bluuebunny/crossref_metadata_2025_split huggingface dataset:
Differentiating paramphistome species in cattle using DNA barcoding coupled with high-resolution melting analysis (Bar-HRM)
Authors: Buddhachat Kittisak , Sri Sirikhwan , Nak-on Sirapat , Chontananarth Thapana 
Published: October 2022

Abstract
Paramphistomosis is caused by paramphistome or amphistome parasites, including Fischoederius elongatus, Gastrothylax crumenifer, Orthocoelium parvipapillatum, and Paramphistomum epiclitum. The control and prevention of these parasite outbreaks are difficult because of the wide occurrence of these species. Besides, the clinical manifestations and their egg characteristics are similar to those of other intestinal flukes in the paramphistome group, leading to misdiagnosis. Here, we employed DNA barcoding using NADH dehydrogenase (ubiquinone, alpha 1) (ND1) and cytochrome c oxidase subunit I (COI), coupled with high-resolution melting analysis (Bar-HRM), for species differentiation. As a result, ParND1_3 and ParCOI4 resulted in positive amplification in the paramphistomes and Fasciola gigantica, with significantly different melting curves for each species. The melting temperatures of each species obtained clearly differed. Regarding sensitivity, the limit of detection (LoD) for all species of paramphistomes was 1 pg/µl. Our findings suggest that Bar-HRM using ParND1_3 is highly suitable for the differentiation of paramphistome species. This approach can be used in parasite detection and epidemiological studies in cattle.
Colloidal, Room Temperature Growth of Metal Oxide Shells on InP Quantum Dots
Authors: Park Nayon , Beck Ryan , Hoang Kevin , Ladd Dylan , Abramson Jared , Rivera Ricardo , Nguyen Hao , Monahan Madison , Seidler Gerald T. , Toney Michael , Li Xiaosong , Cossairt Brandi 
Published: October 2022

Abstract
We demonstrate colloidal, layer-by-layer growth of metal oxide shells on InP quantum dots (QDs) at room temperature. First, computational modeling demonstrates that native InP surface oxides give rise to increased nonradiative pathways due to the presence of surface-localized dark states near the band edges. Replacing surface indium with zinc to form a ZnO shell results in reduced nonradiative decay and a density of states at the valence band maximum that resembles defect-free, stoichiometric InP. Motivated by these findings, we developed a synthetic strategy using stoichiometric amounts of common ALD precursors in alternating cycles. Metal oxide-shelled InP QDs show bulk and local structural perturbations as determined by X-ray diffraction extended X-ray absorption fine structure spectroscopy. Upon growing ZnSe shells of varying thickness on the oxide-shelled QDs, we observe increased photoluminescence quantum yields and narrowing of the emission linewidths, which we hypothesize to be attributable to decreased ion diffusion to the shell, as supported by P X-ray emission spectroscopy. These results present a generalizable and versatile strategy to control QD interfaces for novel heterostructure design by leveraging surface oxides. This work also contributes to our understanding of how to use structural complexity for improved PL properties of technologically relevant colloidal optoelectronic materials.
Estrous Cycle and Egg Release Resets with Light Entrainment Inspired by Neurodynamics in the Circadian Pacemaker
Authors: Gradinaru Viviana , Kahan Anat , Coughlin Gerard , Borsos Mate , Brunton Bingni 
Published: October 2022

Abstract
Jet lag, shift work, and the extended light hours of modern life disrupt the regular light-dark cycle, affecting the menstrual cycle and decreasing fertility. The circadian pacemaker, the suprachiasmatic nucleus (SCN), is known to modulate ovulation, but the exact mechanism is not understood. Here we explore this connection by imaging neuronal activity in freely-behaving mice following extrinsic (jet lag) and intrinsic circadian circuit perturbations. We show that retina-connected vasoactive intestinal peptide (VIP)-expressing neurons in the SCN directly relay light information to gonadotropin-releasing hormone (GnRH)-expressing neurons to gate ovulation, as measured by recording calcium-sensitive activity of SCNVIP neurons over days in freely behaving mice. We show with machine-learning-based discriminations that the neuronal light-synchronized activity is primarily sex-dependent, and estrous-dependent in the late afternoon. Consistent with such a light-driven switch, we find that a pulse of light in this critical period could rescue estrous cycle regularity and the number of eggs released by animals kept in limited-light conditions. Our in vivo approach thus reveals the dynamic mechanism by which SCNVIP neurons trigger ovulation and demonstrates light-induced rescue of fertility, a finding with potential therapeutic implications for humans struggling with infertility due to shift work or jet lag.
KCC2 downregulation after sciatic nerve injury enhances motor function recovery
Authors: Cheung Dennis Lawrence , Toda Takuya , Narushima Madoka , Eto Kei , Takayama Chitoshi , Ooba Tatsuko , Wake Hiroaki , Moorhouse Andrew John , Nabekura Junichi 
Published: October 2022

