bluuebunny/crossref_metadata_2025 huggingface dataset:
Predictive Analysis of Student Stress Level using Machine Learning
Authors: Dr. J V Gorabal  , Mr. Vipul Y S  , Mr. Yashas S Bharadwaj  , Mr. Mohammed Anas  , Mr. Mohammed Nehad Ameem
Published: May 2023

1. College students are suffering from many mental health problems including mental stress, somatization, obsessive, interpersonal sensitivity, depression, anxiety, hostility, fear, paranoia and psychosis, which can bring a lot of negative effects to them.
2. Obviously, the mental health problems of college students not only directly affect their own growth, but also affect the stability of the campus. Colleges increasingly prioritize monitoring and preventing students' psychological crises.
3. All Colleges simply analyze whether students have mental health problems or what kind of problems they have. It fails to uncover underlying relationships within psychological data.
4. We require a comprehensive system to address student mental health concerns, with a specific focus on predicting and managing student stress.
5. There are so many factors related to stress such as work load, assignments, family issues, friends issues, attendance, teaching etc...
6. Machine learning is a subject to predict future based on the past data. By leveraging machine learning techniques, we can accurately predict student stress levels. Furthermore, our proposed system will provide personalized suggestions based on these stress levels
Analysis of motor competence and physical fitness in dancers: a pilot study
Authors: Alves Daniela , Clemente Filipe Manuel , Gonçalves Carla , Lagoa Maria João , Filipa Silva Ana
Published: May 2023

Purpose

The aim of this study was to characterize and compare the motor competence and physical fitness in dancers of different styles considering age, body mass index, and physical activity level (min/week).

Methods

Overall, 17 female dancers aged 13–31 years (18.00 ± 4.80) participated in this study. The sample was divided into 2 groups: (1) dancers who practised up to 3 styles (n = 10); (2) dancers who practised 4 or more styles (n = 7). The Fit School and Motor Competence Assessment test batteries were applied to analyse physical fitness and motor competence, respectively. All variables were tested for normal distribution by using the Shapiro-Wilk test. For continuous variables, the t-test was used and for nominal variables, the chi-square test was employed. For those that did not follow normal distribution, the Mann-Whitney U-test was applied.

Results

For either motor competence or physical fitness, the number of dance styles did not exert any influence. Furthermore, no significant differences were found for between-group comparisons.

Conclusions

The total group fell within the average reference values in all the physical fitness tests, with the exception of the 20-m multistage maximum shuttle run test. With regard to the number of dance styles practised, no differences between groups were observed for either motor competence or physical fitness.
Efficient Implementation of Tanh: A Comparative Study of New Results
Authors: Sorayaasa Samira , Ahmadi Majid
Published: May 2023

Hyperbolic tangent (Tanh) activation function is used in multilayered artificial neural networks (ANN). This activation function contains exponential and division terms in its expressions which makes its accurate digital implementation difficult. In this paper we present two different approximation techniques for digital implementation of Tanh function using power of two and coordinate rotation digital computer (CORDIC) methods. A comparative study of both techniques in terms of accuracy of their approximations in hardware costs as well as their speed when implemented on FPGA is also explained
Role of Image Processing in Dentistry – A Systematic Review
Authors: A Ramyaalakshmi , S Poonguzhali
Published: May 2023

Image Processing plays an important role in many industries. One of those is 'Dentistry'. Image processing is always of great help to all dentists and clinicians for detecting and diagnosing the disease. To identify appropriate treatment the digital dental image must have better contrast of features. Usually, a dental image process is a tedious process and also a time-dragging process because normally human teeth are uneven and non-structural. Moreover, the X-ray images vary due to intensity, noise and contrast leading to more challenges in employing image processing. A dental X-ray is always pre-processed to give a good contrast image. To evaluate the dental disease, segmentation of image features plays a vital role. This paper reviews the image processing techniques, its features along with their applications and gives the comparative study about how the techniques are used.
An Intelligent Program to Monitor 3D Printing and Detect Failures using Computer Vision and Machine Learning
Authors: Li Christine , Zhang Yujia
Published: May 2023

This paper proposes a novel solution for tracking the 3D printing process using an application that provides users with real-time updates on its progress [1]. The approach involves taking pictures of the 3D printer during the printing process, which are then analyzed by an AI model trained on thousands of labeled images to detect print failures [2]. The system is implemented using a Raspberry Pi and a camera, which capture images of the 3D printer and upload them to an online database [3]. The proposed application accesses this database to keep the user informed of the printer's current state, ensuring a seamless printing experience.
A Data-Driven Application for Matching Student Traits with Learning Opportunities using Artificial Intelligence
Authors: You Chongda , Park Andrew
Published: May 2023

It is often limited to students the opportunities they can get to apply their knowledge and learn new things, as different opportunities have vastly different ways of advertising. Just like the students, many organizations are looking for passionate students to apply their knowledge and energy to benefit society [2]. To solve this problem and ease the difficulties in finding the right opportunities, Maclever aims to be a place where all organizations can post their opportunities for students, and students can use the artificial intelligence-based feature in this application to find opportunities that best fit their skills. Maclever aims to be a simple and effective connection between organizations and students [3]. Leveraging tools such as sentiment analysis and utilizing models based on user behaviors and preferences to better match valuable connections allows us to create a system that gives us a much stronger ability to address the goals Maclevers sets out to solve.
A Powerful Chrome Extension: Translation Program using Python, Website Analysis and Google Firebase Services
Authors: Zhao Tongde , Tran Khoa
Published: May 2023

