Miracle-dz/UniFAR-FTUs huggingface dataset:
The Degree of Meeting the Needs of Older People with Frailty Syndrome in the Residential Environment in Relation to Interventions—Experimental Study

The study aimed to determine the degree of satisfaction with health, psychological, environmental, and social needs and to determine the effects of a nutritional intervention, physical activity, and comprehensive activity (nutritional intervention plus physical activity) on the degree of satisfaction of the needs of older people with frailty syndrome (FS). The study included 188 residents (140 women and 48 men) and was conducted using the Fried scale and Camberwell’s modified brief needs assessment. In addition, data were collected on age, sex, educational level, type of the previous occupation, marital status, remaining in a relationship, co-residents, place of residence, work status, financial situation, and help with housework. Intervention groups were formed: G1-diet, G2-physical activity, G3-comprehensive therapy, and G4-control. Stage 1 (T1)-3 months after the first examination, stage 2 (T2)-after another three months, the measurements from stage 0. In all groups, the majority were women, respondents with a low or medium level of education in relationships. The degree of need satisfaction in groups G2, G3, and G4 depended on the measurement time (p = 0.019, p = 0.007, p = 0.016). The introduction of physical activity and physical activity in combination with dietary changes most effectively influenced the increase in the level of need satisfaction in elderly patients with frailty.
Collective Stressors Affect the Psychosocial Development of Young Adults

Young adulthood is a critical developmental life stage and a period of enhanced vulnerability to stress. In 2020, young adults in Northern California were faced with a series of unforeseen, collective stressors: the COVID-19 pandemic, extreme wildfires, social tension associated with the murder of George Floyd, and a contentious election that culminated in an attack on the nation’s capital. In a natural experiment, we compared the psychosocial development of 415 young adults across 8 monthly assessment waves during 2020 to a control cohort (n = 465) who completed the same assessment protocol in 2019, prior to the onset of stressors. Results of latent growth curve models indicated that the 2020 cohort had less adaptive trajectories of affective well-being and lower levels and less adaptive trajectories of social functioning, suggesting detrimental effects of cumulative, collective stressors on the socio-emotional development of young adults.
THE POWER OF THERMONUCLEAR SUPERNOVAE AFTER ONE YEAR

Type Ia supernovae (SNe Ia), the thermonuclear explosion of a white dwarf, shape our understanding of the expansion of the universe with the use of their uniformity in distance determinations. Powered by radioactivity synthesized in the explosion, they fade slowly over hundreds of days. Sometime after 200 days, the continually expanding ejecta allows γ-rays from 56Ni and 56Co decays to escape, and soon any radioactive power contributing to lighting up the SN comes from positrons formed in 19% of 56Co decays. While at first it seemed that positrons escaped through the thinning ejecta, it has become apparent that conclusions can only be drawn from accounting for all the power from the near-infrared (NIR) as well as the optical. Only a handfull of SNe have been observed during epochs at a year after explosion in both the optical and NIR. These seem to make an argument for the complete trapping of positrons while also suggesting there is more power unobserved in other bands. This dissertation discusses observations of three nearby SNe; 2006E, 2006ce, and 2006mq, which were all discovered after maximum light, but bright enough to be observed to late times (the latest at ∼525 days after peak). The late multi-wavelength observations are converted to fluxes and luminosity and we assess the behvaior of different wavelengths regimes. A simple positron deposition model is employed to estimate the feasibility of positron escape. We find that we cannot rule out positron escape, but that it seems likely that there is a color evolution that shifts power away from observed bands. This shifting of power seems to vary from SN to SN and is not uniform across all normal SNe Ia.
The Influence of Health Behavior Theory on Implementation Practice and Science: Brief Review and Commentary

