Structure Of Mats Research Articles

Software Packages and Tools for the Analysis of Continuous Glucose Monitoring Data.

The advancement of technology in the field of glycemic control has led to the widespread use of continuous glucose monitoring (CGM), which can be nowadays obtained from wearable devices equipped with a minimally invasive sensor, that is, transcutaneous needle type or implantable, and a transmitter that sends information to a receiver or smart device for data storage and display. This work aims to review the currently available software packages and tools for the analysis of CGM data. Based on the purposes of this work, 12 software packages have been identified from the literature, published until December 2021, namely: GlyCulator, EasyGV (Easy Glycemic Variability), CGM-GUIDE© (Continuous Glucose Monitoring Graphical User Interface for Diabetes Evaluation), GVAP (Glycemic Variability Analyzer Program), Tidepool, CGManalyzer, cgmanalysis, GLU, CGMStatsAnalyser, iglu, rGV, and cgmquantify. Comparison of available software packages and tools has been done in terms of main characteristics (i.e., publication year, presence of a graphical user interface, availability, open-source code, number of citations, programming language, supported devices, supported data format and organization of the data structure, documentation, presence of a toy example, video tutorial, data upload and download, measurement-units conversion), preprocessing procedures, data display options, and computed metrics; also, each of the computed metrics has been analyzed in terms of its adherence to the American Diabetes Association (ADA) 2017 international consensus on CGM data analysis and the ADA 2019 international consensus on time in range. Eventually, the agreement between metrics computed by different software and tools has been investigated. Based on such comparison, usability and complexity of data management, as well as the possibility to perform customized or patients-group analyses, have been discussed by highlighting limitations and strengths, also in relation to possible different user categories (i.e., patients, clinicians, researchers). The information provided could be useful to researchers interested in working in the diabetic research field as to clinicians and endocrinologists who need tools capable of handling CGM data effectively.

Manufacturing and Characterization of Wide-Bundle Bamboo Scrimber: A Comparison with Other Engineered Bamboo Composites.

Controlling the variability in mat structure and properties in bamboo scrimber (BS) is key to producing the product for structural applications, and wide strip scrimber (WBS) is an effective approach. In this study, the effects of scrimmed bamboo bundle morphology and product density on the properties of WBS were investigated. WBS panels were manufactured and tested using wide (200 to 250 mm) bamboo strips with different fiberization intensity. Maximum strength properties (flexural, compressive, and shear strength), and lowest thickness swelling and water absorption were achieved with three or four passes due to the higher resin absorption by strips. For balanced product cost and performance, we recommend 1-2 fiberization passes and a panel density of 0.9-1.0 g/cm3. Panel mechanical properties were compared with other common bamboo composites. Bamboo scrimber products were highly variable in properties due to differing manufacturing processes, element treatments, and suboptimal mat structure. Products including laminated bamboo lumber and flattened bamboo made from nonfiberized elements show markedly different relationships between strength and elastic properties mostly due to inadequate bonding between the laminae, which causes premature bond-line failure. This study helped improve the understanding of the structure-property relationship of engineered bamboo products while providing insights into process optimization.

Designing nanofibrous poly(ε-caprolactone)/hydroxypropyl cellulose/zinc oxide/Melilotus Officinalis wound dressings using response surface methodology

Nanofibrous wound dressing is one of the most prominent stratagems for wound caring/management. This research is an approach for designing an electrospun wound dressing based on poly(ε-caprolactone)/hydroxypropyl cellulose/zinc oxide nanoparticles (PCL/HPC/n-ZnO), in which response surface methodology (RSM) was utilized to ascertain the optimum sample. It was observed that the addition of n-ZnO and Melilotus Officinalis (MO) extract could increase the fibers mean diameter, pore size, and crystallinity of mats. The mentioned quantities for a sample with the highest MO content (PHZM10) were equal to 469±105 nm, 544±370 nm, and 49.67%, respectively. Moreover, enhancing the amount of MO led to an increase in mechanical properties. In this respect, the PHZM10 sample had the modulus, strength, and toughness of 82.41±0.61, 20.45±0.30 MPa, and 4194.86 mJ, respectively. Also, according to the MTT assay, no cytotoxicity was reported from any of the manufactured samples. Besides, it was concluded that the antibacterial activity and nanofibrous structure of mats, and also their potential for release of MO extract could accelerate the wound healing. Hence, the wound closure index for the PHZM10 group was 99.3±1.1%. Based on all noted results, the PCL/HPC/n-ZnO/MO electrospun mats can be proposed as reassuring wound dressing candidates.

