Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of High-Intensity Intermittent Exercise Training on Appetite Regulation.

OBJECTIVE An acute bout of high-intensity intermittent exercise suppresses ad libitum energy intake at the postexercise meal. The present study examined the effects of 12 wk of high-intensity intermittent exercise training (HIIT) compared with moderate-intensity continuous exercise training (MICT) on appetite regulation. METHODS Thirty overweight inactive men (body mass index, 27.2 ± 1.3 kg·m(-2); V˙O2peak, 35.3 ± 5.3 mL·kg(-1)·min(-1) were randomized to either HIIT or MICT (involving 12 wk of training, three sessions per week) or a control group (CON) (n = 10 per group). Ad libitum energy intake from a laboratory test meal was assessed after both a low-energy (847 kJ) and a high-energy preload (2438 kJ) before and after the intervention. Perceived appetite and appetite-related blood variables were also measured. RESULTS There was no significant effect of the intervention period on energy intake at the test meal after the two different preloads (P ≥ 0.05). However, the 95% confidence interval indicated a clinically meaningful decrease in energy intake after the high-energy preload compared with the low-energy preload in response to HIIT (516 ± 395 kJ decrease), but not for MICT or CON, suggesting improved appetite regulation. This was not associated with alterations in the perception of appetite or the circulating concentration of a number of appetite-related peptides or metabolites, although insulin sensitivity was enhanced with HIIT only (P = 0.003). CONCLUSIONS HIIT seems to benefit appetite regulation in overweight men. The mechanisms for this remain to be elucidated.
The Role of Disulfide Bond Replacements in Analogues of the Tarantula Toxin ProTx-II and Their Effects on Inhibition of the Voltage-Gated Sodium Ion Channel Nav1.7

Spider venom toxins, such as Protoxin-II (ProTx-II), have recently received much attention as selective Nav1.7 channel blockers, with potential to be developed as leads for the treatment of chronic nocioceptive pain. ProTx-II is a 30-amino acid peptide with three disulfide bonds that has been reported to adopt a well-defined inhibitory cystine knot (ICK) scaffold structure. Potential drawbacks with such peptides include poor pharmacodynamics and potential scrambling of the disulfide bonds in vivo. In order to address these issues, in the present study we report the solid-phase synthesis of lanthionine-bridged analogues of ProTx-II, in which one of the three disulfide bridges is replaced with a thioether linkage, and evaluate the biological properties of these analogues. We have also investigated the folding and disulfide bridging patterns arising from different methods of oxidation of the linear peptide precursor. Finally, we report the X-ray crystal structure of ProTx-II to atomic resolution; to our knowledge this is the first crystal structure of an ICK spider venom peptide not bound to a substrate.
The immune landscape of high-grade brain tumor after treatment with immune checkpoint blockade

Despite the therapeutic success of immune checkpoint blockade (ICB) therapy against multiple tumors, many patients still do not benefit from ICB. In particular, high-grade brain tumors, such as glioblastoma multiforme (GBM), have a very low response rate to ICB, resulting in several failed clinical trials. This low response rate might be caused by a lack of understanding of the unique characteristics of brain immunity. To overcome this knowledge gap, macroscopic studies of brain immunity are needed. We use single cell RNA sequencing to analyze the immune landscape of the tumor microenvironment (TME) under anti-PD-1 antibody treatment in a murine GBM model. We observe that CD8 T cells show a mixed phenotype overall that includes reinvigoration and re-exhaustion states. Furthermore, we find that CCL5 induced by anti-PD-1 treatment might be related to an increase in the number of anti-inflammatory macrophages in the TME. Therefore, we hypothesize that CCL5-mediated recruitment of anti-inflammatory macrophages may be associated with re-exhaustion of CD8 T cells in the TME. We compare our observations in the murine GBM models with publicly available data from human patients with recurrent GBM. Our study provides critical information for the development of novel immunotherapies to overcome the limitations of anti-PD-1 therapy.
Nonconservative behavior of dissolved molybdenum and its potential role in nitrogen cycling in the Bohai and Yellow Seas

