bluuebunny/crossref_metadata_2025 huggingface dataset:
Источники сложности в задаче на отдаленные ассоциации
Authors: Афанасьева Виктория , Спиридонов Владимир
Published: April 2024

Задача на отдаленные ассоциации (compound remote association – CRA) часто используется для изучения феномена инсайта. Большинство исследований было проведено на материале англоязычных задач, заметная часть которых характеризуется определенным типом решения – составным словом-ответом (compound). Русскоязычные задачи обычно имеют другой тип ответа – устойчивые словосочетания стимульных слов с искомым. Нахождение такого ответа требует опоры на несколько типов отношений между словами: в первую очередь, синтаксических и семантических. Целью статьи является анализ теоретических моделей, объясняющих решение задачи на отдаленные ассоциации. Также рассматриваются источники трудности русскоязычных задач такого типа для решения.
Имплицитная координация и работа команды
Authors: Гудиев Александр
Published: April 2024

В статье рассматривается явление имплицитной (неявной) координации, ее роль в работе команд и связь с командной результативностью. Рассмотрена история изучения этого явления, основные элементы ее структуры, отличия неявной координации от явной и от подстраховывающего поведения. Приведены основные механизмы, лежащие в основе неявной координации: ментальные модели команды, командные ситуационные модели, система трансактивной памяти команды. В завершении статьи сформулированы основные сложности исследования неявной координации, а также возможные направления дальнейшего изучения этого феномена.
The Study on Security in Internet of Things (IoT)
Authors:   Scholar, M.Tech (CSE), J.P. Institute of Engineering & Technology, Meerut, Jain Rishu
Published: April 2024

The Internet of Things, or IoT, has received a lot of attention lately since it has drastically altered human existence. In a wide range of applications, including smart buildings, smart health, smart transportation, and more, the Internet of Things facilitates the sharing of information or data. Sensitive information that may be disclosed is interchangeable among billions of interconnected objects. Thus, maintaining user privacy and bolstering IoT security present a significant issue. This paper aims to provide an in-depth analysis of IoT security. A taxonomy of security requirements depending on the objectives of the attacks is proposed after a number of IoT security threats are studied. In addition, current security solutions are categorised and characterised according to their use cases. In the end, open research directions and security issues are talked about. Keyword: Internet of Things (IOT), Wireless Sensor, Security, Privacy, Issues Networks.
THE STUDY ON IMPACT OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCE MANAGEMENT PRACTICES
Authors:   School of Business, Gagotias University, Greater Noida, India, YADAV YASHIKA
Published: April 2024

In the present era of innovation, Artificial Intelligence (AI) has opened up tremendous opportunities in the workplace through robotics innovation, which envelops AI. Precision, Efficiency, and Flexibility are considered the potential benefits of Industry. The implementation of Industry requires a lot of changes, including the Human Resource (HR) function. In Industry, the HR capability is more critical and gives an upper hand to the organization. The HR capability should be more cautious and adaptable to adjust to the difficulties and requirements. This thesis study the contributions of AI in HR digitalization and practices in Industry. HR experts working in Information Technology (IT), Manufacturing, and administration are selected to participate in this review focusing on five AI applications in HR capability and three elements of HR readiness. The information collected was examined utilizing the different Microsoft word tools, excel formulas, and other mathematical formulas. The results uncovered that hierarchical organization examination is a fundamental part of acquiring sustainable development. Adaptability and human asset capability are upheld by each of the five components of AI application areas of HR. Well-being and Safety improvement were viewed as vital components under the AI application in HR. Detailed analysis of the need of artificial intelligence in human resource. The various AI tools to be used by this sector to enhance the organization, and finally check the improvement and growth in the organization with the introduction of AI in human resource management. Keywords- artificial intelligence, human resource management, healthcare industry
Prediction of Diabetes Using Machine Learning Algorithms
Authors:   Students of the Department of Electronics and Communication Engineering, R.V.R & J.C College of Engineering, K.V. Haranadh
Published: April 2024

In the medical field, it is essential to predict diseases early to prevent them. Diabetes is one of the most dangerous diseases all over the world. In modern lifestyles, sugar and fat are typically present in our dietary habits, which have increased the risk of diabetes. To predict the disease, it is extremely important to understand its symptoms. Currently, machine-learning (ML) algorithms are valuable for disease detection. This article presents a model using a fused machine learning approach for diabetes prediction. The conceptual framework consists of two types of models: Support Vector Machine (SVM) and Artificial Neural Network (ANN) models. These models analyze the dataset to determine whether a diabetes diagnosis is positive or negative. The dataset used in this research is divided into training data and testing data with a ratio of 70:30 respectively. These three models gave us different accuracies and simple to use. A cloud storage system stores the fused models for future use. Based on the patient’s real-time medical record, the fused model predicts whether the patient is diabetic or not. The proposed fused ML model has a prediction accuracy, which is higher than the previously published methods. Keywords: Logistic Regression, SVM, ANN, ML techniques
A No Code Website Builder Approach
Authors:   B.TECH Student, DY Patil University, RAIT, Nerul, Maharashtra, India, Jagtap Shreyansh
Published: April 2024