Effect of Mat Fiber Lay-up and Resin Transfer Molding Process on Flexural and Tensile Properties of Luffa Mat Reinforced Composites

ABSTRACT In this paper, two different parts of fiber orientation in the structure of luffa mat, quasi-unidirectional (Part A) and random (Part B), were examined in tensile test. Flexural and tensile tests were conducted on composites reinforced with luffa fiber mat produced by a resin transfer molding (RTM) process. Additionally, the effect of the superposition of the luffa mat, as well as the method of manufacturing on the improvement of the mechanical properties of composites, was studied. Obtained results have shown that the tensile mechanical properties of the luffa mat show Young’s modulus and the tensile strength are higher where the fibers are in the quasi-unidirectional direction (Part A) and strain at break is higher where the fibers are randomly oriented (Part B). The steps followed for the preparation, the superposition of the luffa mat, and the method of manufacturing of the luffa/epoxy composites have shown better mechanical properties in tensile and flexural, with Young’s modulus values of 7.41 ± 0.42 and 6.79 ± 0.3 GPa and strengths of 67.77 ± 1.82 and 67.57 ± 4.29 MPa, respectively, compared to other luffa fiber-reinforced composites already cited in all literature.

Smart Sensor Management System Supporting Service Plug-In in MQTT-Based IIoT Applications

Industrial IoT applications, including smart factories, require two problem-solving to build data monitoring systems required by services from distributed IoT sensors (smart sensors). One is to overcome proprietary protocols, data formats, and hardware differences and to uniquely identify and connect IoT sensors, and the other is to overcome the problem of changing the server-side data storage structure and sensor data transmission format according to the addition or change of service or IoT sensors. The IEEE 1451.4 standard-based or IPMI specification-based smart sensor technology supports the development of plug-and-play sensors that solve the first problem. However, there is a lack of research that requires a second problem-solving, which requires support for the plug-in of IoT sensors into remote services. To propose a solution for the integration of these two problem-solving, we present a IoT sensor platform, a service system architecture, and a service plug-in protocol for the MQTT-based IIoT application environment.

Document Automation Using Artificial Intelligence

Abstract: Documents such as Invoices, receipts, bills, ID cards, and passports are basic and very common documents around the world which are used for accounting, tax records, payments, financial history, performing activities like data analytics, digitizing company’s records etc. All these documents are available in different formats such as images, PDFs and hard copies (paper). To retrieve the data from these documents, a person needs to manually write or type the data from documents to the table, which is time-consuming as well as irritating. We provide a simple, unique and easily implementable end-to-end approach that uses AI and Deep Learning models to automate the above tasks by just uploading the document of any format image, PDF or Docs, and the software will extract the data and save it in the required structural format. Our approach eliminates the need to manually enter data in an Excel or database record with no limit on the amount of work while companies are facing problems because of their limited workforce and limited work hour for manual data entry, but our software can run 24x7.

Guiding mesenchymal stem cells differentiation into chondrocytes using sulfated alginate/cold atmospheric plasma modified polycaprolactone nanofibrous scaffold

Using tissue engineering approaches is one of interesting strategies to repair cartilage injuries. This study reports the preparation of surface-modified electrospun polycaprolactone nanofibrous scaffolds with highly negatively-charged sulfated alginate as functional support for chondrogenic differentiation of mesenchymal stem cells. In this regard, polycaprolactone (PCL) nanofibers were fabricated by electrospinning, surface-activated by cold atmospheric plasma and further surface-modified with aqueous solutions of sulfated alginate. The scanning electron microscopy images showed the nanofibrous structure of electrospun PCL mats. The successful surface modification of PCL nanofibrous scaffolds with sulfated alginate was confirmed by the appearance of fingerprint region of mannuronic acid at 812 cm−1 in attenuated total reflectance Fourier transform infrared spectroscopy spectra. The cytocompatibility of the nanofibrous scaffolds for mesenchymal stem cells (MSCs) was confirmed using MTT assay. Reverse transcription polymerase chain reaction (RT-PCR) and immunocytochemistry for type 2 COLLAGEN marker were conducted to confirm the chondrogenic differentiation of seeded MSCs on the surface of scaffolds. The expression of type 2 COLLAGEN by RT-PCR and immunocytochemistry analyses confirmed the chondrogenic differentiation of MSCs. Our results showed that sulfated alginate surface-modified PCL nanofibrous scaffold as an appropriate substrate for cell attachment and growth could promote the MSCs differentiate to chondrocytes.