Molybdenum plays an important role in marine biological activity, especially in nitrogen cycling as a cofactor for N2 fixation and nitrate reductase. However, the dissolved Mo (dMo) behavior and its interaction with N cycling in the coastal waters is still unclear. In this study, the dMo concentrations and parameters related to Mo distribution and N cycling in surface and bottom seawaters of the Bohai (BS) and Yellow Seas (YS) were examined. The results showed that dMo concentrations ranged from 36.4 nmol L-1 to 125.0 nmol L-1, most of which deviated significantly from the conservative line, indicating nonconservative behavior of Mo relative to salinity. The highest dMo concentrations occurring in 36°N section of north of the South YS (SYS), were close to conservative value (105 nmol L-1). Significant depletion up to 40-50 nmol L-1 of dMo mainly appeared in the BS, NYS and south of the SYS, suggesting the possible removal of dMo by biological utilization and particle adsorption. Particularly, the increasing dMo concentrations away the Yellow River estuary indicated that freshwater dilution was one of reasons for dMo distributions in the BS. The similar spatial distribution of dMo and dissolved Mn concentrations suggested the possible scavenging by MnOx phases for Mo removal. The negative correlation between dMo and chlorophyll-a (Chl-a) concentrations in surface seawaters suggested that biological uptake was involved in dMo removal. The depleted dMo in most of sites corresponded with the higher nitrite concentrations, implying the possible involvement of nitrate reduction process. Although the highest N2 fixation rates and relative abundances of cyanobacteria appeared in 36°N section, corresponding with the conservative dMo, suggesting that Mo may play a minor role in N2 fixation process there. The ten-folds of relative abundance of bacteria with nitrate reduction function than that with N2 fixation function suggested that dMo seems to play more important role in nitration reduction than nitrogen fixation in the BS and YS.
A Locally Developed Snakebite Management Protocol Significantly Reduces Overall Anti Snake Venom Utilization in West Bengal, India

Abstract Objective. —The purpose of this study was to determine the impact of a nationally developed snakebite treatment protocol on the amount of anti snake venom (ASV) used in treating snakebites in a developing country and its effect on mortality. In addition, basic epidemiology data were collected and analyzed. Methods. —Experts in Indian snakebites developed a protocol specifically designed for snakebite treatment in India. A training program was implemented in Midnapore Medical College in West Bengal, India, under the direction of the Health Minister to train care providers in the new protocol. After training, data were collected for 839 snakebite victims over a 12-month period and included epidemiological data, ASV volumes administered, and mortality. The results were collated and compared with results calculated from 780 snakebite victims treated during the 12-month period before implementation of the protocol. Treatment prior to protocol implementation was based on knowledge gained by the care providers from western and forensic medicine textbooks. Results. —Protocol-guided treatment resulted in a 66% decline in the amount of ASV administered to victims. Fewer victims received ASV based on rational guidelines for assessing envenomation, dosage and repeat dosage, and clear endpoints to ASV therapy. In addition, there was a trend towards reduced mortality and an absolute reduction of 24%. Conclusion. —Use of the protocol reduced ASV utilization and the number of deaths. Locally developed protocols should be encouraged by such organizations as the World Health Organization and national and state governments and should be established with significant input from local experts.
Distinction of non-specific low back pain patients with proprioceptive disorders from healthy individuals by linear discriminant analysis

The central nervous system (CNS) dynamically employs a sophisticated weighting strategy of sensory input, including vision, vestibular and proprioception signals, towards attaining optimal postural control during different conditions. Non-specific low back pain (NSLBP) patients frequently demonstrate postural control deficiencies which are generally attributed to challenges in proprioceptive reweighting, where they often rely on an ankle strategy regardless of postural conditions. Such impairment could lead to potential loss of balance, increased risk of falling, and Low back pain recurrence. In this study, linear and non-linear indicators were extracted from center-of-pressure (COP) and trunk sagittal angle data based on 4 conditions of vibration positioning (vibration on the back, ankle, none or both), 2 surface conditions (foam or rigid), and 2 different groups (healthy and non-specific low back pain patients). Linear discriminant analysis (LDA) was performed on linear and non-linear indicators to identify the best sensory condition towards accurate distinction of non-specific low back pain patients from healthy controls. Two indicators: Phase Plane Portrait ML and Entropy ML with foam surface condition and both ankle and back vibration on, were able to completely differentiate the non-specific low back pain groups. The proposed methodology can help clinicians quantitatively assess the sensory status of non-specific low back pain patients at the initial phase of diagnosis and throughout treatment. Although the results demonstrated the potential effectiveness of our approach in Low back pain patient distinction, a larger and more diverse population is required for comprehensive validation.
Bailout Percutaneous External Shunt to Restore Carotid Flow in a Patient with Acute Type A Aortic Dissection and Carotid Occlusion