Abstract
Injury to mature neurons induces downregulated KCC2 expression and activity, resulting in elevated intracellular [Cl−] and depolarized GABAergic signaling. This phenotype mirrors immature neurons wherein GABA-evoked depolarizations facilitate neuronal circuit maturation. Thus, injury-induced KCC2 downregulation is broadly speculated to similarly facilitate neuronal circuit repair. We test this hypothesis in spinal cord motoneurons injured by sciatic nerve crush, using transgenic (CaMKII-KCC2) mice wherein conditional CaMKIIα promoter-KCC2 expression coupling selectively prevents injury-induced KCC2 downregulation. We demonstrate, via an accelerating rotarod assay, impaired motor function recovery in CaMKII-KCC2 mice relative to wild-type mice. Across both cohorts, we observe similar motoneuron survival and re-innervation rates, but differing post-injury reorganization patterns of synaptic input to motoneuron somas – for wild-type, both VGLUT1-positive (excitatory) and GAD67-positive (inhibitory) terminal counts decrease; for CaMKII-KCC2, only VGLUT1-positive terminal counts decrease. Finally, we recapitulate the impaired motor function recovery of CaMKII-KCC2 mice in wild-type mice via local spinal cord injections of bicuculline (GABAA receptor blockade) or bumetanide (lowers intracellular [Cl−] by NKCC1 blockade) during the early post-injury period. Thus, our results provide direct evidence that injury-induced KCC2 downregulation enhances motor function recovery and suggest an underlying mechanism of depolarizing GABAergic signaling driving adaptive neuronal circuit reconfiguration that preserves appropriate excitation-inhibition balance.
Molecular dynamics simulations of dihydroxylammonium 5,5’- bistetrazole-1,1’-diolate (TKX-50) and TKX-50-based PBXs with four energetic binders
Authors: Niu Hu , Xing Yan , Gao Hong , Chen Shusen , Jin Shaohua , Li Lijie 
Published: October 2022

Abstract
Four energetic binders, polyglycidyl nitrate (PGN), poly (3-nitratomethyl-3-methyloxetane) (PNIMMO), poly(bis(azidomethyl)oxetane) (PBAMO) and glycidyl azide polymer (GAP) were respectively mixed with dihydroxylammonium 5,5’-bistetrazole-1,1’-diolate (TKX-50), forming TKX-50 based polymer bonded explosives (PBXs). Interfacial forces (binding energies) under different temperatures, mechanical properties (tensile modulus, bulk modulus, shear modulus and Poisson’s ratio) and moldability of TKX-50-based PBXs were investigated by employing molecular dynamics (MD) simulation, the energy characteristics of TKX-50 based PBXs were calculated by C-J (Chapman-Jouguet) detonated theory. Results show that temperature has little effect on the binding energies, but the binding energies between every energetic binder and each surface of TKX-50 are different and the order of combined ability between four energetic binders and TKX-50 decrease as follows: PNIMMO > PBAMO > PGN > GAP. Compared with TKX-50, the addition of four energetic binders all make the rigidity of TKX-50 based PBXs decrease and the plasticity improve, the plastic ability rank in order of PNIMMO > PGN > GAP > PBAMO. What’s more, the moldability of TKX-50 based PBXs is obviously improved, the increasing order is PGN > PNIMMO > PBAMO > GAP. Finally, the detonation performances indicate that compared with common binder, the addition of the energetic binder makes TKX-50-based PBXs have higher energy under the same condition.
The role of community healthcare professionals in discussing sexual assault experiences during obstetrics and gynecological healthcare appointments
Authors: DeMaria Andrea L. , Meier Stephanie , King Hannah , Sidorowicz Haley , Seigfried-Spellar Kathryn C , Reese Laura Schwab 
Published: October 2022

