Species Composition of the Lichen Biota in Industrially Polluted Territories of Leninsky District of Irkutsk

In the context of the development of infrastructure in Siberian cities, the issues of the state of the areas with accumulated environmental damage is especially relevant. It is mentioned in the article that lichen indication is an efficient method of passive monitoring of environment for industrial pollutants caused by morphological changes occurring in sensitive objects. The results of the lichen floristic research of Leninsky district of Irkutsk are presented, a list of revealed lichens including 9 genera and 12 species is given, a taxonomic list of this area is discussed. Lichenological objects were mapped. Distribution of lichens in the area of research is investigated with regard to the presence of recreational and residential zones. The authors draw a conclusion about the presence of «lichens deserts» which are caused both by the absence of the respective substratum and high concentration of pollutants. High concentration of pollutants is caused by complex influence of different enterprises on the quality of air.

Additive Manufacturing of Miniaturized Peak Temperature Monitors for In-Pile Applications

Passive monitoring techniques have been used for peak temperature measurements during irradiation tests by exploiting the melting point of well-characterized materials. Recent efforts to expand the capabilities of such peak temperature detection instrumentation include the development and testing of additively manufactured (AM) melt wires. In an effort to demonstrate and benchmark the performance and reliability of AM melt wires, we conducted a study to compare prototypical standard melt wires to an AM melt wire capsule, composed of printed aluminum, zinc, and tin melt wires. The lowest melting-point material used was Sn, with a melting point of approximately 230 °C, Zn melts at approximately 420 °C, and the high melting-point material was aluminum, with an approximate melting point of 660 °C. Through differential scanning calorimetry and furnace testing we show that the performance of our AM melt wire capsule was consistent with that of the standard melt-wire capsule, highlighting a path towards miniaturized peak-temperature sensors for in-pile sensor applications.

A smartphone sensor-based digital outcome assessment of multiple sclerosis

Background: Sensor-based monitoring tools fill a critical gap in multiple sclerosis (MS) research and clinical care. Objective: The aim of this study is to assess performance characteristics of the Floodlight Proof-of-Concept (PoC) app. Methods: In a 24-week study (clinicaltrials.gov: NCT02952911), smartphone-based active tests and passive monitoring assessed cognition (electronic Symbol Digit Modalities Test), upper extremity function (Pinching Test, Draw a Shape Test), and gait and balance (Static Balance Test, U-Turn Test, Walk Test, Passive Monitoring). Intraclass correlation coefficients (ICCs) and age- or sex-adjusted Spearman’s rank correlation determined test–retest reliability and correlations with clinical and magnetic resonance imaging (MRI) outcome measures, respectively. Results: Seventy-six people with MS (PwMS) and 25 healthy controls were enrolled. In PwMS, ICCs were moderate-to-good (ICC(2,1) = 0.61–0.85) across tests. Correlations with domain-specific standard clinical disability measures were significant for all tests in the cognitive ( r = 0.82, p < 0.001), upper extremity function (|r|= 0.40–0.64, all p < 0.001), and gait and balance domains ( r = −0.25 to −0.52, all p < 0.05; except for Static Balance Test: r = −0.20, p > 0.05). Most tests also correlated with Expanded Disability Status Scale, 29-item Multiple Sclerosis Impact Scale items or subscales, and/or normalized brain volume. Conclusion: The Floodlight PoC app captures reliable and clinically relevant measures of functional impairment in MS, supporting its potential use in clinical research and practice.

Analisis Jumlah Pengguna pada Traffic IP-based dengan Multi Criteria Decision Making

