bluuebunny/crossref_metadata_2025 huggingface dataset:
Delivery of a novel membrane-anchored Fc chimera enhances NK cell-mediated killing of tumor cells and persistently virus-infected cells
Authors: Varudkar Namita , Shiffer Elisabeth M. , Oyer Jeremiah L. , Copik Alicja , Parks Griffith D.
Published: May 2023

Antibody-dependent cellular cytotoxicity (ADCC) is one of the most powerful mechanisms for Natural Killer (NK) cells to kill cancer cells or virus-infected cells. A novel chimeric protein (NA-Fc) was created, which when expressed in cells, positions an IgG Fc domain on the plasma membrane, mimicking the orientation of IgG bound to the cell surface. This NA-Fc chimera was tested with PM21-NK cells, produced through a previously developed particle-based method which yields superior NK cells for immunotherapeutic applications. Real time viability assays revealed higher PM21-NK killing of both ovarian and lung cancer cells expressing NA-Fc, which correlated with increased release of TNF-α and IFN-γ cytokines from NK cells and was dependent on CD16-Fc interactions. Lentivirus delivery of NA-Fc to target cells increased the rate of PM21-NK cell killing of A549 and H1299 lung, SKOV3 ovarian and A375 melanoma cancer cells. This NA-Fc-directed killing was extended to virus infected cells, where delivery of NA-Fc to lung cells that were persistently infected with Parainfluenza virus resulted in increased killing by PM21-NK cells. In contrast to its effect on PM21-NK cells, the NA-Fc molecule did not enhance complement mediated lysis of lung cancer cells. Our study lays the foundation for application of the novel NA-Fc chimera that could be delivered specifically to tumors during oncolytic virotherapy to mark target cells for ADCC by co-treatment with adoptive NK cells. This strategy would potentially eliminate the need to search for unique cancer specific antigens for development of new antibody therapeutics.
‘Maybe if she stanned …’: Reinforcing fan identities and affirming positive fan-object relations through toxic practices in K-Pop fandom
Authors: Mercier Faye
Published: May 2023

This article proposes an analysis of a specific form of toxic fan practice within Korean pop (K-Pop) music fandoms, discussing the role these toxic discourses play in the formation and affirmation of positive fan identities. The specific toxic practices that will be discussed occur in response to the personal tragedies of others, frequently where suicide or attempted suicide is involved. In particular, this article focuses on the ways in which certain K-Pop fans target the personal tragedies of others as a means of reinforcing a positive relation to their fan-object. Crucially, the tragedies these toxic behaviours are directed towards are not immediately related to the fandom or fan-object, and these aggressive fan behaviours are largely unprovoked. This ‘Maybe if she stanned …’ phenomenon serves to express the superiority of fan communities by asserting their distance from the suffering of others, as well as the redemptive qualities of their fan-object. I argue that these toxic fan practices function as a means of reaffirming the righteousness of a particular fandom, and this righteous toxicity is itself the result of the K-Pop industry’s valorization of an emotionally heightened form of fan devotion, as well as a changing online fan environment. In doing so, I hope to demonstrate how toxic fan practices arise as self-affirming meaning-making discourses within fan communities.
Between high hopes and disappointments: Community-Based tourism in Prainha do Canto Verde, Beberibe - CE
Authors: Silva João Paulo
Published: May 2023

This study analyzes the territorial repercussions of the development of Community-Based Tourism (CBC) in the Resex region of Prainha do Canto Verde, a community located in the municipality of Beberibe, on the coast of the State of Ceará, Brazil. This initiative is one of fifty  CBT projects supported by Public Notice No. 001/2008 of the Ministry of Tourism. The analysis carried out considered some important dimensions for the structuring of the tourism modality discussed here, such as popular participation, the relationship between the community and the inducing agent, the project management model and the socio-spatial conflicts that arise with the development of tourism in the territory. To this end, bibliographic and documentary research was carried out on works produced on the fifty CBT projects supported in 2008, in addition to field research in Prainha in 2020 and semi-structured interviews, carried out remotely with representatives of the Rede Cearense de Turismo Comunitário (TUCUM) throughout 2021. The study promotes the understanding of CBT as a means of promoting community participation in the process of constructing, operating, managing and monitoring tourist activity in territories that present social and economic vulnerabilities, generally characterized as traditional communities.
Acute ecotoxicity of aqueous and ethanolic extract of leaves of Khaya senegalensis on chironomid larvae
Authors: Adakole John Ameh , Balogun J. B.
Published: May 2023

Protection of aquatic habitat requires an understanding of both the sensitivity of invertebrates to contaminants and their ecological requirements. Phyto-chemical screening of the leaves of extract of Khaya senegalensis revealed the presence of active constituents. Acute ecotoxicities of aqueous and ethanolic extracts of leaves of Khaya senegalensis to Chironomid larvae were evaluated by static bioassay. Bioactivity of the ethanolic extract was found to be greater than the aqueous extract. The LC50 of aqueous and ethanolic extracts were 1.39g/l and 1.20g/l respectively. Stressful behaviors exhibited by the chironomids include deformity of mouthparts, certain body segments being filled with black particles and change in body coloration. All behaviors were dose-dependent. The larvae were not repelled by the extract, indicating that antifeedant activity was not a mortality factor. Mortality was probably due to the disappearance of the reddish coloration of the hemoglobin component and consequently impaired metabolism of the larvae. The results were discussed and compared with those of other studies.
Um acelerador em hardware para a cifra ChaCha20
Authors: Glevinski Queiroz de Santana Khalil , Rossi de Melo Douglas
Published: May 2023

ABSTRACTCurrent computer systems use encryption extensively, for example,in instant messaging, virtual private network protocols, andwebsites in general. However, employing encryption in a systemcan be computationally costly, resulting in lower throughput orhigher latencies. One strategy to mitigate the costs imposed by theapplication of cryptography is the use of accelerators dedicatedto the execution of this task. In this context, this paper presentsthe development of an encryption accelerator for the ChaCha20stream cipher. The accelerator was prototyped on two FPGA SoCplatforms, achieving a normalized speedup of 3.49 times comparedto the software implementation.
AutoRGNN: um Modelo de Previsão de Churn que preserva a Privacidade com uma Abordagem Híbrida de Aprendizado Profundo
Authors: Teixeira Pinto Coimbra Gabriel , Pinto da Silva Mateus , Aguiar Silva Fabrício , Regina de Moura Braga Thais
Published: May 2023

