Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship between Fall History and Self-Perceived Motor Fitness in Community-Dwelling People: A Cross-Sectional Study

History of falling is an important fall risk factor. If a relationship between fall history and self-perceived motor fitness could be established, then treating it as a correctable risk of re-fall due to falls may be possible. We conducted a cross-sectional study of the relationship between fall history and self-perceived motor fitness in daily life among 670 community-dwelling people (mean age 62.0 ± 9.6 years, 277 men and 393 women) who had participated in health examinations. They completed a self-administered questionnaire that asked about their history of single or multiple falls and included a 14-item motor fitness scale. The responses were analyzed using multivariate logistic regression analysis. The results showed that in both younger and older (<65 years) subjects, a history of single or multiple falls was associated with a negative response to “being able to put on socks, pants or a skirt while standing without support”. For subjects ≥65 years, an association was also observed with “shortness of breath when climbing stairs”. Self-perceived motor fitness related to fall history can easily be noticed by an individual and may help them become aware of fall-related factors earlier in everyday life.
Personalization of the MES System to the Needs of Highly Variable Production

The new generation Manufacturing Executions System (MES) is considered as one of the most important solutions supporting the idea of Industry 4.0. This is confirmed by research conducted among companies interested in the implementation of the Industry 4.0 concept, as well as the publications of researchers who study this issue. However, if MES software is a link that connects the world of machines and business systems, it must take into account the specifics of the supported production systems. This is especially true in case of production systems with a high level of automation, which are characterised by flexibility and agility at the operational level. Therefore, personalization of the MES software is proposed for this class of production systems. The aim of the article is to present the MES system personalization method for a selected production system. The proposed approach uses the rules of Bayesian inference and the area of customisation is the technological structure of production, taking into account the required flexibility of the processes. As part of the developed approach, the variability index was proposed as a parameter evaluating the effectiveness of the production system. Then, the results of evaluation of the current system effectiveness by use of this index are presented. The authors also present the assumptions for the developed MES personalization algorithm. The algorithm uses the rules of Bayesian inference, which enable multiple adjustments of the model to the existing environmental conditions without the need to formulate a new description of reality. The application of the presented solution in a real facility allowed for determining production areas which are the determinants of system instability. The implementation of the developed algorithm enabled control of the generated variability in real time. The proposed approach to personalization of MES software for a selected class of production systems is the main novelty of the presented research and contributes to the development of the described area of research.
Spatial readout of visual looming in the central brain of Drosophila

Visual systems can exploit spatial correlations in the visual scene by using retinotopy, the organizing principle by which neighboring cells encode neighboring spatial locations. However, retinotopy is often lost, such as when visual pathways are integrated with other sensory modalities. How is spatial information processed outside of strictly visual brain areas? Here, we focused on visual looming responsive LC6 cells in Drosophila, a population whose dendrites collectively cover the visual field, but whose axons form a single glomerulus—a structure without obvious retinotopic organization—in the central brain. We identified multiple cell types downstream of LC6 in the glomerulus and found that they more strongly respond to looming in different portions of the visual field, unexpectedly preserving spatial information. Through EM reconstruction of all LC6 synaptic inputs to the glomerulus, we found that LC6 and downstream cell types form circuits within the glomerulus that enable spatial readout of visual features and contralateral suppression—mechanisms that transform visual information for behavioral control.
Predictors of in-hospital mortality among patients with Clostridium difficile infection: a multicenter study.

