Hand grip strength as a nutritional assessment tool

Hand grip strength (HGS) is a new nutritional assessment parameter proposed by American Society for Parenteral and Enteral Nutrition (ASPEN) and the Academy of Nutrition and Dietetics (the Academy) for diagnosis of adult malnutrition related to acute illnesses, chronic diseases or starvation. Identification of ≥2 of the following conditions is considered to be malnourishment – weight loss, loss of muscle mass, loss of subcutaneous fat, fluid accumulation, diminished HGS and inadequate energy intake. HGS is also a marker of sarcopenia, a condition defined by low muscle mass and low muscle strength or performance, as identified by the European Working Group on Sarcopenia in Older People. It has also been shown that lower HGS is associated with deficits in activities of daily living (ADL) and mobility. HGS is emerging as an important screening tool especially in the malnourished and aging population. This research evaluates the applicability of HGS as a nutrition screening tool in long-term care older adults. Data from a total of 129 participants age ≥60 years involved in an ongoing walking program in long-term care facilities in Saskatoon available for analysis at the time this work was undertaken. Participants were randomly assigned for an intervention period of 16 weeks to one of three study groups: 1) Usual Care Group, 2) Interpersonal Interaction Group, and 3) Walking Program Group. Activity of daily living, cognition and depression scores and hand grip strength were recorded at baseline and every eight weeks. Information on vitamin D intake status prior to study commencement was also collected. This study provides values of low grip strength similar to those defined for the risk of sarcopenia in frail older adults. Stronger baseline HGS was correlated with greater ADL independence in females (B=0.079, P=0.044). Greater ability to eat at baseline was also associated with stronger grip in females when cognition status was taken into consideration. Baseline ADL (B=-0.024) and HGS (B=1.004) were significant predictors of subsequent ADL and HGS, respectively, in males (P<0.01). Baseline HGS was associated with subsequent ADL and HGS in females, but such association was modified by other covariates. In summary, if grip strength is to be used as a nutritional screening tool in long-term care facilities, dietitians shall be cautious of other factors such as the residents’ cognitive status and age and use in conjunction with other nutrition assessment methods

CAN LABORATORY-BASED BIOMECHANICAL TEST RESULTS REFLECT THE PERCEIVED COMFORT DURING OVERGROUND RUNNING?

The purpose of this study was to measure the relationship between laboratory-based biomechanical test results and the perceived comfort of subjects obtained from overground running. Twelve male runners were recruited (age=20.3 ± 0.8 years, weight=61.1 ± 5.1 kg, height=171 ± 4 cm). They participated in three tests: Heel Cushioning Test, Rearfoot Movement Test, and Perceived Comfort Test. Human pendulum device with a controlled impact velocity at 1.15m/s was used in the first test to measure the heel cushioning properties. A digital camera was located posterior to the treadmill to record the rearfoot movement in the second test. And a questionnaire that consisted of three questions was used to measure the percevied comfort after overground running. The correlations between variables of Heel Cushioning Test and Perceived Comfort Test ranged from low (r = 0.118) to mediate (r = -0.564), and the correlations between variables of Rearfoot Movement Test and Perceived Comfort Test ranged from low (r = 0.160) to mediate (r = -0.563). Peak force plays an important role in determining the comfort rating. Loading rate was negatively related to perceived comfort in heel cushioning. Total rearfoot motion was found to contribute most in perceived comfort in medio-lateral control

Deep Convolutional Pooling Transformer for Deepfake Detection

Recently, Deepfake has drawn considerable public attention due to security and privacy concerns in social media digital forensics. As the wildly spreading Deepfake videos on the Internet become more realistic, traditional detection techniques have failed in distinguishing between real and fake. Most existing deep learning methods mainly focus on local features and relations within the face image using convolutional neural networks as a backbone. However, local features and relations are insufficient for model training to learn enough general information for Deepfake detection. Therefore, the existing Deepfake detection methods have reached a bottleneck to further improve the detection performance. To address this issue, we propose a deep convolutional Transformer to incorporate the decisive image features both locally and globally. Specifically, we apply convolutional pooling and re-attention to enrich the extracted features and enhance efficacy. Moreover, we employ the barely discussed image keyframes in model training for performance improvement and visualize the feature quantity gap between the key and normal image frames caused by video compression. We finally illustrate the transferability with extensive experiments on several Deepfake benchmark datasets. The proposed solution consistently outperforms several state-of-the-art baselines on both within- and cross-dataset experiments.Comment: Accepted to be published in ACM TOM