The development and upkeep of websites have become essential components of both personal and business undertakings in today's digital landscape. But the complexity and technicality of website builders has traditionally presented a significant obstacle, restricting accessibility for those without specialist technological skills. In order to solve this pressing problem, our paper presents a website builder approach that is incredibly user-friendly and doesn't require any technical knowledge. This application gives schools a rare opportunity to efficiently teach website design principles while also empowering students. We analyze the state of website builders today through the prism of this paper, pinpoint the problems resulting from technological complexity, and suggest a game-changing fix. Key Words: optics, photonics, light, lasers, templates, journals
NFT – MARKETPLACE USING ICP BLOCKCHAIN AND CUSTOM TOKENS
Authors:   Student, Information Technology, MCT’s Rajiv Gandhi Institute of Technology, Mumbai, Reddiar Surajkumar
Published: April 2024

The Cutting-Edge ICP Blockchain Marketplace is a groundbreaking platform revolutionizing NFT trading through the innovative utilization of the Internet Computer Protocol (ICP) blockchain. Our marketplace provides a secure, transparent, and tamper-proof environment for buying, selling, and trading NFTs. With a user-friendly React frontend, users can seamlessly navigate through a diverse collection of NFTs, including digital artwork, collectibles, virtual real estate, and domain names. Simplified trading processes empower users to list NFTs, set prices, and engage in secure transactions effortlessly. Curated collections feature exceptional NFT artworks and rare collectibles, fostering creativity and passion within our community. Through the immutability and transparency of blockchain technology, our marketplace ensures the authenticity and provenance of each NFT, establishing a trusted ecosystem for users to explore and exchange digital assets with confidence. Key Words: NFT Marketplace, digital assets, ICP Blockchain
Machine Learning Based Speech Emotion Recognition System
Authors:   Assistant  Professor, Department of CSE, Raghu Engg. College, Visakhapatnam, AP, India.1, B Chakradhar
Published: April 2024

In the last decade, there has been significant research into Automatic Speech Emotion Recognition (SER). The primary goal of SER is to improve human-machine interfaces. It can also monitor someone's psychological state for lie detection applications. Recently, speech emotion recognition has found uses in medicine and forensics. This paper recognizes 7 emotions using pitch and prosody features. The majority of speech features used here are in the time domain. A Support Vector Machine (SVM) classifier categorizes the emotions. The Berlin emotional database was used for this task. A good recognition rate of 81% was achieved. The reference paper for this work recognized 4 emotions and obtained a 94.2% recognition rate. However, the reference paper used a more complex hybrid classifier, while this work focuses on recognizing more emotions with a simpler model. . KeyWords: Blindness, Smart Stick, BlinDar, GPS, ESP8266, Internet of Things, RF Tx/Rx, MQ2.
Impact Advertising on Consumer Buying Behaviour
Authors: Shivam Sachin
Published: April 2024

This study delves into the intricate relationship between advertising and consumer buying behavior, aiming to provide a nuanced understanding of the various mechanisms through which advertising influences purchasing decisions. Through a comprehensive review of relevant literature and empirical research, this paper explores the multifaceted impact of advertising on consumers' attitudes, preferences, and behaviors. The study examines how advertising serves as a potent tool for creating awareness, shaping brand perceptions, and eliciting emotional responses among consumers. It investigates the role of advertising in influencing consumer preferences by highlighting product features, benefits, and unique selling propositions. Furthermore, the study explores the persuasive techniques employed in advertisements, such as social proof, scarcity, and celebrity endorsements, and their effects on consumer decision-making processes. Moreover, the research investigates the significance of repetition and reinforcement in advertising, emphasizing the role of continuous exposure in maintaining brand salience and message retention in consumers' minds. It also explores the social and cultural influences embedded within advertising messages, examining how they shape consumer aspirations, values, and lifestyles. Additionally, the study considers the role of advertising as an information source for consumers, analyzing its impact on their information-seeking behavior and purchase decisions. Furthermore, it explores how advertising helps alleviate cognitive dissonance among consumers post-purchase, reaffirming their satisfaction and loyalty to the brand. Through its comprehensive analysis, this study contributes to a deeper understanding of the dynamics between advertising and consumer buying behavior, offering insights that can inform marketing strategies and enhance the effectiveness of advertising campaigns in today's dynamic marketplace.
Privacy-Preserving Data Sharing Platform
Authors:   Apex Institute of Technology, Mishra Abhishek
Published: April 2024

