bluuebunny/crossref_metadata_2025_split huggingface dataset:
Germany: Urban Farming as an Innovation and Application Environment of an Agile Start-Up Mindset
Authors: Thiessen Thomas , Neuhaus Gerrit 
Published: July 2024

AbstractTaking the future field of urban farming as an example, the chapter deals with the question of how start-ups and companies can open up new markets through innovative capability in the face of massive social challenges. The focus is on urban farming as an innovative business model for the food sector and possible criteria for sustainable urban development. On the basis of current practical examples, the urban farming market will be made tangible and the interface of the topic area with sustainability will be discussed. Thus, potentials for emerging markets will be made visible as well as the broad spectrum of stakeholders involved. At the same time, the challenges for sustainability-oriented innovations are described. The chapter gives an outlook on how the different stakeholders (clients, companies, initiatives, city administrations), driven by a specific “start-up mindset” and supported by the open innovation approach, can be involved in the development of sustainable urban farming.
Challenges for Start-Ups and SME in the Twenty-First Century
Authors: Verkuil Arie Hans , Milesi Angela 
Published: July 2024

AbstractThe following essay examines the mission of the School of Business at the University of Applied Sciences Northwestern Switzerland and the key question of what pro-socially oriented entrepreneurs can contribute through start-ups and SMEs to meeting the challenges of the twenty-first century. The mission is: “We educate innovative, responsible specialists and managers for an interconnected and ever-changing world.” Along the mission, it defines what can be understood by “innovative and responsible specialists and managers.” Next, exemplary challenges in the twenty-first century are identified under the keywords “interconnected” and “dynamic” world. Finally, the answer to the guiding question of the essay follows. With its fundamental character, this essay addresses besides other interested readers in particular business students and wants to stimulate them to think and discuss the orientation and the benefit of their “mission-based” education.
Pro-social and Other Motivations of Innovative Start-Ups
Authors: Milow Uta , Verkuil Arie Hans 
Published: July 2024

AbstractStart-ups can contribute to improving the sustainability of business activities in our society. In this study, start-ups that participated in the Swiss Innovation Challenge, a business plan competition, were examined regarding their motivation to found a company. The research question is, which role pro-social motivations of entrepreneurs play in the founding of a start-up. This was examined with an analysis of the start-ups’ motivations in general and secondly with a detailed analysis of their sustainability orientation. First, in a literature review of possible categories of motivations, these were identified: financial motives, self-realization and identity, recognition and status, better working conditions, family tradition, and a pro-social sustainability motivation. Then, semi-structured interviews were conducted with the start-up teams and qualitatively analyzed. Many of the teams mentioned identification with the project and self-realization, this was the dominant motive. While most of the start-ups were profit-oriented, several interviewees also mentioned sustainability motives, with varying priorities. The range of sustainability aspects was particularly wide, also due to the very different business models. Founding teams that included sustainability aspects into their business generally had a higher sustainability orientation. Thus, raising the awareness of sustainable management issues, education, and training could improve the sustainability impact of start-ups.
Sustainable Entrepreneurship: A Cross-Country Comparison
Authors: Reineke Rolf-Dieter , Gottschall Oliver 
Published: July 2024

AbstractGlobally, the focus on ESG (environment, social, and governance) related issues has increased significantly in recent years. According to recent research by McKinsey & Company, more than 90% of S&P 500 companies now publish ESG reports, while inflows into sustainable funds rose 14-fold in 2021 to reach USD 70 billion, compared to just USD 5 billion 3 years earlier (Perez et al. 2022).Asia is no exception, with a growing number of Asian countries committed to setting emission-reduction targets and companies racing to capture a USD 5 trillion opportunity in green business building (Balasubramanian et al. 2022).
The Political, Economic, and Social Drivers of Responsible Sourcing Standards
Authors: Farooki Masuma , Graf Alexander , Endl Andreas , Degreif Stefanie 
Published: July 2024

