bluuebunny/crossref_metadata_2025_split huggingface dataset:
An innovation of high protein biscuit incorporation of jackfruit seed flour, millet seed, and eel for stunting prevention
Authors: Ratri P R , Yuanta Y , Puspita S D , Rusdiarti  
Published: January 2025

Abstract
Stunting is still a focus of attention for the Indonesian government. Indonesia is rich in local food which can be developed into healthy supplementary food (PMT). This study aimed to develop a high protein biscuit as a supplementary feeding formula (PMT) with higher quality and highly nutritious. The method of this research is an experimental laboratory with five distinct formulations for comparative analysis. This research analyzed the organoleptic, and chemical quality of biscuits. The chemical analysis was carried out using the proximate test and the results are compared to SNI 01-7111.2-2005 in a quantitative descriptive manner. Five levels of treatment consisting of the main ingredients: jackfruit seed flour, millet seed, and eel with the composition were graded. The additional ingredients are sugar, butter, egg yolks, milk powder, and vanilla. The organoleptic test showed the best formulation is F4 with the highest recapitulation value in aroma (90%), flavor (90%), and texture (95%). The proximate analysis reveals the F4 formulation also showed a higher value of protein content (12,44% ± 0,01) than other formulas. The conclusion of this study is the biscuits made from jackfruit seed flour, millet seed, and eel have the potential to be developed into high-protein biscuits.
Determining consumer preferences for orange attributes: a conjoint analysis approach at the teaching factory, politeknik negeri jember
Authors: Napitupulu Tia Sofiani , Sumarlina  , Nadhirah Aulia , Marseva Amalia Dwi , Bena Kinanti Lintang Anis , Ferinta Angel 
Published: January 2025

Abstract
Oranges are one of the most widely cultivated and easily accessible horticultural products in the market. At the Teaching Factory (TeFa) Kebun Inovasi, Politeknik Negeri Jember, a variety of horticultural products, including oranges, are produced to support educational and income-generating activities. This study aimed to identify consumer preferences for orange attributes, focusing on appearance, taste, and price, using a conjoint analysis approach. Conducted at the Teaching Factory (TeFa) Kebun Inovasi Politeknik Negeri Jember, this research collected data from 124 respondents to evaluate consumer choices based on peel color, size, taste, and price attributes. The results showed that the most preferred attributes were small-sized oranges with orange-colored peels and a sweet-tart taste, while price was the least important factor influencing preferences. Statistical analysis confirmed that size was the most crucial attribute, followed by peel color, taste, and price. These findings indicate that future product development and marketing strategies should prioritize small-sized oranges with visually appealing orange peels and a balanced sweet-tart flavor to meet consumer demands effectively. The study concludes that a focused product strategy could increase market acceptance and competitiveness, especially when considering potential consumers outside the local community of Politeknik Negeri Jember.
Applications of 18650 lithium-ion batteries pack in 3 kw electric vehicles
Authors: Zain A T , Suranto D D , Budiprasojo A , Karimah C N , Azhar F A , Haryanto M D 
Published: January 2025

Abstract
One of the important components in the development of electric vehicles is battery. Battery conditions must be monitored in real-time. This research begins with assembling a 18650 Lithium-ion battery pack with a maximum capacity of 83.5V. A PZEM-017 is used to calculate the value of voltage and current of the battery. In this study, Arduino Atmega 2560 is used for microcontroller and LCD display to show the measurement results. Before being applied to electric vehicle, the measurement and monitoring system needs to be calibrated first. The callibration results show that the Voltage and Current sensors have maximum error under 2% (0.31% for Voltage and 1.56% for Current). While the minimum precisions are 99.59% for voltage and 98.10% for current. This measurement and monitoring system has been successfully applied to 3KW electric vehicle. Where the measurement results show that the increase in driving distance and driver weight will be proportional to the increase in energy consumption from the battery. The electric motor, as a source of vehicle propulsion, will work longer and harder. The highest decrease in voltage value occurred when the distance was 1.8 km and the driver’s weight was 83kg at 3.8V with a power consumption of 136.29Wh.
Feature Extraction of Digital Image Processing for Optimization Chicken Egg Quality Classification
Authors: Perdanasari L , Etikasari B , Ayuninghemi R , Widianta M D , Utomo B 
Published: January 2025