COMPARISON OF LANDING MANEUVERS BETWEEN SKILLFUL AND UNSKILLFUL FEMALE VOLLEYBALL PLAYERS

This study was to investigate the effect of training to the landing techniques of volleyball spike. Six female subjects were separated into two groups according to their experiences in playing volleyball. Kinematics parameters during landing phase were collected by using three-dimensional motion analysis technique. Pedar insole system with 50 Hz sampling frequency was employed to measure the insole peak force and pressure distribution. Significant differences were found in maximum impact force and peak pressure between the skillful and unskillful group. Skillful group also demonstrated a greater range of motion in the knee, hip and ankle joint respectively. The finding shows that the skillful group, who participated in regular volleyball, demonstrated a greater ability in reducing ground reaction force during landing, thus leading to a protective mechanism in preventing injury

Different WDR36 Mutation Pattern in Chinese Patients with Primary Open-angle Glaucoma

Purpose: To determine the distribution of WD repeat domain 36 (WDR36) sequence variants in Chinese patients with primary open-angle glaucoma (POAG). Methods: One hundred and thirty-five unrelated POAG patients (82 high tension glaucoma [HTG], 42 normal tension glaucoma [NTG], and 11 juvenile-onset POAG [JOAG] patients) and 77 unrelated controls were recruited. All 23 coding exons and splicing junctions of WDR36 were sequenced using BigDye® Terminator v3.1 cycle sequencing kit. Single nucleotide polymorphism (SNP) and haplotype associations were analyzed using PLINK (version 1.04). Results: Nineteen sequence alterations were identified, and eight of them were novel including two novel nonsynonymous SNPs (L240V and I713V). Except the common I264V polymorphism, no other previously reported disease-causing or disease-susceptibility mutations were found. The novel I713V mutation was observed in three (3.7%) patients with HTG. One intronic SNP, IVS5+30C>T (rs10038177), showed significantly higher frequency of minor allele T in HTG patients (16.5%) than in controls (1.3%; Odds ratio [OR]=15.0, p=7.9×10−7, Bonferroni corrected p=1.5×10−5). Haplotype GTA, which is composed of rs13153937, rs10038177, and rs11241095, was significantly associated with HTG (OR=22.5, p=0.002, Bonferroni corrected p=0.013). Neither the individual SNPs nor haplotypes of WDR36 were associated with NTG or JOAG (Bonferroni corrected p>0.05). Conclusions: Findings in this study suggest WDR36 to be associated with sporadic HTG but not with NTG or JOAG. Our results also suggest a different mutation pattern of WDR36 in the Chinese population from other ethnic populations

Mechanism of Ad5 Vaccine Immunity and Toxicity: Fiber Shaft Targeting of Dendritic Cells

Recombinant adenoviral (rAd) vectors elicit potent cellular and humoral immune responses and show promise as vaccines for HIV-1, Ebola virus, tuberculosis, malaria, and other infections. These vectors are now widely used and have been generally well tolerated in vaccine and gene therapy clinical trials, with many thousands of people exposed. At the same time, dose-limiting adverse responses have been observed, including transient low-grade fevers and a prior human gene therapy fatality, after systemic high-dose recombinant adenovirus serotype 5 (rAd5) vector administration in a human gene therapy trial. The mechanism responsible for these effects is poorly understood. Here, we define the mechanism by which Ad5 targets immune cells that stimulate adaptive immunity. rAd5 tropism for dendritic cells (DCs) was independent of the coxsackievirus and adenovirus receptor (CAR), its primary receptor or the secondary integrin RGD receptor, and was mediated instead by a heparin-sensitive receptor recognized by a distinct segment of the Ad5 fiber, the shaft. rAd vectors with CAR and RGD mutations did not infect a variety of epithelial and fibroblast cell types but retained their ability to transfect several DC types and stimulated adaptive immune responses in mice. Notably, the pyrogenic response to the administration of rAd5 also localized to the shaft region, suggesting that this interaction elicits both protective immunity and vector-induced fevers. The ability of replication-defective rAd5 viruses to elicit potent immune responses is mediated by a heparin-sensitive receptor that interacts with the Ad5 fiber shaft. Mutant CAR and RGD rAd vectors target several DC and mononuclear subsets and induce both adaptive immunity and toxicity. Understanding of these interactions facilitates the development of vectors that target DCs through alternative receptors that can improve safety while retaining the immunogenicity of rAd vaccines

