bluuebunny/crossref_metadata_2025 huggingface dataset:
Larvicidal activity of essential oils of Haridra and Tulsi against Aedes aegypti and Anopheles larvae
Authors: Sharma Akshu , Manisha Dikshit  , AC Pandey  , Raj Kumar Singh  , Praful Dikshit
Published: June 2023

An attempt is made in the present study to analyse the larvicidal activity of Haridra and Tulsi against Aedes and Anopheles larvae. Larval bioassays were carried out at different concentrations 50-500ppm. The larval mortality of fourth instar larvae of A. aegypti and Anopheles after 24h of treatment was observed separately in control, 50, 62.5, 100, 150, 250, 300 and 500 ppm concentrations. Based on the Probit analysis, Significant effect (Estimate adh_conc = 3.069, 95% C.I. [2.082, 4.057], z = 6.093, p<.05) of Haridra oil extract concentration for Aedes (adh_conc) on the Probit response or mortality was observed. The median lethal Concentration, LC50= 166.353, 95% C.I. [134.745, 203.268], 90% Lethal Concentration, LC90 = 435.065, 95% C.I. [328.259, 712.462] were recorded. Statistical analysis revealed that significant effect (Estimate adt_conc = 3.369, 95% C.I. [2.229, 4.509], z = 5.791, p<.05) of Tulsi oil extract on Aedes larvae concentration (adt_conc) on the Probit response or larvae mortality (adt_mort) was observed. The median Lethal Concentration, LC50= 105.051, 95% Confidence Intervals (C.I). [81.451, 127.428], 90% Lethal Concentration, LC90 = 252.242, 95% C.I. [199.229, 376.772] of essential oil of Tulsi oil against Aedes aegypti larvae was recorded. No mortality of Aedes larvae was recorded in the control group. Essential oil of Haridra at different concentrations shows a significant effect (Estimate anh_conc = 2.038, 95% C.I. [1.180, 2.896], z = 4.655, p<.05 against the mortality of Anopheles Larvae on the Probit response or mortality. The median Lethal Concentration, LC50 = 124.823, 95% Confidence interval CI. [84.002, 164.336], 90% Lethal Concentration, LC90 = 530.978, 95% C.I. [349.474, 1333.827] of essential oil of Curcuma longa against Anopheles larvae was recorded. (Estimate ant_conc = 2.257, 95% C.I. [1.135, 3.200], z = 4.694, p<.05) of Tulsi oil - extract on Anopheles Larvae concentration (ant_conc) on the Probit response or mortality (ant mort) was observed. Median Lethal Concentration, LC50 = 339.419, 95% Confidence Interval (C.I.) [259.239, 533.727], 90% Lethal Concentration, LC90 = 1254.519, 95% C.I. [717.77, 4574.12] of essential oil of Tulsi oil against Anopheles larvae. Larvicidal activity of both the plants against Aedes larvae at different concentration was significant. But LC50 and LC90 values of Ocimum sanctum (Tulsi) against mortality of Aedes aegypti were less as compared to Curcuma longa (Haridra). It revealed that Tulsi showed better larvicidal activity against Aedes larvae as compared to Haridra. It was also observed that LC50 and LC90 values of Haridra against Anopheles larvae were less than Tulsi. It revealed that Haridra showed better larvicidal activity against Anopheles larvae as compared to Tulsi.
Effect of Shunthi-Haritaki Choorna and Kapalbhati in Sthaulya (Obesity): A Case Study
Authors: Kapil Mevafarosh  , Trupti Jain  , Vijendra Singh Mandloi  , Nitin Marwaha
Published: June 2023

Obesity is a medical condition where body fat has accumulated to an extent that it may have a negative effect on health. A body mass index (BMI) over 25kg/m2 is considered overweight, and over 30kg/m2 is obese. Modernization, stress, bad dietary habits and sedentary lifestyle results into the clinical entity called obesity. In Ayurveda, it has been mentioned under Santarpanjanya Vikara in Bahudoshavastha condition. Ayurveda has a holistic approach towards management of Sthaulya. This is a single case study on effective management of Sthaulya. The treatment was planned as Shunthi-Haritaki Choorna in a dose of 5 gm [2:1] with lukewarm water B.D. after meal and Kapalbhati - 3 rounds (with 1 minute interval of normal breathing) in morning time. Each round will have 4 cycles of 20 strokes (with an interval of 3-4 deep breathing) for 45 days. After completing 45 days, patient felt significant changes in the anthropometrical measurements of the body, along with weight reduction of about 4.2kgs. And improvement in other associated symptoms as well as lipid profile. The current study thereby proves that treatment with Shunthi-Haritaki Choorna and Kapalbhati is a good way to manage overweight and obesity.
Management of Parikshepi Bhagandar (Horse Show Fistula in Ano) by intercept of track followed by conventional Kshara Sutra
Authors: Manmahendra  , Bhinya Ram  , Ashok Kumar  , P. Hemantha Kumar
Published: June 2023

In Ayurveda surgical sphere Acharya Sushruta and Vabhagta elaborated fistula in Ano properly. In which Parikshepi Bhagandar is the advance stage originated by Vata-Pitta Dosha. In contemporary science it is mentioned under heading of Complex horse show Fistula-In-Ano (FIA). FIA is a common surgical Ano-rectal condition that occurs twofold as often in men as in women, present between the age group of 20 to 50 Years. According to parks classification >65% coming under category of complex fistula in Ano is challenging to managed by Surgeons because of more chances of reoccurrence. In this manuscript successful management of Parikshepi (Horse show FIA) Bhagandara by modified conventional Kshara Sutra Technique with significant post-operative outcome, minimum tissue damage and post-operative scar is described.
Pharmaceutical preparation and stability study of Netramritam a herbal eye drop for Cataract
Authors: Neha Joshi  , Govind Sahay Shukla  , Praveen Kumar
Published: June 2023

