bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Continuum of Response Properties across the Population of Unipolar Brush Cells in the Dorsal Cochlear Nucleus
Authors: Huson Vincent , Newman Leannah , Regehr Wade G. 
Published: July 2023

Unipolar brush cells (UBCs) in the cerebellum and dorsal cochlear nucleus (DCN) perform temporal transformations by converting brief mossy fiber bursts into long-lasting responses. In the cerebellar UBC population, mixing inhibition with graded mGluR1-dependent excitation leads to a continuum of temporal responses. In the DCN, it has been thought that mGluR1contributes little to mossy fiber responses and that there are distinct excitatory and inhibitory UBC subtypes. Here, we investigate UBC response properties using noninvasive cell-attached recordings in the DCN of mice of either sex. We find a continuum of responses to mossy fiber bursts ranging from 100 ms excitation to initial inhibition followed by several seconds of excitation to inhibition lasting for hundreds of milliseconds. Pharmacological interrogation reveals excitatory responses are primarily mediated by mGluR1. Thus, UBCs in both the DCN and cerebellum rely on mGluR1and have a continuum of response durations. The continuum of responses in the DCN may allow more flexible and efficient temporal processing than can be achieved with distinct excitatory and inhibitory populations.SIGNIFICANCE STATEMENTUBCs are specialized excitatory interneurons in cerebellar-like structures that greatly prolong the temporal responses of mossy fiber inputs. They are thought to help cancel out self-generated signals. In the DCN, the prevailing view was that there are two distinct ON and OFF subtypes of UBCs. Here, we show that instead the UBC population has a continuum of response properties. Many cells show suppression and excitation consecutively, and the response durations vary considerably. mGluR1s are crucial in generating a continuum of responses. To understand how UBCs contribute to temporal processing, it is essential to consider the continuous variations of UBC responses, which have advantages over just having opposing ON/OFF subtypes of UBCs.
The VLPFC-Engaged Voluntary Emotion Regulation: Combined TMS-fMRI Evidence for the Neural Circuit of Cognitive Reappraisal
Authors: He Zhenhong , Li Sijin , Mo Licheng , Zheng Zixin , Li Yiwei , Li Hong , Zhang Dandan 
Published: July 2023

A clear understanding of the neural circuit underlying emotion regulation (ER) is important for both basic and translational research. However, a lack of evidence based on combined neuroimaging and neuromodulation techniques calls into question (1) whether the change of prefrontal-subcortical activity intrinsically and causally contributes to the ER effect; and (2) whether the prefrontal control system directly modulates the subcortical affective system. Accordingly, we combined fMRI recordings with transcranial magnetic stimulation (TMS) to map the causal connections between the PFC and subcortical affective structures (amygdala and insula). A total of 117 human adult participants (57 males and 60 females) were included in the study. The results revealed that TMS-induced ventrolateral PFC (VLPFC) facilitation led to enhanced activity in the VLPFC and ventromedial PFC (VMPFC) as well as attenuated activity in the amygdala and insula during reappraisal but not during nonreappraisal (i.e., baseline). Moreover, the activated VLPFC intensified the prefrontal-subcortical couplings via the VMPFC during reappraisal only. This study provides combined TMS-fMRI evidence that downregulating negative emotion involves the prefrontal control system suppressing the subcortical affective system, with the VMPFC serving as a crucial hub within the VLPFC-subcortical network, suggesting an indirect pathway model of the ER circuit. Our findings outline potential protocols for improving ER ability by intensifying the VLPFC-VMPFC coupling in patients with mood and anxiety disorders.SIGNIFICANCE STATEMENTUsing fMRI to examine the TMS effect, we uncovered that the opposite neural changes in prefrontal (enhanced) and subcortical (attenuated) regions are not a byproduct of emotion regulation (ER); instead, this prefrontal-subcortical activity per se causally contributes to the ER effect. Furthermore, using TMS to amplify the neural changes within the ER circuit, the “bridge” role of the VMPFC is highlighted under the reappraisal versus nonreappraisal contrast. This “perturb-and-measure” approach overcomes the correlational nature of fMRI data, helping us to identify brain regions that causally support reappraisal (the VLPFC and VMPFC) and those that are modulated by reappraisal (the amygdala and insula). The uncovered ER circuit is important for understanding the neural systems underlying reappraisal and valuable for translational research.
Variation in Care of Well-Appearing Hypothermic Young Infants: A Multisite Study
Authors: Combs Monica D. , Mitchell Meredith , Molas-Torreblanca Kira , Lee Clifton , Raffaele Jennifer L. , Sharma Meenu , Berger Stephanie , Morrison John , Prasad Madhuri , Wood Julie K. , Van Meurs Annalise , Mullin Rachael , Doraiswamy Vignesh , Ingram Evan , Banker Sumeet L. , Lee Jennifer , Tan Xiyan , Potisek Nicholas M. , Halvorson Elizabeth E. ,   HYPOTHERMIC YOUNG INFANT RESEARCH COLLABORATIVE, Adib Hania , McCartor Saylor , Westphal Kathryn 
Published: July 2023

