bluuebunny/crossref_metadata_2025_split huggingface dataset:
Current approaches for the treatment of ketamine‐induced cystitis
Authors: Zhou Juan , Scott Cassidy , Miab Ziba Rovei , Lehmann Christian 
Published: February 2023

AbstractAimsKetamine is a dissociative anesthetic, historically used in a clinical setting for the induction and maintenance of anesthesia. Ketamine usage can produce undesirable psychological manifestations including hallucinations and long‐term psychotomimetic effects. As a results of its fast onset and short period of action, ketamine is widely used as a recreational drug. Chronic abuse of ketamine can lead to significant urinary system complications including ketamine‐induced cystitis (KIC). Common side effects of chronic ketamine abuse are urinary pain and discomfort and decreased bladder compliance and voiding pressure. Cessation of ketamine use is associated with improvement of symptoms however the exact pathophysiology of KIC remains unknown, complicating the ability of clinicians to treat this condition.MethodA literature search was performed using the National Center for Biotechnology Information (NCBI) Pubmed database up to May 2021.ResultsAnimal models of KIC are necessary to further our understanding of KIC pathophysiology and explore potential treatment options. In all cases, cessation of ketamine use is the first line of treatment and is most effective in managing KIC. In addition to cessation, treatment plans must be tailored to the individual, based on the severity of symptoms and disease progression, and include options such as: oral anti‐inflammatories, intravesical treatment and in the most severe cases, surgical intervention.ConclusionKIC is a painful condition that currently lacks standardized treatment methods. Both animal models of KIC and clinical trials to further elucidate the mechanism of KIC pathophysiology must be explored to create targeted treatment plans.
The biopsychosocial impacts of anxiety on overactive bladder in women
Authors: Reynolds William S. , McKernan Lindsey C. , Dmochowski Roger R. , Bruehl Stephen 
Published: February 2023

AbstractAimsLinks between emotional state and the bladder have long been recognized, as psychological comorbidity is a common feature of overactive bladder (OAB). However, how psychological factors might contribute to the development and severity of OAB remains unclear. Therefore, we sought to examine the effect of anxiety on OAB with a specific focus on bladder hypersensitivity.MethodsIn a sample of 120 adult women with OAB, we compared those with at least mild anxiety (PROMIS Anxiety score ≥55) to those with lower anxiety. Analyses focused on patient‐reported questionnaires assessing urinary symptom severity and quality of life, psychological stress symptoms, general somatic symptoms, and results of quantitative sensory testing (QST), including temporal summation to heat pain (TSP). TSP was used to index elevated C‐fiber responsiveness (i.e., central sensitization).ResultsThirty‐six (30%) women had at least mild anxiety. While there were no group differences for urinary symptom severity, more anxious women reported worse OAB‐specific quality of life, greater psychological stress burden, higher stress reactivity, and greater somatic symptoms. On QST, there were no differences between anxiety groups for pain threshold (43.6 ± 3.1°C vs. 44.0 ± 3.1°C, p = 0.6) and tolerance (47.3 ± 1.5°C vs. 47.4 ± 1.6°C, p = 0.7). However, those with anxiety had significantly higher TSP than those without anxiety (6.0 ± 4.8 vs. 3.7 ± 3.9, p = 0.006), indicating greater central sensitization.ConclusionsWomen with OAB and at least mild anxiety symptoms reported greater psychosocial burdens (i.e., psychological stress, stress reactivity, OAB‐specific QOL) and somatic symptom severity and demonstrated greater central sensitization on QST than those without anxiety. These findings support the hypothesis that anxiety and psychological stress impact hypersensitivity mechanisms that may underlie and contribute to OAB, although further research is needed to better understand how and to what extent.
Nature and well‐being: The association of nature engagement and well‐being during the SARS‐CoV‐2 pandemic
Authors: Phillips Tina B. , Wells Nancy M. , Brown Abigail H. , Tralins Jordan R. , Bonter David N. 
Published: February 2023

Abstract

Numerous studies have shown the positive association between nature engagement and well‐being. During the early phases of the SARS‐CoV‐2 pandemic, nature engagement changed dramatically as mental health and well‐being declined across the globe.

This study examines how psychological connection to nature and engagement with nature in various forms is associated with well‐being during the SARS‐CoV‐2 pandemic. Specifically, we examine which types of nature engagement (i.e. with nearby nature, through nature excursions and media‐based) are more strongly associated with well‐being based on measures of loneliness, rumination, pandemic emotional impact and mental health.