Ayurveda is science in which we study about not only Atura Chikitsa but also Swasthasya Swasthya Rakshana. In this study an eye drop which comes under Arka Kalpana of Bhaishajya Kalpana. This eye drop not only treat cataract but also prevent healthy eye from cataract. Cataract is a disease in which cloudy eye vision is the main symptom of acute patients. In Ayurveda we correlate cataract with Linganasha. This eye drop is made up of Gulbakawali flower Arka and this medicinal herb has a great potential to prevent and treat cataract. Also in this study light towards the pharmaceutical preparation of Gulbakawali Arka and it's analytical parameters like Ph value antimicrobial study to find out stability and shelf life of this eye drop has been studied.
Panduhara drugs of Bhavaprakasha Nighantu and Samhita - A Review
Authors: B. Naga Sravani  , M. Laxmi Ravali  , A. Vijaya Lakshmi
Published: June 2023

Pandu Roga is one of the diseases mentioned in Ayurveda characterised by pallor which is associated with different colours according to Doshas (Body humours) involved. This can be clinically corelated to Anaemia in modern science due to resemblance of signs and symptoms. Bhavaprakasha Nighantu is one of the oldest Lexicon that provides information about the Ayurvedic drugs and their properties in details. This is a literary survey based on Bhavaprakasha Nighantu and Bhavaprakasha Samhitha was aimed to find out single drugs and their properties which are used in the treatment of the disease Pandu. In Bhavaprakasha Nighantu Pandu Hara drugs are six in Haritaki Varga, nine in Guducyadi Varga, five in Vatadi Varga, eight in Dhatu Varga, three in Sakha Varga were found. The author also mentioned Dugda (milk) in Dugda Varga, Takra (buttermilk) in Takra Varga, Naveena Ghrita (freshly made ghee) in Ghrita Varga, Tushodaka (sour barley gruel) and Sukta (fermented gruel) in Sandhaniya Varga, Go-mutra (cow’s urine) in Mutra Varga as Pandu Hara. Total 38 single drugs have mentioned in Bhavaprakasha Nighantu. In Bhavaprakasha Samhita there are two main classical formulations which are useful in Pandu Roga and most of the ingredients of these formulations are similar with single drugs mentioned in Bhavapraksha Nighantu and 19 drugs are additionally found in Bhavaprakasha Samhitha.
Understanding Samanya & Vishesa in Ayurvedic Perspective & its rational application: as preventable approach towards various medication errors in clinical practice
Authors: Kshirabdhi Tanaya Rautaray  , Shiva Prasad Mohanty
Published: June 2023

Errors are an integral part of human life. Many errors originate from the natural process of cognitive and behavioral skills which need to be prevented by proper cognitive knowledge & behavioral adaptation. One of such error is medication error, prescribing error, administration error etc. which emerged as global crisis in the contemporary practice of medicine significantly affect patient safety and lead towards various adverse outcomes such as increased mortality, increased duration of hospitalization even increased medical expenses. Such errors lay to prevent the attainment of desired outcome of prescribed medicine and validate the rejection of theory or principle of any science. Ayurveda the ancient holistic science while describing Samanya & Vishesa as foremost principle & fundamental basis for rational administration of drug has highlighted on proper prescription and administration under the broad heading ‘Pravritti’. Cognitive knowledge on broader clarification of the word ‘Pravritti’ at multiple ends and its adaptation in clinical practice can prevent various medication errors and validates the efficacy of Ayurvedic formulations or regimens based on principle. Hence an attempt has been made by the author enrich the cognitive knowledge of Samanya & Vishesa and broader clarification about their implementation & result on both perspective such as strength & weakness.
IMPLEMENTATION OF RELIABILITY CENTERED MAINTENANCE (RCM) IN PERTAMINA HULU ENERGY SUBHOLDING UPSTREAM (PHE SHU) THROUGH PERTAMINA RELIABILITY DATA (PAREDA) DATABASE & APPLICATION DEVELOPMENT
Authors: Fikri Khairil , Darmadi Djarot B. , Nuggraha Deddy , Tieu Anh Kiet , Norrish John
Published: June 2023

As part of the integrated efforts that need to be made to achieve the target of becoming a world-class energy company, PHE SHU needs to carry out a series of strategic initiative programs related to the implementation of RCM which need to be carried out in several field including all Regions, Zones, Work Areas and Assets. In the context of implementing RCM at PHE SHU, management has carried out a series of massive and simultaneous activities during 2022-2023 period, both debriefing several workshops & socialization of RCM understanding, issuing task forces and director's orders, conducting site visits & field implementation pilot projects in the onshore area (GTC SKG Subang Field) as well as offshore area (GTG X-Ray Jatibarang Field), performing sharing sessions/focus group discussion, review maturity level assessment, initiate various continuous improvement and its replication to other fields, as well as database development and created Pertamina Reliability Data (PAREDA) applications.
QUAY CONTAINER CRANE PRODUCTIVITY EFFECTIVENESS ANALYSIS (CASE STUDY JAKARTA INTERNATIONAL CONTAINER TERMINAL)
Authors: Imam Pekih Mufti , Sutawijaya Ahmad Hidayat
Published: June 2023

