bluuebunny/crossref_metadata_2025 huggingface dataset:
Botanicals from Aframomum letestuanum Gagnep. (Zingiberaceae) can overcome the multidrug resistance of Klebsiella species overexpressing AcrAB-TolC efflux pumps
Authors: Kengne Fonkou Gaelle , Matieta Valaire Y. , Mapie Tiwa Stephanie , Ngakam Ramelle , Megaptche Junior F. , Nayim Paul , Kuete Victor , Mbaveng Armelle T.
Published: August 2023

Background: Bacteria belonging to the genus Klebsiella have developed resistance mechanisms to clinically used antibiotics, leading to their loss of efficacy. In the present study, the in vitro antibacterial activity of methanol extracts from Aframomum letestuanum, as well as their modes of action against a panel of 14 bacterial species belonging to the genus Klebsiella including multidrug-resistant (MDR) phenotypes overexpressing efflux pumps were evaluated. Methods: The broth microdilution method was used to assess the antibacterial activities of plant extracts (botanicals), while standard experimental protocols were used to study modes of action. Harborne's qualitative reference methods were used to identify the major groups of secondary metabolites present in the botanicals. Results: Phytochemical screening revealed that botanicals contain alkaloids, terpenoids, phenols, flavonoids, tannins, saponins, and anthocyanins. Botanicals from A. letestuanum seed pulp and seed inhibited the growth of all the bacteria tested, with MICs ranging from 16 to 512 μg/mL (pulp) and 64 to 2048 μg/mL (seed). The pulp extract had excellent activity, with MIC values of 16 μg/mL against K2, 32 μg/mL against Kp 80, and Kp 126, and 64 μg/mL against Kp55, Kp63, and ATCC11296. The seed extract displayed a MIC of 64 μg/mL against Kp58 and Kp2. A. letestuanum seed pulp extract inhibited bacterial growth in the exponential phase and induced inhibition of ATPase-H+-dependent proton pumps in K. pneumoniae ATCC11296. Conclusion: Botanicals from A. letestuanum are potential phytomedicines that deserve further investigation to develop novel drugs to overcome the multidrug resistance of Klebsiella species. Keywords: Aframomum letestuanum; antibacterial; antibiotics; efflux pumps; multidrug resistance; Klebsiella species.
The Usage of the Bayesian Regression Model for Analyzing the Association between Social Health Insurance and Residential Status with Financial Status and Consumer Satisfaction in Northern Vietnam
Authors: SARI NI PUTU WULAN PURNAMA
Published: August 2023

The universal health coverage system was first launched in Vietnam in 2014. Since then, the implementation of social health insurance emerged across the country, raising the consumer satisfaction issue in the early stage, mainly due to the difficulties in insurance validation. One of the purposes of health coverage is to eliminate the financial issue/burden of getting proper health care in clinical or community settings. Still, the unequal geographical distribution of hospitals in Vietnam has created an inequality between non-residing and residing patients, impacting their financial status [1]. Rising issues related to this phenomenon have led Vuong et al. [1] to study the association between social health insurance and residential status with financial status and consumer satisfaction in Northern Vietnam. Results showed that residential status and valid insurance status were negatively correlated with the impoverishing risk. Consumer satisfaction was negatively correlated with residential level but positively correlated with higher socioeconomic status and insurance validity. Averagely, consumer satisfaction was lower in recovered and early-quitting individuals compared to those who needed follow-up and give-up-in-the-middle individuals [1]. These findings benefit policymakers in adjusting related policies regarding the unequal geographical distribution of hospitals and healthcare quality to support an adequate health coverage system implementation across Vietnam.
New Tax Thinking for a Circular Economy: Proposing innovative tax strategies that incentivize circular business models, encouraging product reuse, recycling, and remanufacturing while discouraging linear consumption patterns
Authors: Ali Mujahid
Published: August 2023

New Tax Thinking for a Circular Economy: Proposing innovativetax strategies that incentivize circular business models, encouragingproduct reuse, recycling, and remanufacturing while discouraginglinear consumption patterns
Exploring Application of LLMs and AI-based Models in Addressing EDI Concerns
Authors: Kunuku Mourya Teja , Dehbozorgi Nasrin
Published: August 2023

Exploring Application of LLMs and AI-basedModels in Addressing EDI Concerns
Mahir Tata Bahasa Inggris in One Hour
Authors: Khikmiyah Siti , Prastyo Hari
Published: August 2023

Buku ini membahas tentang Tata Bahasa Ibggris untuk tingkat dasar.
Transformative Effects of COVID-19 on Healthcare Systems
Authors: Salman muhammad
Published: August 2023

