bluuebunny/crossref_metadata_2025 huggingface dataset:
Incorporating Community Partner Perspectives on eHealth Technology Data Sharing Practices for the California Early Psychosis Intervention Network: Qualitative Focus Group Study With a User-Centered Design Approach
Authors: Tully Laura M , Nye Kathleen E , Ereshefsky Sabrina , Tryon Valerie L , Hakusui Christopher Komei , Savill Mark , Niendam Tara A
Published: September 2023

Background

Increased use of eHealth technology and user data to drive early identification and intervention algorithms in early psychosis (EP) necessitates the implementation of ethical data use practices to increase user acceptability and trust.

Objective

First, the study explored EP community partner perspectives on data sharing best practices, including beliefs, attitudes, and preferences for ethical data sharing and how best to present end-user license agreements (EULAs). Second, we present a test case of adopting a user-centered design approach to develop a EULA protocol consistent with community partner perspectives and priorities.

Methods

We conducted an exploratory, qualitative, and focus group–based study exploring mental health data sharing and privacy preferences among individuals involved in delivering or receiving EP care within the California Early Psychosis Intervention Network. Key themes were identified through a content analysis of focus group transcripts. Additionally, we conducted workshops using a user-centered design approach to develop a EULA that addresses participant priorities.

Results

In total, 24 participants took part in the study (14 EP providers, 6 clients, and 4 family members). Participants reported being receptive to data sharing despite being acutely aware of widespread third-party sharing across digital domains, the risk of breaches, and motives hidden in the legal language of EULAs. Consequently, they reported feeling a loss of control and a lack of protection over their data. Participants indicated these concerns could be mitigated through user-level control for data sharing with third parties and an understandable, transparent EULA, including multiple presentation modalities, text at no more than an eighth-grade reading level, and a clear definition of key terms. These findings were successfully integrated into the development of a EULA and data opt-in process that resulted in 88.1% (421/478) of clients who reviewed the video agreeing to share data.

Conclusions

Many of the factors considered pertinent to informing data sharing practices in a mental health setting are consistent among clients, family members, and providers delivering or receiving EP care. These community partners’ priorities can be successfully incorporated into developing EULA practices that can lead to high voluntary data sharing rates.
Variation of Total Electron Content over Nepal during Geomagnetic Storms: GPS Observations
Authors: Silwal Ashok , Gautam Sujan Prasad , Poudel Prakash , Karki Monika , Chapagain Narayan P , Adhikari Binod
Published: September 2023

Geomagnetic storms have very profound effects on the Total Electron Content (TEC) of the ionosphere. In order to investigate the equatorial and low-latitude ionospheric response to the geomagnetic storms of varying intensities, a detailed study of vertical TEC (VTEC) variations resulting from Global Positioning System (GPS) data acquired at four GPS stations in Nepal along 80°–90° E longitude and 26°–30° N latitude sector has been carried out in the present work. The results were analyzed with other favorable inducing factors (solar wind parameters and geomagnetic indices) affecting TEC to constrain the causative factor. Positive phases are observed for all the storms studied. During the severe geomagnetic activity, the deviation was ~18 TECU, while it was recorded ~12 TECU and ~8 TECU during moderate and minor geomagnetic activity, respectively. The Detrended Cross-Correlation Analysis (DXA) illustrates that the value of the hourly average VTEC of the BESI station was found to have a strong positive correlation with other stations in all types of storm events, indicating a similar response of all stations towards the space weather events. In addition, the correlation of VTEC with solar wind parameters and geomagnetic indices illustrated that the VTEC shows a strong positive association with solar wind velocity (Vsw) in all three geomagnetic events. In contrast, the correlation of plasma density (Nsw), interplanetary magnetic field (IMF-Bz), the symmetric horizontal component of geomagnetic field (SYM-H), and Geomagnetic Auroral Electrojet (AE) index with VTEC vary with the intensity of the storm. Overall results of the study have revealed the characteristic features of TEC variation over Nepal regions during magnetic storms, which validates earlier research on ionospheric responses to geomagnetic storms and theoretical assumptions.
Fostering Engagement in Science with Escape Rooms
Authors: Giammatteo Lucila , Wrigley Richard Louis
Published: September 2023

This paper examines the implementation of escape rooms as an innovative instructional strategy in the science classroom to foster increased student motivation and engagement. By applying escape room concepts within the science curriculum, the aim is to create an engaging and dynamic learning environment that encourages active participation and critical thinking among students. The study involved 68 students from a year 10 (14-15 years old) group based on the British based IGCSE science curriculum. The immersive nature of escape rooms, coupled with the integration of scientific concepts and problem-solving tasks, provided students with a hands-on and collaborative approach to learning, promoting deeper understanding and knowledge retention. Additionally, this article discusses the potential challenges faced during the implementation of escape rooms and offers practical strategies for educators to overcome these obstacles. Overall, this research supports the use of escape rooms as a viable and engaging instructional tool in the science classroom, offering educators an innovative approach to foster student motivation, enhance learning outcomes, and cultivate a lifelong passion for scientific exploration. Further research is encouraged to explore the long-term effects of escape room implementation and its potential application in other academic disciplines.
Automatic Vehicle Accident Detection and Messaging System Using GSM and GPS Module
Authors: Hossain Imam , Islam Md. Shihabul , Sultana Rabeya , Latif Md. Abdul
Published: September 2023