Abstract
Background
Nearly half of adult women in the US report experiencing sexual assault, with almost one-fifth reporting rape. For many victims of sexual assault, healthcare professionals are the first point of contact and disclosure. The purpose of this study was to understand how healthcare professionals working in community settings perceived their role in discussing sexual violence experiences with women during obstetrics and gynecological healthcare appointments. The secondary purpose was to compare healthcare professionals’ perspectives with those of the patient to determine how sexual violence conversations should occur in these environments.
Methods
Data were collected in two phases. Phase 1 consisted of 6 focus groups (Sept-Dec, 2019) with women aged 18–45 (n = 22) living in Indiana who sought community-based or private healthcare for women’s reproductive healthcare needs. Phase 2 included 20 key-informant interviews with non-physician healthcare professionals (i.e., NP, RN, CNM, doula, pharmacist, chiropractor) living in Indiana (September 2019-May 2020) who provided community-based women’s reproductive healthcare. Focus groups and interviews were audio-recorded, transcribed, and analyzed using thematic analyses. HyperRESEARCH assisted in data management and organization.
Results
There were three resulting themes: (1) healthcare professionals’ approaches to screening for a history of sexual violence varied depending on how they ask, what setting they work in, and type of professional is doing the asking; (2) healthcare experiences can compound traumatic experiences and create distrust with survivors; and (3) sexual violence impacts patient healthcare experiences through what services they seek, how professionals may interact with them, and what professionals they are willing to utilize.
Conclusions
Findings offered insight into actionable and practical strategies for enhancing sexual violence screening and discussions in community-based women’s reproductive health settings. The findings offer strategies to improve by addressing barriers and facilitators among community healthcare professionals and the people they serve. Incorporating healthcare professionals’ and patient experiences and preferences for violence-related discussions during obstetrics and gynecological healthcare appointments can assist in violence prevention efforts, improve patient-professional rapport, and yield better health outcomes.
Students’ Perception of Asynchronous versus Synchronous Distance Learning during COVID-19 Pandemic in a Medical College, Southwestern Region of Saudi Arabia
Authors: Alzahrani Hassan A. , Shati Ayed A. , Bawahab Mohammed A. , Alamri Abdulaziz A. , Hassan Bahaeldin , Patel Ayyub A. , Ahmad Muhammad T. , Maksoud Walid Abd El , Alsaleem Mohammed A. 
Published: October 2022

Abstract
Background:The Covid-19 pandemic has forced educational institutes to shift from conventional in-campus learning to online learning. Two common modes adopted are giving real-time online lectures (synchronous) or providing recorded lectures and reading material to the students (asynchronous). This study was done to determine medical students’ satisfaction with the online learning experiences both synchronous and asynchronous during the COVID-19 Pandemic.
Methodology:This cross-sectional questionnaire-based study was conducted on 122 final-year medical students studying at the College of Medicine, King Khalid University, Abha, Saudi Arabia. An online 5-point Likert scale-based questionnaire was used to collect data regarding experience and perception towards synchronous and asynchronous learning. Statistical analysis was done using Statistical Package for Social Sciences (SPSS) version 21.0. A P-value less than 0.05 was considered significant.
Result:All the students found both synchronous and asynchronous learning to be equally satisfying, enjoying and comfortable. No statistical significance was found when both the methods were analyzed for enhancement of knowledge. The students opined that asynchronous learning helped them manage their time better whereas synchronous learning encouraged more interaction during the live lectures.
Conclusion: Overall, the student's response to both synchronous and asynchronous learning was positive. As both methods have their advantages, an integrated approach of both synchronous and asynchronous methods may be adopted depending upon the content of the topic and the learning outcomes.
A Sparsity Reconstruction Algorithm of Electromagnetic Tomography Technique for High Conductivity Medium Imaging
Authors: Liu Xianglong , Li Danyang , Wang Ying , Ren Hangli 
Published: October 2022