BACKGROUND Clostridium difficile infection (CDI)-associated mortality is a major global health concern. Several clinical and laboratory parameters have been linked to poor prognosis in patients with CDI. In the current study, we aimed to assess the rate of in-hospital mortality among Israeli CDI patients and to look for clinical and laboratory parameters associated to death. METHODS we performed a multicenter retrospective study enrolling all patients above 18-years old who were hospitalized for CDI or with diagnosis made during hospitalization in two regional, teaching hospitals in the north of Israel (Galilee Medical Center, Nahariya and EMMS Nazareth Hospital, Nazareth, Israel), from 1st January 2015 till 1st January 2020. All files of eligible patients were reviewed for demographic (age, gender), medical history and laboratory tests. RESULTS Overall, we included in the study 180 patients, among them 56 died in hospital due to CDI (group A) while 124 survived (group B). The average age in groups A and B was 77.02 ± 13 vs. 71.5 ±19.1, respectively. On univariate analysis, several clinical and laboratory parameters were associated with in-hospital mortality, including: advanced age, renal failure, antibiotics treatment while on treatment for CDI, need for mechanical ventilation, level of hemoglobin, white blood cells (WBC) and neutrophils count, neutrophil/lymphocyte ratio, serum level of albumin, creatinine and C reactive protein. On multivariate logistic regression analysis, only 4 parameters showed statistically significant association with in-hospital mortality, including age (odds ratio [OR]: 6.97, 95%confidence interval [CI]: 4.94-8.72, P=0.003), renal failure (OR: 3.72, 95%CI: 1.22-11.24, P=0.02), WBC count (OR: 1.09, 95%CI: 1.02-1.16, P=0.008), and lower albumin level (OR: 47.62, 95% CI: 10.31-200, P<0.0001). CONCLUSIONS In this retrospective, multicenter study, age, serum albumin level, leucocytes count and renal failure were the main predictors of in-hospital mortality in patients with CDI. Thus, antibiotic use should be weighed carefully in elderly comorbid . patients, at increased risk of mortality from CDI Prospective multicenter randomized studies investigating the effect of albumin infusion on in-hospital death of CDI patients are needed, thus enabling us to direct monitoring . and treatment accordingly.
Development of an Artificial Intelligence–Based Automated Recommendation System for Clinical Laboratory Tests: Retrospective Analysis of the National Health Insurance Database

Background Laboratory tests are considered an essential part of patient safety as patients’ screening, diagnosis, and follow-up are solely based on laboratory tests. Diagnosis of patients could be wrong, missed, or delayed if laboratory tests are performed erroneously. However, recognizing the value of correct laboratory test ordering remains underestimated by policymakers and clinicians. Nowadays, artificial intelligence methods such as machine learning and deep learning (DL) have been extensively used as powerful tools for pattern recognition in large data sets. Therefore, developing an automated laboratory test recommendation tool using available data from electronic health records (EHRs) could support current clinical practice. Objective The objective of this study was to develop an artificial intelligence–based automated model that can provide laboratory tests recommendation based on simple variables available in EHRs. Methods A retrospective analysis of the National Health Insurance database between January 1, 2013, and December 31, 2013, was performed. We reviewed the record of all patients who visited the cardiology department at least once and were prescribed laboratory tests. The data set was split into training and testing sets (80:20) to develop the DL model. In the internal validation, 25% of data were randomly selected from the training set to evaluate the performance of this model. Results We used the area under the receiver operating characteristic curve, precision, recall, and hamming loss as comparative measures. A total of 129,938 prescriptions were used in our model. The DL-based automated recommendation system for laboratory tests achieved a significantly higher area under the receiver operating characteristic curve (AUROCmacro and AUROCmicro of 0.76 and 0.87, respectively). Using a low cutoff, the model identified appropriate laboratory tests with 99% sensitivity. Conclusions The developed artificial intelligence model based on DL exhibited good discriminative capability for predicting laboratory tests using routinely collected EHR data. Utilization of DL approaches can facilitate optimal laboratory test selection for patients, which may in turn improve patient safety. However, future study is recommended to assess the cost-effectiveness for implementing this model in real-world clinical settings.
Injectable Gel Form of a Decellularized Bladder Induces Adipose-Derived Stem Cell Differentiation into Smooth Muscle Cells In Vitro