We employed a cross‐sectional online survey of adults (N = 3282) residing in the United States, 25% of whom report seldom spending time in nature.

Our findings revealed that the psychological construct of connection to nature was associated with less loneliness and greater mental health. Overall, nature engagement was a consistent predictor of well‐being, but different types of activities predicted varying outcomes on our four dependent variables. Greater engagement with nearby nature during the pandemic was associated with less rumination, less pandemic emotional impact and better mental health while nature excursions (e.g. camping, backpacking) and media‐based nature engagement were associated with greater loneliness, more emotional impact from the pandemic and worse mental health. In addition, nature engagement via media was associated with greater rumination.

Our findings suggest that promoting opportunities to increase engagement with and access to nearby nature is associated with better human well‐being, especially during challenging events, and should be part of a multi‐pronged approach for coping with the next public health crisis.

Read the free Plain Language Summary for this article on the Journal blog.
The impact of hydrocodone rescheduling on utilization, abuse, misuse, and overdose deaths
Authors: Karami Sara , Ajao Adebola , Wong Jennie , Zhang Di , Meyer Tamra , Ding Yulan , Secora Alex , Major Jacqueline M. , Gill Rajdeep , Chai Grace P. , Zhao Yueqin , McAninch Jana 
Published: February 2023

AbstractPurposeTo evaluate the impact of increased federal restrictions on hydrocodone combination product (HCP) utilization, misuse, abuse, and overdose death.MethodsWe assessed utilization, misuse, abuse, and overdose death trends involving hydrocodone versus select opioid analgesics (OAs) and heroin using descriptive and interrupted time‐series (ITS) analyses during the nine quarters before and after the October 2014 rescheduling of HCPs from a less restrictive (CIII) to more restrictive (CII) category.ResultsHydrocodone dispensing declined >30% over the study period, and declines accelerated after rescheduling. ITS analyses showed that immediately postrescheduling, quarterly hydrocodone dispensing decreased by 177M dosage units while codeine, oxycodone, and morphine dispensing increased by 49M, 62M, and 4M dosage units, respectively. Postrescheduling, hydrocodone‐involved misuse/abuse poison center (PC) case rates had a statistically significant immediate drop but a deceleration of preperiod declines. There were small level increases in codeine‐involved PC misuse/abuse and overdose death rates immediately after HCP's rescheduling, but these were smaller than level decreases in rates for hydrocodone. Heroin‐involved PC case rates and overdose death rates increased across the study period, with exponential increases in PC case rates beginning 2015.ConclusionsHCP rescheduling was associated with accelerated declines in hydrocodone dispensing, only partially offset by smaller increases in codeine, oxycodone, and morphine dispensing. The net impact on hydrocodone and other OA‐involved misuse/abuse and fatal overdose was unclear. We did not detect an immediate impact on heroin abuse or overdose death rates; however, the dynamic nature of the crisis and data limitations present challenges to causal inference.
Deep neural networks to predict autonomous ground vehicle behavior on sloping terrain field
Authors: Badgujar Chetan , Das Sanjoy , Figueroa Dania M. , Flippo Daniel , Welch Stephen 
Published: February 2023

AbstractConventional large agricultural machinery or implements are unsafe and unsuitable to operate on slopes or 10%. Tractor rollovers are frequent on slopes, precluding farming on arable hills, uneven or highly sloped land. Therefore, a fleet of autonomous ground vehicles (AGV) is proposed to cultivate highly sloped land (). The fleet aims to expand agricultural land to the slopes and to strengths the human‐robot collaboration in an unsafe sloped environment. However, the fleet's success largely depends on vehicle behavior models regarding traction, mobility, and energy consumption on varying slopes. The vehicle intelligent behavior models are essential and would solve multiple objectives ranging from simulations to path planning & navigation. Therefore, this study aimed to build a deep learning‐based vehicle behavior models on sloping terrain. A standard drawbar test was performed on a single AGV operating on an actual sloped field at varying speeds and load conditions. The drawbar test quantified the AGV's behavior on slopes in metrics related to traction (traction efficiency), mobility (travel reduction), and energy consumption (power number). Deep learning‐based models were developed from the experimental data to predict the AGV's behavior on slopes as a function of vehicle velocity, drawbar, and slope. A special model called the proposed model, which combined multiple deep neural networks with a mixture of Gaussians, was developed and trained with a hybrid training method. The proposed model consistently outperformed the other well‐known machine learning models. This study explored the capabilities of machine learning algorithms to simulate the behavior of small‐track vehicle or AGV on sloping terrain. The fleet aims to provide safer agriculture keeping human safety in focus, and the developed predictive vehicle behavior models would empower the fleet's operation on currently unsafe sloped terrain by assisting in vehicle path planning, route optimization, and decision making.
CD25 Expression Could Be a Prognostic Marker of Bexarotene Monotherapy for Cutaneous T-Cell Lymphomas
Authors: Yamamoto Jun , Ohuchi Kentaro , Amagai Ryo , Roh Yuna , Endo Junko , Chiba Hiromu , Tamabuchi Erika , Kambayashi Yumi , Hashimoto Akira , Asano Yoshihide , Fujimura Taku 
Published: February 2023