RESUMOIn recent years, the use of mobile applications for digital serviceis being widely deployed in a varied range of contexts. With this,predicting the possibility of churn is vital for selecting users thatcould be targeted with user-retention campaigns. This techniqueis commonly referred as Churn Prediction Problem (CPP). Moststudies in the literature use traditional machine learning techniquesto predict churn, and neglect the users’ privacy. In this work, wepropose a privacy-preserving solution that uses neural network topredict churn of mobile services. Our solution, called AutoRGNN,requires only the installation and uninstallation sequences of mobileapps, and integrates Recurrent and Graph Neural Networks. Incomparison with a traditional baseline approach in a large-scaleand real scenario, AutoRGNN was capable to increase the recalland precision up to 19% and 7%, respectively.
Aplicação de técnicas de aprendizagem de máquina com seleção de variáveis na previsão de receitas públicas de 8 capitais
Authors: Patrícia S. Pimentel Cláudia , Lobato Fábio , Jacob Jr Antonio
Published: May 2023

ABSTRACTForecasting public revenues at the municipal level isquite relevant for public administration in Brazil sinceit defines the budget of public policies. However, it is acomplex process, and its consequences that permeatethe divergence between executed and budgeted valueshave harmful effects on the population. So, aiming tomitigate this problem, we analyzed to optimize publicrevenue forecasting using feature selection throughmodel combination (ensemble) of wrapper filterapproaches. We assessed the proposed solution in lightof the Brazilian Fiscal Responsibility Law, using SãoLuís, Maranhão, as a case study. Our results suggestedthat our approach is suitable for reducing complexityand improving forecasting performance. The methodcan be used in other Brazilian state capitals, boostingdata-driven public policy-making.
Senso de pertencimento das mulheres em projetos de software
Authors: Salamoni Francisco Mariana , Ré Reginaldo , Scaliante Wiese Igor , Aurélio Graciotto Silva Marco
Published: May 2023

ABSTRACTBackground: Gender diversity is an important feature for softwaredevelopment. Studies show that teams with more diversity are moreproductive, too. Objective: This study is a systematic review thatanalyzes women’s motivations to contribute to software development,focusing on a sense of belonging. Method: A protocol wasestablished and the works retrieved by the applied search string.It was analyzed according to the inclusion and exclusion criteria.Results: The results showed that the main factors that motivatewomen to contribute to software projects are Kinship, Career andLearning. However, the sense of belonging, related to the termKinship, was more important in the analysis of groups composedonly of women, compared to heterogeneous groups. Conclusions:Thus, it was found that there are differences in motivations betweengenders, and the sense of belonging is more relevant forwomen than for men. Therefore, to increase diversity in softwareprojects, an important factor to be improved is the belonging of thecontributors.
Zeig Dich: Dataset para Reconhecimento de Tipos de Fonte de Jornais Históricos Teuto-Brasileiros
Authors: Ulzbach Lucas , Bianchi Todt Thomas , Maria do Nascimento Thalita , Todt Eduardo , Domingos Tricossi dos Santos Pedro
Published: May 2023

ABSTRACTThis paper addresses the challenge of typeface recognition, withinthe broader scope of optical character recognition of historicalGerman-Brazilian periodicals. A dataset of words containing annotationsof font types and transcriptions for training neural networksfor typeface and text recognition is presented. By enabling wordleveltypeface and text recognition, the authors plan to later developtechniques for high-precision OCR of historical prints typeset inheterogeneous font styles. The value of this dataset is proven by theexcellent results obtained by artificial neural networks trained on it.The authors also recognize that even better results can be obtainedby exploring new ways of organizing the dataset prior to training,and that the results can also be improved through modifications inthe architecture of the nets used.
Game Theory Employment in the Context of Ports Management
Authors: Gonçalves Rafael , Henrique da Fountoura Klein Antonio , Barbosa Márcio , Maria da Rocha Fernandes Anita
Published: May 2023

ABSTRACTThe port management is a complex activity. It is so due to the manyvariables involved that could take in account the climatic,environmental, ships features and its cargo. In this context theforecasting about how many ships a certain port will be able toreceive and how long time each ship will need to perform itsoperations in a certain period of the year can be uncertain, once itis impacted by external factors such as the climatical conditions. Inthis context this paper proposes a forecasting mechanism based onthe game theory which utilizes data collected during four years foreach ship that has moored in two different Brazilian ports. Basedon these data we have defined a game theory model for forecastingthe port behavior in a future time period. A first implementation ispresented as well as a first analysis of provided outputs.
Identificação de Comportamento Anormal em Atividades da Vida Diária do Idoso Através de Algoritmos de Detecção de Novidades
Authors: De Freitas Maurício , Piai Vinicius , Maria da Rocha Fernandes Anita , De Souza Gabriel , De Freitas Adriana , Andonini Gabriel , Parreira Wemerson
Published: May 2023

ABSTRACTIn old age, a series of common health conditions, chronic diseases, and disabilities affect the individual's physical and mental health and prevent the performing of Activities of Daily Living. This paper presents a solution to identify abnormalities in the behavior of the elderly based on ADL (Activities of Daily Living), using Machine Learning, through the Novelty Detection technique. The ADL data were used to create a model that defines the baseline behavior of the elderly, and new observations, to verify significant changes in behavior, are classified as discrepant or abnormal. The Local Outlier Factor, One-class Vector Machine, Robust Covariance, and Isolation Forest novelty detection algorithms were used and evaluated. The model presented reached an accuracy and F1-Score of 96%.
A distributed processing and cloud based tool to deal with satellite image processing for shoreline analysis
Authors: Queiroz Gonçalves Rafael , Almeida Luis , Pool Lais , Henrique da Fountoura Klein Antonio , Fernandes Anita
Published: May 2023

