Miracle-dz/UniFAR-FTUs huggingface dataset:
Machine learning for passive mental health symptom prediction: Generalization across different longitudinal mobile sensing studies

Mobile sensing data processed using machine learning models can passively and remotely assess mental health symptoms from the context of patients’ lives. Prior work has trained models using data from single longitudinal studies, collected from demographically homogeneous populations, over short time periods, using a single data collection platform or mobile application. The generalizability of model performance across studies has not been assessed. This study presents a first analysis to understand if models trained using combined longitudinal study data to predict mental health symptoms generalize across current publicly available data. We combined data from the CrossCheck (individuals living with schizophrenia) and StudentLife (university students) studies. In addition to assessing generalizability, we explored if personalizing models to align mobile sensing data, and oversampling less-represented severe symptoms, improved model performance. Leave-one-subject-out cross-validation (LOSO-CV) results were reported. Two symptoms (sleep quality and stress) had similar question-response structures across studies and were used as outcomes to explore cross-dataset prediction. Models trained with combined data were more likely to be predictive (significant improvement over predicting training data mean) than models trained with single-study data. Expected model performance improved if the distance between training and validation feature distributions decreased using combined versus single-study data. Personalization aligned each LOSO-CV participant with training data, but only improved predicting CrossCheck stress. Oversampling significantly improved severe symptom classification sensitivity and positive predictive value, but decreased model specificity. Taken together, these results show that machine learning models trained on combined longitudinal study data may generalize across heterogeneous datasets. We encourage researchers to disseminate collected de-identified mobile sensing and mental health symptom data, and further standardize data types collected across studies to enable better assessment of model generalizability.
Strain-based monitoring methods for beam-like structures

In this thesis Structural Health Monitoring (SHM) is defined as the process of periodically or continuously measuring structural parameters over time and the consequent analysis, with the aim of providing actionable information on structural performance. This work is motivated by the need for network-wide SHM of typical structures. Strain based SHMmethods are explored with the main focus on the location of neutral axis and the deformed shape of beam-like structures. SHM methods for evaluation of these two parameters are developed, including detailed uncertainty analyses. Additionally, an exploration of several other parameters is presented through a case study. Strain data from two full-scale in-service structures, a large-scale test structure, and a laboratory specimen were used to validate the methods and assess their limitations. The main conclusions are that: 1) repeated short-term measurements are ideal, since they are less influenced by temperature and rheological effects; 2) the neutral axis location varies in healthy structures and it is sensitive to damage and other unusual structural behaviors; 3) uncertainty in the deformed shape was predicted prior to data acquisition; and 4) for vertical displacement evaluations, a detailed analysis of the boundary conditions is necessary.
Factors Affecting On Unified Theory Of Acceptance And Use Of Technology 2 (UTAUT2) Toward Intention And Use Behavior Of Indonesian Wifi @Wifi.Id Internet Services (A Study at Telkom University Bandung 2016): SCBTII Proceeding Book, August 15th-16th 2016

Indonesian WiFi @wifi.id is the most popular WiFi-based internet service in Indonesia which combines the advantages of mobility owned by cellular network and reliable quality of cable network. However, the rate of user adoptions in using this service is still low. Therefore, it is important to know the factors that influence user’s intention and behavior of @wifi.id internet service. This research will determine the factors of user’s preferences using @wifi.id services and the factors of intention influence and use behavior in using @wifi.id services based on UTAUT 2 Model. This research uses 420 respondents of @wifi.id internet service users in Telkom University. Using questionnaire as the main data collection tool consisting of user preference questions and 28 items of statements covering nine construct variables. Traditional conjoint analysis with regression is used to test user preference and the measurement uses Structural Equation Modelling (SEM) with LISREL 8.80 and AMOS 22 for moderating variables measurement. The results of this research suggest that frequency of usage is an important factor in @wifi.id user’s preferences. UTAUT2 factors which contribute to the Behavioral Intention are Habit, Price Value, Facilitating Condition, Effort Expectancy, and Performance Expectancy. Those factors contribute as much as 61%, while, factors which contribute to the Use Behavior are Behavioral Intention and Habit as much as 53%. It is proven that Age moderates the impact of Social Influence and Price Value on Behavioral Intention, while Gender moderates the impacts of Social Influence and Hedonic Motivation on Behavioral Intention along with Habit on Use Behavior. Experience is proven to moderate the influences of Facilitating Condition and Hedonic Motivation on Behavioral Intention along with Habit on Use Behavior.
Punching Failure of Slabs — Transfer of Moment and Shear