Biologic scaffolds composed of extracellular matrix components have been proposed to repair and reconstruct a variety of tissues in clinical and pre-clinical studies. Injectable gels can fill and conform any three-dimensional shape and can be delivered to sites of interest by minimally invasive techniques. In this study, a biological gel was produced from a decellularized porcine urinary bladder by enzymatic digestion with pepsin. The enzymatic digestion was confirmed by visual inspection after dissolution in phosphate-buffered saline solution and Fourier-transform infrared spectroscopy. The rheological and biological properties of the gel were characterized and compared to those of the MatrigelTM chosen as a reference material. The storage modulus G’ reached 19.4 ± 3.7 Pa for the 30 mg/mL digested decellularized bladder gels after ca. 3 h at 37 °C. The results show that the gel formed of the porcine urinary bladder favored the spontaneous differentiation of human and rabbit adipose-derived stem cells in vitro into smooth muscle cells to the detriment of cell proliferation. The results support the potential of the developed injectable gel for tissue engineering applications to reconstruct for instance the detrusor muscle part of the human urinary bladder.
Regulate or tolerate: Thermal strategy of a coral reef flat resident, the epaulette shark, Hemiscyllium ocellatum.

Highly variable thermal environments, such as coral reef flats, are challenging for marine ectotherms, and are thought to invoke the use of behavioural strategies to avoid extreme temperatures and seek out thermal environments close to their preferred temperatures. Common to coral reef flats, the epaulette shark (Hemiscyllium ocellatum) possesses physiological adaptations to hypoxic and hypercapnic conditions, such as those experienced on reef flats; however, little is known regarding the thermal strategies used by these sharks. We investigated whether H. ocellatum uses behavioural thermoregulation (i.e., movement to occupy thermally favourable microhabitats) or tolerates the broad range of temperatures experienced on the reef flat. Using an automated shuttlebox system, we determined the preferred temperature of H. ocellatum under controlled laboratory conditions and then compared this preferred temperature to 6-months of in situ environmental and body temperatures of individual H. ocellatum across the Heron Island reef flat. The preferred temperatures of H. ocellatum under controlled conditions was 20.7±1.5°C, however body temperatures of individual H. ocellatum on the Heron Island reef flat mirrored that of environmental temperatures regardless of season or month. Despite substantial temporal variation in temperature on the Heron Island reef flat (15-34°C during 2017), there was a lack of spatial variation in temperature across the reef flat, between sites or microhabitats. This limited spatial variation in temperature creates a low-quality thermal habitat limiting the ability of H. ocellatum to behaviourally thermoregulate. Behavioural thermoregulation is assumed in many shark species, but it appears that H. ocellatum may utilize other physiological strategies to cope with extreme temperature fluctuations on coral reef flats. While H. ocellatum appears to be able to tolerate acute exposure to temperatures well outside of their preferred temperature, it is unclear how this, and other, species will cope as temperatures continue to rise and approach their critical thermal limits. Understanding how species will respond to continued warming and the strategies they may use will be key to predicting future populations and assemblages. This article is protected by copyright. All rights reserved.
Hybrid Porous Microparticles Based on a Single Organosilica Cyclophosphazene Precursor

Porous organosilica microparticles consisting of silane-derived cyclophosphazene bridges were synthesized by a surfactant-mediated sol-gel process. Starting from the substitution of hexachlorocyclotriphosphazene with allylamine, two different precursors were obtained by anchoring three or six alkoxysilane units, via a thiol-ene photoaddition reaction. In both cases, spherical, microparticles (size average of ca. 1000 nm) with large pores were obtained, confirmed by both, scanning and transmission electron microscopy. Particles synthesized using the partially functionalized precursor containing free vinyl groups were further functionalized with a thiol-containing molecule. While most other reported mesoporous organosilica particles are essentially hybrids with tetraethyl orthosilicate (TEOS), a unique feature of these particles is that structural control is achieved by exclusively using organosilane precursors. This allows an increase in the proportion of the co-components and could springboard these novel phosphorus-containing organosilica microparticles for different areas of technology.
Selected techniques in radioecology: Model development and comparison for internal dosimetry of rainbow trout (Oncorhynchus mykiss) and feasibiltiy assessment of reflectance spectroscopy use as a tool in phytoremediation

