bluuebunny/crossref_metadata_2025 huggingface dataset:
DODOL SICINI FORMULATION WITH EUCHEUMA COTTONII SEAWEED FORTIFICATION
Authors: Syamda A Virati , Putri Tri Widayati , Awaluddin Awaluddin
Published: May 2024

Dodol merupakan golongan pangan semi basah (Intermediate moisture food) yang memiliki citra manis, kenyal, sehingga langsung dimakan. Rumput laut akan bernilai ekonomis setelah mendapatkan penanganan yang lebih lanjut, seperti diolah menjadi dodol rumput laut. Penelitian ini bertujuan untuk mengetahui pengaruh fortifikasi rumput laut Eucheuma cottonii terhadap nilai nutrisi dodol Sicini dan mengetahui pengaruh fortifikasi rumput laut Eucheuma cottonii terhadap nilai hedonik dodol Sicini Di Kabupaten Gowa. Metode peneltian ini menggunakan experimental laboratories dengan tiga perlakuan dan tiga kali pengulangan. Data analisis menggunakan uji Anova. Hasil penelitian menunjukkan kadar air sampel A (27.81%), B (35.86%) dan C (36.86%). Kadar abu A (1.04%), B (1.40%), dan C (1.64%). Kadar protein A (3.44%), B (3.48%), dan C (3.58%). Kadar lemak sampel A (7.27%), B (9.26%) dan C (8.86%). Karbohidrat sampel A (56.60%), B (61.69%) dan C (66.02%). Serat kasar sampel A (1.61%), B (3.73%) dan C (6.32%). Hasil uji hedonik menunjukan rata kenampakan sampel A (7.50), B (6.80) dan C (6.20). Rata aroma menunjukan sampel A (7.27), B (6.70) dan C (5.40). Rata rasa menunjukan sampel A (7.50), B (7.10) dan C (5.70). Rata tekstur menunjukan sampel A (7.00), B (6.40) dan C (5.60). Kesimpulannya dodol rumput laut Eucheuma cottonii mempengaruhi mutu kimia dan hedonik.
Kata Kunci: Dodol, Rumput Laut Eucheuma cottonii, Uji Kimia, Hedonik
The Crucial Role of Carbohydrate Intake for Female Long-Distance Runners : A Literature Review
Authors: Illahi Reza Restu , Rasyid Willadi , Neldi Hendri , Padli Padli , Ockta Yovhandra , Cahyani Firunika Intan
Published: May 2024

This research is a literature study that aims to explore the relationship between carbohydrate consumption and athlete performance and health, especially female athletes who run long distances. This study uses the method of literature study or literature review using secondary data from scientific journal articles. Article searches are conducted through various platforms such as Google Scholar, EBSCO, ScienceDirect, and Proquest using keywords related to carbohydrate consumption in female long-distance runners. The inclusion criterion for articles is that they must be scientific journal research articles conducted in the UK with the main subject female athletes long-distance runners and the topic relates to carbohydrates. Articles that meet these criteria are then further analyzed Through an analysis of 8 scientific journal articles, it was concluded that carbohydrate intake has a crucial role in improving athletes' performance and endurance, as well as preventing the risk of low energy availability that can have a negative impact on health. In addition, research also highlights the need for adjustments in carbohydrate intake based on environment and stress to maximize athletes' training and recovery abilities. These findings affirm the importance of designing a balanced diet of carbohydrates and protein to achieve the desired results in improving athlete performance and supporting healthy weight loss. This study provides a deep understanding of the importance of carbohydrate intake in supporting the performance and health of female long-distance runners, and emphasizes the need for more inclusive research to develop better nutritional interventions.
Custom Implants and Beyond: The Biomedical Potential of Additive Manufacturing
Authors: Ashish Kumar Gupta , Amit Choudhari , Abhishek Kumar , Anamika Gupta
Published: May 2024

Additive manufacturing, commonly known as 3D printing, is revolutionizing the field of biomedical engineering by enabling the creation of custom implants tailored to individual patient anatomy. This technology uses digital design files to layer-by-layer build structures from various materials, including biocompatible metals, polymers, and ceramics. In medical applications, this precision allows for the creation of implants that closely match the contours and geometries of a patient’s unique anatomical features, offering improved fit, functionality, and comfort compared to traditional, mass-produced implants. The potential benefits extend beyond just enhanced patient outcomes. With additive manufacturing, healthcare providers can reduce surgical times by designing implants that require minimal intraoperative modification. Moreover, the flexibility of this technology facilitates rapid prototyping and iterative design, enabling healthcare professionals to collaborate with engineers in refining implant designs before they are used in surgery. This iterative approach is particularly useful in complex cases, such as craniofacial reconstruction, where conventional implants may not adequately address the intricacies of a patient’s skeletal structure.
Didimera tourism village development strategy in Timor Leste
Authors: Alberto Mascarenhas  , Ngatno Ngatno  , Reni Shinta Dewi
Published: May 2024

