bluuebunny/crossref_metadata_2025_split huggingface dataset:
PRE-SERVICE MATHEMATICS TEACHERS’ SYMBOL SENSE BEHAVIOR: THE CASE OF EQUATIONS
Authors: Jupri Al 
Published: March 2024

Symbol sense refers largely to an ability to give meaning and to see important structures in symbols, expressions, formulas, and equations. This ability shows an algebraic proficiency in dealing with symbolic representations and is considered important for pre-service mathematics teachers for their future careers. This study aims to investigate pre-service mathematics teachers’ symbol sense ability when dealing with equations. To do so, we set up a qualitative case study. First, after conducting a literature study, we designed symbol sense tasks according to symbol sense characteristics on the topic of equations. Second, we administered an individual written test involving 31 pre-service mathematics teachers (18-19-year-old) at the beginning of the School Mathematics course. Third, we analyzed written work using a symbol sense perspective. The results showed that about two-thirds of the participants lacked symbol sense since they tend to use more procedural strategies than symbol sense strategies in solving equations.ABSTRAKKepekaan simbol secara umum dapat diartikan sebagai kemampuan untuk memaknai dan melihat struktur penting dalam simbol, bentuk aljabar, rumus, dan persamaan. Kemampuan ini menunjukkan kecakapan aljabar dalam menghadapi representasi simbolik dan dipandang penting sebagai bekal bagi calon guru matematika. Penelitian ini bertujuan untuk menginvestigasi kepekaan simbol calon guru matematika ketika menyelesaikan persamaan. Untuk mencapai tujuan ini, kami melakukan penelitian kualitatif dengan desain studi kasus dengan langkah-langkah sebagai berikut. Pertama, setelah melakukan studi literatur, kami mendesain soal-soal kepekaan simbol sesuai dengan karakteristik kepekaan simbol pada topik persamaan. Kedua, kami mengadakan tes tertulis individu yang melibatkan 31 calon guru matematika (18-19 tahun) di permulaan perkuliahan Matematika sekolah. Ketiga, berdasarkan hasil tes, kami menganalisis pekerjaan tertulis calon guru tersebut menggunakan perspektif kepekaan simbol. Hasil penelitian menunjukkan bahwa sekitar dua pertiga dari jumlah peserta yang terlibat dalam tes tertulis kurang memiliki kepekaan simbol karena mereka cenderung menggunakan strategi prosedural daripada strategi kepekaan simbol dalam menyelesaikan persamaan.
MODEL SISTEM PRESENSI BIOMETRI SIDIK JARI DENGAN CIRI COOCURRENCE MENGGUNAKAN METODE JARINGAN SARAF TIRUAN PROPAGASI BALIK
Authors: Setiawan Wawan , Waslaluddin Waslaluddin 
Published: March 2024