In today's data-driven healthcare landscape, the secure sharing of sensitive medical information is essential for improving patient care, facilitating medical research, and advancing healthcare outcomes. However, ensuring the integrity, confidentiality, and privacy of patient data poses significant challenges, particularly in the context of big data environments. This presents a comprehensive framework for privacy-preserving data sharing in healthcare, leveraging a combination of cryptographic techniques, encryption, and secure computation protocols. The framework encompasses various privacy-preserving mechanisms, including Differential Privacy with Data Perturbation, Secure Multi-Party Computation (SMPC), and Homomorphic Encryption, to protect sensitive healthcare data from unauthorized access and disclosure. By implementing state-of-the-art privacy-preserving techniques, the framework aims to enable secure data sharing among multiple parties while complying with regulatory requirements such as HIPAA and GDPR. Additionally, the paper discusses the project scope, which includes cryptography, encryption, decryption, integrity, confidentiality, privacy, policies, procedures, security, and secure data sharing infrastructure. The proposed framework provides a practical solution for healthcare organizations and research institutions to collaborate on data-driven initiatives while safeguarding patient privacy and maintaining trust. Evaluation of the framework's effectiveness and performance metrics is conducted to validate its feasibility and efficacy in real-world healthcare settings. Keywords: Privacy-preserving data sharing, Differential Privacy, Data Perturbation, Secure Multi-Party Computation (SMPC)
Bidirectional DC - DC Converter Topology for Electric Vehicles Using Fuzzy Logic Controller
Authors:   Asst.Professor, Department of EEE, Raghu Engg. College, Visakhapatnam, AP, India.1, Daryabi Shaik
Published: April 2024

This project organizes an application of hybrid electric vehicle systems operated with novel designed bidirectional dc-dc converter (BDC) which interfaces a main energy storage (ES1), an auxiliary energy storage (ES2) and dc bus of different voltage levels. Proposed BDC converter can operate both step up and step-down mode. In which step up mode represents low voltage dual source -powering mode and step-down mode represents high voltage dc link energy –regenerating mode, both the modes are operated under the control of bidirectional power flow. This model can independently control power flow between low voltage dual source buck/boost modes. Here in, the circuit configuration, operation, steady-state analysis, and closed-loop control of the proposed BDC are discussed according to its three modes of power transfer. In this project fuzzy logic controller is used and also system results are validating through MATLAB/SIMULINK software. Index Terms—Bidirectional dc/dc converter (BDC), dual battery storage, hybrid electric vehicle, Fuzzy logic controller.
The Impact of Training and Development on Job Performance: A Comprehensive Analysis
Authors: Tripathi Sanjana
Published: April 2024

This study examines the profound impact of training and development initiatives on employee job performance within organizational settings. By synthesizing existing literature and empirical evidence, the research explores the multifaceted dynamics influencing how training and development programs enhance employee skills, knowledge, and performance outcomes. Key aspects investigated include the design and implementation of training programs, the role of employee engagement and motivation, and the alignment of training objectives with organizational goals. Furthermore, the study assesses the efficacy of various training methods in fostering skill acquisition, knowledge transfer, and behavioral change among employees. Additionally, the research delves into organizational factors such as culture, leadership support, and learning climate, elucidating their influence on the success of training and development initiatives. It examines feedback mechanisms, coaching, and mentoring as pivotal components reinforcing learning and driving continuous improvement in job performance. Furthermore, the study explores the repercussions of training and development on employee engagement, job satisfaction, and retention, highlighting the significance of investing in employee development to cultivate a skilled, motivated workforce and bolster organizational performance. This comprehensive analysis contributes nuanced insights into the strategic importance of training and development, offering actionable recommendations for organizations aiming to optimize employee performance, foster a culture of learning, and attain sustained success in today's competitive landscape.
Principal Components and Assortativity-based Assessment of the Similarity of Crime Metrics across Coterminous Wards in the City of Chicago
Authors: Meghanathan Natarajan
Published: April 2024

The City of Chicago (with 50 wards) has one of the highest crime rates in the US. We seek to quantitatively assess the similarity of crime metrics across coterminous wards using a combination of Principal Component Analysis (PCA) and Assortativity analysis. We first build a ward network (nodes are the wards and edges connect coterminous wards) of the city using the ward map. We parse through the 2022 crime dataset for the city and build a matrix whose entries correspond to the number of occurrences of a crime type in a ward. We conduct PCA of this ward-crime type matrix and determine a weighted average PC_crime_score (using the entries in the high-variance principal components and their variances as weights) for each ward. We observe the coterminous wards to exhibit moderate-strong assortativity with respect to three different crime metrics: hotspot classification, PC_crime_scores and the crime counts of the individual crime types.
Incorporating Korean Culture in English Language Teaching for Intercultural Communication: Adopting CCA Approach
Authors: Kim Eunhyun , Sim Juyoun
Published: April 2024