ABSTRACTThe analysis of shorelines is an important activity that can supportspecialist from several areas in decision making based on statisticalanalysis about evaluation of water segments over shorelines and theforecasting of its progress. However, to perform such analysisbased on digital images it is necessary a huge data processing.Currently an extensive data set of images are available, that can beused as a source for shoreline analysis and can be processed bycomputers through image processing algorithms. In this context,this paper presents a technical perspective of a tool for performingshoreline analysis based on satellites images named CoastalAnalyst System from Space Imagery Engine (CASSIE). This toolworks as an orchestrator of cloud-based APIs. This paper presentsthe overall architecture of this tool as well as its main use cases.The evaluation of this tool is discussed based on its usage byspecialists and the provided feedback.
IRIS: Extração, Organização e Classificação de Conteúdos do Projeto Pedagógico de Curso do Técnico em Automação Industrial
Authors: Melo Almeida Vinícius , Cad Marcelo , Filardi Vitor
Published: May 2023

ABSTRACTTraditional search systems on the World Wide Web haverevolutionized searching for information, almost wholly replacingphysical encyclopedias. However, these systems must developnew search methods that make the process more efficient andcomprehensive for students. In technical courses, it is common forstudents to struggle with searching for quality content on theinternet that serves both as a bibliographic base for the disciplinesand as reference material to deepen their knowledge. TheIntelligent Research Interactive System (IRIS) automates searchesfor contents of the fields in the Industrial Automation TechnicalCourse to contribute to an effective improvement in the quality oftheir studies and reduce the time spent in processes that are notlinked to the education activities.
A New Step towards Narrowing the Achievement Gap in Turkey: “1,000 Schools in Vocational Education and Training” Project
Authors: ÖZER Mahmut
Published: May 2023

The aim of this study is to examine the science learning styles of eighth grade students in terms of gender, having a study room, having internet access and future expectation variables. For this purpose, survey design was used. The sample of the study consisted of 584 eighth grade students in Kayseri. Grasha Reichmann Learning Styles Scale developed in 1996 and adapted to Turkish by Vural (2013) was used as a data collection tool. In the analysis of the data, descriptive statistical techniques and cross-table analysis were performed. It has been found that the students use collaborative and competitive learning styles at a high level and they use independent, dependent, avoidant, and participative learning styles at moderate level. In addition, while the dominant learning style of most of the students is dependent learning style. In terms of demographic variables, students' learning style preferences differ in terms of gender, having internet access, and future expectation, but it does not differ in terms of having an independent study room variable.
Digital Storytelling in Education from Teachers’ Perspectives
Authors: ÖZÜDOĞRU Gül
Published: May 2023

This study aims to reveal information and communication technology teachers' opinions on the use of digital storytelling in education. The study was carried out with qualitative methods case study. The study group consists of 38 teachers participating in in-service training at the end of the spring semester of the 2018-2019 academic year and working in public schools. Data collection tools are demographic information form and semi-structured interview form created by the researcher. Firstly, teachers were trained on digital storytelling within the scope of in-service training. Within the scope of this training, the definition, history, components, types, stages of digital storytelling, the importance of its use in educational environments, the introduction of software that can be used for digital storytelling, and demonstration of sample digital stories have been made. Then, data collection tool was applied. The content analysis method was used in the analysis of the data. At the end of the study, teachers gave opinions such that digital storytelling provides the opportunity to teach the subject more easily, offers students the opportunity to learn by having fun, may be used to raise awareness on social issues, and the lack of technological infrastructure may be a preventive factor.
PENINGKATAN GIZI DAN KARAKTERISTIK KERUPUK PANGSIT DENGAN PENAMBAHAN TEPUNG TULANG IKAN NILA (Oreochromis niloticus)
Authors: Sumbodo Joko , Amalia Ulfah , Purnamayati Lukita
Published: May 2023

Tulang ikan nila masih menjadi masalah bagi produsen. Salah satu solusi untuk mengatasi masalah limbah tulang ikan nila adalah mengolahnya menjadi tepung tulang.Kerupuk pangsit merupakan bahan pangan yang digemari namun masih kecil kandungan nutrisinya dan dibutuhkan peningkatan kerenyahan. Tujuan dari penelitian ini untuk mengetahui apakah penambahan tepung tulang ikan nila mampu mempengaruhi karakteristik kerupuk pangsit. Bahan yang digunakan meliputi tulang ikan nila, tepung terigu, telur, air, mentega, bubuk bawang putih, gula dan garam. Penelitian ini bersifat experimental laboratories model rancangan acak lengkap dengan satu faktor yaitu konsentrasi tepung tulang ikan nila (0%, 10%, 20% dan 30%) dengan 3 kali pengulangan. Tepung tulang ikan nila diuji rendemen, kadar kalsium dan ukuran partikel. Karakteristik kerupuk pangsit dilihat berdasarkan uji hedonik, kerenyahan, citra mikroskopi (SEM), kadar air dan kadar kalsium. Data parametrik dianalisis dengan ANOVA, sedangkan data non parametrik menggunakan uji Kruskal Wallis. Hasil penambahan tepung tulang ikan nila dalam adonan kerupuk pangsit berpengaruh terhadap kerupuk pangsit dengan penambahan tepung tulang 10% menjadi yang paling disukai dengan nilai hedonik 7,418 < µ < 7,632, kerenyahan 350,56 ± 19,65 gf, citra mikroskopi menunjukkan berkurangnya gelembung udara, kadar air 2,70 ± 0,06% dan kadar kalsium 122,74 ± 0,96 mg/100 g. Penambahan tepung tulang ikan nila mampu mempengaruhi karakteristik kerupuk pangsit.
OKSIDASI LEMAK PADA IKAN EKOR KUNING (Caesio cuning) ASIN DENGAN KONSENTRASI GARAM YANG BERBEDA
Authors: Muhammad Muhammad , Dewi Eko Nurcahya , Kurniasih Retno Ayu
Published: May 2023