Purpose: To report the use of an external common femoral to carotid artery shunt in the setting of acute type A aortic dissection associated with carotid occlusion and stroke. Technique: The procedure is illustrated in a 52-year-old man who presented with a type A dissection extending into the innominate trunk, with associated occlusion of the right common carotid artery (CCA). Angiography showed no collateral circulation to the right cerebral hemisphere. To re-establish brain perfusion in this setting, a percutaneous external shunt was installed from the common femoral artery to the right CCA. The 5-F femoral sheath used during diagnostic angiography was replaced by an 8-F femoral introducer securely fixed to the skin with silk sutures. Ultrasound-guided percutaneous CCA access was obtained using an 18-G needle and a 6-F introducer, also sutured to the skin. The ICA and intracranial branches showed no evidence of thrombosis at this level. A plastic tube was used to connect the femoral and carotid sheath side arms to restore ICA flow. Transcranial Doppler showed normal flow at the right middle cerebral artery after shunt placement. The patient was immediately transferred to the operating room for aortic surgery, during which an intrapericardially ruptured aorta was found. The ascending aorta and proximal arch were replaced under cardiopulmonary bypass and circulatory arrest, but the patient died during the procedure due to uncontrolled bleeding. Conclusion: A temporary percutaneous external femoral-carotid shunt can restore blood flow to the brain whenever the carotid artery is occluded by the dissection flap and adequate collateral flow is absent.
The Effect of Various Carbohydrate Supplements on Postprandial Blood Glucose Response in Female Soccer Players

v Chapter 1: Introduction 1 Purpose 2 Study Variables 2 Hypotheses 3 Limitations 4 Delimitations 4 Chapter 2: Review of Literature 5 Introduction 5 Digestion and Absorption of Carbohydrates 6 Effect of Carbohydrate Ingestion on Blood Glucose Response 8 Impact of Carbohydrate Digestions on Endurance Performance 11 Influence of Carbohydrate Ingestion on High-Intensity Intermittent Exercise Performance 15 Present and Future Research on Carbohydrate Supplementation in Athletes 18 Conclusion 19 Chapter 3: Methods 20 Study Design 20 Participants 20 Instrumentation and Equipment 21 Procedures 21 Statistical Analysis 23 Chapter 4: Results 24 Baseline Blood Glucose 24 Blood Glucose at 30 Minutes 24 Blood Glucose at 45 Minutes 25 Blood Glucose at 60 Minutes 25 Blood Glucose at 90 Minutes 26 Blood Glucose at 120 Minutes 26 Blood Glucose at 180 Minutes 27
New Insights into Activity Patterns in Children, Found Using Functional Data Analyses.

INTRODUCTION/PURPOSE Continuous monitoring of activity using accelerometers and other wearable devices provides objective, unbiased measurement of physical activity in minute-by-minute or finer resolutions. Accelerometers have already been widely deployed in studies of healthy aging, recovery of function after heart surgery, and other outcomes. Although common analyses of accelerometer data focus on single summary variables, such as the total or average activity count, there is growing interest in the determinants of diurnal profiles of activity. METHODS We use tools from functional data analysis (FDA), an area with an established statistical literature, to treat complete 24-h diurnal profiles as outcomes in a regression model. We illustrate the use of such models by analyzing data collected in New York City from 420 children participating in a Head Start program. Covariates of interest include season, sex, body mass index z-score, presence of an asthma diagnosis, and mother's birthplace. RESULTS The FDA model finds several meaningful associations between several covariates and diurnal profiles of activity. In some cases, including shifted activity patterns for children of foreign-born mothers and time-specific effects of asthma on activity, these associations exist for covariates that are not associated with average activity count. CONCLUSION FDA provides a useful statistical framework for settings in which the effect of covariates on the timing of activity is of interest. The use of similar models in other applications should be considered, and we make code public to facilitate this process.
Diagnostic model constructed by nine inflammation-related genes for diagnosing ischemic stroke and reflecting the condition of immune-related cells

