bluuebunny/crossref_metadata_2025 huggingface dataset:
Klasifikasi Sentiment Review Aplikasi MyPertamina Menggunakan Word Embedding FastText dan SVM (Support Vector Machine)
Authors: Mustasaruddin Mustasaruddin , Budianita Elvia , Fikry M , Yanto Febi
Published: June 2023

The MyPertamina application is a requirement for buying subsidized fuel oil (BBM), namely pertalite and diesel, the goal is that subsidized (BBM) purchases are right on target. The MyPertamina application has received many ratings and comments from the public, both positive and negative, with these comments and ratings expected to help the government as a benchmark in implementing a program. Therefore, this research aims to assess the MyPertamina application by grouping sentiment classes 90:10, 80:20 and 70:30. In this study, the method used is Fasttext and Support Vector Machine (SVM) to review the MyPertamina application. This research uses 8000 data, the data is grouped into three portions of data, with portions of 90:10, 80:20 and 70:30. The best SVM model was obtained with a data portion of 90:10 with a total of 7200 training data and 800 testing data, obtained 80% accuracy, 50% recall and 84% precision without undersampling. Meanwhile, if the amount of data is balanced (undersampling) with the number of positive data 1325, neutral 1325 and negative 1325, that is, with the benchmark of the lowest data value from the sentiment class, an accuracy of 67% is obtained, recall is 69% and precision is 57%. The highest number of sentiment classes from the 90:10 portion of the data is negative, namely 4300, neutral 1575 and positive 1325, because many users found reviews of the MyPertamina application, namely "after updating the MyPertamina application the bugs are getting worse".
Klasifikasi Sentiment Ulasan Aplikasi Sausage Man Menggunakan VADER Lexicon dan Naïve Bayes Classifier
Authors: Maulana M Ikhsan , Budianita Elvia , Fikry Muhammad , Yanto Febi
Published: June 2023

Battle Royale games are games that mix adventure and survival elements with last man standing game modes. One of the most popular battle royale games is the Sausage Man game. The number of complaints such as bugs, cheaters, and FPS which continues to decrease makes the game annoying. The solution is that developers must improve and improve game security so that users feel comfortable playing the game. There are many opinions or reviews from users regarding problems in the game, sentiment analysis will be carried out on the Sausage Man application review data on the Google play store as a process to produce categorization of opinions through reviews. The purpose of the researcher is to carry out a sentiment analysis to see positive, neutral or negative opinions from Sausage Man game users. The stages carried out in this study were data collection using web scraping, data labeling, text preprocessing, document weighting, classification, and evaluation. The results of data labeling using the VADER Lexicon obtained 1089 reviews (36.3%) for positive sentiment, 912 reviews for neutral sentiment (30.4%), and 999 reviews for negative sentiment (33.3%). Classification using the Naïve Bayes Classifier. Evaluation using the Confusion Matrix by dividing 90% training data and 10% test data produces an accuracy of 75%, 79% precision, and 75% recall. For the division of 80% training data 20% of the test data produces an accuracy of 73%, 76% precision and 73% recall. Positive sentences are found more often, but the accuracy is still below 80%.
Evaluation of pre-service teachers’ digital skills and ICT competencies in context of the demands of the 21st century
Authors: Niyazova Aigul Y. , Chistyakov Alexey A. , Volosova Nonna Y. , Krokhina Julia A. , Sokolova Natalia L. , Chirkina Svetlana E.
Published: June 2023

21st century has seen the emergence of digital skills as a crucial ability with profound effects on employment, education, and social relationships, among other facets of life. The best talents to teach are the subject of study by those who establish educational policies. The goal of this study is to examine the relationship between information and communication technology competency (ICTC) and digital abilities. It focuses on which of the digital skills sub-dimensions has a greater impact on ICTC and how this impact varies by country, age, and gender. This study employed a quantitative research design to evaluate the association between ICTC and various digital skills. The sample group consisted of 620 university students from Russia and Kazakhstan. Digital skills were measured using a scale adapted for the Russian context, while ICTC scale was first adapted for the Russian context following language validity steps. The study also conducted path analysis to determine the impact of ICTC on digital skill dimensions and multigroup path analysis to assess effects according to different independent variables. The study found that certain dimensions of digital skills, specifically “use of digital tools”, “communication of digital content”, and “creation of digital content”, significantly influence ICTC. However, “management of digital content”, “digital security”, and “digital empathy” dimensions did not show a significant effect. The impact of these dimensions varied significantly across different demographic groups, suggesting that digital skills and ICTC development may differ among these groups. The findings highlight the need for tailored strategies to develop and promote digital skills and ICTC, considering these demographic differences.
Cooling System in Machine Operation at Gas Engine Power Plant at PT Multidaya Prima Elektrindo
Authors: Ghufron Syahrul , Prayogi Soni
Published: June 2023