Ikan ekor kuning asin mengandung asam lemak tidak jenuh sebesar 0,2% sehingga mudah mengalami oksidasi. Pemberian garam yang terlalu banyak bisa menjadi salah satu faktor terjadinya oksidasi lemak pada ikan asin. Penelitian ini bertujuan untuk mengetahui pengaruh dari perbedaan konsentrasi garam terhadap oksidasi lemak tidak jenuh dan mengetahui konsentrasi garam terbaik pada ikan ekor kuning asin. Metode penelitian menggunakan Rancangan Acak Lengkap dengan konsentrasi garam yang berbeda (0%, 20%, 30%, dan 40%). Data parametrik dianalisis menggunakan analisa sidik ragam (ANOVA) dan Uji Beda Nyata Jujur (BNJ). Data non parametrik dianalisis menggunakan uji Kruskal-Wallis dan Mann-Whitney U. Hasil penelitian menunjukkan bahwa perbedaan konsentrasi garam memberikan pengaruh yang berbeda nyata (P<5%) pada nilai PV, FFA, kadar air, Aw, kadar garam, dan TPC. Konsentrasi garam yang semakin tinggi menghasilkan nilai kadar garam, PV dan FFA semakin tinggi. Sebaliknya, pada parameter kadar air, Aw, dan TPC menghasilkan nilai yang rendah. Perlakuan konsentrasi terbaik terdapat pada ikan ekor kuning asin dengan konsentrasi garam 20% yang menunjukkan nilai PV yang rendah yaitu sebesar 9,60 meq/kg, FFA sebesar 0,83%, kadar air sebesar 36,99%, Aw sebesar 0,75, kadar garam sebesar 22,12% dan TPC sebesar 4,9x105 CFU/g. Berdasarkan hasil uji dapat disimpulkan bahwa perbedaan konsentrasi garam mempengaruhi proses oksidasi lemak dan konsentrasi garam terbaik ialah sebesar 20% berdasarkan nilai oksidasi lemak pada ikan ekor kuning asin.
PENAMBAHAN GUM ARAB DENGAN KONSENTRASI YANG BERBEDA TERHADAP KANDUNGAN SENYAWA VOLATIL BUBUK RUSIP IKAN TERI (Stolephorus sp.)
Authors: Susianti Susianti , Amalia Ulfah , Rianingsih Laras
Published: May 2023

Rusip merupakan produk fermentasi ikan dengan menggunakan bahan baku ikan yang berukuran kecil seperti ikan teri  dan memiliki aroma manis khas yang berfungsi sebagai bumbu masakan. Pengolahan rusip menjadi bubuk mengakibatkan komponen senyawa volatil dapat hilang sehingga diperlukan bahan untuk melindunginya salah satunya gum arab. Tujuan dari penelitian ini untuk mengetahui pengaruh penambahan gum arab terhadap senyawa volatil bubuk rusip dan mengetahui kandungan senyawa volatil yang terdapat pada bubuk rusip. Penelitian ini bersifat experimental laboratories model Rancangan Acak Lengkap dengan perlakuan konsentrasi gum arab yang berbeda yaitu 0%, 2,5%, 5% dan 7,5% dengan 3 kali pengulangan. Data parametrik (kadar asam glutamat, kadar protein dan kadar air) dianalisa menggunakan Anova BNJ, sedangkan data non parametrik (hedonik) menggunakan uji Kruskal Wallis. Hasil Anova BNJ menunjukkan gum arab berpengaruh terhadap bubuk rusip (P<5%) terhadap kadar asam glutamat, kadar protein dan kadar air. Penambahan gum arab terhadap senyawa volatil bubuk rusip berpengaruh terhadap kemunculan puncak dan area terbesar yaitu 62,51%. Senyawa volatil bubuk rusip dengan penambahan gum arab memberikan hasil yang lebih tinggi dengan kandungan senyawa volatil yang berasal dari golongan hidrokarbon, ester dan beberapa golongan lain seperti nitrogen. Hasil pada bubuk rusip dengan penambahan gum arab 5% merupakan perlakuan terbaik dengan kadar asam glutamat 13,44±0,06 mg, kadar protein 27,29±0,28% dan kadar air 8,24±0,03%. Tingkat penerimaan panelis terhadap bubuk rusip paling disukai pada konsentrasi 5% dengan rata-rata 8,10±0,48.
PENGHAMBATAN OKSIDASI LEMAK BAKSO IKAN LELE (Clarias batracus) DENGAN EDIBLE COATING KARAGENAN YANG DIPERKAYA MINYAK WIJEN
Authors: Inats Ashimatul , Dewi Eko Nurcahya , Purnamayati Lukita
Published: May 2023

Tingginya kandungan lemak pada ikan lele menyebabkan bakso selama penyimpanan suhu ruang rentan terhadap kerusakan lemak. Edible coating merupakan salah satu alternatif yang mampu menghambat oksidasi lemak pada bakso ikan sebagai pembawa senyawa antioksidan dari minyak wijen. Tujuan dari penelitian ini untuk mengetahui apakah penambahan minyak wijen pada edible coating mampu memperpanjang daya simpan bakso pada suhu ruang. Bahan yang digunakan meliputi ikan lele, karagenan dan minyak wijen. Penelitian ini bersifat experimental laboratories model rancangan acak lengkap faktorial (2x5) dengan dua faktor yaitu konsentrasi minyak wijen (0% dan 0,5%) dan lama penyimpanan (0,12,24,36,48) dengan 3 kali pengulangan. Daya awet bakso ikan dilihat berdasarkan uji organoleptik, kadar air, pH, nilai TBA dan kekuatan gel. Data parametrik dianalisis dengan ANOVA, sedangkan data non-parametrik menggunakan uji Kruskal wallis. Hasil pada bakso ikan lele dengan penambahan minyak wijen 0,5% pada edible coating dapat diterima hingga penyimpanan selama 36 jam dengan nilai organoleptik 7,04< <7,70, nilai kadar air 65,91%±0,82, nilai pH 6,25±0,02, nilai TBA 0,52±0,01 mg malonaldehid/kg dan  nilai kekuatan gel 1937,60±118,74 gf. Penambahan minyak wijen sebagai antioksidan pada edible coating bakso ikan lele hanya mampu memperpanjang umur simpan bakso selama penyimpanan 36 jam dibandingkan dengan kontrol.
KARAKTERISTIK FISIKO-KIMIA SKIN LOTION EKSTRAK ALBUMIN IKAN GABUS (Channa striata)
Authors: Hardjata Desya Anjani , Romadhon Romadhon , Rianingsih Laras
Published: May 2023

