bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structural, morphological, and temperature-tuned bandgap properties of single-step thermally evaporated Sb2Se3 thin films
Authors: Terlemezoglu M. 
Published: March 2024

AbstractIn this study, antimony selenide (Sb2Se3) thin films were deposited on a glass substrate through a single-step thermal evaporation process, employing sintered powder as a source material. A detailed investigation of the structural, morphological, and temperature-dependent optical properties of fabricated thin films was performed. The X-ray diffraction (XRD) pattern indicated the presence of the Sb2Se3 phase, characterized by an orthorhombic crystalline structure. Examination through scanning electron microscopy (SEM) revealed a fully covered, void-free, and densely packed morphology on the thin film surface. Raman spectrum of the film showed the vibrational characteristics of Sb2Se3. Transmission spectra of Sb2Se3 thin film were measured at various temperatures within the range of 10–300 K. The analysis of these measurements demonstrated that optical bandgap energy decreases from 1.28 to 1.25 eV as increasing temperature from 10 to 300 K. The variation of bandgap with temperature was accurately characterized by Varshni and Bose–Einstein relations to elucidate bandgap at 0 K, rate of change of bandgap, and Debye temperature. These findings in this study may be useful for advancing the development of Sb2Se3 film-based solar cell technology and its applications in optoelectronics.
Cat bite injuries to the hand and forearm: the impact of antibiotic treatment on microbiological findings and clinical outcome
Authors: Wangler Sebastian , Elias Miriam , Schoepke Linus , Merky Dominique N. , Meier Rahel , Vögelin Esther 
Published: March 2024

Abstract
Introduction
Patients and physicians often underestimate cat bite injuries. The deep and narrow wound seals quickly and provides an environment for the inoculated saliva and bacteria. Interestingly, the literature reports no bacterial growth in the microbiological workup of wound swaps in up to 43%. The time between bite injury and the first clinical presentation, the start of antibiotic treatment and surgical debridement might affect these findings. Therefore, the current project examines if (1) these factors impact the outcome of microbiological results following cat bite injuries and (2) the detection of bacterial growth leads to higher complication rates, longer hospital stays, longer total treatment time, or higher total treatment costs.

Materials and methods
This single-center retrospective study analyzed data from 102 adult patients. All patients received antibiotic and surgical treatment following a cat bite injury. Microbiological samples were collected during surgery in all cases. The time from the bite incident to the first presentation, beginning of antibiotic administration, and surgical debridement was calculated. Demographic data, complication rate, length of hospital stay, total treatment time, and total treatment costs were recorded. (1) A generalized linear model was fitted using the microbiological outcome as the dependent variable. (2) Two groups (negative or positive microbiological results) were formed and statistically compared.

Results
The median age was 50 (SD 16), and 72% were female. (1) The time from the bite incident to the first clinical presentation, antibiotic administration, or surgical treatment was not associated with the outcome of the microbiological result. (2) No significant differences were observed between the two groups.

Conclusions
Our data do not suggest that early antibiotic administration or delayed surgical treatment affects the outcome of the microbiological workup following cat bite injuries to the hand and forearm. The microbiological outcome did not affect the complication rate, treatment time, and total treatment costs.
Enzyme-labeled liquid-based cytology (ELLBC): a new noninvasive diagnostic method for bladder cancers
Authors: Jiang Chao , Li Xiang , Chen Ruilong , Yang Yongliu , Wang Yi 
Published: March 2024

Abstract
Background
Based on liquid-based cytology, we performed an enzyme histochemical staining using acid phosphatase as a marker and termed it ELLBC. The aim of this study was to investigate the value of ELLBC in the diagnosis of bladder cancer.

Methods
Fifty patients who were initially diagnosed with suspected bladder cancers (hematuria or bladder irritation symptoms, urinary ultrasound suggestive of bladder mass) at the Second Affiliated Hospital of Anhui Medical University (Anhui, China) from January 2022 to December 2022 were selected as the study subjects, all of whom underwent ELLBC, CC, and histopathology Histopathology was used as the gold standard to calculate the diagnostic efficacy of ELLBC, CC and ELLBC combined with CC in bladder cancer.