AbstrakTrafik telekomunikasi sudah bermigrasi ke IP-based Traffic. Salah satunya adalah Laboratorium TIK (Teknologi Informasi dan Komunikasi) ITENAS yang meng-generate invarian trafik. Pada penelitian ini, penulis melakukan monitoring pasif dan aktif untuk mendapatkan berbagai invarian trafik. Monitoring pasif didapatkan dari software ISP Moratel dan SOPHOS Firewall. Monitoring aktif dilakukan dengan capture data secara live pada waktu jam sibuk. Invarian trafik yang berhasil di-captured adalah incoming traffic, outgoing traffic, speed, volume, date dan downtime. Jam sibuk diambil berdasarkan dugaan sementara mulai pukul 10.00-16.00. Invarian ini menjadi input dari sistem untuk dijadikan kriteria dan jam sibuk dijadikan atribut. Kriteria dan atribut diolah dengan metoda Multi Criteria Decision Making yaitu SAW (Simple Additive Weighting) dan AHP(Analytical Hierarchy Process). Output dari sistem adalah prediksi jumlah pengguna di jam sibuk dengan skala fuzzy rules. Hasil penelitian menyimpulkan pukul 11.00 AM-12.00 PM adalah jam tersibuk dengan jumlah user terbanyak.Kata kunci: monitoring aktif, monitoring pasif, kriteria, atribut,bobotAbstractTelecommunication traffic has migrated to IP-based traffic .One of the industry is Laboratorium TIK ITENAS (Teknologi Informasi dan Komunikasi) which generates traffic invariant. In this study, the authors conducted passive and active monitoring to obtain various traffic invariance. Passive monitoring were obtained from ISP Moratel software and SOPHOS Firewall. Active monitoring were done by capturing live data during peak hours. Traffic invariance that have been captured consist incoming traffic, outgoing traffic, speed, volume, date and downtime. Busy hours were taken based on personal estimation start from 10.00-16.00. This invariance became the system’s input which has been used as criteria and peak hours are used as attributes. Criteria and attributes were processed using the Multi Criteria Decision Making method, namely SAW (Simple Additive Weighting and AHP (Analytical Hierarchy Process). The output of the system is user’s number prediction with fuzzy scale. The result concluded that 11.00 AM-12.00 PM is the busiest hours with the most number of usersKeywords: active monitoring, passive monitoring, criterion, attributes, weight

Digital Phenotyping of Emotion Dysregulation Across Lifespan Transitions to Better Understand Psychopathology Risk

Ethical and consensual digital phenotyping through smartphone activity (i. e., passive behavior monitoring) permits measurement of temporal risk trajectories unlike ever before. This data collection modality may be particularly well-suited for capturing emotion dysregulation, a transdiagnostic risk factor for psychopathology, across lifespan transitions. Adolescence, emerging adulthood, and perinatal transitions are particularly sensitive developmental periods, often marked by increased distress. These participant groups are typically assessed with laboratory-based methods that can be costly and burdensome. Passive monitoring presents a relatively cost-effective and unobtrusive way to gather rich and objective information about emotion dysregulation and risk behaviors. We first discuss key theoretically-driven concepts pertaining to emotion dysregulation and passive monitoring. We then identify variables that can be measured passively and hold promise for better understanding emotion dysregulation. For example, two strong markers of emotion dysregulation are sleep disturbance and problematic use of Internet/social media (i.e., use that prompts negative emotions/outcomes). Variables related to mobility are also potentially useful markers, though these variables should be tailored to fit unique features of each developmental stage. Finally, we offer our perspective on candidate digital variables that may prove useful for each developmental transition. Smartphone-based passive monitoring is a rigorous method that can elucidate psychopathology risk across human development. Nonetheless, its use requires researchers to weigh unique ethical considerations, examine relevant theory, and consider developmentally-specific lifespan features that may affect implementation.

Indoor Acoustic Requirements for Autism-Friendly Spaces

The architecture of spaces for people on the autistic spectrum is evolving toward inclusive design, which should fit the requirements for independent, autonomous living, and proper support for relatives and caregivers. The use of smart sensor systems represents a valuable support to internal design in order to achieve independent living for impaired people. Accordingly, these devices can monitor or prevent hazardous situations, ensuring security and privacy. Acoustic sensor systems, for instance, could be used in order to realize a passive monitoring system. The correct functioning of such devices needs optimal indoor acoustic criteria. Nevertheless, these criteria should also comply with dedicated acoustic requests that autistic individuals with hearing impairment or hypersensitivity to sound could need. Thus, this research represents the first attempt to balance, integrate, and develop these issues, presenting (i) a wide literature overview related to both topics, (ii) a focused analysis on real facility, and (iii) a final optimization, which takes into account, merges, and elucidates all the presented unsolved issues.