Effect of experimentally increased nutrient availability on the structure, metabolic activities, and potential microbial functions of a maritime Antarctic microbial mat.

The role of competitive interactions based on resource utilisation was explored in a phototrophic microbial mat from Byers Peninsula (Maritime Antarctica). Shotgun metagenomic profiling of the mat showed a taxonomic and functionally diverse microbial community. The heterotrophic bacterial community was dominated by Proteobacteria, where genera typically found in polar habitats, such as Janthinobacterium, Pseudomonas, and Polaromonas, were highly prevalent. Cyanobacteria played the main role as primary producers, accompanied by diatoms and chlorophytes. To test the potential effects of the inorganic nutrient (N and P) availability on this community, a fully factorial nitrate and phosphorus addition experiment was conducted in situ. The mat exhibited a functional and structural response to the nutrient amendments. Compared to the undisturbed mat, phosphorus fertilisation favoured the growth of (non-heterocystous) cyanobacteria relative to that of diatoms, as indicated by changes in the carotenoid pigment biomarkers. Although no mat accretion was visible, fertilisation improved the phototrophic activity, and, mainly, when P was amended, the production of exopolymeric substances was favoured, whereas further changes in the vertical distribution of primary production activity were observed as well. Illumina amplicon sequencing of the 16S rRNA gene also demonstrated changes in the relative abundance of heterotrophic prokaryotes, which were detectable from the phylum to the genus level and mainly related to the amendment of nitrogen. Predictions made on the functional skills of these shifted prokaryotic communities indicated changes in abundance selecting taxa with a metabolic adaptation to the new nutrient scenarios. They mainly consisted of the enhancement of ecological strategies and metabolic regulatory mechanisms related to the uptake and metabolising of either nitrogen or phosphorus, regulated by its availability whether in a balanced way or not. This study is a pioneer in demonstrating how shifts in the regional dynamic of nutrients might alter the metabolic equilibrium of these initially considered homeostatic benthic communities. They can be accordingly considered as taxonomically diverse microbiomes with a functional repertoire still inclined to respond to the biogeochemical alteration of nutrient cycles, although occurring in a cold extreme environment where biological activity is partially restricted by environmental harshness.

A behavioral and brain imaging dataset with focus on emotion regulation of women with fibromyalgia

Fibromyalgia is a chronic condition characterized by widespread pain, as well as numerous symptoms related to central sensitization such as: fatigue, cognitive disturbances, constipation/diarrhea and sensory hypersensitivity. Furthermore, depression and anxiety are prevalent comorbidities, accompanied by emotion processing and regulation difficulties. Although fibromyalgia physiopathology is still not fully understood, neuroimaging research methods have shown brain structural and functional alterations as well as neuroinflammation abnormalities. We believe that open access to data may help fibromyalgia research advance more. Here, we present an open dataset of 33 fibromyalgia female patients and 33 paired healthy controls recruited from a Mexican population. Dataset includes demographic, clinical, behavioural and magnetic resonance imaging (MRI) data. The MRI data consists of: structural (T1- and T2- weighted) and functional (task-based and resting state) sequences. The task was an emotion processing and regulation task based on visual stimuli. The MRI data contained in the repository are unprocessed, presented in Brain Imaging Data Structure (BIDS) format and available on the OpenNeuro platform for future analysis.

Pengembangan LKPD Menulis Pantun Berbasis Pedagogi Genre Berbantuan Kamus Rima Kata Online di Sekolah Dasar

The purpose of this study was to describe the development, feasibility, and response, as well as to determine the effectiveness of LKPD Writing Pantun Based on Genre Pedagogy Assisted by Online Rima Kata Dictionary in Elementary Schools. This type of research is Research & Development (R & D), with the ADDIE model (Analyze, Design, Development, Implementation, Evaluation). The research sites are at SDIT Al-Ahsan and SDN 69 Seluma on February 21 – March 8, 2022. Based on the needs analysis, students and teachers need LKPD in learning to write pantun. The LKPD design is made by combining the LKPD structure format, genre pedagogical approach, and the rima kata dictionary media used. Design this LKPD using the Canva app. This LKPD is suitable for use with very high content validity in material and language aspects (1), and high media aspects (0.7), with medium inter-rater reliability in material aspects (40%), strong language aspects (70%), and weak media aspect (30%). The teacher's response to the use of the LKPD was very good, as was the response of the students (97.8%). This LKPD is effectively used and proven to improve student learning outcomes in writing pantun

