bluuebunny/crossref_metadata_2025_split huggingface dataset:
Harnessing AI to Optimize Thought Records and Facilitate Cognitive Restructuring in Smartphone CBT: An Exploratory Study
Authors: Furukawa Toshi A. , Iwata Susumu , Horikoshi Masaru , Sakata Masatsugu , Toyomoto Rie , Luo Yan , Tajika Aran , Kudo Noriko , Aramaki Eiji 
Published: July 2023

Abstract
Background
Effective cognitive restructuring (CR) requires identification of automatic thoughts that underlie experienced emotions. However, accurate recording of thoughts and emotions is challenging when CR is provided in internet cognitive-behavior therapy (iCBT). This study investigated the potential use of the artificial intelligence (AI) including the natural language processing (NLP) to facilitate CR offered in iCBT.

Methods
We applied the Japanese Text-to-Text Transfer Transformer (T5), one of the most advanced Large Language Models for the NLP,to records of thought-feeling pairs provided by participants in two randomized controlled trials of iCBT. We conducted threefold cross-validated prediction of self-reported feelings based on recorded thoughts. We examined the validity of the predictions by checking them against the human expert judgments and by the efficacy when the thought records were subjected to CR.

Results
1626 participants provided 4369 though-feeling records. The overall prediction accuracy was 73.5%. The self-reported feelings matched the human expert judgments more frequently when they were correctly predicted by the T5 than not (90% vs 37.5%, 95%CI of difference: 34.8 to 70.2%). When subjected to CR, the correctly predicted thought-feeling pairs led to greater reductions in negative feelings than the incorrectly predicted pairs (− 1.54 vs − 1.43 on a scale of 0 to 5, 95%CI of difference: 0.03 to 0.19).

Conclusions
A new CR module of an iCBT application can incorporate this model and advise the users to revisit and revise their automatic thoughts to reflect their feelings more accurately. Whether such an iCBT application can ultimately lead to greater reductions in depression is to be examined in a future randomized trial.
Fast slope algorithm with the use of vectorization and parallelization for multicore architectures
Authors: Bylina Beata , Bylina Jarosław , Chabudziński Łukasz , Karpowicz Karol , Klisowski Michał , Oleszczuk Piotr , Potiopa Joanna , Stpiczyński Przemysław 
Published: July 2023

AbstractThe slope calculation algorithm is one of the most widely used geospatial algorithms employing the 3x3 moving window technique (along with calculation of aspect, curvature and flow direction). This work presents an approach consisting of transforming a slope algorithm from a sequential form into a version that can exploit vector and parallel traits of multicore architectures with vector instructions. This approach allows us to take advantage of the potential of the modern multicore processors. The basic idea for optimizing the 3x3 moving window computation is to split the equation used to calculate the result into parts that operate on data that are known to exist in adjacent memory locations. The research was conducted on two multicore architectures without the change in the code — the older architecture was Sandy Bridge and the newer one was Haswell (with more cores). The efficiency of the developed slope algorithm was verified in practice with the use of DEM files of the same resolution but of different sizes. We showed through the numerical experiments that our approach gives better time performance than the original algorithm (and other tools) — and with no loss of accuracy.
ACEI/ARB and beta-blocker therapies for preventing cardiotoxicity of antineoplastic agents in breast cancer: a systematic review and meta-analysis
Authors: Gao Yu , Wang Ruiting , Jiang Jinchi , Hu Yueyao , Li Haijing , Wang Yong 
Published: July 2023