A tourism village is a rural area that has developed its natural, cultural or historical tourism potential to attract tourists. This research aims to understand community perceptions regarding the development of Didimera Tourism, Vessoru village, Uatolari sub-district, Viqueque District, Timor Leste, designing beach-based religious tourism designs, inventorying tourist facilities, involving stakeholders, and formulating tourism village development strategies. The data collection techniques used in this research are: documentation, observation, in-depth interviews, and Focus Group Discussion (FGD). Data analysis was carried out using the SWOT analysis method, which includes identifying strengths, weaknesses, opportunities and threats in the development of the Didimera Tourism Village. The research results show that the development of the Didimera Religious Tourism Village in Vessoru Village, Uatolari District, Viqueque District has great potential to improve the local economy, preserve culture and the environment, and provide a memorable tourism experience for visitors. Didimera tourism village development strategy based on local communities that is holistic and sustainable.
Implementing preventive healthcare strategies in early intervention
Authors: Feng-Chen Lin
Published: May 2024

In recent years, efforts to promote early intervention for children with developmental delays have been made to prevent further pathological invasion in children. Early rehabilitation through early screening not only enhances treatment effectiveness but also significantly reduces the pain and damage caused by diseases to families. In the concept of preventive healthcare strategies, it can be divided into three stages and five levels: (1) Primary prevention: can be divided into two levels, health promotion, and specific protection. (2) Secondary prevention: providing early treatment through early screening. (3) Tertiary prevention: mainly aimed at restoring the maximum function of disabilities caused by diseases, only causing minimal restrictions on personal function, and can be divided into two levels, limitation of disability, and rehabilitation treatment. In this article, besides exploring the causes of early childhood developmental disorders, the author combines preventive healthcare strategies to propose the differentiated application of early intervention in the three stages of preventive healthcare. This article reviews the current situation and challenges in Taiwan, and proposes possible responses based on scholars' views and personal opinions, aiming to enhance the quality of early intervention services provided by interdisciplinary teams.
Covid-19 in HIV-infected patients: A report of 14 cases experience of the infectious diseases department of the University Hospital Mohamed VI Marrakech - Faculty of Medicine and Pharmacy Marrakech
Authors: Rania El fargani  , Wiam Ait driss  , Hajar El fouar  , Malika Idalene  , Noura Tassi
Published: May 2024

Objective: Evaluation of clinical, biological, radiological characteristics, therapeutic management and outcome in patients with HIV / SARS-COV-2 co-infection. Materials and Methods: Descriptive retrospective study of 14 files of patients with HIV / SARS-COV-2 co-infection confirmed by SARS-COV-2 PCR between April 2020 and May 2022 in the infectious diseases department of the University Hospital Mohamed VI Marrakech Results: 14 patients were included, with a sex ratio M/F: 2.5. The mean age of our patients was 40.7 years. The clinical symptoms presented by our patients were: asthenia (71%); febrile pneumonia (64.20%); anosmia (46.6%); diarrhea (28.5%); and lower limb thrombophlebitis (7.14%). The HIV status was as follows: 9 new cases (64.2%), while HIV was already present in 5 patients (35.8%). On the radiological level, 10 patients had moderate damage (72%), 3 patients had mild damage (21%), while 1 patient had severe damage (7%). Our patients' treatment changed during the study period; in particular, one group of patients was treated with the national covid-19 therapeutic protocol, while others received molnupiravir. The outcome was overall good, with a clear clinical and biological improvement; and only 4 patients died. Conclusion: The predisposition to SARS-COV2 infection as well as the clinical presentation and evolution of Covid 19 in PLHIV do not differ from the general population.
Central Bank Digital Currency in an Emerging Market Economy: Case of the Central Bank of the Republic of Türkiye
Authors: Asfuroğlu Dila
Published: May 2024

Central banks have historically been using traditional channels for communication and physical money for transactions, fulfilling the needs of previous millennia, while the evolution of technology, electronic devices, and needs in transactions necessitate the use of modern communication channels, such as X (formerly known as Twitter), as well as modern payment systems, such as central bank digital currencies (CBDC). Hence, this paper aims to unfold where the Central Bank of the Republic of Türkiye (CBRT), as an example of emerging markets, stands in informing the public about CBDC. To this end, it conducts an event study on the official X account of CBRT in English over 10.2020-12.2022 by utilizing Nvivo. The findings of the quantitative analysis of the tweets show that CBRT does not regard X as a primary communication channel and mainly shares links to publications from the official websites in X. Also, CBRT tends to adopt a ‘cold-turkey’ informative approach about CBDC with the public rather than ‘gradualism’. Consequently, CBRT should rigorously design a communication strategy that fulfills the needs of the modern economy and start addressing CBDC to raise awareness if a quick transition to digital currency is targeted.
Turkish Adaptation and Psychometric Properties of Acceptance and Action Questionnaire for Weight-Related Difficulties-Revised
Authors: Keskindağ Buse , Güney Hüseyin , Karaaziz Meryem
Published: May 2024