A theoretical method of analysis is presented for the calculation of the punching load of an internal column of a flat slab structure subjected to moment and shear transfer. The analytical procedure utilizes elastic thin plate theory and takes into consideration the complex state of stress which exists in the compression zone of the slab around the column periphery. As this prediction is based on lower bound limit analysis a safer estimate than that based on yield line analysis results. A detailed description of the steps involved in the analysis is given in a flow diagram which indicates that four different modes of failure are possible. The validity of the assumptions made is checked by comparing the predicted punching loads with those obtained from tests that are reported in the literature. This method will be of value in supplementing existing empirical procedures.
The Chlamydomonas reinhardtii BBSome is an IFT cargo required The Chlamydomonas reinhardtii BBSome is an IFT cargo required for export of specific signaling proteins from flagella for export of specific signaling proteins from flagella

transport (IFT) in association with a subset of IFT particles. C. reinhardtii insertional mutants defective in BBS1 , - 4 , and - 7 assemble motile, full-length flagella but lack the ability to phototax. In the bbs4 mutant, the assembly and transport of IFT particles are unaffected, but the flagella abnormally accumulate several signaling proteins that may disrupt phototaxis. We conclude that the BBSome is carried by IFT but is an adapter rather than an integral component of the IFT machinery. C. reinhardtii BBS4 may be required for the export of signaling proteins from the flagellum via IFT. transformants showed restored phototactic behavior and 50 kD); was not expressed in other transformants randomly selected for testing. whether BBS4 undergoes IFT, cloned the BBS4 cDNA GFP expression this con-struct to rescue bbs4-1 . 1 out of 78 transformants tested showed restored phototaxis and expression of BBS4-GFP, as detected by Western blots
Cyclin-dependent kinase 5 phosphorylates the N-terminal domain Cyclin-dependent kinase 5 phosphorylates the N-terminal domain of the postsynaptic density protein PSD-95 in neurons of the postsynaptic density protein PSD-95 in neurons

PSD-95 (postsynaptic density 95) is a postsynaptic scaffolding protein that links NMDA receptors to the cytoskeleton and signaling molecules.TheN-terminaldomainofPSD-95isinvolvedinthesynaptictargetingandclusteringofPSD-95andintheclusteringofNMDAreceptorsatsynapses.TheN-terminaldomainofPSD-95containsthreeconsensusphosphorylationsitesforcyclin-dependentkinase5(cdk5),aproline-directedserine-threoninekinaseessentialforbraindevelopmentandimplicatedinsynapticplasticity,dopaminesignaling,cocaineaddiction,andneurodegenerativedisorders.WereportthatPSD-95isphosphorylatedintheN-terminaldomainbycdk5 in vitro and in vivo , and that this phosphorylation is not detectable in brain lysates of cdk5 (cid:1) / (cid:1) mice. N-terminal phosphorylated PSD-95 is found in PSD fractions together with cdk5 and its activator, p35, suggesting a role for phosphorylated PSD-95 at synapses. In heterologous cells, coexpression of active cdk5 reduces the ability of PSD-95 to multimerize and to cluster neuronal ion channels, two functions attributed to the N-terminal domain of PSD-95. Consistentwiththeseobservations,thelackofcdk5activityinculturedneuronsresultsinlargerclustersofPSD-95.Incdk5 (cid:1) (cid:1) cortical neurons,moreprominentPSD-95immunostainedclustersareobservedthaninwild-typeneurons.Inhippocampalneurons,theexpres-sionofDNcdk5(inactiveformofcdk5)orofthetriplealaninemutant(T19A,S25A,S35A)full-lengthPSD-95resultsinincreasedPSD-95clustersize.Theseresultsidentifycdk5-dependentphosphorylationoftheN-terminaldomainofPSD-95asanovelmechanismforregulatingtheclusteringofPSD-95.Moreover,theseobservationssupportthepossibilitythatcdk5-dependentphosphorylationofPSD-95dynamicallyregulatestheclusteringofPSD-95/NMDAreceptorsatsynapses,thusprovidingapossiblemechanismforrapidchangesindensityand/ornumberofreceptoratsynapses.
Mortality among healthcare workers in Indonesia during 18 months of COVID-19