In this work, it is reported that the development of technology makes the need for electrical energy in recent years has increased very rapid. PT Multidaya Prima Elektrindo is a company engaged in power generation using gas energy sources, namely the Gas Engine Power Plant. with a capacity of 2x6 MW. The energy produced by this plant will later be distributed to consumers through the State Electricity Company. Along with its use, generating machines continuously work for long periods of time. If this continues, there will be overheating of the engine which can cause a trip to the engine, to prevent a trip on the engine, monitoring the cooling system on the engine can prevent overheating which can cause a trip on the engine. By using a cooling system, the performance of the engine at the generator in generating energy is optimal. The processed data is weather data around the PLTG location and characteristic data from the gas turbine. The results of data processing are taken into consideration in choosing a cooling system. Other processing data in the form of cooling load is then used to design the components of the cooling system that will be applied. The results of the study show that reducing the outside air temperature entering the gas turbine compressor to 22 °C, can increase the output power of the PLTG gas turbine by more than 10 MW.
Implementation of Agile Governance In Optimizing The Potential of Sekapuk Village, Gresik District
Authors: Chasan Amruloh Muhammad , Lisaria Putri Rumanintya
Published: June 2023

Sekapuk Village, Ujungpangkah District, Gresik Regency is the poorest village that has succeeded in becoming a billionaire village through the management of BUMDesa for setigi tourism. This success was able to increase the original income of the village and the economy of the community. This research will validate the application of agile governance in Sekapuk Village to be able to find out the application that has been carried out by the village government in sustainable development. This study aims to describe the application of agile governance in the management of setigi tourism which was previously a former limestone mine excavation and landfill into a tourist attraction of high economic value. This research uses a descriptive type of qualitative research with data collection techniques carried out through observation techniques, interviews, documentation and previous research. Keywords: Sekapuk Village, Village Owned Enterprises, Agile Governance, Setigi Tourism, Tourism. The results showed that BUMDesa Sekapuk has applied the principle of agile governance in managing setigi tourism properly. First, good enough governance, setigi tourism management has included the division of labor, management structure, and has the purpose of tourism development. Second, business driven, it is shown by the sale of tourist shares to the public. Third, human focused, the contribution of the community to the sale of shares in the development of setigi tourism. Fourth, based on quick wins, there is an increase in the original income of the village every year.
Legal Protection for Peaceful Protests: Safeguarding the Right to Dissent
Authors: Khalil Zafer
Published: June 2023

Legal Protection for Peaceful Protests: Safeguarding the Rightto Dissent
On the CMB cold spot anomaly and the Variable Light Speed (VLS) Cosmological model
Authors: Bakalian Faez
Published: June 2023

The CMB cold spot anomaly can be explained in terms of a variable light speed, static model of the universe. By combining geometrical considerations of the dimensions of the universe (based on the predictions of the Variable Light Speed model) with reflection and transmission properties of light, it is possible to predict the CMB cold spot temperature anomalies as a function of angular separation. This brief report is intended to highlight some of the predictions and findings of the VLS (Variable Light Speed) research initiative, a study that was carried over a span of 5 years to explore the time-varying properties of fundamental constants and evolution of the universe.
Deep Unsupervised Learning for Simultaneous Visual Odometry and Depth Estimation: A Novel Approach
Authors: Nathan Lea
Published: June 2023

Deep Unsupervised Learning for Simultaneous Visual Odometryand Depth Estimation: A Novel Approach
Exploring the Potential of Thermal Imaging for Depth Estimation in Low-Light Conditions: A Comparative Study with LiDAR
Authors: abbas fakher
Published: June 2023

Exploring the Potential of Thermal Imaging for Depth Estimation inLow-Light Conditions: A Comparative Study with LiDAR
Crimean–Congo Hemorrhagic Fever (CCHF) is one of the most important vectorborne diseases of zoonotic potentia
Authors: Lea Martha
Published: June 2023

Crimean–Congo Hemorrhagic Fever (CCHF) is one of the most important vectorborne diseasesof zoonotic potentia
Non-structural Flood Mitigation Optimization at Community Scale: Middle Cedar Case Study
Authors: Yildirim Enes , Alabbad Yazeed , Demir Ibrahim
Published: June 2023

Flooding is the leading natural hazard in Iowa and has resulted in billions of dollars of damage to properties and critical infrastructure over the past couple of decades. Land alterations, urbanization, and changing precipitation regimes increase the magnitude and frequency of flood events. Considering the increasing risk, flood mitigation efforts are significant to reduce future losses. In this study, we present a comprehensive flood mitigation assessment for the cities of Cedar Falls, Cedar Rapids, and Waterloo in Iowa, utilizing various datasets such as property information, flood inundation maps, mitigation costs, and depth-damage functions. The research revealed that flooding has a minimal impact on Waterloo below the 200-year return period flood scenario, but Cedar Falls and Cedar Rapids are significantly vulnerable, requiring more mitigation investments and planning. The study conducted a benefit-cost analysis, indicating that dry floodproofing is the most feasible option to reduce flood impacts in all studied communities. Moreover, the research conducted a climate data-driven analysis, which found that elevating structures significantly increases the number of feasible mitigation options, regardless of various long-term climate projections. The study also analyzed predetermined mitigation budgets, revealing potential avoided losses and benefit-cost ratios for properties with the highest BCRs and prioritizing them to maximize the total benefit to the communities. The findings provide valuable insights for community decision-makers to prioritize flood mitigation measures based on the benefit-cost ratio. Overall, the study provides valuable insights and recommendations for decision-makers, contributing to the development of effective flood mitigation strategies to minimize the potential impact of flooding in the studied regions.
Phonological Similarity Judgments of Word Pairs Reflect Sensitivity to Large-Scale Structure of the Phonological Lexicon
Authors: Siew Cynthia S. Q. , Castro Nichol
Published: June 2023