The aim of this study was to adapt the revised Acceptance and Action Questionnaire for Weight-Related Difficulties-Revised (AAQW-R) into Turkish language and examine its psychometric properties in a nonoverweight sample. This cross-sectional study included predominantly female individuals (83.2%), and mean age of the sample was 21.5. Final sample size included 161 university students. AAQW-R was translated into Turkish and translated back into English. Internal consistency levels for the total AAQW-R score and its subscales (i.e., food as control, weight as barrier to living, and weight stigma) were obtained for reliability. Measures of general experiential avoidance (AAQ-II), body anxiety (SPAS), dysfunctional eating attitudes (EAT-26), anxiety symptoms (GAD-7) and subjective happiness (SHS) were examined for convergent and divergent validity. Confirmatory factor analysis was conducted to examine the factor structure of the scale. The three-factor structure model was a good fit to the data (χ2 [N = 161] = 81.27, p < .001, RMSEA = .098, 90% CI [.072, .124]). The Turkish version of AAQW-R and the subscales indicated a good level of internal consistency (α value ranging between .70 and .87). AAQW-R was found positively correlated with general experiential avoidance, dysfunctional eating attitudes and anxiety symptoms, indicating support for convergent validity. No relationship between AAQW-R and subjective happiness demonstrated evidence for divergent validity. Overall, the Turkish version of AAQW-R is valid and reliable tool to measure weight-related experiential avoidance in nonoverweight sample.
Pengaruh Jenis Warna Light Emitting Diode (LED) dan Konsentrasi Larutan Poc Daun Kelor Terhadap Pertumbuhan Serta Hasil Microgreen Pakcoy (Brassica chinensis L.)
Authors: Mahardhika Adam , Kustiani Edy , Hadiyanti Nugraheni , Rahardjo Tjatur Prijo
Published: May 2024

The rapid increase in population results in a transformation of agricultural land into residential areas. Household yards emerge as an option to sustain food security. Microgreens, vegetables harvested within the age range of 7-14 days after seeding, are the focal point of this study. The research aims to assess the impact of LED light colours and the concentration of liquid organic fertilizer (LOF) from moringa leaves on the growth and yield of pakchoi microgreens. The study is conducted at Jalan Sam Ratulangi No.39, Kota Kediri, East Java, from May 2022 to June 2022. A Randomized Complete Block Design (RCBD) Split Plot method is employed with two treatment factors replicated three times. The main treatment factor involves four LED light colours, and the research findings indicate a significant interaction between LED colours and the concentration of moringa leaf LOF concerning leaf quantity at 14 HST and leaf area. The best combinations were treatments L1S3 (blue light irradiation and 45 ml/litre concentration of moringa leaf LOF), L4S1 (yellow light irradiation and 15 ml/litre concentration of moringa leaf LOF), and L2S1 (red light irradiation and 15 ml/litre concentration of moringa leaf LOF). The application of moringa leaf LOF at 15 ml/litre separately also significantly affected the seed germination capability of pakchoi at 14 DAP. Additionally, LED irradiation showed significant differences in leaf quantity at 7 DAP and plant height at 7 HST.
 
Dampak dari pertumbuhan penduduk yang cepat menyebabkan perubahan fungsi lahan pertanian di area pemukiman. Sebagai upaya untuk memastikan ketahanan pangan, halaman rumah menjadi opsi yang dipilih. Penelitian ini berfokus pada microgreens, yaitu tanaman sayuran yang dipanen dalam rentang usia 7 hingga 14 hari setelah penanaman. Tujuan dari penelitian ini adalah untuk mengevaluasi pengaruh warna lampu LED dan konsentrasi larutan POC daun kelor terhadap pertumbuhan dan hasil microgreens pakcoy. Lokasi penelitian berada di Jalan Sam Ratulangi No. 39, Kota Kediri, Provinsi Jawa Timur, pada bulan Mei hingga Juni 2022. Metode yang digunakan adalah rancangan acak lengkap (RAL) split-plot dengan dua faktor perlakuan dan tiga ulangan. Faktor utama melibatkan empat warna LED, dan terdapat interaksi signifikan antara warna LED dan konsentrasi POC larutan daun kelor terhadap jumlah dan luas daun pada 14 HST. Kombinasi optimal melibatkan lampu biru dengan konsentrasi POC daun kelor sebesar 45ml/liter, lampu kuning dengan konsentrasi 15ml/liter, dan lampu merah dengan konsentrasi 15ml/liter. Perlakuan individu POC daun kelor sebanyak 15 ml/liter juga berpengaruh pada perkecambahan biji bok choy pada 14 HST. Di samping itu, pencahayaan LED menunjukkan perbedaan yang signifikan pada jumlah daun pada usia 7 HST dan tinggi tanaman pada usia 7 HST secara independen.
Kelayakan Usaha Ternak Burung Puyuh di Kecamatan Prambon Kabupaten Nganjuk
Authors: Ta’wim Akhris Asanit , Artini Widi , Andajani Wiwiek , Nina Lisanty
Published: May 2024

Prambon District in Nganjuk Regency, East Java, has shown its community's adaptation to the COVID-19 pandemic by switching to livestock businesses, significantly raising quail. With mostof the population initially working as farmers, the Work From Home (WFH) policy and Large-Scale Social Restrictions (PSBB) encouraged the Prambon community to choose livestock as an additional source of income. Research in Mojoagung Village involving 23 breeders showed that raising quail in Prambon has promising economic potential. Even though production costs reach IDR33,704,380 for 1000 quails, the net income from selling quail eggs reaches IDR77,220,620 during the production period. Additional income from selling quail meat and quail dung (fertilizer) reached IDR2,250,000 and IDR1,575,000 respectively. This livestock business is profitable and very worthy of development. Policy implications involve government support in the form of training, technical assistance, and market development to support local economic growth and diversification of livelihoods, making quail farming a sustainable option to improve the welfare of the Prambon community.
 
