bluuebunny/crossref_metadata_2025 huggingface dataset:
Empowerment of basic service quality in private higher education institutions in Malaysia
Authors: Ramasamy Ganesh , Abdullah Haslinda
Published: August 2024

The purpose of this study is to determine the relationship between the exogenous variables (administrative support, career placement & employability, academic staff support, institutional factors, and information systems) as service delivery quality dimensions with satisfaction and moderating variable (academic and social integration) between endogenous variables (satisfaction and retention) among undergraduate students from Malaysian private higher education institutions. In order to accomplish the objectives proposed with hypotheses, a model reflecting the relationship between service delivery quality dimensions and satisfaction moderated by academic and social integration towards retention is applied. This empirical study focused on probability-stratified random sampling with a final sample size of 309 students. This study achieved statistically significant positive results by emphasizing academic and social integration as a moderating variable to achieve student retention by linking Perceived Performance Theory and Tinto’s Interactionist Theory from satisfaction to retention. Evaluation of the structural model on the coefficient of determination for the model’s predictive accuracy in this study produced an R2 = 0.85 for satisfaction, suggesting nearly 85% of the variance in endogenous latent construct satisfaction is explained by all the service delivery quality dimensions linked to it. As for retention produced R2 = 0.74, suggesting nearly 74% of the variance in endogenous latent construct retention is explained by all the service delivery quality dimensions linked together with satisfaction and academic and social integration as moderator. The model has a substantial effect with 0.76 in the Goodness-of-Fit index, indicating that the model has better explaining power.
GIS served ambulance arrival time in the Kvemo Kartli region, Georgia
Authors: Elizbarashvili Mariam , Kvirkvelia Bela , Chikhradze Nino , Khuntselia Tamar , Elizbarashvili Elizbar
Published: August 2024

We aimed to estimate the arrival time of the ambulance based on a GIS in Kvemo Kartli, one of the regions of Georgia, analyze contextual factors that affect this time, and support defining the target response time standards in the region and country. For this purpose, the isochrone map of ambulance travel time intervals to patients was created based on GIS, taking into account the location of the emergency bases, settlements, the length of the roads, and data on the maximum permitted speeds of the vehicle, based on which it is estimated what percentage of the population will and will not be reached by ambulance in the different time intervals. The results show that in the underserved areas where the ambulance cannot reach the patients, within 8 minutes lives 52 percent of the population of Kvemo Kartli, which is almost 222,976 people. Thus, the 8-minute reachability area of an ambulance should be expanded, and it is also necessary to define response time standards in the Kvemo Kartli region, Georgia. These actions will enhance the quality of emergency medical services and benefit the population.
The ICT-related SDG indicators: Prerequisites, progress, and interpretation
Authors: Dodonov Vyacheslav
Published: August 2024

Despite the efforts of public institutions and government spending, progress on the SDGs is mixed at the midpoint of the 2030 timeframe-some targets are off track and some have even regressed. ICT-related indicators, on the other hand, stand out for their strong progress. The author notes this progress, but questions its relationship to the implementation of the 2030 Agenda. He argues that the growth in internet and mobile network penetration is due to the economic characteristics of communications development. The objectives of the article are to review the impact of the ICT sector on economic growth, to consider the role of government spending in the development of this sector in the context of fostering the achievement of the Sustainable Development Goals, and to identify the prerequisites for significant progress towards SDG targets in communications. Achievement of these objectives will make it possible to determine whether this progress is a consequence of targeted efforts to achieve the SDGs, or whether, in accordance with the author’s hypothesis, it is based on the specifics of the ICT sector’s development, allowing for the accelerated spread of mobile communications and the Internet, which is reflected in the SDG indicators.
Supply chain finance and enterprise innovation performance: The mediating roles of supply chain concentration
Authors: Huang Huixing , Sutunyarak Chonlavit
Published: August 2024

Innovation has always been a key driver of economic development, particularly in the context of small and medium-sized enterprises (SMEs). Despite their significant contributions, many of these enterprises currently lack strong research and development capabilities, face challenges in innovation investment, and struggle to produce high-quality innovative results. To address these issues and overcome funding obstacles, many SMEs are turning to supply chain finance (SCF) as a supplementary financing method. This study utilizes stata16 and fixed effects models to analyze the impact and mechanism of SCF on enterprise innovation performance (EIP), focusing on companies listed on the SME Board and GEM in Shenzhen, China from 2011 to 2020. The findings reveal that SCF can effectively enhance enterprise innovation output, facilitating the conversion of resources into high-quality innovation results. Additionally, the study demonstrates that supply chain concentration acts as a mediator between SCF and EIP. Moreover, SCF is found to significantly boost EIP with low supplier concentrations and high customer concentrations. This suggests that SMEs encounter obstacles to innovation from suppliers and customers, and SCF may not fully address the challenges posed by these relationships. Overall, this research offers new empirical insights into the economic implications of companies adopting SCF, providing valuable guidance for enterprises in optimizing innovation decisions and for the government in enhancing supplier and customer information disclosure systems.
GLOBALNI INDEKS INOVATIVNOSTI: PRIMER MERENJA INOVATIVNOSTI U REGIONU ZAPADNOG BALKANA
Authors: Ivanić Ana
Published: August 2024