As research defines new treatments and policies to improve the health of patients, an increasing challenge has been to translate these insights into routine clinical practice to benefit patients and society. An important exploration is how theories of human behavior change fit into the science of implementation and quality improvement. In this paper, we begin with a brief review of the intellectual roots of implementation science and quality improvement, followed by a discussion of how theories and principles of behavior change can inform both goals and challenges in using behavior change theories. The insights offered through health behavior change theory have led to changes in how we plan for implementation and select, develop, design and tailor implementation interventions and strategies. While the degree to which organizational and external contexts influence the behavior of providers in these organizations varies widely, some degree of context external to the individual is important and needs adequate consideration. In short, health behavior change theory is essential but not sufficient to integrate in most implementation efforts, where priority must be given to both individual factors and contexts in which individuals operate.
CpMAX1a, a Cytochrome P450 Monooxygenase Gene of Chimonanthus praecox Regulates Shoot Branching in Arabidopsis

Strigolactones (SLs) are a class of important hormones in the regulation of plant branching. In the model plant Arabidopsis, AtMAX1 encodes a cytochrome P450 protein and is a crucial gene in the strigolactone synthesis pathway. Yet, the regulatory mechanism of MAX1 in the shoot branching of wintersweet (Chimonanthus praecox) remains unclear. Here we identified and isolated three MAX1 homologous genes, namely CpMAX1a, CpMAX1b, and CpMAX1c. Quantitative real-time PCR (qRT-PCR) revealed the expression of CpMAX1a in all tissues, being highest in leaves, whereas CpMAX1b was only expressed in stems, while CpMAX1c was expressed in both roots and stem tips. However, CpMAX1a’s expression decreased significantly after decapitation; hence, we verified its gene function. CpMAX1a was located in Arabidopsis chloroplasts. Overexpressing CpMAX1a restored the phenotype of the branching mutant max1–3, and reduced the rosette branch number, but resulted in no significant phenotypic differences from the wild type. Additionally, expression of AtBRC1 was significantly upregulated in transgenic lines, indicating that the CpMAX1a gene has a function similar to the homologous gene of Arabidopsis. In conclusion, our study shows that CpMAX1a plays a conserved role in regulating the branch development of wintersweet. This work provides a molecular and theoretical basis for better understanding the branch development of wintersweet.
Development of Halogenated-Chalcones Bearing with Dimethoxy Phenyl Head as Monoamine Oxidase-B Inhibitors

Two series of dimethoxy-halogenated chalcones (DM1–DM20) were synthesized and tested for their ability to inhibit monoamine oxidase (MAOs). Compound DM2 exhibited the most significant inhibition against MAO-B with an IC50 value of 0.067 µM, followed by compound DM18 (IC50 = 0.118 µM), with selectivity index (SI) values of 93.88 and >338.98, respectively. However, none of the substances successfully inhibited MAO-A. The MAO-B inhibitors DM2 and DM18 were competitive and reversible, with Ki values of 0.032 ± 0.004 and 0.045 ± 0.001 µM, respectively. DM2 was non-toxic below 100 µg/mL in the cytotoxic test using the Vero epithelial cell line by the MTT method. According to molecular docking studies, DM2 and DM18 formed very similar conformations within the MAO-B binding pocket, with the ortho-chlorine and ortho-fluorine aromatic rings sandwiched between F168 and Y326. These conformations were predicted to show better interactions with the targeted MAO-B than MAO-A. In particular, the induced-fit docking of the dimethoxy phenyl ring of DM2 facing the hydrophobic pocket made up of FAD, Y398, and Y435 had an impact on F168 in the docking pocket. Taken together, DM2 and DM18 may be suitable candidates for treating neurodegenerative conditions such as Parkinson’s disease.
A Survey of Smart Home IoT Device Classification Using Machine Learning-Based Network Traffic Analysis

