bluuebunny/crossref_metadata_2025_split huggingface dataset:
The PLATON pilot-study “Platform for analyzing targetable tumor mutations”: A PLATON network study.
Authors: Vogel Arndt , Zäpf Bianca , Goetze Thorsten Oliver , Westphalen Benedikt , Müller Lothar , Broeckling Sebastian , Moulin Jean-Charles , Potenberg Jochem , Sohm Michael , Gabrysiak Thomas , Heuer Vera , Klump Bodo , Chater Jack , Zeth Matthias , Saborowski Anna , Quader Facher , Michael Felicia , Pauligk Claudia , Amstein Leonie , Al-Batran Salah-Eddin 
Published: June 2021

TPS6598 Background: PLATON Network is designed as a platform to improve personalized therapy based on genomic profiles in gastrointestinal cancer patients. PLATON’s study-design focuses on patient’s molecular profiling and will provide a network web application for interlinking PLATON investigators which integrates information of the participating centers, their patients, the molecular profiles and available clinical trials at PLATON`s study-sites. Methods: The PLATON Network is designed as a permanent open, multicenter, prospective, cohort study with biobanking, with a shared platform infrastructure for associated sub-studies. In a first approach the PLATON Network enrolls within its pilot-study 200 patients in Germany of both sexes and ages over 18 at 40 study sites (NCT04484636) with signed informed consent. All patients of the pilot-study are diagnosed with hepatocellular cancer (HCC), intra- and extrahepatic cholangiocellular carcinoma (CCA), gallbladder carcinoma (GBCA), pancreatic cancer (PDCA) or esophagogastric cancer (EC/GC). At the time of enrolment, patients are within their first-line therapy and no local curative therapy is available. Molecular profiling will be performed with the Foundation Medicine Assays FoundationOne CDx and FoundationOne Liquid CDx. Investigators may use the platform for searching clinical trials matching the individual molecular profile of their patients or may identify a patient, who may be eligible for a study or other treatment options available at the corresponding centers of the PLATON network. The interactive network web application will comprise a dashboard and a moderated chat room to interact for example in a virtual Molecular Tumor Board. The first patient was included on the 25th of November 2020. Up to 12th of February 2021, a total of 36 patients HCC (N = 1), CCA (N = 6), PDCA (N = 12), GBCA (N = 0) and EC/GC (N = 16) were enrolled at 11 study-sites and the results of 29 genetic analyses were completed. All cohorts of the pilot-study are open for recruitments up to a maximum of 40 individuals per diagnostic group. Clinical trial information: NCT04484636.
Phase 3 randomized study of loncastuximab tesirine plus rituximab versus immunochemotherapy in patients with relapsed/refractory (R/R) diffuse large B-cell lymphoma (DLBCL): LOTIS-5.
Authors: Hamadani Mehdi , Linhares Yuliya , Gandhi Mitul , Chung Michael , Adamis Helena , Ungar David , Carlo-Stella Carmelo 
Published: June 2021

