bluuebunny/crossref_metadata_2025_split huggingface dataset:
Marcia Lucas
Authors: Kaminski Michael 
Published: October 2024

Though practically erased from the history books at Lucasfilm, Marcia Lucas was an instrumental part in the shaping of George Lucas's early scripts, and was a primary force behind their final form in the editorial stage. Moreover, she had a successful career of her own as a professional editor, and was a key figure in the New Hollywood movement of the 1970s. When their marriage ended on bad terms in 1983, Marcia retired and George went into a state of professional and personal depression. This chapter examines her life and career as an editor, but perhaps more importantly, it investigates the influence Marcia had on her husband and his films, where her vital contributions to film history remain unappreciated, and where her absence changed the direction of George Lucas as a person and a filmmaker.
American Graffiti and More
Authors: Sprengler Christine 
Published: October 2024

With American Graffiti (1973), George Lucas crafted a nascent visual standard that inflected later cinematic engagements with the 1950s. The film also opened up questions about the complex imbrication of nostalgia and history, personal and cultural memory. Starting with a close visual analysis of how Lucas accomplished the look of the film, this chapter considers its reception in the context of the 1970s nostalgia economy. This involves a consideration of how More American Graffiti (1979), released at the end of the decade, adapted and applied some of the deliberately archaic tactics pioneered by Lucas to a different past, namely, the mid 1960s. Finally, it concludes by tracking American Graffiti's legacy and impact on evolving representations of the 1950s.
The Effect of Job Training and Attendance on Employee Performance at Pt Bank Central Asia Regional Office IV Denpasar Area Service Center
Authors: Meganein Dewa Ayu Komang Sonia , Yudistira Cokorda Gede Puta , Sarjana I Made , Kasiani Kasiani , Marheni Lili 
Published: October 2024

Abstract: The problem of cultivating Skills and absenteeism is important to study, because these two things are the fundamental factors that affect employee performance. Job training and attendance are the initial basis for an employee to become skilled in their field and achieve increased performance. So, in this study the authors formulate the main problem, how much job training affects the performance of BCA Regional Office IV Denpasar Service Centre employees, how much Absenteeism affects the performance of BCA Regional Office IV Denpasar Service Centre employees, and how much Job Training and Absentee-ism affect BCA employee performance Kanwil IV Denpasar Service Centre. Data collection methods used are observation, questionnaires and literature study. The samples in this study were 66 employees. The analysis technique used is multiple linear regression analysis. The results of the study show that job training and work absences have a simultaneous effect on performance by 65.5%. The correlation coefficient between job training and absenteeism on performance is a very strong relationship of 0.809. The output of this study is in the form of posters that motivate employees to continue to improve their abilities through job training and maintain discipline through work attendance
Application of the Problem Based Learning Model Combined with Think Pair Share to Improve Conceptual Understanding and Applied Physics Learning Outcomes for Electrical Engineering Students
Authors: Setiawan Doni , Faoziyah Nina , Dalimarta Fahmy Ferdian , Kusaeri Didi 
Published: October 2024

This research aims to improve understanding of physics concepts and learning outcomes of Electrical Engineering students at the Politeknik Muhammadiyah Tegal by using the Problem Based Learning model combined with Think Pair Share on dynamic electrical material. The research instruments used were lecturer and student observation sheets, worksheets and test question sheets. In the analysis of students' conceptual understanding, an increase of 8.58% was obtained from cycle I to cycle II. Meanwhile, in the analysis of student learning outcomes in cycle I, the number of students who passed was 61.76%, and in cycle II the number of students who passed was 82.35%. The results of this research show that the application of the Problem Based Learning model combined with Think Pair Share can improve students' understanding of concepts and learning outcomes.
Uncloneable Quantum Advice
Authors: Broadbent Anne , Karvonen Martti , Lord Sébastien 
Published: October 2024