AbstractThis chapter explores the societal drivers pushing for more responsible sourcing practices and behaviours and the pathways that were adopted to advocate for these changes. Underlying concepts promoting better governance, fair share of value, and securing and protecting the rights of vulnerable stakeholders resulted in several standards and tools to improve and monitor corporate performance. From sustainability guidelines to certification schemes and eventually legislation, this chapter drills down to the common denominator within these approaches and how they drive more responsible sourcing practices. These approaches included building awareness and increasing transparency around the environmental, social, governance, and economic impacts of operations. Civil society organisations and leading private and public sector actors, through advocacy and collaboration, influenced powerful actors within supply chains to enact change. Advocates provided recommendations for what responsible behaviours and objectives should be undertaken. Others constructed assurance mechanisms to evidence that change has taken place.
On reversible DNA codes over the ring $${\mathbb {Z}}_4[u,v]/\langle u^2-2,uv-2,v^2,2u,2v\rangle$$ based on the deletion distance
Authors: Dinh Hai Q. , Ashraf Mohammad , Rehman Washiqur , Mohammad Ghulam , Asim Mohd 
Published: July 2024

AbstractLet$${\mathfrak {R}}= {\mathbb {Z}}_4[u,v]/\langle u^2-2,uv-2,v^2,2u,2v\rangle$$R=Z4[u,v]/⟨u2-2,uv-2,v2,2u,2v⟩be a ring, where$${\mathbb {Z}}_{4}$$Z4is a ring of integers modulo 4. This ring$${\mathfrak {R}}$$Ris a local non-chain ring of characteristic 4. The main objective of this article is to construct reversible cyclic codes of odd lengthnover the ring$${\mathfrak {R}}.$$R.Employing these reversible cyclic codes, we obtain reversible cyclic DNA codes of lengthn, based on the deletion distance over the ring$${\mathfrak {R}}.$$R.We also construct a bijection$$\Gamma$$Γbetween the elements of the ring$${\mathfrak {R}}$$Rand$$S_{D_{16}}.$$SD16.As an application of$$\Gamma ,$$Γ,the reversibility problem which occurs in DNAk-bases has been solved. Moreover, we introduce a Gray map$$\Psi _{\hom }:{\mathfrak {R}}^{n}\rightarrow {\mathbb {F}}_{2}^{8n}$$Ψhom:Rn→F28nwith respect to homogeneous weight$$w_{\hom }$$whomover the ring$${\mathfrak {R}}$$R. Further, we discuss theGC-content of DNA cyclic codes and their deletion distance. Moreover, we provide some examples of reversible DNA cyclic codes.
Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing
Authors: Gilal Nauman Ullah , Qaraqe Marwa , Schneider Jens , Agus Marco 
Published: July 2024

AbstractFood computing has emerged as a promising research field, employing artificial intelligence, deep learning, and data science methodologies to enhance various stages of food production pipelines. To this end, the food computing community has compiled a variety of data sets and developed various deep-learning architectures to perform automatic classification. However, automated food classification presents a significant challenge, particularly when it comes to local and regional cuisines, which are often underrepresented in available public-domain data sets. Nevertheless, obtaining high-quality, well-labeled, and well-balanced real-world labeled images is challenging since manual data curation requires significant human effort and is time-consuming. In contrast, the web has a potentially unlimited source of food data but tapping into this resource has a good chance of corrupted and wrongly labeled images. In addition, the uneven distribution among food categories may lead to data imbalance problems. All these issues make it challenging to create clean data sets for food from web data. To address this issue, we present AutoCleanDeepFood, a novel end-to-end food computing framework for regional gastronomy that contains the following components: (i) a fully automated pre-processing pipeline for custom data sets creation related to specific regional gastronomy, (ii) a transfer learning-based training paradigm to filter out noisy labels through loss ranking, incorporating a Russian Roulette probabilistic approach to mitigate data imbalance problems, and (iii) a method for deploying the resulting model on smartphones for real-time inferences. We assess the performance of our framework on a real-world noisy public domain data set, ETH Food-101, and two novel web-collected datasets, MENA-150 and Pizza-Styles. We demonstrate the filtering capabilities of our proposed method through embedding visualization of the feature space using the t-SNE dimension reduction scheme. Our filtering scheme is efficient and effectively improves accuracy in all cases, boosting performance by 0.96, 0.71, and 1.29% on MENA-150, ETH Food-101, and Pizza-Styles, respectively.
Efficacy of injection of autologous adipose tissue in the treatment of patients with complex and recurrent fistula-in-ano of cryptoglandular origin
Authors: Guillaumes S. , Hidalgo N. J. , Bachero I. , Pena R. , Nogueira S. T. , Ardid J. , Pera M. 
Published: July 2024

Abstract
Background
Adipose tissue injections, a rich source of mesenchymal stem cells, have been successfully used to promote anal fistula healing. This study aimed to investigate the efficacy of adipose tissue injection in treating patients with complex and recurrent fistulas of cryptoglandular origin.