The last few decades have seen a remarkable development technological wise in order to provide understanding between people with different language backgrounds. This paper develops a Chrome Extension that scans texts on a website and discovers unfamiliar English words to its users, then translates those words and displays their meanings onto their computer screens. Using Python with Flask framework and Google Firebase as a backend means, this Chrome Extension can be downloaded on any Chrome Browser and provide definitions to difficult words on websites that users want to get translated. The extension is useful to those who are having a hard time understanding difficult English vocabulary. In the experiment, the application has shown to detect 95 to 98% of the difficult words users are struggling with, with the speed of 10 minutes for documents that have more than 2000 words. The results show that the application provides adequate predictions for most users. For this application, I took data reliability, usability, and web-scrapping into consideration. The extension required ample reliable data, user-friendly interface, and a stable Internet browser for usage.
Text Generation with GAN Networks using Feedback Score
Authors: Kuznetsov Dmitrii
Published: May 2023

Text generation using GAN networks is becoming more effective but still requires new approaches to achieve stable training and controlled output. Applying feedback score to control text generation is one of the most important topics in NLP nowadays. Feedback or response is a natural part of conversations and not only consists of words, but also can take other shapes such as emotions, or other reactions. In dialogue processes feedback is a factor influencing the next phrase or reaction. Depending on this feedback or response we correct our possible answers by trying to change the tone, context, or even structure of the sentences. Applying feedback as part of the GAN model structure will give us new ways to apply feedback and generate well-controlled outputs with defined scores which is very important in realworld applications and systems. With GAN networks and their instability in training and unique architecture, it becomes trickier and requires new ways of solving this problem. The matter of feedback usages for text generation task using GAN networks we will review in this paper and experiment with integrating score values into GAN's generator model layers.
Teaching and Learning with ICT Tools: Issues and Challenges
Authors: Kaur Kamaljit
Published: May 2023

The students nowadays are more friendly with tech devices. So, to make it less boring need to start innovative ways that involve technology. Teaching via ICT tools have the potential to make a change in the academic sector. It is a dynamic learning method. It provides more benefits as compared to the traditional blackboard and chalks learning. The whole process of education can sometimes feel tedious for students. In this digital era, ICT use in the classroom is important for giving students opportunities to learn and apply the required 21st century skills. Hence studying the issues and challenges related to ICT use in teaching and learning can assist teachers in overcoming the obstacles and become successful technology users. With the advent of Information and Communications Technologies (ICT) in education, teachers form their own beliefs about the role of ICT as a teaching tool, the value of ICT for student learning outcomes and their own personal confidence and competency. Barriers exist in integrating ICT in teaching and learning. The barriers are extrinsic to the teacher and include lack of resources, time, access and technical support.
Research and Practice of a Blended Teaching Mode based on Small Private Online Courses Under an Informatization Background
Authors: Li Yan , Lu Zhuoqun , Liu Heyun
Published: May 2023

With the continuous development of information technologies, the pace of education informatizationis accelerating increasingly. The traditional classroom-teaching mode cannot fully meet students’learningdemands. Due to the emergence of new teaching forms in the post-pandemic era, rapid development of ITapplications, national education-informatization policies and deployment, and the plight of the traditional teaching mode, there is a need to explore new ideas and patterns of integrating information technologies and teaching approaches. With the course of Heat Transfer as an example, this study expounds a blendedteaching mode based on small private online courses (SPOC) on course aims, teaching contents, teachingmethods, and evaluation approaches under the background of informatization. The results showthat this teaching model can enhance students' learning ef ect and comprehensive ability ef ectively. The rules of blended teaching were explored to guide teaching improvement.
Molecular Characterization of Lactic Acid Producing Bacteria Isolated from Tiger nut (Cyperus esculentus L) tuber and Soybean (Glycine max L) seeds
Authors: M. A. Abu , E. R. Amakoromo , O. C. Eruteya
Published: May 2023

Lactic acid-producing bacteria (LAB) are a diverse group of bacteria which play a crucial role in fermentation processes. They produce lactic acid a primary product of fermentation, by exploiting food substances like carbohydrates proteins and lipids, leading to the production of secondary metabolites such as alcohols, aldehydes, acids, esters and Sulphur. The aim of this study was to characterize lactic acid bacterial isolated from tiger nut tubers (Cyperus esculentus L) and soybean seeds (Glycine max L), using 16S rRNA gene. Lactic acid production was determined by titrimetric method from 0 to 48h. Four of the ten isolates, identified as: Lactobacillus plantarum strain AMA2A, L. fermentum strain AMA5, L. buchneri strain AMA11 and L. plantarum strain AMA14 produced percentage lactic acid of 1.27, 0.93, 0.86 and 0.92 respectively after 48h. This study has demonstrated that the lactic acid producing bacteria namely: Lactobacillus plantarum AMA2A, Lactobacillus fermentum AMA5, Lactobacillus buchneri AMA11 and Lactobacillus plantarum AMA14 could be isolated from tiger nut and soybean since these substrates contain sufficient ingredients or nutrients which serve as enabling environments for their proliferation
Approach of the Health care providers towards COVID-19; Three months of Pandemic, Where do we stand now.
Authors: Mushtaq Hina , Maria Khan  , Imran Khan  , Hameed Mehreen , Muhammad Amir  , Fazal-e-Raziq
Published: May 2023

ABSTRACT:

Background:

COVID19 has been a disastrous pandemic infecting millions across the globe. Health care providers are the one who at an increased risk of contracting this infection due to their immense exposure.

