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      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/25f223bfc85d55493de07f7c8c5d9718a/inspo5",         
         "tags" : [
            "active","activity","apogee","back","disorders","electromyography","exoskeleton","lower","movement","muscle","musculoskeletal","velocity"
         ],
         
         "intraHash" : "5f223bfc85d55493de07f7c8c5d9718a",
         "interHash" : "d43970df13496122338acd5777620812",
         "label" : "Biomechanical analysis of different lifting speeds when using an active exoskeleton",
         "user" : "inspo5",
         "description" : "",
         "date" : "2025-11-14 11:42:57",
         "changeDate" : "2025-11-14 11:42:57",
         "count" : 2,
         "pub-type": "article",
         "journal": "Frontiers Bioeng. Biotechnol. Sec.Biomechanics",
         "year": "2025", 
         "url": "https://www.frontiersin.org/journals/bioengineering-and-biotechnology/articles/10.3389/fbioe.2025.1685634/full", 
         
         "author": [ 
            "Dominik Mayer","Tobias Siebert","Jens Hasenmaier","Norman Stutzig"
         ],
         "authors": [
         	
            	{"first" : "Dominik",	"last" : "Mayer"},
            	{"first" : "Tobias",	"last" : "Siebert"},
            	{"first" : "Jens",	"last" : "Hasenmaier"},
            	{"first" : "Norman",	"last" : "Stutzig"}
         ],
         
         "editor": [ 
            "Tobias Siebert"
         ],
         "editors": [
         	
            	{"first" : "Tobias",	"last" : "Siebert"}
         ],
         "volume": "13","abstract": "Introduction: Musculoskeletal disorders (MSDs), especially lower back pain, are common consequences of repetitive and long-term mechanical stress. Exoskeletons offer a promising approach to reduce this stress by supporting the wearer during physical labour. This study investigated the effect of an active exoskeleton (Apogee) on muscle activation and joint kinematics during load lifting at different lifting speeds and exoskeleton support levels.\r\n\r\nMethods: Sixteen healthy young adults (8 male, 8 female) lifted a 15 kg box at two lifting speeds (9 and 12 lifting cycles/min) and four support levels: 1) without exoskeleton, 2) exoskeleton in passive mode, 3) 50% support and 20% counterforce, 4) 100% support and 60% counterforce. Muscle activity was measured in the M. erector spinae (MES), M. biceps femoris (MBF) and M. vastus medialis (MVM) using EMG. Furthermore, joint range of motion (ROM) in the ankle, knee and hip were analysed using 3D motion capture.\r\n\r\nResults: Faster lifting significantly (p < 0.05) increased MBF (by 4.0% ± 1.5% maximum voluntary contraction, MVC) and MVM (1.6% ± 0.7% MVC) activity, while MES remained unaffected. The highest support level led to a significant decrease in MES and MBF activity by about 22.3% MVC and 10.6% MVC, respectively, as well as a small increase in hip joint ROM by 6° compared to lifting without exoskeleton support. There was no interaction between the level of support and lifting speed.\r\n\r\nDiscussion: The decrease in MES activity of 22.3% MVC with full support suggests a potent reduction in spinal load. MBF activity increased less with higher speeds when support was applied. The MVM showed low and stable activity across all conditions. These findings suggest that the active exoskeleton Apogee provides support regardless of lifting speed and may help prevent MSDs in occupational settings. Users can adjust support levels based on task requirements and personal comfort.",
         "language" : "English",
         
         "doi" : "10.3389/fbioe.2025.1685634",
         
         "bibtexKey": "mayer2025biomechanical"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/293dbfd71d89a98b4b0b93df76d9f3ec4/inspo5",         
         "tags" : [
            "Cray","PN2-8","X","activity","back","disorders","electromyography","exertion","exoskeleton","lower","muscle","musculoskeletal","occupational","perceived","safety"
         ],
         
         "intraHash" : "93dbfd71d89a98b4b0b93df76d9f3ec4",
         "interHash" : "f4b756ccc11536a1ccd58f2bb493eb66",
         "label" : "Active exoskeleton reduces erector spinae muscle activity during lifting",
         "user" : "inspo5",
         "description" : "",
         "date" : "2023-05-16 10:14:06",
         "changeDate" : "2024-09-13 10:28:08",
         "count" : 6,
         "pub-type": "article",
         "journal": "Frontiers in Bioengineering and Biotechnology",
         "year": "2023", 
         "url": "https://www.frontiersin.org/articles/10.3389/fbioe.2023.1150170/full", 
         