Abstract: Our daily tasks are now simpler due to technological advances and infrastructure technological advances and infrastructures that are developing quickly. Road collisions, which incur significant destruction of life and assets, are on the rise daily as the number of vehicles grows. The World Health Organization's (WHO) study estimates that fifty million individuals are harmed and a total of 1.35 million individuals die each year in the world. The absence of medical help at the scene of an incident or the long response time during the rescue effort is the main causes of mortality. The majority of fatal accidents result from the lack of an appropriate medical facility at the scene. Most businesses now use various preinstalled smart sensing systems to monitor their cars' mechanical health and of already installed intelligent sensing systems to monitor their cars' mechanical health and to provide more individualized services to their valued clients. These systems also give clients access to vital smart recommendations enabling them to safely operate their cars them to operate their cars safely. We increase the security of the person by assessing their position while they are moving and keeping track of the cars by sending SMS by utilizing all of this preloaded smart monitoring equipment. With the help of the GSM module, our system would transmit the accident's precise location to the registered mobile numbers as well as the ambulance, the passengers' families, and the closest police station. The system that we propose in the automobile would first detect the accident using vibration detectors, and then detect the axial and latitudinal location of the site of the collision using GPS. Finally, it would determine the precise position of the car. In this study, an acceleration sensor can be employed as a vehicle rollover or crash detector both during and after a collision. A serious accident can be identified by keeping an eye on data collected by the accelerometer and vibration sensor. The major goal of this initiative is to reduce the amount of time it takes to get to the accident scene and deliver emergency medical care that can save lives. When an accident occurs in a remote place and no one is available to report it, this technique may prove to have been a lifeline. By responding quickly, emergency services can prevent an accident from happening and save a life. In this study, we looked at a number of articles about accidents detection devices and the effects of their use.
Automotive Lightweighting through novel Composite Materials
Authors: Date Digambar Dharmraj
Published: September 2023

Abstract: The weight saving demand for motorcars has come more important, since the increase in the environmental issues. For boosting the energy frugality, maintaining safety and performance of ultramodern motorcars; featherlight compound accoutrements are essential. For acceleration of a lighter object, lower energy is needed as compare to acceleration of heavier one; so the featherlight compound accoutrements offer the great eventuality for adding vehicles effectiveness. Using lighter accoutrements in bus manufacturing improves vehicle project, acceleration, and continuity. Featherlight accoutrements are essential for boosting the energy frugality of ultramodern buses while maintaining their safety and performance. Because it takes lower energy to accelerate a lighter auto than a heavier one, featherlight accoutrements offer more implicit for both automakers and bus buyers. Composite accoutrements, similar as aluminium, magnesium and sword composites, have been proven to have better energy immersion than solid essence similar as sword alone, and therefore give further protection upon impact. Not only are featherlight vehicles energy effective, but they also enhance performance. drop in energy consumption gain by reduction in vehicle weight. By replacing sword & cast iron conventional factors with featherlight compound accoutrements similar as Mg & Al essence matrix compound, carbon & glass fiber corroborated polymer mixes can directly reduce the weight of the corridor of an automotive i.e. machine block and lattice and results in reduction of energy consumption by the vehicle. It can reduce the exhaust emigration and enhanced the energy frugality. By the use of light mixes in automotive can also carry fresh advanced emigration control system, safety bias, and integrated electronic system without increase in the overall weight of vehicles.
Railway Waste Management
Authors: Raikwar Rajesh , Kalamkar Krushna , Kalbhor Aniket , Kakade Aryan , Kakade Dheeraj , Kakade Shantanu , Kakarwal Urmila
Published: September 2023

Abstract: A smart waste management system is of great necessity looking at the current increase in waste produced every year. This is a very unorganized sector where no such precautions are taken for proper waste disposal. Railways face difficulty in managing the waste produced inside the coaches. In order to help the government and protect nature from corrosive nonbiodegradable waste this waste management system was designed. In this project Arduino UNO was the main processor used along with sensors like inductive proximity sensor and soil moisture sensor. The main principle of the project was based on the information processed by the sensors and effective segregation of the waste individual bins to store the waste produced. A main support is placed which helps in holding the complete structure together
Design of the Measurement Tools for the SDGs in the Technology-Based Biotechnology Spin-Off Biohogar R&D
Authors: Chavez Angie Gineth Daza , Chavez Richard Marcelo Imbachi
Published: September 2023

Abstract: This article addresses the problem of the economic use of co-products or residues generated in coffee and cannabis crops in Cauca, Colombia. The impact on the social, productive, and economic contexts of the two productive chains is analyzed, highlighting the conditions of multidimensional poverty among coffee-growing families and the impact on the environment due to the generation of crop residues. A sustainable solution is presented through a technology-based Spin-Off company, Biohogar R&D, which transforms waste into bioconstruction materials, promoting sustainable development and compliance with the Sustainable Development Goals (SDG) and identifying their associated KPIs.
Comparative Analysis of Multistory Building of Conventional Slab and Grid Slab with Shear Wall and Bracings on Seismic Zone V
Authors: R Shilpa , E Raghu M
Published: September 2023