Abstract The impact of SARSCoV2 infections upon Indonesian health care workers (HCWs) remains unclear, as mortality data specific to HCWs is not systematically collected or analyzed in this setting. This report describes findings from a systematic collation, abstraction and analysis of HCW fatalities during the first 18 months of COVID19 in Indonesia. HCW who died during the period of March 2020 to July 2021 across Indonesia were identified on Pusara Digital, a community web based digital cemetery database dedicated to HCW. We calculated mortality rates and death risk ratio among HCWs and the general population. Qualitative methods explored concerns regarding mortality among HCWs. The analysis suggests that at least 1,545 HCWs died during the study period. The death of males and females HCWs were almost equally distributed (51% vs. 49%). Most were medical doctors and specialists (535, 35%), nurses (428, 28%), and midwives (359, 23%). Deaths most frequently occurred in the age group of 40 to 59 years old with the median age of 50 years (IQR: 39 to 59). At least 322 (21%) deaths occurred with pre-existing conditions, including 45 who were pregnant. We estimated a minimal HCW mortality rate in Indonesia at 1.707 deaths per 1000 HCW during the first 18 months of COVID19. Provincial HCW mortality rates ranged from 0.136 (West Sulawesi) to 5.32 HCW deaths per 1000 HCWs (East Java). HCW had a significantly higher mortality rate than the general population (RR = 4.92, 95% CI 4.67 to 5.17). The COVID19 event in Indonesia resulted in the loss of many hundreds of HCWs, most of them being senior physicians, nurses, and midwives. The HCW death rate is 5 times higher than everyone else. The sheer sparseness of the workforce requires more protective steps and national systematic surveillance of occupational mortality is urgently needed in this setting.
Identifying Long- and Short-Term Processes in Perceptual Learning

Practice makes perfect in almost all perceptual tasks, but how perceptual improvements accumulate remains unknown. Here, we developed a multicomponent theoretical framework to model contributions of both long- and short-term processes in perceptual learning. Applications of the framework to the block-by-block learning curves of 49 adult participants in seven perceptual tasks identified ubiquitous long-term general learning and within-session relearning in most tasks. More importantly, we also found between-session forgetting in the vernier-offset discrimination, face-view discrimination, and auditory-frequency discrimination tasks; between-session off-line gain in the visual shape search task; and within-session adaptation and both between-session forgetting and off-line gain in the contrast detection task. The main results of the vernier-offset discrimination and visual shape search tasks were replicated in a new experiment. The multicomponent model provides a theoretical framework to identify component processes in perceptual learning and a potential tool to optimize learning in normal and clinical populations.
Clickable Albumin Nanoparticles for Pretargeted Drug Delivery toward PD-L1 Overexpressing Tumors in Combination Immunotherapy