Kecamatan Prambon di Kabupaten Nganjuk, Jawa Timur, menunjukkan adaptasi masyarakatnya terhadap pandemi COVID-19 dengan beralih ke usaha peternakan, terutama beternak burung puyuh. Dengan mayoritas penduduk yang awalnya berprofesi sebagai petani, kebijakan Work From Home (WFH) dan Pembatasan Sosial Berskala Besar (PSBB) mendorong masyarakat Prambon untuk memilih usaha peternakan sebagai sumber pendapatan tambahan. Penelitian di Desa Mojoagung melibatkan 23 peternak menunjukkan bahwa beternak burung puyuh di Prambon memiliki potensi ekonomi yang menjanjikan. Meskipun biaya produksi mencapai Rp33.704.380 untuk 1000 ekor burung puyuh, pendapatan bersih dari penjualan telur puyuh mencapai Rp77.220.620 selama masa produksi. Pendapatan tambahan dari penjualan daging puyuh dan kotoran puyuh (pupuk) masing-masing mencapai Rp2.250.000 dan Rp1.575.000. Usaha ternak ini menguntungkan dan sangat layak untuk dikembangkan. Implikasi kebijakan melibatkan dukungan pemerintah dalam bentuk pelatihan, bantuan teknis, serta pengembangan pasar untuk mendukung pertumbuhan ekonomi lokal dan diversifikasi mata pencaharian, menjadikan beternak burung puyuh sebagai opsi yang berkelanjutan untuk meningkatkan kesejahteraan masyarakat Prambon.
Performance investigation of installed Pico-Hydro power using maximum power point tracking based on incremental conductance algorithm in solar water pumped storage system
Authors: Akhiriyanto Novan , Waskito A Wasis , Pratama Akbar , Satria P Radith
Published: May 2024

The Solar Water Pumped Storage System (SWPS) has been gaining popularity as an environmentally friendly and sustainable solution to address water supply challenges in areas with abundant solar radiation. The potential energy stored in SWPS is harnessed by converting it into electrical energy through the installed pico-hydro power (picoHP) within the SWPS distribution pipe system. PicoHP performance depended on the flow rate and water pressure, which could not be naturally controlled, leading to low reliability in picoHP generation. This research aimed to optimize picoHP performance through engineering changes in pipe diameter and voltage regulation using a SEPIC MPPT circuit based on the Incremental Conductance (INC) algorithm. The parameters affecting the voltage and current of the picoHP were the water level in the tank and the choice of pipe adapter type based on changes in pipe diameter. The SEPIC MPPT circuit with the INC algorithm began operating when the input voltage from the picoHP reached 7.56 V, resulting in an output voltage of 11.2 V with a duty cycle (D) = 25%. This indicated a delay in the operation of the SEPIC MPPT with the INC algorithm due to the computational process, which did not respond quickly when the input voltage from the picoHP started to decrease. The electrical energy generated by the picoHP through the SEPIC MPPT circuit successfully charged the battery through the BMS module.
Numerical Study On Characteristics Of The Backward-Facing Step Flow With Variations Of The Slope Angle Of The Step
Authors: Julian James , Anggara Rizki Aldi , Wahyuni Fitri
Published: May 2024

The phenomenon of flow separation plays a vital role in the industrial world. The backward-facing step (BFS) is a general form representing flow separation. This study investigates the influence of the slope angle of the step on BFS flow characteristics at various low Reynolds numbers. According to the CFD results, the flow separation phenomenon forms a circulation zone for each increase in Reynolds numbers. This phenomenon is a result of the sudden expansion of the channel geometry. The BFS with the slope angle of the step demonstrates that the increase in the recirculation zone can be minimized, thus appropriately delaying flow separation. The recirculation zone causes fluid flow to reverse direction, affecting fluid flow efficiency due to resulting pressure differences. Therefore, a BFS with the slope angle of the step exhibits a more efficient flow phenomenon by minimizing the recirculation zone.
Evaluation Of Category III Overhead Tools Inspection Rig X PT. BMS
Authors: Suranta Bambang Yudho , Rahman Muhammad Hafiz , Sofyan Akhmad
Published: May 2024

Overhead tool inspection is an important process in the oil and gas well drilling and maintenance industry. In harsh and hazardous environments, it is important to regularly monitor the physical condition and functionality of overhead tools. The use of overhead tools in the oil and gas industry has the advantage of lifting and moving heavy loads easily and safely. However, the use of heavy equipment also carries the risk of dangerous work accidents. The methodology in this research involves problem identification, literature review, research design, data collection, interpretation, analysis, and findings. The discussion emphasizes the meticulous inspection required for overhead tools, exemplified through the evaluation of traveling block, hook block, crown block, elevators, and elevator links. Each inspection, guided by API standards, ensures compliance, identifies potential hazards and prevents incidents in the inspection of overhead tools, various methods are used to ensure accurate inspection results and reduce the risk of failure during operation. This inspection involves techniques such as visual inspection and Non-Destructive Test (NDT) to test each overhead tools component which is guided by API SPEC 8A, API RP 8B and also API SPEC 8C. The main objective is to ensure that every aspect of the overhead tools has been carefully inspected and produces accurate inspection results. Thus, the risk of failure when inspecting overhead tools can be significantly reduced.The results indicate that the overhead tools inspected at PT. BSM meets API SPEC 8C standards. However, crucial findings, such as defects in crown block bearings and elevator safety pin issues, underscore the need for immediate attention. The conclusion emphasizes the importance of swift action to maintain safety and prevent further damage.
Physical and mechanical properties of fiberboard made from corn cob and coconut fiber with natural adhesives
Authors: Hasanah Moraida , Marlina Hilda Ayu , Zahar Intan , Kadir Abdul Azis
Published: May 2024