Ovaj istraživački rad,analizom izveštaja “Globalnog indeksa inovativnosti”vrši  komparaciju indikatora u okviru podindeksa “Humani kapital i istraživanje” koji predstavljaju relevantne pokazatelje stanja obrazovnog sistema, kulture inovacija i ekonomskog prosperiteta za region Zapadnog Balkana u odnosu na Švajcarsku. Razlog odabira ova dva regiona za izradu komparativne studije polazi od činjenice da Švajcarska zauzima visoko prvo mesto kao najinovativnija država sveta na “Globalnom indeksu inovativnosti”, dok se zemlje regiona Zapadnog Balkana suočavaju sa izazovima ekonomskog i društvenog razvoja. Na osnovu analizom stečenih uvida, u zaključku su obrazloženi konkretni predlozi i korektivne mere koje je moguće realizovati kako bi region Zapadnog Balkana pratio primer dobre prakse iz Švajcarske i doprineo budućem ekonomskom prosperitetu regiona.
UZROCI NASTANKA SPORNIH SITUACIJA NA PROJEKTU IZMEĐU IZVOĐAČA I PODIZVOĐAČA I NJIHOVA PREVENCIJA
Authors: Biorac Tamara
Published: August 2024

Predmet master rada predstavlja ispitivanje uzroka nastanka spornih situacija na projektu između izvođača i podizvođača i njihova prevencija. Cilj je da se istraže faktori, koji utiču na sporne situacije između izvođača i podizvođača, i da se identifikuju mere i strategije koje bi mogle da pomognu u prevenciji i sprečavanju sporova. Metodološki deo rada predstavlja empirijsko istraživanje iz oblasti razmatranih tema. Od empirijskih metoda je primenjena metoda ispitivanja. Podaci su prikupljeni putem onlajn ankete, koristeći Gugl upitnik (Google Forms). Primenjena je kombinacija Delfi istraživanja sa rezultatima kvantitativnog istraživanja.
Risk assessment and quality project management
Authors: Reaiche Carmen , Papavasiliou Samantha , Anglani Frank
Published: August 2024

This freely available eBook provides a comprehensive coverage of the fundamentals of project quality management and risk management. It makes breakthroughs in project quality by combining risk project management with quality management processes. This eBook is one of four in a series of manuals in the field of project management. It provides a short summary of current best practices in project risk management while introducing the connection and relevance of quality project management, so that practitioners, students and those responsible for managing risk and quality in projects may do so successfully.
Legal research skills: an Australian law guide: 2024 JCU edition
Authors:   James Cook University Library,   The University of Queensland Library,   University of Southern Queensland Library,   Charles Darwin University Library,   Southern Cross University Library,   Deakin University Library,   Queensland University of Technology Library,   University of South Australia Library
Published: August 2024

The updated 2024 edition of this guide is designed to support James Cook University students undertaking legal studies and contribute to the development of legal research skills.
„…itt van a nyakunkon” : Grósz Károly és Nagy Imre
Authors: Medgyesi Konstantin
Published: August 2024

Grósz Károly, ahogy arról a későbbiek nyilatkozott, az 1956 előtti években és 1956 októberében „hitt” Nagy Imrében. Az 1980-as évek második felétől egészen haláláig azonban az akkor már több mint három évtizede halott Nagy Imre ádáz kritikusává vált. El akarta volna játszani azt a nem túl hálás történelmi szerepet, miszerint ő majd leleplezi a mártírhalált vállaló néhai miniszterelnök bűneit. Grósz kommunikációjában markánsan eltért a késő Kádár-kor kommunista szereplőitől; érthetőbben, világosabban, lényegre törőbben beszélt, ideológiai béklyóktól mentesebben volt képes megszólalni. Az 1990-es években adott visszaemlékező interjúiban őszintének tűnő módon szólt a múlt jelenségeiről. Az újságírók, akikkel akkoriban találkozott a bukott, súlyos betegséggel küzdő utolsó főtitkár, szinte egybehangzóan állítják: Grósz nem beszélt mellé, a közelgő halál árnyékában sem menekült semmilyen kényes kérdés elől.1 Szavai mögött alig-alig érzékelhető indulat, harag, gyűlölet. Egy kivétel van: Nagy Imre. Neki nem tudott megbocsátani, őt nem tudta „elengedni” – ha róla volt szó, a szuggesztíven és őszintén kommunikáló Grósz nem tudta elfojtani indulatait. A Nagy Imre-ügyet érintő megszólalásaiban a lelki frusztráció paneljei egyértelműen azonosíthatóak; a pragmatikus politikuson, a szenvtelenül érvelő kommunikátoron úrrá lesznek a negatív érzései. De miért éppen Nagy Imre? E tanulmányban arra törekszünk, hogy e különös lelki és politikai jelenségnek a szerteágazó összefüggéseit megvizsgáljuk.
Revolutionizing Diagnostic Frontiers: The Emergence of Graphene-Based Nanobiosensors
Authors: P Fathima Shadin
Published: August 2024

The integration of graphene into the realm of biosensing has marked a transformative era in diagnostic methodologies, particularly in the detection of health-related biomarkers. This review paper delves into the multifaceted applications of graphene and its derivatives in the development of advanced nanobiosensors, underscoring their role in revolutionizing clinical diagnostics. Graphene’s unique chemical structure and its exceptional electrical, optical, and mechanical properties have been pivotal in enhancing the performance of biosensors. These advancements are characterized by their high sensitivity, selectivity, rapid response, and low detection limits, coupled with long-term stability. The paper explores various fabrication methods and functionalization techniques of graphene-based materials, highlighting their successful application in detecting a wide array of chemical and biological molecules for disease diagnosis, pathogen identification, and biomarker analysis. In the context of point-of-care devices, the review emphasizes the growing popularity of graphene in oral bioelectronics, particularly for salivary biomarker detection. The ease of access to human saliva and its rich composition of analytes positions it as an ideal medium for non-invasive health monitoring. The review provides a comprehensive overview of the structural designs of graphene electronics, their performance in health monitoring applications, and the challenges and future directions in this field. Furthermore, the review assesses the suitability of graphene in creating wearable diagnostic and prognostic devices, considering its biocompatibility, ease of functionalization, and flexibility. The potential of graphene-based biosensors in early disease detection and real-time health monitoring is critically analyzed, offering insights into their current status toward commercialization and the challenges ahead. This paper aims to provide a holistic view of graphene’s impact on clinical diagnostics, envisioning a future where nanotechnology and biosensing converge to offer advanced healthcare solutions.
Human-in-the-loop active learning for goal-oriented molecule generation
Authors: Nahal Yasmine , Menke Janosch , Martinelli Julien , Heinonen Markus , Kabeshov Mikhail , Janet Jon Paul , Nittinger Eva , Engkvist Ola , Kaski Samuel
Published: August 2024