The purpose of this study is to determine the effectiveness and productivity of Quay Container Crane (QCC) work through the value of OEE (availability, performance, quality) and identify losses affecting the OEE value of QCC. The method used is a explorative and descriptive analysis, which exposes availability, performance and quality of Quay Container Crane based on actual data and information by collecting, compiling, classifying and analysing data and information about the effectiveness and productivity of Quay Container Crane. The results of the OEE are analysed using the six big losses method to find the loss factor, root cause analysis using the Fishbone diagram and make improvement recommendations using the 5 why analysis method. Based on the research results, the OEE value of Quay Container Crane affected by the loss factor which are reduce speed losses, breakdown losses and idling and stoppage losses. The root of the problem comes from various causes, among others, many breakdown on spreaders, the maintenance schedule is still not correct, the operator's competence and knowledge are still lacking, and the technical problems in the Quay Container Cranes.
EXPERIMENTAL ANALYSIS OF CASTOR OIL AND DIESEL OIL MIXTURES IN A 4-STROKE COMPRESSION COMBUSTION ENGINES
Authors: Suardi Suardi , Alamsyah Alamsyah , Nugraha Andi Mursid , Pawara Muhammad Uswah
Published: June 2023

The production of hydrocarbon fuels shows a downward trend which forces people to look for alternative renewable fuels such as biodiesel from vegetable oil. One solution that can be applied in the use of biodiesel mixed with castor oil. The purpose of this study was to determine the effect of using a mixture of castor oil on the performance of diesel engines. The method used in this experiment is testing it directly on a diesel engine. Experiments were carried out on machines with a load of up to 4000 watts by mixing pure diesel fuel with castor oil to produce biodiesel B10, B20, and B30 as fuel. The results showed that the use of castor oil biodiesel tends to be lower than diesel oil, the torque produced by B20 17,59 N.m is greater than diesel oil, and the thermal efficiency of B20 17,04 % and SFC B20 is 470,2 gr/kWh more economical than diesel oil. B20 provides better performance values foe diesel engines and this is the right solution to be an alternative fuel other than diesel oil.
REFERENCE OVERVIEW ON DESIGN AND SIMULATION OF GREEN SUPPLY CHAIN MANAGEMENT
Authors: Ihsan Muhammad Alif , Risonarta Victor Yuardi
Published: June 2023

The issue of decreasing air quality index due to supply chain transportation is one of the problems that must be addressed by the manufacturing sector. Green supply chain management (GSCM) can be a solution to address environmental issues in the supply chain. The GSCM is an integrated view that incorporates environmental considerations into the conventional supply chain, ranging from supplier selection, product design, material selection, manufacturing processes, packaging, and distribution. The correct implementation of GSCM can address both environmental and performance issues, e.g. decreasing both energy consumption and air pollution. The GSCM consists of green design, green manufacturing, green logistics, disassembly, and remanufacturing. To address the GSCM issues, the simulation is also discussed in this work. Meanwhile, this work suggests more policies for recycling, remanufacturing, and reuse of obsolete manufacturing products to support GSCM in developing nations.
A Atuação da Televisão Pública em Plataformas de Streaming: Uma Cartografia da TV Brasil e da TV Cultura no YouTube
Authors: Barbosa Pinheiro Elton Bruno , Ferreira Martins Paloma
Published: June 2023

Esta pesquisa apresenta uma reflexão analítica sobre a atuação de emissoras públicas de televisão brasileiras no ambiente mediático sociodigital de uma plataforma de streaming, nomeadamente, o YouTube, à luz dos princípios da radiodifusão pública preconizados pela Organização das Nações Unidas para a Educação, a Ciência e a Cultura (Bucci et al., 2012; Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura, 2001). Como eixo de articulação metodológica, o estudo adota também a abordagem cartográfica aplicada à pesquisa em comunicação (Kastrup, 2007; Rosário & Coca, 2018) e a perspectiva do estudo de casos múltiplos (Yin, 1994/2015) ao mapear a presença de duas emissoras públicas brasileiras, a TV Brasil e a TV Cultura, no YouTube. Sem desconsiderar o complexo momento político brasileiro, que impacta o Serviço de Radiodifusão Pública do país, especialmente por ocasionar a extinção do Conselho Curador (órgão de natureza consultiva e deliberativa) e, portanto, promover a exclusão da participação da sociedade na gestão da Empresa Brasil de Comunicação, a análise revela um momento específico do processo de plataformização (Poell et al., 2019) da televisão pública no Brasil, no qual é possível: verificar adequações e inadequações das emissoras estudadas ao ambiente da plataforma digital; registrar como as mudanças tecnológicas seguem a afetar a televisão enquanto meio e linguagem; e sublinhar alguns efeitos da comunicação via plataformas na sociedade.
Mobile Health–Supported Active Syndrome Surveillance for COVID-19 Early Case Finding in Addis Ababa, Ethiopia: Comparative Study
Authors: Bisrat Haileleul , Manyazewal Tsegahun , Fekadu Abebaw
Published: June 2023

Background

Since most people in low-income countries do not have access to reliable laboratory services, early diagnosis of life-threatening diseases like COVID-19 remains challenging. Facilitating real-time assessment of the health status in a given population, mobile health (mHealth)–supported syndrome surveillance might help identify disease conditions earlier and save lives cost-effectively.