Results
Histopathological examination revealed 35 positive cases in 50 patients, including 15 cases of high-grade uroepithelial carcinoma (HGUC) and 20 cases of low-grade uroepithelial carcinoma (LGUC.) The sensitivity of ELLBC was 82.86%, the specificity was 93.33%, the positive predictive value (PPV) was 96.67%, the negative predictive value (NPV) was 70.00%, and the accuracy was 86.00%; CC had a sensitivity of 37.14%, specificity of 80.00%, PPV of 81.25%, NPV of 35.29%, and accuracy of 50%; ELLBC combined with CC had a sensitivity of 88.57%, specificity of 73.33%, PPV of 88.57%, NPV of 73.33%, and accuracy of 84.00%. The sensitivity and specificity of ELLBC were higher than that of CC, and the difference was statistically significant (p < 0.05), ELLBC combined with CC achieved higher sensitivity, but the diagnostic accuracy decreased. For clinical staging, the diagnostic accuracy was 86.36% for ELLBC and 40.91% for CC in patients in Stage I, and 90.91% for ELLBC and 36.36% for CC in patients in Stage II.

Conclusion
ELLBC has high clinical application value for the diagnosis of bladder cancer and can provide new options and methods for the early screening of bladder cancer.
A context-aware on-board intrusion detection system for smart vehicles
Authors: Micale Davide , Matteucci Ilaria , Fenzl Florian , Rieke Roland , Patanè Giuseppe 
Published: March 2024

AbstractModern vehicles are becoming more appealing to potential intruders due to two primary reasons. Firstly, they are now equipped with various connectivity features like WiFi, Bluetooth, and cellular connections, e.g., LTE and 5G, which expose them to external networks. Secondly, the growing complexity of on-board software increases the potential attack surface. In this article, we introduce CAHOOTv2, a context-sensitive intrusion detection system (IDS), aiming at enhancing the vehicle’s security and protect against potential intrusions. CAHOOTv2 leverages the vehicle’s sensors data, such as the amount of steering, the acceleration and brake inputs, to analyze driver habits and collect environmental information. To demonstrate the validity of the algorithm, we collected driving data from both an artificial intelligence (AI) and 39 humans. We include the AI driver to demonstrate that CAHOOTv2 is able to detect intrusions when the driver is both a human or an AI. The dataset is obtained using a modified version of the MetaDrive simulator, taking into account the presence of an intruder capable of performing the following types of intrusions: denial of service, replay, spoofing, additive and selective attacks. The sensors present in the vehicle are a numerical representation of the environment. The amount of steering, the acceleration and brake inputs given by the driver are based on the environmental situation. The intruder’s input often contradicts the driver’s wishes. CAHOOTv2 uses vehicle sensors to detect this contradiction. We perform several experiments that show the benefits of hyperparameter optimization. Indeed, we use a hyperparameter tuning paradigm to increase detection accuracy combining randomized and exhaustive search of hyperparameters. As a concluding remark, the results of CAHOOTv2 show great promise in detecting intrusions effectively.
Performance of fur clips and livestock markers for identifying vaccinated badgers
Authors: Benton Clare H. , Griffiths Amy L. , Delahay Richard J. 
Published: March 2024