Abstract
Electromagnetic tomography (EMT) is a versatile tomographic imaging technique for reconstruction of conductivity and/or permeability distribution due to the advantages of non-contact, non-intrusive, low-cost, simple structure and fast imaging. However, the ill-posed and ill-conditioned features of EMT make it difficult to obtain high quality reconstructed images. To improve the spatial resolution of the high conductivity medium imaging, the L1-L1 framework objective function is presented, which uses L1 norm as both data fidelity term and regularization term to weaken the influence of the data outliers and impose the sparsity feature of the measured objects. An improved Split Bregman method is proposed to solve the complicated optimization problem efficiently, which splits it into several simple sub-tasks. Each subtask can be solved by adopting the proper method. Besides, an acceleration strategy is introduced to improve the convergence rate. Numerical simulations are used to verify the effectiveness and competitive performance of the proposed improved method. The experiments are carried out by the designed modularized EMT system to further verify the effectiveness of the proposed method. The reconstructed images can precisely show the number and positions of the measured objects.
A Small Fishing Vessel Recognition Method using Transfer Learning based on Laser Sensors
Authors: Zheng Jianli , Yuan Kun , Liu Yang 
Published: October 2022

Abstract
The management of small vessels has always been key to maritime administration. This paper presents a novel method for recognizing small fishing vessels based on laser sensors. Using four types of small fishing vessels as targets, a recognition method for small fishing vessels based on Markov transition field (MTF) time-series images and VGG-16 transfer learning is proposed. In contrast to conventional methods, this study uses polynomial fitting to obtain the contours of a fishing vessel and transforms one-dimensional vessel contours into two-dimensional time-series images using the MTF coding method. The VGG-16 model is used for the recognition process, and migration learning is applied to improve the results. The UCR time-series public dataset is used as a transfer learning dataset for the MTF time-series image encoding. The experiment demonstrates that the proposed method exhibits higher accuracy and performance than 1D-CNN and other general neural network models, and the highest accuracy rate is 98.92%.
Swin Unet3D: A three-dimensional medicalimage segmentation network combiningVision Transformer and Convolution
Authors: Cai Yimin , Long Yuqing , Han Zhenggong , Liu Mingkun , Zheng Yuchen , Yang Wei , Chen Limin 
Published: October 2022

Abstract
Semantic segmentation of brain tumors plays a critical role in clinical treatment, especially for three-dimensional (3D) magnetic resonanceimaging (MRI), which is often used in clinical practice. Automatic segmentation of the 3D structure of brain tumors can quickly help physiciansunderstand the properties of tumors, such as the shape and size, thusimproving the efficiency of preoperative planning and the odds of successful surgery. In past decades, 3D convolutional neural networks (CNNs)have dominated automatic segmentation methods for 3D medical images,and these network structures have achieved good results. However, toreduce the number of neural network parameters, practitioners ensurethat the size of convolutional kernels in 3D convolutional operations generally does not exceed 7×7×7, which also leads to the inability of CNNsto learn long-distance dependency information. Vision Transformer(ViT) is very good at learning long-distance dependent information inimages, but it suffers from the problems of many parameters and a lackof inductive bias to recover short-distance dependence information. This paper proposes the Swin Unet3D model, which represents voxel segmentation on medical images as a sequence-to-sequence prediction. Thefeature extraction sub-module in the model is designed as a parallel structure of Convolution and Vision Transformer (ViT) so that the modelcan learn both long-distance dependency and short-distance dependencyinformation in images comprehensively. On the Brats2021 challengedataset, we conducted comparison experiments with other existing models using the same hyperparameters; the experimental results showthat our proposed model achieves better segmentation results. Thecode can be found at https://github.com/1152545264/SwinUnet3D.
In silico and in vitro Studies Confirm Ondansetron as a Novel Acetylcholinesterase and Butyrylcholinesterase Inhibitor
Authors: Gholami Asma , Minai-Tehrani Dariush , Eriksson Leif A. 
Published: October 2022