This study investigates the impact of integrating Korean culture into the ELT curriculum adopting a critical cultural awareness approach on students' cultural understanding. Furthermore, the study extends its research to examine the extent to which the local cultural understanding in English acquired from the course contributes to enhancing learners’ intercultural communication in global contexts. This nine-month longitudinal study employed a qualitative data approach derived from a mixed-method study involving pre- and post-survey questionnaires from college EFL learners and in-depth qualitative interviews. Overall, the findings have shown that the integration of local culture into the ELT curriculum helped students: (i) to enrich their understanding of local culture and history; (ii) to examine cultural values with critical perspectives; and (iii) to feel empowered and better prepared to engage in intercultural communication. The analysis also points out that students’ self-/national identity was enhanced, and their English communication skills in global contexts were promoted. Some important implications of this study are discussed for teachers who consider teaching local culture by connecting critical cultural awareness approach in foreign language curricula. Considering that there has been little research on teaching local culture in English class to improve intercultural communication in Korean educational contexts, it is recommended that further research should highlight more dynamic intercultural communication cases by providing on-line communication with students in other countries to facilitate intercultural experiences.
KL as an Islamic City Tourism Destination: The Influence of Place Involvement and Experience Quality on Place Attachment
Authors: Shaimi Nur Wafaa Abdullah , Ariffin Ahmad Azmi Mohd.
Published: April 2024

The Muslim market presently dominates as the most lucrative and fastest-growing market segment, simultaneously holding one of the largest markets in the world. Therefore, it is necessary to have a comprehensive understanding of Muslim tourists, especially those outside the Asia-Pacific region, such as the Middle East, who have significant purchasing power. This discussion argues that the strategies that focus on creating a strong emotional connection with the country are imperative to ensure that Malaysia, particularly Kuala Lumpur, will always remain the most popular Muslim destination. This article defines the sense of place concept (place attachment) and explains the factors that influenced it. Comprehending the sense of place key elements can help measure visitor engagement with a place accurately. Based on the literature on “place involvement” in consumer behaviour and “place attachment” from environmental psychology, this article provides a conceptual framework for understanding tourist attachment relationships with places.
On the Universal Presence of Mathematics for Incompletely Predictable Problems in Rigorous Proofs for Riemann Hypothesis, Modified Polignac’s and Twin Prime Conjectures
Authors: Ting John Y. C.
Published: April 2024

We validly ignore even prime number 2. Based on all arbitrarily large number of even Prime gaps 2, 4, 6, 8, 10...; the complete set and its derived subsets of Odd Primes fully comply with the Prime number theorem for Arithmetic Progressions, and our derived Generic Squeeze theorem and Theorem of Divergent-to-Convergent series conversion for Prime numbers. With these conditions being satisfied by all Odd Primes, we argue Polignac's and Twin prime conjectures are proven to be true when they are usefully treated as Incompletely Predictable Problems. In so doing [and with Riemann hypothesis being a special case], this action also support the generalized Riemann hypothesis formulated for Dirichlet L-function. By broadly applying Hodge conjecture, Grothendieck period conjecture and Pi-Circle conjecture to Dirichlet eta function (proxy function for Riemann zeta function), Riemann hypothesis is separately proven to be true when it is usefully treated as Incompletely Predictable Problem. Crucial connections exist between these Incompletely Predictable Problems and Quantum field theory whereby eligible (sub-)functions and (sub-)algorithms are treated as infinite series.
Averaging Principle for BSDEs and one Barrier Reflected BSDEs With Non-Liphschitz Coefficients
Authors: San´e Ibrahima , Manga Cl´ement , Aidara Sadibou
Published: April 2024

In this paper, the averaging principle for BSDEs and one barrier RBSDEs, with non Lipschitz coefficients, is investigated. An averaged BSDEs for the original BSDEs is proposed, as well as the one barrier RBSDEs, and their solutions are quantitatively compared. Under some appropriate assumptions, the solutions to original systems can be approximated by the solutions to averaged stochastic systems in the sense of mean square.
(Trans)Gressing the Binary: Coalitional Self-Determination for the 'Third Gender' Framework
Authors: Pandit Akshita
Published: April 2024

In National Legal Services Authority (NALSA) v. Union of India, the Supreme Court of India legally recognized the existence of a 'third gender' identity to protect and promote self-determination for persons identifying as 'transgender'. Although the judgment might seem as a breakthrough for the transgender rights movement, I believe that it has glaring contradictions with regards to the socio-political environment where the 'third gender' is situated. The main argument of my paper is to critique such contradictions in the existing policy approach and suggest an inclusive and self-determinative policy framework for persons identifying as transgender. To substantiate, the first chapter of the paper lays the theoretical background by dismantling the heteronormative binary of gender identity and personhood and thereby securing socio-political legitimacy for transgender identities in gender discourse. The following chapter places transgender persons in light of the dismantled gender binary by examining the political viability of a 'third gender' as a framework for legally recognizing an umbrella serial collective of various transgender identities. The succeeding chapter contextualizes the proposed 'third gender' framework by critiquing the existing legislative and judicial policy strategies in India through the lens of coalitional self-determination. In conclusion, I juxtapose Indian policy models with international jurisprudence and sociological studies to arrive at an inclusive and malleable 'third gender' framework for safeguarding the rights and interests of transgender persons.
Social Security for Domestic Workers in India
Authors: Agrawal Utkarsh , Agrawal Shailja
Published: April 2024

