bluuebunny/crossref_metadata_2025 huggingface dataset:
Synergist effects of some PGPR bacteria and sodium nitroprusside in pepper plant
Authors: Kayaaslan Zeliha , Aras Servet , Aydöner Çoban Gökçe
Published: December 2024

Plant growth promoting rhizobacteria (PGPR) represent promotes plant growth by increasing the supply or availability of nutrients to the host plant. These bacterial applications are environmentally friendly techniques and their use has become widespread recently. Some PGPRs can increase nitrogen (N) fixation and have phosphate (P) solubilizing property. In the current study, we evaluated the synergistic effects of some useful bacteria and sodium nitroprusside (SNP, a nitric oxide donor) in pepper plant. Nitric oxide (NO) acts as a signal molecule in plants and has important role in plant-bacteria symbiosis interaction. Three PGPR strains namely, Enterobacter cloacae (ZE-2), Pseudomonas putida (ZE-12) and Acinetobacter calcoaceticus (ZE-13) were used and the bacteria possess phosphorous-solubilizing and nitrogen-fixing properties. The applications of PGPRs alone and with combination of SNP (0.1 mM) were performed to the plant rhizosphere (the roots) through irrigation two times with two weeks interval starting with seedling planting. End of the study, many morphological parameters including stem diameter, plant height and biomass were improved by all applications compared to control. Root:shoot dry weight ratio decreased by the applications. Stem diameter, plant height and biomass were significantly increased with all treatments compared to control. The yield was found higher in all applications compared to control and the highest increase in the yield was provided by Enterobacter cloacae (ZE-2) application. Dry matter allocation in upper part of the plants provided higher plant yield. The applications significantly affected cell expansion and division. SNP increased the effect of Acinetobacter calcoaceticus (ZE-13) bacteria on cell division in leaf cells and midrib size. Furthermore, Pseudomonas putida (ZE-12) increased the yield combining with SNP compared to alone use. The increase in the plant growth is related with the midrib size. The application of PGPR with SNP could be a promising approach in plant growing.
Tanulási kompetencia
Authors: Józsa Krisztián , Józsa Gabriella , Amukune Stephen
Published: December 2024

A nemzetközi szakirodalomban az utóbbi évtizedekben egyre erőteljesebben van jelen a tanulási kompetencia fogalma (approaches to learning; ATL), ami azokat az összetevőket foglalja magában, amelyek a gyermek tanulását segítő kognitív és affektív tényezőkre utalnak. Kutatások sokasága igazolta, hogy az ATL-nek meghatározó jelentősége van a gyermekek fejlődésében. Bár Magyarországon is számos kezdeményezés, kutatás, fejlesztés foglalkozik az iskolai teljesítményt befolyásoló tényezőkkel, az ATL fogalma és jelentősége még kevéssé ismert. Ezért tanulmányunkban áttekintjük a tanulási kompetencia elméleti megközelítéseit és összetevőit. Bemutatjuk azokat a vizsgálati eljárásokat, melyeket a tanulási kompetencia mérésére, feltérképezésére alkalmaznak.
Krízisben. Az elmúlt 10 év történéseinek hatása a gyermekek mentális egészségére
Authors: F. Lassú Zsuzsa
Published: December 2024

A gyermekkori jóllét kérdése a gyermekkorral foglalkozó kutatások egyre növekvő számának fókuszpontja. Jelen tanulmányban a jóllét fogalmának tisztázása után áttekintjük a bennünket leginkább érdeklő tényező, a mentális egészség tudományosan igazolt összetevőit és ezekkel összefüggésben tárgyaljuk azokat a környezeti tényezőket, amelyek az elmúlt tíz évben leginkább befolyásolják azokat – a klímaválság, a járványok és a háborúk hatásait. A szakirodalmi áttekintésben törekszünk a jóllétet támogató hatásokat is hangsúlyozni, ugyanakkor nem eltagadni mindazokat a rizikótényezőket, amelyek az utóbbi évtizedben leginkább veszélyeztetik a gyermekek mentális egészségét.
Az alsó tagozatos diákok transzverzális készségeinek fejlesztését támogató digitális alkalmazások
Authors: Kulman Katalin , Lewandowska Elwira
Published: December 2024

A transzverzális készségek olyan tudományterületeken átívelő készségek, amelyekre szüksége van az embereknek a sikeres, teljes élethez. Ezek a készségek nem korlátozódnak egy adott területre, hanem általánosan alkalmazhatók, akár munkahelyi környezetben, akár személyes kapcsolatok terén, vagy akár különböző élethelyzetek kezelésében. Annak érdekében, hogy a diákok felnőttként használni tudják a transzverzális készségeiket, szükség van azok fejlesztésére már az iskolai oktatás során. Egy Erasmus+ projekt keretében arra a kérdésre kerestük a választ, hogy melyek azok a transzverzális készségek, amelyek érdemben fejleszthetők már alsó tagozatos gyerekek körében is. A projektben részt vevő hét partnerország pedagógusai körében (N = 322) végzett kérdőíves kutatásunk eredményeit felhasználva kiválasztottunk tíz készséget, amelyeket a megkérdezett pedagógusok fontosnak tartanak, ugyanakkor a fejlesztésükre nem helyeznek hangsúlyt. A kiválasztott tíz transzverzális készség fejlesztésének érdekében létrehoztunk három, egymással szoros kapcsolatban álló eszköztárat: egy digitálisjáték-alapú tanulási eszköztárat, egy online tanítás- és tanulástámogató eszköztárat és egy kommunikációs eszköztárat. Mindegyik eszköztárban egy készséghez egy olyan alkalmazás tartozik, amelynek használatával a készség fejleszthető alsó tagozatos diákok körében. Az eszköztárak kialakítása közben felhasználtuk azokat az adott alkalmazásra vonatkozó kutatási eredményeket, amelyek igazolták az alkalmazás használatának a konkrét készség fejlesztésére gyakorolt hatásait. Felhasználva a kutatás eredményeit és az elkészített eszköztárakat egy – a diákok transzverzális készségeinek fejlesztésében segítséget adó – pedagógus-továbbképzési anyag összeállítása, fejlesztése a projekt végső célja.
Kortárs angol-amerikai költők a korai angol nyelvi nevelésben
Authors: Palkóné Tabi Katalin
Published: December 2024