Machine learning (ML) systems have enabled the modelling of quantitative structure-property relationships (QSPR) and structure-activity relationships (QSAR) using existing experimental data to predict target properties for new molecules. These property predictors hold significant potential in accelerating drug discovery by guiding generative artificial intelligence (AI) agents to explore desired chemical spaces. However, they often struggle to generalize due to the limited scope of the training data. When optimized by generative agents, this limitation can result in the generation of molecules with artificially high predicted probabilities of satisfying target properties, which subsequently fail experimental validation. To address this challenge, we propose an adaptive approach that integrates active learning (AL) and iterative feedback to refine property predictors, thereby improving the outcomes of their optimization by generative AI agents. Our method leverages the Expected Predictive Information Gain (EPIG) criterion to select additional molecules for evaluation by an oracle. This process aims to provide the greatest reduction in predictive uncertainty, enabling more accurate model evaluations of subsequently generated molecules. Recognizing the impracticality of immediate wet-lab or physics-based experiments due to time and logistical constraints, we propose leveraging human experts for their cost-effectiveness and domain knowledge to effectively augment property predictors, bridging gaps in the limited training data. Empirical evaluations through both simulated and real human-in-the-loop experiments demonstrate that our approach refines property predictors to better align with oracle assessments. Additionally, we observe improved accuracy of predicted properties as well as improved drug-likeness among the top-ranking generated molecules.
MOFs with the Stability for Practical Gas Adsorption Applications Require New Design Rules
Authors: Oh Changhwan , Nandy Aditya , Yue Shuwen , Kulik Heather
Published: August 2024

Metal-organic frameworks (MOFs) have been widely studied for their ability to capture and store greenhouse gases. However, most chemical discovery efforts use computational study of hypothetical MOFs without consideration of their stability, limiting the practical application of novel materials. We overcome this limitation by screening hypothetical ultrastable MOFs that have predicted high thermal and activation stability, as judged by machine learning (ML) models trained on experimental measures of stability. We enhance this set by computing the bulk modulus as a measure of mechanical stability and filter 1,102 mechanically robust hypothetical MOFs from a database of ultrastable MOFs (USMOF DB). Grand Canonical Monte Carlo simulations are then employed to examine the gas adsorption properties of these hypothetical MOFs, alongside a database of experimental MOFs. We identify privileged building blocks that allow MOFs in USMOF DB to show exceptional working capacities compared to the experimental MOFs. We interpret these differences by training ML models on CO2 and CH4 adsorption in these databases, showing how poor model transferability between datasets indicates that novel design rules can be derived from USMOF DB that would not have been gathered through assessment of structurally characterized MOFs. We identify geometric features and node chemistry that will enable the rational design of MOFs with enhanced gas adsorption properties in synthetically realizable MOFs.
Engineering of [(2D MoS2/CNTs)1(Ti3C2Tx/CNTs)2]x3 Heterostructures via Layer-by-Layer Spray Deposition: towards tailored high-performing energy storage devices
Authors: Liu Tianzhu , Ladole Atharva H. , Tseng Eric N. , Knapp Michael , Dolotko Oleksandr , Shuck Christopher E. , MENDOZA SANCHEZ BEATRIZ
Published: August 2024

In this work, we engineer 2D/3D hybrid architectures or heterostructures using cost-effective and scalable layer-by-layer spray deposition methods using 2D MoS2, Ti3C2Tx as building blocks. We assemble heterostructure using a simple-to-complex strategy and systematically optimize the architecture to improve charge storage performance. The architecture and performance of the heterostructures are investigated using imaging and a variety of electrochemical methods. The optimized [(2D MoS2/CNTs)1(Ti3C2Tx/CNTs)2]x3 heterostructure showed remarkable synergystic effects in terms of capacity achieved (up to 800 mAh g-1 at 0.05 A g-1), surpassing the sum of capacities of the constituting building blocks, excellent cycling stability from low to very high rates, e.g. up to 2000 cycles at 5 A g-1 with 100 % Coulombic efficiency and capacity retention. This performance and determined predominant pseudocapacitive charge storage processes suggest applications for Li-ion capacitors. We demonstrated that by adequate tailoring of heterostructures, the drawbacks of individual nanomaterials such as the low cycling stability of 2D MoS2 can be overcome while maintaining the benefits of its high capacity. The manufacturing methods and architecture design principles here established constitute a proof of concept of the powerful potential of heterostructures in surmounting the limitations of capacity, rate performance and cycling stability of current commercial energy storage devices.
The Case for Bio-jet Fuel from Bioethanol in Brazil: An Optimization-based Analysis Using Historical Market Data
Authors: Watson Madelynn , Veronese da Silva Aline , Gerber Machado Pedro , de Oliveira Ribeiro Celma , Augusto Oller do Nascimento Claudio , Dowling Alexander
Published: August 2024