Among all categories of the informal sector, the protection of domestic workers forms one of the biggest challenges to labour laws. The inherent subjugation involved in the work, along with the atypical nature of the work of domestic workers, makes them more vulnerable than other workers in the economy. The difficulties are associated with the work being performed within the household, primarily for non-commercial purposes. The work space, being a private space, makes regulation and implementation difficult. The lack of effective regulation and the extremely informal nature of the service render domestic workers without any basic protection. In the event of any economic uncertainty, they are left at the mercy of their employers. It is, therefore, essential to develop a system of social security that can afford adequate protection to domestic workers, with minimal state involvement in the affairs of the family. This paper seeks to provide suggestions for such a scheme, which is suited to the peculiar characteristics of domestic workers in India. It recognises that scattered and isolated schemes are insufficient to afford adequate protection to workers. The social security model suggested is a decentralised model where social security is integrated with other important concerns such as minimum wages, skill development, and increasing awareness and bargaining power of domestic workers. These suggestions have been made after undertaking an analysis of existing legal provisions for domestic workers in India and the best practices from various jurisdictions that have seen relative success in providing social security to domestic workers.
Bureaucratization of Transgender Rights: Perspective from the Ground
Authors: Jain Dipika , Pillai Gauri
Published: April 2024

The Supreme Court directive in National Legal Services Authority v. Union of India brought in a transformative change by granting legal recognition to transgender1 persons. The Court issued several dicta, aiming to provide rights to transgender people and protect them from discrimination. The case marked a landmark shift in the legal regime, previously often characterized by the constant persecution and denial of rights to transgender persons. Yet, there have been multiple records indicating that the Supreme Court orders have not been adequately implemented by the states in India. To monitor and record the progress in various states, the Centre for Health Law, Ethics and Technology, JGLS initiated the RTI mechanism. Eleven questions, modeled on the Supreme Court directives in the case, were asked to several departments of all states. The responses received have been presented in a tabular form, accompanied by analysis comparing the responses to media reports about measures taken by various states to implement the Supreme Court decision. The uneven implementation of the Supreme Court directives in various states and union territories is telling, and reiterates the gap that exists between a landmark judgment and its implementation on the ground. The responses indicate that though states have taken positive steps in some fields, action remains lacking in others. We further detail the contradictions in the replies presented by a few states, and the difficulties we faced in initiating the RTI mechanism. This information can be utilized by activists and other relevant civil society actors to engage with their respective state departments in advocacy efforts.
Protecting citizens from the state post Puttaswamy: Analysing the privacy implications of the Justice Shrikrishna Committee Report and the Data Protection Bill, 2018
Authors: Bhandari Vrinda , Sane Renuka
Published: April 2024

In this paper we seek to conceptualise the right to privacy and its implications from the State and private actors, post the Puttaswamy judgment. We then examine the draft Personal Data Protection Bill, 2018 submitted by the Justice Srikrishna Committe and evaluate how it has fared in regulating the actions of the State relative to the private sector, with a broad focus on consent, surveillance, and the interaction between the State and private sector including the ability of the latter to deny data requests of the former. Finally, we emphasize the implementation challenges of a legislation given the weak state capacity in India, focusing on regulation making and enforcement, and highlight that both give substantial power to the State (as regulator) over its regulated entities. We argue that considering the privacy concerns against State action, the challenge to implementation in the area of personal data may only get exacerbated.
Rasionalitas Pengambilan Keputusan Feeder Dan Surabaya Bus Terhadap Nasib Sopir Angkutan Umum Konvensional Menurut Teori Rasionalitas Max Weber
Authors: Dzugharieb Cheyna Fillah  , Aisa Tria Sabela  , Revienda Anita Fitrie
Published: April 2024

The city of Surabaya with a population that has high mobility certainly requires transportation to support population activities. As a city with a high population, the city of Surabaya certainly faces various problems in public transportation services, one of which is congestion. To overcome this problem, the Surabaya City Government launched the Suroboyo bus and Wira Wiri fleets as alternative public transportation to overcome vehicle density in the city of Surabaya. However, the existence of Suroboyo Bus and Wira Wiri Suroboyo as public transportation that covers almost the entire area of ​​Surabaya City, leaves questions about what will happen to drivers of conventional public transportation such as angkot or lyn which have previously been the choice of public transportation for the people of Surabaya City. It cannot be denied that the existence of Suroboyo Bus and Wira Wiri Suroboyo has caused a decrease in demand for conventional public transportation passengers. The aim of this research is to describe the rationality of Surabaya Bus and Wira Wiri decision making regarding conventional public transportation according to Max Weber's theory of rationality. This research uses a qualitative method with a descriptive approach. In research using literature or literature studies, the results can be obtained that Surabaya Bus and Wira Wiri's decision making regarding conventional public transportation does not fully fulfill the forms of rationality proposed by Max Weber.
Frequency of p53 Mutations and Epstein-Barr Virus in Pakistani Gastric Cancer Patients and Their Association with the Tumor Grade
Authors: Zaib Asma , Khan Fatima , Qureshi Muhammad Asif , Khan Bilal Ahmed , Lail Amanullah , Naqvi Syed Faizan Ul Hassan
Published: April 2024