Smart home IoT devices lack proper security, raising safety and privacy concerns. One-size-fits-all network administration is ineffective because of the diverse QoS requirements of IoT devices. Device classification can improve IoT administration and security. It identifies vulnerable and rogue items and automates network administration by device type or function. Considering this, a promising research topic focusing on Machine Learning (ML)-based traffic analysis has emerged in order to demystify hidden patterns in IoT traffic and enable automatic device classification. This study analyzes these approaches to understand their potential and limitations. It starts by describing a generic workflow for IoT device classification. It then looks at the methods and solutions for each stage of the workflow. This mainly consists of i) an analysis of IoT traffic data acquisition methodologies and scenarios, as well as a classification of public datasets, ii) a literature evaluation of IoT traffic feature extraction, categorizing and comparing popular features, as well as describing open-source feature extraction tools, and iii) a comparison of ML approaches for IoT device classification and how they have been evaluated. The findings of the analysis are presented in taxonomies with statistics showing literature trends. This study also explores and suggests undiscovered or understudied research directions.
Fabric Defect Detection Method Based on Projection Location and Superpixel Segmentation

In order to improve the accuracy of fabric defect detection, a method is proposed based on projection location and superpixel segmentation. Firstly, the input image was median filtered and log enhancement as preprocessing. Secondly, the saliency map was estimated using the FT algorithm to achieve the enhancement of the preprocessed image. The saliency map were projected and fitted in both horizontal and vertical directions to obtain rough localized image of the projected waveform curve and defect. Finally, the rough localization image was segmented by superpixel fine segmentation and its binarization to obtain a complete defect contour. The experimental results showed that the detection accuracy was improved by more than 10.94% compared with three methods such as RPCA.
Capacity-Approaching Low-Density Parity-Check Codes

The class of low-density parity-check (LDPC) codes was introduced by Gallager in his thesis in 1961 [2]. Until the invention of turbo codes, they were largely neglected, but received a lot of interest lately, due to the possibility of designing LDPC codes within 0:0045 dB of the Shannon limit. We review in this project techniques used to analyze the performance of LDPC codes under a message-passing decoding algorithm, namely belief propagation (BP) [4][5]. This analysis gives us the tools to design good LDPC codes. We will flrst take the simpler example of transmission over the class of binary erasure channels (BEC). We will then see how it is possible to extend the results for the BEC to the much more general class of symmetric channels.
Effects of Two Kinds of Extracts of Cistanche deserticola on Intestinal Microbiota and Its Metabolism

Cistanche deserticola belongs to the Liedang family. Known as “desert ginseng”, it has high medicinal value and plays important roles in endocrine regulation, neuroprotection, immune regulation, and other processes. Some studies have shown that single substances such as polysaccharides and phenylethanolside can affect intestinal microbiota, but few studies have studied the synergistic effect of various components in Cistanche deserticola extracts on intestinal microbiota. Therefore, in this study, through an in vitro digestion model (Changdao Moni, CDMN) combined with 16S rRNA gene amplification sequencing technology and untargeted metabolomics technology, it was found that the two extracts all had significant effects on the enteric cavity and mucosal flora. Both extracts inhibited Bacteroides in the intestinal cavity and Parabacteroides and Ruminococcus 2 in the intestinal mucosa and promoted Bifidobacterium and Prevotella in the intestinal cavity and Megasphaera in the intestinal mucosa. The aqueous extract also inhibited Phascolarctobacterium. Both extracts also significantly increased the production of short-chain fatty acids, especially butyrate. The intake of extract had significant effects on the metabolic pathways related to amino acids and lipids. Indoles were upregulated by the aqueous extract but downregulated by the alcohol extract. In addition, the extract also had a significant effect on the hemolytic phosphorus esters. In conclusion, the two kinds of extracts have different effects on intestinal microbiota and its metabolism. This study provides guiding significance for the edibility and food development of Cistanche deserticola.
Intelligent Animation Creation Method Based on Spatial Separation Perception Algorithm