Abstract
Manual external egg quality testing often faces various problems, one of which is the low level of accuracy. Testing processes that rely on human ability to identify eggshell defects can produce inconsistent results. So more efficient and accurate quality testing method is needed, namely imaging technology. Using digital imaging to evaluate egg quality offers advantages, including the ability to automatically and consistently detect shell defects. In applying digital image classification, good training data is needed to get accurate classification results, so the aim of this research is to extract chicken egg color features as training data to optimize the classification system. The method used on classifying chicken eggs based on shell color is feature extraction based on color in HSV (Hue Saturation Value) and RGB (Red Green Blue). Research results obtained 95 image data of chicken eggs consisting of 61 Grade A eggs with average RGB value of 75.39 and average HSV value of 0.36, 28 Grade B eggs with average RGB value of 87.92 and average HSV value is 0.35, and 6 Grade C eggs have average RGB value of 92.36 and average HSV value of 0.33, with color extraction in HSV and RGB spaces.
Strong correlations and disorder driven metal to insulator transition in high entropy (MoVNbW)S2 monolayer
Authors: Badawy Khaled , Zheng Lianxi , Singh Nirpendra 
Published: January 2025

Abstract
Combining quantum confinement and high entropy in the recently synthesized two-dimensional (2D) high entropy transition metal (TM) dichalcogenides offers a platform for unique and unexplored electronic properties. Using density functional theory and tight-binding Hamiltonians, we have explored the role of disorder and strong electronic correlations on the metal-to-insulator transitions of (MoVNbW)S2 monolayer. Our GGA+U results identify that the 1H phase is a half-metal that undergoes a metal-to-insulator transition in the spin (

↑

) channel with a Mott gap of 0.18 eV. The strongly correlated V-3d states drive the metal-to-insulator transition by suppressing the long-range TM−TM hopping. In addition, the 1H phase exhibits strong short-range ferromagnetism via the superexchange interactions of TM−V pairs, with localized magnetic moments on V atoms in the range of 1.3 ∼ 1.6µ

B
. In contrast, geometric distortion in the 1T phase drives the metal-to-insulator transition by altering the charge density, opening a band gap of 0.37 eV. The 1T phase exhibits localized magnetic moments on V atoms (1.7 ∼ 1.9µ

B
), with superexchange interactions occurring only between V−V pairs. Our findings contribute to understanding the complex interplay between disorder and strong electronic correlations in 2D high entropy TM dichalcogenides and provide a pathway for tailoring the electronic and magnetic properties of 2D high entropy materials.
Accelerating multipartite entanglement generation in non-Hermitian superconducting qubits
Authors: Gashu Feyisa Chimdessa , You J-S , Ku Huan-Yu , Jen H H 
Published: January 2025

Abstract
Open quantum systems are susceptible to losses in information, energy, and particles due to their surrounding environment. One novel strategy to mitigate these losses is to transform them into advantages for quantum technologies through tailored non-Hermitian quantum systems. In this work, we theoretically propose a fast generation of multipartite entanglement in non-Hermitian qubits. Our findings reveal that weakly coupled non-Hermitian qubits can accelerate multiparty entanglement generation by thousands of times compared to Hermitian qubits, in particular when approaching the 2
n
-th order exceptional points of n qubits in the