Gastric carcinoma (GC) is the fourth most common cause of cancer-associated death worldwide. Our study aimed to find the prevalence of TP53 mutations and Epstein-Barr virus (EBV) infection in GC and to investigate their association with the tumor grade. A total of 108 formalin-fixed-paraffin-embedded tissue blocks (98 gastric adenocarcinomas and ten controls) were collected, and DNA was extracted from them. The DNA was used to detect the presence of EBV infection by amplifying the Bam HI W region of the EBV genome in a nested polymerase chain reaction (PCR). Exons 5-7 of TP53 were amplified and sequenced by a commercial sequencer. Immunohistochemistry (IHC) for the expression of caspase-3 was carried out to determine the apoptosis status. Histopathology revealed that of the 98 adenocarcinoma samples, 63.3% (n=62) were poorly differentiated, whereas 36.7% (n=36) were moderately differentiated. Signet rings were present in 30.6% (n=30), and EBV was detected in 18.4% (n=18). Mutation analyses indicated that 76% of the samples were mutated, of which 8% had single nucleotide variations (SNVs) in exon 5 (g.17371G>A and g.17521A>C). Moreover, 76% of the samples had the same SNV (g.18316T>C) in exon 7. We also discovered three novel SNVs; two in exon 5 (g.17371G>A and g.17521A>C) and one in exon 7 (g.18316T>C). No difference in the expression of caspase-3 was observed. The chi-squared test indicated no significant correlation between TP53 mutations with EBV infection and tumor grade. In our cohort, young males had a higher prevalence of GC. The detection of EBV suggests it might be a risk factor for GC in our population.
Study of the Human Microbiota Under Physiological Conditions
Authors: Staff Editorial
Published: April 2024

Profiling the human intestinal environment under physiological conditions involves characterizing the various components and factors in the gut to understand its normal functioning. This profiling can encompass multiple aspects, including the microbiome, host immune response, metabolites, and the physical environment of the intestine. Shalon and colleagues developed an ingestible device that collects samples from multiple regions of the human intestinal tract during normal digestion. The collection of 240 intestinal samples from 15 healthy individuals using the device and subsequent multi-omics analyses identified significant differences between bacteria, phages, host proteins, and metabolites in the intestines versus stool. Certain microbial taxa were differentially enriched, and prophage induction was more prevalent in the intestines than in stool. The host proteome and bile acid profiles varied along the intestines and were highly distinct from those of stool. Correlations between gradients in bile acid concentrations and microbial abundance predicted species that altered the bile acid pool through deconjugation. Furthermore, microbially conjugated bile acid concentrations exhibited amino acid-dependent trends that were not apparent in the stool. Overall, non-invasive, longitudinal profiling of microorganisms, proteins, and bile acids along the intestinal tract under physiological conditions can help elucidate the roles of the gut microbiome and metabolome in human physiology and disease. Nature. 2023 May;617(7961):581-591.  doi: 10.1038/s41586-023-05989-7.
Editor's Summaries of the Articles Published in This Issue of Molecular Medicine Communications
Authors: Staff Editorial
Published: April 2024

In this issue Yusuf and colleagues investigated the association of association of fat, mass and obesity (FTO) gene polymorphism with diabetes and prediabetes in Pakistani population, Mannan and colleagues did a variant analysis of FOXE1 gene in non-syndromic cleft lip and palate in Peshawar, Pakistan,  Zaib et al determined the frequency of p53 mutations and Epstein-Barr virus in Pakistani gastric cancer patients and investigated their association with the tumor grade,  Rehman and her colleagues made an analysis of comparative effectiveness & renoprotective effects of hypoglycemic drugs for type 2 diabetes mellitus, and Ain et al reviewed the sources and mechanisms of chemoresistance in hepatocellular carcinoma.
Financial Incentives for COVID-19 Vaccines Help
Authors: Staff Editorial
Published: April 2024

Cash incentives for COVID-19 vaccination involve offering individuals a financial reward as an encouragement to get vaccinated against the coronavirus. This strategy has been implemented by various governments, organizations, and businesses as part of their efforts to increase vaccination rates. Duch and colleagues randomly assigned about 700 residents of several villages in Ghana to four groups in a cluster-controlled trial. The results show that participants assigned to the cash incentive treatments had an average rate of 81% (1,733 of 2,168) compared to 71% (1,895 of 2,669) for those in the placebo treatment arm. For self-reported vaccinations, the average rate for participants in the cash treatment was 3.5% higher than for participants in the placebo treatment (95% confidence interval (CI): 0.001, 6.9; P = 0.045): 40% (602 of 1,486) versus 36.3% (672 of 1,850). These results suggest that cash incentives help in vaccination uptake but paradoxically, low cash incentives resulted in higher vaccine uptake compared to high cash incentives.  We found that cash incentives motivate individuals who may be hesitant or reluctant to receive the COVID-19 vaccine. Financial rewards can serve as an additional motivator for those who may be on the fence about getting vaccinated. Trial identifier: AEARCTR-0008775. Nat Med. 2023 Nov 27. doi: 10.1038/s41591-023-02670-4.
Screening of new promising varieties of berseem (Trifolium alexandrinum) against aphid and leafminer
Authors: Ali Qurban , Aslam Asad , Iqbal Muhammad Bilal Bin , Nadeem Imran , Akhtar Muhammad Faheem , Malik Muhammad Kamil , Arshad Muhammad , Saleem Muhammad Jawad , Ghafar Abdul
Published: April 2024