Bio-jet fuel is an attractive option to reduce global greenhouse gas (GHG) emissions from the aviation industry. In this paper, we propose a two-stage stochastic linear program to analyze the optimal operation of an integrated sugarcane mill that also produces sustainable aviation fuel (SAF) using historical time-series commodities price data. We find currently available alcohol-to-jet (ATJ) technologies require a premium price of 1.25 $ L−1 (6.46 R$ L−1) to incentivize bio-jet fuel production from sugarcane. This incentive can be reduced to 0.5 $ L−1 (2.58 R$ L−1) with emerging ATJ technologies that are undergoing scale-up. Via sensitivity analysis, we also quantify the impact of ATJ conversion, operating costs, and incentives on the fraction of weeks bio-fuel production is favorable to further guide technology and policy development. Currently, sugarcane mills are operated with little flexibility due to the structure of the Brazilian market. We estimate that a hypothetical, fully flexible sugarcane mill could gain up to 6 million R$ per year in profit; most of this value comes from the flexible operation of the ATJ process, which motivates standalone upgrading facilities. Finally, we show how analyzing the optimality conditions of the integrated sugarcane mill allows for easy communication of optimal behavior in terms of relative product prices. These results provide a basis to guide bio-jet fuel policy and technology development in the context of Brazil, and these ideas can be extended to develop bio-jet fuel capacity and supply chains globally.
Role of Hartree-Fock Exchange in Spontaneous Proton Transfer Reactions
Authors: Arzoo Arzoo , Patwari G Naresh
Published: August 2024

The electric field experienced by a protic group depends primarily on the solvent configuration and those configurations in which the electric field along the protic group exceeds a critical value results in spontaneous proton transfer. Electronic structure calculations using DFT result in artifacts in estimating the critical electric fields for the spontaneous proton transfer process, often leading to bistable behaviour, in contrast to MP2 level calculations. The discrepancies in assessing the critical electric fields using the DFT method can be attributed to the under-representation of Hartree-Fock exchange in many commonly used functionals such as B3LYP and M06-2X, whose effect is precipitative in the proton transferred structures. Using the (critical) electric field values obtained by the MP2 level of theory as a benchmark, it is shown that the B3LYP functional altered to include 40% Hartree-Fock exchange omits the bistable behaviour and calculates reasonably accurate critical electric fields.
Dynamics of amphiphilic poly(ε-caprolactone) micelles with doxorubicin and transition temperature predictions using all-atom molecular dynamics simulation
Authors: Shah Tejas , Stefan Mihaela C. , Torabifard Hedieh
Published: August 2024

Despite the advent of novel therapeutics, efficient delivery of antineoplastic drugs remains a challenge. Biodegradable polymeric micelles represent a promising frontier by offering enhanced drug solubility, tumor targeting, and controlled release profiles. However, the underlying dynamics governing the drug encapsulation and solvation within these micellar structures are still vague and poorly understood. In this study, we used amphiphilic poly(γ-benzyloxy-ε-caprolactone)-b-poly(γ-2-[2-(2-methoxy ethoxy)ethoxy]ethoxy-ε-caprolactone) as a model copolymer with doxorubicin as a model drug and performed all-atom molecular dynamics simulations to understand the regulating mechanism of the encapsulation process. The results are in good agreement with the experimental results. In addition, we interpreted the dynamic behavior of the polymeric micelles and vital intermolecular interactions that play a key role in drug encapsulation. Our study provides a theoretical approach to obtain insights for designing and enhancing novel anticancer drug carriers for therapeutics.
Strategies and Tactics for Site Specific Deuterium Incorporation at Each Available Carbon Atom of a-Pinene
Authors: Thomson Regan , Luo Jingyi , Upshur Mary Alice , Vega Marvin , Doering Nicolle , Varelas Jonathan , Ren Zhouyang , Geiger Franz , Sarpong Richmond
Published: August 2024

The development of several unique strategies and tactics for the synthesis of a-pinene isotopologues that has culminated in access to all eight possible isomers with deuterium incorporated selectively at each available carbon atom is described. Access to this library of isotopologues provides new tools to more fully investigate the atmospheric autoxidation of a-pinene, a complex process that plays a major role in the formation of secondary organic aerosol (SOA) in the Earth’s atmosphere.
MolAnchor – Explaining Compound Predictions Based on Substructures
Authors: Lamens Alec , Bajorath Jürgen
Published: August 2024

In medicinal chemistry, the impact of machine learning remains limited if predictions are not understood, which often precludes experimental follow-up. Therefore, chemically intuitive approaches that aid in model understanding and interpretation at the molecular level of detail are sought after. While feature attribution methods quantifying feature importance for model decisions are widely used in many areas, they must typically be combined with visualization techniques, if possible, to render the results accessible from a chemical viewpoint. On the other hand, there are approaches such as counterfactuals that yield closely related chemical structures with different prediction outcomes, providing direct access to structural features that critically influence model decisions. Herein, we introduce another approach designed to rationalize chemical predictions based on molecular structure. Therefore, we adapt principles underlying the anchor concept from explainable artificial intelligence (XAI) and alter them for molecular machine learning. The resulting method, termed MolAnchor, systematically identifies substructures in test compounds that determine property predictions, thus ensuring chemical interpretability. The MolAnchor methodology is made freely to the medicinal chemistry community available as a part of our study.
Analysis Of Suffixed Words of Plywood Manufacturing Article
Authors: Jumanto Jumanto , Chung Eugene , Oei Florence Hadi Soeroyo , Fattah Misbachul Munir Al
Published: August 2024

The purpose of this research to find out and analyze suffix word of the manufacturing process. The primary goal of this research is to determine how the suffixing process occurs in the manufacturing plywood.  Plywood stands as a foundational building material, comprising thin wood layers or plies bonded together with adhesive. It divides into two primary categories: softwood plywood and hardwood plywood, each aligning with specific tree species. Coniferous varieties, such as firs and pines, predominantly contribute to softwood plywood, while deciduous species, including oak, poplar, maple, cherry, and larch, find prominence in hardwood plywood.
 