Developing fiberboard from agro-industrial and natural waste has a significant impact on environmental practices. Fiberboards made from corncobs and coconut fiber have become a desirable by-product that can serve as a wood substitute. This research aims to analyze the physical and mechanical properties of fiberboard composites created from coconut husks and corn cobs, using natural adhesives like tapioca glue and citric acid. Corn cob particles and coconut fruit fibers were weighed in a 1:1 ratio. Tapioca glue or citric acid was then added in varying percentages: 10%, 14%, 18%, 22%, and 26% of the total mixture. This blend was poured into molds, spread evenly with a spatula, and pressed under 30 kg/cm² (426.7 psi). Subsequently, the samples were carefully removed for physical and mechanical testing. The findings of the study indicated that the different mass variations of corncobs and coconut fibers mixed with natural adhesives successfully produced fiber composites that met the Japanese Industrial Standards (JIS) A 5095:2003 for the "hardboard" classification. The most effective composition was found in sample A5, which contained 26% tapioca glue. Tapioca glue proved to be the superior natural adhesive, surpassing citric acid. Tests conducted on fiberboard A5 revealed the highest density at 0.90 gr/cm³, the lowest porosity at 7.35%, optimal impact strength at 119.99 J/m², tensile strength of 730.50 MPa, and flexural strength of 109.34 MPa. Therefore, this fiberboard demonstrated favorable physical and mechanical properties.
Visual place recognition for autonomous mobile robot navigation using LoFTR and MAGSAC++
Authors: Aulia Udink , Hasanuddin Iskandar , Dirhamsyah Muhammad , Nasaruddin Nasaruddin
Published: May 2024

Autonomous mobile robots are defined as robotic entities capable of independent movement and intelligent decision-making, relying on their ability to perceive and analyze their surroundings, including objects in their environment. In Simultaneous Localization and Mapping (SLAM) systems, loop closure is often achieved through visual place recognition techniques, where the system compares the current visual input with previously observed scenes to identify matches. In computer vision applications, Speeded-Up Robust Features (SURF) and Scale-Invariant Feature Transform (SIFT) are popular feature extraction algorithms used for such as key point detection, matching, and image registration tasks. The choice of inlier threshold should be based on the specific characteristics of the application and the nature of the images being processed. It often requires experimentation and tuning to find the optimal balance between robustness and accuracy. It Utilizes the pre-trained Local Feature Transformer (LoFTR) and MAGSAC++ estimator to address these drawbacks by employing the number of inliers to determine the similarity between two images for visual place recognition. Our experiment demonstrates that the number of inliers can determine the similarity of locations between two images. Scale variations and translation in location significantly influence the resulting number of inliers. Comparing images from the same location and from different locations yields varying numbers of inliers. The number of inliers significantly influences the similarity of locations. At the same location, the number of inliers is above 150, while at different locations, the number is below 150.
Unraveling Workplace Bliss: The Mediating Influence of Flow Experience in the Relationship between Psychological Needs Satisfaction and Happiness at Work
Authors: Kawalya Charles , Gukiina Joshua
Published: May 2024

The purpose of this paper is to report on the results of a study that sought to establish the mediating role of flow experience in the relationship between psychological needs satisfaction and happiness at the workplace, specifically within the context of public hospitals in Uganda. A cross-sectional study was conducted, involving a sample of 800 professional nurses. Findings reveal that flow experience partially mediates in the connection between psychological needs satisfaction and workplace happiness. Limitations include; the use of a mono-research methodological approach, suggesting opportunities for future research through interviews to triangulate findings. By way of practical implications, the study explicates the psychological needs of the healthcare professionals examined and contributes to a more positive work environment and consequently, higher levels of workplace happiness. Keywords: psychological needs satisfaction, happiness at work, professional nurses, health services, flow experience, and positive emotions
Cloud Computing and Mobile Technologies as a Marketing Strategy towards Innovation and Business Growth among Small Tourism Enterprises
Authors: Chivandi Abigail , Mlilo Thembelani
Published: May 2024