High Quality fodder crops are a key component of the white uprising of milk yield. Berseem is a top forage crop also known as the Queen of all Cultivated Fodders or the Green Gold of the Asia. The experiment was designed to screen out the six varieties of berseem viz. F-01-16, F-02-16, F01-17, F-02-17, F-01-18 and F-02-18 against aphid and leaf minor. The data regarding aphid and leaf miner was recorded on weekly bases from five selected plants. The results showed significant difference in aphid and leaf miner population among six berseem varieties. The results depicted that maximum seasonal mean population of aphid was observed in F-02-16 (1.06) followed by F-01-17 (1.03) while minimum mean population was observed in the case of F-02-17 (0.84) followed by F-01-16 (0.96). In case of leaf miner, it was observed that maximum seasonal population was recorded in F-01-18 (13.21) followed by F-02-16 (12.47) while minimum mean population was calculated in the case of F-02-17 (8.45) followed by F-01-16 (11.65).
Hepatic Enzymes and Proteins as Prognostic Factors in Liver Disease Management
Authors:   Al-Karkh University of Science., Al-Shammari W T. H. , Abed Ream Ismail ,   Al-Karkh University of Science., Ali Hanan Hussein ,   Al-Karkh University of Science
Published: April 2024

Therefore, an article reviewing a hepatic enzyme/protein prognosis in liver disease studies is presented. Hepatocytic enzymes such as Alanine aminotransferase (ALT) and Aspartate aminotransferase (AST) being highly contributory indicators demonstrate mild to severe active liver inflammation and damage. Compared to this, it is worth noting that the so-called proteins which are referred to as albumin and alpha-fetoprotein (AFP) provide data on liver function and the severity of the disease, mainly in HCC (hepatocellular carcinoma). The review clarifies the role of these biomarkers in clinical practice attributing them to various indicators such as diagnosis, disease differentiation, treatment monitoring, and prognosis assessment. Difficulties, including variability, sensitivity problems, and complexity on the interpretation of results, are pointed out, showing the necessity of enhanced diagnosis tehnologies and personalized medicine strategies. The future of liver disease management concentrates on biomarker identification, better diagnostic equipment, embedding artificial intelligence, personized treatment, and involving authorities. The objective is to improve diagnostic accuracy, guid treatment outcomes, and apply ethics in genetic information. In summary, these pioneering technologies have the potential to make a substantial contribution to the level of liver disease treatment, provided that we address the connected problems, which will consequently result in better patients’ outcomes and quality of care.
Thyroid hormone changes in critical surgical illness: a narrative review
Authors: Kovačević Mirza , Nesek Adam Višnja
Published: April 2024

The systemic response to stress caused by a critical surgical illness is characterized by a series of events that precede metabolic and neuroendocrine dysregulation. However, the relevance of theclassically described 'stress response' is now highly questionable in an era where profound physiological deconditioning is common in critically ill, surgical and non-surgical patients. Common assessment techniques do not accurately reflect the integrity of the hypothalamic-pituitary-thyroid axis in the course of a critical chronic disease state. The clinical presentation ismostly masked by symptoms of the underlying critical illness when plasma thyroid hormone concentrations are altered. The frequent development of multimorbidity in critically ill patients is the reason for the need for a more detailed analysis of the neuroendocrine model of activation. Basic scientific studies suggest that low levels of circulating thyroid hormones in the acute phase are an adaptive process, but the chronic condition could directly cause organ damage. Here, we review factors that have emerged to challenge the conventional model of euthyroid sick syndrome (ESS) in the surgically critically ill as an adaptive process, and suggest that the stage of the critical illness is an important consideration in the critically ill. Examining the stressresponse in the critically ill presents opportunities to improve outcomes through improved understanding of the neuroendocrine aspects.
Lichtenstein versus laparoscopic transabdominal preperitoneal (TAPP) hernia repair: Retrospective study, our experience
Authors: Salibašić Mirhan , Pušina Sadat , Hodžić Edin , Bičakčić Emir , Halilović Emsad , Ganić Sara
Published: April 2024