The global healthcare landscape has undergone an unprecedented metamorphosis due to the COVID-19 pandemic, revealing vulnerabilities, sparking innovation, and necessitating adaptive strategies. This crisis's impact extends beyond immediate health concerns, influencing healthcare delivery, policy, and infrastructure. Healthcare systems faced overwhelming strain, resulting in improvised medical units and resource allocation shifts. The pandemic prompted the deferral of non-urgent medical procedures, while telehealth integration surged, reshaping patient-doctor interactions. Fragile supply chains underscored the need for enhanced resilience measures. Mental health challenges highlighted the importance of comprehensive care, and healthcare workers exhibited remarkable resilience. Collective efforts accelerated scientific advancements, yielding swift vaccine development. Existing health inequalities were exacerbated, underscoring the urgency of equitable healthcare provision. Policy reforms and global cooperation played pivotal roles. A paradigm shift emerged, emphasizing digital innovation in healthcare. The pandemic's repercussions underscore the significance of adaptability, collaboration, and ensuring fair access to care.
Tweet Sentiment Extraction using Viterbi Algorithm with Transfer Learning
Authors: Baklouti Zied
Published: August 2023

Tweet sentiment extraction extracts the most significant portion of the sentence, determining whether the sentiment is positive or negative. This research aims to identify the part of tweet sentences that strikes any emotion.To reach this objective, we continue improving the Viterbi algorithm previously modified by the author to make it able to receive pre-trained model parameters. We introduce the confidence score and vector as two indicators responsible for evaluating the model internally before assessing the final results. We then present a method to fine-tune this nonparametric model. We found that the model gets highly explainable as the confidence score vector reveals precisely where the least confidence predicted states are and if the modifications approved ameliorate the confidence score or if the tuning is going in the wrong direction.
BROSUR MENU LEZAT, BERGIZI, MURAH, DAN MUDAH : "URAP KELOR"
Authors: Wahyuni Maria Magdalena Dwi
Published: August 2023

Urap Kelor adalah inovasi menu baru yang dibuat berdasarkan kebutuhan masyarakat dengan ketersediaan yang mudah didapatkan. Menu ini sehat, bergizi lengkap, murah biayanya dan sangat mudah cara membuatnya. Menu ini sudah dipraktekkan pada salah satu UMKM di Desa Tablolong Kabupaten Kupang NTT dan mendapatkan respon dan antusias masyarakat yang positif.
Navigating Taxation Complexity in the Circular Economy: Lessons from Jordan: Examining the challenges faced by businesses in Jordan when transitioning to circular practices and the role of tax policies in facilitating or hindering this shift
Authors: Ali Hassan
Published: August 2023

Navigating Taxation Complexity in the Circular Economy: Lessonsfrom Jordan: Examining the challenges faced by businesses inJordan when transitioning to circular practices and the role of taxpolicies in facilitating or hindering this shift
Taxation Challenges for Circular Economy Adoption in the USA: Identifying and addressing the obstacles that hinder the integration of circular economy practices in the United States from a taxation perspective
Authors: Mujahid Junaid
Published: August 2023

Taxation Challenges for Circular Economy Adoption in the USA:Identifying and addressing the obstacles that hinder the integrationof circular economy practices in the United States from a taxationperspective
Report on Landsat 8 and Sentinel-2B observations of the Nord Stream 2 pipeline methane leak
Authors: Dogniaux Matthieu , Maasakkers Joannes , Varon Daniel , Aben Ilse
Published: August 2023

In late September 2022, explosions of the Nord Stream pipelines caused what could be the largest anthropogenic methane leak ever recorded. We report on Landsat 8 (L8) and Sentinel-2B (S-2B) observations of the sea foam patch produced by the Nord Stream 2 (NS2) leak located close to Bornholm Island, acquired on September 29 and 30, respectively. Usually, reflected sunlight over sea is insufficient for these Earth-imagers to observe any methane signal in nadir-vewing geometry. However, the NS2 foam patch observed here is bright enough to possibly allow the detection of methane above it. We apply the Multi-Band Single-Pass (MBSP) method to infer methane enhancement above the NS2 foam patch and then use the Integrated Mass Enhancement (IME) method in an ensemble approach to estimate methane leak rates and their uncertainties. This very specific NS2 observation case challenges some of MBSP and IME implicit hypotheses, and thus calls for customized calibrations: (1) for MBSP, we perform an empirical calibration of sea foam albedo spectral dependence by using sea foam observations in ship trails, and (2) for IME, we yield a tailored effective wind speed calibration that accounts for a partial plume observation, as methane enhancement may only be seen above the NS2 sea foam patch. Due to large uncertainties, no firm conclusion can be drawn from the single overpasses of L8 and S-2B. However, if we opportunistically assume that the L8 and S-2B methane leak rates are independent, we obtain a positive leak detection with a weak confidence, showing an averaged dual-overpass (L8 and S-2B combined) NS2 methane leak rate of 415 +/- 321 t/hr. Overall, our work illustrates how implicit method hypotheses need to be considered and compensated for in unusual observation cases such as this one.
Improving Weather Prediction Technologies: Establishing a Relationship between Air Pollution and Weather Phenomena
Authors: Sriram Raghav
Published: August 2023

