bluuebunny/crossref_metadata_2025_split huggingface dataset:
WITHDRAWN: Model of Dependence Between the Parameters of Surface Roughness and the Parameters of Form and Location During the Machining by Drills with the use of Artificial Neural Networks
Authors: Krivokapić Zdravko , Vučurević Radoslav , Dasic Predrag V. 
Published: October 2023

Abstract
This paper presents a model of dependence between the parameters of surface roughness and the parameters of cylindricity and eccentricity in drilling operation for the enhancing steel EN 42CrMo4, hardness 28 HRC, with twist drills DIN 338 made of high-speed steel EN HS6-5-2, with normal blade. By the developing models based on artificial neural networks and using experimental results, it is possible to analyse the quality of machining on the basis of parameters of a surface roughness.
WaterQualityPrediction of Ganga River usingTime-seriesModels
Authors: Lal Chunnu Lal Chunnu , Kumar Satender Kumar Satender 
Published: October 2023

Abstract
Life of Living organism have present on the earth depends on Water. Water Quality is also equally important as Water. Ganga river is fulfilling the needs of water of a large population of India. Being a citizen of India it’s our responsibility to keep the Ganga River neat & clean. A large number of governments funded base stations available for forecasting the Water Quality of ganga river. But there is a need of low-cost prediction techniques of water quality based on data available from these base stations. It can help the government to take the necessary decisions to cure the water quality of Ganga River & save the lives of many livings’ organism depends on Ganga River. Monitoring & forecasting of water quality of Ganga River is most important because ganga river is the main source of drinking water of a large population of India. In this paper two time series-based models such as Auto-Regressive Integrated Moving Average (ARIMA), Seasonal ARIMA (SARIMA) have been used to predict the water quality of Ganga River. The models are developed on water quality data available of 10 base stations on the Uttarakhand Pollution Control Board’s official website. Four water quality parameters-Temp, pH, DO, BOD data is used for models training & calculating WQI (Water Quality Index). The result of experiment shows that SARIMA model predict the water quality parameters as well as Water Quality Index (WQI) more accurately.
A SWOT (Strengths, Weaknesses, Opportunities, and Threats) Analysis of ChatGPT in the Medical Literature: Concise Review
Authors: Gödde Daniel , Nöhl Sophia , Wolf Carina , Rupert Yannick , Rimkus Lukas , Ehlers Jan , Breuckmann Frank , Sellmann Timur 
Published: October 2023

BackgroundChatGPT is a 175-billion-parameter natural language processing model that is already involved in scientific content and publications. Its influence ranges from providing quick access to information on medical topics, assisting in generating medical and scientific articles and papers, performing medical data analyses, and even interpreting complex data sets.ObjectiveThe future role of ChatGPT remains uncertain and a matter of debate already shortly after its release. This review aimed to analyze the role of ChatGPT in the medical literature during the first 3 months after its release.MethodsWe performed a concise review of literature published in PubMed from December 1, 2022, to March 31, 2023. To find all publications related to ChatGPT or considering ChatGPT, the search term was kept simple (“ChatGPT” in AllFields). All publications available as full text in German or English were included. All accessible publications were evaluated according to specifications by the author team (eg, impact factor, publication modus, article type, publication speed, and type of ChatGPT integration or content). The conclusions of the articles were used for later SWOT (strengths, weaknesses, opportunities, and threats) analysis. All data were analyzed on a descriptive basis.ResultsOf 178 studies in total, 160 met the inclusion criteria and were evaluated. The average impact factor was 4.423 (range 0-96.216), and the average publication speed was 16 (range 0-83) days. Among the articles, there were 77 editorials (48,1%), 43 essays (26.9%), 21 studies (13.1%), 6 reviews (3.8%), 6 case reports (3.8%), 6 news (3.8%), and 1 meta-analysis (0.6%). Of those, 54.4% (n=87) were published as open access, with 5% (n=8) provided on preprint servers. Over 400 quotes with information on strengths, weaknesses, opportunities, and threats were detected. By far, most (n=142, 34.8%) were related to weaknesses. ChatGPT excels in its ability to express ideas clearly and formulate general contexts comprehensibly. It performs so well that even experts in the field have difficulty identifying abstracts generated by ChatGPT. However, the time-limited scope and the need for corrections by experts were mentioned as weaknesses and threats of ChatGPT. Opportunities include assistance in formulating medical issues for nonnative English speakers, as well as the possibility of timely participation in the development of such artificial intelligence tools since it is in its early stages and can therefore still be influenced.ConclusionsArtificial intelligence tools such as ChatGPT are already part of the medical publishing landscape. Despite their apparent opportunities, policies and guidelines must be implemented to ensure benefits in education, clinical practice, and research and protect against threats such as scientific misconduct, plagiarism, and inaccuracy.
The Effect of Explicit Suicide Language in Engagement With a Suicide Prevention Search Page Help-Seeking Prompt: Nonrandomized Trial
Authors: Onie Sandersan , Armstrong Susanne Oliver , Josifovski Natasha , Berlinquette Patrick , Livingstone Nicola , Holland Sarah , Finemore Coco , Gale Nyree , Elder Emma , Laggis George , Heffernan Cassandra , Theobald Adam , Torok Michelle , Shand Fiona , Larsen Mark 
Published: October 2023