We present a simple methodology to design a pretargeted drug delivery system, based on clickable anti-programmed death ligand 1 (anti-PD-L1) antibodies (Abs) and clickable bovine serum albumin (BSA) nanoparticles (NPs). Pretargeted drug delivery is based on the decoupling of a targeting moiety and a drug-delivering vector which can then react in vivo after separate injections. This may be key to achieve active targeting of drug-delivering NPs toward cancerous tissue. In pretargeted approaches, drug-delivering NPs were observed to accumulate in a higher amount in the targeted tissue due to shielding-related enhanced blood circulation and size-related enhanced tissue penetration. In this work, BSA NPs were produced using the solvent precipitation methodology that renders colloidally stable NPs, which were subsequently functionalized with a clickable moiety based on chlorosydnone (Cl-Syd). Those reactive groups are able to specifically react with dibenzocyclooctyne (DBCO) groups in a click-type fashion, reaching second-order reaction rate constants as high as 1.9 M–1·s–1, which makes this reaction highly suitable for in vivo applications. The presence of reactive Cl-Syd was demonstrated by reacting the functionalized NPs with a DBCO-modified sulfo-cyanine-5 dye. With this reaction, it was possible to infer the number of reactive moieties per NPs. Finally, and with the aim of demonstrating the suitability of this system to be used in pretargeted strategies, functionalized fluorescent NPs were used to label H358 cells with a clickable anti-PD-L1 Ab, applying the reaction between Cl-Syd and DBCO as corresponding clickable groups. The results of these experiments demonstrate the bio-orthogonality of the system to perform the reaction in vitro, in a period as short as 15 min.
Modulation of interleukin‐36 based inflammatory feedback loop through the hepatocyte‐derived IL‐36R‐P2X7R axis improves steatosis in alcoholic steatohepatitis

Interleukin‐36 is induced by proinflammatory cytokines and promotes inflammatory responses, creating an IL‐36‐based inflammation loop. Although hepatocytes, produce IL‐36 responses to drug‐induced liver injury, little is known about the mechanistic role of IL‐36 signalling during the progression of alcoholic steatohepatitis (ASH). Regarding IL‐36/IL‐36R and P2X7R coregulating the inflammatory response, we elucidated that modulation of IL‐36R‐P2X7R‐TLR axis affected hepatocyte steatosis as well as the IL‐36‐based inflammatory feedback loop that accompanies the onset of ASH.
Insect Visitors of Specialty Cut Flowers in High Tunnels

Abstract Various strategies incorporate floral resources into agricultural landscapes to support beneficial insects. Specialty cut flower production offers a rarely explored approach to offer floral resources while yielding a marketable product for growers. We characterized insect visitation to six species of specialty cut flowers. Due to Wyoming's growing conditions, the flowers were grown in high tunnels, thus offering insight into insect abundance in this unique semi-controlled environment. The flower species tested were Calendula officinalis, Celosia argentea, Daucus carota, Helichrysum bracteatum, Matthiola incana, and a Zinnia elegans-Zinnia hybrida mixture. At least four species were in bloom from early June through late September. The flowers attracted diverse pollinator groups including Diptera, Hymenoptera, Coleoptera, and Lepidoptera. Bees most often visited Ca. officinalis, H. bracteatum, and Celosia spicata whereas flies most often visited D. carota. Bombus were the most oft-collected bees from the flowers and were found on all six cut flower species. Wasp abundance varied little across the cut flowers, but wasp community composition was distinct. The highest diversity of wasp families was collected from the Zinnia mixture (seven families) in contrast to less diverse collections from Ce. spicata (two families). The most abundant wasp families collected were Crabronidae and Sphecidae. Our experiment documented that ornamental cut flower species attract pollinator insects into high tunnel environments. All cut flower species tested were visited by multiple types of beneficial insects. Planting a mixture of specialty cut flowers can support insect diversity while also diversifying on-farm agricultural products through sale of cut flower stems.
Implementation of Columbia Suicide Severity Rating Scale (C-SSRS) as a Universal Suicide Risk Screening tool in a High Volume Emergency Department

Abstract Objective To examine clinical and demographic parameters with regards to efficacy, resource utilization, and clinician burden associated with implementation of universal suicide screening by Columbia Suicide Severity Rating Scale (C-SSRS) in a single high-volume emergency department. Methods This retrospective cohort study, performed via chart review, included 10,197 adult patients seen in the emergency department over two specific time frames (4935 pre- and 5262 post-implementation of the screening tool). All visits with psychiatry consultation underwent further chart review (172 pre- and 217 post-) to compare number, length of stay (LOS) and demographics for psychiatric evaluations pre- and post- use of C-SSRS screening. Results Both groups were predominantly male with previous psychiatric diagnoses. Within the post-screening group, individuals tended to be older with lower likelihood of previously diagnosed psychiatric illness. No significant differences were seen in gender, psychiatric diagnosis, or outpatient psychiatric treatment. Incidence of psychiatric evaluation was slightly higher post-screening (18%) without meeting statistical significance, with more patients discharged home in the post- cohort. LOS was slightly lower after implementation of C-SSRS, without reaching statistical significance. Conclusions Implementation of universal screening showed increased demand for psychiatric evaluations, without meeting clinical significance in this limited analysis. Although there were slightly more psychiatric evaluations, more patients were discharged to home. LOS showed no statistical increase, even trending toward shorter duration for patients screened to be evaluated by psychiatry. Based on these results, efficient suicide screening may help identify at-risk individuals without overwhelming psychiatric resources or causing unnecessary increase in LOS. Highlights Rapid identification of suicide risk is important in an emergency department environment. Universal suicide screening has limitations, with concerns for emergency department resources. Use of C-SSRS for universal screening does not show significant burden to this department.
Cold-season freeze frequency is a pervasive driver of subcontinental forest growth