The primary focus of this research is to establish a link between air quality, weather patterns, and climate dynamics. Employing a correlative methodology, the study aims to investigate the association between air pollution levels and the occurrence frequency of acid rain events. To accomplish this, extensive quantitative meteorological data gathered from weather stations situated in the Midwestern United States over a span of five years will be analyzed. The ultimate objective of this research paper is to underscore the significance of incorporating air particulate matter considerations in weather forecasting and prediction models, highlighting its potential implications for making atmospheric and weather assessments.
Changing your mind about the data: Updating sampling assumptions in inductive inference
Authors: Hayes Brett , Pham Joshua , Lee Jaimie , Perfors Andrew , Ransom Keith , Connor Desai Saoirse
Published: August 2023

When people use samples of evidence to make inferences, they consider both the sample contents and how the sample was generated (“sampling assumptions''). The current studies examined whether people can update their sampling assumptions – whether they can revise a belief about sample generation that is discovered to be incorrect, and reinterpret old data in light of the new belief. We used a property induction task where learners saw a sample of instances that shared a novel property and then inferred whether it generalized to other items. Assumptions about how the sample was selected were manipulated between conditions: in the property sampling frame condition, items were selected because they shared a property, while in the category sampling frame condition, items were selected because they belonged to a particular category. Experiment 1 found that these frames affected patterns of property generalization regardless of whether they were presented before or after the sample data was observed: in both cases, generalization was narrower under a property than a category frame. In Experiments 2 and 3, an initial category or property frame was presented before the sample, and was later retracted and replaced with the complementary frame. Learners were able to update their beliefs about sample generation, basing their property generalization on the more recent correct frame. These results show that learners can revise incorrect beliefs about data selection and adjust their inductive inferences accordingly.
A tutorial on Bayesian inference for dynamical modeling of eye-movement control during reading
Authors: Engbert Ralf , Rabe Maximilian M.
Published: August 2023

Dynamical models are crucial for developing process-oriented, quantitative theories in cognition and behavior. Due to the impressive progress in cognitive theory, domain-specific dynamical models are complex, which typically creates challenges in statistical inference. Mathematical models of eye-movement control might be looked upon as a representative case study. In this tutorial, we introduce and analyze the SWIFT model (Engbert et al., 2002, 2005), a dynamical modeling framework for eye-movement control in reading that was developed to explain all types a saccades observed in experiments from an activation- based approach. We provide an introduction to dynamical modeling, which explains the basic concepts of SWIFT and its statistical inference. We discuss the likelihood function of a simplified version of the SWIFT model as a key foundation for Bayesian parameter estimation (Rabe et al., 2021; Seelig et al., 2020). In posterior predictive checks, we demonstrate that the simplified model can reproduce interindividual differences via parameter variation. All computations in this tutorial are implemented in the R-Language for Statistical Computing and are made publicly available. We expect that the tutorial might be helpful for advancing dynamical models in other areas of cognitive science.
Effects of masculinity vs. femininity on competence judgment of politician faces and election outcome prediction
Authors: Cheung Olivia S. , Jintcharadze Davit
Published: August 2023

First impressions of politician faces can be effective in predicting election outcomes, based on perceived competence from candidate photographs. However, it remains unclear whether such effects arose from facial features or other non-facial information present in the photographs (e.g., hairstyles, clothes, or poses). In four pre-registered studies, participants completed two tasks in a counter-balanced order: rating competence of individually presented faces and predicting election outcome of each pair of winner and runner-up faces. We examined competence judgment and election outcome prediction on faces from male politicians depicted on original portraits (Experiment 1), or on computer-generated faces with facial features extracted from the portraits (Experiment 2). The faces were then either masculinized or feminized (Experiments 3 and 4). We found that competence ratings were significantly higher for winners than runners-up and that winners were more likely predicted to win the elections than runners-up in all but Experiment 4, where faces of the winners were feminized and faces of the runners-up were masculinized. Regardless of facial feature changes, correlations were found between competence ratings and election outcome prediction. These findings suggest that facial features are critical for evaluating competence and predicting election outcome, and that masculine features may enhance stereotypical leadership impressions.
Informe: Protocolo avanzado para la creación y validación del Cuestionario Madrid de Sentimiento de Soledad (CMSS)
Authors: Zubiaur Elena Díaz , González-Espejito Francisco , Martínez Josselyn V. Sevilla , Haro León Agustín , Pedrero-Pérez Eduardo J. , Calatrava-Sánchez Javier , Rodríguez Laura Esteban , López Elena Lillo , Novalbos Gema Blasco
Published: August 2023

El objetivo de este proyecto ha sido avanzar en la confección de un cuestionario desarrollado previamente con el propósito de que sea capaz de estimar el sentimiento de soledad en todas las edades y en el momento actual. Para ello, se planea realizar un estudio psicométrico avanzado que permita explorar, de manera adecuada al formato del cuestionario, características como la fiabilidad y algunos tipos de validez.
It's not just what we don't know: The mapping problem in the acquisition of negation
Authors: Gomes Victor , Doherty Rebecca , Smits Daniel , Goldin-Meadow Susan , Trueswell John , Feiman Roman
Published: August 2023