Ikan gabus merupakan jenis ikan air tawar yang dikenal mengandung protein albumin tinggi. Albumin berperan sebagai bahan pengemulsi dan juga berkontribusi dalam kesehatan kulit. Kemampuan tersebut menjadi dasar penelitian penambahan ekstrak albumin ikan gabus dengan konsentrasi berbeda (0%; 10%; 20%; dan 30%) terhadap formulasi skin lotion. Penelitian ini bertujuan untuk mengetahui pengaruh penambahan ekstrak albumin ikan gabus yang berbeda terhadap karakteristik fisiko-kimia skin lotion dan mengetahui konsentrasi ekstrak albumin ikan gabus terbaik untuk menghasilkan produk skin lotion yang sesuai dengan Standar Nasional Indonesia (SNI). Rancangan penelitian yang digunakan adalah Rancangan Acak Lengkap (RAL) dengan tiga kali pengulangan. Data parametrik (kadar albumin, pH, viskositas, daya sebar, daya lekat, bobot jenis, dan stabilitas emulsi) dianalisa dengan uji ANOVA dan BNJ. Data non-parametrik (hedonik) dianalisa dengan uji Kruskall-Wallis dan Mann-Whitney. Ekstrak ikan gabus diperoleh melalui proses pengukusan, pengepressan, dan sentrifugasi memiliki kadar albumin sebesar 3,97 ± 0,53% (mg/ml) dengan nilai rendemen sebesar 20,82 ± 5,15%. Hasil penelitian menunjukkan bahwa penambahan ekstrak albumin ikan gabus dengan konsentrasi yang berbeda memberikan pengaruh (P<0,05) terhadap karakteristik fisiko-kimia skin lotion (kadar albumin, pH, viskositas, daya sebar, daya lekat, bobot jenis, stabilitas emulsi, dan hedonik). Penambahan konsentrasi ekstrak albumin ikan gabus 10% adalah perlakuan terbaik yang menghasilkan karakteristik fisiko-kimia skin lotion yang sesuai mutu Standar Nasional Indonesia (SNI) 16-4399-1996 dengan nilai hedonik 5,13 ≤ µ ≤ 5,62 (disukai oleh panelis), kadar albumin 1,44 %; pH 7,57; viskositas 4452 cP; daya sebar 5,24-6,22 cm; daya lekat 4,51 s; bobot jenis 0,98 g/ml; dan stabilitas emulsi 100%.
PENGARUH PERBEDAAN KONSENTRASI EKSTRAK PEWARNA ALAMI RUMPUT LAUT (Sargassum sp.) TERHADAP MUTU WARNA KAIN KATUN BATIK
Authors: Ramadhan Farisan Hilmana , Dewi Eko Nurcahya , Anggo Apri Dwi
Published: May 2023

Pewarna sintetis dapat menimbulkan beberapa masalah lingkungan terutama pada limbah cair yang dihasilkan selama proses pembuatan batik. Salah satu alternatif yang dapat digunakan sebagai pewarna kain batik adalah rumput laut (Sargassum sp.). Ekstraksi zat warna dari rumput laut (Sargassum sp.) diberikan tiga macam perlakuan ektraksi dengan konsentrasi rumput laut : air yaitu 1:15, 1:10, dan 1:5. Bahan pewarna untuk kontrol yaitu menggunakan ekstrak pewarna dari mangrove (Rhizophora sp.). Konsentrasi yang digunakan pada kontrol yaitu 1:10 sesuai standar dalam pembuatan batik pewarna alam. Hasil pengujian beda warna kain menunjukkan bahwa perbedaan konsentrasi zat pewarna Sargassum sp. berpengaruh terhadap nilai kecerahan dan arah warna kain. Perbedaan konsentrasi zat warna berpengaruh terhadap tingkat ketuaan kain namun pada konsentrasi lebih tinggi, kain mengalami kejenuhan untuk menyerap zat warna sehingga perubahan warna perlakuan B dengan C tidak berbeda nyata. Hasil pengujian tahan luntur warna terhadap gosokan kering menunjukkan pada semua perlakuan memberikan hasil nilai Staining Scale (SS) 4-5 dan pada gosokan basah menunjukkan nilai A yaitu 4-5, B dan C yaitu 4 yang artinya semua perlakuan dalam kategori baik. Hasil pengujian tahan luntur warna terhadap sinar matahari menunjukkan nilai nilai Grey Scale (GS) A yaitu 3-4 yang artinya cukup baik, sedangkan B, dan C yaitu 4 yang artinya nilai tersebut dalam kategori baik.
KARAKTERISTIK PERISA BUBUK EKSTRAK KEPALA UDANG VANAMEI (Litopenaeus vannamei) DENGAN PENAMBAHAN KONSENTRAT TOMAT (Lycopersicum esculentum) MENGGUNAKAN METODE FOAM MAT DRYING
Authors: Umah Lailatul , Agustini Tri Winarni , Fahmi Akhmad Suhaeli
Published: May 2023

Pengolahan udang vanamei menghasilkan limbah sebesar 35-40% berupa karapas dan kepala. Kepala udang vanamei dapat digunakan dalam pembuatan perisa bubuk karena memiliki kandungan asam glutamat untuk menghasilkan rasa gurih. Rasa gurih pada perisa bubuk dapat ditingkatkan dengan buah tomat yang mempunyai asam glutamat sebesar 246 mg/g. diharapkan mampu meningkatkan menggunakan metode pengeringan foam mat drying (kalimat ini maksudnya bagaimana? Mohon diperjelas). Tujuan penelitian ini untuk mengetahui pengaruh konsentrat tomat yang berbeda terhadap karakteristik perisa bubuk ekstrak kepala udang vanamei. Metode penelitian yaitu eksperimental laboratoris menggunakan Rancangan Acak Lengkap (RAL) terdiri dari 4 perlakuan konsentrat tomat yaitu 0%, 10%, 20% dan 30% dengan tiga kali ulangan. Data dianalisis menggunakan ANOVA dan dilakukan uji lanjut BNJ. Hasil penelitian menunjukkan bahwa semakin tinggi konsentrat tomat maka semakin tinggi nilai rendemen, asam glutamat, kadar protein, kelarutan, hedonik dan nilai warna a* b*, sebaliknya nilai kadar air dan L* semakin rendah seiring meningkatnya konsentrat tomat. Karakteristik perisa bubuk ekstrak kepala udang vanamei dengan konsentrat tomat yang berbeda memberikan pengaruh terhadap nilai rendemen, asam glutamat, kadar protein, kadar air, kelarutan, hedonik dan warna. Penambahan konsentrat tomat terhadap karakteristik perisa bubuk ekstrak kepala udang vanamei menunjukkan hasil yang berpengaruh nyata dengan konsentrat tomat yang terbaik yaitu 20% dengan nilai rendemen 16,26% ± 0,72, asam glutamat 20,64% ± 0,71, kadar protein 28,33% ± 0,77 kadar air 7,13% ± 0,40%, kelarutan 91,21% ± 0,20, nilai hedonik sebesar 4,342<µ> 4,378, dan nilai warna L* 54,30 ± 0,21, a* 8,31 ± 0,30 dan b* 14,90 ± 0,75.
KARAKTERISTIK FISIKOKIMIA SABUN CAIR DENGAN PENAMBAHAN KOLAGEN TULANG IKAN AIR TAWAR YANG BERBEDA
Authors: Wijayanti Widya , Darmanto Yudhomenggolo Sastro , Susanto Eko
Published: May 2023