Abstract
Bexarotene is often administered to phototherapy-resistant early cutaneous T-cell lymphoma (CTCL) patients as one of the first-line therapies in real-world practice. Since bexarotene reduces the expression of CCR4 in CTCL cells and CCL22 to decrease serum CCL22 levels, bexarotene inhibits the migration of CTCL cells, as well as other CCR4+ cells, such as cytotoxic T cells and regulatory T cells, in the lesional skin of CTCL. In this report, the efficacy of bexarotene in 28 cases of CTCL, as well as its correlations with immunohistochemical profiles of tumour-infiltrating leucocytes (TILs), was retrospectively investigated. The overall response rate at 1 and 4 months for the total cohort was 70.8% (95% CI, 50.6%–86.3%) and 47.8% (95% CI, 29.2%–67.0%), respectively. The disease control rate for the total cohort at 4 months was 65.2% (95% CI, 44.8%–81.3%). The mean event-free survival for all patients was 4.1 months (0.3–68.5 months). In addition, the immunoreactive cells were calculated using digital microscopy, suggesting that the ratio of CD25+ cells among TILs was significantly increased in patients who responded to bexarotene (p = 0.0209), whereas there were no significant differences in the ratios of CD8+ cells, granulysin+ cells, and Foxp3+ cells among TILs between responder and non-responder patients. Collectively, the ratio of CD25 expression among TILs might be a predictive biomarker for the efficacy of bexarotene.
Respiration‐Responsive Colorful Room‐Temperature Phosphorescent Materials and Assembly‐Induced Phosphorescence Enhancement Strategies
Authors: Ye Wenyan , Wang Yandong , Cao Tengyang , Meng He , Wang Chunlei , Hu Bingxuan , Gao Zeyu , Wang Caiqi 
Published: February 2023

AbstractIt is still very challenging to obtain colorful and long‐afterglow room‐temperature phosphorescent (RTP) materials from pure organic polymers. Herein, it is found that chitosan (CS), a natural polymer, not only has its own RTP, but also reacts with different phosphorescent molecules to obtain a multicolor, long‐afterglow RTP material. CS can emit RTP with a lifetime of 48 ms. In addition, CS is rich in amino groups, and grafting different phosphorescent molecules onto CS by an amidation reaction can modulate it to emit different colors of phosphorescence and obtain a series of colorful CS derivatives. The obtained polymer films also have ultra‐long RTP due to the good film‐forming ability. In addition, one of the CS derivatives selected with α‐cyclodextrin is used to construct RTP materials with lifetimes of up to seconds. The host–guest interactions are used to suppress nonradiative relaxation and build crystalline domains, thus synergistically enhancing the RTP. Interestingly, the RTP properties of the CS derivative films are extremely sensitive to water and heat stimuli, because water broke the hydrogen bonds between adjacent CS molecules and thus altered the rigid environment in the material. Finally, they can be used as a stimuli‐responsive ink and for monitoring environmental humidity.
Verification of Applicability of 90 GHz Band Millimeter‐Wave for Obstacle Detection to Railway
Authors: Nakamura Kazuki , Kawasaki Kunihiro , Iwasawa Nagateru , Yamaguchi Daisuke , Takeuchi Keiichi , Shibagaki Nobuhiko , Sato Yosuke , Kashima Ken‐ichi , Takahashi Masaharu 
Published: February 2023