ii ACKNOWLEDGEMENTS . vii PART 1: ESTIMATING ORGAN DOSE IN RAINBOW TROUT (ONCORHYNCHUS MYKISS) FROM UPTAKE OF SELECTED RADIONUCLIDES . 1 EXECUTIVE SUMMARY . 2 CHAPTER 1: INFLUENCE OF LAKE TROPHIC STRUCTURE ON I ACCUMULATION IN TROUT THYROIDS WITH CORRESPONDING ESTIMATION OF WHOLE BODY AND THYROID RADIATION DOSE . 4
Occurrence of Campylobacter spp. in Selected Small Scale Commercial Broiler Farms of Bangladesh Related to Good Farm Practices

Poultry origin Campylobacter is considered as one of the leading causal agents of human foodborne illness. This study was conducted to estimate the occurrence, molecular identification, and antimicrobial resistance (AMR) of Campylobacter species from the broiler farms in Bangladesh. Samples (352) were collected from 32 farms and comprised of 128 cloacal swab, 64 feed, 64 drinking water, 64 attendants’ hand rinsed water, and 32 whole carcasses. All samples were tested for the presence of Campylobacter via cultural, biochemical, and PCR. The AMR was determined via the disc diffusion method. An overall occurrence of Campylobacter spp. was estimated as 26.4%. The level of Campylobacter contamination was found to be higher in conventional farms (36.4%) than the good practice farms (16.5%) including all sample categories (p = 0.000). Of 93 isolates, 67.74% and 32.26% were confirmed as C. jejuni and C. coli respectively, of which 34.92% C. jejuni, and 30% C. coli were shown to be multidrug-resistant. A significant occurrence of Campylobacter contamination in broiler farms with multidrug resistant patterns might be cogitated as serious food safety and public health concern linking to poultry food chain. A risk reduction approach through good farming practices targeting the prudent use of antimicrobials for broiler production is thus necessitated.
Weakly Supervised Learning for Single Depth-Based Hand Shape Recovery

Recent emerging technologies such AR/VR and HCI are drawing high demand on more comprehensive hand shape understanding, requiring not only 3D hand skeleton pose but also hand shape geometry. In this paper, we propose a deep learning framework to produce 3D hand shape from a single depth image. To address the challenge that capturing ground truth 3D hand shape in the training dataset is non-trivial, we leverage synthetic data to construct a statistical hand shape model and adopt weak supervision from widely accessible hand skeleton pose annotation. To bridge the gap due to the different hand skeleton definitions in the existing public datasets, we propose a joint regression network for hand pose adaptation. To reconstruct the hand shape, we use Chamfer loss between the predicted hand shape and the point cloud from the input depth to learn the shape reconstruction model in a weakly-supervised manner. Experiments demonstrate that our model adapts well to the real data and produces accurate hand shapes that outperform the state-of-the-art methods both qualitatively and quantitatively.
A Scoping Review of Intimate Partner Violence as It Relates to the Experiences of Gay and Bisexual Men

Intimate partner violence (IPV) is a global health issue that encroaches beyond parameters of age, gender, sexual orientation and is the subject of extensive scholarly inquiry. Research on IPV in heterosexual couples, in particular on heterosexual women, has been prolific. However, there is a dearth of literature to document the distinct experiences of gay and bisexual men, despite the evidence of prevalence of IPV as reported equal or higher to heterosexual women. Studies have found that one in four gay men and four in 10 bisexual men have experienced IPV in their lifetime. This scoping review examines studies between 1931 and 2019 that had a predominant focus on violence among gay and bisexual men. Four electronic databases were searched in 2019. Arksey and O’Malley’s framework was utilized to extract 28 studies using a range of research designs that represented 13,224 sexual minority male participants. Across studies, gay and bisexual men were observed to experience IPV similarly to heterosexual couples involving psychological, physical, and sexual violence. However, as a marginalized and sexual minority group, they experience distinctive features of violence including sexual orientation outing, unprotected sexual intercourse, homophobia, internalized homophobia, and difficulties accessing minority men–focused services. Minority stress theory is posited as a useful lens in understanding the above features. In keeping with previous scholarship, a paucity of knowledge on gay and bisexual men’s experience of IPV was observed, and additional research is recommended.
Ancient DNA Studies in Pre-Columbian Mesoamerica