The famous no-cloning principle has been shown recently to enable a number of uncloneable cryptographic primitives, including the copy-protection of certain functionalities. Here we address for the first time unkeyed quantum uncloneablity, via the study of a complexity-theoretic tool that enables a computation, but that is natively unkeyed: quantum advice. Remarkably, this is an application of the no-cloning principle in a context where the quantum states of interest are not chosen by a random process. We establish unconditional constructions for promise problems admitting uncloneable quantum advice and, assuming the feasibility of quantum copy-protecting certain functions, for languages with uncloneable advice. Along the way, we note that state complexity classes, introduced by Rosenthal and Yuen (ITCS 2022) — which concern the computational difficulty of synthesizing sequences of quantum states — can be naturally generalized to obtain state cloning complexity classes. We make initial observations on these classes, notably obtaining a result analogous to the existence of undecidable problems.
Our proof technique defines and constructs ingenerable sequences of finite bit strings, essentially meaning that they cannot be generated by any uniform circuit family with non-negligible probability. We then prove a generic result showing that the difficulty of accomplishing a computational task on uniformly random inputs implies its difficulty on any fixed, ingenerable sequence. We use this result to derandomize quantum cryptographic games that relate to cloning, and then incorporate a result of Kundu and Tan (arXiv 2022) to obtain uncloneable advice. Applying this two-step process to a monogamy-of-entanglement game yields a promise problem with uncloneable advice, and applying it to the quantum copy-protection of pseudorandom functions with super-logarithmic output lengths yields a language with uncloneable advice.
Special Soundness Revisited
Authors: Wikström Douglas 
Published: October 2024

We generalize and abstract the problem of extracting a witness from a prover of a special sound protocol into a combinatorial problem induced by a sequence of matroids and a predicate, and present a parametrized algorithm for solving this problem.
The parametrization provides a tight tradeoff between the running time and the extraction error of the algorithm, which allows optimizing the parameters to minimize: the soundness error for interactive proofs, or the extraction time for proofs of knowledge.
In contrast to previous work we bound the distribution of the running time and not only the expected running time. Tail bounds give a tighter analysis when applied recursively and a concentrated running time.
The Uber-Knowledge Assumption: A Bridge to the AGM
Authors: Bauer Balthazar , Farshim Pooya , Harasser Patrick , Kohlweiss Markulf 
Published: October 2024

The generic-group model (GGM) and the algebraic-group model (AGM) have been exceptionally successful in proving the security of many classical and modern cryptosystems. These models, however, come with standard-model uninstantiability results, raising the question of whether the schemes analyzed under them can be based on firmer standard-model footing.
We formulate the uber-knowledge (UK) assumption, a standard-model assumption that naturally extends the uber-assumption family to knowledge-type problems. We justify the soundness of UK in both the bilinear GGM and the bilinear AGM. Along the way we extend these models to account for hashing into groups, an adversarial capability that is available in many concrete groups—In contrast to standard assumptions, hashing may affect the validity of knowledge assumptions. These results, in turn, enable a modular approach to security in the GGM and the AGM.
As example applications, we use the UK assumption to prove knowledge soundness of Groth's zero-knowledge SNARK (EUROCRYPT 2016) and of KZG polynomial commitments (ASIACRYPT 2010) in the standard model, where for the former we reuse the existing proof in the AGM without hashing.
Leakage Model-flexible Deep Learning-based Side-channel Analysis
Authors: Wu Lichao , Rezaeezade Azade , Ali-pour Amir , Perin Guilherme , Picek Stjepan 
Published: October 2024

Profiling side-channel analysis has gained widespread acceptance in both academic and industrial realms due to its robust capacity to unveil protected secrets, even in the presence of countermeasures. To harness this capability, an adversary must access a clone of the target device to acquire profiling measurements, labeling them with leakage models. The challenge of finding an effective leakage model, especially for a protected dataset with a low signal-to-noise ratio or weak correlation between actual leakages and labels, often necessitates an intuitive engineering approach, as otherwise, the attack will not perform well.
In this paper, we introduce a deep learning approach with a flexible leakage model, referred to as the multi-bit model. Instead of trying to learn a pre-determined representation of the target intermediate data, we utilize the concept of the stochastic model to decompose the label into bits. Then, the deep learning model is used to classify each bit independently. This versatile multi-bit model can adjust to existing leakage models like the Hamming weight and Most Significant Bit while also possessing the flexibility to adapt to complex leakage scenarios. To further improve the attack efficiency, we extend the multi-bit model to profile all 16 subkey bytes simultaneously, which requires negligible computational effort. The experimental results show that the proposed methods can efficiently break all key bytes across four considered datasets while the conventional leakage models fail. Our work signifies a significant step forward in deep learning-based side-channel attacks, showcasing a high degree of flexibility and efficiency with the proposed leakage model.
Pertarungan Islam Global Dalam Dinamika Politik Indonesia Pasca Reformasi
Authors: Firdaus Mohamad , Hidayat Arief 
Published: October 2024