Sistem presensi sidik jari merupakan sistem identifikasi biometrik berdasarkan karakteristik sidik jarinya. Sidik jari mempunyai pola yang berbeda tiap orang yang tidak akan berubah seumur hidup, kecuali jika terjadi kecelakaan serius. Sidik jari telah terbukti akurat, aman, mudah, dan nyaman untuk dipakai sebagai identifikasi. Sistem presensi biometri sidik jari fingerprint pada dasarnya adalah pencocokan yang sangat dipengaruhi oleh kondisi permukaan sidik jari, yang dapat bervariasi karena berbagai faktor, maka pada saat merekam jari harus benar-benar dalam keadaan bersih. Berdasarkan pengamatan, muncul persoalan diantaranya sering terjadi kegagalan sehingga harus diulang bahkan pengulangan tersebut ada mencapai belasan kali. Dalam proses pembacaan dan verifikasi, seorang karyawan bisa membutuhkan waktu tiga sampai lima menit. Hal ini menyebabkan tujuan utama penggunaan fingerprint untuk efektivitas dan efisiensi menjadi tidak tercapai. Berdasarkan kondisi tersebut maka dalam upaya membangun sistem presensi karyawan sesuai dengan harapan, diperlukan sebauh metodologi yang handal dan akurat. Dilain pihak potensi Jaringan Saraf Tiruan (JST) dapat memberi peluang untuk menyelesaikan persoalan presensi biometri sidik jari yang ada. Jaringan saraf tiruan merupakan suatu model pemroses yang memiliki kemampuan adaptasi yang baik terhadap karakteristik data atau input. Dalam beberapa kasus, jaringan syaraf tiruan mampu melakukan pengenalan objek 100%. Penelitian ini mencoba untuk menggunakan keunggulan jaringan saraf tiruan dalam pengenalan objek sidik jari. Algoritma yang digunakan adalah backpropagation yang dikenal handal untuk berbagai karakteristik data. Data yang diproses sebagai masukan oleh jaringan saraf tiruan adalah ciri unik yang dihasilkan dengan bantuan coocurrence matrix yang menggambarkan hubungan ketetanggaan piksel citra sidik jari. Setiap objek yang berbeda memiliki hubungan ketetanggaan piksel yang khas. Ciri yang digunakan meliputi 7 (tujuh) ciri yaitu 1) Anguler Second Moment (ASM) atau Uniformity of Energy, 2) Entrophi, 3) Momen tingkat ke-m atau mth-Order Elemen Difference 4) Moment invers,tingkat ke-m m atau mth-Order Inverse Elemen Difference Moment, 5) Probabilitas Maksimum (max cij), 6) Korelasi (Correlation), dan 7) Cluster Shade. Hasilnya menunjukkan bahwa untuk data training 60% ke atas, sistem jaringan saraf tiruan dapat mengenali sidik jari dengan baik mencapai 100% namun membutuhkan pembelajaran yang lama dengan stoping error 0,0001.
Sensual Polyphony of Wilde, Shaw, Dostoyevsky and Shakespeare in Woody Allen’s Films
Authors: Kalista Kamila 
Published: March 2024

Woody Allen’s comedies are like a perpetual carnival, filled with festivity and laughter—a time when most senses are awoken, and participants celebrate freedom and equality. His dramas are marked by a profanation of rules which are generally sacred or at least widely respected.
The author of the article analyzes several of Woody Allen’s films, referring to Mikhail Bakhtin’s theory on polyphony and his concept of the carnivalesque. Allen’s films are upside down worlds of such classics as The Picture of Dorian Gray, Pygmalion, Crime and Punishment, Othello and A Midsummer Night’s Dream. The director conducts a constant dialog with other artists, writers, philosophers and even God. He agrees or polemizes with them on subjects concerning a whole range of emotions and senses mostly in a humorous or ironic way, copying different styles to create a pastiche, a parody, or his own version of drama.
Dis/Connection: Multisensuality and Shame’s Touch in the Work of Gabrielle Goliath
Authors: Wiese Abigail 
Published: March 2024

This article opens a consideration around what the embodied, immersive and live exchange of live performance might make us feel and in turn how this multisensual engagement awakens the feeling body, specifically around notions of touch and shame. The discussion centralises the work of South African visual artist and performance artist, Gabrielle Goliath with a critical reading of Stumbling Block (2011/2017). In Goliath’s durational piece the body both of the performer and the audience member are carefully centralised in the production and engagement of the performance. The centralisation of the body in Goliath’s works points towards and facilitates an empathetic engagement during the performance as live event. Some points of departure in the article are how the performance curates relationality between bodies which offer potential affective spaces of touch. Furthermore, this multisensual “unspoken” engagement between bodies reminds us how the body is a communicative instrument. This contemplation therefore critically positions modes of multisensual “felt-seeing” which often fall into the “gaps” of academic spaces and thinking as central bridges in opening humans to new ways of consciously “seeing”. I consider the encounter outside of text, the multisensual encounter, and ask what this might possibility necessitate.
Prediction of penetration rate and optimization of weight on a bit using artificial neural networks
Authors: Vu Hong Duong , Nguyen Minh Hoa , Nguyen Tien Hung , Nguyen The Vinh 
Published: March 2024