This study examined the impact of Cloud Computing and Mobile Technologies as marketing strategy towards innovation, business growth among small tourism enterprises (STEs). Mobile commerce is viewed as next generation, e-commerce refers to any transactions, either direct or indirect, via mobile devices, such as phones or personal digital assistants (PDAs). Most significant features of mobile technology are mobility and portability. Ability to access services ubiquitously, on the move, through wireless networks, various devices. The study highlights business risk of being left behind and gives a contemporary research gap, how frequent businesses are engaging with mobile technologies and innovation marketing strategies. Positivist Paradigm- Targeted population were Southern African border countries players in STEs. Data analysis utilised SMARTPLS, Tested CFA, Model Fit, Reliability and Validity, Path Modelling and hypothesis. Raosoft calculator was used to calculate sample size. Calculation considered population of approximately 350 STEs officially registered with Southern Africa Tourism Services Association (SATSA), a 5% margin of error, 90% confidence interval & recommended 50% distribution, and returned a minimum sample size of 184 respondents. Findings revealed transactions can be business to business applications (targeted to other firms, business to consumer applications (targeted to final customers, e.g. advertisements based on SMS/ MMS) e- catalogues on what the small tourism enterprise offers and networking regionally and at global level. Keywords: cloud computing, innovation, mobile technology, tourism enterprise, marketing strategy, business growth
La disputa por lo fotográfico. Cruces de teorías hegemónicas
Authors: Pestarino Julieta
Published: May 2024

El presente artículo propone un recorrido crítico por ciertas teorías fotográficas hegemónicas y entabla un cruce entre autores que han desarrollado diálogos intertextuales con respuestas a inquietudes similares. Ordenados cronológicamente, en un primer momento se analizan trabajos surgidos durante la década del 80 que abordaron a la fotografía desde los estudios semióticos, a partir de la teoría del índex, en pos de búsquedas ontológicas del medio. Luego, una serie de autores que desde finales de los 90 rechazaron aquel análisis semiótico y propusieron abordajes teóricos específicos que reivindicaron las particularidades técnicas del medio. En tercer lugar, se retoman aportes que teorizan las complejidades del uso de la fotografía como testimonio documental y, por último, se presentan las herramientas de análisis propuestas por los estudios visuales a partir del nuevo milenio, las que permiten cuestionar y poner en jaque concepciones reduccionistas e instrumentales previas.
Un palimpsesto de neón. Espacio y tiempo en la serie fotográfica Microcentro de Pablo Ziccarello
Authors: Magnetto Vanesa
Published: May 2024

¿Qué formas urbanas proporciona la fotografía? ¿Cómo construye la temporalidad fotográfica el espacio sobre el que se detiene? En este artículo analizo cómo a partir del tiempo de la duración, ese tiempo que desborda y amplia el instante fotográfico, la serie Microcentro realizada por Pablo Ziccarello hacia fines del siglo XX y principios del XXI genera un espacio caótico que lleva al límite la velocidad y el ritmo de las ciudades modernas. En un juego temporal que despliega un uso “erróneo” del dispositivo, basado en el apilamiento de las fotografías, las imágenes de esta serie se incendian con lo real y arrojan algunos destellos del estallido político y social ocurrido hacia fines de 2001 en Argentina.
Explainable graph neural networks for EEG classification and seizure detection in epileptic patients
Authors: Mazurek Szymon , Blanco Rosmary , Falcó-Roget Joan , Crimi Alessandro
Published: May 2024

Electroencephalography (EEG) is currently the mostused way to accurately diagnose epilepsy given its ability tomeasure hypersinchronized periods of brain activity known asseizures. However, EEG recordings are noisy and require trainedpractitioners for meaningful information to be extracted. Mostimportantly, further post hoc analyses are inherently time-consuming and subjective. Recent advances in artificial intelli-gence have paved the way to develop automated workflows easingthe task of preprocessing and detecting epileptic activity fromEEG. Yet, these models are ubiquitously difficult to interpretthus posing a challenge for its wide acceptance in clinicalscenarios. Here, we propose a graph neural network enhancedwith attention layers able to accurately and robustly identifypathological brain activity. We provide both feature and graphexplanations for each prediction of the trained model. Crucially,we show how graph neural networks capture non-trivial depen-dencies between cortical regions that agree with the currentclinical consensus. Altogether, these results highlight the factthat explainable artificial intelligence need not compromise itsperformance and represents an improvement in the applicabilityof artificial intelligence networks in clinical practice.
Prefrontal cortex activation and functional connectivity during human male orgasm measured with fNIRS
Authors: Guevara Edgar
Published: May 2024

Background: Understanding of brain activity during orgasm has been limited to hospital-based neuroimaging modalities; this study leverages functional near-infrared spectroscopy (fNIRS) technology to directly observe prefrontal cortex (PFC) responses and functional connectivity (FC) in an ecologically valid setting.Aim: Our aim was to perform the first fNIRS single-subject pilot study to investigate the ability of fNIRS to detect PFC activation during human male orgasm.Methods: The participant viewed a pornographic clip and commenced genital self-stimulation ad libitum. Hemodynamic changes were measured fNIRS bilaterally over the prefrontal cortex before the beginning of visual stimulation and after orgasm. Dynamic FC, heart rate, and relative changes in oxyhemoglobin (HbO) were computed over the whole duration of the experiment.Outcome: Dynamic FC, relative changes in HbO, and pulse rate were all derived from fNIRS recordings.Results: Visual stimulation increased HbO over the left prefrontal cortex and pulse rate with no changes in dynamic FC. Manual self-stimulation also increased pulse rate and decreased mean FC without any changes in HbO. Orgasm increased pulse rate, HbO, and decreased FC bilaterally.Clinical Implications: This study offers insights into prefrontal cortex activation and FC during male orgasm.Strengths & Limitations: The main strength of this study is its novelty, while its main limitation is that it is a pilot study from a single subject.Conclusion: Bilateral activations and decreased dynamic FC accompany male orgasm.
Actions for decolonizing higher education in the UK: a systematic narrative review of empirical studies
Authors: Hosseini Donnesh Dustin
Published: May 2024