Az óvodákban alkalmazott korai angol nyelvfejlesztésnek mindig is alapvető elemei voltak a gyerekmondókák, gyerekversek, melyeknek kiválasztásához a gyakorló óvodapedagógusok olykor rendkívüli leleményességgel, máskor aggasztó kényelmességgel nyúlnak az Interneten található segédanyagokhoz, ahol jellemzően ömlesztve, minősítés nélkül jelennek meg az óvodásoknak szánt különféle, gyakran anonim irodalmi anyagok. Az anyagválasztásban legfőbb szempontjuk általában a megfelelő tematika és a szókincs egyszerűsége, ami felülírhatja az irodalmi minőség igényét. Az angol műköltészet, ezen belül a kortárs gyermekköltészet hiánya az óvodai tanítási gyakorlatban azért különösen szembeszökő, mivel a magyar óvodapedagógia méltán büszke az igényes kortárs magyar gyermekirodalom népszerűsítésére. Nem, mintha az idegennyelvi óvodapedagógus-képzésben ne találkoznának a pedagógusjelöltek igényes gyermekköltészettel. Személyes tanítási tapasztalatom és más, gyermekirodalmat tanító kollégám tapasztalata mellett ennek szakirodalmi bizonyítéka többek között az 1995-ben napvilágot látott szöveggyűjtemény Ujlakyné Szűcs Éva szerkesztésében a Kecskeméti Tanítóképző Főiskola számára: Children’s Literature Handbook, vagy az ELTE módszertani segédanyaga: A Task-Based Reader on Methodology and Children’s Literature, Kovács Judit és Trentinné Benkő Éva munkája (2003, különösen pp. 112–132). A tapasztalatok szerint a frissen végzett óvodapedagógusok munkájuk során szívesen alkalmazzák a főiskolán vagy egyetemen tanultakat (Trentinné Benkő et al., 2021). Épp ezért érdemes törekedni arra, hogy mi, pedagógusképzők folyamatosan megújítsuk az angol gyerekirodalmi tananyagot annak érdekében, hogy az internet kínálta mondókák, a klasszikus angol dajkarímek és kanonizált gyermekköltők versei mellett helyet kapjon a képzésben az angol nyelvű kortárs gyermekköltészet is, és így azok bekerüljenek az óvodába is. Megfelelő módszertannal és versválogatással elérhető, hogy az óvodásokra jellemző „kezdő nyelvi szint” ne zárja ki automatikusan a minőségi angol gyermekköltészet megismerését. Jelen írás egy folyamatban lévő kutatásból osztja meg hat kortárs angol-amerikai költő válogatott gyerekverseit módszertani ajánlásokkal.
Are Biological Systems More Intelligent Than Artificial Intelligence?
Authors: Bennett Michael Timothy
Published: December 2024

Are biological self-organising systems more `intelligent' than artificial intelligence? If so, why? We frame intelligence as adaptability, and explore this question using a mathematical formalism of causal learning. We compare systems by how they delegate control, illustrating how this applies with examples of computational, biological, human organisational and economic systems. We formally show the scale-free, dynamic, bottom-up architecture of biological self-organisation allows for more efficient adaptation than the static top-down architecture typical of computers, because adaptation can take place at lower levels of abstraction. Artificial intelligence rests on a static, human-engineered `stack'. It only adapts at high levels of abstraction. To put it provocatively, a static computational stack is like an inflexible bureaucracy. Biology is more `intelligent' because it delegates adaptation down the stack. We call this multilayer-causal-learning. It inherits a flaw of biological systems. Cells become cancerous when isolated from the collective informational structure, reverting to primitive transcriptional behaviour. We show states analogous to cancer occur when collectives are too tightly constrained. To adapt to adverse conditions control should be delegated to the greatest extent, like the doctrine of mission-command. Our result shows how to design more robust systems and lays a mathematical foundation for future empirical research.
Neural Cryptographic Fingerprinting for Autonomous Ransomware Detection
Authors: McGarret Theodore , Lightbourne Fabian , Wetherington Celestine , Pemberwick Godfrey
Published: December 2024