Network analyses of the phonological mental lexicon show that words are clustered into communities and phonologically dissimilar words can be connected to each other through distant paths. Here we investigate whether behavioral traces of the large-scale structure of the phonological lexicon can be obtained. Participants listened to pairs of spoken words and made phonological similarity judgments for word pairs with varying path lengths and community membership. Path length in the phonological network represented the number of steps needed to traverse from one word to another word in the phonological network. Word pairs were either from the same phonological community or from different communities. Results indicated that participants were sensitive to large-scale structure of the phonological lexicon. Word pairs residing in the same community were more likely rated as similar sounding than word pairs from different communities. Word pairs with longer path lengths were less likely rated as similar sounding than word pairs with shorter path lengths. Computational simulations suggested that the behavioral findings could be accounted for via a spreading activation mechanism implemented on the phonological network. Taken together, our results provide converging evidence that people are sensitive to the large-scale structure of the phonological language network and have implications for our understanding of the nature of phonological similarity representations in the mental lexicon.
Transparency and Nudging: An Overview and Methodological Critique of Empirical Investigations
Authors: Michaelsen Patrik
Published: June 2023

Transparency is intimately linked to debates about the ethics, political legitimacy, and effectiveness of nudging. This paper provides an overview of empirical studies investigating how changes in the transparency of a nudge affects people’s choices and evaluations of the nudge. I conclude that the present literature provides generally consistent evidence supporting that the effectiveness of a nudge does not decrease when choosers are given good opportunity to detect and understand the influence it might have on their choices. However, several conceptual and methodological issues are identified, significantly limiting the scope of the conclusions that can be drawn. The limitations are discussed organized into six themes, with recommendations provided for how future research may address them.
Moral Disengagement in the Workplace: Validity and Psychometric Properties of the Polish Work Moral Disengagement Scale
Authors: Bartczuk Rafał Piotr , Zarzycka Beata
Published: June 2023

This study aimed to adapt the Work Moral Disengagement Scale (WMDS) to Polish culture and explore its psychometric properties. The Polish version of the WMDS (WMDS-PL) was validated using a sample of 539 employees. The investigation covered the factor structure, internal consistency, measurement invariance, and associations with HEXACO personality traits and counterproductive work behavior.Results confirmed a one-dimensional factor structure of the WMDS-PL, demonstrating strong internal consistency. The scale exhibited good psychometric properties, satisfying classical test and item response theory assumptions. Measurement invariance was upheld across gender, signifying that the WMDS-PL is interpreted similarly by both men and women. Notably, men scored higher on the WMDS-PL than women, implying a gender difference in the propensity for moral disengagement in the workplace. Additionally, moral disengagement showed positive correlations with various forms of counterproductive work behavior as well as negative correlations with honesty-humility and conscientiousness from the HEXACO traits.The successful adaptation of the WMDS to the Polish context provides a reliable and valid measure of moral disengagement in the workplace. This adaptation offers researchers and practitioners a valuable tool for assessing and understanding this phenomenon more effectively.
言語とコミュニケーションの創発に関する構成論的研究の展開
Authors: Ueda Ryo , Taniguchi Tadahiro , Suzuki Reiji , Ebara Hiroto , Nakamura Tomoaki , Iwamura Ibuki , Hashimoto Takashi
Published: June 2023

The foundation of language underlies the process in which language emerges through interaction and dynamics. Based on this idea, this paper focuses on constructive approaches to the emergence of language and communication, including multi-agent reinforcement learning (MARL), emergent communication (EC), symbol emergence in robotics, experimental semiotics, iterated learning model (ILM), and co-evolution. Although they have similar motivations, their efforts have been fragmented from community to community, and their philosophies and methodologies have not been shared well with each other. We introduce them from a birds-eye viewpoint and aim to suggest the direction that they should take in the future.
Superstitions, Religious Identity, and COVID-19 Conspiracy Beliefs in Secularized Czechia
Authors: Zawistowska Alicja , Příplatová Lenka , Kopecky Robin , Boschetti Silvia , Flegr Jaroslav , Talmont-Kamiński Konrad
Published: June 2023

The following paper focuses on the effects of individuals' superstitious beliefs, religious identity (non-religious, spirituals but non-religious, and the followers of traditional religions), and internal religiosity on the COVID-19 conspiracy beliefs. Using an online survey managed by the Czech Academy of Sciences, we gathered responses from more than 7,800 Czech panelists. The results showed that COVID-19 conspiracy beliefs were more pronounced among spirituals, while the effect for non-believers was negative. However, after controlling for individuals’ superstitiousness, the COVID-19 conspiracy beliefs became indifferent between the 3 religious groups. Internal religious beliefs positively affected COVID-19 conspiracy beliefs, but their effects differed among religious groups in that conspiracy beliefs increased among spirituals but decreased among traditional church followers. Public religious practices did not affect COVID-19 conspiracy beliefs, while private practices decreased conspiracy beliefs.
Identifying quantitative trait loci in experimental crosses
Authors: Broman Karl W
Published: June 2023