AbstractObstacles on railway tracks are a factor hindering safe and stable operation. For this reason, obstacle detection systems have been introduced at level crossings, slopes and under platforms. However, they have been introduced only in limited sections for limited applications. Therefore, the authors considered to introduce an obstacle monitoring system that combines 90 GHz band millimeter‐wave and Radio over Fiber (RoF) technology, as an obstacle monitoring system over tracks to monitor the entire line. Since the millimeter‐wave band has a wide bandwidth, high precision detection is possible when they are used in radar. In addition, since radar control units can be grouped in one place by introducing the RoF technology, we can build a system at a low cost. In order to study the feasibility of introducing a new obstacles monitoring system combining 90 GHz band millimeter‐wave and RoF technology in railway environment, a field test using prototype equipment was conducted on a railway track. As a result, it was confirmed that the prototype radar system could detect humans and non‐metallic objects entering a track at a distance of about 200 m from the location of the prototype system. These results shows that the proposed system has the potential to be introduced as a new railway obstacle monitoring system using 90 GHz band millimeter‐waves and RoF technology. © 2023 The Authors. IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.
The Many Threats from Mechanistic Heterogeneity That Can Spoil Multimethod Research
Authors: Siewert Markus B. , Beach Derek 
Published: February 2023

AbstractThe combination of cross-case and within-case analysis in Multi-Method Research (MMR) designs has gained considerable traction in the social sciences over the last decade. One reason for the popularity of MMR is grounded in the idea that different methods can complement each other, in the sense that the strengths of one method can compensate for the blind spots and weaknesses of another and vice versa. In this chapter, we critically address this core premise of MMR with an emphasis on the external validity of applying some cross-case method, like standard regression or Qualitative Comparative Analysis, in combination with case study analysis. After a brief overview of the rationale of MMR, we discuss in detail the problem of deriving generalizable claims about mechanisms in research contexts that likely exhibit mechanistic heterogeneity. In doing so, we clarify what we mean by mechanistic heterogeneity and where researchers should look for potential sources of mechanistic heterogeneity. Finally, we propose a strategy for progressively updating our confidence in the external validity of claims about causal mechanisms through the strategic selection of cases for within-case analysis based on the diversity of the population.
On the impact of meson mixing on Bs → ϕee angular observables at low q2
Authors: Descotes-Genon Sébastien , Plakias Ioannis , Sumensari Olcyr 
Published: February 2023

Abstract
Decays based on the b → sγ transition are expected to yield left-handed photons in the Standard Model, but could be particularly sensitive to New Physics contributions modifying the short-distance Wilson coefficients $$ \mathcal{C} $$
C
7 and $$ \mathcal{C} $$
C
7′ defined in the low-energy Effective Field Theory. These coefficients can be determined by combining observables of several modes, among which Bs → ϕee at low q2, in a kinematic range where the photon-pole is dominant. We investigate the impact of Bs − $$ \overline{B} $$

B
¯

s mixing on the angular observables available for this mode, which induces a time-dependent modulation governed by interference terms between mixing and decay that are sensitive to the moduli and phases of $$ \mathcal{C} $$
C
7 and $$ \mathcal{C} $$
C
7′. These interference terms can be extracted through a time-dependent analysis but they also affect time-integrated observables. In particular, we show that the asymmetries $$ {A}_T^{(2)} $$

A
T

2

and $$ {A}_T^{\left(\operatorname{Im}\right); CP} $$

A
T

Im

;
CP

receive terms of potentially similar size from mixing-independent and mixing-induced terms, and we discuss how the constraints coming from the angular analysis of Bs→ ϕee at low q2 should be interpreted in the presence of mixing.
Maximally symmetric nuts in 4d 𝒩 = 2 higher derivative supergravity
Authors: Hristov Kiril 
Published: February 2023

Abstract
We initiate a systematic study of supersymmetric backgrounds in 4d 𝒩 = 2 Euclidean supergravity in the presence of infinite towers of higher derivative corrections. Adopting a Gibbons-Hawking view towards the evaluation of the action in terms of nuts and bolts, we consider the two maximally symmetric vacua ℝ4 and ℍ4 (Euclidean AdS4) and their unique supersymmetric deformations with (anti-) self-dual Maxwell tensors corresponding to a single nut at the center. These are the Omega background of Nekrasov-Okounkov, Ωℝ4, and its generalization with a cosmological constant of Martelli-Passias-Sparks, denoted Ωℍ4 (also known as the gravity dual of the U(1) × U(1) squashed sphere). We write down the BPS configurations in the superconformal formalism in the presence of vector multiplets and derive the corresponding off- and on-shell actions. Our results provide a rigorous proof for important parts of the conjecture in [1] and its holographic corollary in [2], which we discuss in detail along with extensions such as the addition of hypermultiplets and the presence of conical defects.
On metric stability of set-valued subadditive functions
Authors: Shulman Ekaterina 
Published: February 2023