This study introduces an innovative approach to ransomware detection, utilizing cryptographic fingerprinting to identify malicious encryption behaviors with unprecedented precision. The proposed framework leverages deep neural networks to analyze high-dimensional patterns extracted from cryptographic operations, enabling the differentiation between benign and ransomware-related activities. Experimental evaluations demonstrate its capability to achieve a detection accuracy exceeding 97\%, even under challenging conditions involving noisy and incomplete data. Comparative analysis highlights its superiority over traditional signature-based and heuristic methods, particularly in addressing advanced evasion tactics such as polymorphism and code obfuscation. The integration of convolutional and recurrent layers, coupled with attention mechanisms, ensures the system’s adaptability to diverse ransomware families and operational environments. Resource utilization metrics confirm its scalability and efficiency, making it suitable for deployment in enterprise and critical infrastructure networks. Latency analysis indicates rapid detection times, with an average response of 2.1 seconds, minimizing potential damage during ransomware incidents. The robustness of the framework under simulated real-world conditions validates its practicality for large-scale applications. By focusing on the cryptographic essence of ransomware, the framework addresses limitations in traditional detection systems and provides a scalable, autonomous solution to evolving cyber threats.
A Systematic Evaluation of Dutch Large Language Models’ Surprisal Estimates in Sentence, Paragraph, and Book Reading
Authors: Boeve Sam , Bogaerts Louisa
Published: December 2024

Studies using computational estimates of word predictability from neural language models have garnered strong evidence in favour of surprisal theory. Upon encountering a word, readers experience a processing difficulty that is a linear function of that word’s surprisal. Evidence for this effect has been established in the English language or using multilingual models to estimate surprisal across languages. At the same time, many language-specific models of unknown psychometric quality are made openly available. Here, we provide a systematic evaluation of the surprisal estimates of a collection of large language models, specifically designed for Dutch, examining how well they account for reading times. We compare their performance to a multilingual model (mGPT) and an N-gram model. Across three eye-tracking corpora, a Dutch model predicted reading times better than the multilingual model. Dutch large language models replicate the general inverse scaling trend observed for English, with the surprisal estimates of smaller models showing a better fit to reading times than those of the largest models, however, this effect depends partly on the corpus used to evaluate the model. Surprisingly, in contrast to the linear effect of surprisal on reading times observed in other corpora, for the GECO corpus a non-linear link fitted the data best. Overall, these results offer a psychometric leaderboard of Dutch large language models and challenge the notion of a ubiquitous linear effect of surprisal. The complete set of surprisal estimates derived from all neural language models across the three corpora, along with the code to extract the surprisal, is made publicly available (https://osf.io/wr4qf/).
TherapyTrainer: Using AI to train therapists in written exposure therapy
Authors: Stade Elizabeth Cameron , Eichstaedt johannes Christopher , Kaysen Debra , Salecha Aadesh , Greenberger Alanna , Singhvi Shreya , Stirman Shannon Wiltsey
Published: December 2024

Though evidence-based treatments are effective, existing dissemination efforts are expensive and difficult to scale. Novel solutions— especially those that offer active learning strategies, repeat skill practice and personalized feedback to therapists — are needed to fill this gap. To address this, we developed TherapyTrainer, which uses large language models (LLMs) to allow therapists to practice delivering written exposure therapy (WET) for PTSD to AI-Patients while receiving expert feedback from an AI-Consultant. Here present initial feasibility, acceptability, and usability data for TherapyTrainer gathered from therapists, supervisors, and WET experts across iterative rounds of development. In phase 1, we rapidly prototyped and developed TherapyTrainer in response to feedback from WET clinicians and experts (n = 4). In phase 2, mixed methods data from therapists who just completed a WET workshop (n = 14) indicated that the AI-Patient interactions felt realistic and increased therapists’ sense of being prepared to use WET with patients. In phase 3, therapists (n = 6) completed structured user testing interviews in order to identify key issues impacting usability for subsequent rounds of development. AI and large language models hold potential to provide ongoing support to therapists in a cost-effective and scalable manner in order to close the research-practice gap.
Beyond land surface temperature: identifying areas of daytime thermal discomfort in cities by combining remote sensing and field measurements.
Authors: Fahy Julie , Bachofen Christoph , Camponovo Reto , Gallinelli Peter , Schlaepfer Martin
Published: December 2024

Satellite images of land surface temperatures (LST) are commonly used to identify areas within cities most prone to diurnal thermal discomfort, but they may not reflect the experiences of pedestrians. Here, we developed predictive statistical models for Physiological Equivalent Temperature (PET), an indicator of thermal discomfort, with easily accessible spatial predictors. For this, we measured PET (n = 4472) along eight transects (range: 700-5000 meters) using a multi-sensor instrument in the urban fabric of Geneva, Switzerland during periods of summer heat. We parametrised generalised additive models (GAM) and linear mixed models (LMM) with six commonly available predictor variables solar energy, Local Climate Zone (LCZ), albedo, LST, Normalized Difference Moisture Index (NDMI) and canopy cover. We found that LST, alone, explained < 2% of observed variation in PET, whereas the GAM with all the 6 predictor variables had R2 = 0.43. LCZ and solar energy explained most of the variability of PET across the city. PET values were lower in the densely built city centre than in the peri-urban environment. LST is poorly correlated with air temperature and PET in urban settings, and thus should not be used alone to predict outdoor thermal discomfort.
Unequal educational outcomes for children with similar early childhood vocabulary but different socio-economic circumstances
Authors: Thornton Emma , Matthews Danielle , Patalay Praveetha , Bannard Colin
Published: December 2024

