine learning
Authors: Liu Jixuan
Published: August 2024

Hardware accelerators are playing an increasingly important role in the field of computer science and engineering, especially in accelerating deep learning and large-scale data processing. However, the traditional hardware accelerator design often relies on manual adjustment and experience accumulation, which is inefficient. Therefore, the use of machine learning technology to optimize hardware accelerator design has become a new trend. In this paper, a hardware accelerator optimization design method based on machine learning is proposed, including hardware design, algorithm optimization, system-level optimization, and deep learning model compression. Through the research and verification of the actual case, this research proves the effectiveness and feasibility of the hardware accelerator optimization design method based on machine learning. Compared with the traditional design method, this method can find better design scheme in shorter time and has higher performance prediction accuracy. Therefore, this method can significantly improve the design efficiency and performance of hardware accelerators. The results of this study are of great significance for promoting the development of hardware accelerator technology. It can promote scientific research and engineering applications in related fields to make greater progress, and promote the development of artificial intelligence, big data processing and other fields.
Development And Applications of Fiber Bragg Grating Accelerometers
Authors: Zhang Jiarui
Published: August 2024

Over the past few years, Fiber Bragg Grating (FBG) accelerometers have seen rapid growth due to their inherent properties, including magnetic immunity and high sensitivity, leading to their increased deployment in environments with extreme conditions or as improved alternatives to traditional sensors. In this article, the development of FBG accelerometers is discussed from three distinct perspectives: low-frequency sensors, high-frequency sensors, and multi-dimensional sensors, highlighting advancements made in recent years. The text also delves into the application domains of such sensors and offers a projection for future developments. It is forecasted that FBG accelerometers will maintain their current trajectory of advancement over the coming years, with more scholars anticipated to propose novel sensor designs based on different structures, either improving upon existing ones or integrating them with other forms of sensing technology. Notably, these sensors are not only expected to find further applications in sectors such as oil exploration and seismic monitoring but are also likely to experience expanded use in aerospace and other specialized domains.
Empirical Study and Mitigation Methods of Bias in LLM-Based Robots
Authors: Zhou Ren
Published: August 2024

Our study provides a comprehensive analysis of biased behaviors exhibited by robots utilizing large language models (LLMs) in real-world applications, focusing on five experimental scenarios: customer service, education, healthcare, recruitment, and social interaction. The analysis reveals significant differences in user experiences based on race, health status, work experience, and social status. For instance, the average satisfaction score for white customers is 4.2, compared to 3.5 for black customers, and the response accuracy for white students is 92%, versus 85% for black students. To address these biases, we propose several mitigation methods, including data resampling, model regularization, post-processing techniques, diversity assessment, and user feedback mechanisms. These methods aim to enhance the fairness and inclusivity of robotic systems, promoting healthy human-robot interactions. By combining our quantitative data analysis with existing research, we affirm the importance of bias detection and mitigation, and propose various improvement strategies. Future research should further explore data balancing strategies, fairness-constrained models, real-time monitoring and adjustment mechanisms, and cross-domain studies to comprehensively evaluate and improve the performance of LLM-based robotic systems across various tasks.
Simulation Analysis of ECG Denoising Based on Common Mode Feedback Technology
Authors: Hu Hongye
Published: August 2024

In the global health field, cardiovascular disease has become a major public health problem, early and accurate diagnosis is critical to saving lives, and electrocardiogram (ECG) as a widely used non-invasive diagnostic tool, its signal quality directly affects the diagnostic accuracy. However, the actual ECG signal acquisition is often affected by the internal noise of the organism, the thermal noise of the equipment and the electromagnetic interference of the environment, which leads to the deterioration of signal quality. Therefore, this study focuses on effective methods to suppress the noise of human ECG signals, especially a noise reduction solution based on common mode feedback technology is proposed. In this paper, the importance of ECG signal and the problem of its susceptibility to noise are discussed, which highlights the urgency of using circuit noise reduction technology. Then, the principle of common-mode feedback technology is analyzed deeply, and its superiority in eliminating common-mode noise and enhancing signal-to-noise ratio is revealed. By establishing a simulation model, the differential noise reduction circuit based on load current mirror is simulated by Coolspice software, and the effect of ECG signal noise reduction under simulated noise environment is simulated. The simulation results show that the noise component in ECG signal can be significantly reduced and the signal quality can be effectively improved by using the load current mirror to provide a more accurate and reliable basis for the subsequent ECG data analysis.
Application Of High Bandwidth Two-Stage Amplifier in Communication System
Authors: Zhu Yilei
Published: August 2024

With the rapid development of communication technology, the application of high-bandwidth amplifiers in communication systems becomes more and more important. Currently researchers have applied high bandwidth two-stage amplifier technology in many fields such as cloud computing and data centers, video and audio transmission, virtual reality and augmented reality, Internet of Things, financial transactions, etc., and in this paper we will focus on its application in communication systems. In this paper, the basic principle and structure of two-stage amplifier are firstly described, and then the key theories of high-bandwidth technology including its concept, importance, principle and core technology of high-bandwidth design technology as well as stability analysis and design are elaborated, and the applications of high-bandwidth two-stage amplifiers in wireless communication system, fiber optic communication system, data center network, and satellite communication are enumerated. In summary, high-bandwidth two-stage amplifiers play a key role in a variety of communication systems, helping to provide stable, high-speed, long-range signal transmission. Through the research of this thesis, it is expected to provide new references and ideas for the research and development in the field of communication technology, and to promote the progress and innovation of communication system.
Comparative Analysis of Structure and Motion of Vision Logistics Robotic Arms
Authors: Guo Hongyang
Published: August 2024

This paper combines visual recognition and robotic arm, optimizes the design of robotic arm structure, and researches the logistics robotic arm with six degrees of freedom and visual perception ability to enrich the logistics robotic use scene. Firstly, the visual recognition system is installed on the existing six-degree-of-freedom robotic arm, and the coordinate system is established by the light bar recognition method combined with the D-H parameter method. Secondly, a kinematic simulation model was established by using MATLAB, and the state of the joints was analyzed by using forward and inverse kinematic simulation and fifth degree polynomial interpolation. Finally, the actual logistics fixed-point transportation task is designed for trajectory planning. The results show that the robotic arm is able to be able to perform different grasping tasks in non-structural environments, around the visual analysis of the robotic arm as well as the optimization of the motion track, to enhance the efficiency of the comprehensive use of visual and tactile information, to improve the adaptability of the robotic hand grasping, and to be able to meet the precise control of the pick-up process and the use of the realization of the payload grasping and dexterous movement. The research in this paper provides a certain reference value for the propulsion robot arm to perform intelligent grasping tasks.