Softwood plywood undergoes production by bonding multiple layers of dry softwood veneers with adhesive. Its versatile applications encompass wall siding, sheathing, roof decking, concrete formboards, floors, and containers. Within industrial classifications, it falls under Standard Industrial Classification (SIC) code 2436 and North American Industrial Classification System (NAICS) code 321212 for "Softwood Plywood and Veneer."
 
On the other hand, hardwood plywood emerges from the bonding of hardwood veneers using adhesive. The face and back layers encase a core, typically composed of lumber, veneer, particleboard, or medium density fiberboard. Hardwood plywood manifests in various forms, from panels to specialized components like curved hardwood plywood, seat backs, and chair arms. Its domain of application extends to interior uses such as furniture, cabinets, architectural millwork, paneling, flooring, store fixtures, and doors. Classified under SIC code 2435 and NAICS code 321211 for "Hardwood Plywood and Veneer," this type of plywood showcases a distinct production process.
Tindak Tutur yang Muncul dari Hasil Respons Mitra Tutur Terhadap Tuturan Komisif
Authors: Muhammad Ramadhan Naziih Al Baihaqi  , Desy Irmayanti
Published: August 2024

Berfokus pada tindak tutur ilokusi, tindak tutur jenis ini memiliki lima jenis, yaitu tindak tutur representatif (asertif), komisif, direktif, ekspresif, dan deklaratif. Sehubungan dengan hal tersebut, penelitian ini membahas tentang tindak tutur yang muncul dari hasil respons mitra tutur terhadap tuturan komisif dalam anime Nisekoi karya Naoshi Komi. Tujuan penelitian ini adalah untuk mendeskripsikan jenis tindak tutur apa yang muncul dari hasil respons mitra tutur dalam anime tersebut. Penelitian ini menggunakan teori jenis tindak tutur oleh Searle (1979: 12-17). Metode yang digunakan adalah metode deskriptif kualitatif. Hasil penelitian ini ditemukan sebanyak 53 data jenis tindak tutur yang muncul dari hasil respons, yaitu terdiri dari 1) tindak tutur representatif muncul sebanyak 7 data; 2) tindak tutur komisif sebanyak 10 data; 3) tindak tutur direktif sebanyak 24 data; dan 4) tindak tutur ekpresif sebanyak 12 data. Dari total temuan data, jenis tindak tutur direktif paling banyak ditemukan daripada jenis tindak tutur lainnya, kemudian, tidak ditemukan adanya respons yang tergolong jenis tindak tutur deklaratif.
Impoliteness Strategies in Hate Comments by Netizens Towards K-Pop on Social Media
Authors: Nisa Balgiz Khairun , Dewanti Anna , Salimah Salimah
Published: August 2024

One phenomenon that has become popular in Indonesia is the entry of Korean culture. Korean culture strongly influences various aspects of daily life, one of which is musical taste, namely K-pop music, which is in great demand by young people. However, only some have the same interests, so some netizens comment negatively on K-Pop on Instagram. This study aims to determine the types of impoliteness strategies and functions of impoliteness used by netizens in commenting on K-Pop on Instagram. This study used a descriptive-qualitative method. The writer has collected 37 comments from March 2022 to March 2023. In analyzing the data, the writer used the theory proposed by Culpeper (1996) for the types of impoliteness strategies and Culpeper's (2011) for the functions of impoliteness. The results of the study show that netizens used four impoliteness strategies in their hate comments only: bald on-record impoliteness is 11 comments, positive impoliteness is 12 comments, negative impoliteness is 5, and sarcasm or mock politeness is nine comments. Positive impoliteness becomes the most frequent strategy; furthermore, this study found two functions of impoliteness: affective impoliteness and entertaining impoliteness. Affective impoliteness appears as the dominant function in this study. The study is expected to raise awareness about being wiser when commenting on social media without applying impoliteness strategies.
A trade union perspective on the New Zealand health and safety system
Authors: Bourne Cory
Published: August 2024

Trade unions at their core are a democratic collective of workers seeking to use their joint strength to enact positive improvements to their work and workplaces. Workers recognise that safe and healthy work is a fundamental aspect of good work and that it is workers who bear the brunt of poor health and safety practices. Ensuring that work is safe, and workers come home healthy is a critical component of union work. So too is ensuring that workers have agency in the design and operation of their work.
Key to the operation of any union is the concept that it represents workers collectively, it reflects the diversity of its membership and provides members with a voice. This enables many workers to speak up, knowing they can do so without fear of reprisal. health
Effectiveness of Combined Application of Shock Index and Early Warning Scoring System in Patients with Acute Gastrointestinal Hemorrhage
Authors: Chen Dalei
Published: August 2024