Background
Given that signage, messaging, and advertisements (ads) are the gateway to many interventions in suicide prevention, it is important that we understand what type of messaging works best for whom.

Objective
We investigated whether explicitly mentioning suicide increases engagement using internet ads by investigating engagement with campaigns with different categories of keywords searched, which may reflect different cognitive states.

Methods
We ran a 2-arm study Australia-wide, with or without ads featuring explicit suicide wording. We analyzed whether there were differences in engagement for campaigns with explicit and nonexplicit ads for low-risk (distressed but not explicitly suicidal), high-risk (explicitly suicidal), and help-seeking for suicide keywords.

Results
Our analyses revealed that having explicit wording has opposite effects, depending on the search terms used: explicit wording reduced the engagement rate for individuals searching for low-risk keywords but increased engagement for those using high-risk keywords.

Conclusions
The findings suggest that individuals who are aware of their suicidality respond better to campaigns that explicitly use the word “suicide.” We found that individuals who search for low-risk keywords also respond to explicit ads, suggesting that some individuals who are experiencing suicidality search for low-risk keywords.
Effectiveness of Technology-Based Interventions for School-Age Children With Attention-Deficit/Hyperactivity Disorder: Systematic Review and Meta-Analysis of Randomized Controlled Trials
Authors: Wong Ka Po , Qin Jing , Xie Yao Jie , Zhang Bohan 
Published: October 2023

Background
Attention-deficit/hyperactivity disorder (ADHD) is relatively common among school-age children. Technology-based interventions, such as computer-assisted training programs, neurofeedback training, and virtual reality, show promise in regulating the behaviors and cognitive functions of children with ADHD. An increasing number of randomized controlled trials have been conducted to evaluate the effectiveness of these technologies in improving the conditions of children with ADHD.

Objective
This study aims to conduct a systematic review of technological interventions for school-age children with ADHD and perform a meta-analysis of the outcomes of technology-based interventions.

Methods
A total of 19 randomized controlled studies involving 1843 participants were selected from a pool of 2404 articles across 7 electronic databases spanning from their inception to April 2022. ADHD behaviors, cognitive functions, learning ability, and quality of life were addressed in this study.

Results
Random effects meta-analyses found that children with ADHD receiving technology-based intervention showed small and significant effect sizes in computer-rated inattention (standardized mean difference [SMD] −0.35; P<.04), parent-rated overall executive function measured by the Behavior Rating Inventory of Executive Function (SMD −0.35; P<.04), parent-rated disruptive behavior disorder measured by the Child Behavior Checklist (SMD −0.50; P<.001) and Disruptive Behavior Disorder Rating Scale (SMD −0.31; P<.02), and computer-rated visual attention measured by the Continuous Performance Test (SMD −0.42; P<.001) and Reaction Time (SMD −0.43; P<.02).

Conclusions
Technology-based interventions are promising treatments for improving certain ADHD behaviors and cognitive functions among school-age children with ADHD.