Objective

This study aimed to evaluate the potential use of mHealth-supported active syndrome surveillance for COVID-19 early case finding in Addis Ababa, Ethiopia.

Methods

A comparative cross-sectional study was conducted among adults randomly selected from the Ethio telecom list of mobile phone numbers. Participants underwent a comprehensive phone interview for COVID-19 syndromic assessments, and their symptoms were scored and interpreted based on national guidelines. Participants who exhibited COVID-19 syndromes were advised to have COVID-19 diagnostic testing at nearby health care facilities and seek treatment accordingly. Participants were asked about their test results, and these were cross-checked against the actual facility-based data. Estimates of COVID-19 detection by mHealth-supported syndromic assessments and facility-based tests were compared using Cohen Kappa (κ), the receiver operating characteristic curve, sensitivity, and specificity analysis.

Results

A total of 2741 adults (n=1476, 53.8% men and n=1265, 46.2% women) were interviewed through the mHealth platform during the period from December 2021 to February 2022. Among them, 1371 (50%) had COVID-19 symptoms at least once and underwent facility-based COVID-19 diagnostic testing as self-reported, with 884 (64.5%) confirmed cases recorded in facility-based registries. The syndrome assessment model had an optimal likelihood cut-off point sensitivity of 46% (95% CI 38.4-54.6) and specificity of 98% (95% CI 96.7-98.9). The area under the receiver operating characteristic curve was 0.87 (95% CI 0.83-0.91). The level of agreement between the mHealth-supported syndrome assessment and the COVID-19 test results was moderate (κ=0.54, 95% CI 0.46-0.60).

Conclusions

In this study, the level of agreement between the mHealth-supported syndromic assessment and the actual laboratory-confirmed results for COVID-19 was found to be reasonable, at 89%. The mHealth-supported syndromic assessment of COVID-19 represents a potential alternative method to the standard laboratory-based confirmatory diagnosis, enabling the early detection of COVID-19 cases in hard-to-reach communities, and informing patients about self-care and disease management in a cost-effective manner. These findings can guide future research efforts in developing and integrating digital health into continuous active surveillance of emerging infectious diseases.
Using COVID-19 Vaccine Attitudes on Twitter to Improve Vaccine Uptake Forecast Models in the United States: Infodemiology Study of Tweets
Authors: Sigalo Nekabari , Awasthi Naman , Abrar Saad Mohammad , Frias-Martinez Vanessa
Published: June 2023

Background

Since the onset of the COVID-19 pandemic, there has been a global effort to develop vaccines that protect against COVID-19. Individuals who are fully vaccinated are far less likely to contract and therefore transmit the virus to others. Researchers have found that the internet and social media both play a role in shaping personal choices about vaccinations.

Objective

This study aims to determine whether supplementing COVID-19 vaccine uptake forecast models with the attitudes found in tweets improves over baseline models that only use historical vaccination data.

Methods

Daily COVID-19 vaccination data at the county level was collected for the January 2021 to May 2021 study period. Twitter’s streaming application programming interface was used to collect COVID-19 vaccine tweets during this same period. Several autoregressive integrated moving average models were executed to predict the vaccine uptake rate using only historical data (baseline autoregressive integrated moving average) and individual Twitter-derived features (autoregressive integrated moving average exogenous variable model).

Results

In this study, we found that supplementing baseline forecast models with both historical vaccination data and COVID-19 vaccine attitudes found in tweets reduced root mean square error by as much as 83%.

Conclusions

Developing a predictive tool for vaccination uptake in the United States will empower public health researchers and decisionmakers to design targeted vaccination campaigns in hopes of achieving the vaccination threshold required for the United States to reach widespread population protection.
Validation and Refinement of the Sense of Coherence Scale for a French Population: Observational Study (Preprint)
Authors: Sebo Paul , Tudrej Benoit , Bernard Augustin , Delaunay Bruno , Dupuy Alexandra , Malavergne Claire , Maisonneuve Hubert
Published: June 2023

BACKGROUND

Salutogenesis focuses on understanding the factors that contribute to positive health outcomes. At the core of the model lies the sense of coherence (SOC), which plays a crucial role in promoting well-being and resilience.

OBJECTIVE

Using the validscale Stata command, we aimed to assess the psychometric properties of the French version of the 3-dimension 13-item SOC questionnaire (SOC-13), encompassing the comprehensibility, manageability, and meaningfulness dimensions. We also aimed to determine if a refined scale, assessed through this method, exhibits superior psychometric properties compared to the SOC-13.

METHODS

A sample of 880 consecutive primary care patients recruited from 35 French practices were asked to complete the SOC-13. We tested for internal consistency and scalability using the Cronbach α and Loevinger H coefficients, respectively, and we tested for construct validity using confirmatory factor analysis and goodness-of-fit indices (root mean square error of approximation [RMSEA] and comparative fit index [CFI]).

RESULTS

Of the 880 eligible patients, 804 (91.4%) agreed to participate (n=527, 65.6% women; median age 51 years). Cronbach α and Loevinger H coefficients for the SOC-13 were all <0.70 and <0.30, respectively, indicating poor internal consistency and poor scalability (0.64 and 0.29 for comprehensibility, 0.56 and 0.26 for manageability, and 0.46 and 0.17 for meaningfulness, respectively). The RMSEA and CFI were >0.06 (0.09) and <0.90 (0.83), respectively, indicating a poor fit. By contrast, the psychometric properties of a unidimensional 8-item version of the SOC questionnaire (SOC-8) were excellent (Cronbach α=0.82, Loevinger H=0.38, RMSEA=0.05, and CFI=0.97).