Objective: To explore the effect of the combined application of the Shock Index (SI) and the Early Warning Score (EWS) in patients with acute gastrointestinal bleeding. Methods: Seventy patients with acute gastrointestinal bleeding admitted to a hospital from June 2022 to May 2024 were selected and randomly divided into two groups: the control group and the observation group, with 35 patients in each group. The control group received conventional emergency care measures, while the observation group received SI combined with NEWS emergency care measures. The treatment effects in both groups were compared. Results: The observation group had shorter waiting times for consultation (4.45 ± 1.59 minutes), intravenous access establishment (6.79 ± 2.52 minutes), hemostasis time (4.41 ± 1.52 hours), and hospital stays (8.39 ± 2.13 days) compared to the control group, which had times of 5.46 ± 1.34 minutes, 8.41 ± 2.16 minutes, 5.16 ± 1.47 hours, and 10.26 ± 2.98 days, respectively. The differences were statistically significant (P < 0.05). Before management, there were no significant differences in the levels of hemoglobin, prealbumin, and serum protein between the two groups (P > 0.05). However, after systematic emergency management, the serum indexes in both groups significantly improved, with the observation group showing greater improvement than the control group, and these differences were statistically significant (P < 0.05). In the observation group, only one case of cardiovascular complications occurred during the rescue period, with an incidence rate of 2.86%. In contrast, the control group experienced eight cases of complications, including hemorrhagic shock, anemia, multi-organ failure, cardiovascular complications, and gastrointestinal rebleeding, with an incidence rate of 22.85%. The difference between the groups was statistically significant (P < 0.05). Conclusion: The application of SI combined with EWS emergency care measures in patients with acute gastrointestinal hemorrhage can effectively improve serum indexes, shorten resuscitation time and hospital stay, and reduce the risk of complications such as hemorrhagic shock, anemia, infection, multi-organ failure, cardiovascular complications, acute renal failure, and gastrointestinal rebleeding. This approach has positive clinical application value.
Economic and Social Impact Assessment of Chronic Diseases Among the Low-Income Population in Southern Punjab, Pakistan
Authors: Khan Mehran , Nasir Muhammad Arbab , Umar Muhammad , Faiz Asadullah , Abdul Bari Mirza Muhammad , Saeed Ayesha , Khan Fiza Nazeer , Mehboob Saliha , Akashah Malik , Tayyab Usama
Published: August 2024

Introduction: Chronic diseases are becoming more prevalent worldwide. The effects of chronic illnesses are disastrous not only for the diagnosed person but also for their entire family. This study explores chronic diseases’ social and economic impact on low-income families. The study aims to determine the economic and social implications of various chronic diseases and the loss of income due to these conditions among low-income individuals in Southern Punjab, Pakistan. Methodology: A sample of 424 patients was selected from different areas of Southern Punjab. Data were collected using a questionnaire that included questions about economic status, self-reported health status, social status, management strategies, and health insurance, among other factors. Results: The mean monthly income of the respondents was found to be 57,097.6 Pakistani rupee (PKR), and the mean monthly expenses for treatment were 8,256.1 PKR. The loss of income was calculated at 15%. Additionally, 62% of patients spent more than 10% of their monthly income on managing their disease. Approximately 85% of the respondents reported that chronic diseases affected their social life. Furthermore, 80% of patients lacked health insurance. Conclusion: Chronic diseases impose significant economic and social burdens on patients and their families in Southern Punjab. To reduce the burden of chronic diseases, the government should enhance healthcare services in this region and provide health insurance to low-income families.
Information Security Awareness Analysis of the Threat of Data Leakage in Educational Institutions with the ISO 27001 Framework
Authors: Muhammad Rijal Demas , Assydiqi Mukhamad Fahmi , Prasetya Yoel Rensisko , Prasetya Ningsih Lidya Nurhapsari , Putri Anindra Nisya Kayla , Pambudi Pandu Dwi Luhur
Published: August 2024

In the rapidly evolving digital era, information security has become a major concern for various organizations, including educational institutions that are facing pressures such as "publish or perish" and performance metrics like VOS viewer. Serious threats such as cyber-attacks and data breaches require more advanced security solutions. Implementing an Information Security Management System (ISMS) based on ISO 27001 standards is crucial in safeguarding information assets. This research discusses the importance of information security awareness, identifies threats to data protection, and applies ISO 27001 standards in the context of educational institutions. The research methodology employs the PRISMA guideline to evaluate related reviews and meta-analyses systematically. Information security awareness, data protection, and ISO 27001 compliance focus on building a robust information security system within educational institutions facing performance and assessment demands.
Pengembangan Game Ular Tangga Aritmatika Berbasis Web
Authors: Solihin Aziz , Yamasari Yuni
Published: August 2024

Abstrak— Permainan telah meluas seiring perkembangan teknologi dan digitalisasi, baik dalam bentuk aplikasi mobile maupun berbasis web. Selain bertujuan sebagai hiburan, permainan juga dapat dikembangkan dengan tujuan edukasi, salah satunya permainan sebagai sarana belajar matematika. Permainan ular tangga sebagai salah satu permainan papan klasik dapat dikembangkan menjadi sebuah aplikasi permainan edukasi dengan cara dipadukan materi aritmatika dasar. Untuk itu, penelitian ini memfokuskan pada pengembangan sebuah permainan atau game berbentuk aplikasi web yang dipadukan dengan aritmatika dasar. Game ini dapat dimainkan melalui perangkat pribadi, baik di desktop maupun seluler. Pengembangan dilakukan dengan metode Game Development Life Cycle (GDLC) dengan harapan mampu menghadirkan permainan yang berkualitas. Proses pengembangan ini berdasarkan model GDLC, yaitu initiation, pre-production, production, testing, dan beta. Hasil penelitian ini memperlihatkan aplikasi game Ular Tangga Aritmatika berbasis web dapat dimainkan melalui browser pada perangkat pengguna secara baik yang didasarkan pada hasil pengujian internal.
Kata Kunci— permainan, ular tangga, aritmatika dasar, aplikasi web, GDLC
Implementasi Sistem Virtual Tour E-Panorama Sebagai Media Informasi dan Pengenalan Gedung Jurusan Teknik Informatika Universitas Negeri Surabaya
Authors: Raihan Muhammad Nadir , Eka Prismana I Gusti Lanang Putra
Published: August 2024