Limbah tulang ikan air tawar memiliki kadar protein yang berpotensi untuk diolah sebagai kolagen. Penelitian ini bertujuan untuk mengetahui kualitas sabun cair dengan penambahan kolagen tulang ikan air tawar yang berbeda. Bahan baku yang digunakan yaitu tulang ikan Patin (Pangasius sp.), tulang ikan Nila (Oreochromis niloticus), dan tulang ikan Lele (Clarias batrachus). Pembuatan sabun cair dilakukan dengan penambahan kolagen konsentrasi terbaik 0,6%. Parameter yang diamati adalah hedonik, pH, kestabilan busa, alkali bebas, dan viskositas. Hasil penelitian menunjukkan bahwa penambahan kolagen tulang ikan Patin, Nila, dan Lele mempunyai pengaruh yang berbeda nyata (p<0,05) terhadap pH, kadar alkali bebas, kestabilan busa, viskositas, dan hedonik sabun cair. Berdasarkan hasil penelitian diperoleh produk terbaik yaitu sabun cair dengan penambahan kolagen tulang ikan lele yang memiliki: pH 10,21; kadar alkali bebas 0,042%; kestabilan busa 75,83%; viskositas 1211,67 cP; dan disukai panelis.
PENGARUH KONSENTRASI DAN KOMBINASI JENIS TEPUNG SEBAGAI BAHAN PENGISI TERHADAP MUTU PETIS DARI AIR REBUSAN RAJUNGAN
Authors: Mumtazah Syarifah , Romadhon Romadhon , Suharto Slamet
Published: May 2023

Air rebusan rajungan mengandung berbagai zat gizi terlarut dari rajungan. Pemanfaatan air rebusan rajungan salah satunya dengan mengolah menjadi petis. Petis merupakan produk semi padat yang dikentalkan dari hasil samping perebusan ikan atau udang. Proses pembuatan petis perlu ditambahkan bahan pengisi untuk mengurangi bau amis dan mempercepat proses pemasakan. Bahan pengisi tepung terigu merupakan perlakuan yang paling disukai oleh konsumen, namun menghasilkan tekstur yang kurang kental. Penambahan tepung beras dan tapioka diharapkan mampu memperbaiki tekstur dan mutu petis. Tujuan penelitian ini adalah mengetahui pengaruh konsentrasi dan kombinasi jenis tepung sebagai bahan pengisi terhadap karakteristik petis rajungan. Metode penelitian yang digunakan adalah experimental laboratories menggunakan Rancangan Acak Lengkap Faktorial (RALF) dengan perlakuan perbedaan komposisi (tepung terigu dengan tepung beras dan tepung terigu dengan tepung tapioka) dan konsentrasi (5%; 7,5%; 10%) bahan pengisi serta 3 kali pengulangan. Mutu petis rajungan dilihat melalui uji kadar air, kadar abu, kadar protein, kadar asam glutamat, viskositas, dan hedonik. Hasil penelitian menunjukkan petis rajungan dengan penambahan konsentrasi dan kombinasi jenis tepung yang berbeda berpengaruh nyata (P < 0,05) terhadap mutu kimiawi secara keseluruhan dan hedonik pada parameter kenampakan dan tekstur. Perbedaan konsentrasi dan kombinasi jenis tepung mempengaruhi mutu petis dan bahan pengisi terbaik adalah kombinasi tepung terigu dan tepung tapioka konsentrasi 7,5% dengan nilai kadar air 49,31%; kadar abu 1,02%; kadar protein 10,70%; kadar asam glutamat 5,15%; nilai viskositas 5961cP; dan hedonik 6,92.
PENGARUH PERBEDAAN METODE EKSTRAKSI TERHADAP KARAKTERISTIK TEPUNG TULANG SOTONG (Sepia sp.)
Authors: Rohmah Naili , Kurniasih Retno Ayu , Sumardianto Sumardianto
Published: May 2023

Industri pengolahan sotong meningkat seiring dengan permintaan produk tersebut sebagai komoditas unggulan dalam ekspor. Pengolahan sotong seperti pengolahan fillet sotong dan produk olahan sotong lainnya menyebabkan adanya hasil samping, salah satunya tulang sotong. Kandungan mineral dalam tulang sotong utamanya kalsium dan fosfor dapat dimanfaatkan sebagai tepung tulang sotong. Tujuan penelitian ini yaitu mengkaji pengaruh perbedaan metode ekstraksi terhadap karakteristik tepung tulang sotong serta menentukan metode terbaiknya. Pembuatan tepung tulang sotong dilakukan menggunakan Rancangan Acak Lengkap (RAL) dengan perlakuan perbedaan metode ekstraksi yaitu ekstraksi menggunakan presto dengan aquades selama 3 jam, ekstraksi alkali dengan NaOH 1,5 N selama 2 jam serta gabungan metode presto dan alkali. Masing-masing metode dilakukan 3 kali ulangan. Parameter uji tepung tulang meliputi rendemen, derajat putih, kadar air, kadar protein, kadar abu, kadar kalsium dan kadar fosfor. Data parametrik dianalisis dengan analisis sidik ragam (ANOVA) dan dilanjutkan dengan analisis uji lanjut yaitu Beda Nyata Jujur (BNJ). Hasil penelitian menunjukkan bahwa perbedaan metode ekstraksi berpengaruh nyata (p<5%) terhadap karakteristik tepung tulang sotong. Metode ekstraksi alkali efektif dalam menghasilkan kadar abu 94,14%, kadar kalsium 35,14%, kadar fosfor 0,08%, dengan rendemen 58,20%, derajat putih 85,41%, kadar air 3,02%, serta kadar protein 2,35%.
PENGARUH PENAMBAHAN JENIS GULA YANG BERBEDA TERHADAP KUALITAS PETIS DARI CAIRAN PEMINDANGAN IKAN TONGKOL (Euthynnus affinis)
Authors: Ramandhani Sasti Nuriza , Agustini Tri Winarni , Suharto Slamet
Published: May 2023