BACKGROUND AND OBJECTIVES
Numerous decision tools have emerged to guide management of febrile infants, but limited data exist to guide the care of young infants presenting with hypothermia. We evaluated the variation in care for well-appearing hypothermic young infants in the hospital and/or emergency department setting between participating sites.

METHODS
This is a retrospective cohort study of well-appearing infants ≤90 days old across 9 academic medical centers from September 1, 2016 to May 5, 2021. Infants were identified via billing codes for hypothermia or an initial temperature ≤36.0°C with manual chart review performed. Primary outcomes included assessment of variation in diagnostic evaluation, disposition, empirical antimicrobial therapy, and length of stay.

RESULTS
Of 14 278 infants originally identified, 739 met inclusion criteria. Significant interhospital variation occurred across all primary outcomes. Across sites, a full serious bacterial illness evaluation was done in 12% to 76% of hypothermic infants. Empirical antibiotics were administered 20% to 87% of the time. Performance of herpes simplex viral testing ranged from 7% to 84%, and acyclovir was empirically started 8% to 82% of the time. Hospital admission rates ranged from 45% to 100% of patients.

CONCLUSIONS
Considerable variation across multiple aspects of care exists for well-appearing young infants presenting with hypothermia. An improved understanding of hypothermic young infants and their risk of infection can lead to the development of clinical decision tools to guide appropriate evaluation and management.
Sağlık bilimleri fakültesi öğrencilerinde fiziksel aktivite düzeyi ile eleştirel düşünme arasındaki ilişki: kesitsel bir çalışma
Authors: AKTAŞ Büşra , NAZ GÜRŞAN İlknur , KÖPRÜLÜOĞLU Melissa , ÖZER KAYA Derya 
Published: July 2023

Amaç: Fiziksel aktivite üniversite öğrencilerinde hem fiziksel hem de mental sağlık açısından önem taşımaktadır. Son yıllarda sağlık çalışanlarının hastaların problemlerinin özüne inebilme ve farklı tedavi metotları sunabilmeleri açısından eğitim aşamasındaki eleştirel düşünme becerileri üzerinde durulmakta ancak eleştirel düşünme ile ilişkili faktörler net olarak tanımlanmamaktadır. Bu nedenle çalışmamızda amacımız sağlık bilimleri fakültesi öğrencilerinin fiziksel aktivite düzeyi ve eleştirel düşünme becerileri arasındaki ilişkiyi incelenmekti.
Yöntem: Kesitsel olarak planlanan çalışmamıza 18-31 yaş arası 160 üniversite öğrencisi (ortanca yaş; 20 [min-maks; 19-31] yıl, beden kütle indeksi; 21 [min-maks; 15-38] kg/m2) dahil edildi. Eleştirel düşünme eğilimleri Eleştirel Düşünme Eğilimi Ölçeği ile, fiziksel aktivite düzeyleri Uluslararası Fiziksel Aktivite Anketi ile sorgulandı.
Bulgular: Öğrencilerin ile Eleştirel Düşünme Eğilimi Ölçeği beceri boyutu, değer boyutu ve total skoru ile yürüme skoru (sırasıyla, r=0,580, r=0,490, r=0,630, p
Effect of Signs Types on Level of Traffic Signs Understanding of Motorcyclists
Authors: Maulina Dewi , Shafira Maytika Dewi Ayu , Santoso Guritnaningsih P. 
Published: July 2023