Our study aims to access the knowledge and mental status of HCPs after being through three months of this pandemic as they have witnessed the morbidities, mortalities and sufferings during this period.

Method: A cross-sectional survey-based study was conducted including 309 Health Care Professional. They filled the self administered questionnaire which accessed the knowledge and mental health status. Categorical socio-demographic variables were measured by frequencies and percentages of occurrence while Numerical variables were measured as mean and standard deviations. Mean Knowledge and Mental health scores were calculated.  Inferential statistics including Chi-square tests and T test which were applied to find the difference in responses by demographic characteristics. Correlation analysis was performed to determine the relationship between different variables.

Results: Over all mean score for Knowledge was 10.18±1.7and Mean Mental health score were 12.4±3.89. Doctors had a higher mean Knowledge score (10.7±1.63) as compared to nurses (9.7±1.72 ) and paramedics(9.8±1.83). Among the Doctors, 84.9% had Good knowledge scores as compared to 60% and 61% of the nurses and paramedics respectively. Doctors had a lower mean Mental health score (11.51± 4.14) as compared to nurses (13.58±3.250) and paramedics (12.58±3.814) respectively. Females had a higher Mean Mental Health score as compared to males. (12.97±3.750 vs 11.81±3.967) Pearson Correlation analysis showed weak negative correlation between Knowledge and Mental health scores (r=-0.032, P value=0.57).

Conclusion:

 Although it has been more than three months since COVID19 emerged to become a pandemic, there still remains a need to educate our health care professionals especially nurses and paramedics. Measures should be taken to alleviate the stress and depression of HCPs.

 

Key Words: Health care professional, Knowledge scores, Mental health scores
Pneumothorax: A rare complication of COVID-19 pneumonia. A case report
Authors: Abdul Rasheed Qureshi  , Zaheer Akhtar  , Muhammad Irfan  , Muhammad Sajid
Published: May 2023

COVID-19 Pneumonia outbreak, started in China in December 2019 and spread world-wide.  Patient usually presents with flu like or lower respiratory symptoms. At times, patients display rapid respiratory decline which is attributed to the progression of covid-19 pneumonia. Pulmonary embolism and extensive pneumonia are common complications. Pneumothorax may be a rare complication which has commonly been reported in ventilated patients and could be a life threatening emergency. Early diagnosis and prompt management are detrimental for favorable outcome. We describe a 72 years old, male patient, admitted in covid-19 ward for COVID-19 pneumonia. Fever, dry cough and worsening shortness of breath were main complaints.  Chest x-ray revealed signs of low density consolidation in both mid and lower zones and pneumothorax on the left side. CRP, LDH, D. Dimer and serum Ferritin levels were raised. Covid-19 treatment started, chest drain inserted and patient was discharged after 15 days with full lung expansion.
SARS-COV-2 specific antibody prevalence among doctors of Emergency in Mayo Hospital, Lahore
Authors: Maqbool Tehmina , Jehangir Hafiz Muhammad Sajid , Mussab Ahmad  , Samia Jamil  , Saad Ullah Saleem  , Tariq Siddique
Published: May 2023

Abstract:

Objective: To know the frequency of doctors with IgG antibodies positive for SARS-COV-2 working in Mayo hospital emergency during the COVID-19 pandemic

Design: Observational Cross-Sectional study

Sample size: 151

Methodology: Those doctors who gave consent for study were included. Demographical Variables, designation, area of work, history of symptoms of COVID-19, use and availability of PPE were asked on a performa. Blood samples were drawn for analysis by a local laboratory to assess levels of IgG antibody titer. Collected data was analyzed using SPSS 20.

Results:The mean Age of 151 included participants was 27.94 ± 4.25. Of these , 96 (63.6%) were male and 55 (36.4%) were female. Mean IgG level was 2.09 ± 5.23. Seropostivity  for COVID -19 IgG antibody among doctors working at Emergency of Mayo hospital was  observed in 39.7 % (60).. 91 (60.3%) were screened negative. 63 (41.7%) doctors showed symptoms of COVID-19 of them 47 were screened positive and 16 were non reactive in antibody titer. Among 88 (58.3%) asymptomatic participants 13 (14.7%) were seropositive where as 75 (83.3%) neither showed symptoms nor showed reactive antibody titer.

Conclusion: There was a high seroprevalance of antibodies against SARS-CoV -2 in doctors working at Mayo hospital, Lahore. Most of the symptomatic patients were seropositive.

Key Words: SARS CoV-2, IgG antibodies, Seroprevalance
MENTAL HEALTH OF PATIENTS WITH COVID 19
Authors: Huma Batool  , Zainab Raza  , Syed Arslan Haider  , Khalid Waheed  , Asifa Karamat  , Andleeb Zehra
Published: May 2023