ABSTRAKPetis merupakan salah satu jenis bumbu masakan yang diperoleh dari hasil pengentalan air rebusan ikan yang dipanaskan selama waktu tertentu hingga kandungan air berkurang. Petis ikan yang dihasilkan dari cairan pemindangan cenderung memiliki rasa asin karena kadar garam tinggi. Penambahan jenis gula berbeda dalam proses pembuatan petis diharapkan dapat mengurangi rasa asin pada petis dan memenuhi kriteria organoleptik yang disukai konsumen. Tujuan penelitian ini mengetahui pengaruh jenis gula terhadap karakteristik kimia, hedonik petis dan memperoleh informasi jenis gula terbaik dalam pembuatan petis serta disukai oleh konsumen. Metode penelitian yang digunakan adalah experimental laboratories menggunakan Rancangan Acak Lengkap (RAL) dengan 3 perlakuan (gula pasir, gula cair glukosa, dan gula cair fruktosa) dengan 3 kali pengulangan. Parameter uji yang dilakukan yaitu kadar air, kadar protein, kadar garam, asam glutamat, aw dan sensori. Data parametrik (kadar air, kadar protein, kadar garam, asam glutamat dan aw) dianalisa menggunakan uji ANOVA dan uji lanjut BNJ, sedangkan data nonparametrik (hedonik) menggunakan uji Kruskal Wallis dan uji lanjut Mann Whitney. Hasil uji hedonik  menunjukkan bahwa petis dengan penambahan gula cair fruktosa memiliki nilai tertinggi yaitu 7,05<µ<7,44. Penambahan jenis gula berbeda memberikan pengaruh nyata (P≤0,05) terhadap kadar air, kadar asam glutamat serta hedonik (rasa dan tekstur). Perlakuan terbaik yaitu pada penambahan gula cair fruktosa dengan nilai kadar air 24,59%; kadar protein 8,74%; kadar garam 3,89%; kadar asam glutamat 3,52%; nilai aw 0,5, nilai hedonik kenampakan (6,8), aroma (6,83), rasa (7,6) dan tekstur (7,76).
PENGARUH PENAMBAHAN STPP TERHADAP KEMEKARAN KERUPUK IKAN KEMBUNG (Rastrelliger sp.) DENGAN BUBUR RUMPUT LAUT Caulerpa
Authors: Purnama Agung , Sumardianto Sumardianto , Anggo Apri Dwi
Published: May 2023

Kerupuk ikan dengan penambahan rumput laut merupakan salah satu inovasi dalam menambah nilai gizi kerupuk. Rumput laut menambah kadar serat pada kerupuk namun menghambat daya mekar kerupuk. STTP (sodium tripolipospat) adalah alkali fosfat yang mampu menambah daya mekar kerupuk. Tujuan dari penelitian ini adalah untuk mengetahui formulasi terbaik dalam mendapatkan kemekaran dan tekstur kerupuk ikan serta persentase tertinggi kemekaran kerupuk ikan. Desain percobaan dengan Rancangan Acak Lengkap (RAL). Perbedaan konsentrasi menggunakan STPP 0%; 0,1%; 0,3% dan 0,5% dilakukan 3 kali pengulangan. Data analisis menggunakan ANOVA, dilanjutkan dengan uji BNJ untuk parametrik sedangkan Kruskal-Wallis dan Mann Whitney untuk data non parametrik. Kerupuk dengan penambahan STPP memiliki kemekaran linier tertinggi yaitu 52,39±2,15 cm² atau 316%, kerenyahan tertinggi yaitu 1305,39±72,5 gf, kadar air terendah yaitu 10,78±0,20%, kadar protein tertinggi 5,92±0,07%, kadar serat kasar tertinggi yaitu 6,35±0,34%, kadar lemak tertinggi yaitu 0,62±0,23%, dan tingkat kesukaan kerupuk ikan terbaik yaitu 7,441 <µ< 7,443 (suka). Berdasarkan hasil penelitian dapat disimpulkan bahwa penambahan STPP pada kerupuk ikan kembung dan bubur rumput laut Caulerpa memberikan pengaruh nyata (P<5%) terhadap kemekaran, kerenyahan dan tingkat kesukaan.
DBSP: Automatic Incremental View Maintenance for Rich Query Languages
Authors: Budiu Mihai , Chajed Tej , McSherry Frank , Ryzhyk Leonid , Tannen Val
Published: May 2023

Incremental view maintenance (IVM) has long been a central problem in database theory. Many solutions have been proposed for restricted classes of database languages, such as the relational algebra, or Datalog. These techniques do not naturally generalize to richer languages. In this paper we give a general, heuristic-free solution to this problem in 3 steps: (1) we describe a simple but expressive language called DBSP for describing computations over data streams; (2) we give a new mathematical definition of IVM and a general algorithm for solving IVM for arbitrary DBSP programs, and (3) we show how to model many rich database query languages using DBSP (including the full relational algebra, queries over sets and multisets, arbitrarily nested relations, aggregation, flatmap (unnest), monotonic and non-monotonic recursion, streaming aggregation, and arbitrary compositions of all of these). SQL and Datalog can both be implemented in DBSP. As a consequence, we obtain efficient incremental view maintenance algorithms for queries written in all these languages.
Semantics-Aware Dataset Discovery from Data Lakes with Contextualized Column-Based Representation Learning
Authors: Fan Grace , Wang Jin , Li Yuliang , Zhang Dan , Miller Renée J.
Published: May 2023