Identifying the genetic loci responsible for variation in traits which are quantitative in nature (such as the yield from an agricultural crop or the number of abdominal bristles on a fruit fly) is a problem of great importance to biologists. The number and effects of such loci help us to understand the biochemical basis of these traits, and of their evolution in populations over time. Moreover, knowledge of these loci may aid in designing selection experiments to improve the traits. We focus on data from a large experimental cross. The usual methods for analyzing such data use multiple tests of hypotheses. We feel the problem is best viewed as one of model selection. After a brief review of the major methods in this area, we discuss the use of model selection to identify quantitative trait loci. Forward selection using a BIC-type criterion is found to perform quite well. Simulation studies are used to compare the performance of the major approaches. In addition, we present the analysis of data from a real experiment.
Knowledge and treatment seeking behavior regarding malaria among the residents of tribal dominated areas of Mandla district in central India – A cross-sectional study
Authors: Kunal Peepre  , Tomar Shashi Prabha , Thakur Aditya , Kasar Pradeep Kumar
Published: June 2023

Background: Malaria is both a result and a cause of a lack of development. Dearth of information, education, and communication activities and awareness, knowledge regarding malaria is poor particularly in tribal population of Mandla.
Aims and Objectives: The aim of the study was to assess the malaria knowledge and treatment-seeking behavior among the residents of the tribal dominated areas of Mandla district and to study their association with the sociodemographic characteristics.
Materials and Methods: A total of eight villages were selected from which 25 households were randomly selected making a total sample size of 200 households, from these 200 households, 200 adult respondents were identified for administration of the study questionnaire.
Results: The age of the respondents ranged from 18 to 80 years, with a mean age of 37 years (SD=14.7). Overall, 48.5% of respondents had correct knowledge about perceived cause of getting malaria. The treatment seeking behavior of the respondents were associated with sociodemographic profile of the participants the age of the participants, the association was found to be highly statistically significant (P=0.001).
Conclusion: Malaria prevention campaigns should be tailored according to knowledge gaps, practices, environment, resources, and preferences in different areas of the Mandla District, using the health education/awareness most likely to outreach the far corners of the district where most residents were tribals.
Clinical profile of disease-causing chronic airflow obstruction in tertiary care centre in Lucknow
Authors: Srivastava Amit , Sharma Rachit , Srivastava Geetanjali
Published: June 2023

Background: Chronic airflow obstruction (CAO) is a chronic lung condition that interferes with normal breathing. In common practice, CAO includes chronic obstructive pulmonary disease (COPD), asthma, chronic bronchitis, and emphysema. The present study was planned to be carried out in a tertiary care center to evaluate the profile of patients with chronic airflow obstruction with an aim to establish a cause-effect relationship between various disorders with chronic airflow obstruction.
Aims and Objectives: The aim of the study was to find out the prevalence of different respiratory diseases among patients diagnosed as cases of chronic airflow obstruction and to evaluate the clinical and demographic profile of patients to find out risk factors and their role in etiology of chronic obstructive airflow.
Materials and Methods: We studied demographic details of the patients, smoking history, biomass exposure, and tubercular history. All the patients were clinically examined and were subjected to pulmonary function assessment. The diagnosis of the patients was made on the basis of clinical features and outcome of spirometry. COPD was graded depending on post-bronchodilator FEV1% predicted as (GOLD, 2022).
Results: Among patients with chronic airway obstruction, the number of patients diagnosed as COPD was highest (68%) followed by bronchial asthma (19%) and bronchectasis (13%). Among COPD population, 48% were smokers and 20% were non-smokers. Age of patients with bronchial asthma was significantly lower than that of other groups. In the present study, proportion of males diagnosed as COPD (NS) was significantly lower (P<0.001) as compared to other groups.
Conclusion: The findings in the present study highlighted that different types of CAO can affect a wide variety of population groups and share a number of risk factors; however, some demographic and clinical factors help in understanding the specific risks and type of disorder. A Change in environmental conditions and lifestyle can change the spectrum of CAO disorders.
A comparative study of sexual dysfunction in clinically stable schizophrenic patients receiving trifluoperazine, risperidone, and olanzapine
Authors: Thakur Rajesh Kumar , Chakraborty Durga Prasad , Bera Nirmal Kumar , Mandal Mahadeb
Published: June 2023