AbstractMarking free-living wild mammals may be desirable during field studies and management interventions; however, doing so presents practical challenges. In the context of disease management interventions, different approaches such as vaccination and culling may be deployed in adjacent areas resulting in a need to identify previously vaccinated individuals to avoid losses of vaccination benefits. Badgers (Meles meles) have been identified as a wildlife reservoir of bovine tuberculosis in several countries. In England, the primary means of controlling disease in badger populations has been culling, although policy also includes the use of badger vaccination. Vaccination and culling can therefore increasingly take place in adjacent areas. The current means of marking vaccinated badgers is to apply a fur clip; however, the performance of this method has not been assessed. In this study, we assessed the field performance of livestock markers not previously trialled on badgers. We also assessed the performance of fur clips in terms of (a) how likely they are to be detected on recapture and (b) their detectability using remote cameras. None of the livestock markers trialled persisted well on badger fur. Detectability of fur clips on re-captured badgers fell to 50% in adult badgers by approximately 3 months from application. In cubs, detectability fell to less than 50% within 3 weeks of application. We suggest it is highly likely that, if vaccination and culling were carried out in adjacent areas and fur clipping was the primary means of determining vaccination status, a proportion of recently vaccinated badgers would be removed, particularly cubs. This has important implications for disease control, and we suggest options for minimising such losses.
Semi-supervised diagnosis of wind-turbine gearbox misalignment and imbalance faults
Authors: Maestro-Prieto Jose Alberto , Ramírez-Sanz José Miguel , Bustillo Andrés , Rodriguez-Díez Juan José 
Published: March 2024

Abstract
Both wear-induced bearing failure and misalignment of the powertrain between the rotor and the electrical generator are common failure modes in wind-turbine motors. In this study, Semi-Supervised Learning (SSL) is applied to a fault detection and diagnosis solution. Firstly, a dataset is generated containing both normal operating patterns and seven different failure classes of the two aforementioned failure modes that vary in intensity. Several datasets are then generated, maintaining different numbers of labeled instances and unlabeling the others, in order to evaluate the number of labeled instances needed for the desired accuracy level. Subsequently, different types of SSL algorithms and combinations of algorithms are trained and then evaluated with the test data. The results showed that an SSL approach could improve the accuracy of trained classifiers when a small number of labeled instances were used together with many unlabeled instances to train a Co-Training algorithm or combinations of such algorithms. When a few labeled instances (fewer than 10% or 327 instances, in this case) were used together with unlabeled instances, the SSL algorithms outperformed the result obtained with the Supervised Learning (SL) techniques used as a benchmark. When the number of labeled instances was sufficient, the SL algorithm (using only labeled instances) performed better than the SSL algorithms (accuracy levels of 87.04% vs. 86.45%, when labeling 10% of instances). A competitive accuracy of 97.73% was achieved with the SL algorithm processing a subset of 40% of the labeled instances.

Graphical abstract
Steps and processes for approaching semi-supervised FDD of wind-turbine gearbox misalignment and imbalance faults
Tumor-associated fibrosis: a unique mechanism promoting ovarian cancer metastasis and peritoneal dissemination
Authors: Fujimoto Hiroki , Yoshihara Masato , Rodgers Raymond , Iyoshi Shohei , Mogi Kazumasa , Miyamoto Emiri , Hayakawa Sae , Hayashi Maia , Nomura Satoshi , Kitami Kazuhisa , Uno Kaname , Sugiyama Mai , Koya Yoshihiro , Yamakita Yoshihiko , Nawa Akihiro , Enomoto Atsushi , Ricciardelli Carmela , Kajiyama Hiroaki 
Published: March 2024

AbstractEpithelial ovarian cancer (EOC) is often diagnosed in advanced stage with peritoneal dissemination. Recent studies indicate that aberrant accumulation of collagen fibers in tumor stroma has a variety of effects on tumor progression. We refer to remodeled fibrous stroma with altered expression of collagen molecules, increased stiffness, and highly oriented collagen fibers as tumor-associated fibrosis (TAF). TAF contributes to EOC cell invasion and metastasis in the intraperitoneal cavity. However, an understanding of molecular events involved is only just beginning to emerge. Further development in this field will lead to new strategies to treat EOC. In this review, we focus on the recent findings on how the TAF contributes to EOC malignancy. Furthermore, we will review the recent initiatives and future therapeutic strategies for targeting TAF in EOC.
On the integral solution of hyperbolic Kepler’s equation
Authors: Calvo M. , Elipe A. , Rández L. 
Published: March 2024