This systematic narrative review takes inspiration from a ‘integrative comparative literature review’ (Shahjahan et al., 2022, p. 75) that examined global decolonizing higher education. The authors of that paper call on researchers to examine research on practices across the disciplines by transcending these. I heed their call in this systematic narrative review by focusing this research on the UK higher education context to understand practical actions for undertaking decolonizing higher education. I approach the literature using a decolonial lens to justify the research before presenting the research questions and subsequent search strategies used before moving on to an analysis of the results. The methodology for this paper reflects my stance with respect to decolonizing education in that I set out my positionality as a researcher and recognize my inherently connected role in the research process. The key themes arising from a thematic analysis highlight the importance of 1) understanding decolonization as a concept, 2) views and actions arising from the empirical studies reviewed and 3) the barriers and challenges that academics face when undertaking projects related to decolonizing the curriculum within the UK HE context. In brief, this systematic narrative review contributes to the research by looking at how colleagues at different higher education institutions conceptualize and implement (more) decolonial practices while providing scope for further development of practice and research in this area.
Using LLMs to label medical papers according to the CIViC evidence model
Authors: Hisch Markus , Wang Xing David
Published: May 2024

We introduce the sequence classification problem CIViC Evidence to the field of medical NLP. CIViC Evidence denotes the multi-label classification problem of assigning labels of clinical evidence to abstracts of scientific papers which have examined various combinations of genomic variants, cancer types, and treatment approaches. We approach CIViC Evidence using different language models: We fine-tune pretrained checkpoints of BERT and RoBERTa on the CIViC Evidence dataset and challenge their per- formance with models of the same architecture which have been pretrained on domain-specific text. In this context, we find that BiomedBERT and BioLinkBERT can outperform BERT on CIViC Evidence (+0.8% and +0.9% absolute improvement in class-support weighted F1 score). All transformer-based models show a clear performance edge when compared to a logistic regression trained on bigram tf-idf scores (+1.5 – 2.7% improved F1 score). We compare the aforementioned BERT-like models to OpenAI’s GPT-4 in a few-shot set- ting (on a small subset of our original test dataset), demonstrating that, without additional prompt-engineering or fine-tuning, GPT-4 per- forms worse on CIViC Evidence than our six fine-tuned models (66.1% weighted F1 score compared to 71.8% for the best fine-tuned model). However, performance gets reasonably close to the benchmark of a logistic regression model trained on bigram tf-idf scores (67.7% weighted F1 score).
Indonesian Petroleum Industry and Development: A Centennial Survey and Future Prospects
Authors: Syeirazi Muhammad Kholid , Prasojo Eko , Muslim Muh Aziz
Published: May 2024

The contribution of oil and gas to development is a classic debate among scholars. Some believe that oil and gas are positively related to development, while others believe the opposite. This study examines the contribution of oil and gas to development in Indonesia. Historical analysis of long-term data series, extracted from statistical documents since the colonial era, shows a positive relationship between oil and development in Indonesia. Although its contribution fluctuates, oil and gas have contributed to growth and welfare. However, the future of Indonesia’s oil and gas industry is at stake. Declining reserves and production and shrinking upstream investment due to declining competitiveness amid the green energy transition agenda threaten the sustainability of Indonesia’s oil and gas industry in the future.
Intellectual Property Commercialization in the Creative Industry: An Integrative Literature Review
Authors: Mawardwita Reswari , Nasution Reza Ashari
Published: May 2024

This study aims to develop a comprehensive understanding of intellectual property (IP) commercialization in the creative industry, highlighting its essential role in the growth of the sector. 16 relevant articles were analyzed, resulting in the development of a four-phase model of IP commercialization: ideation, development, creation, and commercialization. These phases are combined with the concept of creativity-based innovation specific to the creative industry to form an integrative framework. Each phase emphasizes the interaction between divergent thinking and sequential processes in the commercialization journey while highlighting the central role of creativity at each stage. The findings of this study contribute to the academic discourse and provide practical guidance for practitioners, policymakers, and stakeholders in developing IP commercialization strategies in the creative industry.
Ideological differences in moral judgments: The case of acceptance of collateral civilian killings in war
Authors: Elad-Strenger Julia , Statman Daniel , Kessler Thomas
Published: May 2024

Public sentiment on collateral civilian killings during wartime may crucially impact critical governmental decisions and the trajectory of the conflict itself. Our research is the first to systematically explore the role of political orientation in shaping citizens' acceptance of collateral civilian killings across diverse war scenarios, and the potential mechanisms underlying these ideological differences. Across six studies in Israel and the US, findings indicate that conservatives/rightists consistently show higher acceptance of collateral civilian killings, regardless of whether the civilians killed are members of a current rival group or a strategic partner, whether the war involves real-life or fictitious groups, and whether participants are members of the group conducting collateral killings or mere observers. These ideological differences were explained by conservatives'/rightists' lower endorsement of individualizing moral foundations, but not by their higher endorsement of binding moral foundations. Finally, perceived ideological ingroup norms played an indirect role in shaping these ideological differences.
Application of String Vector based K Nearest Neighbor to Semantic Word Classification
Authors: Jo Taeho
Published: May 2024