Background: Sexual dysfunction (SD) is a common occurrence in Schizophrenia on antipsychotics, both typical and atypical. Indian studies in this regard are not many in number.
Aims and Objectives: The aims of this study were to investigate SD in Schizophrenics on Trifluoperazine, Risperidone, and Olanzapine and also to evaluate the incidence of SD in relation to the duration of illness, duration of treatment, and dosage of the drugs in each group of subjects.
Materials and Methods: In stable schizophrenic patients, on Trifluoperazine (n=40), Risperidone (n=40), and Olanzapine (n=40), SD was assessed using Arizona sexual experience scale. Demographic profile and duration of illness, duration of treatment and drug dosage were evaluated in each group. Comparisons were made between the incidence of SD between patients taking typical and atypical antipsychotics. Furthermore, distribution of SD with duration of illness, duration of treatment and dose of drugs were assessed in each group of subjects (taking Trifluoperazine, Risperidone, or Olanzapine).
Results: (1) Majority of the subjects were males (66.67%) and above 30 years (55%). (2) Incidence of SD was higher with typical antipsychotics (statistically insignificant). (3) Increased duration of treatment and dose of drugs was associated with higher incidence of SD. Patients treated with Risperidone for longer duration and with Trifluoperazine with higher dose had higher incidence of SD (P<0.05).
Conclusion: Incidence of SD is higher in older age groups and with typical Antipsychotics. Increased duration of illness, duration of treatment and higher drug doses, all are associated with higher incidence of SD.
Acute coronary events in SARS-CoV-2 - causal or incidental?
Authors: Shatabhisha Mandal  , Gajender Singh Ranga  , Narang Shiva , Tandon Anupama
Published: June 2023

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus can damage respiratory, cardiovascular system by various mechanism which can lead to increased morbidity and mortality.
Aims and Objectives: The aim of the study was to assess incidence of acute coronary syndrome (ACS) in moderate to severe cases of infection with SARS-CoV-2.
Materials and Methods: This was an observational cross-sectional study including 60 patients of age ≥18 years of either gender presenting to GTB Hospital diagnosed as positive for SARS-CoV-2 by RT-PCR and/or Rapid Antigen Test and belonging to moderate and severe category without any prior history of respiratory, cardiac, gastrointestinal, renal illness, long-term corticosteroid, or immunomodulator use. The cardiac involvement was assessed by history, clinical examinations, and investigations.
Results: Cardiovascular involvement was present in 25% patients. Cardiac involvement included ACS including ST elevation myocardial infarction (STEMI) (3.3%), non-STEMI (10%), unstable angina (1.67%), left ventricular hypertrophy (8.3%), bundle branch block (3.3%), atrial fibrillation (1.67%), and bradycardia (1.67%). Raised cardiac enzyme levels positively correlated with ECG abnormalities. Respiratory involvement was seen in 85% of patients. among which 56.7% patients in severe category, 41.67% patients in moderate category, and 1.67% patients in mild category as per CTSI scoring. There was lung parenchymal involvement with ground glass opacities in bilateral lungs (68.3%), lobar consolidation (6.7%), cavitatory lesion (5%), pulmonary edema (5%), pneumothorax (3.3%), emphysematous changes (3.3%), and bilateral pleural effusion (3.3%).
Conclusion: ACS occurs frequently in patients with SARS-CoV-2 and it is associated with complications such as congestive heart failure, bundle branch block, atrial fibrillation, bradycardia, and heart block.
Diagnostic accuracy of f18-fluorodeoxyglucose positron emission tomography-computed tomography in the evaluation of carcinoma of unknown primary: A single-center study
Authors: Zahra Umal Baneen , Younis Muhammad Numair , Sheikh Danial Hanan  , Humaira Rauf  , Rimsha Badar  , Nefal Numair  , Abubaker Shahid
Published: June 2023

Background: The term carcinoma of unknown primary (CUP) is not a single disease entity that it can be explicated as the recognition of metastasized tumor, in which the primary origin of the malignancy from an organ or site remains occult. The term refers to a clinical disorder that revolves around and represents a diversified metastatic tumor group, for whom the diagnostic investigations are unable to pinpoint the primary site of the tumor, comprising extensive radiological techniques, invasive endoscopic procedures, and histopathology, many which fail to diagnose the primary site.
Aims and Objectives: The study was conducted to ascertain the diagnostic accuracy of fluorine-18 labeled fluorodeoxyglucose positron emission tomography-computed tomography (18F-FDG PET-CT) in the evaluation of CUP. The secondary objective of the study was to identify rate of the primary malignancies localized on 18F-FDG PET-CT that presents as CUP in local settings.
Materials and Methods: The prospective and cross-sectional study included patients with CUP who underwent 18F-FDG PET-CT scans between October 2021 and February 2022. The primary site localized on 18F-FDG PET-CT was confirmed through biopsy and histology. False-negative and false-positive patients were ascertained through biopsy and/or follow-up of 6 months.
Results: Of a total of 63 patients, 57.1% were male, while 42.9% were female with a mean age of 56.27 years. The overall detection rate of primary tumor (PT) site on 18F-FDG PET-CT was 88.8%. Abnormal sites and indicative of primary malignant tumor were correctly detected in 79.36% that were truly positive proven on biopsy. False-negative rate of scan was 4.76%, though malignancy was proven through other investigations or follow-up, while 6.36% had true negative and 9.52% showed false-positive results on the scan. In this study, the calculated diagnostic accuracy of 18F-FDG PET-CT identified as 85.7%, sensitivity 94%, specificity 40%, positive predictive value 89.2%, and negative predictive value 57.1%.
Conclusion: 18F-FDG PET-CT demonstrated high sensitivity and diagnostic accuracy ascertaining the PT site in patients with CUP in our study population.
Negative pressure wound therapy and conventional wound management at a rural tertiary care center – A comparative study
Authors: Dwaipayan Samaddar  , Md. Rijwan Alam  , Jaya Bagchi Samaddar
Published: June 2023