Abstract: In the present study, response spectrum analysis is performed on various structural configurations using ETABS software. The primary objective is to investigate the seismic behaviour and response of different models subjected to earthquake forces as per the IS 1893:2002 standard. The structural configurations considered are as follows: Regular Structure: A basic building model with a regular grid of columns and beams. Grid Slab: The regular structure with the addition of a grid-type concrete slab system. Grid Slab with Shear Wall: The grid slab model augmented with shear walls. Grid Slab with Bracings: The grid slab model equipped with diagonal bracings. In the present project G+10 building having 3m storey height is considered. By considering the medium soil. Here the seismic analysis is conducted for the seismic zone Ⅴ as per IS 1893:2002. The analysis focuses on evaluating displacement, story shear, and auto lateral loads under seismic conditions
Standardized, Enhanced and Robust Automated Fingerprint Recognition using CNN
Authors: Jayakrishnan Gautham , Nair Ashwin , Kumar Vishal Vinod , Suresh Dr.
Published: September 2023

Abstract: In recent years, biometric authentication systems have seen rapid development in various industries, and they continue to provide high security functions for access control systems. Many types of unimodal biometric authentication systems have been developed. However, these systems can only provide a low to moderate range of security features. Therefore, a combination of two or more unimodal biometrics (multiple modalities) is required to achieve higher security capabilities. To achieve higher accuracy, this article uses generalized probabilistic learning model algorithm for processing finger vein images. Image preprocessing is done with the help of finger vein image database to prepare it for further processes of feature extraction and matching. It then uses generalized probabilistic learning model algorithm to find the feature points. algorithm is used to match the features to obtain the image information and determines the final identity according to the sparse distribution. Compared with other machine learning methods for finger vein detection, the proposed method has a higher accuracy rate.
Multi Object Detection
Authors: Gollapalli Geetha Siva Srinivas , Thotakura Yaswanth Chowdary , Kasim Shalom Raja , Doppalapudi Kalyan Kumar
Published: September 2023

Abstract: In the realm of computer vision, the ability to accurately detect and comprehend objects within images and videos is of paramount importance. This research is dedicated to advancing the field of object detection, a critical component of computer vision, with a particular focus on leveraging Convolutional Neural Networks (CNNs) to enhance accuracy. CNNs have revolutionized object recognition tasks, outperforming traditional methods like Viola-Jones, SIFT, and HOG. The study explores the underlying architecture of CNNs, elucidating how convolution, pooling, and flattening layers enable efficient image processing and object identification. Object detection holds immense practical significance, spanning applications such as autonomous vehicles, surveillance, and medical imaging. By delving into the intricacies of CNNs and their role in object detection, this research contributes to the ongoing evolution of computer vision, promising advancements in diverse sectors of industry and technology.
Covid 19 Korkusunun Yaşam Bağlılığına Etkisinde Psikolojik Sağlamlığın Rolü
Authors: SOLAKUMUR Adem
Published: September 2023

Salgınlar geçmişte olduğu gibi günümüzde de insan yaşamını tehdit
etmeye devam ediyor. COVİD-19 da bu salgınlardan biri olarak, tüm yaşam
alanlarında maddi ve manevi olumsuz sonuçlar doğurmuştur. Salgın; bir
yandan bağışıklık sistemi zayıf olan insanların ölümüne neden olurken bir
yandan da korku, kaygı vb. durumları tetikleyerek psikolojik rahatsızlıklara
neden olmuştur. Bu süreçte insanların yaşamın güvenliğine dair güçlü inancı
ve yaşam bağlılığı derinden sarsılmıştır. Söz konusu sürecin izlerini her alanda
olduğu gibi spor alanında ve sporcularda da görmek mümkündür. Bu araştırma,
COVİD 19 korkusunun yaşam bağlılığına etkisinde psikolojik sağlamlığın
rolünü, sporcu örnekleminde incelemektedir. Araştırma, “Davranışsal
Bağışıklık Sistemi” ve “Psikolojik sermaye teorisi” ile temellendirilmiştir.
Araştırmada veri toplamak amacıyla “COVİD-19 Korkusu”, “Psikolojik
Sağlamlık” ve “Yaşam Bağlılığı” ölçekleri ile kişisel bilgi formu kullanılmıştır.
Veriler, basit seçkisiz örnekleme yöntemine göre; 2021-2022 sezonu aktif
olarak spora devam eden, 18 yaş ve üzeri, 145’ i kadın 258’ i erkek toplam 403
sporcudan elde edilmiştir. Çalışmada ilişkisel tarama modeli kullanılmıştır.
Değişkenler arası nedensel ilişkiler, IBM SPSS 24 ve AMOS eklentisinde
yapısal eşitlik modeli (YEM) oluşturularak test edilmiştir. Elde edilen
bulgulara göre, COVİD-19 korkusu yaşam bağlılığı ve psikolojik sağlamlığı
negatif yönlü; psikolojik sağlamlık ise yaşam bağlılığını pozitif yönlü ve
anlamlı olarak etkilemektedir. Ayrıca COVİD-19 korkusunun yaşam
bağlılığına etkisinde psikolojik sağlamlık düzenleyici rol oynamaktadır.
Buradan hareketle, COVİD-19 korkusu yüksek olduğunda bireylerin yaşam
bağlılığının azaldığını ve düzenleyici değişken psikolojik sağlamlığın COVİD19 korkusunun yaşam bağlılığına olan negatif yönlü etkisini anlamlı olarak
azalttığını söyleyebiliriz. Sonuç olarak; COVİD-19 vb. vakaların, yaşam
bağlılığına yönelik olumsuz etkilerini azaltmada psikolojik sağlamlığın rolü
dikkate alınmalıdır. Ayrıca, travmatik olaylardan daha az zararla çıkmak ve
hızlı bir şekilde toparlanma sürecine girebilmek için psikolojik sağlamlığı
destekleyici etkileri ortaya konulmuş olan spordan faydalanılması
önerilmektedir.
Serum Zonulin and Growth Differentiation Factor-15 levels support link between Coronary Artery Disease: The Liver-Heart Axis
Authors: Jasim Aliaa Ahmed , Ali Hanaa Addai , Kadhim Maha Mohammed , Al-haidari Ahmed Qasim , Al-Tu’ma Fadhil Jawad
Published: September 2023