This article proposes the modified KNN (K Nearest Neighbor) algorithm which receives a string vector as its input data and is applied to the word categorization. The results from applying the string vector based algorithms to the text categorizations were successful in previous works and synergy effect between the text categorization and the word categorization is expected by combiningthem with each other; the two facts become motivations for this research. In this research, we define the operation on string vectors called semantic similarity, modify the KNN algorithm by replacing the exiting similarity metric by the proposed one, and apply it to the word categorization. The proposed KNN is empirically validated as the better approach in categorizing words in newsarticles and opinions. We need to define and characterize mathematically more operations on string vectors for modifying more advanced machine learning algorithms.
Transforming Online Learning Research: Leveraging GPT Large Language Models for Automated Content Analysis of Cognitive Presence
Authors: Castellanos-Reyes Daniela , Olesova Larisa , Sadaf Ayesha
Published: May 2024

The last two decades of online learning research vastly flourished by examining discussion board text data through content analysis based on constructs like cognitive presence (CP) with the Practical Inquiry Model (PIM). The PIM sets a footprint for how cognitive development unfolds in collaborative inquiry in online learning experiences. Ironically, content analysis is a resource-intensive endeavor in terms of time and expertise, making researchers look for ways to automate text classification through ensemble machine-learning algorithms. We leveraged large language models (LLMs) through OpenAI’s Generative Pre-Trained Transformer (GPT) models to automate the content analysis of students’ text data based on PIM indicators and assess the reliability and efficiency of automated content analysis compared to human analysis. Using the seven steps of the Large Language Model Content Analysis approach, we proposed an AI-adapted CP codebook leveraging prompt engineering techniques (i.e., role, chain-of-thought, one-shot, few-shot) for the automated content analysis of CP. We found that a fine-tuned model with a one-shot prompt achieved moderate interrater reliability with researchers. The models were more reliable when classifying students’ discussion board text in the Integration phase of the PIM. A cost comparison showed an obvious cost advantage of LACA approaches in online learning research in terms of efficiency. Nevertheless, practitioners still need considerable data literacy skills to deploy LACA at a scale. We offer theoretical suggestions for simplifying the CP codebook and improving the IRR with LLM. Implications for practice are discussed, and future research that includes instructional advice is recommended.
The Intimate and Sexual Costs of Emotional Labor: The Development of the Women’s Sexual Emotional Labor Assessment
Authors: Oschatz Tanja , Piemonte Jennifer L , Klein Verena
Published: May 2024

Emotional labor, the act of suppressing or altering one’s feelings to enhance another person’s well-being, is predominantly performed by women, especially within intimate relationships. Despite its impact on well-being, research on its role in sexuality remains limited. We developed the Women’s Sexual Emotional Labor Assessment (WOSELA), a comprehensive 12-item scale based on themes identified by past qualitative studies. To ensure its reliability and validity, we conducted three studies with women partnered with men, as well as heterosexual single women from the UK and the US (N = 831). Drawing on exploratory factor analysis in Study 1, four subscales were identified: faking orgasm, performing desire, tolerating discomfort or pain, and partner-referenced sexual satisfaction. Confirmatory factor analyses in Study 2 (pre-registered) provided support for the WOSELA in its current form. In Study 3 (pre-registered), we demonstrated the validity of the WOSELA by establishing significant negative correlations with sexual agency, sexual communication, and sexual pleasure. Our results further show that the WOSELA is unrelated to positive-partner oriented sexual responsiveness. The WOSELA offers a unique tool to explore the role of emotional labor in sustaining the pleasure gap, as well as in broader power dynamics within intimate relationships and its impacts on women’s well-being.
The role of emotional content in segmenting naturalistic videos into events
Authors: Chen Ruiyi , Swallow Khena M.
Published: May 2024

The human mind automatically divides continuous experience into meaningful events (event segmentation). Despite abundant evidence that some kinds of situation changes (e.g., action, goal, or location changes) contribute to event segmentation, a component of experience that is critical for understanding and predicting others’ behavior, emotion, is rarely investigated. In two experiments, we sought to establish that viewers can track emotion changes while viewing naturalistic videos, and that these changes contribute to event segmentation. Participants watched commercial film excerpts while identifying either emotion changes or event boundaries (moments that separate two events) of different grains (Experiment 1: neutral-grain; Experiment 2: fine-grain or coarse-grain). We found that participants agreed with each other about when emotion changes occurred in the videos, demonstrating that viewers are able to track changes in the emotional content of dynamic naturalistic videos as they are experienced. Moreover, the emotion changes participants identified were temporally aligned with the event boundaries identified by other groups. In addition, valence and arousal ratings from separate groups of participants uniquely predicted the likelihood of identifying emotion changes and event boundaries, even after accounting for other types of change. However, emotion changes were more strongly tied to valence changes than arousal changes while coarse boundaries were more strongly associated with affective changes than were fine boundaries. These novel findings suggest that emotional information plays a substantial role in structuring ongoing experiences into meaningful events, providing a stronger basis for understanding how emotion shapes the perception and memory of everyday experiences.