TPS7574 Background: Patients (pts) with DLBCL for whom frontline therapy is unsuccessful and who are ineligible for autologous stem cell transplantation have poor outcomes with salvage therapy. Single-agent loncastuximab tesirine (Lonca), an antibody-drug conjugate comprising a humanized anti-CD19 monoclonal antibody conjugated to a pyrrolobenzodiazepine dimer (PBD) toxin, showed antitumor activity and manageable toxicity in pts with R/R B-cell non-Hodgkin lymphoma in a Phase 1 trial (Hamadani et al. Blood 2020; blood.2020007512) and in pts with R/R DLBCL in a Phase 2 trial (Caimi et al. Blood 2020; 136(Suppl 1):35–37). Rituximab (R) is part of standard immunochemotherapy for DLBCL, both as frontline therapy and in subsequent treatments. LOTIS-5 aims to evaluate Lonca + R (Lonca-R) versus (vs) standard immunochemotherapy of R + gemcitabine + oxaliplatin (R-GemOx) in pts with R/R DLBCL. Methods: This is a Phase 3 randomized, open-label, 2-part, 2-arm, multicenter study (NCT04384484). A non-randomized safety run-in (Part 1) will compare the safety of Lonca-R with previous safety data for Lonca after the first 20 pts have completed Cycle 1. Part 2 will be started if no significant increase in toxicity occurs; ̃330 pts will be randomized 1:1 to receive Lonca-R or R-GemOx. The primary objective of the study is to evaluate the efficacy of Lonca-R vs R-GemOx. The primary endpoint is progression-free survival by independent review. Secondary endpoints include overall survival; objective response rate; complete response rate; duration of response; frequency and severity of adverse events; changes from baseline in safety laboratory and clinical variables; concentration and pharmacokinetic parameters of Lonca (conjugated and total antibody, and unconjugated warhead); immunogenicity; and changes in patient-reported outcomes. Time-to-event endpoints will be assessed for the intent-to-treat population using a stratified log-rank test. The dosing regimen of Lonca-R in both parts of the study will be 150 µg/kg Lonca + 375 mg/m2 R every 3 weeks (Q3W) for 2 cycles and then 75 µg/kg Lonca + 375 mg/m2 R for 6 cycles. The dose regimen of R-GemOx in Part 2 will be 375 mg/m2 R, 1000 mg/m2 Gem, and 100 mg/m2 Ox Q2W for 8 cycles. Key inclusion criteria include age ≥18 years; pathologic diagnosis of DLBCL (including pts with DLBCL transformed from indolent lymphoma) or high-grade B-cell lymphoma with MYC and BCL2 and/or BCL6 rearrangements; ≥1 line of prior systemic therapy; not a candidate for stem cell transplantation; and measurable disease per 2014 Lugano Classification. The study opened in September 2020 and enrollment is ongoing. The trial design was presented at 62nd American Society of Hematology Annual Meeting and Exposition, December 5–8, 2020. Research Funding: ADC Therapeutics SA. Clinical trial information: NCT04384484.
DREAM3R: Durvalumab with chemotherapy as first-line treatment in advanced pleural mesothelioma—A phase 3 randomized trial.
Authors: Forde Patrick M. , Nowak Anna K. , Kok Peey-Sei , Brown Chris , Sun Zhuoxin , Anagnostou Valsamo , O'Byrne Kenneth John , Yip Sonia , Cook Alistair , Lesterhuis Willem Joost , Hughes Brett Gordon Maxwell , Pavlakis Nick , Brahmer Julie R. , Kindler Hedy L. , Tsao Anne S. , Zauderer Marjorie Glass , Ramalingam Suresh S. , Stockler Martin R. 
Published: June 2021

TPS8586 Background: Standard first line treatment for unresectable malignant pleural mesothelioma (MPM) is platinum-based chemotherapy with pemetrexed. Two recent, single-arm, phase 2 trials (DREAM1 and PrE05052) combining the PD-L1 inhibitor durvalumab and standard first line cisplatin and pemetrexed (CP) exceeded pre-specified criteria for proceeding to phase 3. DREAM3R aims to determine the effectiveness of adding durvalumab to first line CP chemotherapy in advanced MPM. Methods: Treatment-naïve patients with advanced MPM will be randomised (2:1) to EITHER durvalumab 1500 mg every 3 weeks plus doublet chemotherapy (cisplatin 75 mg/m2 and pemetrexed 500 mg/m2) every 3 weeks for 4-6 cycles, followed by durvalumab 1500 mg every 4 weeks until disease progression, unacceptable toxicity or patient withdrawal; OR doublet chemotherapy alone for 4-6 cycles, followed by observation. The target sample size is 480 patients (320 durvalumab, 160 control) recruited over 27 months, with follow up for an additional 24 months. This provides over 85% power if the true hazard ratio for overall survival is 0.70, with 2-sided alpha of 0.05, assuming a median survival of 15 months in the control group. Key inclusion criteria: MPM of any histological subtype; measurable disease as per RECIST 1.1 modified for mesothelioma (mRECIST 1.1) without prior radiotherapy to these sites; ECOG PS 0-1; and, adequate hematologic, renal, and liver function tests. Key exclusion criteria: prior systemic anticancer treatment for MPM; diagnosis based only on cytology or fine needle aspiration biopsy; contraindication to immunotherapy; and conditions requiring immunosuppressives or corticosteroids. Stratification: Age (18-70 years vs. > 70), sex, histology (epithelioid vs. non-epithelioid), and region (USA vs. ANZ). The primary endpoint is overall survival. Secondary endpoints include progression-free survival; objective tumour response (by mRECIST 1.1 and iRECIST); adverse events; health-related quality of life; and healthcare resource use. Tertiary correlative objectives are to explore and validate potential prognostic and/or predictive biomarkers (including features identified in the DREAM and PrE0505 studies, PD-L1 expression, tumour mutation burden, nuanced genomic characteristics, and HLA subtypes) in tissue and serial blood samples. An imaging databank will be assembled for validation of radiological measures of response, and studies of possible radiomic biomarkers in mesothelioma. Clinical trial information: NCT04334759. and ACTRN 12620001199909.
Toward an Affective Sense of Life: Artificial Intelligence, Animacy, and Amusement at a Robot Pet Memorial Service in Japan
Authors: White Daniel , Katsuno Hirofumi 
Published: May 2021