Background Ischemic cerebral infarction is the most common type of stroke with high rates of mortality, disability, and recurrence. However, the known diagnostic biomarkers and therapeutic targets for ischemic stroke (IS) are limited. In the current study, we aimed to identify novel inflammation-related biomarkers for IS using machine learning analysis and to explore their relationship with the levels of immune-related cells in whole blood samples. Methods Gene expression profiles of healthy controls and patients with IS were download from the Gene Expression Omnibus. Analysis of differentially expressed genes (DEGs) was performed in healthy controls and patients with IS. Single-sample gene set enrichment analysis was performed to calculate inflammation scores, and weighted gene co-expression network analysis was used to analyze genes in significant modules associated with inflammation scores. Key DEGs in significant modules were then analyzed using LASSO regression analysis for constructing a diagnostic model. The effectiveness and specificity of the diagnostic model was verified in healthy controls and patients with IS and with cerebral hemorrhage (CH) using qRT-PCR. The relationship between diagnostic score and the levels of immune-related cells in whole blood were analyzed using Pearson correlations. Results A total of 831 DEGs were identified. Both chronic and acute inflammation scores were higher in patients with IS, while 54 DEGs were also clustered in the gene modules associated with chronic and acute inflammation scores. Among them, a total of 9 genes were selected to construct a diagnostic model. Interestingly, RT-qPCR showed that the diagnostic model had better diagnostic value for IS but not for CH. The levels of lymphocytes were lower in blood of patients with IS, while the levels of monocytes and neutrophils were increased. The diagnostic score of the model was negatively associated with the levels of lymphocytes and positively associated with levels of monocytes and neutrophils. Conclusions Taken together, the diagnostic model constructed using the inflammation-related genes TNFSF10, ID1, PAQR8, OSR2, PDK4, PEX11B, TNIP1, FFAR2, and JUN exhibited high and specific diagnostic value for IS and reflected the condition of lymphocytes, monocytes, and neutrophils in the blood. The diagnostic model may contribute to the diagnosis of IS.
Splenic rupture in neonate with hemolytic anemia

Splenic rupture is relatively a rare and life threatening situation in the newborn. The classic triad of the disease is shock, anemia, and abdominal distension. Non-traumatic etiologies are seldom and one of them is exchange transfusion which was performed due to underlying erythroblastosis fetalis as discussed. A high index of suspicion and prompt treatment are critical to the survival of these neonates.
FlowChecker: configuration analysis and verification of federated openflow infrastructures

It is difficult to build a real network to test novel experiments. OpenFlow makes it easier for researchers to run their own experiments by providing a virtual slice and configuration on real networks. Multiple users can share the same network by assigning a different slice for each one. Users are given the responsibility to maintain and use their own slice by writing rules in a FlowTable. Misconfiguration problems can arise when a user writes conflicting rules for single FlowTable or even within a path of multiple OpenFlow switches that need multiple FlowTables to be maintained at the same time. In this work, we describe a tool, FlowChecker, to identify any intra-switch misconfiguration within a single FlowTable. We also describe the inter-switch or inter-federated inconsistencies in a path of OpenFlow switches across the same or different OpenFlow infrastructures. FlowChecker encodes FlowTables configuration using Binary Decision Diagrams and then uses the model checker technique to model the inter-connected network of OpenFlow switches.
Assessment of Occupational Functioning for Screening of Patients to Occupational Therapy in General Psychiatric Care