Background: Wounds are a major source of morbidity and sometimes, mortality and there are several ways to treat them. Negative pressure wound therapy (NPWT) is one way, and this involves the use of a suction device to aspirate and remove fluids, debris, and infectious materials from the wound bed to promote the formation of granulation tissue and wound healing. Another way is with the use of conventional wound dressings.
Aims and Objectives: The aim was to compare NPWT and conventional wound dressings for the poor in a rural setting.
Materials and Methods: Sixty consecutive cases clinically presenting with wounds between March 2018 and August 2019 were examined and divided into NPWT or conventional wound dressing groups. Outcome was measured by recording wound scores on day 7 or thereafter. Cases and controls were studied from admission until complete healing. Outcome and complications of NPWT and conventional wound dressings were noted. Results were tabulated in MS excel and evaluated using Graphpad Prism 9 software (San Diego, CA, USA).
Results: Many patients (33.33%) were in the 5th and 6th decades of life and most (77%) were male. Many wounds were located on the foot (40%). Those patients younger than 40 years of age with a wound <10 days old had a better median wound score in both the groups. The majority of wounds (43.33%) were traumatic. Wound healing was better in non-diabetics and non-smokers. There was a considerable reduction in the organism load in the NPWT group (P=0.0078). Complications were minor. The NPWT group had a significantly shorter mean hospital stay (P=0.0001).
Conclusion: NPWT enhanced granulation tissue formation leading to earlier wound healing and faster recovery compared to conventional wound dressings.
Hyperbaric oxygen therapy: Therapeutic role in various cases – A case series
Authors: Thenmozhi MD  , Sivakumar S  , Sethuraja K  , Meera SS
Published: June 2023

Hyperbaric oxygen therapy (HBOT) is an adjuvant novel non-invasive treatment technique in the field of plastic surgery for treating different wounds. This technique utilizes 100% oxygen at pressures above the atmospheric pressure. In our study, we are discussing about eight different cases in the field of plastic surgery. HBOT plays an important role in the treatment for different pathological conditions. It involves a hundred percent breathing of oxygen in a closed chamber for a certain period of time. HBOT main mechanism of action is hyper oxygenation but also enhances the immunity by antimicrobial properties and improves stem cell production.
Tree elements: Branching hopes after tissue injury in regenerative medicine
Authors: Ruby Dhar  , Kumar Arun , Subhradip Karmakar
Published: June 2023

Humans are poor model systems for studying tissue regeneration. Unlike their amphibians or rodent counterparts, humans are deficient in this quality, making the repair process following a tissue injury infrequent and limited. Most human tissues or organs, except the liver, lack in their regenerative potential. This tends to be a serious problem in organ damage until recently with the identification of enhancer regulatory elements that engage in regenerating tissue. Tissue regeneration enhancer elements (TREEs) trigger gene expression in injury sites and can be engineered to modulate the regenerative potential of vertebrate organs. TREE orchestrates selective gene expression at the injury sites, thereby modulating the regenerative activities and potential of vertebrate organs.
Using a genetic screen of a zebrafish-based tissue injury model, Kang et al., identified the gene expression signature associated with regeneration. This concept is being tried and tested to see its possibility in regenerating injured myocardium following myocardium infraction leading to ischemia and tissue damage. TREEs displayed specificity and efficacy in a systemically delivered recombinant AAV vector system in mice and can be used as a gene-therapy module to repair damaged tissue. A team of researchers at the Duke School of Medicine, USA, headed by Ken Poss, reported their findings in cell stem cell, 2022. These researchers further took a step ahead to actually orchestrate a damaged myocardium repair and the growth of new muscles to restore normal cardiac function. Even more spectacular is that tissue growth is selective only at injury sites and becomes quiescent once the damage is repaired.
HOW THIS MAY IMPACT REGENERATIVE MEDICINEUsing a TREE-based system, one can attempt to use gene therapy with viral vectors to enhance heart tissue cell proliferation and growth, thus improving cardiac regeneration. This system will further strengthen by incorporating better gene payloads, thereby opening new possibilities to rescue scar tissue and restore function.
According to the World Health Organization, MI-related death in India accounts for one-fifth of deaths worldwide, which is alarmingly higher in the younger population. The age-standardized cardiovascular disease (CVD) death rate of 272/100,000 in India is much higher than the global average of 235. Under these circumstances, these findings seem extremely relevant. Although we may not fix a broken heart, engineered TREE elements might at least fix a damaged myocardium branching hopes for numeroussuffering from CVD.
Impact of Workforce Diversity on the Organizational Performance of Banking Sector of Nepal: A Mediating role of Managerial Expertise
Authors: Pandey Dhruba Lal , Risal Nischal
Published: June 2023