In a purely meritocratic society educational outcomes would reflect ability, and only ability. Vocabulary size is a common measure of cognitive ability that predicts educational outcomes but is confounded with socioeconomic circumstances (SEC). We ran preregistered analyses of the nationally-representative UK Millennium Cohort Study data (N=15,576), sharing all analysis code and data definitions to support follow-up and reproducibility. We show that age-5 vocabulary strongly predicted age-16 educational attainment even after adjusting for both SEC and caregiver vocabulary ability. However, the weight of evidence for the effect was lower than that for the effect of SEC. Further, larger vocabulary was most advantageous for those in middle SEC groups. This demonstrates the current limits of meritocracy in education attainment. It suggests that early language interventions are well founded but cannot by themselves be expected to counteract the effect of social inequality on life chances.
Echoing Calls for Justice-Based Treatment Approaches in the Field of Clinical Psychology
Authors: French Noah J , Wolfe Emma C. , Hurd Noelle M.
Published: December 2024

With this commentary on Pinciotti et al.’s article, “Justice-based treatment considerations for identity-related OCD,” we express our unequivocal and full-throated support for the integration of anti-racist, intersectional, and justice-based treatment approaches in the field of clinical psychology. We begin by applauding the authors for their innovative work. Though calls for centering equity and justice in our field have increased in recent years, there is still a vast chasm between desire for change and the tangible advancement of specific clinical practices. Pinciotti and colleagues thus provide an important service to the field in offering concrete examples of applying justice-based practices in the treatment of a specific clinical issue (identity-related OCD) as well as in their description of broader justice-based principles that hold relevance across treatment approaches. Pinciotti and colleagues masterfully demonstrate the application of these techniques and their incorporation into an evidence-based intervention. This can serve as an exemplar for providers who are eager to incorporate elements of justice-based treatment in their existing practice but may not know where to begin.
Extremism at the centre: Uncovering political diversity amongst midpoint responders on the left-right self-placement item
Authors: Clarke Edward John Roy , Eckerle Frank , Hill Stephen Robert , Kerr John R , Ling Mathew , Marques Mathew daCosta , Williams Matt N
Published: December 2024

A significant body of research has examined the relationships between political ideology and conspiracy beliefs. Conspiracy theories are often considered the province of “extremist” political positions. Intriguingly, however, several recent studies have demonstrated that people at the midpoint of the left-right self-placement item often displayed elevated conspiracy beliefs. The cause of this “midpoint bump” is unknown. Based on these observations, our research investigated the extent to which midpoint bumps exist in other domains. Using data from the Australian Election Study (N = 2179) and the American National Election Study (N = 8280), we conducted polynomial tests on the relationships between the left-right item and a range of social and political attitudes. We found W-shaped relationships primarily across attitudes towards the political system and immigrants. To explore the possibility that subgroups may hold anti-establishment and anti-immigrant attitudes that distinguish them from typically-moderate responders, we conducted Latent Profile Analyses on midpoint responders. In both samples, one profile represented an extreme response pattern relative to other profiles, consistent with populist attitudes. We discuss the implications of the left-right scale conflating political diversity at the midpoint for ideological measurement, as well as how it hinders understanding anti-establishment tendencies across the political spectrum.
Sensory Processing Sensitivity: theory, evidence and directions
Authors: Greven Corina , Trupp mackenzie D , Homberg Judith R. , Slagter Heleen
Published: December 2024

In recent years, scientific interest in sensory processing sensitivity (SPS), a personality trait that captures inter-individual differences in the processing, perception and response to both negative and positive stimuli, has grown exponentially. This review summarises the recent literature on SPS to discuss a number of central themes, including its assessment, relation to other personality traits, effects on cognition and mental health, and its (neuro)biological basis. We also identify existing knowledge gaps and capitalise on a general theory of brain function, predictive processing, to provide a novel mechanistic account of SPS. This account offers a unified explanation for the phenotypic consequences of enhanced sensory sensitivity and can serve as a guide for future research.
Analysis of Service Preferences for NTC and NCELL Among Students and Parents at Myanglung Campus, Tehrathum
Authors: Dahal Shiba Prasad
Published: December 2024

This study examines the usage patterns, preferences, and satisfaction levels of Nepal Telecom (NTC) and NCELL services among students and parents at Myanglung Campus, Tehrathum, Nepal. A mixed-methods approach was employed, utilizing both surveys and interviews to collect comprehensive data. A total of 176 participants were included in the study, comprising 88 students and 88 parents, selected through convenience sampling. Data were gathered using structured questionnaires and semi-structured interviews to explore mobile usage patterns, satisfaction levels, and factors influencing mobile operator choice. Quantitative data were analyzed using statistical methods, while qualitative data were examined for recurring themes. The results indicate distinct preferences between students and parents. Students exhibit a strong preference for data services and promotional offers, reflecting their digital lifestyle and need for constant connectivity. They are more critical of customer service, with many expressing neutral or dissatisfied sentiments. Conversely, parents prioritize network coverage and customer service, valuing reliable communication channels and traditional voice services. Parents generally report higher satisfaction levels, potentially due to their lower expectations regarding data speed and innovation. Both groups agree on the importance of network coverage and service quality, albeit with varying degrees of emphasis. This study contributes to the understanding of mobile telecommunications preferences in a rural and semi-urban context in Nepal, providing valuable insights for service providers and policymakers to improve telecommunications services and customer satisfaction.Keywords: NTC, NCELL, mobile telecommunications, service preference, students, parents, Myanglung Campus
Evaluating E-Learning Acceptance in Nepal: A Case Study of a Tribhuvan University Affiliated College
Authors: Baral Bibhor , Hansson Henrik , Larsson Ulf
Published: December 2024