AbstractIn a recent paper of Philcox, Goodman and Slepian, the solution of the elliptic Kepler’s equation is given as a quotient of two contour integrals along a Jordan curve that contains in its interior the unique real solution of the elliptic Kepler’s equation and does not include other complex zeroes. In this paper, we show that a similar explicit integral solution can be given for the hyperbolic Kepler’s equation. With this purpose, we carry out a study of the complex zeros of the hyperbolic Kepler’s equation in order to define suitable Jordan contours in the integrals. Even more, we show that appropriate elliptic Jordan contours can be defined for such integrals, which reduces the computing time. Moreover, using the ideas behind the fast Fourier transform (FFT) algorithm, these integrals can be approximated by the composite trapezoidal rule which gives an algorithm with spectral convergence as a function of the number of nodes. The results of some numerical experiments are presented to show that this implementation is a reliable and very accurate algorithm for solving the hyperbolic Kepler’s equation.
Green Energy Pathways Towards Carbon Neutrality
Authors: Halkos George E. , Aslanidis Panagiotis-Stavros C. 
Published: March 2024

AbstractTrying to reach carbon neutrality is by no means plain sailing in times of energy crisis, price volatility, and war. The European Green Deal (EGD) prioritizes green pathways, but it is not enough when it copes with greenhouse gases (GHGs). The present research utilizes the Malmquist–Luenberger productivity index (MLPI) to estimate advancements in total factor productivity (TFP) in the European Union (EU). The study uses panel data from 1995 to 2019, in addition, there is comparison between two periods: 1995 – 1996 and 2018 – 2019, would provide important information about TFP progress or recession during a turbulent European era. Two MLPI models are applied, one that utilizes only non-renewable energy sources (NRES), while the other adopts renewable energy sources (RES). Encompassing inputs such as: electricity generation, labour force, and gross fixed capital formation (GFCF); desirable output: gross domestic product; and undesirable outputs: carbon dioxide (CO2) and methane (CH4). There is average productivity progress, more specifically the MLPI average productivity for NRES and RES is 2.14% and 7.34% respectively, meaning that the RES adoption leads to greater productivity performance by almost three times. This novel analysis might offer useful and practical information to policymakers through the measuring of TFP in order to effectively attain and accomplish carbon neutrality objectives.
Future opportunities for products derived from black soldier fly (BSF) treatment as animal feed and fertilizer - A systematic review
Authors: Siddiqui Shahida Anusha , Gadge Ankush Subhash , Hasan Muzaffar , Rahayu Teguh , Povetkin Sergey Nikolaevich , Fernando Ito , Castro-Muñoz Roberto 
Published: March 2024

AbstractThe pursuit of novel food products with good nutritional value for both direct and indirect human consumption is crucial. Given the nutritional benefits of insects and the sustainability of this sort of farming, using them as food for farmed animals is a promising alternative. In this regard, the black soldier fly (Hermetia illucens) is most capable of efficiently converting a wide variety of organic materials, from food waste to manure, into insect biomass generating value and closing nutrient loops as they reduce pollution and costs. Their larvae have 29% fat and 42% crude protein, yet they have more saturated fats than most insects. They don't concentrate hazards such as mycotoxins or insecticides. Although rapid development is expected, insects remain underutilized in the animal feed industry mainly due to technical, financial, and regulatory barriers. The social stigmas and legal prohibitions against eating organisms that eat waste are added to extant taboos facing insect consumption. Bridging the knowledge gap is crucial to bring together stakeholders and to better understand the opportunities and challenges of this novel industry, so as to develop guidelines on producing insects on an industrial scale to facilitate the wider use of BSF products as animal feed, and fertilizer.
Renormalized stress-energy tensor on global anti-de Sitter space-time with Robin boundary conditions
Authors: Morley Thomas , Namasivayam Sivakumar , Winstanley Elizabeth 
Published: March 2024