         "author": [ 
            "Tobias Walter","Norman Stutzig","Tobias Siebert"
         ],
         "authors": [
         	
            	{"first" : "Tobias",	"last" : "Walter"},
            	{"first" : "Norman",	"last" : "Stutzig"},
            	{"first" : "Tobias",	"last" : "Siebert"}
         ],
         
         "editor": [ 
            "Tobias Siebert"
         ],
         "editors": [
         	
            	{"first" : "Tobias",	"last" : "Siebert"}
         ],
         "volume": "11","abstract": "Neuromuscular control loops feature substantial communication delays, but mammals run robustly even in the most adverse conditions. In vivo experiments and computer simulation results suggest that muscles\u2019 preflex\u2014an immediate mechanical response to a perturbation\u2014could be the critical contributor. Muscle preflexes act within a few milliseconds, an order of magnitude faster than neural reflexes. Their short-lasting action makes mechanical preflexes hard to quantify in vivo. Muscle models, on the other hand, require further improvement of their prediction accuracy during the non-standard conditions of perturbed locomotion. Our study aims to quantify the mechanical work done by muscles during the preflex phase (preflex work) and test their mechanical force modulation. We performed in vitro experiments with biological muscle fibers under physiological boundary conditions, which we determined in computer simulations of perturbed hopping. Our findings show that muscles initially resist impacts with a stereotypical stiffness response\u2014identified as short-range stiffness\u2014regardless of the exact perturbation condition. We then observe a velocity adaptation to the force related to the amount of perturbation similar to a damping response. The main contributor to the preflex work modulation is not the change in force due to a change in fiber stretch velocity (fiber damping characteristics) but the change in magnitude of the stretch due to the leg dynamics in the perturbed conditions. Our results confirm previous findings that muscle stiffness is activity-dependent and show that also damping characteristics are activity-dependent. These results indicate that neural control could tune the preflex properties of muscles in expectation of ground conditions leading to previously inexplicable neuromuscular adaptation speeds.",
         "language" : "English",
         
         "doi" : "10.3389/fbioe.2023.1150170",
         
         "bibtexKey": "siebert2023active"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/23d9829e25edad137fc1fcf0782b243be/huebleriac",         
         "tags" : [
            "back","bonding","complex","glyoxal","metal","methylimidazol","mol","structure"
         ],
         
         "intraHash" : "3d9829e25edad137fc1fcf0782b243be",
         "interHash" : "0352d835e5457e9a457e59262260211d",
         "label" : "Modelling bis-(1-methylimidazol-2-yl)glyoxal, 'big', in complex ions [M(big)2]+n, M = Au, Pt, Cu, Re, Zn: A DFT study",
         "user" : "huebleriac",
         "description" : "",
         "date" : "2022-06-15 11:26:56",
         "changeDate" : "2022-06-15 09:26:56",
         "count" : 3,
         "pub-type": "article",
         "journal": "Molecular Physics",
         "year": "2006", 
         "url": "", 
         
         "author": [ 
            "O. Sarper","E. Bulak","W. Kaim","T. Varnali"
         ],
         "authors": [
         	
            	{"first" : "O.",	"last" : "Sarper"},
            	{"first" : "E.",	"last" : "Bulak"},
            	{"first" : "W.",	"last" : "Kaim"},
            	{"first" : "T.",	"last" : "Varnali"}
         ],
         "volume": "104","number": "5-7","pages": "833--838","abstract": "Chelating agents contg. imidazole groups are interesting to study since one or more histidine residues are frequently obsd. at the active sites of metalloproteins.  Coordination of the diimidazole ligand bis(1-methylimidazol-2-yl)glyoxal which is called 'big' with Re+, Zn+2, Cu+2, Pt+2 and Au+3 have been modeled making use of the DFT method (program package GAUSSIAN) in the complex ions [M(big)2]+n.  The structures for [Re(big)2]+, [Zn(big)2]+2, [Cu(big)2]+2, [Pt(big)2]+2 and [Au(big)2]+3 are reported in relation to some exptl. results found in the literature.  Ligand-metal interactions and esp. back bonding are discussed. [on SciFinder(R)]",
         "issn" : "0026-8976",
         