The current study examines the mental health of patients diagnosed with Covid 19. Descriptive research design was used in this study. Data of 100 patients was collected from Lahore General Hospital through convenient sampling. Pakistan Anxiety and Depression Scale was used to find out mental health of patients in domains of anxiety and depression. According to the findings, mostly patients reported moderate level of anxiety and depression. Results also showed that females experience more depression and anxiety as compared to males. It was also seen that patients living in nuclear family systems show more anxiety as compared to those who live in joint family system. Furthermore, age was positively while family income negatively related with anxiety and depression. These findings can be helpful to highlight importance of need of mental health services to reduce psychological impact of this outbreak
COVID-19: OUTBREAK, TRANSMISSION, DIAGNOSIS, POTENTIAL TREATMENT AND SITUATION IN PAKISTAN
Authors: Ghazala Rubi  , Sardar Muhammad Al Fareed Zafar  , Hina Majid  , Salman Shahid  , Khalid Waheed  , Zainab Javaid  , Musbih ul Qayyum Zia
Published: May 2023

The Coronavirus disease 2019 (COVID-19) that originated in Wuhan, China in December 2019 has become a pandemic. In comparison to its ancestors the SARS-CoV and MERS-CoV, the novel corona virus SARS-CoV-2 has a faster spread. The transmission of disease is through inhalation of infected droplets. Fever, sore throat, dry cough, body pain and malaise are the common symptoms. Shortness of breath leading to acute respiratory distress syndrome is observed in worse situation.  Diagnosis is made through detection of the virus in respiratory secretions. Treatment is symptomatic.  COVID-19 has badly affected over 209 countries including Pakistan. According to WHO there are 8,006,427 cases and 436,899 deaths reported due to COVID-19, as of 16th June 2020. Prevention includes isolating the suspected cases while the strict infection control measures must be at employed at the hospitals. Being a neighbor to China and Iran, Pakistan was most vulnerable to COVID-19.  In Pakistan first case of COVID-19 was reported on 25 February 2020.  78% COVID-19 positive cases were the pilgrims returning from Iran. To control the spread of the disease, the Government of Pakistan announced the suspension of international and domestic flights. All the educational institutions were closed and a partial lockdown was imposed across the country. Hand hygiene, wearing of face masks and the social distancing was stressed upon. Uptil now, no vaccine against COVID-19 is reported. However, clinical trials are being conducted all over the world. The article throws some light on the origin, pathogenicity, symptoms, diagnostics along with possible therapeutic strategies of the virus and situation of COVID-19 in Pakistan.
OPTIMALISASI PEMASARAN PRODUK RITEL MELALUI OJEK (ONLINE, JEJARING SOSIAL, E-COMMERCE DAN KOMUNITAS) PADA SISWA KELAS XI BISNIS DARING DAN PEMASARAN 1 DI SMK NEGERI 1 PEMALANG
Authors: TUNFADILAH TUNFADILAH
Published: May 2023

Retail business competition is not only sufficient by offering prime quality products, competitive prices, creating customer satisfaction and providing better service to the public or consumers, but primarily in addition to creating customer satisfaction, it also strives to build community loyalty and interest in shopping. The purpose of preparing this Best Practice report is to determine the impact of modern retail marketing mix on the satisfaction of people's shopping interest and its implications for the loyalty of people's shopping interest. Observations obtained through the direct influence of the modern retail marketing mix simultaneously have a positive and significant effect on the satisfaction of people's shopping interest, but the price factor partially does not have a significant effect on the satisfaction of people's shopping interest. Satisfaction of the shopping community's interest has a positive and very significant influence on the loyalty variable of the shopping community's interest. This means that the satisfaction felt by the community for shopping will increase shopping loyalty.
ABSTRAKKompetisi bisnis ritel tidak hanya cukup dengan menawarkan produk kualitas prima, harga bersaing, menciptakan kepuasan pembeli dan memberikan pelayanan yang lebih baik kepada masyarakat atau konsumen, namun utamanya selain menciptakan kepuasan pelanggan, juga upayakan untuk membangun loyalitas minat masyarakat berbelanja. Tujuan pembuatan laporan Best Practice ini untuk mengetahui dampak marketing mix modern ritel terhadap kepuasan minat belanja masyarakat dan implikasinya pada loyalitas minat belanja masyarakat. Hasil pengamatan diperoleh melalui pengaruh langsung marketing mix modern ritel secara bersamaan berpengaruh positif dan signifikan terhadap kepuasan minat masyarakat berbelanja, namun faktor harga secara parsial tidak memiliki pengaruh yang signifikan terhadap kepuasan minat masyarakat berbelanja. Kepuasan minat masyarakat belanja memiliki pengaruh yang positif dan sangat signifikan terhadap variabel loyalitas minat masyarakat belanja. Hal ini berarti kepuasan yang dirasakan masyarakat untuk belanja akan meningkatkan loyalitas berbelanja.
USO INDISCRIMINADO DE MEDICAMENTOS PARA EMAGRECIMENTO
Authors: Valladares Emilly Juliane da Silva , Baiense Alex Sandro Rodrigues
Published: May 2023

A obesidade é uma doença crônica definida como o acúmulo anormal ou em excesso de gordura, que traz prejuízos à saúde, acarretando ao indivíduo o desenvolvimento de doenças crônicas. Encantadas com a falsa promessa de emagrecimento rápido e sem muito esforço, as pessoas preferem utilizar medicamentos para emagrecer na esperança de adquirir um corpo perfeito sem sacrifício, muitas das vezes fazem uso desses medicamentos sem uma indicação médica. O uso indiscriminado desses medicamentos podem causar efeitos colaterais graves, tais como: ansiedade, confusão, insônia, alterações do humor e comportamento violento.
A TEORIA DO FATO JURÍDICO SOB A ÓTICA CIVIL-CONSTITUCIONAL
Authors: Santos Gustavo Torres Dias dos , Bittencourt Neto Antonio de Lucena
Published: May 2023