Significance The reduction of freeze exposure with winter warming has consequences for carbon sequestration by northern forests. Quantifying the impact of these changes on tree growth is, however, challenging because of among- and within-tree species variability in freeze tolerance and phenological cues. Here, we provide a comprehensive assessment of tree growth response to the cold-season frequency of freeze days using an extensive tree-ring dataset covering Canada’s forests. Our study shows that tree growth responses to freeze exposure vary in direction and magnitude by clade and species but also with leaf-out strategy, tree age and size, and environmental factors. Such quantification can help predict terrestrial carbon dynamics under climate change.
Consort Allergic Contact Dermatitis: A Systematic Review

Abstract Consort allergic contact dermatitis (CACD) develops following exposure to an allergen originating from another individual. The diagnosis is often not straightforward. We conducted a systematic review to characterize patient demographics, clinical features, consort types, responsible products, and associated allergens in CACD. A literature search was conducted in PubMed, EMBASE, Web of Science, and CINAHL Complete from inception to July 2020. In total, 183 articles describing 261 patients with CACD were included. Mean age was 40.9 years with female predominance (62.8%). The most common body sites involved were the face (48.6%), hand (30.4%), arm (20.9%), neck (17.8%), and genitals (11.5%). The most common consorts were partners/spouses (50.0%, of which 29.9% were related to sexual activity), children (19.4%), and healthcare providers (7.8%). Allergens were mainly encountered via direct contact with consorts (80.5% of cases). A caregiver relationship was involved in 27.6% of cases, and the consort’s occupation in 14.6%. The most frequently implicated products were medications (35.6%), plants/botanicals (11.7%), and fragrances (8.7%). Patch testing identified 125 unique allergens in CACD. CACD can occur in relation to many individuals encountered throughout life. Caregivers may represent a high-risk group for developing CACD. Obtaining a holistic history encompassing social, sexual, and occupational factors can aid in the diagnosis.
A streamlined method for the fast and cost-effective detection of bacterial pathogens from positive blood cultures for the BacT/ALERT blood culture system using the Vitek MS mass spectrometer

Background and objective Prompt pathogen identification of blood stream infections is essential to provide appropriate antibiotic treatment. Therefore, the objective of this prospective single centre study was to establish an inexpensive, fast and accurate protocol for bacterial species identification with SDS protein-extraction directly from BacT/Alert® blood culture (BC) bottles by VitekMS®. Results Correct species identification was obtained for 198/266 (74.4%, 95%-CI = [68.8%, 79.6%]) of pathogens. The protocol was more successful in identifying 87/96 (91.4%, 95%-CI = [83.8%, 93.2%]) gram-negative bacteria than 110/167 (65.9%, 95%-CI = [58.1%, 73.0%]) gram-positive bacteria. The hands-on time for sample preparation and measurement was about 15 min for up to five samples. This is shorter than for most other protocols using a similar lysis-centrifugation approach for the combination of BacT/Alert® BC bottles and the Vitek® MS mass spectrometer. The estimated costs per sample were approx. 1.80€ which is much cheaper than for commercial kits. Conclusion This optimized protocol allows for accurate identification of bacteria directly from blood culture bottles for laboratories equipped with BacT/Alert® blood culture bottles and VitekMS® mass spectrometer.