Scalable approach to fabricate paper-based biomass reduced graphene sensor for the detection of exhaled diabetic breath

Herein, we demonstrate a microwave-assisted chemical reduction technique to exfoliate a few layers of graphene from the natural waste material, ‘coconut shell’. The microwave irradiation coconut shell is subjected to structural, morphological and functional groups characterization methods including SEM, Raman, FTIR and XPS spectroscopic analyses. The formation of biomass reduced graphene (BRG) has been confirmed through Raman and FTIR spectroscopic analyzes with the presence of D, G and 2D and other functional spectral bands, respectively. The surface topography of the BRG exhibits two-dimensional mat structures with wrinkle topography, imaged by electron microscopic techniques. The metallic behaviour of the BRG is evaluated by band structure calculation using density functional theory. The synthesized nanostructure has been evaluated for exhaled diabetic breath sensing application by fabricating sensor device on the paper-based substrate by roll-to-roll coating technique. The BRG sensor exhibited enhanced sensing response at a very lower concentration of diabetic biomarker with long term stability and rapid response/recovery time of 1.11 s/41.25 s, respectively. Based on our findings, the microwave-assisted BRG is a potential candidate for fabricating highly scalable, inherently safe, economically viable and excellent sensing performance to detect exhaled diabetic breath at room temperature.

BIOSIGNATURE PRESERVATION AIDED BY ORGANIC-CATION INTERACTIONS IN PROTEROZOIC TIDAL ENVIRONMENTS

Abstract The preservation of organic biosignatures during the Proterozoic Eon required specific taphonomic windows that could entomb organic matter to preserve amorphous kerogen and even microbial body fossils before they could be extensively degraded. Some of the best examples of such preservation are found in early diagenetic chert that formed in peritidal environments. This chert contains discrete domains of amorphous kerogen and sometimes kerogenous microbial mat structures and microbial body fossils. Our understanding of how these exquisite microfossils were preserved and the balance between organic degradation and mineral formation has remained incomplete. Here, we present new insights into organic preservation in Proterozoic peritidal environments facilitated through interactions among organic matter, cations, and silica. Organic matter from Proterozoic peritidal environments is not preserved by micro- or cryptocrystalline quartz alone. Rather, preservation includes cation-rich nanoscopic phases containing magnesium, calcium, silica, and aluminum that pre-date chert emplacement and may provide nucleation sites for silica deposition and enable further chert development. Using scanning electron microscopy and elemental mapping with energy dispersive X-ray spectroscopy, we identify cation enrichment in Proterozoic organic matter and cation-rich nanoscopic phases that pre-date chert. We pair these analyses with precipitation experiments to investigate the role of cations in the precipitation of silica from seawater. Our findings suggest that organic preservation in peritidal environments required rapid formation of nanoscopic mineral phases through the interactions of organic matter with seawater. These organic-cation interactions likely laid the initial foundation for the preservation and entombment of biosignatures, paving the way for the development of the fossiliferous chert that now contains these biosignatures and preserves a record of Proterozoic life.

Unexpected diversity found within benthic microbial mats at hydrothermal springs in Crater Lake, Oregon.

Crater Lake, Oregon is an oligotrophic freshwater caldera lake fed by thermally and chemically enriched hydrothermal springs. These vents distinguish Crater Lake from other freshwater systems and provide a unique ecosystem for study. This study examines the community structure of benthic microbial mats occurring with Crater Lake hydrothermal springs. Small subunit rRNA gene amplicon sequencing from eight bacterial mats was used to assess community structure. These revealed a relatively homogeneous, yet diverse bacterial community. High alpha diversity and low beta diversity indicate that these communities are likely fueled by homogeneous hydrothermal fluids. An examination of autotrophic taxa abundance indicates the potential importance of iron and sulfur inputs to the primary productivity of these mats. Chemoautotrophic potential within the mats was dominated by iron oxidation from Gallionella and Mariprofundus and by sulfur oxidation from Sulfuricurvum and Thiobacillus with an additional contribution of nitrite oxidation from Nitrospira. Metagenomic analysis showed that cbbM genes were identified as Gallionella and that aclB genes were identified as Nitrospira, further supporting these taxa as autotrophic drivers of the community. The detection of several taxa containing arsC and nirK genes suggests that arsenic detoxification and denitrification processes are likely co-occurring in addition to at least two modes of carbon fixation. These data link the importance of the detected autotrophic metabolisms driven by fluids derived from benthic hydrothermal springs to Crater Lake’s entire lentic ecosystem.