Trial Registration
PROSPERO CRD42023446924; https://tinyurl.com/7ee5t24n
Dampak E-Commerce dalam Meningkatkan Penjualan Kamar Hotel
Authors: Yani Ni Wayan Dewi Anda , Marian Ni Wayan Rena , Purnantara I Made Hadi 
Published: October 2023

Intercontinental Bali Resort merupakan salah hotel terkenal di daerah Jimbaran Bali. Hotel berbintang ini dilengkapi denga fasilitas hotel yang fantastis serta menjadikan Intercontinental Bali Resort sangat diminati oleh wisatawan. Tujuan dari penelitian ini adalah Mengetahui apakah E-Commerce memiliki dampak yang segnifikan terhadap tingkat penjualan kamar diIntercontinental Bali Resort. Metode yang digunakan dalam penelitian ini adalah wawancara, dan dokumentasi, Teknik analisis data yang dilakukan dalam bentuk kualitatif. Hasil dari penelitian ini menunjukan bahwa penerapan e-commerce sangat efektif dalam meningkatkan penjualan kamar di Intercontinental Bali Resort dapat ditinjau bahwa strategi yang digunakan oleh Intercontinental Bali Resort dalam pemasaran e-commerce yaitu : membuat promosi harga untuk menarik pelanggan, menjaga agar Intercontinental Bali Resort selalu berada di lima laman depan website dan menentukan jumlah kamar yang akan dijual.

Intercontinental Bali Resort is one of the famous hotels in the Jimbaran area of Bali. This five-star hotel is equipped with fantastic hotel facilities and makes the Intercontinental Bali Resort very attractive to tourists. The purpose of this study is to determine whether E-Commerce has a significant impact on the level of room sales at the Intercontinental Bali Resort. The method used in this research is interviews, and documentation. Data analysis techniques are carried out in qualitative form. The results of this study indicate that the application of e-commerce is very effective in increasing room sales at the Intercontinental Bali Resort. It can be seen that the strategies used by Intercontinental Bali Resort in ecommerce marketing are: making price promotions to attract customers, keeping Intercontinental Bali Resort always be on the front five pages of the website and determine the number of rooms to be sold.
Pengembangan Atraksi Wisata Situs Prasejarah Liang Bua Berbasis Wisata Edukasi
Authors: Gandur Christine Lestari 
Published: October 2023

Penemuan Liang Bua meyakinkan posisi strategis Indonesia bagi kemajuan ilmu pengetahuan, khususnya menyangkut evolusi manusia, persebaran, perkembangan, dan proses adaptasinya terhadap lingkungan. Selain itu penemuan situs Liang Bua semakin memperkaya pemahaman kita tentang sejarah hunian dan perkembangan budaya di Nusantara, oleh karena itu Liang Bua memiliki potensi besar untuk dikembangkan sebagai Wisata Minat Khusus, yang mengarah pada wisata edukasi. Jenis penelitian ini adalah deskriptif dengan pendekatan kualitatif. Pengumpulan data dilakukan melalui observasi, wawancara, dan dokumentasi. Dalam penelitian ini, teknik analisis data yang digunakan adalah teknik deskriptif kualitatif. Liang Bua sebagai situs prasejarah memiliki nilai-nilai edukasi yang penting. Selain itu Liang Bua memiliki potensi karena keunikan dan nilai prasejarah yang penting bagi dunia arkeologi internasional sehingga patut untuk dijaga dan dikembangkan sebagai wisata berbasis edukasi.

Liang Bua's discovery ensures Indonesia's strategic position for the advancement of science, especially regarding human evolution, distribution, development and the process of adaptation to the environment. Apart from that, the discovery of the Liang Bua site further enriches our understanding of residential history and cultural development in the archipelago, therefore Liang Bua has great potential to be developed as a Special Interest Tourism, which leads to educational tourism. This type of research is descriptive with a qualitative approach. Data collection was carried out through observation, interviews and documentation. In this research, the data analysis technique used is qualitative descriptive techniques. Liang Bua as a prehistoric site has important educational values. Apart from that, Liang Bua has potential because of its uniqueness and prehistoric value which is important for the world of international archeology so it deserves to be maintained and developed as an education-based tourist attraction.
Awareness of Microtakaful Development among Low-Income Earners in Malaysia
Authors: Jahya Arnida , Yusoff Nur Diyana , Roslan Azreen , Rasid Mohd Faizol Rizal , Roslan Anis Sofia Binti 
Published: October 2023