CONCLUSIONS

The psychometric properties of the 3-dimension SOC-13 were poor, unlike the unidimensional SOC-8. A questionnaire built only with these 8 items could be a good candidate to measure the SOC. However, further validation studies are needed before recommending its use in research.
College Students’ Employability, Cognition, and Demands for ChatGPT in the AI Era Among Chinese Nursing Students: Web-Based Survey (Preprint)
Authors: Luo Yuanyuan , Weng Huiting , Yang Li , Ding Ziwei , Wang Qin
Published: June 2023

BACKGROUND

With the rapid development of artificial intelligence (AI) and the widespread use of ChatGPT, nursing students’ artificial intelligence quotient (AIQ), employability, cognition, and demand for ChatGPT are worthy of attention.

OBJECTIVE

We aimed to investigate Chinese nursing students’ AIQ and employability status as well as their cognition and demand for the latest AI tool—ChatGPT. This study was conducted to guide future initiatives in nursing intelligence education and to improve the employability of nursing students.

METHODS

We used a cross-sectional survey to understand nursing college students’ AIQ, employability, cognition, and demand for ChatGPT. Using correlation analysis and multiple hierarchical regression analysis, we explored the relevant factors in the employability of nursing college students.

RESULTS

In this study, out of 1788 students, 1453 (81.30%) had not used ChatGPT, and 1170 (65.40%) had never heard of ChatGPT before this survey. College students’ employability scores were positively correlated with AIQ, self-regulation ability, and their home location and negatively correlated with school level. Additionally, men scored higher on college students’ employability compared to women. Furthermore, 76.5% of the variance was explained by the multiple hierarchical regression model for predicting college students’ employability scores.

CONCLUSIONS

Chinese nursing students have limited familiarity and experience with ChatGPT, while their AIQ remains intermediate. Thus, educators should pay more attention to cultivating nursing students’ AIQ and self-regulation ability to enhance their employability. Employability, especially for female students, those from rural backgrounds, and students in key colleges, deserves more attention in future educational efforts.
The Empowered Pen: The Enduring contribution of women writers in Indian Literature
Authors: Taye Parishmita
Published: June 2023

The contribution of women in Indian literature has been pivotal, shaping and enriching the literary landscape of the nation. Over the years, women have played a significant and transformative role in the landscape of Indian literature, showcasing their creative abilities, resilience, and the feminine identity. Their contribution spans across various literary genres, including poetry, fiction, memoirs, and plays, highlighting diverse themes. This paper explores the invaluable contribution of women writers in Indian literature, throughout history to the contemporary era as well as displaying their unique perspectives, thematic explorations, and literary achievements. It also discusses the emergence of feminist literature in India, emphasizing how women writers have given voice to the marginalized and championed gender equality. Moreover, it aims to highlight the indelible mark left by women in Indian literature, emphasizing their phenomenal contributions in enriching the literary landscape, empowering generations, and fostering social progress.
Remnants of remembrance, a tale of camouflaging under the quest of identity for a relic of reminder in ‘Alam’s own house’ a work by Divyendu Palit
Authors: Roy Sayantani
Published: June 2023

lam’s own house’ is situated around the thematic demarcations of rootlessness and existential crux for identity engulfed in a sequence of nostalgia. The tedious process of relocation, the aloofness that follows it, and the attachment that strongly withholds the ground which is rigid on getting rid of the footprints, this short story reeks of a series of yearnings and remorse. The event of Partition has uprooted millions of people from their birthplace, transported them to a different location altogether, a point from where the search of individuality has begun. The acknowledgement may never happen, the boundaries may cease to make their presence felt after a while, but never does the forbidden signs of expressions ever leave the path.
Subtracção de menor por um dos pais:
Authors: Coutinho Ofélia
Published: June 2023

A subtracção gera desafios e perigos para a vítima que clamam por implementação de medidas mais efectivas em relação ao progenitor incumpridor da decisão judicial de regulação das responsabilidades parentais de modo a prevenir ofensas a bem jurídicos da vitima que se caracteriza pela sua vulnerabilidade em razão da sua idade dependência face ao progenitor. Questiona-se, tendo em referência a protecção dos direitos fundamentais do menor subtraído; as dificuldades probatórias que subjaz ao crime de subtracção de menor; a presunção da inocência a favor do arguido; a antecipação da tutela processual penal e a tomada das declarações do menor. a a intensidade e a relevância da lesão, face a uma vítima que se caracteriza pela sua vulnerabilidade. Em sede de conclusões, observa-se que a realidade fáctica subjacente à subtracção carece da introdução de mecanismos legais de tutela mais efectivos e abrangentes de prevenirem incumprimentos das decisões dos tribunais, com o fito de reforçar a protecção das crianças e dos pais vítimas deste tipo de crime no quadro do exercício do poder paternal.
Reporting of the results of internal investigations
Authors: Pawelec Szymon
Published: June 2023

This study examines whether internal investigations conducted as a result of cooperation between the company and prosecutors may conflict with the rights of individuals in criminal proceedings. It demonstrates how the post-Enron era emphasized the importance of internal investigations as a component of corporate criminal compliance systems worldwide, leading to more frequent cooperation between companies and prosecutors in launching internal investigations. The purpose of this publication is to show that they have led to abuse against individuals, who, because internal investigations are private and largely unregulated, do not have the same guarantees as in criminal proceedings. This article aims to critically evaluate the regulations that have been introduced in this area and to demonstrate the need for legislative changes in the countries which allow such cooperation but have not considered the risks that arise from the nature of internal investigations.
Fraud App Detection of Google Play Store Apps Using Decision Trees
Authors: Chandra Jalapathi Sharath
Published: June 2023