P

T

−

symmetric regime. Furthermore, we show that Hermitian qubits can generate GHZ states with a high fidelity more than 0.9995 in a timescale comparable to that of non-Hermitian qubits, but at the expense of intense driving and large coupling constant. Our approach is scalable to a large number of qubits, presenting a promising pathway for advancing quantum technologies through the non-Hermiticity and higher-order exceptional points in many-body quantum systems.
Semi-supervised EEG-based emotion recognition method by optimal transport distribution matching
Authors: Hamdan Baida , Aghdasi Hadi S. , Salehpour Pedram 
Published: January 2025

Abstract
Large volumes of labeled data are needed for accurate emotion recognition from Electroen-cephalography (EEG) signals, however labeling EEG signals needs careful trial recordings and professional analysis, which is costly and time-consuming. However, the majority of EEG-based deep learning methods for emotion recognition are fully supervised. To over-come this issue, Semi-Supervised Learning (SSL) emerges as a promising solution as it requires only a limited amount of labeled data and can learn additional information from a large set of unlabeled ones. This study introduces a new distribution consistency regularization be-tween the labeled and unlabeled EEG segments based on optimal transport (OT) distance, which results in a robust semi-supervised EEG-based emotion algorithm. This regulariza-tion enhances the quality of pseudo-labels generated, enhancing the performance of the emo-tion classifier in an SSL paradigm. Moreover, the proposed method bridges the gap between EEG-based emotion recognition and image classification tasks by introducing appropriate augmentations for EEG signals. The DEAP and SEED datasets are used to evaluate the effica-cy of our method for binary and multi-class emotion recognition tasks. The study reveals that the proposed strategy consistently outperforms peer methods by a large margin across vari-ous quantities of labeled data.
State-level variation drives wolf management in the northwestern United States
Authors: Merz Leandra , Bergmann Nicolas T , Brown Casey L , Martin Jeff Vance , Wardropper Chloe B , Bruskotter Jeremy T , Carter Neil H 
Published: January 2025

Abstract
Recovered and recovering carnivore populations in Europe and North America can pose risks to some human livelihoods like livestock ranching. These risks can motivate wildlife managers to lethally remove carnivores—decisions that are often controversial and poorly understood. We used a 13-year dataset on gray wolves (Canis lupus) in the northwestern United States (Montana, Idaho, Washington, and Oregon) to analyze how social, demographic, and environmental variables influence lethal removal of wolves at the county and state levels. We found that state-level differences are a major driver of lethal removal decisions at the county level. The percentage of federally owned and protected lands was also positively correlated with lethal removal. Predation of livestock by wolves was not significantly correlated with wolf removals in Idaho, but was in Montana, Washington, and Oregon. Our results stress the need to make transparent the process by which recovering populations of carnivores are managed to enhance the legitimacy of management policies.
Temporal legacies of coal mining in the West Coast, New Zealand: path-dependency or path-creation?
Authors: Connelly Sean , Nel Etienne , Floyd Alison 
Published: January 2025

Abstract
Global energy transition and decarbonisation efforts in the face of climate change present a new challenge for coal-based resource communities. While many resource-based communities and coal mining communities have become accustomed to the boom-bust cycles of resource extraction, the transition to alternative energy sources presents unique challenges to coal mining communities. In this paper, we document the long process of transition in the coal mining town of Blackball in New Zealand. Blackball has a long history of mining, yet it is also a community where the local mines on which the town depended have been closed for 50 years. The legacy and heritage of coal mining has since shaped efforts at diversification and revitalization, highlighting the tensions between path-dependency and new path creation in the shaping of the future of Blackball. We draw on concepts from evolutionary economic geography to highlight how iterative processes of path creation and path dependency have played out and identify the important role of community agency and external support in mediating those processes. The temporal component of Blackball’s coal transition presents useful lessons for other mining communities which currently face closure.
Reducing transmission expansion by co-optimizing sizing of wind, solar, storage and grid connection capacity
Authors: Manocha Aneesha , Mantegna Gabriel , Patankar Neha , Jenkins Jesse D 
Published: January 2025