Tulisan ini hendak membahas mengenai pertarungan Islam global dalam dinamika politik Indonesia pasca reformasi. Perjalanan Islam sebagai agama dari jazirah arab menimbulkan banyak perubahan lansekap di negara-negara lain yang menerimanya sebagai ajaran sebuah agama baru. Konteks Islam global disini mengacu pada adnya penyebaran agama Islam secara universal dengan menembus batas teritorial negara lainnya. Appadurai menyebutkan bahwa globalisasi membawa adanya perubahan pada aras sosio kultural masyarakat dengan menyebarnya pandangan tentang ruang (scape). Dalam praktiknya, universalisme islam ini mendapat beragam perlakuan. Di Indonesia khususnya, arah Islam sebagai ajaran dan lembaga terbagi menjadi pecahan yang sangat multi. Dua besar diantaranya masuk dalam aliran “Islam puritan” dan “Islam kultural”. Mereka yang masuk dalam Islam puritan cenderung pada tafsir lateral mengikuti “kebudayaan asal Islam”, sedangkan yang lebih kultural telah disesuaikan dengan situasi dan kondisi masyarakat. Artikel ini menggunakan metode penelitian kualitatif tekstual dengan menggunakan instrumen tinjauan pustaka yang relevan. Kesimpulan artikel ini didapatkan bahwa globalisme Islam yang ada di Indonesia tidak hanya masuk sebagai agama baru, namun telah menjelma menjadi kekuatan yang digunakan untuk menaklukkan sendi-sendi perikehidupan sosial, politik dan kultural yang ada di Indonesia.
The Significance of International Cooperation on Climate Change Mitigation in Afghanistan
Authors: Akhtar Imranullah 
Published: October 2024

Afghanistan confronts significant issues as a result of climate change, as the nation is susceptible to landslides, floods, droughts, and rising temperatures. Studying how international cooperation influences Afghanistan's attempts to mitigate climate change becomes crucial in light of these challenges. This study delves into the significance of such cooperation and its influence on Afghanistan's climate change policies and governance. To explore this topic, we employed a qualitative research approach along with content analysis, framed within a neoliberal framework. By adopting this approach, we aim to identify and analyze international cooperation on climate change in Afghanistan. The study reveals that international cooperation significantly impacts Afghanistan's climate change policy and governance, aligning with neoliberal institutionalism theory's emphasis on global challenges. Important conclusions from our research can help development partners, policymakers, and groups addressing climate change in Afghanistan. The results highlight the necessity of funding, technical support, and capacity building for the creation of successful policies and initiatives. Afghanistan can improve its resilience to climate change and sustainable development by placing a high priority on international cooperation. Financing, technical support, and opportunities for knowledge sharing would all be necessary for this. In addition to investments in sustainable agriculture, disaster risk reduction, facility training, foreign aid, and renewable energy, Afghanistan needs international funding currently. This article emphasizes the need for international cooperation in Afghanistan's struggle against climate change and the possibility for sustainable development through the exchange of information, operational help, and funding.
MyMS: An Interface for Patient-Reported Outcomes for Finnish Individuals With Multiple Sclerosis
Authors: Hämäläinen Päivi , Viitala Matias , Kuusisto Hanna , Ruutiainen Juhani , Soilu-Hänninen Merja 
Published: October 2024

ABSTRACT

BACKGROUND:
Patient-generated data are a cornerstone of individualized multiple sclerosis (MS) treatment. MyMS, an interface for patient-reported outcomes (PROs) was developed by the Finnish MS Register to enable systematic collection of PROs.

METHODS:
MyMS collects data on demographics, lifestyle factors, disease-related factors, and validated questionnaires, including the Quality of Life Questionnaire (15D), the Multiple Sclerosis Impact Scale (MSIS-29), and the Fatigue Severity Scale (FSS). At the end of 2020, the patient-reported Expanded Disability Status Scale (PREDSS), the EuroQOL-5 Dimension (EQ-5D), the Fatigue Scale for Motor and Cognitive Functions (FSMC), and the Multiple Sclerosis Neuropsychological Questionnaire (MSNQ) were added.