How do learners learn what no and not mean when they are only presented with what is? Given its complexity, abstractness, and roles in logic, truth-functional negation might be a conceptual accomplishment. As a result, young children’s gradual acquisition of negation words might be due to their undergoing a gradual conceptual change that is necessary to represent those words’ logical meaning. However, it’s also possible that linguistic expressions of negation take time to learn because of children’s gradually increasing grasp of their language. To understand what no and not mean, children might first need to understand the rest of the sentences in which those words are used. We provide experimental evidence that conceptually equipped learners (adults) face the same acquisition challenges that children do when their access to linguistic information is restricted, which simulates how much language children understand at different points in acquisition. When watching a silenced video of naturalistic uses of negators by parents speaking to their children, adults could tell when the parent was prohibiting the child and struggled with inferring that negators were used to express logical negation. However, when provided with additional information about what else the parent said, guessing that the parent had expressed logical negation became easy for adults. Though our findings do not rule out that young learners also undergo conceptual change, they show that increasing understanding of language alone, with no accompanying conceptual change, can account for the gradual acquisition of negation words.
Latent Cumulative Disadvantage: U.S. Immigrants’ Reversed Economic Assimilation in Later Life
Authors: Ye Leafia
Published: August 2023

One of the most salient findings in research on immigration has been that immigrants experience substantial economic mobility as they accumulate more years in the host-society labor force and eventually approach earnings parity with their native-born counterparts. However, we do not know whether this progress is sustained in retirement. In this paper, I develop a model of Latent Cumulative (Dis)advantage and hypothesize that even as immigrants are approaching parity with the native-born in terms of current earnings, they accumulate disadvantages in lifetime earnings, job benefits, and retirement planning that eventually lead them to have growing disadvantages in income in later life. Drawing on decades of longitudinal data from the Health and Retirement Study, I find that while foreign- and native-born men in the U.S. both experience a decline in income after age 50, the decline is much more substantial among foreign-born men. As a result, immigrant men’s economic assimilation is reversed in later life. I find evidence that this phenomenon is driven mainly by immigrants’ lower lifetime earnings and cumulative exposure to worse job benefits. Given that the foreign-born elderly population in the U.S. is projected to quadruple by 2050, findings from this paper have important implications for long-term policy planning.
Sovershenstvovanie deiatel'nosti organov gosudarstvennoi vlasti po protivodeistviiu terrorizmu sredi naseleniia v Primorskom krae
Authors: Shpak Aleksandr Sergeevich
Published: August 2023

The purpose of the study was to identify the problematic area of activity of state authorities to counter terrorism among the population in the Primorsky Territory. As a result of the study, it was found that the ongoing preventive measures to counter terrorism among the population of the region are not able to reduce the number of registered crimes of a terrorist nature. Based on the results obtained, it is recommended that the state program of Primorsky Krai «Safe Land» include measures related to monitoring the situation, identifying and eliminating factors that contribute to the emergence and spread of the ideology of terrorism.
Problems of Technological and Food Sovereignties in the Restaurant Business
Authors: Ziukina Svetlana Leonidovna , Mazikina Alina Aleksandrovna , Mirzaeva Natalia Rustamovna
Published: August 2023

The chapter deals with such concepts as import substitution, food and technological sovereignties. One of the tools supporting technological and food sovereignty is software and locavore. This conceptual apparatus is analyzed. The directions of the economic development of the Russian Federation at the present time are demonstrated. The historical origins of the origin of locavorism are investigated. Its principles of action are determined, the advantages and disadvantages of this tool are demonstrated. As a result of sociological research, the motivations of consumer behavior for the use of locavore were determined, these motivations are ranked in accordance with the degree of importance for the buyer. The results of several studies conducted in America and England are given. The relevance and necessity of using the tool at the present time is proved. In addition, the role and problems of Russian farming are considered as the basis for the development of locavore. The problems in the interaction of farms with restaurants are Identified. Examples of the use of successful locavorism in the Russian and global restaurant business are given. The main advantages are generalizing given when using the tools of the program of technological and food sovereignty, which the Russian Federation has taken a course, which can lead to the socio-economic success and sustainable development of country.
Meropriiatiia po sovershenstvovaniiu obespecheniia finansovoi bezopasnosti Rossii
Authors: Ailarova Zarina Alikovna
Published: August 2023

The scope of security discussed in the chapter is an actual subject of research by scientists, specialists in economics and finance, government managers, political scientists, sociologists and the like. The interest in security in scientific research is a relatively new direction and is due to the actualization of the problems of the preservation and development of the individual, citizen, society, state, nation and civilization as a whole.
Metodologicheskie podkhody k issledovaniiu strukturnoi dinamiki v ekonomike intellektual'noi sobstvennosti
Authors: Aleksandrova Anna Vladimirovna
Published: August 2023