Abstract: Mobile applications have become an integral part of our lives, but it's challenging to determine their safety and reliability. To address this, a system has been developed that uses ratings, reviews, in-app purchases, and ads as parameters to predict app safety. Three machine learning models – Decision Tree, Logistic Regression, and Naïve Bayes - were compared to evaluate system effectiveness. The Decision Tree model performed the best, with 85% accuracy, an F1 score of 0.815, recall of 0.85, and precision of 0.87. These results highlight the reliability of the Decision Tree model for assessing app safety. Using machine learning models in this way automates evaluation and provides more accurate and consistent results. This system represents a promising step towards ensuring the safety and reliability of mobile applications, which are increasingly important in our daily lives
IOT Based Smart Home Energy Meter
Authors: Patanayak Adarsh , Nale Omkar , Mithe Govardhan
Published: June 2023

Abstract: During the on going time period the need of power i.e. electricity is growing exponentially due to the rapid usage of various technologies present around us. Due to this it has been a matter of worry for the developing and developed countries for need of rapid power outages. Solution for this was inferred as buyer send individuals to monitor their daily usage in their respective places. The project emphasizes on Smart Metering to ensure a cleaner and efficient transmission of power depending upon one’s use and to provide a sustainable development. The meters used since the starting of era don’t provide enough data for the buyer to be aware of the usage and what to or how to monitor the usage. Smart Meter helps the buyers to monitor them time to time usage and to remotely access their respective loads from anywhere. This project helps in obtaining a newer form of approach to the buyers to help the reduce the cost of usage of power and to help in sustainable development. In addition , we have implement system to monitor the use of each load so that the user can track daily energy consumption with the appropriate load.
A Comparison of Various Machine Learning Algorithms and Deep Learning Algorithms for Prediction of Loan Eligibility
Authors: S Archana
Published: June 2023

Abstract: Banking serves as a link between people who have money in excess and those who lack it for any reason, making it a crucial component of the entire financial system. People depend on banks to borrow money to meet their needs Banks provide money as loans with an interest rate that has to be repaid. The loans are approved by banks based on the borrower's numerous characteristics. The development of artificial intelligence gave financial organizations a method to broaden their lending practices without taking on excessive financial risk. The process can be sped up, made more effective, and less error-prone by using machine learning and deep learning models for loan approval. In this study, we compare ten Machine Learning models, including Decision Tree, Logistic Regression, K Nearest Neighbour (KNN), Random Forest Classifier, Support Vector Machine (SVM), Linear Discriminant Analysis (LDA), Gaussian Naive Bayes, XGBoost, Gradient Boosting, Adaboost, and Deep Learning models, including Deep Neural Network (DNN) and Long Short Term Memory network (LSTM), to predict loan applicants who deserve the money.
Packet Inspection to Identify Network Layer Attacks Using Machine Learning
Authors: Nagamani N. Siva , Narayana U. Satya , Ramesh D.
Published: June 2023

Abstract: With the advent of technology, computer networks have become an integral part of our lives. However, with the increase in the use of computer networks, network attacks have also increased. Network attacks can cause serious harm to network infrastructure, resulting in loss of data, financial loss, and reputation damage. In this paper, we propose a machine learning algorithm to analyze network packets to detect malicious activities that are aimed at disrupting the normal functioning of a network. Network layer attacks typically target the underlying infrastructure of a network, which includes the IP layer, transport layer, and network access layer. These attacks can cause various problems such as denial of service, data theft, and network downtime. To detect network layer attacks, the proposed approach involves extracting features from network packets. Features refer to the attributes or characteristics of a packet, such as the source and destination IP addresses, protocol type, payload size, etc. These features are then used to train a machine learning model to identify various network layer attacks such as DDoS, ARP spoofing, and ICMP attacks. The machine learning model uses these features to learn the patterns and behaviours of these attacks and uses this knowledge to detect them in real-time. The proposed approach is evaluated using various metrics such as accuracy, precision, recall, and F1-score. The evaluation results demonstrate that the proposed approach is effective in detecting network layer attacks and outperforms existing approaches. The proposed approach can be used to enhance network security and prevent network attacks.
ANALISIS KELAYAKAN USAHA BROILER PLASMA PT CIOMAS ADISATWA DENGAN SISTEM CLOSED HOUSE
Authors: Wijayanto Robby
Published: June 2023