This essay analyzes the organization of Buddhist memorial services for robot pets in Japan against the backdrop of emerging markets for robots equipped with artificial emotional intelligence. It demonstrates how an evocative “sense of life” (seimeikan) becomes both a target of design for robotics engineers and an affective capacity of robot users who care for and through companion robots. Documenting how users cultivate a sense of amusement toward robots that neither neglects nor negates analytical distinctions between the artificial and the living but rather playfully holds them together in the figure of a living robot, the article illustrates how practices of care become affective tools for understanding life altered by developments in AI. Such findings render animacy as an open and exercisable capacity, responsive to technoscientific change, and generative of theoretical inspiration for how anthropologists might similarly exercise affect as a particularly productive method of fieldwork within machine-inclusive multispecies societies.

抄録
本論文は 感情認識AI（人工知能）を搭載した一般消費者向けロボットの登場を背景に営まれるようになった日本におけるペットロボットの法要について考察するものである。特に「生命感」の喚起がいかにロボット開発におけるデザインのターゲットになると同時に、ユーザーがロボットとケアを介した関係性を結ぶ際の情動的能力の所産の対象にもなっているかということを明らかにする。ロボットと接するなかでユーザー達は分析的に対置される人工物と生命体との違いを無視したり否定したりするのではなく、むしろそれらを享楽的に結合させてロボットの存在を捉えるアミューズメントの心を高めている。この記述を通して、本論文はロボットへのケアの実践が人工知能の発展によって変わりつつある生命のあり方を理解する情動的手段になっていることを描き出す。このような知見は、対象物に生物性や生物らしさを感じるアニマシーの知覚が柔軟で状況に応じて発揮することが可能な能力であり、科学技術の変化にも応じることが出来るということを表しているだけでなく、機械を含むマルチ・スピーシーズ社会における有益なフィールドワークの手法として人類学者自身もどのように情動をうまく取り込むことができるかという理論的な閃きを生成する契機にもなったのである。
Becoming-After: The Lives and Politics of Quinine’s Remains
Authors: Middleton Townsend 
Published: May 2021

This article explores the aftermath of quinine in India. Derived from cinchona, the fever tree, quinine was once malaria’s only remedy—and, as such, vital to colonial power. But it has left grave uncertainty in its wake. Today, little market exists for Indian quinine, but government cinchona plantations established by the British remain in Darjeeling. What will become of these dilapidated plantations and their 50,000 inhabitants is unclear. Crumbling quinine factories and overgrown cinchona may evoke ruination, but these remains are not dead. They have instead become the site of urgent efforts—and a periodically charged politics—to redefine land and life for the twenty-first century. This essay develops an analytics of becoming-after to ask not only, how do empires and human beings become-with world-historical substances like quinine but also, what do we make of life after they run their course?
METODE MODIFIED JACKKNIFE RIDGE REGRESSION DALAM PENANGANAN MULTIKOLINIERITAS (STUDI KASUS INDEKS PEMBANGUNAN MANUSIA DI JAWA TENGAH)
Authors: Arrasyid Arya Huda , Ispriyanti Dwi , Hoyyi Abdul 
Published: May 2021

The human development index is a value where the value showed the measure of living standards comparison in a region. The Human Development Index is influenced by several factors, one of them is the education factor that is the average years of schooling and expected years of schooling. A statistical method to find the correlation between the independent variable and the dependent variable can be conducted using the linear regression method. Linear regression requires several assumptions, one of which is the multicollinearity assumption. If the multicollinearity assumption is not fulfilled, another alternative is needed to estimate the regression parameters. One method that can be used to estimate regression parameters is the ridge regression method with an ordinary ridge regression estimator. Ordinary ridge regression then developed more into several methods, such as generalized ridge regression, jackknife ridge regression, and modified jackknife ridge regression method. The generalized Ridge Regression method causes a reduction to variance in linear regression, while the jackknife ridge regression method is obtained by resampling jackknife process on the generalized ridge regression method. Modified jackknife ridge regression is a combination of generalized ridge regression and jackknife ridge regression method. In this journal, the three ridge regression methods will be compared based on the Mean Squared Error obtained in each method. The results of this study indicate that the jackknife ridge regression method has the smallest MSE value. Keywords: Generalized Ridge Regression, Jackknife Ridge Regression, Modified Jackknife Ridge Regression, Multicolinearity
MODERATING STRUCTURAL EQUATION MODELING DENGAN PARTIAL LEAST SQUARE PADA PEMODELAN PENERIMAAN DAN PENGGUNAAN DOMPET DIGITAL DI KOTA SEMARANG
Authors: Nisa Mukrimatun , Sudarno Sudarno , Sugito Sugito 
Published: May 2021