AbstractAnthracyclines and trastuzumab are widely used to treat breast cancer but increase the risk of cardiomyopathy and heart failure. With the use of trastuzumab and anthracycline-containing medications, this study intends to evaluate the effectiveness and security of current treatments against cardiotoxicity. We conducted a systematic review of randomized controlled trials (RCTs), which used at least one angiotensin-converting enzyme inhibitor (ACEI), angiotensin receptor blocker (ARB), or beta-blocker (BB) to prevent cardiotoxicity of antineoplastic agents for breast cancer, in 4 databases (PubMed, Cochrane Library, EMBASE, Web of Science) from inception to 11 May 2022, without language restrictions. The outcome of interest was left ventricular ejection fraction (LVEF) and adverse events. Stata 15 and R software 4.2.1 were used to perform all statistical analyses. The Cochrane version 2 of the risk of bias tool was used to assess the risk of bias, and the grading of recommendations assessment, development, and evaluation (GRADE) assessment was used to appraise the quality of the evidence. Fifteen randomized clinical studies with a total of 1977 patients were included in the analysis. The included studies demonstrated statistically significant LVEF in the ACEI/ARB and BB treatment groups (χ2 = 184.75, I2 = 88.6%, p = 0.000; SMD 0.556, 95% CI 0.299 to 0.813). In an exploratory subgroup analysis, the benefit of experimental agents on LVEF, whether anthracyclines or trastuzumab, was prominent in patients treated with ACEIs, ARBs, and BBs. Compared to placebo, ACEI/ARB and BB treatments in breast cancer patients protect against cardiotoxicity after trastuzumab and anthracycline-containing medication treatment, indicating a benefit for both.
Facilitating the Success of Women’s Early Career Grants: A Local Solution to a National Problem
Authors: Stoop Chatanika , Belou Rebecca , Smith Jessi L. 
Published: July 2023

AbstractGrant funding is essential to the advancement of science, technology, engineering and math (STEM) fields with certain grants viewed as especially prestigious and career formative. The goal of this project was twofold: first to describe the gender demographics of the national winners of two prestigious grants and second, to document the impact of an educational program aimed at improving the success for women in STEM fields in a local setting. In Study 1, we analyzed publicly available national data to document gender gaps in National Science Foundation’s Faculty Early Career Development Program (CAREER) and National Institutes of Health’s K01 awards from 2008-2021. Results showed that, while the ratio of K01 awards favored women, the ratio of men-to-women CAREER awardees favored men. In Study 2, we implemented a grant-writing program for CAREER awards based in self-determination theory at one university and analyzed its impact on funding success. Results comparing before the educational program and after showed that the average annual success rate increased for everyone from 11% to 33%. Women-identified faculty who participated in the program were awarded CAREER funding at a higher rate than would be expected from the number of women eligible to apply or submission rates. While the correlational and observational nature of this study make it impossible to conclude that it was only the educational programs that resulted in the benefits to women’s award success, we encourage other universities to consider adapting the program and enable faculty development around grant success.
Deciduous dentition, tooth replacement, and mandibular growth in the Late Jurassic docodontan Haldanodon exspectatus (Mammaliaformes)
Authors: Martin Thomas , Schultz Julia A. 
Published: July 2023

AbstractThe Late Jurassic docodontan Haldanodon exspectatus from the Guimarota coal mine in Portugal provides important information on the evolution of the dental replacement pattern in mammaliaforms. Haldanodon shows diphyodont replacement of antemolars and non-replacement of molars. Lower incisors are replaced in alternating order with early replacement of i2 and i4, and late replacement of i1 and i3. Upper and lower premolars were replaced sequentially from front to back. In the maxilla and mandible, four deciduous premolar positions are present (dP1-4, dp1-4), but only three permanent premolars (P1/p1, P3/p3, P4/p4) erupt with loss of the dP2/dp2 position. The anterior deciduous premolars (dP1-2/dp1-2) are small and peg-like, dP3-4/dp3-4 are much larger and molariform. The lower canine and dp4 are the last lower teeth to be replaced. The permanent lower premolars are premolariform and consist mainly of large main cusp a. The ultimate permanent lower premolar (p4) erupts at the same time as m4. After replacement of the antemolars, one or two more molars (m5-6) are added at the posterior end of the tooth row of the mandible. Growth of the ramus occurs at the anterior and posterior ends as evident from the much larger permanent canine and addition of m5-6. In the maxilla, all permanent premolars differ morphologically clearly from the molars. The replacing P1 is small and consists mainly of labial cusps A, B, and C. The P3 and P4 are increasingly larger and show a lingual extension with cusps X and Y which is shorter than in the molars. The adult dental formula of Haldanodon is 6I/4i, 1C/1c, 3P/3p, 5 M/5-6m, the deciduous dental formula is ?dI/4di, 1dC/1dc, 4dP/4dp. The tooth eruption sequence in the mandible is m1 → p1 + m2 → i2 + i4 → ?i1 + ?i3 → p3 + m3 → c + p4 + m4 → m5 → m6. Our results corroborate the earlier suggestions that “Peraiocynodon inexpectatus” is based on deciduous lower premolars (dp1-4) of Docodon victor, and that “Peraiocynodon major“ and Cyrtlatherium canei are based on deciduous lower premolars.
Optimality Conditions in DC-Constrained Mathematical Programming Problems
Authors: Correa Rafael , López Marco A. , Pérez-Aros Pedro 
Published: July 2023