In the computer group animation creation technology, the artificial life method of computer animation overcomes the defects of traditional animation creation technology and greatly improves the animation creation efficiency. However, due to the increasing complexity of the animation character modeling technology used in this method, the coupling degree between the models of the animation system is also increasing, which makes the animation creation increasingly difficult. Especially, when the number of characters' increases, the computation will increase rapidly in a nonlinear way, which greatly affects the real-time animation creation and limits the wide application of this method. In this paper, we have conducted an in-depth study and implementation of the design of the animation character model and its implementation technology, analyzed and designed the group animation character model, and designed the space separation perception algorithm to effectively reduce the design difficulty of the character biomechanical model, reduce the amount of computation, and further ensure the real time of large-scale group animation creation. Therefore, the research reduces the coupling between animation system models without reducing the animation effect and real-time performance. It reduces the amount of computer operation, meets the real-time requirements of large-scale group animation creation, and has important significance and value.
The CfSnt2-Dependent Deacetylation of Histone H3 Mediates Autophagy and Pathogenicity of Colletotrichum fructicola

Camellia oleifera is one of the most valuable woody edible-oil crops, and anthracnose seriously afflicts its yield and quality. We recently showed that the CfSnt2 regulates the pathogenicity of Colletotrichum fructicola, the dominant causal agent of anthracnose on C. oleifera. However, the molecular mechanisms of CfSnt2-mediated pathogenesis remain largely unknown. Here, we found that CfSnt2 is localized to the nucleus to regulate the deacetylation of histone H3. The further transcriptomic analysis revealed that CfSnt2 mediates the expression of global genes, including most autophagy-related genes. Furthermore, we provided evidence showing that CfSnt2 negatively regulates autophagy and is involved in the responses to host-derived ROS and ER stresses. These combined functions contribute to the pivotal roles of CfSnt2 on pathogenicity. Taken together, our studies not only illustrate how CfSnt2 functions in the nucleus, but also link its roles on the autophagy and responses to host-derived stresses with pathogenicity in C. fructicola.
Innovation ecosystem stability and enterprise innovation performance: the mediating effect of knowledge acquisition

Purpose This study aims to explore the effect of innovation ecosystem stability (IES) on innovation performance of enterprises through the mediating role of knowledge acquisition (KA), and to study how these effects are moderated by unabsorbed slack. Design/methodology/approach This study draws on data from 327 Chinese enterprises and adopts the multiple linear regression method and bootstrapping method to explore the mediating effect of KA and its moderated mediating effect. Findings The results demonstrate that IES is positively associated with innovation performance of enterprises, and KA plays a partially mediating role. Moreover, unabsorbed slack negatively moderates the relationship between IES and KA as well as the mediating effect of KA. Originality/value This study investigates the relationship between IES and innovation performance, and the mechanism of influence, which has not been previously studied in the field of innovation ecosystem. This study also examines the interaction between unabsorbed slack and IES and further clarifies the mechanism and boundary conditions of the impact of IES on innovation performance.
Pre-Treatment CRP-Albumin-Lymphocyte Index (CALLY Index) as a Prognostic Biomarker of Survival in Patients with Epithelial Ovarian Cancer

Background The novel CRP–albumin–lymphocyte (CALLY) index is an improved immunonutritive scoring system, based on serum C-reactive protein (CRP), serum albumin, and the lymphocyte count. It has been determined as a prognostic index for patients with hepatocellular carcinoma. This study was conducted to explore the prognostic value of the CALLY index in patients with epithelial ovarian cancer (EOC) undergoing surgery. Methods Patients with EOC treated with surgery as an initial therapy were enrolled to form the training and validation cohorts. The effect of the CALLY index on overall survival (OS) and disease-free survival (DFS) was analyzed using Kaplan–Meier method and Cox proportional hazards model. The CALLY index was calculated as: (Albumin × Lymphocyte)/ (CRP × 104). Results There were 190 patients in the training cohort and 120 in the validation cohort, respectively. With a cut-off value of 3, patients were classified into the CALLY <3 and CALLY ≥3 groups. The CALLY index ≥3 was associated with better survival outcomes both in the training and validation cohorts. The univariate and multivariate COX analysis revealed that FIGO stage, lymphatic metastasis, and CALLY index were the prognostic factors for both OS and DFS. Conclusion The CALLY index is a novel prognostic biomarker for patients with EOC after surgery. The novel CALLY index could select appropriate patients with poor prognosis for postoperative adjuvant therapy.
Targeted Sequencing of Germline Breast Cancer Susceptibility Genes for Discovering Pathogenic/Likely Pathogenic Variants in the Jakarta Population