Digital wallets (e-wallets) are a technology that provides a new perspective for the public on non-cash payments that are far more practical and secure in transactions. The purpose of this study is to determine the factors that influence the success or failure of implementing digital wallets (e-wallets) using the variant-based Structural Equation Modeling method (Partial Least Square). In this decade, an approach has been developed that allows the relationship between an independent variable to the dependent variable which is influenced by other latent variables called Moderating Structural Equation Modeling (MSEM), so this study uses MSEM by measuring it using the ping method. The results of the analysis show that the factors that influence acceptance defined as interest in using the technology are social influences, faciliating conditions and consumer habits. Meanwhile, the factors that influence the use of digital wallets which are defined as usage behavior are interest in use and conditions that facilitate. The use of digital wallets (e-wallets) is also indirectly influenced by social influences, conditions that facilitate and consumer habits. the factor of supporting facilities from the issuer of digital wallets (e-wallets) is a factor that affects directly and indirectly the use of digital wallets (e-wallets). Analysis of Moderating Structural Equation Modeling (MSEM) using the ping method results that experience does not affect the acceptance and use of digital wallets (e-wallets) as moderation Keywords: Acceptance and Use Model, Digital Wallet (E-wallet), Partial Least Square, Moderating Structural Equation Modeling.
PENGARUH TRANSFORMASI DATA PADA METODE LEARNING VECTOR QUANTIZATION TERHADAP AKURASI KLASIFIKASI DIAGNOSIS PENYAKIT JANTUNG
Authors: Aziz Arafa Rahman , Warsito Budi , Prahutama Alan 
Published: May 2021

Learning Vector Quantization (LVQ) is a type of Artificial Neural Network with a supervised learning process based on competitive learning. Despite the absence of assumptions in LVQ is an advantage, it can be a problem when the predictor variables have big different ranges.This problems can be overcome by equalizing the range of all variables by data transformation so that all variables have relatively same effect. Heart Disease UCI dataset which used in this study is transformed by several transformation methods, such as minmax, decimal scaling, z-score, mean-MAD, sigmoid, and softmax. The result show that the six transformed data can provide better LVQ classification accuracy than the raw data which has 75.99% for training performance accuracy. LVQ classification accuracy with data transformation of minmax, decimal scaling, z-score, mean-MAD, sigmoid, and softmax are 89.16%, 88.22%, 89.7%, 90.1%, 88.17% and 92.18%. Based on the One-way ANOVA test and DMRT post hoc test known that there are significant differences between the results of the classification with data transformations and raw data in 0,05 significant level of α. It is also known that the best data transformation methods are softmax for training and sigmoid for testing. Keywords: heart disease, neural network, learning vector quantization, classification, data transformation
PERBANDINGAN METODE OPTIMASI UNTUK PENGELOMPOKAN PROVINSI BERDASARKAN SEKTOR PERIKANAN DI INDONESIA (Studi Kasus Dinas Kelautan dan Perikanan Indonesia)
Authors: Sulistiyawan Edy , Hapsery Alfisyahrina , Arifahanum Lucky Junita Ayu 
Published: May 2021