In Nepal, Tribhuvan University (TU) introduced a blended e-learning approach by implementing MOODLE, a learning management system. There is a concern of acceptance of e-learning among the students as well as among teachers due to barriers on technological up-to-date, scarcity of resource and technology know-how. The study analysed the perceptions of teachers and students on this change using qualitative methodology, especially empirical phenomenology. The results showed that both teachers and students at sampled one of the TU affiliated colleges, are positive about the e-learning system, but students are more likely to accept it than teachers. Senior teachers from non-ICT backgrounds and part-time teachers were less supportive. The e-learning system was recognised for its benefits, including providing extended learning opportunities, reducing additional burdens, facilitating effective sharing of ideas and knowledge, and enabling new forms of interaction. However, challenges in Nepal, such as inconsistent electricity supply, limited user resources, slow internet connectivity, and insufficient technical support, may hinder its acceptance. Addressing these challenges is crucial for the successful implementation of e-learning in Nepal.
‘ओथेलो’ नाटकमा जातीय द्वन्द्व
Authors: वाग्ले महेन्द्र
Published: December 2024

विलियम शेक्सपियरले सत्रौँ शताब्दीका विषयलाई आफ्ना नाटकमा समेटेका छन् । जातीय द्वन्द्वको विषय त्यस समयको निकै महत्वपूर्ण विषय थियो । यस समयमा काला र सेता जातिका सम्बन्धमा निकै विषयमा मतभेद थिए । शेक्सपियरले उपनिवेशवादमा जातीय विषय नाटकमा समावेश गर्थे र जातीय विभेदलाई पनि नाटकको केन्द्रमा राख्थे । यसबाहेक शेक्सपियरले एलिजावेथकालीन समयमा देखिने व्यक्तिका मानसिक प्रभावहरूलाई पनि प्रभावकारी रूपमा प्रस्तुत गर्थे । तसर्थ उनको ओथलो नाटकमा पनि जातीय विषयले महत्व पाएको छ । उनले ओथलो नाटकमा जातीय विषयलाई नाटकीकृत गरी जातीय द्वन्द्व प्रस्तुत गरेका छन् । जातीय विषय वर्तमानमा सांस्कृतिक अध्ययनको विषय पनि हो र त्यसमा द्वन्द्वको विषय माक्र्सवादबाट प्रेरित सिद्धान्त हो । त्यसैले यसमा जातीय द्वन्द्वको सैद्धान्तिक आधारमा नाटकको विश्लेषण गरिएको छ । सामग्री सङ्कलनका लागि पुस्तकालयको प्रयोग गरिएको छ र छनौट गरिएको सामग्रीको अध्ययनबाट नाटकको विश्लेषण गरिएको छ । यसमा व्याख्या र विश्लेषणका आधारमा निष्कर्षमा पुगिने भएकाले लेख गुणात्मक प्रकृतिको रहेको छ । शेक्सपियरको ‘ओथेलो’ नाटकमा वर्तमानको जातीय द्वन्द्वको मुद्दासँग पनि सम्बन्धित बनाएर मूल्याङ्कन गर्न सकिने देखिन्छ । त्यसैले यो लेखले ‘ओथेलो’ नाटकमा प्रयुक्त जातीय द्वन्द्वको विषयको आधारभूत विचारको समस्यालाई विश्लेषण गरी उक्त नाटकमा जातीय द्वन्द्व रहेको नष्कर्ष प्रस्तुत गर्दछ ।
Peranan Pengalaman Kesesakan terhadap Stres Perjalanan pada Pekerja Pengguna KRL Commuter Line
Authors: Faisal Fathiyah Faiha , Salendu Alice
Published: December 2024

Kereta rel listrik (KRL) commuter line adalah salah satu alat transportasi umum yang paling banyak digunakan di perkotaan. Banyaknya pekerja di perkotaan menjadi salah satu alasan mengapa KRL commuter line diminati karena memiliki jam keberangkatan dan kedatangan yang pasti. Pengguna KRL commuter line kini semakin meningkat, sehingga terdapat peningkatan kesesakan. Dampak yang dapat dirasakan dari kesesakan adalah stres perjalanan (commuting stress). Stres perjalanan yang terjadi pada pekerja mempengaruhi kinerja mereka. Oleh karena itu, tujuan penelitian ini adalah untuk melihat apakah terdapat peranan persepsi kesesakan dan kepadatan terhadap stres perjalanan. Partisipan penelitian ini pekerja yang menggunakan KRL commuter line sehari-hari sebagai alat transportasi untuk pergi dan pulang kerja. Hasil penelitian menemukan bahwa terdapat peran antara persepsi kesesakan yang dialami pekerja penumpang KRL commuter line dengan stres perjalanan yang dirasakan. Namun, ketika dilihat dari sisi kepadatan tidak terdapat peranan yang signifikan terhadap stres perjalanan. Penelitian diharapkan dapat menjadi acuan bagi penelitian berikutnya.
Kata Kunci: Kepadatan, Kesesakan, KRL Commuter Line, Stres Perjalanan
Perbedaan Gaya Mengajar Berdasarkan Gender Dan Tingkat Pendidikan
Authors: Hasanuddin Hasanuddin , Siregar Erlina Sari
Published: December 2024