Work force diversity has become an organizational imperative and as such, it is important for organizations to understand, embrace and manage diversity to be able to outperform competitors. Researchers have produced mixed result on the impact of diversity on performance. Some scholars found a positive relation between diversity factors and performance whilst others have found negative relations between diversity factors and performance. This paper therefore examines the effect of work force diversity factors (generational diversity, gender diversity, ethnic/racial diversity) and the role of managerial expertise on organizational performance. This study followed the correlational research design as it intends to evaluate the impact of workforce diversity on banking sector performance. The population of the study was managerial level employees working in banking sector of Nepal and 156 responses were collected and analyzed. Five-point Likert scale questionnaire was used to collect the data. Correlation matrix and regression model were used to analyses the data. Physical diversity characters; age, gender and ethnicity were considered for the study. Research concluded that gender and ethnic diversity positively affect the organizational performance but age diversity may cause conflict in the organization, however, managerial expertise positively affect organization performance which can contribute to reduce conflict that arise because of age diversity in the organization.
Penerapan Metode Waterfall pada Sistem Informasi Penjualan Dan Persediaan Pada Warung Makan Hejo Karawang
Authors: Faittullah Akbar Muhammad
Published: June 2023

Media internet dapat bermanfaat dalam bidang apapun, manfaat internet dalam kehidupan dapat digunakan untuk meningkatkan pengetahuan serta menambah wawasan. Saat ini internet tidak hanya di pakai untuk mencari informasi dan komunikasi saja, tetapi juga dapat digunakan untuk mensukseskan bisnis maupun usaha. UMKM merupakan singkatan dari Usaha Mikro Kecil dan Menengah, yang merupakan salah satu model dalam kegiatan perdagangan, biasanya dilakukan oleh individu atau perorangan dengan badan usaha yang lingkupnya lebih kecil Warung Makan Hejo merupakan salah satu contoh dari usaha mikro kecil dan menengah yang menyediakan berbagai macam menu makanan dan minuman. Dalam pelayanan kepada pembeli masih menggunakan sistem manual, dimana cukup memakan waktu. Agar dapat memberikan kenyamanan dan pelayanan yang terbaik salah satu cara yang tepat adalah memanfaatkan teknologi informasi yaitu dengan menggunakkan website. Sistem yang sudah terkomputerisasi akan memudahkan bagi pengguna. Metode pengembangan perangkat lunak yang digunakan yaitu metode Waterfall. Perancangan Sistem informasi penjualan dan persediaan pada Warung Makan Hejo dapat mempercepat dan memudahkan pelayanan penjualan serta pengelolaan data persediaan.
PENENTUAN POLA PENJUALAN SPAREPART MESIN FOTOCOPY PADA CV. ANDALAN MENGGUNAKAN ALGORITMA FP-GROWTH
Authors: Vahlefi Muhamad Reza , Iskandar Yahya , Abidin Abidin , Suhada Satia
Published: June 2023

CV. ANDALAN yang bergerak dibidang barang dan jasa berpusat di Jakarta, sebuah perusahaan yang menjual sparepart fotocopy. Semakin berkembangnya persaingan dalam dunia bisnis menuntut para pengembang untuk menemukan suatu yang dapat meningkatkan penjualan dan pemasaran produk di perusahaannya, salah satunya adalah dengan memanfaatkan teknologi untuk membantu memprediksi sparepart yang paling sering diminati oleh konsumen. Selama ini pihak CV. ANDALAN kurangnya menganalisa persediaan sparepart di gudang, disamping itu juga pihak perusahaan tidak mengetahui apakah produk penjualan tahun sebelumnya lebih meningkat dibanding tahun berikutnya, dan produk apa saja yang paling laris pada perusahaan sedangkan jumlah data yang begitu besar bisa menjadi masalah dan kewalahan dalam menghitung produk yang ada pada perusahaan tersebut. Oleh karena itu dibutuhkan suatu inovasi baru yang dapat menyediakan suatu informasi yang strategis yaitu data mining. Dengan diadakannya asosiasi pada transaksi sparepart fotocopy menggunakan algoritma FP-Growth diharapkan CV. ANDALAN dapat segera mengetahui produk apa saja yang paling diminati oleh konsumen. Sehingga diharapkan mampu meningkatkan penjualan sparepart fotocopy, agar tidak terjadi kerugian pada CV. ANDALAN.
IMPLEMENTASI METODE PROFILE MATCHING DAN MULTI FACTOR EVALUATION PROCESS (MFEP) DALAM SELEKSI PENCARI KERJA
Authors: Purwanto Heru , Prasetyo Arfhan , Suryadithya Rachmat
Published: June 2023