Abstract: Surgical correction of inguinal hernias is the most commonly used surgical procedure in the world. Currently only three surgical techniques have been validated, that is the Shouldice technique, the Lichtenstein technique, and laparoscopic techniques such as transabdominal preperitoneal (TAPP) hernioplasty and totally extraperitoneal endoscopic hernioplasty (TEP).The aim of the study: The aim of this study is to show the results in terms of postoperative recovery, complications, length of hospitalization after inguinal hernia surgery in patients who underwent the Lichtenstein and the laparoscopic (TAPP) methods.Material and methods: This is a monocentric, retrospective cohort study, conducted in the period from 2019 to 2023. The research period covered 70 patients who underwent surgery at the Clinic for General and Abdominal Surgery with Glandular Surgery, of the University Clinical Center, Sarajevo. The patients were divided into two groups: Group 1: 20 patients who underwent the TAPP method and Group 2: 50 patients who underwent the Lichtenstein method. All patients underwent surgery performed by two doctors.Results: One woman (1.4%) and 69 men (98.6%) participated in the research. Of the total number, 50 patients (72.5%) were treated with the Lichtenstein technique, and 19 (27.5%) were treated with the TAPP technique (p=0.539). The statistical results did not show a significant difference in the average age between patients who underwent the Lichtenstein and the TAPP technique (T=0.759; p=0.450).Discussion: There was no significant difference in relation to age and type of surgery (T=0.759; p=0.450). There was no statistical difference in the choice of surgical approach in relation to the laterality of the hernia (P<0.001), nor any statistically significant difference between the TAPP and Lichtenstein surgical procedures in relation to BMI T=0.613; p=0.542. Our analyses showed that patients treated with the TAPP technique had a statisticallysignificantly higher probability of shorter postoperative hospitalization compared to those treated with the Lichtenstein technique (B=0.245; p=0.019). Two patients in the study had complications within 30 days (Clavien-Dindo Grade I and Grade IIIB).Conclusion: Using an individual approach for each patient, surgical treatment of hernia using laparoscopic TAPP can be the first choice in patients without comorbidities, without previous pelvic surgery, bilaterality or recurrence of previous surgery (anterior approach). Patients treated with the laparoscopic technique (TAPP) have a shorter hospitalization time, which ultimately affects the economic aspect.
Implementasi Sistem Kehadiran Guru Berbasis Internet of Thing di SDIT Darul Hikmah
Authors: Amrullah Ridhwan , Chusyairi Ahmad
Published: April 2024

The teacher attendance system currently implemented at SDIT Darul Hikmah Jakarta still uses the manual method by filling in the arrival time and signing the attendance book available in the office. The system has several drawbacks such as manipulation of attendance, damaged or missing attendance books, and ineffective reporting because the general coordinator needs to copy back attendance data to be submitted to the principal and chairman of the foundation as material for evaluating teacher performance. Therefore, this study aims to create an Internet of Thing-based presence system using NodeMCU ESP 32 and a fingerprint sensor. This research process uses the Prototype method. This research produced a teacher attendance recorder that teachers can use as proof of attendance when they arrive at class. In addition, the website utilized to manage teacher attendance data to make reports and is used by teachers to fill out learning agendas that can provide feedback to student parents regarding student participation in learning through the Telegram application.
Perancangan Sistem Informasi Peminjaman dan Pengembalian Berkas Rekam Medis Rawat Jalan dengan Metode Waterfall
Authors: Arta I Gusti , Sutha Diah , Ali Amir , Putra Yunior Bimasekti
Published: April 2024

Wiyung Sejahtera Hospital in recording the borrowing and returning of outpatient medical records still uses expedition books which are recorded manually. The research aims to design and develop an information system to facilitate the process of borrowing and returning outpatient medical record files using the Waterfall method approach. The Waterfall method was chosen because of its ability to divide system development into structured stages, starting from requirements analysis to maintenance. The needs analysis stage involves an in-depth study of existing processes and user needs. Next, system design is carried out by building a design plan that includes database structure, user interface design, and system workflow. System implementation is carried out by developing applications based on previous designs, while system testing is carried out thoroughly to ensure quality and performance before full implementation. The maintenance stage is carried out to ensure system operation and carry out continuous repairs and improvements. As a result, it is hoped that this system can improve the efficiency and quality of outpatient medical record file management and health services as a whole. The conclusion of this research is the successful design and development of a computer-based information system for borrowing and returning outpatient medical records at Wiyung Sejahtera Hospital using the waterfall method.
Drama como ferramenta metodológica para formação de futuros professores
Authors: Barros Ariane Guerra , Ribeiro Vanessa Lopes
Published: April 2024

Este artigo apresenta o projeto de extensão intitulado "Drama na Sala de Aula: uma introdução", da Universidade Federal da Grande Dourados (UFGD), como ponte entre a formação de futuros professores e o ambiente escolar. Neste projeto, o objetivo foi introduzir a metodologia de process drama no ensino de Arte(s) em escola da rede básica de ensino de Dourados/MS. Buscando interseccionar Educação Básica e Universidade em âmbitos acadêmico, escolar, social e cultural, foi criado o process drama "Entre Fósforos e Estrelas", aplicado em turmas do ensino fundamental I na escola municipal Arthur Campos Mello. Abordando temas como morte, perda, classe social, racismo, preconceito, entre outros, a metodologia ativa e lúdica do drama permitiu aos participantes do processo uma experiência única, formativa, cidadã e emocionante, em que a formação de professores em contato direto com a comunidade escolar foi foco de investigação.