Tujuan penelitian ini untuk mengetahui perbedaan gaya mengajar guru berdasarkan jenis kelamin dan tingkat pendidikan guru. Metode yang digunakan metode kuantitatif komparasi dengan jumlah populasi dan sampel 810. Adapun teknik pangambilan sampel menggunakan teknik total sampling. Teknik analisis data yang digunakan teknik independent t-test. Berdasarkan hasil analisis dapat disimpulkan bahwa secara kesuluruh tidak terdapat perbedaan gaya mengajar guru berdasarkan gender dikarenakan mayoritas memiliki nilai sig > 0.050 yang artinya tidak terdapat perbedaan gaya mengajar antara guru laki-laki dan guru perempuan pada proses belajar. Selain itu, secara kesuluruh terdapat perbedaan gaya mengajar guru berdasarkan tingkat pendidikan dikarenakan memiliki nilai sig < 0.050. Secara keseluruhan artinya terdapat perbedaan gaya mengajar guru yang memiliki tingkat pendidikan S1 dengan guru yang memiliki tingkat pendidikan S2. Berdasarkan nilai mean, lebih tinggi nilai mean guru yang memiliki tingkat pendidikan S1 daripada guru yang memiliki tingkat pendidikan S2.
Pengaruh Self-Regulated Learning dan Prokrastinasi Akademik terhadap Kecemasan Akademik pada Mahasiswa
Authors: Khairun Imani Praditya , Rozi Fahrul
Published: December 2024

Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh prokrastinasi akademik dan self regulated learning terhadap kecemasan akademik pada mahasiswa berusia 20-25 tahun. Jumlah responden yang terlibat dalam penelitian yaitu sebanyak 205 partisipan. Penelitian ini menggunakan metode kuantitatif dengan teknik accidental sampling melalui google form. Alat ukur prokrastinasi akademik ( menggunakan Academic Procrastination Scale oleh McCloskey, (2011), alat ukur Self  Regulated Learning oleh Erdogan & Senemoglu (2016), Alat ukur Kecemasan Akademik menggunakan Academic Anxiety Scale oleh Cassady (2020). Proses Analisa data menggunakan software Jamovi versi 2.3 dan menggunakan metode analisis regresi linier berganda. Hasil uji hipotesis menunjukkan bahwa : 1. prokrastinasi akademik berpengaruh terhadap kecemasan akademik. 2. Self Regulated Learning berpengaruh terhadap kecemasan akademik. 3. Prokrastinasi akademik dan self regulated learning berpengaruh secara simultan terhadap kecemasan akademik sebesar 23% dengan nilai F 31.7 dan p value < 0,001. Oleh karena itu mahasiswa yang dapat mengoptimalkan strategi self regulated learning dapat membantu mengurangi prokrastinasi serta kecemasannya dalam hal akademik.
Obtaining informed consent from people with dyslexia
Authors: Jozipović Marija , Lenček Mirjana
Published: December 2024

Obtaining informed consent is a standard procedure in research practice. However, it is not sufficient, even if an individual chooses to participate voluntarily in research process, for the researchers to be able to claim that they have obtained informed consent. The consent must be of sufficiently ‘high quality’: it must not only be informed, but also valid, i.e., it must contain the following three elements: adequate information, voluntariness, and competence. Although preparing informed consent is a difficult process in general, it is particularly challenging when working with certain populations, such as clinical groups who have language and literacy difficulties, e.g., dyslexia. A lack of understanding of the basis and specific characteristics of this disorder can have negative effects on people with dyslexia (PwD) such as in the form of unwanted misunderstandings, psychological stress, negative effects on their learning processes, as well as unethical treatment in the research process. Studies have shown that PwD can be particularly vulnerable to research that might exploit, imply, or attribute unsafe practices to them and their difficulties, especially in connection with research recommendations that require written informed consent. Easy language refers to the language adaptation of a text to facilitate both reading and comprehension, particularly for PwD. Therefore, the use of the easy language guidelines for language adaptation and graphical adjustment is important when obtaining informed consent from PwD.
Long Short-Term Memory and Discrete Wavelet Transform based Univariate Stock Market Prediction Model
Authors: Jarrah Mutasem
Published: December 2024

Analyzing financial situations in the current scenario is difficult, as it requires understanding the quality and value of investments. This study predicted the movement of stock prices in the Saudi Arabian stock market (Tadawul) over a one-week period using a proposed integrated model of Long Short-Term Memory (LSTM), which combines LSTM, Discrete Wavelet Transform (DWT), and Autoregressive Integrated Moving Average (ARIMA). Historical closing prices of a group of four companies listed on Tadawul were used as input for the proposed LSTM model, which consists of memory units capable of storing long time periods. Once the LSTM model predicted the closing values of stocks in Tadawul, they were further analyzed using the ARIMA model. The prediction accuracy of the proposed LSTM model and the traditional ARIMA model were 97.54% and 96.29% respectively. Therefore, the proposed integrated model of LSTM is considered a useful tool for predicting stock market values. The results emphasize the significance of Deep Learning (DL) and leveraging multiple information sources in predicting stock prices.
Modeling Information Diffusion in Online Social Networks Using a Modified Firefly Algorithm
Authors: Alloush Amjad , Rebdawi Ghaida , Abou Trab Mohammad Saeed
Published: December 2024

The dynamics and patterns of information propagation on online social networks are complex and challenging to model and to predict. This study proposes a novel algorithm for simulating the spread of information on online social networks using a swarm-based approach. The algorithm is based on the firefly algorithm, which incorporates a new term called Vantablack to represent the non-spreader nodes in the network. The proposed algorithm is validated on three real-world datasets extracted from Kaggle.com, covering different topics and domains. The proposed algorithm outperforms other baseline methods in terms of accuracy and efficiency in predicting information diffusion.
Role of Dietary Nitrate for Human Health: A Narrative Review
Authors: Ferdina Ayunina Rizky , Setiawan Muhammad Irwan
Published: December 2024