AbstractThis paper provides necessary and sufficient optimality conditions for abstract-constrained mathematical programming problems in locally convex spaces under new qualification conditions. Our approach exploits the geometrical properties of certain mappings, in particular their structure as difference of convex functions, and uses techniques of generalized differentiation (subdifferential and coderivative). It turns out that these tools can be used fruitfully out of the scope of Asplund spaces. Applications to infinite, stochastic and semi-definite programming are developed in separate sections.
Why whole body gestational donation must be rejected: a response to Smajdor
Authors: Astobiza Aníbal M. , de Miguel Beriain Íñigo 
Published: July 2023

AbstractAnna Smajdor’s proposal of whole body gestational donation (WBGD) states that female patients diagnosed as brain-dead should be considered for use as gestational donors. In this response, Smajdor’s proposal is rejected on four different accounts: (a) the debated acceptability of surrogacy despite women's autonomy, (b) the harm to dead women ́s interests, (c) the interests of the descendants, and (d) the symbolic value of the body and interests of relatives. The first part argues that WBGD rests on a particular conception of the instrumentalization of bodies that cannot be circumvented simply by the patient’s consent and relinquished autonomy. The second part argues the importance of avoiding any harm to dead women’s interests. The third part identifies the importance of the interest of the foetus in the light of Procreative-Beneficence principle that Smajdor overlooks. And finally, the fourth part considers the symbolic value of the human body and the interest of relatives. The main goal of this commentary is not to show that WBGD cannot be implemented; rather, it is to show that there are not any good arguments in favour of doing so.
Does Living in a Protected Area Reduce Resource Use and Promote Life Satisfaction? Survey Results from and Around Three Regional Nature Parks in Switzerland
Authors: Wiesli Thea Xenia , Przepiorka Wojtek 
Published: July 2023

AbstractRegional nature parks in Switzerland are, for the most part, protected areas that aim to promote sustainable development and residents’ well-being. In recent years, research on regional nature parks and comparable protected areas has focused on questions regarding local populations’ acceptance of such areas, their governance, and their economic effects. However, we know surprisingly little about the impact of protected areas on environmental resource use and life satisfaction, two essential ingredients of sustainable regional development. In this study, we survey people living in and around three regional nature parks in Switzerland on their resource use and life satisfaction (gross samplen = 3358). We propose a novel measurement of resource use based on vignettes describing different lifestyles, which we validate against the carbon footprint obtained for a subsample of our respondents. With these indicators, using multiple regression analyses, we test several hypotheses derived from the literature on the relationship between resource use and life satisfaction in and around protected areas. Contrary to our expectations, we do not find differences in resource use or life satisfaction, or the relationship between resource use and life satisfaction, across park and non-park regions. We discuss potential explanations for our findings and their implications for nature park authorities and future study designs.
Advances in Physical Technologies to Improve Virgin Olive Oil Extraction Efficiency in High-Throughput Production Plants
Authors: Juliano Pablo , Gaber Mohamed A. Fouad M. , Romaniello Roberto , Tamborrino Antonia , Berardi Antonio , Leone Alessandro 
Published: July 2023

AbstractThe olive oil industry has been operating for centuries, but in the last decades, significant attention has gone to the development of physical technologies that enhance the traditional extra virgin olive oil (EVOO) extraction process efficiency. Studies have validated such technologies at industrial scale in medium-sized olive oil factories. These physical technological interventions are aimed to achieve at least one of the following outcomes: (a) higher EVOO throughput by implementing a continuous uniform-heating process alternative to semi-batch malaxation, (b) increase the recovery of EVOO, and (c) enhance the phenolic content in olive oil. The present work identifies the status of what is presently achievable with these physical interventions. A systematic comparison across recent studies was conducted in factories processing beyond 1 T h−1 olive paste. Technologies used in these studies include heat exchangers, microwaves (MW), ultrasound (US), megasonics (MS), and pulsed electric fields (PEF) individually or in combination.
Graphical Abstract
Four undescribed pyrethrins from seeds of Pyrethrum cinerariifolium and their aphidicidal activity
Authors: Zhou Hao-Ran , Lin Li-Wu , Li Zhong-Rong , Peng Xing-Rong , Qiu Ming-Hua 
Published: July 2023