Objectives: This study aimed to evaluate associations between serum zonulin and GSF-15 levels in coronary arteries with NAFLD patients and to study their correlations with different parameters.

Methods:  In this case-control study, 90 subjects were collected, consisting of 45 coronary artery disease with non-alcoholic fatty liver (Grade one) patients and 45 controls, Clinical demographic information, including family history of coronary disease, lifestyle factors including hypertension and diabetes, and certain blood parameters data (lipid profile, liver functions test).

Results: The patients' mean age was 55.64±8.462 years. Among all participants, 64(71.1%) were male and 26(28.9%) female. Zonulin, GDF-15, triglycerides, ALT, AST, ALP, and LDL levels were significantly higher in the patients (p≤0.001, p≤0.001, p=0.022, p≤0.001, p=0.035, p≤0.001, p≤0.001, respectively). In comparison to the controls, HDL and total cholesterol were considerably higher (p≤0.001 and p≤0.001).

Conclusion: Patients who suffer from non-alcoholic fatty liver disease and coronary arteries had higher levels of zonulin and GDF-15.
Study the Gene Expression of PIK3CA in Tissue and Blood Samples of Iraqi Patients with Colorectal Cancer
Authors: Azeez Rasha Abbas , Al-Jowari Suha Abdul-Khaliq , Mahmood Hayder Jamal
Published: September 2023

Objective: The primary objective of this investigation is to explore the correlation between gene expression of PIKCA3 and colorectal cancer in both tissue and blood samples, while also performing a comparative analysis between these sample types.

Methods: This research involved the collection of blood and tissue samples. The study was conducted at the Gastroenterology Hospital within the Medical City Department in Baghdad, Iraq, spanning from December 2021 to December 2022. A total of 80 volunteers, encompassing both genders and aged between 24 and 77, participated in the study. The Real Time qRT-PCR analysis method was employed to assess the expression of PIKCA3 genes within patient and control groups.

Results: The findings indicate significant distinctions in Ct PIK3CA between blood and tissue samples across all study groups. Moreover, PIK3CA expression displayed a notable association with CRC patients, showing higher expression levels compared to the other groups. This disparity was particularly pronounced when comparing tissue and blood samples. Statistical analysis, specifically Receiver Operating Characteristic (ROC) Curve Analysis, affirmed the excellent predictive capacity of the AUC (Area Under the Curve) value. The study established that PIK3CA gene expression in tissue outperformed that in blood, demonstrating a considerably elevated gene expression in tissue (p<0.001). Notably, the fold increase in gene expression within CRC patients was significantly higher compared to the group of healthy participants, with values of 23.630 in blood samples and 124.810 in tissue samples, respectively. The present study underscores the prevalence of PIK3CA gene mutations in colorectal carcinomas.

Conclusion: The frequent occurrence of PIK3CA gene mutations in colorectal carcinomas may hold promise for the development of targeted therapy combinations. These could involve inhibiting both the PI3K kinase itself and addressing associated pathway anomalies.
Investigation of Zoonotic Bacterial Pathogens Associated with Rodents in Rural Areas of Nellore, India
Authors: B. Vadela Manohar , Karri Satyanagalakshmi , Thathapudi Daveedu , Bogireddy Devi , Gundi Vijay A.K.B.
Published: September 2023