The chapter discusses the methodology of measuring and monitoring the structural dynamics of economic systems is considered. It is proposed to generalize the existing models of indicators for assessing structural changes into three main groups: index, spatial-geometric and matrix. It is demonstrated that structural shifts in the economy of intellectual property are realized both at the level of patenting subjects and at the level of intellectual property rights objects. It is proposed to apply an approach to the study of the structural dynamics of the intellectual property economy, where structural changes are considered as a «factor-influence» – «factor-result».
Clinical Characteristics and Factors Associated with Mortality of Patients with COVID-19 at Bussarakham Field Hospital: Thailand
Authors: Agsornwong Kittisak , Morasert Thotsaporn , Limsommut Kornkrit , Nitikaroon Phongsak , Akaraborworn Osaree , Srisompong Jintana , Deesiri Direk , Chuencharoensuk Kavalin , Sangnak Kanchanat , Chierakul Nitipatana , Iamsirithaworn Sopon
Published: August 2023

Objective: During the third and fourth wave of the coronavirus disease 2019 (COVID-19); from April to September 2021 all hospitals in Bangkok Metropolitan Region reached surge capacity. Hence, Bussarakham Field Hospital (BH) was established to address this crisis. This study aimed to identify factors associated with in-hospital mortality in BH, Thailand’s largest field hospital for COVID-19. Material and Methods: This was a retrospective study among all adult COVID-19 patients, confirmed by Reverse transcription-polymerase chain reaction (RT-PCR), admitted to BH from May to September 2021. The data on potential factors associated with treatment outcome (survived or deceased) were retrieved from the standard admission records for COVID-19 and discharge summaries. A multivariable logistic regression model was performed to explore factors associated with in-hospital mortality. Results: A total of 18,173 patients were enrolled with death occurring in 224 patients during hospitalization. The mortality rate was 1.23%. The adjusted odds ratios (95% CIs) of male gender, aged >65 years, having diabetes mellitus, pregnancy, lower respiratory tract (LRT) symptoms at initial presentation, pneumonia with hypoxemia at initial presentation were: 1.91 (1.35, 2.70), 5.37 (3.75, 7.69), 2.55 (1.75, 3.71), 6.40 (2.15, 19.08), 2.81 (1.88, 4.19) and 3.11 (1.35, 7.15) respectively. Conclusion: The pre-existing factors that increased mortality risk consisted of elderly age, diabetes mellitus and pregnancy. In addition, patients who presented with LRT symptoms or pneumonia with hypoxemia also had a higher mortality risk. Therefore, clinical triage should be carefully performed in field hospitals during any pandemic.
Improving data quality using techniques from human computation
Authors:   Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi Pakistan, Kirpalani Vikram Kumar , Saif-ur-Rahman Saif-ur-Rahman ,   Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi Pakistan
Published: August 2023

The DBpedia is an open data repository extracted from a crowd sourced Knowledge base Wikipedia, because of which the information available there is more vulnerable to inconsistency, grammatical errors, structures and, data type problems. These are just a few issues that existing data is prone to. In this research, our prime focus would be on Data type problems, particularly, the problem of one attribute containing multiple facts. Proposed is the approach in which the issue of Inconsistent behavior of the desired output is addressed and improved, on the idea based on concept hierarchy i.e. association of Parent - Child relationship by employing Human computation and the confidence, and trust of the output has been calculated, out of which the Hierarchies of the entities could be maintained in the form of Triples which could be used to mapped on other data to led the data out of the problem of Implicit type of relationship between attributes.
Verifying Practical Implementation Of QA Process Of Mechanical Component By Using Digital Image Processing
Authors:   Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi Pakistan, Badar Nazim
Published: August 2023

Manufacturing industry in need of a system to meet their quality assurance requirements specially when they have to produce quality and precise components which require to be used in mechanical machines. To reach this quality standard there is a need to solution which enable manufacturing industry to overcome speed and accuracy requirements. Inspection of quality parameters in mechanical components is very difficult and time consuming process. Computer vision / Image processing may contribute key role in developing solution through which quality assurance process become easy and fast.
Standardized Software Development Model For SME Software Houses In Pakistan
Authors:   Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi Pakistan, Mansoori Asif , Tayab M. Ejaz ,   Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi Pakistan
Published: August 2023

There are many software development models that exist for software development like Extreme Programming, Waterfall, Spiral, Agile, RAD, SCRUM etc. These models are very useful for development but its usefulness varies from company to company in nature of product and services of companies. When we talk about software development in Pakistan then there are no specific or standard model followed by most of the software Development Companies due to which they are facing many problems regarding development and deployment of software and at the end did not succeed to maturity level, as a whole there are lacking in standardization of software model in Pakistan. Subsequently, the customer also suffers and reluctant to avail long-term business. This study focus and cover software development procedure that are followed by small and middle level software houses like how to overcome risk management factor in software development, how to improve software development process. My target is to counter those software houses that work on limited scope software but as all software are important for the industry and for the growth of that software house, they must follow some standards and best practices that are built on their ethics and culture so that they can be known as the software houses that fulfil the maturity level. Since every country has its own ethics and goals so here the study will cover the software houses in Pakistan and proposed a SDLC model that lead them to achieve successful maturity level. Since the study assume the company size to be 30-40 employees as it is suggested to be SME. The major reason of selecting the ratio of 30 – 40 is that the companies from where I have conducted the research are small SME’s and average company size of SME’s are 30 to 40 employees.
Enhancement in existing agile methodology to counter the issues and challenges in QA process
Authors:   Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi Pakistan, Khanani Ali Ashraf , Tayyab M. Ejaz ,   Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi Pakistan
Published: August 2023