Fiber‐specific regulation of lignin biosynthesis improves biomass quality in Populus

Lignin is a major component of cell wall biomass and decisively affects biomass utilisation. Engineering of lignin biosynthesis is extensively studied, while lignin modification often causes growth defects. We developed a strategy for cell‐type‐specific modification of lignin to achieve improvements in cell wall property without growth penalty. We targeted a lignin‐related transcription factor, LTF1, for modification of lignin biosynthesis. LTF1 can be engineered to a nonphosphorylation form which is introduced into Populus under the control of either a vessel‐specific or fibre‐specific promoter. The transgenics with lignin suppression in vessels showed severe dwarfism and thin‐walled vessels, while the transgenics with lignin suppression in fibres displayed vigorous growth with normal vessels under phytotron, glasshouse and field conditions. In‐depth lignin structural analyses revealed that such cell‐type‐specific downregulation of lignin biosynthesis led to the alteration of overall lignin composition in xylem tissues reflecting the population of distinctive lignin polymers produced in vessel and fibre cells. This study demonstrates that fibre‐specific suppression of lignin biosynthesis resulted in the improvement of wood biomass quality and saccharification efficiency and presents an effective strategy to precisely regulate lignin biosynthesis with desired growth performance

In Vivo Response to Methotrexate Forecasts Outcome of Acute Lymphoblastic Leukemia and Has a Distinct Gene Expression Profile

William Evans and colleagues investigate the genomic determinants of methotrexate resistance and interpatient differences in methotrexate response in patients newly diagnosed with childhood acute lymphoblastic leukemia

Deep Learning Approach for Large-Scale, Real-Time Quantification of Green Fluorescent Protein-Labeled Biological Samples in Microreactors

Absolute quantification of biological samples entails determining expression levels in precise numerical copies, offering enhanced accuracy and superior performance for rare templates. However, existing methodologies suffer from significant limitations: flow cytometers are both costly and intricate, while fluorescence imaging relying on software tools or manual counting is time-consuming and prone to inaccuracies. In this study, we have devised a comprehensive deep-learning-enabled pipeline that enables the automated segmentation and classification of GFP (green fluorescent protein)-labeled microreactors, facilitating real-time absolute quantification. Our findings demonstrate the efficacy of this technique in accurately predicting the sizes and occupancy status of microreactors using standard laboratory fluorescence microscopes, thereby providing precise measurements of template concentrations. Notably, our approach exhibits an analysis speed of quantifying over 2,000 microreactors (across 10 images) within remarkably 2.5 seconds, and a dynamic range spanning from 56.52 to 1569.43 copies per micron-liter. Furthermore, our Deep-dGFP algorithm showcases remarkable generalization capabilities, as it can be directly applied to various GFP-labeling scenarios, including droplet-based, microwell-based, and agarose-based biological applications. To the best of our knowledge, this represents the first successful implementation of an all-in-one image analysis algorithm in droplet digital PCR (polymerase chain reaction), microwell digital PCR, droplet single-cell sequencing, agarose digital PCR, and bacterial quantification, without necessitating any transfer learning steps, modifications, or retraining procedures. We firmly believe that our Deep-dGFP technique will be readily embraced by biomedical laboratories and holds potential for further development in related clinical applications.Comment: 23 pages, 6 figures, 1 tabl