Proses seleksi pencari kerja yang efektif pada perusahaan sangat dibutuhkan untuk membantu pengambilan keputusan suatu organisasi.  Tujuan dari makalah ini adalah untuk membuat sistem dan pengembangan sistem pengambilan keputusan pada bagian Sumber daya Manusia (SDM) untuk menemukan kemudahan dalam menentukan penilaian diterima atau tidak pencari kerja.Multi Factor Evaluation Process (MFEP) merupakan pendekatan yang sangat efektif dalam menangani masalah keputusan dan Profile matching merupakan metode pemilihan multi kriteria, dimana penentuan Aspek dan kriteria (nama sekolah, jurusan sesuai, nilai IPK memenuhi, tahun kelulusan, kursus yang relevan, pengalaman kerja dibidang yang sesuai, proyek yang pernah ditangani, kesesuaian gaji, domisili, jujur, bertanggungjawab dan disiplin, kerjasama, komunikatif dan percaya diri). Kelebihan dari metode profile matching adanya pemberian Nilai standar dari kriteria utama dan pendukung   sehingga memudahkan pengguna sistem dalam menentukan pilihan yang tersedia.  MPEF perlu mendefinisikan Faktor nilai pendidikan,nilai target dan nilai sikap.Hasil akhir perhitungan memberikan informasi merujuk kepada nama  yang sama.Metode Profile Matching urutan pertama dengan nilai 4,62 , urutan kedua 4,59 dan urutan ketiga 4,52. Metode MFEP urutan pertama=0,513,urutan kedua=0,510 dan urutan ketiga=0,502. Sistem ini mendukung keputusan tidak hanya memudahkan penentuan penilaian  pencari kerja tetapi juga memberikan alternatif urutan kandidat  yang memiliki potensi utk dapat dipertimbangkan oleh perusahaan atau organisasi.
REGULATIONS ON ACADEMIC INTEGRITY: IMPLEMENTATION PROBLEMS
Authors:   Вінницький національний технічний університет, ZALIUBIVSKA O. , SLOBODIANIUK O. ,   Інститут вищої освіти Національної академії педагогічних наук України
Published: June 2023

The article discusses the problems of implementing the policy of academic integrity in higher education institutions; it was found that the implementation of fundamental principles, the formation of an educational environment with zero tolerance for violations of ethical standards requires the development of a policy and the introduction of the practice of academic integrity. The key in this process is the agreement of the declaration of values and their approval in educational practice. The results of the study on the awareness of the essence and meaning of academic integrity and the desire to articulate a position on academic integrity by students of the second (master’s) level of education of the Vinnytsia National Technical University were also analyzed and summarized. The object of the study was the participants' texts on the meaning of academic integrity in a higher education institution. Qualitative-quantitative analysis was applied to the participants’ texts according to the following criteria: 1) identification of positions on the issue of academic integrity; 2) «I»-position (self-discovery, self-analysis, self-exposure); 3) accentuation of texts; 4) appeal to the moral principles of academic integrity. The authors came to the following general conclusions: at the same time as learning the essence, content and meaning of academic integrity at the theoretical level, almost all research participants emphasized the position of observing academic ethical standards; along with this, it was noticeable that the master's students kept silent about the situation of violation and responsibility, which indicates the avoidance of the discussion regarding the procedures for handling cases of violations and responsibility for non-compliance with ethical principles. The declarative nature of the overwhelming number of the studied texts, hiding the «I» position in them, avoiding the articulation of values give grounds for the conclusion that a significant part of master’s students is not aware of the essence and meaning of academic integrity. Generalizations of research results can be used in changing approaches, processes and procedures to improve the system for ensuring academic integrity at the Vinnytsia National Technical University and other institutions of higher education. Key words: institution of higher education, academic integrity, policy, regulation, violation of academic integrity, text.
ПОГОВОРИ ЗІ МНОЮ: ДІАЛОГ ЗІ ШТУЧНИМ ІНТЕЛЕКТОМ ПРО ВИКОРИСТАННЯ ЙОГО В НАВЧАННІ ТА НАУКОВИХ ДОСЛІДЖЕННЯХ
Authors:   Бердянський державний педагогічний університет, KOVACHОV S. , SUCHIKOVA Y. ,   Бердянський державний педагогічний університет
Published: June 2023

The article explores the use of artificial intelligence (AI) in the educational process, writing scientific articles, and the ethical issues that arise with its application. The research is based on an analysis of dialogue with the chatbot ChatGPT, examining the possibilities of using AI in learning and science. The results of the analysis, along with the study of relevant literature sources, lead to the conclusion that caution is needed when using language models based on AI. The article discusses issues of academic integrity when applying artificial intelligence for text generation. It is pointed out that these issues and ethical aspects are not yet regulated at the legislative and academic levels, as ChatGPT has only existed for a few months, and appropriate regulatory mechanisms are still being formed. In particular, it is highlighted that ChatGPT is proficient in text generation technology but sometimes makes mistakes and provides false information. This can create difficulties for users who rely on accuracy and reliability of the information received. The article's results aim to help readers better understand the potential of artificial intelligence in education and research, as well as the problems associated with its application. Possible ways to optimize the use of AI technologies in the academic environment are identified, and the importance of developing critical thinking and information evaluation skills is emphasized. The focus is on the need to raise students', teachers', and researchers' awareness of the potential challenges and limitations AI may have in research activities. Furthermore, the article discusses the role of universities and scientific communities in developing strategies that promote the ethical use of AI in education and research. It is emphasized that it is important to consider both the positive aspects of AI and the potential risks to academic integrity and research quality. One solution could be the implementation of special courses on AI ethics, which would help students and researchers better understand various aspects of AI technologies, including their practical and ethical sides. Active collaboration between academic institutions and AI development companies is also recommended, with the aim of developing safer and more responsible language models. Considering the rapid development of AI, the authors call for accelerating the creation of national and international legal frameworks that would regulate the use of artificial intelligence in education and research. The article underlines the need for a broad discussion among representatives of the scientific community, legislators, and the public on the ethical issues and possible consequences of using AI in the academic world. Key words: artificial intelligence, large language models, ChatGPT, education, science.