Insufficient comprehension of traffic signs among motorcyclists is a contributing factor to traffic accidents. Furthermore, the ability to comprehend these signs is closely tied to the cognitive process of accurately interpreting the information conveyed, with one of the key influencing factors being the representation of signs themselves. Therefore, this research aimed to examine the effect of sign types on the understanding of traffic signs, utilizing an experimental research approach that employed a between-subject, randomized multi-group design. A sample of 80 motorcyclists aged 17-25 residing in the Jakarta, Bogor, Depok, Tangerang, and Bekasi (Jabodetabek) areas was involved in the research. Participants were exposed to ten unfamiliar warning signs displayed on a computer, presented in three different formats, namely symbol, text, and symbol + text. Understanding of traffic signs was measured by level of signs comprehension (accuracy). The results showed that signs types significantly affected understanding of traffic signs. Furthermore, text and symbol + text signs resulted in higher level of understanding compared to symbols. The research implied the need for textual elements in the designs of warning signs to optimize understanding of traffic signs among motorcyclists.
ON THE PROPERTIES OF THE SET OF TRAJECTORIES OF THE NONLINEAR CONTROL SYSTEM WITH QUADRATIC INTEGRAL CONSTRAINT ON THE CONTROL FUNCTIONS
Authors: Huseyin Anar , Huseyin Nesir 
Published: July 2023

In this paper the control system described by a nonlinear differential equation is studied. It is assumed that the control functions have a quadratic integral constraint, more precisely, the admissible control functions are chosen from the ellipsoid of the space \(L_2([t_0,\theta];\mathbb{R}^m)\). Different properties of the set of trajectories are investigated. It is proved that a small perturbation of the set of control functions causes also appropriate small perturbation of the set of trajectories. It is also shown that the set of trajectories has a small change if along with the integral constraint on the control functions, a sufficiently large norm type geometric constraint on the control functions is introduced. It is established that every trajectory is robust with respect to the fast consumption of the remaining control resource, and hence every trajectory of the system can be approximated by a trajectory generated by full consumption of the total control resource.
Effect of Supplier Environmental Damage on Environmental Concern and Green Purchase Dynamic Capabilities
Authors: Tondolo Vilmar , Otero Larissa Oliveira de , Garcia Daniele Rodrigues , Brambilla Flávio Régio , Lunardi Guilherme Lerch 
Published: July 2023

Purpose: Given the importance of sustainability in the supply chain, the aim of this study was to analyze the effect of supplier environmental damage on managers' perception of the need to develop Green Purchasing Dynamic Capabilities (GPDC), and whether this effect is mediated by environmental concern
Methodology/approach: This study employed a full-factorial vignette-based experiment Participants were 267 US professionals with management experience. The hypotheses were tested through multiple regression analysis.
Originality/Relevance: This study is one of the first to analyze the role of management in decision-making on the development of GPDC, as well as analyzing the effect of the origin of environmental damage and the way in which the manager was inserted in the context of supplier selection.
Key findings: Responsibility for supplier selection did not show a direct effect on the need to develop GPDC. The controllability for the origin of the environmental damage does not moderate the effect of the responsibility for the selection of the supplier in the necessity of GPDC development. However, environmental concern mediates the effect of responsibility on the need for GPDC development.
Theoretical/methodological contributions: The findings motivated to elucidate how the external and internal aspects of the company in relation to the environmental damages of the supplier interact in the Dynamic Capabilities of Green Purchasing.
Accounting practices in micro enterprises at Aba Islamic boarding business
Authors: Dwi Maulida Sovie , Ludigdo Unti , Purwanti Lilik 
Published: July 2023

This study aims to examine the accounting practices of micro businesses engaged in convection at the Islamic Boarding School, named Aba Collection. This study uses ethnomethodology with the qualitative approach as a research method because it has its own points in understanding empirically. Ethnomethodology is an empirical study that studies how humans capture and perform daily activities in social reality. The results of this study found that accounting does exist and is considered important in the Aba Collection. Applied accounting is using simple accounting in its own way. The presence of simple accounting is carried out based on religious values, namely sustenance, sincerity, and alms. These values are implemented in simple accounting practices with the belief and faith of the business owner. The finding of this study suggests that Local governments should also pay more attention to providing training on accounting practices to produce financial statements tailored to the needs and business conditions classified as Micro businesses in Tulungagung Regency.
The contribution of cassava production and marketing on smallholder farmers’ livelihood in Dodoma Region, Tanzania
Authors: Mashenene Robert , Maziku Petro , Otieno Lilian 
Published: July 2023