The title of my research paper is ―Enhancement in existing Agile Testing methodology to counter the issues and challenges in QA process‖. In this research study I have worked on the issues that are faced by QA teams during agile methodology processes and have identified ways of improvement in current agile frameworks that is being used. The solution to counter the challenges and issues during testing phase is proposed to improve the time constraint in a testing environment and making testing an easy and effective job in terms of cost and time constraints in an agile environment where deadlines are very strict and time is always short. At the end, there is a survey and interview with domain expert to analyze the results achieved and to prove the hypothesis of my research.
Comparative analysis of traditional telephone and VoIP systems
Authors:   Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi Pakistan, Sajjad Syed Mohammad Raza , Dilber Muhammad Naveed ,   Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi Pakistan
Published: August 2023

Pakistan is in the period of upgrading communication infrastructure. Therefore many communication techniques are taking birth day by day and building the effective way of communication and one of many is IP Telephony system. In Pakistan the adoption of IP telephony is slow because of variety of reasons, but the main factor is the reliability of legacy phone systems. With a weak economy in Pakistan, the management team of organizations is happy to get as much mileage as possible out of their existing infrastructure, and if the legacy phones are working fine, IT team will need a really strong reason to change it to IP telephony. The purpose of this independent study is to drive the correct adoption of new IT & communications technologies in Pakistan to enable increased productivity and added value for businesses. This paper investigates the issues of service quality and cost lie in Pakistan and on the basis of this issues what steps we need to consider while deciding to implement VoIP. After implementation of VoIP in two different organizations and we then analysis their comparative results with legacy phone systems.
Clustering textual documents by extracting sequence from word-of-graph
Authors:   Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi Pakistan, Fazal Murtaza Munawar , Rafi Muhammad ,   Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi Pakistan,   Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi Pakistan
Published: August 2023

Document clustering is an unsupervised machine learning technique that organizes a large collection of documents into smaller, topic homogenous, meaningful sub-collections (clusters). Traditional document clustering approaches use extracted features like: word (term), phrases, sequences and topics from the documents as descriptors for clustering process. These features do not consider the relationship among different words that are used to convey the contextual information within the document. Recently, Graph-of-Word approach is introduced in information research; this approach addresses the problem of independence assumption by building a graph of word from the words that appeared in a document. Hence, the relationships among words are captured in the representation. It is an un[1]weighted directed graph whose vertices represent unique terms and whose edges represent co-occurrences between the terms. The representation is simplified by using a sliding window of size = 3 with the text of the document. This paper uses a sequence based-representation of document that is extracted from graph[1]of-word of the document. A similarity measure is defined over the common sequences between two documents. The proposed approach is implemented and tested on standard text mining datasets. A series of experiments reveal that the proposed approach outperforms the traditional approaches on clustering measures like: Purity, Entropy and F-Score.
Repercussion Of Program Generated Objects In Smooth Operations Running From Disaster Recovery Site
Authors:   Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi, Pakistan, Ashraf Muhammad Junaid , Mukati Mohammad Altaf ,   Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi, Pakistan
Published: August 2023

The disaster could happen at any point of time and due to which there could be financial loss in addition to operational loss, considering 24/7 banking environment and having its branches in different parts of world. The risk involved in financial loss may be very high and could result in unbearable loss. In such cases where organizations have zero downtime and having high availability of data, the disaster recovery mechanism and data replication scope has to be well defined and should be strictly followed. Assuming that the network, storage and hardware is available at DR site and the replication of critical data is also verified but still there are several objects left behind which were not covered under replication scope. These objects were created by programs themselves while executing (not in replication scope). In such case the successful switch might not be called as successful because those objects will not be available at DR site and may lead to business interruption or financial loss. This problem arises when developers have access on production servers and they create new libraries/objects for their program execution without informing the implementers through proper change management process. In this paper we will provide the guidelines and framework for deployment of programs on production servers also the guide for smooth switching (change of role) of entire core banking environment running on IBM System-i to DR site.
Atmosfera modificada e diferentes temperaturas de armazenamento no rabanete fertilizado com biofertilizante
Authors: Patrocinio William Cezar Trindade do , Dias de Sousa Kedinna , Rocha de Castro Sofia , Dos Reis Nascimento Abadia , Barboza de Souza Eli Regina , Alves da Silva Flávio
Published: August 2023