A Teoria do Fato Jurídico sob a ótica Civil-Constitucional constitui-se como um dos principais ramos da Ciência Jurídica, visto que consiste na análise dos fatos concretos que geram direitos e obrigações entre os indivíduos, além de possibilitar o estabelecimento de responsabilidades civis, penais, administrativas e tributárias. A partir da Teoria do Fato Jurídico é possível estudar os elementos que compõem as relações jurídicas, como por exemplo, a relação entre oferta e aceitação, promessa de compra e venda, contratos e outros. Com base nesses fatos, a Sociedade pode atribuir a responsabilidade ao agente, quando há o descumprimento de uma obrigação. Partindo desse contexto, a presente pesquisa tem como objetivo, indicar os principais pressupostos civil-constitucionais existentes sob a teoria do fato jurídico na figura dos negócios jurídicos. Optou-se por uma pesquisa qualitativa, adotando como procedimento técnico pesquisa documental e bibliográfico onde se fez o levantamento operacionalizado através de análises. Os resultados evidenciam que a Teoria do Fato Jurídico possibilita às pessoas o exercício de seus direitos fundamentais, garantidos pela Constituição Federal, tais como a propriedade privada, a livre iniciativa, a personalidade jurídica e a livre expressão. Além disso, permite a avaliação dos direitos fundamentais assegurados aos indivíduos pela Carta Magna, de modo a manter a harmonia entre os direitos, bem como a proteção dos direitos individuais. Por fim, é importante destacar que a Teoria do Fato Jurídico é uma ferramenta fundamental para a compreensão dos direitos e obrigações existentes entre as pessoas, bem como para o reconhecimento de responsabilidades decorrentes de um fato jurídico, na qual se aplicam os princípios constitucionais.
AÇÃO DO FARMACÊUTICO NA DISPENSAÇÃO DE MEDICAMENTOS ISENTOS DE PRESCRIÇÃO (MIPs)
Authors: Ola Aldair Renan Oliveira , Baiense Alex Sandro Rodrigues
Published: May 2023

Medicamentos isentos de prescrição (MIPs) são aqueles que para serem adquiridos não exigem prescrição médica, sendo indicados para o tratamento de problemas de saúde autolimitados considerados de baixa gravidade. Porém, por serem isentos de prescrição devem ser utilizados com cautela e sua dispensação deve ser acompanhada com a devida orientação de um profissional habilitado, pois esses medicamentos podem provocar danos à saúde quando são utilizados de forma inadequada e indiscriminada. O farmacêutico é o profissional mais habilitado para promover o uso de MIPs de maneira segura e racional, evitando assim, possíveis problemas relacionados ao uso inadequado e indiscriminado. No momento da dispensação o farmacêutico tem o dever de prestar orientações quanto ao uso correto do medicamento, visando o melhor tratamento farmacológico para proporcionar uma melhor qualidade de vida ao paciente.
OS IMPACTOS AMBIENTAIS DECORRENTES DO DERRAMAMENTO DE ÓLEO POR NAVIO ESTRANGEIRO NA COSTA BRASILEIRA: CASO DO BOUBOULINA
Authors: Lima Junior Paulo Antonio Ayres , Silva Wirna Maria Alves da
Published: May 2023

O presente artigo objetivou analisar as consequências jurídicas pelo derramamento de óleo no mar brasileiro a partir do caso Bouboulina, identificando como o direito internacional do meio ambiente leciona a respeito. Tendo como hipótese a seguinte afirmativa: a responsabilidade pelo derramamento de petróleo em alto mar (águas internacionais), que venha causar contaminação significativas no litoral brasileiro é internacional. Nesse sentido, teve como objetivos específicos: discorrer sobre o direito internacional ambiental; destacar os impactos ambientais gerados pelo desastre; identificar normas internacionais ambientais aplicáveis ao caso concreto; sugerir uma possível solução a ser adotada. Onde se buscou reunir informações pertinentes ao tema através do levantamento de referências teóricas já analisadas e publicadas por meios eletrônicos e escritos, sobre a teoria que norteou o trabalho científico, de maneira que possibilitou sistematizar todo o material analisado. Dessa forma, chegou-se à conclusão de que os tratados internacionais citados no texto estão estreitamente relacionados ao direito ambiental internacional já que definem alguns conceitos e regulamenta questões que envolvem danos ambientais por derramamento de petróleo em alto mar.
DEFICIÊNCIA DE VITAMINA B12 EM ADULTOS PÓS- CIRURGIA BARIÁTRICA
Authors: Rocha Julianna Brito Soares da , Senna Junior Vicente Antonio de
Published: May 2023

Obesidade é um tema que se faz presente constantemente na área de saúde. Caracterizada pelo acúmulo excessivo de gordura, a obesidade é um fator de risco a saúde do indivíduo por torná-lo vulnerável a outras doenças. Dentre os diversos métodos de tratamento da obesidade, destaca-se a cirurgia bariátrica por sua eficácia na perda de peso e na promoção da saúde, devido à redução dos riscos de comorbidades. Contudo, indivíduos submetidos às técnicas cirúrgicas, apresentam maior probabilidade de desenvolver déficit nutricional, consequente de uma restrição alimentar, alteração no trato gastrointestinal e da má absorção dos nutrientes. Diante disso, o presente estudo de revisão tem como objetivo abordar as principais deficiências causadas pela falta da vitamina B12
Effect of droughts and climate change on future soil weathering rates in Sweden
Authors: Kronnäs Veronika , Lucander Klas , Zanchi Giuliana , Stadlinger Nadja , Belyazid Salim , Akselsson Cecilia
Published: May 2023