Cassava (Manihot esculenta Crantz) has remained a major source of food security and income generation for most developing countries including Tanzania due to its ability to drought and disease resistance. At present, its production in Tanzania stands at 630,000 tons while the country's market demand is expected to grow at 7% by 2026. Therefore, this study assessed the contribution of cassava production and marketing on the livelihood of smallholder farmers in Tanzania particularly in the Dodoma region, so as to explore its potential contributions to the society welfare. A cross-sectional research design was employed whereby a multi-stage sampling procedure was used in selecting a sample of 240 cassava smallholder farmers from four districts in the Dodoma region namely Kondoa, Chemba, Kongwa, and Mpwapwa. Quantitative data were collected through self-administered structured questionnaires and focus group discussion, interview and observation methods also were used in collecting qualitative data from the study area. Content analysis was used in analyzing qualitative data. A binary logistic regression model was employed to estimate the contribution of cassava production and marketing on smallholder farmers’ livelihoods in the region. The findings from the study indicated that family size, farmers’ experience, land size, education, number of visits by extension, and market access statistically were significant with showed a positive relationship with the improvement in the livelihood of farmers in the selected districts. On the other hand, transportation costs showed a negative relation with the improvement of farmers’ livelihood. Generally, it can be concluded that an increase in production and improvement in marketing variables could contribute much to the improvement of smallholder farmers’ livelihood. Based on these findings, it is recommended that Ministries responsible for cassava production and marketing which included the Ministry of Agriculture and the Ministry of Industry and Trade focus more on the design, promotion, and implementation of policies and programs that are intended to enhance cassava production in rural areas and increase the provision of best farming practices through employing more extension officers.
MIC: Microwave Imaging Curtain for Weapon and Explosive Belt Dynamic and Automatic Detection
Authors: Baque Remi , Vignaud Luc , Wasik Valentine , Castet Nicolas , Herschel Reinhold , Cetinkaya Harun , Brandes Thomas 
Published: July 2023

DEXTER (Detection of EXplosives and firearms to counter TERrorism) is a project funded by NATO’s Science for Peace and Security (SPS) program with the goal of developing an integrated system capable of remotely and accurately detecting explosives and firearms in public places without impeding the flow of pedestrians. The active microwave component of the DEXTER project is referred to as MIC (Microwave Imaging Curtain), supported by the French SGDSN (General Secretariat of Defense and National Security), and utilizes a radar system capable of generating 3D images in real time to address non-checkpoint detection of explosives and fire-arms. The project, led by the ONERA (France), is based on a radar imaging system developed by the Fraunhofer FHR institute, using a MIMO architecture with an Ultra Wide-Band waveform.
Although high-resolution 3D microwave imaging is already being used in expensive body scanners to detect firearms concealed under clothing, MIC&#039;s innovative approach lies in utilizing a high-resolution 3D imaging device that can detect larger dangerous objects carried by moving individuals at a longer range, in addition to providing discrete detection in pedestrian flow. Automatic detection and classification of these dangerous objects is carried out on 3D radar im-ages using a deep-learning network.
This paper will outline the project&#039;s objectives and constraints, as well as the design, architecture, and performance of the final system. Additionally, it will present real-time imaging results ob-tained during a live demonstration in a relevant environment.
Mesozoic Thermo-Tectonic Evolution of the Western Altai Orogenic Belt (NW China): Insights from Low-Temperature Thermochronology
Authors: Wu Mingxuan , Yin Jiyuan , He Zhiyuan , Xiao Wenjiao , Wang Yannan , Chen Wen , Wang Yamei , Sun Jingbo , Li Dapeng , Meng Yun 
Published: July 2023