Germline predisposition plays an important role in breast cancer. Different ethnic populations need respective studies on cancer risks pertinent to germline variants. We aimed to discover the pathogenic and likely pathogenic variants (P/LP-Vs) of germline breast cancer susceptibility genes and to evaluate their correlation with the clinical characteristics in Jakarta populations. The pure DNA was extracted from the blood buffy coat, using reagents from the QIAamp DNA Mini Kit® (Qiagen, Hilden, Germany). The DNA libraries were prepared using the TargetRich™ Hereditary Cancer Panel (Kailos Genetics®, Huntsville, AL, USA). The barcoded DNA libraries were sequenced using the Illumina NextSeq 500 platform. In-house bioinformatics pipelines were used to analyze the gene variants. We identified 35 pathogenic and likely pathogenic (P/LP-Vs) variants (28 frameshift, 5 nonsense, and 2 splice-site variants). The P/LP-Vs group was statistically significantly different in luminal B status (p < 0.05) compared with the non-P/LP-Vs group. The P/LP-Vs found both in BRCA1/2 genes and non-BRCA genes may increase the risk of breast cancer and alter drug responses. The screening of multigene variants is suggested, rather than BRCA testing only. Prior knowledge of the germline variants status is important for optimal breast cancer diagnosis and optimal therapy.
OpenForBC, the GPU partitioning framework

In recent years, compute performances of GPUs (Graphics Processing Units) dramatically increased, especially in comparison to those of CPUs (Central Processing Units). GPUs are nowadays the hardware of choice for scientific applications involving massive parallel operations, such as deep learning (DL) and Artificial Intelligence (AI) workflows. Large-scale computing infrastructures such as on-premises data centers, HPC (High Performance Computing) centers, and public or private clouds offer high performance GPUs to researchers. The programming paradigms for GPUs significantly vary according to the GPU model and vendor, often posing a barrier to their use in scientific applications. In addition, powerful GPUs are hardly saturated by typical computing applications. GPU partitioning may be the key to exploit GPU computing power in an efficient and affordable manner. Multiple vendors proposed custom solutions to allow for GPU partitioning, often with poor portability across different platforms and OSs (Operating Systems). OpenForBC (Open For Better Computing) is an open source software framework that allows for effortless and unified partitioning of GPUs from different vendors in Linux KVM virtualized environments. OpenForBC supports dynamic partitioning for various configurations of the GPU, which can be used to optimize the utilization of GPU kernels from different users or different applications. For example training complex DL models may require a full GPU, but inference may only need a fraction of it, leaving free resources for multiple cloned instances or other tasks. In this contribution we describe the most common GPU partitioning options available on the market, discuss the implementation of the OpenForBC interface, and show the results of benchmark tests in typical use case scenarios.
I’m Trying to Save My Family: Parent Experiences of Child Criminal Exploitation

Despite growing awareness of child criminal exploitation, there is a dearth of evidence relating to parent views and experiences. This article presents interview findings from parents with lived experience of parenting a criminally exploited child. Early warning signs, such as behaviour changes, disengagement from school and child disappearances, were often rationalised in response to family circumstances or normal teenage development. Not knowing the child’s whereabouts, increased missing episodes and disengagement from the family prompted parents to seek help. Findings highlighted the need for parent involvement in the development of suitable responses at the individual, local and national levels.