Abstract
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that is growing rapidly among the elderly population around the world. Studies show that a lack of acetylcholine and butyrylcholine due to the overexpression of enzymes Acetylcholinesterase (AChE) and Butyrylcholinesterase (BChE) may lead to reduced communication between neuron cells. As a result, seeking novel inhibitors targeting these enzymes might be vital for future treatment of AD. Ondansetron is used to prevent nausea and vomiting caused by chemotherapy or radiation treatments, and is herein shown to be a potent inhibitor of cholinesterase. Comparison is made between Ondansetron and FDA-approved cholinesterase inhibitors Rivastigmine and Tacrine. Molecular docking demonstrates that interactions between the studied ligand and aromatic residues in the peripheral region of the active site are important in binding. Molecular dynamics simulations and binding pose metadynamics show that Ondansetron is highly potent against both enzymes, and far better than Rivastigmine. Inhibitor activities evaluated by in vitro studies confirm that the drug inhibits AChE and BChE by non-competitive and mixed inhibition, respectively, with IC50 values 33 µM (AChE) and 2.5 µM (BChE). Based on the findings, we propose that Ondansetron may have therapeutic applications in inhibiting cholinesterase, especially for BChE.
Tumor-infiltrating T cells as a risk factor for lymph node metastasis in patients with submucosal colorectal cancer
Authors: Kitakaze Masatoshi , Fujino Shiki , Miyoshi Norikatsu , Sekido Yuki , Hata Tsuyoshi , Ogino Takayuki , Takahashi Hidekazu , Uemura Mamoru , Mizushima Tsunekazu , Doki Yuichiro , Eguchi Hidetoshi 
Published: October 2022

Abstract
Approximately 10% of patients with colorectal cancer with submucosal invasion have lymph node metastasis. Pathological risk factors for lymph node metastasis have varying sensitivities and specificities. To predict the risk of lymph node metastasis, the identification of new risk factors is vital. Tumor-infiltrating T cells have been reported to improve the prognosis of many solid tumors. Therefore, the purpose of this study was to examine the relationship between lymph node metastasis and tumor-infiltrating T cells in patients with colorectal cancer with submucosal invasion. We examined CD8+ tumor-infiltrating T cells level as a risk factor for lymph node metastasis in patients with colorectal cancer with submucosal invasion and showed that low CD8+ tumor-infiltrating T cells levels are positively correlated with lymph node metastasis. Furthermore, by combining the number of CD8+ and CD103+ tumor-infiltrating T cells, the results showed a high positive predictive value for lymph node metastasis in cases with low numbers of both types of tumor-infiltrating T cells and a high negative predictive value in cases with high numbers of both types of tumor-infiltrating T cells, indicating that we were likely able to validate an effective subset of CD8 T cells.
Growth kinetics of Lactobacillus acidophilus CDBB-B-1893 during the anaerobic biotransformation process of agro-sugarcane waste
Authors: Romero-Mota Diana Ibeth , Estrada-García Joaquín , Alvarado-Lassman Alejandro , Méndez-Contreras Juan Manuel 
Published: October 2022

Abstract

Agro-sugarcane Waste (ASW) is generated during manual harvest of sugarcane and burning, this represents an environmental issue due greenhouses gases are generated, and they are not treated correctly but represent a rich source of nutrients to obtain valuable biological products with an economic and environmental interest. However, there are few works that have reported information on the growth kinetics of the process to obtain subproducts and their advantages. The aim of this study was to develop growth kinetics of Lactobacillus acidophilus CDBB-B-1893 during the anaerobic bioconversion process of ASW, which was carried out in a laboratory-scale stainless steel reactor with a capacity of 5 L at different agitation speeds 100, 150, and 200 rpm at 37°C by 72 h, and kinetics parameters were obtained by Gompertz, Gompertz Generalized, and Logistic models. Considering an initial carbohydrate concentration of 58.46 g L− 1, at 100 rpm a µmax of 0.2164 h− 1 was calculated, and 54.16 g LA L− 1 (0.8740 g LA g carbohydrates− 1), and 154.65 g biomass L− 1 were produced. The kinetics parameters values for anaerobic biotransformation process of sugarcane residues let propose operation conditions to maximizer LA and biomass production and represent an attractive strategy to obtain high value-added products in both phases of the final product, which is obtained without greenhouses gases production.