AbstractFour undescribed pyrethrins C-F (1–4) as well as four known pyrethrins (5–8) were isolated from seeds of Pyrethrumcinerariifolium Trev. The structures of compounds 1–4 were elucidated by UV, HRESIMS, and NMR (1H and 13C NMR, 1H-1H COSY, HSQC, HMBC and ROESY), among which the stereostructure of compound 4 was determined by calculated ECD. Furthermore, compounds 1–4 were evaluated for their aphidicidal activities. The insecticidal assay results showed that 1–4 exhibited moderate aphidicidal activities at the concentration of 0.1 mg/mL with the 24 h mortality rates ranging from 10.58 to 52.98%. Among them, pyrethrin D (2) showed the highest aphidicidal activity, with the 24 h mortality rate of 52.98%, which was slightly lower than the positive control (pyrethrin II, 83.52%).
Graphical Abstract
Seasonal, physiological and bacteriological risk factors for subclinical mastitis in dairy cows maintained under different farming conditions
Authors: Sharma Deepak , Kaniamuthan Sankar , Manimaran Ayyasamy , Kumaresan Arumugam , Sivaram Muniandy , Rajendran Duraisamy , Wankhade Pratik Ramesh , Sejian Veerasamy , Banu Sughra 
Published: July 2023

AbstractSubclinical mastitis (SCM) is a major health problem of dairy animals in India and across the globe. An identification of potential risk factors of SCM can help for efficient udder health management in dairy animals. In this study, apparently healthy cows (HF crossbred: n = 45; Deoni: n = 43) were screened for SCM during different seasons through milk somatic cell count (SCC: reference test using 200 × 103 cells/ml as cut off value), California mastitis test (CMT) and differential electrical conductivity (DEC) test at an organized research farm. SCM positive milk samples (n = 34) were inoculated in selective media for Coliform sp., Streptococcus sp. and Staphylococcus sp. and DNA was isolated (n = 10) for species confirmation by 16s rRNA method. Both bivariate and multivariate models were used for risk assessment. We found the cumulative prevalence of 31 and 65% SCM in Deoni and crossbred cows, respectively. Screening of 328 crossbred cows under field conditions revealed point prevalence of 55% SCM. Multivariate analysis revealed stage of lactation (SOL), milk yield in previous lactation and test day milk yield in Deoni cows, as well as parity and mastitis treatment history in current lactation in HF crossbred cows as risk factors. SOL was a significant factor under field conditions. Receiver operated characteristic curve analysis revealed better accuracy of CMT than DEC. We found more mixed infections due to Staphylococcus sp. and Streptococcus sp. in culture, while 16s rRNA based molecular method revealed lesser-known pathogens associated with SCM. It is concluded that SCM prevalence rate is higher in crossbred than indigenous cows and these breeds have different risk factors for SCM. HF crossbred cows had similar SCM prevalence rate under different farming conditions, where CMT can be used for SCM diagnosis with excellent accuracy. The 16s rRNA method is useful for specific identification of lesser known and emerging mastitis pathogens.
State of the art and future trends in obstacle-surmounting unmanned ground vehicle configuration and dynamics
Authors: He Miaolei , Yue Xiangdi , Zheng Yuling , Chen Junxin , Wu Shuangqing , Heng Zeng , Zhou Xuanyi , Cai Yaoyi 
Published: July 2023

AbstractThis article presents a review of the platform configuration and dynamic of obstacle-surmounting unmanned ground vehicles (UGVs). For now, unmanned systems have emerged as a result of the rapid advancement of artificial intelligence and modern manufacturing techniques both domestically and internationally. The research on unmanned systems has been improved a lot. The UGV platform can execute transportation, recurring, and military tasks independently. For the high-level self-control, adaption, and maneuverability abilities, the UGV platform has been applied in the military, industry, and other special fields widely. The UGV platform usually performs tasks in an unstructured environment, so the all-terrain performance becomes a key factor restricting their operating efficiency and reliability. A brief literature review of the UGV platform is carried out in this article.
Design of a wideband highly efficient GaN HEMT power amplifier for multiband applications
Authors: Xuan Xuefei , Cheng Zhiqun , Zhang Zhiwei , Gong Tingwei , Le Chao 
Published: July 2023