O objetivo do trabalho é verificar o efeito do uso de diferentes embalagens e temperaturas no armazenamento de raízes de rabanete fertilizadas com urina de vaca na pré-colheita. Adotou-se o delineamento inteiramente casualizado em esquema fatorial triplo 3x3x6 e três repetições. Os tratamentos consistem em dois tipos de embalagem (bandeja de poliestireno expandido + policloreto de vinila e pote de polipropileno) e a testemunha (sem embalagem), três temperaturas de armazenamento (5, 11 e 25ºC) e seis tempos de análises (0, 6, 12, 18, 24 e 30 dias), armazenados em B.O.D. a 80±2% UR. As embalagens de polipropileno e poliestireno expandido, associadas às temperaturas de 5 e 11ºC, foram eficazes na manutenção de sólidos solúveis, acidez titulável, pH, firmeza, luminosidade, croma e ºhue. O biofertilizante pode ter contribuído para a manutenção da firmeza, porém infere-se que o biofertilizante diminuiu os teores iniciais de sólidos solúveis e aumentou a acidez nos rabanetes.
PRIORITIZING TASKS IN INFORMATION SYSTEM PROJECTS: A NOVEL APPROACH USING VIKOR METHOD
Authors: Wicaksono Soetam Rizky
Published: August 2023

Information Systems (IS) projects often face significant challenges, with many failing to meet their objectives. One of the key factors contributing to these failures is the improper prioritization of tasks. This article addresses this issue by proposing a comprehensive approach to task prioritization in IS projects using the VIKOR method. The approach takes into account four key criteria - cost, time, risk, and complexity - and uses the VIKOR method to rank tasks based on these criteria. The VIKOR method provides a systematic and objective way of prioritizing tasks, ensuring effective resource allocation, appropriate risk management, and the achievement of strategic objectives. The application of the VIKOR method in the context of IS projects is a novel contribution of this article. However, it is also recognized that the proposed approach has its limitations and that further research is needed to consider additional criteria, explore other decision-making methods, and examine the dynamic nature of IS projects. Overall, this article contributes to the growing body of knowledge on project management in IS and provides a practical tool for project managers to improve their decision-making processes.
IMPLEMENTASI DIGITAL IMAGE PROCESSING SEBAGAI PENDETEKSI POSISI MATAHARI PADA PERANCANGAN DUAL AXIS SOLAR TRACKER
Authors: Christian Devith , Budhi Santoso Dian , Rahmadewi Reni
Published: August 2023

One of the uses of new renewable energy (EBT) in Indonesia which has great potential is solar panels. Solar panels are electrical devices that are used to convert solar energy into electrical energy. The limited surface area of the panels requires users to be able to pay attention to the work efficiency of solar panels. The aspect that has the most influence on optimizing the efficiency of solar panel performance is the placement of the surface of the solar panel against incoming solar radiation. Therefore, it is necessary to have a method to detect the position of the sun to provide input to the actuator so that the surface of the solar panel is positioned in the direction of the sun's rays. This study describes the accuracy of detecting the position of the sun using digital image processing methods. This process needs to be done as a reference in designing a dual axis solar tracker. Detection of the sun's position using this method gets 100% accurate results in cloudless sky conditions and gets 80% success results in cloudy sky conditions.
ANALISIS SENTIMEN PRODUCT TOOLS & HOME MENGGUNAKAN METODE CNN DAN LSTM
Authors: Ahmad Safrizal , Ridwan Ahmad Maulid , Setyawan Gilang Dwi
Published: August 2023

Sentiment analysis is gaining popularity as the number of internet users increases. Internet users often express their opinions through reviews on websites. The customer opinions expressed have a huge impact on sellers and customer numbers, as many consumers rely on online reviews as a reference when purchasing products. In order to quickly understand sentimental views and tendencies towards a product or event, a text sentiment analysis is performed on the opinions expressed by users. Sentiment analysis focuses on understanding the sentiments contained in the text. One common approach in sentiment analysis is to use Deep Learning (DL) models. This study aims to analyze product sentiment in the Tools & Home category from Amazon using models such as Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM). The CNN model is used to extract features from words that reflect short-term sentiment dependencies, while LSTM is used to establish long-term sentiment relationships between words. CNN and LSTM are sophisticated DL models, capable of efficiently processing text data and recognizing relationships and patterns that exist at various levels of abstraction. The purpose of this study is to understand the differences in the performance of the DL model in conducting sentiment analysis, it is hoped that it can also be a reference for those who plan to apply other DL models.
Prototype of AC Microgrid Solar Power Plant with Off-Grid System
Authors: Marhatang Marhatang , Yunus A.M Shiddiq , Djalal Muhammad Ruswandi , Alkautsar Rifaldi , Caturindah Winarty
Published: August 2023

AC microgrid solar power plants can be used as an alternative to overcome the problem of unevenly distributed electricity demand in Indonesia. Prior to implementation, a model or prototype is required to test and provide insights about the solar power plant's functionality as an electric energy generator. The aim of this research was to develop a solar power plant for AC loads and assess the performance of AC Microgrid solar power plants using an Off-grid system. The test results lead to the conclusion that the efficiency of the AC Microgrid solar power plant with the Off-grid system is highly dependent on the intensity of solar radiation, whether it is high or low, striking the panel. The solar panel efficiency ranged from a maximum of 5.54% to a minimum of 4.16%, while the system efficiency varied between a maximum of 8.65% and a minimum of 7.95%.
‘The Unavoidable Order of Things’: Fabricated Resistance in George Orwell’s 1984
Authors: Frauen Jan-Boje
Published: August 2023

This essay reclaims _1984_ (1949) from recent reinterpretations by critics that locate it in the ‘fairy tale’ (Bowen) mode of the Gothic fantastic. Orwell’s famous dystopia, it is argued, is a treatise of philosophy and social criticism that depicts a future superorganism, a society in which a totality of social determinism has created a new species of human being that is entirely constructed by the totalitarian superstructure that Orwell saw emerging.