Methods
We conducted a prospective, single-center, open-label, non-randomized, interventional clinical trial from January 2020 to December 2022. We enrolled nine patients, who were evaluated after at least 12 months of follow-up. All patients had seton removal, fistula tract excision or curettage, and a mucosal flap if possible or, alternatively, an internal opening suture. We used a commercially available system to collect and process adipose tissue prior to injection. This system allowed the collection, microfragmentation, and filtration of tissue.

Results
Selected cases included six men and three women with a median age of 42 (range 31–55) years. All patients had an extended disease course period, ranging from 3 to 13 (mean 6.6) years, and a history of multiple previous surgeries, including two to eight interventions (a mean of 4.4 per case). All fistulas were high transsphincteric, four cases horseshoe and two cases with secondary suprasphincteric or peri-elevator tract fistulas. Six cases (66%) achieved complete fistula healing at a mean follow-up of 18 (range 12–36) months. Three cases (33.3%) experienced reduced secretion and decreased anal discomfort.

Conclusions
In patients with complex and recurrent fistulas, such as the ones described, many from palliative treatments with setons, the adjuvant injection of adipose tissue might help achieve complete healing or improvement in a significant percentage of cases.

ClinicalTrials
The study protocol was prospectively registered on ClinicalTrials.gov (NCT 04750499).
The EQ-5D-3L valuation study for Bermuda: using an on-line EQ-VT protocol
Authors: Bailey Henry , Roudijk Bram , Brathwaite Ricky 
Published: July 2024

Abstract
Background
In many countries, methods of economic evaluation and Health Technology Assessment are used to inform healthcare resource allocation decisions. These approaches often require EQ-5D health outcomes measures. This study aimed to create an EQ-5D-3L value set for Bermuda from which EQ-5D-5L Crosswalk values could be obtained.

Methods
Respondents in Bermuda were recruited locally. A team of Trinidad-based interviewers with prior EQ-5D-3L valuation experience conducted valuation interviews on-line using the EQ-VT protocol. Respondents completed composite time-trade off (cTTO) and discrete choice experiment (DCE) tasks. A hybrid model that included both the cTTO and DCE data was estimated. An EQ-5D-5L crosswalk value set was then created from the EQ-5D-3L index values. Coefficients in the resulting crosswalk model were compared with those of crosswalk and valuation studies from other countries.

Results
The valuation tasks were completed by a near-representative sample of 366 adult Bermuda citizens. Half of the respondents reported being in state 11111. The lowest EQ VAS and EQ-5D-3L index values were 20 and – 0.120 respectively. The hybrid model produced all logically consistent and statistically significant coefficients that in turn produced index values that were very similar to those obtained in a preliminary model (MAD of 0.027).

Discussion
The on-line EQ-VT valuation study was successfully conducted in Bermuda and the values therein can now be used for economic analysis in Bermuda. The Bermuda values differed considerably from those of the other countries against which they were compared. Challenges were encountered with recruitment for an on-line survey in a small population.
Resistance to FOXM1 inhibitors in breast cancer is accompanied by impeding ferroptosis and apoptotic cell death
Authors: Kumar Sandeep , Ziegler Yvonne , Plotner Blake N. , Flatt Kristen M. , Kim Sung Hoon , Katzenellenbogen John A. , Katzenellenbogen Benita S. 
Published: July 2024

Abstract
Purpose
Cancer treatments often become ineffective because of acquired drug resistance. To characterize changes in breast cancer cells accompanying development of resistance to inhibitors of the oncogenic transcription factor, FOXM1, we investigated the suppression of cell death pathways, especially ferroptosis, in FOXM1 inhibitor-resistant cells. We also explored whether ferroptosis activators can synergize with FOXM1 inhibitors and can overcome FOXM1 inhibitor resistance.