Rodent species are known to harbour and host various zoonotic pathogens, including bacterial, viral, fungal, and protozoal species. Several investigations proved that commensal rats (Rattus spp.) are potential to transmit drug-resistant and hyper-virulent bacterial pathogens to humans. India's rapid urbanization and developmental activities facilitated rats to live near the human population. However, few information was known about bacterial species associated with rodents and their role in zoonotic risk to humans in India. The present study aimed to (i) investigate the presence of bacterial pathogens associated with rodents and (ii) infer the prevalence and diversity of potential bacterial pathogens in Nellore district, India. Bacterial prevalence was determined by isolation and identification techniques. The isolated bacterial cultures were submitted for phenotypic observation, biochemical identification using the VITEK 2 compact automated system, and molecular detection by DNA extraction and amplification of the 16S rRNA gene. A diversified bacterial community belonging to 14 species was detected from all collected animals. Bacterial species' prevalence was comparatively higher in black rats (n=66) than brown rats (n=27). 46 rats out of 93 were found to be positive (49.4%) for bacterial presence. A significant variation was found in the prevalence of bacterial species between both rodent species. The highest bacterial prevalence was recorded for Bacillus spp. (36%) followed by E. coli (29%). The prevalence of Klebsiella pneumoniae was found as 17%, of which 18% in black rats and 14% in brown rats. Listeria spp.'s prevalence was 23.6%, but a higher prevalence was observed in black rats (25.7%). Surprisingly, an uncommon pathogen, Sphingomonas paucimobilis, was detected in both rodent species. These results suggest that Rattus rats in Nellore were suspected to be potential carriers of transmitting zoonotic bacterial species to humans.
BIOLOGIA E TEORIA DO DESIGN INTELIGENTE: PERCEPÇÕES E CONSIDERAÇÕES DE GRADUANDOS NO SUL FLUMINENSE
Authors: Viana Nicoly Faria , Carvalho Luciana Cristina do Carmo Silva
Published: September 2023

Questões de origem e complexidade da vida apresentam desafios a serem abordados no ensino de ciências, porém um novo campo de conflitos e ideias é trazido aos futuros profissionais biólogos e professores nestas temáticas: a teoria do design inteligente (TDI). A Teoria do Design Inteligente defende em seus estudos de padrões da natureza que uma mente inteligente é a melhor explicação conhecida para o Universo e a Vida. Contudo, apesar das suas observações favoráveis, ainda é alvo de muitas polêmicas sendo considerada por muitos autores e entidades como pseudociência e ‘criacionismo disfarçado’. Assim, o presente trabalho tem por objetivo avaliar as percepções e considerações dos graduandos do curso de ciências biológicas das universidades do Sul Fluminense acerca da Teoria do Design Inteligente (TDI). O estudo foi realizado através de formulário online no período de setembro a outubro de 2020 com alunos de ciências biológicas de oito instituições de ensino superior do Sul Fluminense. As respostas foram organizadas e trabalhadas estatisticamente através do software Microsoft Excel. Os dados obtidos demonstram que grande parcela dos estudantes neste estudo desconhecia a teoria do design inteligente, porém 70% dos entrevistados afirma que os estudantes de biologia precisam conhece-la. Os graduandos também, por fim, associam-na a um tipo de criacionismo e uma alternativa a teoria sintética da evolução. A pesquisa em foco apresenta-se como um diagnóstico inicial sobre a teoria do design inteligente no Sul Fluminense, explorando dados da educação particular e privada superior, porém é necessário que novas pesquisas sejam feitas para compreender como esta teoria tem avançado na região.
INDONESIAN TERRORISM PRISONERS’ TREATMENT: A CASE STUDY AT NUSAKAMBANGAN CLASS IIA CORRECTIONAL INSTOTUTION
Authors: Rinaldi Kasmanto , Rio Tutrianto
Published: September 2023

Proper and effective rehabilitation patterns for terrorist criminals remain a critical concern in Indonesian correction institutions. A thorough knowledge of extremism and terrorism remains a barrier to rehabilitation. Despite the significant loss of life resulting from the actions of the perpetrators, they maintain a conviction that their deeds are genuine and aligned with the principles espoused by Islam. The culprits' strong adherence to the imam's authority poses challenges to their willingness to consider perspectives that originate from their external groups. The results of this study showed that the pattern of rehabilitation that has been done has not been done to the fullest extent. This was found by using a qualitative approach and the case study method on the Nusakambangan correction institutions Class IIA, where data is collected through field observations and in-depth interviews with some key informants. The religious comprehension of incarcerated terrorists is deeply extremist. This is attributable, among other things, to the jail's poor quality of human resources in the rehabilitation process, the jail's lack of funds and supplies, and the convicts' inactivity in responding to government programs.
Adaptively exploring the feature space of flowsheets
Authors: Bubel Martin
Published: September 2023

Simulation and optimization of chemical flowsheets rely on the solution
of a large number of non-linear equations. Finding such solutions can be
supported by constructing machine-learning based surrogates, relating
features and outputs by simple, explicit functions. In order to generate
training data for those surrogates computationally efficiently, schemes
to adaptively sample the feature space are mandatory. In this article,
we present a novel family of utility functions to favor an adaptive,
Bayesian exploration of the feature space in order to identify regions
that are convergent, fulfill customized inequality constraints and are
Pareto-optimal with respect to conflicting objectives. The benefit is
illustrated by small toy-examples as well as by industrially relevant
chemical flowsheets.
ANALISIS KOMBINASI PAKAN TAMBAHAN TERHADAP PERTUMBUHAN UDANG VANAME (Litopenaeus vannamei)
Authors: Aisyah Putri , Sujarwanta Agus , Widowati Hening , Sutanto Agus , Sulistiani Widya Sartika
Published: September 2023