Abstract
The Meso-Cenozoic tectonic activities of the Central Asian Orogenic Belt (CAOB) played an important role in controlling the present-day topography of Central Asia. The Altai orogenic belt is a key component in the southern CAOB; so far, there is still a lack of sufficient constraints on the time and mechanism of its tectonic reactivation since the Mesozoic. In this contribution, we present new zircon and apatite (U-Th)/He and apatite fission track thermochronological data from granitoid samples in the Habahe area, western Altai orogenic belt. Therein zircon (U-Th)/He ages range from ~230 to ~238 Ma, apatite fission track central ages are ~140–157 Ma, and apatite (U-Th)/He ages vary from ~134 to ~149 Ma. Based on the associated thermal history modeling results, the Habahe area underwent a moderate cooling during the Late Triassic to Middle Jurassic (~230–170 Ma) with a cooling rate of ~0.8–1.1℃/Ma and a subsequent moderate to slightly rapid cooling stage during the Middle Jurassic to Early Cretaceous (170–130 Ma) with a cooling rate of ~1.5–2.3℃/Ma. We propose that this prolonged cooling stage occurred under a long-lasting contractional tectonism in the western Altai throughout the early Mesozoic, which was produced by multiplate convergence in East Asia during this period, mainly including the consumption of the Mongol-Okhotsk Ocean in the northeast and the Meso-Tethys Ocean in the south. The region experienced rather limited Late Cretaceous-Cenozoic cooling and exhumation due to insufficient reactivation and weak surficial erosion.
Reconstruction of Missing Well-Logs Using Facies-Informed Discrete Wavelet Transform and Time Series Regression
Authors: Ren Quan , Zhang Hongbing , Azevedo Leonardo , Yu Xiang , Zhang Dailu , Zhao Xiang , Zhu Xinyi , Hu Xun 
Published: July 2023

Summary
Geophysical logging is widely used in lithofacies identification, reservoir parameter prediction, and geological modeling. However, it is common to have well-log sections with low-quality and/or missing segments. Repeating the well-log measurements is not only expensive but might also be impossible depending on the condition of the borehole walls. In these situations, reliable and accurate well-log prediction is, therefore, necessary in different stages of the geomodeling workflow. In this study, we propose a time series regression model to predict missing well-log data, incorporating facies information as an additional geological input and using discrete wavelet transform (DWT) to denoise the input data set. The main contributions of this work are threefold: (i) We jointly use facies information with well logs as the input data set; (ii) we use DWT to denoise the input data and consequently improve the signal-to-noise ratio of the input data; and (iii) we regard the depth domain as the time domain and use a time series regression algorithm for log reconstruction modeling. We show a real application example in two distinct scenarios. In the first, we predict missing well-log intervals. In the second, we predict complete well logs. The experimental results show the ability of the proposed prediction model to recover missing well-log data with high accuracy levels.
Intelligent Risk-Based Cybersecurity Protection for Industrial Systems Control—A Feasibility Study
Authors: Houmb S. H. , Iversen F. , Ewald R. , Færaas E. 
Published: July 2023

Summary
Intelligent automated industrial process control, enabled by IR 4.0 technology, requires increased system integration and connectedness. With such development comes a heightened risk of cyberattack for operational technology (OT) systems, including industrial control systems (ICS) and industrial automation and control systems (IACS), historically shielded from cyberspace. Cyberattacks on OT systems can also impact the physical world. The recent attack on the US Colonial Pipeline interrupted delivery of oil along the US West coast for several days, resulting in a declaration of a state of emergency, while the Ukraine power grid attacks interrupted electrical power supply in Kyiv, impacting thousands of consumers. In 2021, an Equinor-operated platform on the Norwegian Continental shelf was hit by malware. The incident had the potential to affect the drilling control system (DCS).
For ICS, the concern is ensuring a safe process, as opposed to the more traditional concern with data protection for information technology (IT) system management. To ensure safe implementation of advanced industrial systems control, while avoiding unnecessary operational downtime, there is a need for cybersecurity solutions that account for risk for the whole cyberphysical system (CPS), including the ICS, the work environment, the product, and the physical surroundings. Diagnostic models and methods must therefore be developed that cover the functionality of the whole CPS. Further, to account for process dynamics and evolving cyberattack threats, adaptability is required with respect to both process state and new types of attacks. For this purpose, knowledge-based awareness monitoring combined with existing cyberattack detection tools for ICS, known as ICS intrusion detection systems (IDS), is proposed, providing an element of artificial intelligence.
Results from studies in a DCS environment indicate that existing monitoring applications can be used to detect and discern between different types of cyberattacks on CPSs. This indicates feasibility with respect to monitoring the control and IT components of the ICS system for building risk-based cybersecurity decision support solutions.
The key challenge and novelty of the proposed approach is to extend the capability of cybermonitoring in systems control to automated evaluation of process risk, including risk to the physical environment. Such capability will enable appropriate decision support with respect to both process risk and operational downtime.