Abstrak
Penelitian ini bertujuan Untuk menganalisis pendapatan dan menganalisis kelayakan usaha peternakan Broiler pola kemitraan PT. Ciomas Adisatwa. Penelitian ini dilaksanakan pada Peternakan milik Bapak Bambang Endarto selama 2 Periode pemeliharaan, bertempat di Jalan Raya Lengkong No 184, Dusun 1, Cipawon, Kecamatan Bukateja, Kabupaten Purbalingga, Jawa Tengah. Data yang digunakan dalam penelitian ini diperoleh dengan metode observasi dan wawancara. Variabel yang diamati adalah biaya produksi, penerimaan, pendapatan, R/C Ratio, dan Break Even Point. Hasil dari penelitian ini adalah pada periode pertama pendapatan mencapai Rp50.127.066,83,- dan pada periode kedua pendapatan mencapai Rp64.769.894,11,-. Pendapan Ini mengalami keuntungan. Hasil analisis kelayakan R/C ratio dan BEP, R/C Ratio menunjukkan peternakan layak dijalankan karena pada analisis R/C Ratio setiap periode mendapatkan nilai R/C > 1. R/C ratio didapati pada periode pertama sebesar 1,08 dengan dan pada periode kedua mendapatkan R/C ratio 1,10 dengan Pada analisis BEP menunjukkan minimal BEP unit pada periode pertama sejumlah 32.835,33 Kg sedangkan pada periode kedua sejumlah 32.001,54 Kg dan nilai BEP Harga pada periode pertama sejumlah Rp. 18.983,08,- sedangkan pada periode kedua sejumlah Rp. 18.674,69. Kesimpulan usaha Broiler dengan plasma PT Ciomas Adisatwa menggunakan sistem kandang closed house layak untuk digunakan.
Kata kunci : Broiler, Kelayakan Usaha, Kemitraan, Pendapatan
The role of a quality system in managing interface work
Authors: Lapidus Azariy A. , Ibrahim Ibrahim Fadhil Ibrahim , Fakhratov Mukhammet A.
Published: June 2023

Introduction. This article shows the importance of quality control for construction projects during the implementation phase, as the use of an appropriate quality control plan for the project allows us to obtain the required quality of work for the first time without the need to rework or modify it and thus reduce the cost of the work. Addressing quality management as a necessary measure for achieving cost-effective construction processes, reducing waste, and minimizing losses resulting from its absence, its significance lies in the fact that adopting this approach in work will increase profits by controlling resources and costs. Additionally, considering the work methodology is essential.

Materials and methods. The studied case is a three-storey villa project in Iraq. A quality control plan was developed for the implementation of the exterior coating of the type of stone facades, and after the completion of the work, quality control tools were used to check the quality of the coating implemented based on the plan, where the experimental approach was used.

Results. The main aim of quality control is to ensure product quality and at the lowest possible cost. In practice, this can only be achieved by controlling the production processes, so we studied the stability of the implementation process through the usage of statistical quality control tools, and all the results indicated that the process is statistically disciplined and stable. Reducing the tasks and activities necessary to transform inputs (raw materials) into valuable products or services for customers is essential. Quality requires getting things right the first time, which means reducing defects or rework and, consequently, minimizing costs.

Conclusions. A quality policy will lead to the correct use of resources and improve the quality of performance. It also has a positive impact on the overall cost of implementation within this study.
Kualitas Kecap Manis Berbahan Dasar Kluwek
Authors: Putri Ni Putu Jadeith Pramestya , Wirawan Putu Eka
Published: June 2023

Kluwek atau Pangi adalah bumbu otentik Indonesia. Penelitian ini memanfaatkan kluwek sebagai bahan utama kecap manis. Eksperimen dan observasi dilakukan guna mengetahui kualitas produk, daya tahan, dan pengaplikasiannya pada beberapa jenis makanan. Penelitian ini menggunakan 30 orang sebagai panelis dengan pengumpulan data berupa observasi dan kuisioner. Metode analisis data yang digunakan yaitu ; uji organoleptik dan uji daya tahan terhadap produk kecap manis ( P0) dan kecap manis kluwek (P1). Hasil penelitian ini yaitu kecap manis kluwek (P1) yang layak berdasarkan indikator kualitas, daya tahan dari kecap manis kluwek mencapai 14 hari dalam suhu lemari pendingin dan dapat diaplikasikan ke berbagai jenis masakan Indonesia dan Peranakan seperti; Nasi Goreng, Babi Kecap, Ayam Buah Kluak, Sate dan Mie Goreng.
 
Kluwek or Pangium is an Indonesian archipelago native spices. This research using pangium as main ingridients for sweet soy sauce. The aim of experiment and observation is for knowing the quality of product, food expire and the usage to several of dishes. This research took 30 peoples as sample with data collect method using observation and survey. The data analysis of this research is ; sensory testing and preservation testing of sweet soy sauce (P0) and pangium sweet soy sauce (P1). The result of this research is a proper pangium sweet soy sauce (P1) based on the food quality, pangium sweet soy sauce last for 14 days at the refrigerator and can be used for any kind of authentic or iconic Indonesian and Peranakan cuisines such as; Nasi Goreng, Babi Kecap, Ayam Buah Kluak, Sate dan Mie Goreng.
Educação em direitos humanos na formação docente para os anos iniciais: Ciência e arte no estudo da cultura alimentar
Authors: Pessoa Wilton Rabelo , Pereira Ramiely Yasmine Rosa
Published: June 2023

Neste trabalho, relatamos e discutimos uma experiência de formação inicial docente para os Anos Iniciais e Educação de Jovens e Adultos (EJA), voltada para a Educação em Direitos Humanos (EDH), a partir da relação entre Ciência e Arte, no trabalho com a cultura alimentar como tema de estudos. Para isso, assumimos a perspectiva de EDH para a transformação social e, em termos pedagógicos, a proposta CTS-ARTE e a interdisciplinaridade para repensar o currículo escolar. A prática de formação inicial contemplou o planejamento de atividades de ensino pelos licenciandos para desenvolvimento com estudantes dos Anos Iniciais e da EJA. Em termos pedagógicos, as propostas de EDH na escola contemplaram a abordagem de temas sociais com relações interdisciplinares entre Ciência e Arte. O estudo da cultura alimentar, no contexto da EDH, possibilitou dar visibilidade a pessoas envolvidas em práticas históricas e culturais relacionadas à alimentação. Concluímos que a inserção da EDH, a partir do diálogo Ciência e Arte, contribuiu tanto para a inserção de temas sobre alimentação e o empoderamento de pessoas e comunidades tradicionais, quanto para uma relação mais próxima dos licenciandos com o conteúdo de Ciências nos Anos Iniciais e na EJA.
SPATIAL DURBIN MODEL OF UNEMPLOYMENT RATE IN CENTRAL JAVA
Authors: Fauzi Fatkhurokhman Fauzi , Gabriella Hilary Wenur  , Rochdi Wasono
Published: June 2023