Bridging data management platforms and visualization tools to enable ad-hoc and smart analytics in life sciences.

Core facilities have to offer technologies that best serve the needs of their users and provide them a competitive advantage in research. They have to set up and maintain instruments in the range of ten to a hundred, which produce large amounts of data and serve thousands of active projects and customers. Particular emphasis has to be given to the reproducibility of the results. More and more, the entire process from building the research hypothesis, conducting the experiments, doing the measurements, through the data explorations and analysis is solely driven by very few experts in various scientific fields. Still, the ability to perform the entire data exploration in real-time on a personal computer is often hampered by the heterogeneity of software, the data structure formats of the output, and the enormous data sizes. These impact the design and architecture of the implemented software stack. At the Functional Genomics Center Zurich (FGCZ), a joint state-of-the-art research and training facility of ETH Zurich and the University of Zurich, we have developed the B-Fabric system, which has served for more than a decade, an entire life sciences community with fundamental data science support. In this paper, we sketch how such a system can be used to glue together data (including metadata), computing infrastructures (clusters and clouds), and visualization software to support instant data exploration and visual analysis. We illustrate our in-daily life implemented approach using visualization applications of mass spectrometry data.

The novel approach to physico-chemical modification and cytocompatibility enhancement of fibrous polycaprolactone (PCL) scaffolds using soft X-ray/extreme ultraviolet (SXR/EUV) radiation and low-temperature, SXR/EUV induced, nitrogen and oxygen plasmas

The fundamental aspect of the fabrication of microporous, fibrous biomaterials in form of scaffolds is the optimization of their surface properties to enhance cellular response. In this work, a novel approach to physico-chemical modification and bioactivity enhancement of electrospun fibrous polycaprolactone (PCL) nonwovens using soft X-ray/extreme ultraviolet (SXR/EUV) irradiation and exposure to a low-temperature, SXR/EUV induced, nitrogen and oxygen plasmas is presented for the first time.Chemical alterations and morphology of the fibrous structure of irradiated PCL mats were examined using X-ray photoelectron spectroscopy (XPS) and scanning electron microscopy (SEM), respectively. The impact of introduced changes on viability, morphology, and adhesion of L929 mouse fibroblasts was examined. It was found that simultaneous interaction of SXR/EUV radiation and N2 or O2 photoionized plasmas led to strong chemical decomposition of the surface of fibrous PCL mats. Also, mats’ spatial porous structure was not damaged and the fibers were not broken or fused. All modified samples demonstrated cyto-compatible and non-cytotoxic properties. Enhancement of L929 cell adhesion and increased proliferation were also observed.

THE STRUCTURE FORMAT OF ABSTRACTS: A SURVEY OF LEADING DENTAL JOURNALS AND THEIR EDITORS.

To present the actual usage of different structure formats in abstracts of randomized controlled trials (RCTs) and systematic reviews (SRs) published in SCIE-indexed dental journals, and to assess the awareness, knowledge, as well as attitudes towards the structured formats of RCT and SR abstracts among editors-in-chief (EICs) of dental journals. In the first part of this study, we selected SCIE-indexed dental journals and assessed their eligibility according to pre-determined criteria. All RCTs and SRs published in the included journals during January-June 2020 were identified through a hand-search. The actual usage of different structure formats and headings, as well as relevant editorial policies were extracted. In the second part, an anonymous online survey among the EICs of included dental journals was conducted. A total of 88 journals were included, from which 364 RCT abstracts and 130 SR abstracts were identified. For RCT abstracts, 86% were structured, with 83% in IMRaD format (Introduction, Methods, Results, and Discussion) and 3% in highly structured (HS) format. For SR abstracts, 80% were structured, including 73% in IMRaD and 7% in HS format. According to the "instructions to authors", most journals required either IMRaD (68%) or HS (5%) for RCTs, while less than half required either IMRaD (36%) or HS (9%) for SRs. Twenty-one (24%) EICs participated in our survey, among which 18 agreed that structured formats could improve the reporting quality of RCT abstracts, while only 12 of them thought HS format should be widely recommended in the dental field. Compared with the HS format, IMRaD was more frequently used and required among RCT and SR abstracts in dentistry. Structured formats held a relatively high degree of recognition among EICs of dental journals. Joint efforts are needed for improving the awareness and usage of HS format.