Malaysia is the third largest takaful market globally and the takaful sector in Malaysia shows sound growth in 2022. Takaful had a penetration rate of 20.1% in 2022, up from 18.6% the previous year. However, only 25% of adult employees in the low-income group have some form of life insurance or family takaful cover, in contrast with 59% of those who are employed in the overall population who have takaful or insurance protection. The Malaysian population can be classified into three income segments: the T20 group, the M40 group and the B40 group. This study will only focus on the B40 group with a median income of RM3,860. Microtakaful is a kind of takaful product entailed for addressing the financial needs of households with low incomes in times of significant expenses. The main objective of this study was to examine the factors influencing the awareness of microtakaful development among the low-income group (B40). This study examines the relationship between (i) income level (ii) knowledge, and (iii) loss of exposure to the awareness of microtakaful. Data was collected by distributing 320 questionnaires to the residents in (PPR) Kerinchi Lembah Pantai, Kuala Lumpur. Based on the findings, it can be concluded that the three independent variables, namely income level, knowledge, and loss exposures, have a strong positive relationship with microtakaful awareness. However, it is found that income level has the biggest impact on the awareness of microtakaful.
Effect of Time and Temperature Storage on the Quality of unpasteurized Prickly Pear Juice Enriched with Hydro-soluble Opuntia ficus indica seeds Extract
Authors: Sakhraoui Amira , Touati Noureddine , Hihat Soraya 
Published: October 2023

This study aimed to evaluate the effect of incorporating hydrosoluble Opuntia ficus indica seeds extract in unpasteurized prickly pear juice and monitoring its stability. For this purpose, titratable acidity (TA), total soluble solids (TSS), browning index (BI), total phenolic compounds (TPC), total flavonoids (TF), antiradical activity (DPPH), ferric reducing antioxidant power (FRAP) and microbial analysis were monitored for both enriched and controlled juices during different time and temperature storage. Before storage, the enriched juice values were respectively 0.096±0.001%, 14.1±0.01%, 0.756±0.01, 133.3±3.4mgGAE/100ml, 5.58±0.07mgQE/100ml, 95.89±14.27mgGAE/100ml and 59.34±5.52mgGAE/100ml for TA, TSS, BI, TPC, TF, DPPH and FRAP; while 0.16±0%, 14.1 ±0.001%, 1.2±0.01, 88.39±4.2mgGAE/100ml, 3.98±1.003mgQE/100ml, 51.08±14.27 mgGAE/100ml and 50.33±5.16mgGAE/100ml for the control juice. The microbial analysis revealed the absence of microorganisms even the juices were unpasteurized. Moreover, the results revealed that the enrichment attenuated significantly the effect of storage; indeed, the use of the prickly pear seeds extract in combination with the juices can be a good alternative to enhance the shelf life of unpasteurized prickly pear juice, and improve their quality attributes as well as to minimize the unwanted changes in the nutritional and organoleptic properties.
FEATURES OF THE SOVIET PERIOD OF DEVELOPMENT OF THE FISHERY COMPLEX OF THE KAMCHATSK REGION
Authors: Agunovich Yuliya 
Published: October 2023

From the beginning of the development of the territory of Kamchatka, its production and economic system was formed in the context of the presence of the richest aquatic biological resources, and, accordingly, their extraction and processing. Actually, the wide opportunity for the development of the fishing industry served as the starting point for the development and development of the region. Thus, the mono-industry structure that has developed in the Kamchatka economy has deep historical roots. The study made it possible to identify the stages of development of the fishery complex of the Kamchatka Territory, determine the features and problems of each stage, explore the dynamics of key indicators of the industry's development and analyze the relationship between the development of the industry and the socio-economic indicators of the development of the Kamchatka Territory.
This article highlights the results of the Soviet period of development of the fishery complex of the Kamchatka Territory, presents the results of a study of the main statistical indicators of the socio-economic development of the region, and substantiates the role of the fishery industry as the basis for this development.
Perancangan Mobile Learning Bahasa Arab Menggunakan QR-Code
Authors: Husna Nurul , Indrawati Indrawati , Amri Amri 
Published: October 2023