Abstract. In a future warmer climate, extremely dry, warm summers
might become more common. Soil weathering is affected by temperature and
precipitation, and climate change and droughts can therefore affect
soil chemistry and plant nutrition. In this study, climate change and
drought effects on soil weathering rates and release of Ca, Mg, K and Na
were studied on seven forest sites across different climates in Sweden,
using the dynamical model ForSAFE. Two climate scenarios were run, one
medium severity climate change scenario from IPCC (A1B) and one scenario
where a future drought period of 5 years was added, while everything else
was equal to the first scenario. The model results show a large geographical
variation of weathering rates for the sites, without any geographical
gradient, despite the strong dependence of temperature on weathering and
the strong gradient in temperature in Sweden. This is because soil texture
and mineralogy have strong effects on weathering. The weathering rates have
a pronounced seasonal dynamic. Weathering rates are low during winters and
generally high, but variable, during summers, depending on soil moisture and
temperature. According to the model runs, the future yearly average
weathering rates will increase by 5 %–17 % per degree of warming. The
relative increase is largest in the two southeastern sites, with low total
weathering rates. At sites in southern Sweden, future weathering increase
occurs throughout the year according to the modelling. In the north, the
increase in weathering during winters is almost negligible, despite larger
temperature increases than in other regions or seasons (5.9 ∘C
increase in winter in Högbränna; the yearly average temperature
increase for all sites is 3.7 ∘C), as the winter temperatures
still will mostly be below zero. The drought scenario has the strongest
effect in southern Sweden, where weathering during the later parts of the
drought summers decreases to typical winter weathering rates. Soil texture
and amount of gravel also influence how fast the weathering decreases during
drought and how fast the soil rewets and reaches normal weathering rates
after the drought. The coarsest of the modelled soils dries out and rewets
quicker than the less coarse of the modelled soils. In the north, the soils
do not dry out as much as in the south, despite the low precipitation, due to
lower evapotranspiration, and in the northernmost site, weathering is not
much affected. Yearly weathering during the drought years relative to the
same years in the A1B scenario are between 78 % and 96 % for the
sites. The study shows that it is crucial to take seasonal climate
variations and soil texture into account when assessing the effects of a
changed climate on weathering rates and plant nutrient availability.
CLGAN: a generative adversarial network (GAN)-based video prediction model for precipitation nowcasting
Authors: Ji Yan , Gong Bing , Langguth Michael , Mozaffari Amirpasha , Zhi Xiefei
Published: May 2023

Abstract. The prediction of precipitation patterns up to 2 h ahead, also known as precipitation nowcasting, at high spatiotemporal resolutions is of great relevance in weather-dependent decision-making and early warning systems.
In this study, we are aiming to provide an efficient and easy-to-understand deep neural network – CLGAN (convolutional long short-term memory generative adversarial network) – to improve the nowcasting skills of heavy precipitation events.
The model constitutes a generative adversarial network (GAN) architecture, whose generator is built upon a u-shaped encoder–decoder network (U-Net) and is equipped with recurrent long short-term memory (LSTM) cells to capture spatiotemporal features.
The optical flow model DenseRotation and the competitive video prediction models ConvLSTM (convolutional LSTM) and PredRNN-v2 (predictive recurrent neural network version 2) are used as the competitors.
A series of evaluation metrics, including the root mean square error, the critical success index, the fractions skill score, and object-based diagnostic evaluation, are utilized for a comprehensive comparison against competing baseline models. We show that CLGAN outperforms the competitors in terms of scores for dichotomous events and object-based diagnostics.
A sensitivity analysis on the weight of the GAN component indicates that the GAN-based architecture helps to capture heavy precipitation events. The results encourage future work based on the proposed CLGAN architecture to improve the precipitation nowcasting and early warning systems.
GEOSPATIAL APPROACH FOR PETROL PUMPS VALUATION WITH URBAN PREDICTION MODELLING BY CELLULAR AUTOMATA IN CREEDS OF METROPOLITAN EXPANSE
Authors: Raza D. , Mirza S. , Shu H. , Khan A. , Tariq A. , Khan S. U. , Aeman H. , Akmal F.
Published: May 2023

Abstract. The research demonstrated the spatial analysis of site suitability using physical parameters in the Metropolitan expanse that requires environmental safety and sustainability. The location of petrol filling stations that are already developed without following any standard criteria is drastic. This research finds out the level of compliance of petrol pumps to set standards for distances and location in Lahore Metropolitan Corporation. 195 petrol pumps were sampled and eight standard criteria were developed. Which were used to perform site suitability analysis using Analytical Hierarchy Process technique. The results revealed that 88% of petrol pumps in the study area meet the standard criteria while 12 % did not meet the criteria due to improper planning of the management. Furthermore, by incorporating all the essential factors for petrol pumps suitable sites and spatial prediction of urban sprawl using Cellular automata have been developed. Therefore, this study also indicates the LULC pattern of metropolitan area with past and present existence of LULC feature. On the basis of past and present trends the future prediction has been performed using cellular automata modelling to observed the future scenario of urban development’s patterns. The prediction of future builtup pattern results are very alarming and need serious concentration regarding future road map. The study showed that geographic information system is essential tool that can assist decision and policy makers for a new development project to take appropriate measures.
Penggunaan Teknologi 5G Untuk Mendukung Manajemen Pelayanan Pelangan Telkomsel Menggunakan ITIL V3 Pada Telkomsel Palembang
Authors: Dimi Krismayanti  , Resky Klarasati  , Tata Sutabri
Published: May 2023

Manajemen pelayanan pelanggan adalah proses yang melibatkan perencanaan, pengoperasian, dan pengendalian pelayanan yang diberikan kepada pelanggan. Hal ini mencakup semua aspek yang terkait dengan pemberian layanan yang memenuhi kebutuhan dan harapan pelanggan. Untuk mencapai tujuan ini, Telkomsel dapat mengadopsi pendekatan yang didasarkan pada ITIL V3 (Information Technology Infrastructure Library).