Methods
In estrogen receptor-positive and triple-negative breast cancer cells treated with FOXM1 inhibitor NB73 and ferroptosis activators dihydroartemisinin and JKE1674, alone and in combination, we measured suppression of cell viability, motility, and colony formation, and monitored changes in gene and protein pathway expressions and mitochondrial integrity.

Results
Growth suppression of breast cancer cells by FOXM1 inhibitors is accompanied by increased cell death and alterations in mitochondrial morphology and metabolic activity. Low doses of FOXM1 inhibitor strongly synergize with ferroptosis inducers to reduce cell viability, migration, colony formation, and expression of proliferation-related genes, and increase intracellular Fe+2 and lipid peroxidation, markers of ferroptosis. Acquired resistance to FOXM1 inhibition is associated with increased expression of cancer stem-cell markers and proteins that repress ferroptosis, enabling cell survival and drug resistance. Notably, resistant cells are still sensitive to growth suppression by low doses of ferroptosis activators, effectively overcoming the acquired resistance.

Conclusion
Delineating changes in viability and cell death pathways that can overcome drug resistance should be helpful in determining approaches that might best prevent or reverse resistance to therapeutic targeting of FOXM1 and ultimately improve patient clinical outcomes.
Functional and clinical roles of stromal PDGF receptors in tumor biology
Authors: Strell Carina , Rodríguez-Tomàs Elisabet , Östman Arne 
Published: July 2024

AbstractPDGF receptors play pivotal roles in both developmental and physiological processes through the regulation of mesenchymal cells involved in paracrine instructive interactions with epithelial or endothelial cells. Tumor biology studies, alongside analyses of patient tissue samples, provide strong indications that the PDGF signaling pathways are also critical in various types of human cancer. This review summarizes experimental findings and correlative studies, which have explored the biological mechanisms and clinical relevance of PDGFRs in mesenchymal cells of the tumor microenvironment. Collectively, these studies support the overall concept that the PDGF system is a critical regulator of tumor growth, metastasis, and drug efficacy, suggesting yet unexploited targeting opportunities. The inter-patient variability in stromal PDGFR expression, as being linked to prognosis and treatment responses, not only indicates the need for stratified approaches in upcoming therapeutic investigations but also implies the potential for the development of PDGFRs as biomarkers of clinical utility, interestingly also in settings outside PDGFR-directed treatments.
Effect of acetylation on wood-water interactions studied by sorption calorimetry
Authors: Digaitis Ramūnas , Wadsö Lars , Fredriksson Maria , Thybring Emil E. 
Published: July 2024

AbstractSorption of water has a profound effect on the material properties of wood. The uptake of water vapour in wood and other materials releases more heat than the condensation of vapour to liquid water. This excess energy provides insights to the interactions and energy state of the absorbed water molecules. Modification of wood by acetylation is a common way of altering the wood-water interactions; however, very few data exist on how this and other types of modification affect the energy state of absorbed water in wood. This study is the first to use sorption calorimetry on modified wood to explore the effect of acetylation on wood-water interactions. Acetylation decreased the strength of the interactions between wood and water as seen from a decrease in differential enthalpy of mixing, both overall and in the dry state. It appears that acetylation removes or hinders the most-energetic interactions or bonding configurations of water in wood, perhaps because acetylation reduces the number of water-accessible hydroxyls more than it reduces the amount of absorbed water molecules.
Radiological characterization of the tailings of an abandoned copper mine using a neural network and geostatistical analysis through the Co-Kriging method
Authors: Expósito-Suárez V. M. , Suárez-Navarro J. A. , Caro A. , Sanz M. B. , Hernaiz G. , González-Sanabria A. , Suárez-Navarro M. J. , Jordá-Bordehore L. , Chamorro-Villanueva H. , Arlandi M. , Benavente J. F. 
Published: July 2024