Abstract
Expanding transmission capacity is likely a bottleneck that will restrict variable renewable energy (VRE) deployment required to achieve ambitious emission reduction goals. Interconnection and inter-zonal transmission buildout may be displaced by the optimal sizing of VRE to grid connection capacity and by the co-location of VRE and battery resources behind interconnection. However, neither of these capabilities is commonly captured in macro-energy system models. We develop two new functionalities to explore the substitutability of storage for transmission and the optimal capacity and siting decisions of renewable energy and battery resources through 2030 in the Western Interconnection of the United States. Our findings indicate that modeling optimized interconnection and storage co-location better captures the full value of energy storage and its ability to substitute for transmission. Optimizing interconnection capacity and co-location can reduce total grid connection and shorter-distance transmission capacity expansion on the order of 10% at storage penetration equivalent to 2.5%–10% of peak system demand. The decline in interconnection capacity corresponds with greater ratios of VRE to grid connection capacity (an average of 1.5–1.6 megawatt (MW) PV:1 MW inverter capacity, 1.2–1.3 MW wind:1 MW interconnection). Co-locating storage with VREs also results in a 9%–13% increase in wind capacity, as wind sites tend to require longer and more costly interconnection. Finally, co-located storage exhibits higher value than standalone storage in our model setup (up to ∼43%–45%). Given the coarse representation of transmission networks in our modeling, this outcome likely overstates the real-world importance of storage co-location with VREs. However, it highlights how siting storage in grid-constrained locations can maximize the value of storage and reduce transmission expansion.
Timely Cash
Authors: Gentilini Ugo 
Published: January 2025

Abstract
Cash transfers, or the provision of money to people by the state, reach hundreds of millions of people worldwide. But when did these transfers start, and how did they spread over countries and centuries? What did past practices look like, and how did they evolve? Why, despite compelling evidence, are policymakers sometimes skeptical about cash transfers? Have similar concerns been raised in the past, and how were they resolved? Timely Cash explores these questions by tracing cash transfers over history, codifying diversity in experiences, and identifying recurrent patterns. In doing so, the volume may help illuminate the roots of modern cash transfer dilemmas and reveal how the past can offer surprising lessons for contemporary debates.
Social and Political Stability
Authors: Gentilini Ugo 
Published: January 2025

Abstract
An examination of social and political dimensions of cash transfers could take an infinite number of shapes. Conscious of such challenge, the chapter addresses three dimensions of a much vaster domain. First, it provides a rapid review of how moral and religious precepts have underpinned cash transfer provisions. The picture that emerges is a nuanced, diverse approach within religious creeds on key questions around deservingness and administration of assistance. Second the chapter explores how cities and countries have addressed the thorny issue of “vagrancy.” Societies have been wrestling with debates on if and how to assist local “beggars” and migrant “strangers”: practices range from paying vagrants to leave to forced deportation, and from regulating begging to corporal punishments. The third section of the chapter slices the political dimensions in different parts: these include the use of cash transfers to reduce riots and maintain political stability; to cement racial discriminations and elevate the social status of administrators; and to bolster political consensus. It also offers some reflections on the degree of political ownerships emerging in contexts of recent cash transfers introduction. Furthermore, the chapter illustrates the politics behind the failed adoption of a national minimum income guaranteed program.
Where Do We Go from Here?
Authors: Gentilini Ugo 
Published: January 2025

Abstract
The chapter sets out summary reflections—four devoted to “looking back” and another four geared at “looking ahead.” The former considerations envision an array of issues around how different trajectories of reform shared a common goal; the conflation of causes and effects, and the role of history in providing a sense of direction in causality; the likely competing goals of addressing “needs” and reducing “rolls”; and explaining the stickiness of narratives. These issues may provide some indication for navigating the future of cash transfers. Stylized considerations are also laid out for prospective experiences. As such, the “looking ahead” section discusses the implications from continuity in practices; the importance of dispelling four long-standing and recent “myths”; the risks stemming from the increasing technocratic nature of cash transfer provisions; and the “big question” of poverty inherency in economic systems and the role of cash transfers within them.
Political Automation
Authors: Albrecht Eduardo 
Published: January 2025