Relevance. Achieving the greatest rate of penetration is the aim of every drilling engineer because it is one of the most significant factors influencing drilling costs. However, a variety of drilling conditions could have an impact on rate of penetration, complicating its forecast. Aim. To suggest a novel strategy to accurately predict rate of penetration and optimize drilling parameters. Objects. Real-time drilling data of a few wells in the Ca Tam oil field, Vietnam, with more than 900 datasets including significant parameters like rotary speed, weight on bit, standpipe pressure, flow rate, weight of mud, torque. Methods. Various methods using Artificial Neural Network was proposed to estimate rate of penetration. Results. The number of neurons in a hidden layer was varied then the results of different Artificial Neural Network models were compared in order to obtain the optimal model. The final Artificial Neural Network model shows high exactness when contrasted with actual rate of penetration, in this manner, it tends to be suggested as a successful and reasonable approach to predict the rate of penetration of different wells in the Ca Tam oil field. Based on the proposed Artificial Neural Network model, the optimal weight on bit was determined for the drilling interval from 1800 to 2300 m of oil wells in the research region.
Zinc Biofortification and Nutrient Management Effect on Growth, Yield and Yield Efficiency Index of Garden Pea under Himalayan Conditions
Authors: Pathak Stuti , Sharma H.R. , Ranga Aman , Shah M. Asif , Shukla Y.R. 
Published: March 2024

Background: Biofortification, an evolving research strategy, aims to enhance the bioavailability of essential micronutrients in staple food crops. The most efficient approach, agronomic biofortification, involves the challenging task of simultaneously increasing grain zinc content and yield through breeding and biotechnology. In pursuit of biofortifying garden peas in the Himalayan region and optimizing their yield, this study was devised with a focus on foliar zinc fertilization application. Methods: The experiment was laid out in a randomized complete block design with three replications. The observations were recorded on growth and yield characters and yield efficiency was calculated. The data recorded was analysed as per design of the experiment for working out the following values. Result: The results revealed that application of 100 % RDF + 0.5 % ZnSO4+ Rhizobium produced best results in most of the yield and yield contributing characters likepod length, pod weight, number of grains per pod, yield and yield efficiency index which can be recommended for increasing the yield ad well as zinc content in pea.
Augmented Reality Mobile Application for Autism Spectrum Disorder Rehabilitation
Authors: Taufiq Milkhatussyafa'ah , Kurniawan Suhartono Bryan Fernando , Sabanari Hizkia Febriano , Musyaddad Muhammad Naufal , Rofiq Dzaky Ahmad 
Published: March 2024

Autism Spectrum Disorder (ASD) is a neurological disorder in which a diagnosed child may have difficulty communicating socially or may have a repeated or limited set of behaviors. Recently, ASD cases have increased dramatically. This makes scientists interested in finding various drugs or therapies that can be used for children with autism. Social behavior therapy is one of therapy that has shown effectiveness in improving fundamental symptoms of ASD. With the rapid development of technology, social behavior therapy was then expanded by utilizing some of the latest technologies that can be beneficial for children with autism. One of the therapies using the latest technology that can be utilized is making a quiz-based game by utilizing Augmented Reality (AR) to create 3D objects virtually. Spectrum Quiz is an example of an AR-based therapy game. This game is expected to improve the ability of children with autism to communicate socially. In the development of the Spectrum Quiz AR application, several tools are needed such as Adobe Illustrator, Unity, and Blender 3D.
Enhancing Employee Motivation: A TOPSIS-Based Decision Support System for Incentive Allocation through Performance Evaluation
Authors: Sutyawati Yuke Subaikah , Daniawan Benny 
Published: March 2024

Information technology is developing rapidly and has a significant role in various aspects, one of which is making decisions to evaluate employee performance. Employee performance assessment is an important activity and is often carried out by companies to determine employee performance in a certain period. A company's progress is greatly influenced by the good and bad of the system that is running. The decision support system can improve and influence the assessment of existing performance in the company. If the decision support system is inadequate, it can lead to errors in decision-making. This research was conducted at PT. App Inti provides enthusiasm and motivation to employees, and the company performs performance assessments every six months, which will influence the adjustment of employee salary increases. However, the current assessment process still uses simple methods and often experiences difficulties assessing performance, making the assessments less effective. Because errors and inaccuracies often occur during assessments, to make it easier for companies to make decisions and help solve these problems, a decision support system was designed using the TOPSIS method. The TOPSIS is a multi-attribute decision-making method often used to complete practical decisions. Then, the results can be considered and help the company determine a decision based on the alternatives and criteria that the company has decided. Then, the results of this research can help companies determine which employees are more visible during the assessment. Then, the TOPSIS ranking results are used to adjust salary increases that have been selected by the company, thereby helping companies make decisions more quickly.Keywords: Performance Appraisal, Decision Support System, TOPSIS
Non-invasive detection of orthotopic human lung tumors by microRNA expression profiling of mouse exhaled breath condensates and exhaled extracellular vesicles
Authors: Mitchell Megan I. , Ben-Dov Iddo Z. , Liu Christina , Wang Tao , Hazan Rachel B. , Bauer Thomas L. , Zakrzewski Johannes , Donnelly Kathryn , Chow Kar , Ma Junfeng , Loudig Olivier 
Published: March 2024