AbstractThe radiological characterization of soil contaminated with natural radionuclides enables the classification of the area under investigation, the optimization of laboratory measurements, and informed decision-making on potential site remediation. Neural networks (NN) are emerging as a new candidate for performing these tasks as an alternative to conventional geostatistical tools such as Co-Kriging. This study demonstrates the implementation of a NN for estimating radiological values such as ambient dose equivalent (H*(10)), surface activity and activity concentrations of natural radionuclides present in a waste dump of a Cu mine with a high level of natural radionuclides. The results obtained using a NN were compared with those estimated by Co-Kriging. Both models reproduced field measurements equivalently as a function of spatial coordinates. Similarly, the deviations from the reference concentration values obtained in the output layer of the NN were smaller than the deviations obtained from the multiple regression analysis (MRA), as indicated by the results of the root mean square error. Finally, the method validation showed that the estimation of radiological parameters based on their spatial coordinates faithfully reproduced the affected area. The estimation of the activity concentrations was less accurate for both the NN and MRA; however, both methods gave statistically comparable results for activity concentrations obtained by gamma spectrometry (Student's t-test and Fisher's F-test).
Traditional ecological knowledge for monitoring Anaphalis javanica (DC.) Sch.Bip. (Asteraceae) in Bromo Tengger Semeru National Park, Indonesia
Authors: Susanto Denni , Nugroho Prasetyo , Numata Shinya 
Published: July 2024

Abstract Traditional ecological knowledge (TEK) possessed by indigenous communities offers a vital source of information regarding the status and threats faced by species. Anaphalis javanica (DC.) Sch.Bip. commonly known as Javanese edelweiss is a culturally significant species in Indonesia’s mountainous regions, yet conservation efforts for it remain limited. We utilized TEK to assess the status and threats to the Javanese edelweiss in Bromo Tengger Semeru National Park, Indonesia. The research aims to assess the distribution, abundance, population trends, and threats faced by Javanese edelweiss using TEK. We interviewed 641 individuals from seven Tengger villages near the park to gather data on the distribution, status, and threats facing the Javanese edelweiss, contributing to conservation efforts. Data were analyzed using generalized linear mixed models and ordinal logistic regression. TEK regarding the Javanese edelweiss was extensive, as 96.3% of respondents recognized the plant. A majority (73.2%) had observed Javanese edelweiss in the wild, yet a significant portion (85%) perceived it as “very rare” or “rare.” Furthermore, 50% of respondents reported a decline in its population. Variations in sighting frequency, perceived abundance, and population trends across different locations provide crucial insights for identifying priority areas and shaping community-based conservation strategies for Javanese edelweiss. This research underscores the importance of integrating TEK into conservation planning, emphasizing community involvement for effective and sustainable biodiversity conservation.
Blame and Proportionality
Authors: Johansson Werkmäster Marta , Werkmäster Jakob 
Published: July 2024

AbstractThe ethics of blame includes conditions determining whether an instance of blame is permissible. One generally recognised condition is that blame should be proportionate. If it is not proportionate, that speaks against its permissibility. All the same, what exactly amounts to proportionate blame is currently under-theorised. In this paper, we aim to amend this. More precisely, we distinguish between private and overt blame and highlight some of their differences – e.g., that they aggregate differently. Then, we develop an account of proportional blame and draw out some practical implications of our account.
Persistence or decay of strategic asymmetric dominance in repeated dyadic games?
Authors: Colman Andrew M. , Pulford Briony D. , Crombie Alexander 
Published: July 2024

AbstractIn a dyadic game, strategic asymmetric dominance occurs when a player’s preference for one strategy A relative to another B is systematically increased by the addition of a third strategy Z, strictly dominated by A but not by B. There are theoretical and empirical grounds for believing that this effect should decline over repetitions, and other grounds for believing, on the contrary, that it should persist. To investigate this question experimentally, 30 participant pairs played 50 rounds of one symmetric and two asymmetric 3 × 3 games each having one strategy strictly dominated by one other, and a control group played 2 × 2 versions of the same games with dominated strategies removed. The strategic asymmetric dominance effect was observed in the repeated-choice data: dominant strategies in the 3 × 3 versions were chosen more frequently than the corresponding strategies in the 2 × 2 versions. Time series analysis revealed a significant decline in the effect over repetitions in the symmetric game only. Supplementary verbal protocol analysis helped to clarify the players’ reasoning and to explain the results.