There has been a perspective shift regarding the role of inorganic nitrate consumption in human health. It was once thought to be a potentially harmful food additive, but more research has been conducted on the potential health benefits of dietary nitrate. This narrative review aimed to summarize important findings about the role of dietary nitrate in human health. Literature search was performed through PubMed and Google Scholar on the topics of dietary inorganic nitrate. This brief review was then synthesized summarizing the current evidence concerning its dietary source, safety concern, metabolism, and some potential health benefits. There is no compelling evidence to support the concerns about the toxic effects of nitrate as a food preservative. Instead, it has been discovered that vegetables are the primary source of inorganic nitrate, which may provide a variety of health benefits via the nitrate-nitrite-nitric oxide pathway. Although the research is still in its early stages, nitrate and its derivatives have the potential to act as antibiofilm agents. Dietary nitrate can improve cardiovascular health as a result of its conversion to nitric oxide. Dietary nitrate has also been recommended as a sports supplement because it has been shown to improve athletic performance. Nitrate consumption may also be beneficial in the treatment of several other medical conditions, including Covid-19. Dietary nitrate can boost production of nitric oxide which is beneficial for health. All current findings regarding the benefits of naturally occurring nitrate substantiate the recommendation of daily vegetable consumption.
DECODING DIGITAL BUSINESS STRATEGIES: INSIGHTS FROM FIVE YEARS OF RESEARCH
Authors: Senfeng Zheng
Published: December 2024

The contemporary business environment is characterized by its dynamic nature, driven by rapid technological advancements, necessitating enterprises to adapt their operational frameworks continually to sustain competitiveness and relevance. Consequently, the formulation of a robust digital business strategy becomes imperative, serving as a strategic necessity to effectively navigate the intricacies of the digital era. Given the swift pace of digital metamorphosis and the accelerated proliferation of emerging technologies, notably artificial intelligence, a systematic examination of scholarly literature on digital business strategies is indispensable to discern current trends and inform decision-makers promptly. This investigation endeavors to delineate prominent research clusters and influential figures within the realm of digital business strategy, elucidate fundamental concepts underpinning digital business strategies, and thereby construct a comprehensive framework encapsulating the foundational principles of this domain. This study conducts a comprehensive bibliometric analysis of Web of Science publications pertaining to Digital Business Strategy within the Business and Management disciplines, focusing on works indexed over the preceding five years utilizing the Biblioshiny application. The findings underscore a burgeoning interest in this subject, a proliferation of research collaboration, and a significant internationalization of the research landscape. Noteworthy contributions emanating from countries such as China, the United Arab Emirates, Italy, Jordan, and the United Kingdom underscore the ascent of new frontrunners in the contemporary business arena and highlight the transformative influence of digital technologies in reshaping global business competitiveness. Central themes in contemporary research on digital business strategies include business implementation (performance), recognition of the innovative essence of changes and the imperative for innovation, the pivotal role of marketing, and opportunities for SMEs. Fundamentally, these inquiries are anchored in technology, innovation, impact assessment, and understanding the imperative for flexibility in management practices. The key components of a successful digital business strategy include a focus on innovation and management alongside considerations of performance and impact. Digital business strategies are intimately intertwined with digital technologies, marketing methodologies, social media platforms, business model innovations, and the optimization of supply chain operations. The insights gleaned from this research endeavor could serve to guide business decision-makers in navigating the intricacies of contemporary digital strategy formulation and offer valuable direction for future research inquiries within this domain
STRATEGIC MANAGEMENT AND ARTIFICIAL INTELLIGENCE AS TOOLS FOR EFFECTIVE ACTIVITY OF ENTERPRISES
Authors: Kuzminov Mykola
Published: December 2024

The article studies the problems of strategic management and artificial intelligence as instruments of effective activity of enterprises in Ukraine. It is proved that the modern business environment is characterized by dynamic changes, high level of competition and rapid development of technologies. In such circumstances, enterprises are faced with the need to improve strategic management to ensure the effectiveness of their activities and adapt to market challenges. It is considered that artificial intelligence becomes one of the key tools capable of providing a new level of control due to automation of processes.
The importance of strategic management and the introduction of artificial intelligence in ensuring the success of enterprises can not be overestimated. Today, effective implementation of enterprises and the further use of artificial intelligence and strategic management has significant potential for success both at the national and international levels. Scientific research suggests that the combination of artificial intelligence and strategic management of enterprises can be a tool for achieving more significant results in the implementation of plans, business management and other areas of activity. As for strategic management, the use of artificial intelligence actively affects the productivity of workers and the enterprise as a whole, and also increases efficiency among workers. It is also known that the use of artificial intelligence for strategic management eliminates repetitive roles and redundancy, and also effectively performs complex tasks. Given the range of challenges facing businesses both nationally and internationally, research has shown that strategic management can be used to overcome them. The problem lies in the insufficient development of theoretical and practical foundations for the use of artificial intelligence in strategic management, which complicates the effective integration of these tools into the activities of enterprises
FORMATION OF A BUSINESS MODEL OF ENTERPRISES IN THE PRO-CESS OF DIGITALIZATION OF THE COUNTRY
Authors: Gnatiuk Lyudmila
Published: December 2024