ITIL V3 adalah suatu kerangka kerja terstruktur yang dirancang untuk memperbaiki pengelolaan layanan TI. Itu terdiri dari seperangkat praktik dan proses terbaik yang dapat diterapkan dalam lingkungan TI untuk meningkatkan pengiriman layanan dan kepuasan pelanggan. Beberapa proses utama dalam ITIL V3 yang relevan untuk manajemen pelayanan pelanggan Telkomsel menggunakan teknologi 5G adalah yang pertama Strategi Layanan (Service Strategy), kedua Desain Layanan (Service Design), ketiga Transisi Layanan (Service Transition), keempat Operasi Layanan (Service Operation), dan yang ke lima Peningkatan Layanan (Continual Service Improvement).

Dari pernyataan di atas, diperlukan pengukuran penggunaan teknologi 5G untuk mendukung manajemen pelayanan pelangan telkomsel menggunakan ITIL V3 Pada Telkomsel Palembang, untuk mencapai tujuan tersebut peneliti menggunakan data kuantitatif dengan didukung domain ITIL V3 guna mendapatkan nilai maturity level, tahapan pengumpulan data peneliti melakukan penyebaran kuesioner secara virtual yang kuisioner telah dibuat menggunakan google form, sehingga dari pengolahan data ini dapat di analisis tingkat keberhasilan atau kemajuan Teknologi Informasi serta mengukur tingkat efektif dan efesien pada Telkomsel Palembang, maka dimasa mendatang akan menjadi rekomendasi serta dapat di evaluasi oleh penelitian selanjutnya agar mendapatkan perkembangan teknologi informasi yang mendukung manajemen pelayanan yang lebih baik.
The role of N-acetylcysteine in decreasing neutrophil-lymphocyte ratio in COVID-19 patients: A double-blind, randomized controlled trial
Authors: Prabowo Nurhasan A. , Megantara Marcellino A. , Apriningsih Hendrastutik
Published: May 2023

N-acetylcysteine has antioxidant and anti-inflammatory activities that could potentially improve the clinical outcomes of coronavirus disease 2019 (COVID-19) patients. N-acetylcysteine potentially inhibits NLRP3 (NOD-, LRR- and pyrin domain-containing protein 3) inflammasome and results in control oxidative stress and cytokine release in COVID-19 patients. The aim of this study was to assess the effect of N-acetylcysteine in reducing the neutrophil-lymphocyte ratio (NLR) in COVID-19 patients. A randomized controlled clinical trial was conducted among severe and moderate COVID-19 patients. The treatment group received oral 1200 mg daily of N-acetylcysteine (three times a day) and the standard care for COVID-19, while the control group received standard care for COVID-19 and a placebo. The NLR was determined on the first day of admission and after the seventh day of treatment. A paired Student t-test was used to compare the NLR before and after treatment while independent Student t-test was used to compare the NLR between treatment and control groups. A total of 40 severe and moderate COVID-19 were enrolled, 20 people in each group, with a mean age was 44.68±13.24 years old. The mean NLR on the first day was 9.44 in the treatment group and 8.84 in the control group. After the seventh day, the mean NLR was 4.27 and 11.54 in the treatment group and control group, respectively. The mean changes of NLR (the pre-treatment compared to post-treatment) in the treatment and control group were reduced 4.05 and increased 3.34, respectively. The NLR in treatment group significantly decreased compared to the control group (p<0.001). In conclusion, N-acetylcysteine 1200 mg daily could reduce the NLR in severe and moderate COVID-19 patients.
GENDER DIFFERENCE IN STUDENT’S ATTITUDE TOWARDS MATHEMATIC AND THEIR ACADEMIC ACHIEVEMENTS AT SECONDARY LEVEL
Authors:   Department of Psychology, Hazara University Mansehra, Pakistan, Bashir Nazish , Akram Kiran ,   Department of Psychology, Hazara University Mansehra, Pakistan, Bashir Rabia ,   Department of Psychology, Hazara University Mansehra, Pakistan
Published: May 2023

The study was in purpose to find gender differences in student’s attitude towards mathematic and their academic achievement at secondary level. Data for this study was collected through the questionnaires from the students at Secondary schools of Rawalakot (three schools) and Muzaffarabad (two schools). Two hundred students (100) boys and (100) girls were selected randomly from available selected schools. Attitude scale towards mathematics (39 items) and academic achievement scale (65 items) were used as research instruments. The analysis of data revealed non-significant gender differences on the basis of enjoyment and motivation of mathematics. Significant gender differences were found regarding fear and anxiety of mathematics, females had more anxiety and fear then males. Furthermore, male students had more confidence and self-concept of mathematics then female students. Value and utility of mathematics is more in males then females. However, parents and teachers expect more from boys for good achievement and attitude of male students towards mathematics was greater than females. It was also observed that there were non-significant gender differences in overall academic achievement in mathematics. Keywords: Academic Achievement; Gender differences; Attitude; Mathematics; Secondary School Students
MPOX: Typical lesions in unusual places
Authors:   Internal Medicine Department Hospital Copa D’or, Private Hospital in Rio de Janeiro, Brazil., de Moraes Antonio Carlos
Published: May 2023