It is argued that even the triangle of ‘thought-criminals’ who seem to have stepped out of Big Brother’s ‘collective solipsism’ and reconstructed their identities as historical persons, Winston Smith, Julia and O’Brien, are collaboratively acting out a bizarre drama entirely scripted by ‘Big Brother’ to provide an antithesis to the Party. This antithesis is a necessary mechanism for ‘Ingsoc’s’ internal stability and thus part of ‘Oceania’s’ inherent logic. All three of them own dissociative identities split between ‘crimethink’ and ‘Thought Police’ and betray their rebellion.

In its outlook, the essay discusses Orwell’s relevance today.
MedVet ensina: ações de educação em saúde para promoção do bem-estar animal na cidade de Manaus
Authors:   Instituto Federal de Educação, Ciência e Tecnologia Amazonas, Rocha Vitória Elizabeth de Souza , Merlo Deyrdre Nunes ,   Instituto Federal de Educação, Ciência e Tecnologia Amazonas, Silva Rebeca Larissa Castro ,   Instituto Federal de Educação, Ciência e Tecnologia Amazonas, Aquino Vanessa Alves ,   Instituto Federal de Educação, Ciência e Tecnologia Amazonas, Lima Vinicius Marques de ,   Instituto Federal de Educação, Ciência e Tecnologia Amazonas, Carioca Adrianne Pereira ,   Instituto Federal de Educação, Ciência e Tecnologia Amazonas, Dias Flávia de Carvalho Paiva ,   Instituto Federal de Educação, Ciência e Tecnologia Amazonas, Oliveira Anne Caroline Dantas Tavares de ,   Instituto Federal de Educação, Ciência e Tecnologia Amazonas, Santos Jomel Francisco dos ,   Instituto Federal de Educação, Ciência e Tecnologia de Rondônia, Neves Kilma Cristiane Silva ,   Instituto Federal de Educação, Ciência e Tecnologia Amazonas
Published: August 2023

Health Education is the construction of learning, seeking to instruct society about public health and build opinions inherent to single health. The objective of this work was to promote actions on animal welfare, responsible ownership and control of zoonoses in order to train multipliers of this knowledge. After responding to a procedure to guarantee data on prior notions, students from public institutions in Manaus attended interactive lectures and received gifts for participating. 455 students participated (356 from elementary school, 99 from high school and college). A lack of knowledge was noted, evidencing the sacredness of projects that shape conscious generations, form humanized academics and awaken interaction with the community.
A Doença de Hodgkin no Rio Grande do Sul: Classificação e Incidência
Authors: Roesch L. H. , Cerski C. T. S. , Serafini E. P.
Published: August 2023

Os autores examinaram as lâminas de 264 casos preclassificados como Doença de Hodgkin, pertencendo 159 ao arquivo do Dep. de Patologia da Fac. de Medicina da UFRGS e 105 ao arquivo do Instituto de Patologia de Porto Alegre. Os casos foram classificados de acordo com as determinações da Conferência de Rye em Predominância Linfocitária, Esclerose Nodular, Celularidade Mista e Depleção Linfocitária. Destes 264 casos, 220 foram confirmados como Doença de Hodgkin e com a seguinte distribuição: 93 casos de CM; 55 casos de EN; 46 casos de DL; 11 casos de PL; e 15 casos não classificados. A incidência segundo a idade evidencia uma maior concentração da DH dos 05 aos 20 anos, sendo que 76% dos casos ocorrem antes dos 40 anos. Há uma predominância do sexo masculino, numa proporção de 2:1.91% dos casos pertencem a pessoas de cor branca. Em 66% dos casos a 1ª biópsia foi feita na região cervical, seguida das regiões axilar e ingüinal e cavidade abdominal. Por fim os autores comentam seus resultados em função de alguns aspectos epidemiológicos e metodológicos, comparando-os com os da literatura.
O Tratamento Conservador do Câncer da Mama. Uma Nova Era
Authors: Souhami Luis
Published: August 2023

Apesar dos grandes avanços na área médica, os resultados do tratamento do câncer da mama não se modificaram nesses últimos 50 anos. Isto fez com que certos conceitos tidos como definitivos fossem revistos. Este trabalho analisa a evolução terapêutica do câncer da mama e enfatiza as novas opções de tratamento, particularmente o tratamento conservador.