AbstractIn Shulman (J Funct Anal 263:1468–1484, Theorem 2.2) the author estimated the cardinality of the global image of a subadditive map from a group to an arbitrary power set and applied the result to functional equations of Levi-Civita type (the relations of this result to covering a group by subgroups will be shortly discussed in the present paper). Here we will establish the metric stability of this theorem. Namely it will be shown that if a set-valued map F from a group G to a metric space $$(\mathcal {X}, d)$$

(
X
,
d
)

satisfies the condition $$\begin{aligned} d \left( F(gh), F(g)\cup F(h)\right) < \delta , \;\; \text {for any }\ g,h\in G \; \text { and some } \delta >0, \end{aligned}$$

d

F
(
g
h
)
,
F
(
g
)
∪
F
(
h
)

<
δ
,

for any

g
,
h
∈
G

and some

δ
>
0
,

and the cardinality of each F(g) does not exceed $$n\in \mathbb {N}$$

n
∈
N

, then the set $$F(G):= \cup _{g\in G}F(g)$$

F

(
G
)

:
=

∪

g
∈
G

F

(
g
)

can be covered by $$n(n+3)/2$$

n
(
n
+
3
)
/
2

balls of radius $$(3\cdot 6^{n-1}-1)\delta $$

(
3
·

6

n
-
1

-
1
)
δ

.
Loss of Lkb1 in CD11c+ myeloid cells protects mice from diet-induced obesity while enhancing glucose intolerance and IL-17/IFN-γ imbalance
Authors: Sun Yunyan , Wang Bing , Hu Qianwen , Zhang Haixiao , Lai Xun , Wang Tier , Zhao Chunxiao , Wang Jiali , Zhang Xi , Niu Qing , He Baolin , Jiang Erlie , Shi Mingxia , Feng Xiaoming , Luo Yuechen 
Published: February 2023

AbstractAdipose tissue CD11c+ myeloid cell is an independent risk factor associated with obesity and metabolic disorders. However, the underlying molecular basis remains elusive. Here, we demonstrated that liver kinase B1 (Lkb1), a key bioenergetic sensor, is involved in CD11c+ cell-mediated immune responses in diet-induced obesity. Loss of Lkb1 in CD11c+ cells results in obesity resistance but lower glucose tolerance, which accompanies tissue-specific immune abnormalities. The accumulation and CD80’s expression of Lkb1 deficient adipose-tissue specific dendritic cells but not macrophages is restrained. Additionally, the balance of IL-17A and IFN-γ remarkably tips towards the latter in fat T cells and CD11c− macrophages. Mechanistically, IFN-γ promotes apoptosis of preadipocytes and inhibits their adipogenesis while IL-17A promotes the adipogenesis in vitro, which might account in part for the fat gain resistant phenotype. In summary, these findings reveal that Lkb1 is essential for fat CD11c+ dendritic cells responding to HFD exposure and provides new insights into the IL-17A/IFN-γ balance in HFD-induced obesity.
A continuous in silico learning strategy to identify safety liabilities in compounds used in the leather and textile industry
Authors: March-Vila Eric , Ferretti Giacomo , Terricabras Emma , Ardao Inés , Brea José Manuel , Varela María José , Arana Álvaro , Rubiolo Juan Andrés , Sanz Ferran , Loza María Isabel , Sánchez Laura , Alonso Héctor , Pastor Manuel 
Published: February 2023

AbstractThere is a widely recognized need to reduce human activity's impact on the environment. Many industries of the leather and textile sector (LTI), being aware of producing a significant amount of residues (Keßler et al. 2021; Liu et al. 2021), are adopting measures to reduce the impact of their processes on the environment, starting with a more comprehensive characterization of the chemical risk associated with the substances commonly used in LTI. The present work contributes to these efforts by compiling and toxicologically annotating the substances used in LTI, supporting a continuous learning strategy for characterizing their chemical safety. This strategy combines data collection from public sources, experimental methods and in silico predictions for characterizing four different endpoints: CMR, ED, PBT, and vPvB. We present the results of a prospective validation exercise in which we confirm that in silico methods can produce reasonably good hazard estimations and fill knowledge gaps in the LTI chemical space. The proposed protocol can speed the process and optimize the use of resources including the lives of experimental animals, contributing to identifying potentially harmful substances and their possible replacement by safer alternatives, thus reducing the environmental footprint and impact on human health.