Abstract
Governments, once staffed exclusively with human bureaucrats, now routinely use AI-based software to gather information about citizens and make decisions that impact their lives. In many nations, AI determines the level of privacy a person can enjoy, how far they can travel, what public benefits they may receive, and what they can and cannot say publicly. This amounts to a phenomenon of political automation rapidly materializing globally and begs the question: What input do citizens have in how these machines think? The book explores this question in various domains—including policing, national security, and international peacekeeping. Via interviews with individuals active in civil society groups across several geographic contexts, the book seeks to achieve an understanding of popular attempts to interact with this novel form of algorithmic governance. It emerges that if citizens wish to have rights and representation in a future increasingly characterized by political automation, then a new institution is needed. The book proposes the idea of a Third House, a virtual chamber that legislates exclusively on AI in government decision-making and is based on principles of direct democracy. Digital citizens, AI powered replicas of ourselves, would act as our personal representatives to this Third House a virtual chamber that legislates exclusively on AI in government decision-making and is based on principles of direct democracy, unlike existing upper and lower houses that are representative. Digital citizens, AI powered replicas of ourselves, would act as our personal emissaries to this Third House. Deploying political automation without such an institution will result in the gradual sunsetting of participatory systems of government, and perhaps of yet more significant concern, the start of an era in which citizens, having abdicated governance in favor of AI without clear mechanisms for oversight, find they no longer need to trust their conscience on matters of public policy.
Kenya
Authors: Albrecht Eduardo 
Published: January 2025

Abstract
This chapter includes interviews with Alphonce Shiundu, editor of the Kenyan office of the organization Africa Check, and Lilian Olivia Orero, founder of Safe Online Women Kenya, an organization empowering women and girls through digital literacy education. In the interview with Shiundu he describes the impact of disinformation on public debate in Kenya, the potential misuse of data-collection technologies and their effect on civil rights, and the sensitive role of multilateral organizations in the region. In Orero’s interview she discusses the use of data-collection technologies by foreign actors and the potential for interference and rights violations. She also expresses concern about bias in data collection, and details the need for digital literacy and new regulatory frameworks.
A Third House
Authors: Albrecht Eduardo 
Published: January 2025

Abstract
Over the course of this book we have learned that political machines are consolidating power, stifling participatory democracy, and reducing the role of autonomous judgment. This chapter argues that such a trend is likely to intensify as AI technologies allow state authorities to further penetrate into people’s private lives and influence behavior. It suggests that current legal frameworks and definitions of rights are inadequate to protect citizens in the age of datafication and that new political institutions are needed. The chapter proposes that the threat of algocracy—or government by algorithm—may be countered via the creation of a “Third House,” an institution that legislates for and over us as “digital citizens.” This institution is described in some detail and located within broader historical and anthropological trends, particularly those pointing toward an increased emphasis on direct democracy.
Religion and Abortion Attitudes
Authors: Adamczyk Amy 
Published: January 2025

Abstract
This chapter examines religion’s role in shaping public opinion about abortion around the world. Researchers have conducted most studies on attitudes about abortion in Christian-majority nations, where religion is often key for shaping disapproval. When looking across the world and at different religions (e.g., Buddhism, Islam), religion, as conventionally assessed, is still a driving force for abortion disapproval. Likewise, residents living in nations with higher levels of religious importance, like the United States, are more likely to have abortion views that are shaped by the religious culture surrounding them. Surprisingly, there are few differences across the major religions once religious importance enters the picture. While Chinese respondents did not talk about religion shaping disapproval, they spoke about it as helping some women cope or rationalize abortion decisions, and as contributing to the valuing of male children over females.