The NIMH intramural healthy volunteer dataset: A comprehensive MEG, MRI, and behavioral resource

The NIMH Healthy Research Volunteer Dataset is a collection of phenotypic data characterizing healthy research volunteers using clinical assessments such as assays of blood and urine, mental health assessments, diagnostic and dimensional measures of mental health, cognitive and neuropsychological functioning, structural and functional magnetic resonance imaging (MRI), along with diffusion tensor imaging (DTI), and a comprehensive magnetoencephalography battery (MEG). In addition, blood samples of healthy volunteers are banked for future analyses. All data collected in this protocol are broadly shared in the OpenNeuro repository, in the Brain Imaging Data Structure (BIDS) format. In addition, task paradigms and basic pre-processing scripts are shared on GitHub. There are currently few open access MEG datasets, and multimodal neuroimaging datasets are even more rare. Due to its depth of characterization of a healthy population in terms of brain health, this dataset may contribute to a wide array of secondary investigations of non-clinical and clinical research questions.

Effect of bamboo fiber aspect ratio on the bending properties of bamboo fiber/polypropylene composite

Aspect ratio is a critical parameter of bamboo fiber (BF), and is not well defined for the bending properties of BF composite for automobile inner parts. In this study, six different types of BF were extracted and tensile tested that 20–130 mm in length and 483–713 in aspect ratio, then mixed with polypropylene (PP) fiber which has been added 5%wt maleic anhydride grafted polypropylene by non-fabric and heat pressing technology. The results present that the bending performance of BF composite is the best when the BF aspect ratio is 600–700; and the modified Halpin–Tsai equation with anisotropic material factor can approximate fitting out the relationship between BF aspect ratio and bending modulus of BF/PP composite. Polyvinyl alcohol can effectively enhance the three dimensional (3D) cross structure of non-fabric mats showed by optical microscopy images, so as improve the bending modulus of 12%.

Pupillometry and electroencephalography in the digit span task

This dataset consists of raw 64-channel EEG, cardiovascular (electrocardiography and photoplethysmography), and pupillometry data from 86 human participants recorded during 4 minutes of eyes-closed resting and during performance of a classic working memory task – digit span task with serial recall. The participants either memorized or just listened to sequences of 5, 9, or 13 digits presented auditorily every 2 seconds. The dataset can be used for (1) developing algorithms for cognitive load discrimination and detection of cognitive overload; (2) studying neural (event-related potentials and brain oscillations) and peripheral (electrocardiography, photoplethysmography, and pupillometry) physiological signals during encoding and maintenance of each sequentially presented memory item; (3) correlating cognitive load and individual differences in working memory to neural and peripheral physiology, and studying the relationship between the physiological signals; (4) integration of the physiological findings with the vast knowledge coming from behavioral studies of verbal working memory in simple span paradigms. The data are shared in Brain Imaging Data Structure (BIDS) format and freely available on OpenNeuro (https://openneuro.org/datasets/ds003838).

Applying Different Strategies of Task Constraint Manipulation in Small-Sided and Conditioned Games: How Do They Impact Physical and Tactical Demands?

This study aimed to investigate how different strategies of task constraint manipulation impact physical and tactical demands in small-sided and conditioned games (SSCG). Ten recreational U-17 soccer players participated in this study (16.89 ± 0.11 years). We used different strategies of task manipulation to design two 4 vs. 4 SSCG: Structural SSCG and Functional SSCG. In Structural SSCG, pitch format and goal sizes were manipulated, while in Functional SSCG, players were allowed to kick the ball twice and at least 5 passes to shoot at the opponent’s goal. Players participated in four Structural and Functional SSCG, of five minutes duration with a two-minute interval in between. Players’ physical performance and tactical behavior were assessed using the WIMU PROTM inertial device. Structural SSCG stimulated players to cover more distance in sprinting (p = 0.003) and high-speed running (p < 0.001). Regarding tactical behavior, Structural SSCG stimulated players to explore game space better (p < 0.001). Moreover, Functional SSCG stimulated players to be closer to the ball, decreasing the effective playing space (p = 0.008). We conclude that these strategies of task constraint manipulation impact physical and tactical demands of the game.