A 54-year-old man seeks the Emergency Room due to a three-day course of left flank and left iliac pain. He had a past medical history of type 2 diabetes mellitus and splenectomy seven years ago. He denied fever and showed no signs of bowel obstruction. Pain was worsened upon palpation of the left quadrants. Digital rectal exam was unremarkable and there were no skin or ocular lesions on the physical exam.
ОПТИМИЗАЦИЯ ПАРАМЕТРОВ БУРОВЗРЫВНЫХ РАБОТ НА КАРЬЕРАХ КРУПНО¬БЛОЧ¬НОГО СТРОЕНИЯ
Authors: Агаронян Г.А. , Аванесова И.С.
Published: May 2023

Установлено, что при взрывании крупно- и весьма крупноблочных масси-вов блочность (трещиноватость) массива является основным носителем энергии взрыва, при этом качество дробления в значительной степени зависит от неодно-род¬¬ности среды. В крупноблочных массивах трещины разных форм и ширины, заполненные породами с малой акустической жесткостью (вмещающие породы), разделяют горный массив на отдельные блоки, что затрудняет регулирование степени дроб¬ле¬ния пород взрывом. Считается общепринятым, что удельный расход взрывчатого вещества (ВВ) является основным технологическим фактором регулирования качества дробле¬ния, и независимо от физико-механических свойств взрываемого массива, увеличение удельного расхода ВВ приводит к улучшению степени дробления породы. Однако регулирование качества дробления в трещиноватых породах с изменением величины удельного расхода ВВ весьма ограничено.
Предложен способ оптимизации параметров буровзрывных работ на карьерах крупно¬блочного строения путем выбора разномощных ВВ с учетом размера трещин, а также характера их распределения в массиве горных пород. В зависи¬мости от характера распределения неоднородных пород, определена равномерность распределения энергии взрыва в глубине массива (выбор конструкции заряда ВВ, типа и длины ВВ).
Представлены результаты промышленных взрывов, подтверждающие улучшение качества дробления на карьере строительных материалов по производству щебня. Предлагаемый способ может быть применен на нерудных строительных карьерах крупноблочного строения, а также на сложноструктурных забоях рудного карьера.
Bridging the Governance Gap: Protecting the Education Rights of Climate Displaced Persons in South and Southeast Asia
Authors: Huang Ying-Syuan (Elaine) , Vaughter Philip , Park Jonghwi
Published: May 2023

South Asia is particularly vulnerable to natural disasters, with millions of displacements recorded every year. Yet issues of climate-induced displacement and migration remain underrepresented in policy discourse, advocacy, and research. As a result, students in disaster-prone areas are often kept out of school during and after disasters. This policy brief highlights the common governance gaps in protecting the right to education for displaced persons in South and Southeast Asia, and provides policy recommendations for addressing them.
A Study on the Impact of Mobile Phone Usage on the Academic Performance of Undergraduate Students
Authors: Abhishek. R
Published: May 2023

This study aims to investigate the impact of mobile phone usage on the academic performance of undergraduate students. The study employed a quantitative research design using a survey questionnaire to collect data from a sample of 120 undergraduate students in various disciplines. The study explores the purpose of using a mobile phone, the duration of mobile phone usage, factors influencing to use a mobile phone, and the impact of mobile phone usage on academic performance of undergraduate students. The data collected is analysed using descriptive and inferential statistics such as ANOVA, Chi-Square Test and Correlation.
Impact of Advertisement on Consumer Behaviour with reference to Hindustan Unilever Soap Products
Authors: Lakshminarashiman S
Published: May 2023

Advertisement has a significant impact on consumer behaviour in the soap products market, especially in the case of Hindustan Unilever Limited (HUL), a leading FMCG company in India. The study aims to explore the impact of advertisement on consumer behaviour regarding HUL's soap products. The research methodology involved the collection of primary data through a questionnaire survey conducted among a sample of 150 respondents in Chennai The findings indicate that advertising significantly influences consumers' behaviour when purchasing HUL's soap products. The majority of respondents reported that they were aware of HUL's soap products primarily through advertising campaigns, and it played a significant role in their purchase decision. The results also suggest that advertising influences consumers' perceptions of HUL's soap products' quality and benefits, which ultimately impacts their purchase behaviour. Furthermore, the study found that advertising has a positive impact on consumers' brand loyalty towards HUL's soap products. Consumers who were exposed to HUL's advertising campaigns were more likely to repurchase the same brand than those who were not. The study also highlights the importance of targeted advertising in influencing consumer behaviour, with HUL's advertising campaigns effectively targeting specific demographics and promoting their products' unique benefits. In conclusion, advertising plays a crucial role in shaping consumer behaviour regarding HUL's soap products. It helps create brand awareness, influence perceptions, and foster brand loyalty, ultimately driving sales and revenue growth for the company. Therefore, HUL should continue investing in effective advertising campaigns to maintain and strengthen its position in the soap products market.