Perkembangan teknologi yang pesat telah menghasilkan berbagai inovasi, termasuk teknologi Virtual Tour. Teknologi ini memungkinkan transformasi objek lokasi menjadi gambar digital yang dapat diakses melalui perangkat komputer atau smartphone, dilengkapi dengan fitur motion control, line tracking, dan point tracking. Virtual Tour menyediakan simulasi tempat yang nyata, memungkinkan pengguna untuk menjelajahi tempat tersebut. Penelitian ini dilakukan dengan tujuan untuk merancang atau mengembangkan desain dan implementasi situs web menggunakan teknik Virtual Reality Panorama (VRP) untuk Gedung Jurusan Teknik Informatika Universitas Negeri Surabaya. Sebelumnya, informasi tentang gedung tersebut hanya dapat diperoleh dengan mengunjunginya secara fisik, yang terbukti tidak efisien dan mahal terutama bagi mereka yang berlokasi jauh. Melalui penggunaan teknologi Virtual Tour berbasis e-panorama, kami mencoba memperkenalkan Gedung Jurusan Teknik Informatika Universitas Negeri Surabaya kepada masyarakat luas dan calon mahasiswa. Website ini akan memberikan pandangan komprehensif tentang lingkungan dan ruang perkuliahan di Jurusan Teknik Informatika. Fitur hotspot digunakan untuk meningkatkan pengalaman interaktif dan immersif pengguna, memberikan sensasi seolah-olah mereka berada di tempat tersebut.
 
               Penelitian ini mengevaluasi penggunaan Virtual Tour berbasis E-Panorama sebagai media informasi dan pengenalan Gedung Jurusan Teknik Informatika Universitas Negeri Surabaya. Pengujian dilakukan melalui Usability Testing dengan skala Likert, menilai efisiensi dan keefektifan website Sistem Virtual Tour E-Panorama. Hasilnya menunjukkan kesimpulan positif, dengan gambar panorama yang dirangkai menjadi sistem menjelajahi gedung tersebut. Pengujian mencakup kelima aspek dari usability testing dan validitas data diuji menggunakan uji validitas dan reliabilitas. Temuan ini membuktikan keberhasilan implementasi metode gambar panorama sebagai alat pengenalan yang sangat baik dan efisien untuk Gedung Jurusan Teknik Informatika Universitas Negeri Surabaya.
 
Kata Kunci— Virtual Tour, E-panorama, Hotspot, Virtual Reality Panorama (VRP)
Membangun Search Engine “Caari” dengan Metode Term Frequency Invers Document Frequency (TF-IDF) dan Rekomendasi Simple Multi Attribute Rating Techique (SMART)
Authors: Rosalina Siti , Rochmawati Naim
Published: August 2024

Search engine merupakan sebuah website atau perangkat  lunak yang dibangun dengan tujuan membantu pengguna untuk mencari informasi di internet. Tidak semua search engine   memberikan hasil yang relevan sehingga pengguna tidak menemukan informasi secara cepat dan akurat. Kecenderungan pengguna mengklik hasil halaman pertama membuat perangkingan hasil dapat meningkatkan relevansi informasi yang diinginkan pengguna. Maka dari itu dibuatlah sebuah sebuah search engine  “Caari” dengan metode Term Frequency Inverse Document Frequency (TF-IDF)  dan rekomendasi Simple Multi Attribute Rating Technique (SMART) untuk meningkatkan relevansi hasil pencarian. Melalui User Acceptance Test (UAT) kepada 100 responden, sebanyak 85% responden berpendapat bahwa search engine dapat berjalan dengan baik. Selain itu berdasarkan hasil pengujian performa menggunakan GTMetrix diperoleh persentase sebesar 97%, Sehingga dapat disimpulkan bahwa search engine ini relevan dan layak untuk digunakan.
 
Kata Kunci— search engine, Term Frequency Inverse Document Frequency (TF-IDF), Simple Multi Attribute Rating Technique (SMART), relevan, performa.
Analisis Kinerja Dan Implementasi Load Balancing Menggunakan Metode PCC (Per Connection Classifier) Pada SMP Negeri 53 Surabaya
Authors: Fiqri Achmad Wasi'ul , Prapanca Aditya
Published: August 2024

Abstrak— Di era globalisasi saat ini, internet telah menjadi kebutuhan yang esensial untuk mendukung kehidupan sehari-hari dalam mencari berbagai informasi. Namun, untuk sepenuhnya merasakan manfaatnya, diperlukan kinerja jaringan internet yang handal. SMP Negeri 53 Surabaya memiliki layanan internet yang cukup mumpuni, tetapi internet yang sudah tersedia belum dimaksimalkan. Oleh karena itu, untuk memaksimalkan kinerja jaringan internet, perlu dilakukan implementasi load balancing menggunakan metode PCC (Per Connection Classifier). Penelitian ini menggunakan metode pengumpulan data seperti studi pustaka, observasi, dan studi literatur yang bertujuan untuk mengetahui kondisi lapangan yang sebenarnya serta menganalisis kebutuhan perangkat lunak maupun perangkat keras yang diperlukan dalam penerapan load balancing metode PCC.
Hasil pengujian menunjukkan bahwa implementasi load balancing menggunakan metode PCC (Per Connection Classifier) berjalan sangat baik dalam membagi jalur koneksi, dan jika ada pemutusan pada salah satu jalur interface, maka akan berpindah secara otomatis ke interface yang masih aktif tanpa adanya kendala. Analisis pada parameter Quality of Service (QoS) menunjukkan bahwa hasil rata-rata nilai yang didapat sebelum penerapan sistem load balancing metode PCC sudah bagus, dan setelah penerapan load balancing metode PCC mendapatkan hasil yang bagus juga sesuai standarisasi dari TIPHON. Namun, setelah diterapkan sistem load balancing menggunakan metode PCC (Per Connection Classifier), sistem menghasilkan nilai yang lebih dominan bagus dibandingkan sebelumnya.
 