Modern enterprises are forced to adapt to the conditions of the global economy, which is characterized by high competition, a variety of products and services, as well as a reduction in the life cycle of goods. In the context of the digital economy, information technologies promote specialization and cooperation between companies from different regions, reduce transaction costs, provide easy access to international markets and contribute to the creation of new e-business models.
Modern companies operate in an unstable market environment and growing competition. One of the key problems in the development of the software market remains the violation of intellectual property rights, which causes significant losses in revenue. This necessitates the introduction of new methods of management and business organization, in particular, providing flexibility in the application of various types of business models, their continuous improvement and optimization.
In this context, the study of different types of business models and the specifics of their application in economic activity becomes especially relevant. The activities of modern economic entities in the domestic consumption markets of the country, their progressive development and stimulation to increase the efficiency of economic relations are significantly influenced by digitalization processes that actively cover all spheres of society. Digitalization in the economic system of enterprises significantly expands the possibilities of introducing new formats of organization and management, affecting the level of economic growth and competitiveness, provided high digital literacy of personnel.
The problem lies in the insufficient development of theoretical and practical foundations of digital transformations and business models focused on the use of information technology, opening up new opportunities for all sectors of the economy. The rapid development of information products and the introduction of Internet technologies have significantly strengthened the role of information technology in business. The development and application of these technologies has radically changed the world economy, creating new challenges for enterprises
Pemanfaatan E-Commerce Shopee Sebagai Strategi Pengembangan UMKM di Era Digital
Authors: Santoso Niki Agus , Redaputri Appin Purisky , Aprinisa Aprinisa , Rizkyna Shanaz
Published: December 2024

Di era digital, e-commerce telah menjadi salah satu pilar utama dalam pengembangan Usaha Mikro, Kecil, dan Menengah (UMKM). Penelitian ini membahas pemanfaatan e-commerce Shopee sebagai strategi pengembangan UMKM dalam menghadapi tantangan dan peluang di pasar digital. Melalui akses yang lebih luas, fitur-fitur promosi yang efektif, serta integrasi pembayaran dan logistik, Shopee memberikan solusi bagi UMKM untuk meningkatkan penjualan, mengurangi biaya operasional, dan memperluas jangkauan pasar. Namun, tantangan yang dihadapi seperti keterbatasan literasi digital, ketatnya persaingan, dan ketergantungan pada promosi perlu diatasi melalui peningkatan kapasitas digital dan inovasi produk. Studi ini menyimpulkan bahwa pemanfaatan Shopee secara optimal dapat mendorong pertumbuhan dan daya saing UMKM, memperluas akses pasar, dan berkontribusi pada perkembangan ekonomi digital Indonesia.
Overcoming the Crisis of Guidance and Counseling Teachers for Service Efficiency in Secondary Schools in Jayapura City
Authors: Saud Habel , Mataputun Yulius , Reba Yansen Alberth , Udam Mikhael , Karisma Sally Putri , Kamarea Listini Bestina , Saputra Andika Ari
Published: December 2024

This seminar aims to overcome the crisis of the shortage of guidance and counseling (BK) teachers in Jayapura City and improve the efficiency of counseling services in schools, especially with the increasing student ratio. Through this seminar, it is expected to create a deep understanding of the importance of efficient counseling services by optimizing collaboration between counseling teachers, subject teachers, parents, and related professionals. The method of conducting the seminar included lectures, discussions, and questions and answers, and went through three main stages: preparation, implementation, and evaluation. The targets of the activity were counseling teachers at junior high, high school, and vocational school levels in Jayapura City. From the results of the evaluation, which included five questions, an average score of 80% was obtained, indicating an increase in participants' understanding of the importance of technology utilization in counseling services and the need for cross-party collaboration to support the smooth and efficient counseling services in schools. This activity indicates that the seminar contributed positively to improving the professional competence of counseling teachers, as well as strengthening systematic support for counseling services in schools to effectively reach more students.
Pendampingan Hilirisasi dan Pemasaran Produk Jamur Tiram bagi Kelompok PKK Lembang Sa’dan Ulusalu
Authors: Haryati Berlian Zetikarya , Galla Ernytha A. , Kabanga Theresyam , Kombasaratu Elisabet , Ambaa Hendrik Rapa , Buntu Joantes Moes
Published: December 2024

Potensi budidaya  jamur tiram  yang  dilaksanakan  Kelompok  PKK  Lembang  Sa'dan Ulusalu, Kecamatan  Sa' dan,   Kabupaten Toraja  Utara, Sulawesi Selatan menjadi  salah  satu  faktor pendorong  pelaksanaan  hilirisasi  produk  jamur  tiram.  Karena  mengingat  besarnya panen, maka untuk menghindari busuknya jamur yang dipanen maka perlu pengolahan produk jamur. Keterbatasan pengetahuan dan keterampilan  dalam kegiatan hilirisasi produk jamur  dan teknik pemasarannya  karena lokasi mitra cukup jauh dari kota.  Solusi yang ditawarkan adalah memberikan pelatihan dan pendampingan hilirisasi produk jamur tiram dalam bentuk keripik jamur tiram dan pelatihan   dan  pendampingan   pemanfaatan   teknologi  media  sosial  untuk  kegiatan promosi   dan   pemasaran. Metode   yang   akan   dilakukan   adalah   sosialisasi   dan penyuluhan, pelatihan  dan pendampingan, monitoring  serta evaluasi kegiatan.