AbstractWe study the renormalized stress-energy tensor (RSET) for a massless, conformally coupled scalar field on global anti-de Sitter space-time in four dimensions. Robin (mixed) boundary conditions are applied to the scalar field. We compute both the vacuum and thermal expectation values of the RSET. The vacuum RSET is a multiple of the space-time metric when either Dirichlet or Neumann boundary conditions are applied. Imposing Robin boundary conditions breaks the maximal symmetry of the vacuum state and results in an RSET whose components with mixed indices have their maximum (or maximum magnitude) at the space-time origin. The value of this maximum depends on the boundary conditions. We find similar behaviour for thermal states. As the temperature decreases, thermal expectation values of the RSET approach those for vacuum states and their values depend strongly on the boundary conditions. As the temperature increases, the values of the RSET components tend to profiles which are the same for all boundary conditions. We also find, for both vacuum and thermal states, that the RSET on the space-time boundary is independent of the boundary conditions and determined entirely by the trace anomaly.
Student sociodemographic and school type differences in teacher-predicted vs. achieved grades for university admission
Authors: Leckie George , Maragkou Konstantina 
Published: March 2024

AbstractIn England, students apply to universities using teacher-predicted grades instead of their final end-of-school A-level examination results. Predicted rather than achieved grades therefore determine how ambitiously students apply to and receive offers from the most selective courses. The Universities and Colleges Admissions Service (UCAS) encourages teachers to make optimistic predictions to motivate students to apply ambitiously and achieve higher grades. However, little is known about variations in optimism across students and schools, as well as the mechanisms behind such variations. If certain groups of students or schools are predicted more optimistically than others, this may distort application, offer, and acceptance rates between these groups. Such distortions have the potential to impact efforts to promote wider participation and enhance social mobility. In this study, we use newly linked administrative education data to show predicted grades are differentially optimistic by student sociodemographic and school characteristics. These variations are often substantial and can only be partially explained by differences in students’ prior achievements, the subjects they studied at A-level, the degree subjects they pursue, and their choices of university and courses. We find less educationally advantaged students are in general more rather than less optimistically predicted, although there are two important exceptions to this trend. Once we control for GCSE score and A-level subject, greater optimism is observed in independent schools and among Oxbridge applications. Thus, differential optimism is positively impacting some of the most educationally advantaged students in the country. Our findings contribute to the growing consensus advocating for reforms to the admissions system, including whereby students can continue to revise their course choices until they receive their achieved grades, and universities only make offers after that date.
Pregeometric Spaces from Wolfram Model Rewriting Systems as Homotopy Types
Authors: Arsiwalla Xerxes D. , Gorard Jonathan 
Published: March 2024

AbstractHow do spaces in physics emerge from pregeometric discrete building blocks governed by computational rules? To address this question we investigate non-deterministic rewriting systems (so-called multiway systems) of the Wolfram model. We express these rewriting systems as homotopy types. Using this new formulation of the model, we motivate how spatial structures are functorially inherited from pregeometric type-theoretic constructions. We show how higher homotopies are constructed from rewriting rules. These correspond to morphisms of ann-fold category. Subsequently, the$$n \rightarrow \infty $$n→∞limit of the Wolfram model rulial multiway system is identified as an$$\infty $$∞-groupoid, with the latter being relevant in light of Grothendieck’s homotopy hypothesis. We then go on to show how this construction extends to the classifying space of rulial multiway systems, which forms a multiverse of multiway systems and carries the formal structure of an$${\left( \infty , 1\right) }$$∞,1-topos. This correspondence to higher categorical structures potentially offers a new way to understand how the kinds of spaces relevant to physics result from pregeometric combinatorial models. The key issue we have addressed in this work is to relate abstract non-deterministic rewriting systems to higher homotopy spaces. A consequence of constructing spaces and geometry synthetically is that it removes the need to make ad hoc assumptions about geometric attributes of a model such as an a priori background or any pre-assigned geometric data. Instead, geometry is inherited functorially from higher structures. This can be particularly useful for formally justifying different choices of underlying spacetime discretization schemes adopted by various models of quantum gravity. We conclude with comments on how our framework of higher category-theoretic combinatorial constructions closely corroborates with other approaches investigating higher categorical structures relevant to the foundations of physics.