Dataset discovery from data lakes is essential in many real application scenarios. In this paper, we propose Starmie, an end-to-end framework for dataset discovery from data lakes (with table union search as the main use case). Our proposed framework features a contrastive learning method to train column encoders from pre-trained language models in a fully unsupervised manner. The column encoder of Starmie captures the rich contextual semantic information within tables by leveraging a contrastive multi-column pre-training strategy. We utilize the cosine similarity between column embedding vectors as the column unionability score and propose a filter-and-verification framework that allows exploring a variety of design choices to compute the unionability score between two tables accordingly. Empirical results on real table benchmarks show that Starmie outperforms the best-known solutions in the effectiveness of table union search by 6.8 in MAP and recall. Moreover, Starmie is the first to employ the HNSW (Hierarchical Navigable Small World) index to accelerate query processing of table union search which provides a 3,000X performance gain over the linear scan baseline and a 400X performance gain over an LSH index (the state-of-the-art solution for data lake indexing).
The effects of resistance training to near failure on strength, hypertrophy, and motor unit adaptations in previously trained adults
Authors: Ruple Bradley A. , Plotkin Daniel L. , Smith Morgan A. , Godwin Joshua S. , Sexton Casey L. , McIntosh Mason C. , Kontos Nicholas J. , Beausejour Jonathan P. , Pagan Jason I. , Rodriguez Juan P. , Sheldon Daniel , Knowles Kevan S. , Libardi Cleiton A. , Young Kaelin C. , Stock Matt S. , Roberts Michael D.
Published: May 2023

Limited research exists examining how resistance training to failure affects applied outcomes and single motor unit characteristics in previously trained individuals. Herein, resistance‐trained adults (24 ± 3 years old, self‐reported resistance training experience was 6 ± 4 years, 11 men and 8 women) were randomly assigned to either a low‐repetitions‐in‐reserve (RIR; i.e., training near failure, n = 10) or high‐RIR (i.e., not training near failure, n = 9) group. All participants implemented progressive overload during 5 weeks where low‐RIR performed squat, bench press, and deadlift twice weekly and were instructed to end each training set with 0–1 RIR. high‐RIR performed identical training except for being instructed to maintain 4–6 RIR after each set. During week 6, participants performed a reduced volume‐load. The following were assessed prior to and following the intervention: (i) vastus lateralis (VL) muscle cross‐sectional area (mCSA) at multiple sites; (ii) squat, bench press, and deadlift one‐repetition maximums (1RMs); and (iii) maximal isometric knee extensor torque and VL motor unit firing rates during an 80% maximal voluntary contraction. Although RIR was lower in the low‐ versus high‐RIR group during the intervention (p < 0.001), total training volume did not significantly differ between groups (p = 0.222). There were main effects of time for squat, bench press, and deadlift 1RMs (all p‐values < 0.05), but no significant condition × time interactions existed for these or proximal/middle/distal VL mCSA data. There were significant interactions for the slope and y‐intercept of the motor unit mean firing rate versus recruitment threshold relationship. Post hoc analyses indicated low‐RIR group slope values decreased and y‐intercept values increased after training suggesting low‐RIR training increased lower‐threshold motor unit firing rates. This study provides insight into how resistance training in proximity to failure affects strength, hypertrophy, and single motor unit characteristics, and may inform those who aim to program for resistance‐trained individuals.
On a new class of two-variable functional equations on semigroups with involutions
Authors: EL-Fassi Iz-iddine
Published: May 2023

Let 𝑆 be a commutative semigroup, 𝐾 a quadratically closed commutative field of characteristic different from 2, 𝐺 a 2-cancellative abelian group and 𝐻 an abelian group uniquely divisible by 2.
The goal of this paper is to find the general non-zero solution

f
:

S
2

→
K

f\colon S^{2}\to K

of the d’Alembert type equation

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(

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,
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,

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∈
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,

f(x+y,z+w)+f(x+\sigma(y),z+\tau(w))=2f(x,z)f(y,w),\quad x,y,z,w\in S,

the general non-zero solution

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:

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→
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of the Jensen type equation

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,

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,

f(x+y,z+w)+f(x+\sigma(y),z+\tau(w))=2f(x,z),\quad x,y,z,w\in S,

the general non-zero solution

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:

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2

→
H

f\colon S^{2}\to H

of the quadratic type equation

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+
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f(x+y,z+w)+f(x+\sigma(y),z+\tau(w))=2f(x,z)+2f(y,w),\quad x,y,z,w\in S,

where

σ
,
τ

:

S
→
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\sigma,\tau\colon S\to S

are two involutions.
Optimization of ultra-high pressure-assisted extraction of total phenols from Eucommia ulmoides leaves by response surface methodology
Authors: Ren Xiao-yan , Jin Xue-yuan , Zong Wei
Published: May 2023

The ultra-high pressure-assisted extraction (UHPE) of total phenols from Eucommia ulmoides leaves (TPEU) was optimized and its antioxidant activity on Eucommia ulmoides seed oil was studied. The effects of UHPE pressure, UHPE time, and ethanol concentration on the extraction yield of TPEU were examined by response surface methodology. In addition, TPEU was added to Eucommia ulmoides seed oil, and the effects of TPEU on the antioxidant activity (acid value, peroxide value) of Eucommia ulmoides seed oil during storage were studied. The optimal UHPE conditions were as follows: UHPE pressure, 406 MPa; UHPE time, 8.3 min; and ethanol concentration, 60.2%. Under these UHPE conditions, the yield of TPEU was 7.58%. TPEU had a good antioxidant effect when the TPEU content was 0.06%. The antioxidant effect of TPEU was lower than that of BHA. Both TPEU and BHA have a synergistic effect.
To drop or not to drop? Predicting the omission of the infinitival marker in a Swedish future construction
Authors: Berdicevskis Aleksandrs , Coussé Evie , Koplenig Alexander , Adesam Yvonne
Published: May 2023

We investigate the optional omission of the infinitival marker in a Swedish future tense construction. During the last two decades the frequency of omission has been rapidly increasing, and this process has received considerable attention in the literature. We test whether the knowledge which has been accumulated can yield accurate predictions of language variation and change. We extracted all occurrences of the construction from a very large collection of corpora. The dataset was automatically annotated with language-internal predictors which have previously been shown or hypothesized to affect the variation. We trained several models in order to make two kinds of predictions: whether the marker will be omitted in a specific utterance and how large the proportion of omissions will be for a given time period. For most of the approaches we tried, we were not able to achieve a better-than-baseline performance. The only exception was predicting the proportion of omissions using autoregressive integrated moving average models for one-step-ahead forecast, and in this case time was the only predictor that mattered. Our data suggest that most of the language-internal predictors do have some effect on the variation, but the effect is not strong enough to yield reliable predictions.