Abstrak: Budidaya udang vaname (Litopenaeus vannamei) di Indonesia semakin meningkat seiring dengan peningkatan ekspor udang. Peningkatan ini menyebabkan peningkatan budidaya udang vannamei secara intensif untuk memenuhi permintaan pasar. Salah satu upaya untuk meningkatkan produktivitas tambak udang di vaname adalah dengan meningkatkan kualitas nutrisi udang untuk meningkatkan pertumbuhan dan produktivitas. Tujuan dari penelitian melalui kajian literatur yaitu untuk mengetahui potensi pakan kombinasi bagi pertumbuhan udang vaname. Metode yang digunakan adalah deskriptif kualitatif dengan menggunakan kajian literatur dalam kajian artikel penelitian yang membahas tentang penambahan nutrisi, probiotik dan rempah untuk pertumbuhan udang. Berdasarkan hasil wawancara dengan petambak udang di Pasir Sakti Kabupaten Lampung Timur didapatkan kombinasi makanan pendamping yaitu petambak udang di Tambak B (Mina Bahari) menggunakan kombinasi makanan pendamping berupa probiotik dan rempah-rempah. EM4, tetes tebu/molase, ragi, mengkudu, bawang putih dan yakult. Di tambak C (Sido Makmur), petambak udang menggunakan kombinasi pakan yang terdiri dari EM4, tetes tebu, ragi, mengkudu, bawang putih, jahe, kunyit, susu skim dan yakult. Berdasarkan hasil kajian literatur, kombinasi probiotik dan rempah-rempah dapat meningkatkan nafsu makan dan imunitas udang, sehingga udang tahan penyakit dan dipercepat pertumbuhannya. 

Kata kunci : probiotik, rempah, pertumbuhan, udang vaname.

 

Abstrack: The cultivation of vannamei shrimp (Litopenaeus vannamei) in Indonesia is increasing along with the increase in shrimp exports. This increase led to an increase in vannamei shrimp cultivation intensively to meet market demand. One of the efforts to increase the productivity of shrimp ponds in vaname is to improve the quality of shrimp nutrition to increase growth and productivity. The purpose of this study was to determine the potential of combined feed for the growth of vannamei shrimp. The method used is descriptive qualitative using a literature review in the study of research articles that discuss the addition of nutrients, probiotics and spices for shrimp growth. Based on the results of interviews with shrimp farmers in Pasir Sakti, East Lampung Regency, a combination of complementary foods was obtained, namely shrimp farmers in Tambak B (Mina Bahari) using a combination of complementary foods in the form of probiotics and spices. EM4, molasses/molasses, yeast, noni, garlic and yakult. In pond C (Sido Makmur), shrimp farmers use a combination feed consisting of EM4, molasses, yeast, noni, garlic, ginger, turmeric, skim milk and Yakult. Based on the results of a literature review, the combination of probiotics and spices can increase shrimp appetite and immunity, so that shrimp are disease resistant and their growth is accelerated.

Keywords: probiotics, spices, growth, vanamei shrimp.
Analysis of the arachnophobia level based on contact with spiders and the Fear of Spiders Questionnaire
Authors: Kapustka Joanna , Zieliński Damian , Borowiec Patrycja , Gos Damian , Czupryna Wiktoria
Published: September 2023

Arachnophobia is one of the most common phobias in society. The study was based on an online survey and a stationary study. The questionnaire was completed by 364 respondents. In the first part the respondents determined their level of arachnophobia on the Likert scale (IOA, individual assessment of arachnophobia), and in the second part completed the Fear of Spiders Questionnaire (FSQ). Near 50% of respondents declared fear of spiders. There was a positive correlation between the FSQ results and IOA. In stationary study took part 7 women. Before the study, they completed the questionnaire from the first part of the study. During the study, the participants observed three spiders and the moult. Before, during, and after the study heart rate was measured. The mean score of the FSQ study was 103 and IOA scored between 5 to 7. The mean heart rate during contact with spiders was 113 bpm. Contact with spiders was a stressful situation, but the heart rate decreased just after 5 min.
Research on the path of high-quality development of tourism in Hainan based on international comparison
Authors: Li Jia
Published: September 2023

This paper analyzes the current situation of the development of tourism in Hainan and provides a new reference for the high-quality development of Hainan tourism. Firstly, the evaluation model and evaluation indexes of Hainan tourism high quality development based on a comprehensive evaluation method are constructed, the comprehensive index method is used to dimensionless process the data, and the entropy value method is used to conduct a comprehensive analysis of the quantitative relationship of selected indexes and the degree of variation to determine the index weights. Then the multi-objective linear weighting method is used to calculate the comprehensive level of Hainan tourism quality development. Then the regional difference characteristics of Hainan tourism quality development and the trend of tourism development time sequence evolution were analyzed, and finally, the path of Hainan tourism quality development was analyzed from multiple factors. On the regional difference characteristics, the northern and southern regions of Hainan have obvious advantages in terms of quality tourism development, with a comprehensive development index of 0.498 and 0.482 respectively, while the central region is relatively backward, with a development index of 0.364. The dynamics of industrial development in Hainan are relatively low, with slow and unstable growth, rising only from 0.0048 in 2013 to 0.0059 in 2018 and also showing a small downward trend in 2015 and 2016. This study has important implications for the high-quality development of tourism in Hainan.
Research and strategy of university education and teaching reform based on intelligent education platform
Authors: Zhang Juan
Published: September 2023