RESULTS:
As of January 1, 2023, 1201 individuals with MS (79% female) have added data to MyMS. Of the validated PRO measures (PROMs), the 15D, MSIS-29, and FSS are the most used. The mean PREDSS score is 3.0 and median disease duration is 6.4 years. According to the existing PROMs, patients report mildly compromised quality of life and problems with fatigue and cognition.

CONCLUSIONS:
The patient interface of the Finnish MS Register consists of data from 17 of 21 counties with well-being services. The interface is used by 10% of Finnish individuals with MS. The addition of the PREDSS, EQ-5D, FSMC, and MSNQ to the interface has increased health care professional and patient interest in the use of PROMs. We suggest that PROs should be integrated into electronic health records to improve shared decision-making and diminish documentation burden.
Effect of Different Growing Media on Shoot Growth of Dragon Fruit Cuttings [Hylocereus undatus L. (Haworth) Britton & Rose]
Authors: Baitha Anup , R.S.Verma  , Dhanka Mahandra Kumar , Choudhary Shikha , Verma Saurabh , Kumar Bipin 
Published: October 2024

The present investigation was carried out under open field conditions at Horticulture Research Farm, Babasaheb Bhimrao Ambedkar University, Lucknow,Uttar Pradesh, India, to determine the effect of different growing media on the shoot growth of dragon fruit cuttings (Hylocereus undatus L.) during the years 2022–23. The experiment was laid out in a randomized complete block design (RBD) with three replications. There were 8 treatments, viz., T1-Soil, T2-Sand, T3-Vermicompost, T4-Coco Peat, T5-Farmyard Manure, T6-Soil+Sand+Farmyard Manure, T7-Soil+ Sand+ Vermicompost and T8-Soil+Vermicompost+Coco Peat. Treatments have shown significant differences among the growth parameters in terms of number of days taken for sprouting, percent sprouting, number of sprouts per cutting, shoot diameter, length of sprout, number of spines/areoles, fresh weight of shoot, and dry weight of shoot. Among the treatment combinations, the least number of days taken for sprouting, maximum percent sprouting, maximum number of sprouts per cutting, maximum sprout and shoot length of stem cutting, maximum increase in diameter of shoot, maximum number of spines/areoles, maximum fresh weight of shoot, and maximum dry weight of shoot were found in treatment T7-Soil+ Sand+ Vermicompost, followed by T8-Soil+ Vermicompost+. Coco peat, while the minimum has been recorded in T1-Soil.
Terrestrial biospheric and oceanic CO2 uptakes estimated from long‐term measurements of atmospheric CO2 mole fraction, δ13C, and δ(O2/N2) at Ny‐Ålesund, Svalbard
Authors: Goto Daisuke , Morimoto Shinji , Ishidoya Shigeyuki , Aoki Shuji , Nakazawa Takakiyo 
Published: May 2017

AbstractSystematic observations of CO2 mole fraction, the isotopic ratio δ13C of CO2, and oxygen to nitrogen ratio (δ(O2/N2)) in the atmosphere have been carried out at Ny‐Ålesund, Svalbard, since 1991, 1996, and 2001, respectively. The CO2 mole fraction shows a clear seasonal cycle superimposed on a secular increase with an average rate of 2.0 ppm yr−1 for the period of 1996–2013. On the other hand, δ13C and δ(O2/N2) decrease secularly at an average rate of −0.020‰ yr−1 for 1996–2013 and −19.9 per meg yr−1 for 2001–2013, respectively. Based on the observed secular trends of the CO2 mole fraction and δ(O2/N2), the average CO2 uptake during 2001–2013 was estimated to be 1.6 ± 0.8 and 2.3 ± 0.5 GtC yr−1 for the terrestrial biosphere and the ocean, respectively. By using the observed CO2 and δ13C, the corresponding CO2 uptakes of 1.3 ± 0.6 and 2.6 ± 0.5 GtC yr−1 were obtained for the same period. The estimates from the two methods are in good agreement with each other. The terrestrial biospheric CO2 uptake derived by the latter method showed large interannual variability in association with El Niño events. On the other hand, the oceanic uptake increased secularly with less interannual variability during 1996–2013.
Contribution of Socioeconomic Status to Racial/Ethnic Disparities in Adverse Pregnancy Outcomes Among Women With Systemic Lupus Erythematosus
Authors: Kaplowitz Elianna T. , Ferguson Sancia , Guerra Marta , Laskin Carl A. , Buyon Jill P. , Petri Michelle , Lockshin Michael D. , Sammaritano Lisa R. , Branch D. Ware , Merrill Joan T. , Katz Patricia , Salmon Jane E. 
Published: May 2017