Bahasa Arab adalah salah satu mata pelajaran yang di berikan kepada peserta didik pada tingkat sekolah dasar. Pada umumnya, media pembelajaranya menggunakan buku dan pembelajaran tatap muka sangat kurang menarik dan siswa pun cepat jenuh. maka dibutuhkan aplikasi pembelajaran berbasis mobile yaitu “Perancangan Mobile Learning Bahasa Arab Menggunakan Qr-Code”. Aplikasi pembelajaran ini dirancang dengan beberapa model pembelajaran yaitu teks, gambar dan suara. Perancangan ini menggunakan algoritma linear congruet method sebagai pengacakan soal. Penelitian ini bertujuan untuk menambah pengetahuan siswa dalam belajar bahasa arab, untuk menguji kemampuan metode LCM sebagai pengacakan soal yang terdapat pada latihan dalam aplikasi. serta untuk mengetahui kelayakan aplikasi pembelajaran ini baik digunakan atau tidak. output penelitian ini berupa piranti sistem m-learning, yang dapat dijadikan sebagai media alternatif belajar siswa diluar kelas dan memberikan kemudahan belajar bahasa Arab secara mobile. Data penelitian telah diperoleh dengan cara user melakukan pretest yaitu 25% yang mencapai kategori baik, persentase meningkat setelah user melakukan postest yaitu 75% yang mencapai kategori sangat baik. Pada pengujian kelayakan sistem mengggunakan metode beta mendapatkan nilai yaitu 154,5 yang berada di rating antara 147-175 (sangat puas). sehingga antarmuka sistem layak untuk diimplementasikan pada sistem.AbstractArabic is one of the subjects given to students at the elementary school level. In general, the learning media using books and face-to-face learning are very unattractive and students quickly get bored. hence a mobile-based learning application is needed, namely "Designing Arabic Mobile Learning Using Qr-Code". This learning application is designed with several learning models, namely text, images and sound. This design uses a linear congruence algorithm as a randomization method. This study aims to increase students' knowledge in learning Arabic, to test the ability of the LCM method as randomization of questions contained in the exercises in the application. as well as to find out the feasibility of this learning application whether it is used or not. The output of this research is in the form of an m-learning system tool, which can be used as an alternative media for student learning outside the classroom and provides convenience for learning Arabic by mobile. The research data has been obtained by means of the user pretest, namely 25% who reached the good category, the percentage increased after the user did the postest, namely 75% who reached the very good category. In testing the feasibility of the system using the beta method, it gets a value of 154.5 which is in a rating between 147-175 (very satisfied). so that the system interface is feasible to be implemented on the system.
Tacking Pergerakan Tangan Menggunakan Skeleton Tracking Kinect
Authors: F Fachri Yanuar Rudi 
Published: October 2023

Gerakan tangan merupakan salah satu cara yang interaktif dalam melakukan interaksi manusia dan komputer. Dengan menggunakan gerakan tangan batasan dalam berinteraksi dengan komputer akan semakin kecil dan akan semakin menarik. Salah satu kendala salam melakukan tracking gerakan tangan adalah sulitnya memisahkan tangan dengan latar belakang. Cara yang umum dilakukan untuk mengatasi hal tersebut adalah dengan mengatur latar belakang ataupun menggunakan lagoritma deep learning untuk memisahkan tangan dengan latar belakang. Kinect kamera menyediakan fasilitas penangkapan kedalaman (depth image) yang mana hasil dari depth image tersebut dapat digunakan untuk melakukan Skeleton tracking pada manusia. Skeleton tracking tersebut dapat digunakan untuk memudahkan tracking pergerakan tangan. AbstractHand gesture is the interactive ways to interact with computer. Using hand gesture could reduce limitation in human computer interaction and make it a lot of attractive. One of the problem in tracking hand gesture is the difficulty of separating the hands from the background. A common way to deal with this is to set the background or use a deep learning algorithm to separate the hand from the background. Kinect camera provides a depth image capture facility where the results from the depth image can be used to perform Skeleton tracking on humans. Skeleton tracking can be used to make it easier to track hand movements.