A Swedish version of the Occupational Case Analysis Interview and Rating Scale (OCAIRS-S) has been tested earlier for interrater reliability. The present study, using the second version of OCAIRS-S and including a sample of 145 patients, showed interrater correlations between . 88 and . 96 (Intraclass Correlation Coefficient). The results indicate that OCAIRS-S predicts which patients should be included in and excluded from occupational therapy and identifies patients who should be observed more before making such decisions. The study indicates a need for further investigations regarding which components in OCAIRS-S influence the occupational therapist in judging the patient's need for occupational therapy.
Phase Segregation in Cs-, Rb- and K-Doped Mixed-Cation (MA)x(FA)1–xPbI3 Hybrid Perovskites from Solid-State NMR

Hybrid (organic–inorganic) multication lead halide perovskites hold promise for a new generation of easily processable solar cells. Best performing compositions to date are multiple-cation solid alloys of formamidinium (FA), methylammonium (MA), cesium, and rubidium lead halides which provide power conversion efficiencies up to around 22%. Here, we elucidate the atomic-level nature of Cs and Rb incorporation into the perovskite lattice of FA-based materials. We use 133Cs, 87Rb, 39K, 13C, and 14N solid-state MAS NMR to probe microscopic composition of Cs-, Rb-, K-, MA-, and FA-containing phases in double-, triple-, and quadruple-cation lead halides in bulk and in a thin film. Contrary to previous reports, we have found no proof of Rb or K incorporation into the 3D perovskite lattice in these systems. We also show that the structure of bulk mechanochemical perovskites bears close resemblance to that of thin films, making them a good benchmark for structural studies. These findings provide fundamental understanding of previously reported excellent photovoltaic parameters in these systems and their superior stability.
Case studies in cannabis vaporization

Cannabis remains the world's most popular illicit drug despite its documented contribution to respiratory problems. The vaporizer heats cannabis without igniting it. Previous work suggests that vaporizers have the potential to minimize respiratory irritation, but it has not been used as an intervention yet. We sought to establish the feasibility of the vaporizer as an intervention for cannabis smokers with respiratory problems. Four cannabis users who reported respiratory symptoms (including two tobacco smokers) agreed to stop smoking cannabis and use the vaporizer for 1 month. The vaporizer appeared to be a practical and acceptable method for the administration of cannabis in users with respiratory problems. After 1 month of vaporizer use, self-reported respiratory symptoms improved dramatically. Measures of lung function (forced expiratory volume (FEV1) and forced vital capacity (FVC)) showed more modest improvements. Vaporizing proved reactive for tobacco smokers, leading them to decrease cigarette smoking and confounding interpretations of improvement. Nevertheless, those who smoked cannabis exclusively also benefited from the vaporizer. We attempted a reversal design where participants would then return to smoking but all refused. These results suggest that the cannabis vaporizer is acceptable to users, and has the potential to decrease cannabis-related respiratory problems. The device may increase awareness about respiratory health in cannabis users who also smoke cigarettes. Randomized control trials with large samples of users and longer durations of vaporizing appear warranted. Given the reactive effect of the vaporizer on tobacco use, such trials may have to focus initially on those who smoke cannabis but not tobacco.
Evolution and sustainability of a wildlife monitoring sensor network

As sensor network technologies become more mature, they are increasingly being applied to a wide variety of applications, ranging from agricultural sensing to cattle, oceanic and volcanic monitoring. Significant efforts have been made in deploying and testing sensor networks resulting in unprecedented sensing capabilities. A key challenge has become how to make these emerging wireless sensor networks more sustainable and easier to maintain over increasingly prolonged deployments. In this paper, we report the findings from a one year deployment of an automated wildlife monitoring system for analyzing the social co-location patterns of European badgers (Meles meles) residing in a dense woodland environment. We describe the stages of its evolution cycle, from implementation, deployment and testing, to various iterations of software optimization, followed by hardware enhancements, which in turn triggered the need for further software optimization. We report preliminary descriptive analyses of a subset of the data collected, demonstrating the significant potential our system has to generate new insights into badger behavior. The main lessons learned were: the need to factor in the maintenance costs while designing the system; to look carefully at software and hardware interactions; the importance of a rapid initial prototype deployment (this was key to our success); and the need for continuous interaction with domain scientists which allows for unexpected optimizations.