ObjectiveWe examined rates of adverse pregnancy outcomes (APO) by race/ethnicity among women with systemic lupus erythematosus (SLE), with and without antiphospholipid antibodies (aPL), and whether socioeconomic status (SES) accounted for differences.MethodsData were from the PROMISSE (Predictors of Pregnancy Outcome: Biomarkers in Antiphospholipid Antibody Syndrome and Systemic Lupus Erythematosus) study, a multicenter study that enrolled 346 patients with SLE and 62 patients with SLE and aPL (50% white, 20% African American, 17% Hispanic, 12% Asian/Pacific Islander). Measures of SES were educational attainment, median community income, and community education. Logistic regression analyses were conducted to determine odds of APO for each racial/ethnic group, controlling first for age and clinical variables, and then for SES.ResultsThe frequency of APO in white women with SLE, with and without aPL, was 29% and 11%, respectively. For African American and Hispanic women it was approximately 2‐fold greater. In African American women with SLE alone, adjustment for clinical variables attenuated the odds ratio (OR) from 2.7 (95% confidence interval [95% CI] 1.3–5.5) to 2.3 (95% CI 1.1–5.1), and after additional adjustment for SES, there were no longer significant differences in APO compared to whites. In contrast, in SLE patients with aPL, whites, African Americans, and Hispanics had markedly higher risks of APO compared to white SLE patients without aPL (OR 3.5 [95% CI 1.4–7.7], OR 12.4 [95% CI 1.9–79.8], and OR 10.4 [95% CI 2.5–42.4], respectively), which were not accounted for by clinical or SES covariates.ConclusionThis finding suggests that for African American women with SLE without aPL, SES factors are key contributors to disparities in APO, despite monthly care from experts, whereas other factors contribute to disparities in SLE with aPL.
Surface and proton conductivity properties of electrospun poly(vinyl butyral)/polyaniline nanofibers
Authors: Baştürk Emre , Çakmakçi Emrah , Madakbaş Seyfullah , Kahraman Memet Vezir 
Published: May 2017

AbstractProton‐conductive electrospun nanofibers are promising potential materials for several advanced technological applications such batteries, sensors, and fuel cells. In this work, we prepared poly(vinyl butyral)/polyaniline (PVB/PANI) nanofibers via electrospinning and determined their proton conductivities. Structural characterization of the nanofibers was performed by FTIR analysis. Surface morphology of the nanofibers was determined by SEM and AFM. The addition of PANI significantly affected the fiber morphology, and over 90% reduction (with respect to neat PVB nanofibers) in the average nanofiber diameters was observed. Nanofiber mats were doped with polyphosphoric acid. The proton conductivity of the 2 wt.% PANI containing blend nanofibers was found as 18 × 10−6 S/cm at room temperature and at 100% humidity.
Synthesis and characterization of a high performance polyamide‐6 elastomer based on poly(ether‐block‐amide) multiblock copolymer by reactive processing in torque rheometer
Authors: Lei Yuan , Li Changbing , Fu Xiaowei , Lei Jingxin , Zhou Changlin 
Published: May 2017

AbstractThe polyamide‐6 based poly(ether‐block‐amide) (PEBA) multiblock copolymers were reactively prepared in typical processing equipment, torque rheometer. The reactive processing conditions of PEBA were discussed in details on the base of the tensile strength as the main quantization parameter and the torque rheological curves. The optimized reaction temperature, reaction time, and rotational speed were 150°C, 10 min, and 40 rpm respectively. The chemical structure, tensile properties, thermal transition, thermal stability, water absorption, and solubility in organic solvents of PEBA prepared in optimized reaction conditions were characterized by Fourier transform infrared spectroscopy, tensile testing, differential scanning calorimetry, thermogravimetric analysis, and soaking testing in water and organic solvents. The tensile strength and elongation at break of PEBA are 35.9 MPa and 580% respectively. The glass transition temperature and melting temperature of soft segment of PEBA are −50 and 15°C, respectively; the glass transition temperature and melting temperature of hard segment of PEBA are 50 and 140°C respectively. Meanwhile, the PEBA has low water absorption, robust organic solvent resistance, and good thermal stability. The optimization process of PEBA will give the deep understanding of reactive processing of polymer materials.