Kata Kunci— Load Balancing, PCC, Quality of Service, TIPHON.
Sistem Pendukung Keputusan Kelayakan Penerima Beasiswa PPA Menggunakan Metode ROC dan MAUT Berbasis Website
Authors: Rohman Moch Fatichur , Sisephaputra Bonda
Published: August 2024

Abstrak— Permasalahan yang dihadapi dalam dunia pendidikan tinggi adalah bagaimana mengambil keputusan yang akurat dan efisien dalam pemilihan penerima beasiswa Program Peningkatan Prestasi Akademik (PPA). Kriteria penilaian yang relevan dan signifikan menjadi fokus utama dalam menghadapi permasalahan ini. Penentuan kriteria yang tidak tepat dapat mengakibatkan ketidakefisienan dalam seleksi penerima beasiswa, sementara pemilihan kriteria yang sesuai akan meningkatkan tingkat keadilan dalam alokasi dana beasiswa.
Mengembangkan sebuah sistem pendukung keputusan yang dapat diakses melalui internet dianggap sebagai solusi untuk masalah ini. Untuk mengevaluasi dan merangkai kelayakan penerima beasiswa PPA, sistem ini akan menggunakan metode Rank Order Centroid (ROC) dan Multi-Attribute Utility Theory (MAUT). Dengan demikian, komite seleksi beasiswa akan dapat dengan mudah menginputkan data mahasiswa, mengatur kriteria penilaian, dan menghasilkan peringkat kelayakan.
Tujuan dari penelitian ini untuk mengembangkan sebuah sistem pendukung keputusan berbasis website untuk seleksi calon penerima beasiswa PPA menggunakan metode Rank Order Centroid (ROC) dan Multi-Attribute Utility Theory (MAUT). Beasiswa PPA adalah program yang memberikan dukungan finansial kepada mahasiswa berprestasi.
Hasil penelitian ini menunjukkan bahwa kedua metode, yaitu Rank Order Centroid (ROC) dan Multi-Attribute Utility Theory (MAUT), telah berhasil digabungkan untuk menghasilkan kelayakan calon penerima beasiswa Program Peningkatan Prestasi Akademik (PPA). Proses penggabungan ini telah diuji melalui pengujian blackbox yang mencakup berbagai skenario. Penggabungan metode dilakukan dengan cermat, mempertimbangkan kekurangan dan kelebihan masing-masing metode, serta bobot kriteria yang telah ditentukan.
 
Kata Kunci— Sistem Pendukung Keputusan, Rank Order Centroid, Multi-Attribute Utility Theory, Beasiswa PPA.
Analisis Sentimen Mengenai Pasca Bencana Alam Menggunakan Metode K-Nearest Neighbor (K-NN) dan Decision Tree
Authors: Shahputri Vira Arum , Yamasari Yuni
Published: August 2024

Abstrak— Indonesia sering mengalami bencana alam seperti angin puting beliung, banjir, gempa bumi, letusan gunung berapi, tanah longsor, dan tsunami. Bencana alam kerap diberitakan di media sosial. Salah satu platform media sosial paling cepat menyebarkan informasi adalah twitter. Twitter memungkinkan orang untuk secara bebas mengutarakan pendapat dan pandangannya tentang peristiwa terkini atau masa lalu. Tujuan dari penelitian ini adalah menggunakan analisis sentimen untuk mengetahui kategori sentimen mana yang dihasilkan berdasarkan informasi pasca bencana alam. Bagaimana cara masyarakat menyampaikan pendapat, termasuk sikap empati, dengan mengutarakan pendapat positif atau negatif di media sosial. Tujuan selanjutnya adalah mengetahui perbandingan keakuratan metode K-NN dan Decision Tree dengan fitur tambahan seperti TF-IDF, N-Gram, dan gabungan TF-IDF N-Gram. Proses pengumpulan data dilakukan dengan menggunakan teknik crawling dengan jumlah data yang digunakan sebanyak 2400 data. Untuk proses pelabelan setelah proses preprocessing menggunakan proses labelling TextBlob dan VADER. Hasil penelitian ini menunjukkan bahwa kelas sentimen yang dihasilkan dari tahapan labelling TextBlob dan VADER merupakan kelas sentimen negatif.  Data labelling TextBlob mmemberikan nilai akurasi yang lebih baik dibandingkan labelling VADER. Sedangkan untuk hasil pengujian, metode K-NN dengan fitur unigram memiliki nilai accuracy tinggi sebesar 78,95%, precision 72%, recall 38,30%, dan f-1 score 50%. Sedangkan metode Decision Tree memiliki nilai akurasi yang lebih baik dibandingkan metode K-NN dengan tambahan fitur TF-IDF & gabungan TF-IDF Unigram yaitu sebesar 81,29%, precision 94,12%, recall 34,04%, dan f-1 score 50%.
 
Kata Kunci— Analisis Sentimen, N-Gram, TF-IDF, K-NN, Decision Tree.