Exploring the path of college education and teaching reform is the way to improve the quality of college teaching and promote the development of college education. Based on big data technology, this paper proposes a wisdom education cloud platform, which is used to realize the comprehensive utilization of teaching resources for users. Based on the personalized teaching resource recommendation demand of users, a recommendation algorithm of high-order preference propagation based on a heterogeneous knowledge graph is jointly constructed by using a meta-path and knowledge graph based on a heterogeneous information network so as to realize the personalized recommendation of the platform to users and simulate and analyze the platform. In terms of platform performance, the random write and sequential write rates of the platform reach 4765 rows/s and 3218 rows/s, respectively, and the data transmission time is reduced by 68.35% and 69.35% compared with that of NetEase Cloud Classroom and Tencent Classroom, respectively. In terms of satisfaction, the platform in this paper has improved by 5.41% and 6.7% compared with NetEase Cloud Classroom and Tencent Classroom, respectively. This shows that the intelligent education cloud platform can be the exploration direction of education teaching reform in colleges and universities.
A study of Japanese language sense and evaluation based on the basic structure of sentence S-V-O
Authors: Li Xianrui
Published: September 2023

Linguistic sense is the ability to perceive language words directly, and the study of Japanese linguistic sense can provide a better understanding of the culture behind the Japanese language. By analyzing the combination of verbal information, intellectual skills, and cognitive strategies in a broad view of knowledge, this paper proposes a mental mechanism model of language sense based on adaptive control of thinking-rationality and formulates generative rules based on the intrinsic linkage of declarative and procedural knowledge. Based on the basic structure of sentence S-V-O, the structure of linguistic rules is generated, thus proposing a mechanism for the generation of the Japanese language sense. In terms of connectivity, the correlation between Japanese kanji vocabulary and Japanese culture is rated at 0.986, and the older generation even believes that there is a power of belief in Japanese kanji. In terms of linguistic deconstruction, the influence weight quartile range of lexemes in word sense evaluation was [66.4%, 73.6%], while the lower quartile of sentence prefixes and suffixes reached 78.2% and the upper quartile was located at 85.7%. The present study contributes further to the study of Japanese language evaluation by dismantling the mechanism of the Japanese language since production from a cognitive-psychological perspective, as language learning and cultural enhancement of understanding are essential.
A practical investigation of cultivating students’ art innovation ability based on word vector model
Authors: Liu Qingtian
Published: September 2023

In this paper, a multi-branch deep network architecture (JESF-MBF) based on joint embedded semantic features is proposed. In order to construct the structural consistency between visual image space and label semantic space, as well as to ensure the correspondence between sketch or image data and labels, the JESF-MBF model uses cross-entropy-based multivariate classification loss and cosine distance-based semantic similarity loss for model optimization. The optimized model improves the ability of label semantic information representation and image visual information representation, alleviates the discrepancy of data domain distribution between sketch and image, and constructs the mapping relationship between visual embedding space and semantic embedding space, so the sketch-based zero-sample image retrieval task is realized based on the intermediate medium. In the comparative model analysis, the average evaluation index of JESF-MBF is 0.412, better than that of Doodle2search at 0.344. In terms of the teaching effectiveness of the teaching platform constructed in this paper, the average time spent for the experimental class to complete each subject work is 9.4 class periods, while the average time required for the experimental class is 19.7 class periods. The results show that the art teaching platform based on the JESF-MBF model is very effective in terms of performance as well as improving the art level.
Research on environmental impact assessment of ecotourism development oriented to cloud model
Authors: Li Jingke
Published: September 2023

This paper calculates the index weights of ecotourism development environmental impact evaluation through AHP hierarchical analysis and constructs a cloud model of ecotourism development environmental impact evaluation by combining the research method of a cloud model so as to prepare for the subsequent example study of an ecotourism development environmental impact evaluation in Nanyang city. Secondly, the impact of tourism development and utilization on the quality of water bodies in the protected area is studied. In order to evaluate the impact of tourism development and utilization on water bodies in the area from various aspects, this paper analyzes the changes in water quality in the protected area from Space-time sequence. Then the above five characteristic parameters are substituted into the MATLAB software forward generator to get the ecotourism development environmental impact evaluation standard cloud model so as to derive the evaluation level of the ecotourism development environmental impact evaluation index located and summarize and analyze the impact of each index. The characteristic parameters of the cloud model are obtained: light impact (0.49.0.166,0.03), average impact (1.49,0.166,0.03), good impact (2.49,0.166.0.03), stronger impact (3.49,0.166,0.03), and strong impact (4.49,0.166,0.03), indicating that the cloud model-based method has the effect of resolving the ambiguity and randomness of comprehensive impact evaluation. This study makes the EIA process transparent and the expression of EIA results intuitive, which can better serve environmental decision-making and management.
Numerical simulation method of aluminum alloy heat treatment process based on BP neural network
Authors: Chen Xuewen
Published: September 2023