The fisheries sector has an important role in supporting the food security chain, where the world's protein needs can be met by fisheries resources, both from capture fisheries and aquaculture. There are several fisheries sectors including fishing companies, capture fisheries production, number of ships, types and size of cultivated land. Therefore a statistical analysis is needed to increase the potential of fisheries in Indonesia. Data on the fisheries sector used in this study from the Indonesian Central Statistics Agency in 2018, which included the 2016 fisheries sector with 34 observation units in Indonesia. By using cluster analysis K-Means aims to group provinces in Indonesia based on the fisheries sector so that several groups are formed which will show the characteristics of each group. There are three determinations of the optimum number of clusters, namely the Elbow method, Silhouette method, and GAP Statistics. The results showed that optimum clusters were formed in 2 clusters, with the best Elbow and Silhouette methods. Where the first cluster is a region that shows a low value of the fisheries sector consisting of 30 provinces this is due to inadequate infrastructure and use that is not optimal while cluster 2 regions that have great potential in the Indonesian fisheries sector in 2016 as many as 4 provinces namely West Java, Java Central, East Java, and South Sulawesi as dominating capture fisheries production and aquaculture. Keywords: Fisheries Sector, K-Means Cluster Analysis, Elbow Method, Silhoutte Method and GAP Statistics.
PEMODELAN TRANSFORMASI FAST-FOURIER PADA VALUASI OBLIGASI KORPORASI (Studi Kasus: PT. Bank Danamon Tbk, PT. Bank CIMB Niaga Tbk, dan PT. Bank UOB Indonesia Tbk)
Authors: Chairunnnisa Ubudia Hiliaily , Hoyyi Abdul , Yasin Hasbi 
Published: May 2021

The basic assumption that is often used in bond valuations is the assumption on the Black-Scholes model. The practical assumption of the Black-Scholes model is the return of assets with normal distribution, but in reality there are many conditions where the return of assets of a company is not normally distributed and causing improperly developed bond valuation modeling. The Fast-Fourier Transform model (FFT) was developed as a solution to this problem. The Fast-Fourier Transformation Model is a Fourier transformation technique with high accuracy and is more effective because it uses characteristic functions. In this research, a modeling will be carried out to calculate bond valuations designed to take advantage of the computational power of the FFT. The characteristic function used is the Variance Gamma, which has the advantage of being able to capture data return behavior that is not normally distributed. The data used in this study are Sustainable Bonds I of Bank Danamon Phase I Year 2019 Series B, Sustainable Bonds II of Bank CIMB Niaga II Phase IV Year 2018 Series C, Sustainable Subordinated Bonds II of Bank UOB Indonesia Phase II 2019. The results obtained are FFT model using the Variance Gamma characteristic function gives more precise results for the return of assets with not normal distribution. Keywords: Bonds, Bond Valuation, Black-Scholes, Fast-Fourier Transform, Variance Gamma
PENERAPAN METODE PENGENDALIAN KUALITAS MEWMA BERDASARKAN ARL DENGAN PENDEKATAN RANTAI MARKOV (Studi Kasus: Batik Semarang 16, Meteseh)
Authors: Andini Enggartya , Sudarno Sudarno , Rahmawati Rita 
Published: May 2021

An industrial company requires quality control to maintain quality consistency from the production results so that it is able to compete with other companies in the world market. In the industrial sector, most processes are influenced by more than one quality characteristic. One tool that can be used to control more than one quality characteristic is the Multivariate Exponentially Weighted Moving Average (MEWMA) control chart. The graph is used to determine whether the process has been controlled or not, if the process is not yet controlled, the next analysis that can be used is to use the Average Run Length (ARL) with the Markov Chain approach. The markov chain is the chance of today's event is only influenced by yesterday's incident, in this case the chance of the incident in question is the incident in getting a sampel of data on the production process of batik cloth to get a product that is in accordance with the company standards. ARL is the average number of sample points drawn before a point indicates an uncontrollable state. In this study, 60 sample data were used which consisted of three quality characteristics, namely the length of the cloth, the width of the cloth, and the time of the fabric for the production of written batik in Batik Semarang 16 Meteseh. Based on the results and discussion that has been done, the MEWMA controller chart uses the λ weighting which is determined using trial and error. MEWMA control chart can not be said to be stable and controlled with λ = 0.6, after calculating, the value is obtained Upper Control Limit (BKA) of 11.3864 and Lower Control Limit (BKB) of 0. It is known that from 60 data samples there is a Tj2 value that comes out from the upper control limit (BKA) where the amount of 15.70871, which indicates the production process is not controlled statistically. Improvements to the MEWMA controller chart can be done based on the ARL with the Markov Chain approach. In this final project, the ARL value used is 200, the magnitude of the process shift is 1.7 and the r value is 0.28, where the value of r is a constant obtained on the r parameter graph. The optimal MEWMA control chart based on ARL with the Markov Chain approach can be said to be stable and controlled if there is no Tj2 value that is outside the upper control limit (BKA). The results of the MEWMA control chart based on the ARL with the Markov Chain approach show that the process is not statistically capable because the MCpm value is 0.516797 and the MCpmk value is 0.437807, the value indicates a process capability index value of less than 1. Keywords: Handmade batik, Multivariate Exponentially Weighted Moving Average (MEWMA), Average Run Length (ARL), Capability process.