Mesoamerica is a historically and culturally defined geographic area comprising current central and south Mexico, Belize, Guatemala, El Salvador, and border regions of Honduras, western Nicaragua, and northwestern Costa Rica. The permanent settling of Mesoamerica was accompanied by the development of agriculture and pottery manufacturing (2500 BCE–150 CE), which led to the rise of several cultures connected by commerce and farming. Hence, Mesoamericans probably carried an invaluable genetic diversity partly lost during the Spanish conquest and the subsequent colonial period. Mesoamerican ancient DNA (aDNA) research has mainly focused on the study of mitochondrial DNA in the Basin of Mexico and the Yucatán Peninsula and its nearby territories, particularly during the Postclassic period (900–1519 CE). Despite limitations associated with the poor preservation of samples in tropical areas, recent methodological improvements pave the way for a deeper analysis of Mesoamerica. Here, we review how aDNA research has helped discern population dynamics patterns in the pre-Columbian Mesoamerican context, how it supports archaeological, linguistic, and anthropological conclusions, and finally, how it offers new working hypotheses.
Informed Consent for Genetic and Genomic Research

Genetic research often utilizes or generates information that is potentially sensitive to individuals, families, or communities. For these reasons, genetic research may warrant additional scrutiny from investigators and governmental regulators, compared to other types of biomedical research. The informed consent process should address the range of social and psychological issues that may arise in genetic research. This article addresses a number of these issues, including recruitment of participants, disclosure of results, psychological impact of results, insurance and employment discrimination, community engagement, consent for tissue banking, and intellectual property issues. Points of consideration are offered to assist in the development of protocols and consent processes in light of contemporary debates on a number of these issues. © 2020 Wiley Periodicals LLC.
Monitoring Insecticide Resistance and Target Site Mutations of L1014 Kdr And G119 Ace Alleles in Five Mosquito Populations in Korea

Mosquitoes are globally distributed and important vectors for the transmission of many human diseases. Mosquito control is a difficult task and the cost of preventing mosquito-borne diseases is much lower than that for curing the associated diseases. Thus, chemical control remains the most effective tool for mosquito. Due to the long-term intensive use of insecticides to control mosquito vectors, resistance to most chemical insecticides has been reported. This study aimed to investigate the relationship between insecticide resistance and target site mutation of L1014 kdr and G119 ace alleles in 5 species/species group of mosquitoes (Aedes vexans, Ae. albopictus, Anopheles spp., Culex pipiens complex, and Cx. tritaeniorhynchus) obtained from 6 collection sites. For Anopheles spp. , the proportion of mosquitoes with mutated alleles in L1014 was 88.4%, homozygous resistant genotypes were observed in 46.7%, and heterozygous resistant genotypes were observed in 41.8%. For the Cx. pipiens complex and Cx. tritaeniorhynchus species, homozygous resistant genotypes were found in 25.9% and 9.8%, respectively. However, target site mutation of L1014 in the Ae. vexans nipponii and Ae. albopictus species was not observed. Anopheles spp. , Cx. pipiens complex, and Cx. tritaeniorhynchus mosquitoes were resistant to deltamethrin and chlorpyriphos, whereas Ae. vexans nipponii and Ae. albopictus were clearly susceptible. We also found a correlation between the resistance phenotype and the presence of the L1014 kdr and G119 ace mutations only in the Anopheles spp. population. In this study, we suggest that insecticide resistance poses a growing threat and resistance management must be integrated into all mosquito control programs.