To address the shortcomings of the traditional BP neural network, this paper uses MEA to optimize the weights and thresholds in the traditional BP neural network, generates sufficient training samples to enhance the generalization ability of the model, and introduces a maturity judgment function to determine whether convergence is achieved. Based on the MEA-BP neural network, the effect of multiple aging on the microstructure of the aluminum alloy is investigated by numerical simulation method with the help of aging treatment to determine the heat treatment process of aluminum alloy. The results show that after the aging time exceeds 24 h, the hardness of the alloy tends to increase significantly, and the precipitation rate of the precipitated phase decreases. The peak hardness of the alloy at 75-120°C is the highest in the hardness curve at the fourth aging temperature of 90°C, which is maximum at the 7thh (119.4 HV). For the effect of the microstructure of the aluminum alloy, the T-phase was not found in the sweep diagrams of the specimens from the three aging states. This study can provide a theoretical basis and technical support for the formulation and optimization of the production process of aluminum alloy materials.
Research on the influence factors and improvement path of rural e-commerce development based on neural network
Authors: Zhao Qiao
Published: September 2023

This paper uses big data evaluation models to predict market trends with the goal of promoting rural e-commerce development. A closely integrated algorithmic trading framework is constructed, and strategic evaluation indicators are proposed in traditional indicators. By analyzing the current situation and problems of online marketing of agricultural products, a series of development strategies and safeguards are formulated, and suggestions are made to establish QR code traceability and highlight personalized product development. The results show that age has a greater influence on the development of agribusiness. 65.73% of the 20-35 year olds choose to be willing to buy and do so through the Internet, which is 53.40% higher than the average, and 59.09% of the under-20 year olds choose to be unclear but willing to know, which is 28.64% higher than the average. The data studied and analyzed in this paper are useful for predicting the sales trend of the rural e-commerce market and promoting the development of rural e-commerce development.
Bias detection and knowledge graph comparison analysis for medical record datasets
Authors: Yi Xiaoyu , Cheng Tian , Yu Wentao , Zhang Yanyan , Yi Mianzhu
Published: September 2023

In this paper, firstly, we study the reinforcement learning algorithm, which is a related technology of knowledge graph, and use reinforcement learning to structure the application framework of health care knowledge graph and construct the domain dictionary. And based on the BitLab21 dataset, entity relationship annotation is performed on the named entity recognition result set to realize entity relationship extraction of clinical electronic medical records. Then, the HacRED dataset is used to evaluate the deep learning model, and comparison tests and ablation experiments are conducted to verify the effectiveness of reinforcement learning for constructing knowledge graphs, respectively. Finally, a deviation monitoring method and a data feature extraction method for the case dataset are proposed, and a comparative study of different feature extraction methods is conducted to illustrate the advantages of feature fusion in distinguishing abnormal deviation patterns. All three features have relatively good recognition accuracy for normal patterns, which can reach 100%. The error curves perform well, and their training and testing errors converge very quickly to below 0.01 with less than 5 iterations and achieve nearly 100% recognition accuracy. Reinforcement learning-based knowledge mapping of case datasets and feature fusion-based data machine bias detection can improve the efficiency of medical detection.
A Study on College English Reading Teaching for Multimodal Teaching Model
Authors: Wang Wei , Zheng Yanyang , Li Yiran
Published: September 2023

In order to effectively improve college students’ English reading ability, this paper introduces multimodal teaching to analyze the way of teaching English reading in college. This paper firstly dismantles the multimodal teaching model, which is divided into multimodal teaching and the incorporation of the convolutional neural network, and analyzes the current situation of college English reading teaching. Secondly, we select the college English reading teaching modality, construct a multimodal fusion model for college English reading teaching and optimize this model to analyze the convergence and time complexity. Through the analysis of the fusion performance, we found that the accuracy and the pick-up degree of the pre-fusion increased by 22.25% and decreased by 18.22% compared with the unimodal fusion, and the number of participants increased by 61.51 Mb, which was not much different from the middle and late comparison, so the pre-fusion was selected to have the highest practicality. Finally, through the survey statistics on the application of multimodal teaching of college English reading, more than 80% of students and teachers think that multimodal teaching of college English reading can improve their English reading ability and teaching ability. So this teaching method improves their reading ability and enriches the diversity of teaching modes at the same time, which is worth promoting.
AdaBoost model-based rural governance co-integration and sharing mechanism
Authors: Zhang Yonghua
Published: September 2023

In this paper, we first study the implementation process of the AdaBoost model, initialize the weight distribution of training samples so that each sample weight is equal, then generate weak classifiers and calculate the minimum weighted error rate corresponding to each weak classifier, and then linearly combine the basic classifiers into strong classifiers by using weighted summation. Then the basic classifier weighting parameter calculation formula is improved by combining the characteristics of the logistics distribution function. Finally, the algorithm is used to analyze the rural governance willingness of river country residents, as well as to analyze the rural governance needs of rural residents at three levels: living conditions, public health and service facilities, to identify the types of rural governance, and to explore the rural governance patterns of different types of farm households. At the level of living conditions, farmers who wish to improve cooking fuel in 54 households, heating conditions in 61 households, bathing conditions in 40 households and family toilets in 53 households account for 43%, 49%, 32% and 42%, respectively. A total of 80 farming households, accounting for 29.41% of the research farming households, were optimized and upgraded, including 66 households in the key development area and 14 households in the production and living security area, accounting for 82.5% and 17.5% of the optimized and upgraded type, respectively. The research method of this paper has important references and reference significance for the construction of rural governance.