Aim: The lung is the second most frequent site of metastatic dissemination. Early detection is key to improving survival. Given that the lung interfaces with the external environment, the collection of exhaled breath condensate (EBC) provides the opportunity to obtain biological material including exhaled miRNAs that originate from the lung.
Methods: In this proof-of-principal study, we used the highly metastatic MDA-MB-231 subline 3475 breast cancer cell line (LM-3475) to establish an orthotopic lung tumor-bearing mouse model and investigate non-invasive detection of lung tumors by analysis of exhaled miRNAs. We initially conducted miRNA NGS and qPCR validation analyses on condensates collected from unrestrained animals and identified significant miRNA expression differences between the condensates of lung tumor-bearing and control mice. To focus our purification of EBC and evaluate the origin of these differentially expressed miRNAs, we developed a system to collect EBC directly from the nose and mouth of our mice.
Results: Using nanoparticle distribution analyses, TEM, and ONi super-resolution nanoimaging, we determined that human tumor EVs could be increasingly detected in mouse EBC during the progression of secondary lung tumors. Using our customizable EV-CATCHER assay, we purified human tumor EVs from mouse EBC and demonstrated that the bulk of differentially expressed exhaled miRNAs originate from lung tumors, which could be detected by qPCR within 1 to 2 weeks after tail vein injection of the metastatic cells.
Conclusion: This study is the first of its kind and demonstrates that lung tumor EVs are exhaled in mice and provide non-invasive biomarkers for detection of lung tumors.
Tradisi Bersih Desa Putukrejo Nganjuk Jawa Timur melalui Kearifan Lokal Wayang Timplong
Authors: Sri Martini  
Published: March 2024

Penelitian ini bertujuan mengkaji tentang Pertunjukan Wayang Timplong dalam Tradisi Bersih Desa di Desa Putukrejo, Nganjuk Jawa Timur Tahun. Wayang Timplong merupakan kesenian tradisional khas Nganjuk, Jawa Timur. Wayang Timplong memiliki keunikan diantaranya; terbuat dari kayu yang ditatah hingga pipih dengan pahatan membentuk wajah dan ornamen lainnya yang diberi warna. Pertunjukan Wayang Timplong tidak memerlukan bayangan dikarenakan bentuk wayang sudah tergambar jelas sehingga pertunjukan wayang dapat digelar pada pagi, siang, sore atau malam hari. Wayang Timplong pada masa kejayaannya biasa digunakan masyarakat dalam berbagai acara diantaranya; pernikahan, khitanan, syukuran, tradisi bersih desa, ruwatan dan nandar. Seiring perkembangan jaman Wayang Timplong mulai ditinggalkan masyarakat dan hingga saat ini hanya acara-acara tertentu yang masih bertahan menggunakan Wayang Timplong seperti; tradisi bersih desa, ruwatan dan nandar karena berkaitan dengan kepercayaan masyarakat yang diturunkan oleh nenek moyang melalui sebuah tradisi bahwa Wayang Timplong mampu menghalau segala macam bencana pada suatu desa. Wayang Timplong mengandung nilai-nilai kehidupan dan pendidikan karakter yang digambarkan melalui cerita yang bertemakan Panji.
Effects of Quasi-Steady Environment for PM2.5 Laser-based Monitoring System During Dry Season in Two Consecutive Years
Authors: Tomo Haryo , Dewi Kania , Lestari Puji 
Published: March 2024