AbstractA distributed basic matching network (MN) designed method that can achieve multioctave bandwidth and highly efficient power amplifier (PA) for multiband applications is presented in this letter. The distributed network unit with a left-rotating T-type structure is employed to construct the wideband MN, whose topology and circuit parameters are acquired through optimization. Finally, the impedance realized by the designed MN falls into the target impedance region obtained by using multi-harmonic bilateral pull technique in the desired frequency band. For the proof of the method, a broadband highly efficient PA has been designed, fabricated, and measured using commercialized GaN high electron mobility transistors (HEMT). The measured results show that the implemented PA achieves a bandwidth of 137.8% from 0.7 to 3.8 GHz. The drain efficiency is between 59% and 70% with an output power of greater than 39 dBm and a gain ranging from 9 to 12.1 dB.
Frequency and machine learning predictors of severe depressive symptoms and suicidal ideation among university students
Authors: Meda Nicola , Pardini Susanna , Rigobello Paolo , Visioli Francesco , Novara Caterina 
Published: July 2023

Abstract

Aims
Prospective studies on the mental health of university students highlighted a major concern. Specifically, young adults in academia are affected by markedly worse mental health status than their peers or adults in other vocations. This situation predisposes to exacerbated disability-adjusted life-years.

Methods
We enroled 1,388 students at the baseline, 557 of whom completed follow-up after 6 months, incorporating their demographic information and self-report questionnaires on depressive, anxiety and obsessive–compulsive symptoms. We applied multiple regression modelling to determine associations – at baseline – between demographic factors and self-reported mental health measures and supervised machine learning algorithms to predict the risk of poorer mental health at follow-up, by leveraging the demographic and clinical information collected at baseline.

Results
Approximately one out of five students reported severe depressive symptoms and/or suicidal ideation. An association of economic worry with depression was evidenced both at baseline (when high-frequency worry odds ratio = 3.11 [1.88–5.15]) and during follow-up. The random forest algorithm exhibited high accuracy in predicting the students who maintained well-being (balanced accuracy = 0.85) or absence of suicidal ideation but low accuracy for those whose symptoms worsened (balanced accuracy = 0.49). The most important features used for prediction were the cognitive and somatic symptoms of depression. However, while the negative predictive value of worsened symptoms after 6 months of enrolment was 0.89, the positive predictive value is basically null.

Conclusions
Students’ severe mental health problems reached worrying levels, and demographic factors were poor predictors of mental health outcomes. Further research including people with lived experience will be crucial to better assess students’ mental health needs and improve the predictive outcome for those most at risk of worsening symptoms.
Daily to Centennial Behavior of Aseismic Slip Along the Central Section of the North Anatolian Fault
Authors: Jolivet R. , Jara J. , Dalaison M. , Rouet‐Leduc B. , Özdemir A. , Dogan U. , Çakir Z. , Ergintav S. , Dubernet P. 
Published: July 2023

AbstractSlow, aseismic slip plays a crucial role in the initiation, propagation, and arrest of large earthquakes along active faults. In addition, aseismic slip controls the budget of elastic strain in the crust, hence the amount of energy available for upcoming earthquakes. The conditions for slow slip include specific material properties of the fault zone, pore fluid pressure, and geometrical complexities of the fault plane. Fine scale descriptions of aseismic slip at the surface and at depth are key to determine the factors controlling the occurrence of slow, aseismic versus rapid, seismic fault slip. We focus on the spatial and temporal distribution of aseismic slip along the North Anatolian Fault, the plate boundary accommodating the 2 cm/yr of relative motion between Anatolia and Eurasia. Along the eastern termination of the rupture trace of the 1944 M7.3 Bolu‐Gerede earthquake lies a segment that slips aseismically since at least the 1950s. We use Sentinel 1 time series of displacement and GNSS data to provide a spatio‐temporal description of the kinematics of fault slip. We show that aseismic slip observed at the surface is coincident with a shallow locking depth and that slow slip events with a return period of 2.5 years are restricted to a specific section of the fault. In the light of historical measurements, we discuss potential rheological implications of our results and propose a simple alternative model to explain the local occurrence of shallow aseismic slip at this location.