Unemployment is a labor problem that is often faced by developing countries like Indonesia. The number of unemployed in Indonesia has fluctuated from year to year, including in Central Java Province. One of the efforts made to overcome this problem is to know the factors that influence unemployment. The region effect greatly affects the open unemployment rate. Modeling involving area effects is very precise, one of which is the Spatial Durbin Model (SDM). In this study, modeling of the open unemployment rate was carried out using a spatial approach in each district/city in Central Java. The models used in this study are Ordinary Last Square (OLS), Spatial Auto Regressive (SAR), Spatial Error Models (SEM), Spatial Durbin Model (SDM), Spatial Error Durbin Model (SDEM). The five methods were evaluated using the Akaike Information Criteria (AIC). The spatial weighting used in this study is Queen Contiguity. Based on the smallest AIC value (115.42), the best method in this study is HR. Meanwhile, the significant factors are the percentage of labor force participation rate (X1), the number of poor people (X4), the lag of economic growth, the lag of poverty, and the lag of the district/city minimum wage
Adherence to the Treatment of Retinoblastoma in the Ivory Coast and the Democratic Republic of Congo: A retroprospective cohort study
Authors: Lukamba Robert , Budiongo Aléine , Monga Ben Bondo , Atteby Jean-Jacques , Bey Pierre , Chenge Gabrielle Borasisi , Desjardins Laurence , Doz Francois , Mwembo Albert Tambwe , Kabesha Théophille Amani , Luboya Oscar Numbi
Published: June 2023

Background: In high income countries, retinoblastoma is curable
in more than 95% of cases, whereas in low-income countries, mortality
remains high, especially when the diagnosis is made late or the
treatment is discontinued. The aim of this work was to determine the
factors associated with adherence to the treatment of retinoblastoma in
the Ivory Coast and the Democratic Republic of Congo (DRC).
Procedure: A retroprospective cohort study was carried out.
Data were collected from patient folders and follow-up records of
parents. Results: A total of 175 children with retinoblastoma
were registered from January 2013 to December 2015. Seventy-six children
(43%) were 5 years old and above. Care costs were covered by families
in 86.9% of cases. Chemotherapy refusal was recorded in 39 cases
(22.3%), and enucleation refusal was recorded in 79 cases (45.1%).
After 36 months of follow-up, we recorded 16.6% deaths, 27.4%
treatment dropouts, and 18.3% loss to follow-up after treatment. The
commonest cause for enucleation refusal was fear of infirmity, while
chemotherapy refusal and absconding treatment were due to financial
constraints. Conclusion: Poor adherence to retinoblastoma
management was due to financial constraints, and a lack of knowledge of
the disease and its treatment. Family psychosocial support is needed to
improve this condition.
Sharing space between native and invasive small mammals: Study of commensal communities in Senegal
Authors: Granjon Laurent , Artige Emmanuelle , Bâ Khalilou , Brouat Carine , Dalecky Ambroise , Diagne Christophe , Diallo Mamoudou , Fossati-Gaschignard Odile , Gauthier Philippe , Kane Mamadou , Husse Laëtitia , Niang Youssoupha , Piry Sylvain , Sarr Nathalie , Sow Aliou , Duplantier Jean-Marc
Published: June 2023

Urbanization processes are taking place at a very high rate, especially
in Africa, these. At the same time, a number of small mammal species, be
they native of invasive, take advantage of these human-induced habitat
modifications. They represent commensal communities of organisms that
cause a number of inconveniences to humans, including as potential
reservoirs of zoonotic diseases. We studied via live trapping and
habitat characterization such commensal small mammal communities in
small villages to large cities of Senegal, to try understand how the
species share this particular space. Seven major species were recorded,
with exotic invasive house mice (Mus musculus) and black rats (Rattus
rattus) dominating in numbers. The shrew Crocidura olivieri appeared as
the main and more widespread native species, while native rodent species
(Mastomys natalensis, M. erythroleucus, Arvicanthis niloticus and
Praomys daltoni) were less abundant and/or more localized. Habitat
preferences, compared between species in terms of room types and
characteristics, showed differences between house mice, black rats and
M. natalensis especially. Niche (habitat component) breadth and overlap
were measured. Among invasive species, the house mouse showed a larger
niche breadth than the black rat, and overall, all species displayed
high overlap values. Co-occurrence patterns were studied at the locality
and local scales. The latter show cases of aggregation (between the
black rat and native species, for instance) and of segregation (as
between the house mouse and the black rat in Tambacounda, or between the
black rat and M. natalensis in Kédougou). While updating information on
commensal small mammal distribution in Senegal, a country submitted to a
dynamic process of invasion by the black rat and the house mouse, we
bring original information on how species occupy and share the commensal
space, and make predictions on the evolution of these communities in a
period of ever-accelerating global changes.