Abstract
PM2.5 particulates are known to be air pollutant species that can be transported over long distances. The movement of PM2.5 in certain conditions is not only influenced by changes in microclimate, especially wind speed, wind direction and radiative transfer mechanisms, but also because of the nature of Brownian motion. In this paper, the behaviour of the presence of PM2.5 during the Dry Season will be presented in two consecutive years (2017 and 2018) where monitoring uses laser-based instruments. Monitoring is carried out in locations that have calm wind distribution characteristics that reach more than 60%, meaning that convective air mass movements occur in a minimum (quasi-steady) amount. By locating monitoring equipment at this location, it is expected to provide an overview of the PM2.5 concentration patterns both daily and monthly and prove the preposition that the two pollutant parameters are able to be present in locations that have quasi-steady conditions due to non-convective transport mechanisms.
Deep-learning enabled online mass spectrometry
of the reaction product from a single catalyst
nanoparticle
Authors: Langhammer Christoph , Moberg Henrik Klein , Nedrygailov Ievgen , Albinsson David , Fritzsche Joachim 
Published: March 2024

Abstract
Extracting tiny signals from noise is a generic challenge in experimental science. In catalysis, this challenge manifests itself as the need to quantify chemical reactions on nanoscopic surface areas, such as single nanoparticles or even single atoms. Here, we address this challenge by combining the ability of nanofluidic reactors to focus reaction product from tiny catalyst surfaces towards online mass spectrometric analysis with the unrivalled ability of a constrained denoising autoencoder to discern tiny signals from noise. Using CO oxidation on Pd as model reaction, we demonstrate that the catalyst surface area required for online mass spectrometry can be reduced by ≈ 3 orders of magnitude compared to state of the art, down to a single nanoparticle with 0.0072 ± 0.00086 μm2 surface area. These results constitute a new paradigm for online reaction analysis in single particle catalysis and advocate deep learning to improve resolution in mass spectrometry in general.
The Endocannabinoid Activity Remodulation for psychosis Liability in Youth (EARLY) Study: An Open-Label Feasibility Trial of Palmitoylethanolamide Oral Supplementation in Clinical High-Risk State for Psychosis
Authors: Bortoletto Riccardo , Garzitto Marco , Piscitelli Fabiana , Comacchio Carla , Curcio Francesco , Fabris Martina , Sepulcri Orietta , Balestrieri Matteo , Colizzi Marco 
Published: March 2024

Abstract
Background
To date, no psychotropic medication has shown to effectively halt progression to psychosis among individuals at Clinical High-Risk for psychosis (CHR), fueling the search for novel therapeutic agents. Recent evidence supports Palmitoylethanolamide (PEA) signaling as a potential psychosis biomarker, also indicating a therapeutic role for its supplementation. Nonetheless, the effect of sustained PEA intake in CHR subjects has never been explored so far.
Methods
We will assess the feasibility of enrolling 20 CHR young adults presenting with attenuated psychotic symptoms (APS) in a 12-week, open-label, investigator-initiated, proof-of-concept, single-arm trial of PEA 600 mg/day. Once completed the 12-week phase, participants will be proposed to enter a 24-week extension phase of the study. We will examine PEA ability to reduce APS and psychic distress, PEA safety and tolerability, and the biological basis of PEA effect in terms of modulation of inflammatory response, endocannabinoid (eCB) system, and microbiome.
Discussion
Our trial aims to address an unmet clinical need in CHR subjects, providing an initial solid basis for the development of future studies evaluating the efficacy and tolerability of PEA supplementation in this group of patients.
Trial registration
Clinicaltrials.gov, NCT06037993 (https://classic.clinicaltrials.gov/ct2/show/NCT06037993). Registered on 21 September 2023. Retrospectively registered.
Moving towards Educational Technology Integration: A Mixed Methods Study of Iranian EFL Teachers’ Attitude to the Incorporation of Educational Technology
Authors: Sadeghi Sayed Hadi 
Published: March 2024

Abstract
In an attempt to analyse technology integration, this paper investigates the attitude of Iranian EFL teachers towards the utilisation of educational technology in Iranian EFL classrooms. A total of 115 EFL teachers in Tehran, Iran were selected through a random sampling procedure. An explanatory sequential mixed methods was adopted, where questionnaire data were accumulated and surveyed first, followed by a qualitative analysis of interviews. The findings indicate that Iranian EFL teachers maintain a generally positive attitude towards the incorporation of technology in EFL education, as the participants regarded computer technology as a useful instrument for EFL courses. This research further explores some of the factors challenging technological incorporations in Iranian EFL classrooms, including teachers’ lack of technological know-how, poor infrastructure and the restrictive regulations of the Iranian educational system. The results entail recommendations and implications for the teachers, curriculum developers and authorities in a call for reform.