         "doi" : "10.1080/00268970500417432",
         
         "bibtexKey": "Sarper.2006"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/23d9829e25edad137fc1fcf0782b243be/b_schwederski",         
         "tags" : [
            "back","bonding","complex","glyoxal","metal","methylimidazol","mol","structure"
         ],
         
         "intraHash" : "3d9829e25edad137fc1fcf0782b243be",
         "interHash" : "0352d835e5457e9a457e59262260211d",
         "label" : "Modelling bis-(1-methylimidazol-2-yl)glyoxal, 'big', in complex ions [M(big)2]+n, M = Au, Pt, Cu, Re, Zn: A DFT study",
         "user" : "b_schwederski",
         "description" : "",
         "date" : "2019-07-15 13:41:23",
         "changeDate" : "2019-07-15 11:42:10",
         "count" : 3,
         "pub-type": "article",
         "journal": "Molecular Physics",
         "year": "2006", 
         "url": "", 
         
         "author": [ 
            "O. Sarper","E. Bulak","W. Kaim","T. Varnali"
         ],
         "authors": [
         	
            	{"first" : "O.",	"last" : "Sarper"},
            	{"first" : "E.",	"last" : "Bulak"},
            	{"first" : "W.",	"last" : "Kaim"},
            	{"first" : "T.",	"last" : "Varnali"}
         ],
         "volume": "104","number": "5-7","pages": "833--838","abstract": "Chelating agents contg. imidazole groups are interesting to study since one or more histidine residues are frequently obsd. at the active sites of metalloproteins.  Coordination of the diimidazole ligand bis(1-methylimidazol-2-yl)glyoxal which is called 'big' with Re+, Zn+2, Cu+2, Pt+2 and Au+3 have been modeled making use of the DFT method (program package GAUSSIAN) in the complex ions [M(big)2]+n.  The structures for [Re(big)2]+, [Zn(big)2]+2, [Cu(big)2]+2, [Pt(big)2]+2 and [Au(big)2]+3 are reported in relation to some exptl. results found in the literature.  Ligand-metal interactions and esp. back bonding are discussed. [on SciFinder(R)]",
         "issn" : "0026-8976",
         
         "doi" : "10.1080/00268970500417432",
         
         "bibtexKey": "Sarper.2006"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2a4a5c9728db0683dda1b2b3318fa0c9d/amerwafai",         
         "tags" : [
            "Back","CUDA","GPGPU","GPU","HLRS","Network","Neural","Parallelisation","Propagation","SCOPE","myown"
         ],
         
         "intraHash" : "a4a5c9728db0683dda1b2b3318fa0c9d",
         "interHash" : "0f4f1b3c77004231f7c17f1c80480dfe",
         "label" : "Optimization of industrial Neural Network simulators for GPGPUs",
         "user" : "amerwafai",
         "description" : "",
         "date" : "2016-01-29 09:34:55",
         "changeDate" : "2016-01-29 08:42:48",
         "count" : 1,
         "pub-type": "inproceedings",
         "booktitle": "New Horizons in Web Based Learning","series": "LNCS","publisher":"Springer Berlin Heidelberg",
         "year": "2011", 
         "url": "", 
         
         "author": [ 
            "Mhd. Amer Wafai","Zaheer Ahmed","Rainer Keller","Sven Holzmann","Björn Sander","Michael Resch"
         ],
         "authors": [
         	
            	{"first" : "Mhd. Amer",	"last" : "Wafai"},
            	{"first" : "Zaheer",	"last" : "Ahmed"},
            	{"first" : "Rainer",	"last" : "Keller"},
            	{"first" : "Sven",	"last" : "Holzmann"},
            	{"first" : "Björn",	"last" : "Sander"},
            	{"first" : "Michael",	"last" : "Resch"}
         ],
         
         "editor": [ 
            "Dickson K. W. Chiu","Minhong Wang","Elvira Popescu","Qing Li","Rynson Lau"
         ],
         "editors": [
         	
            	{"first" : "Dickson K. W.",	"last" : "Chiu"},
            	{"first" : "Minhong",	"last" : "Wang"},
            	{"first" : "Elvira",	"last" : "Popescu"},
            	{"first" : "Qing",	"last" : "Li"},
            	{"first" : "Rynson",	"last" : "Lau"}
         ],
         "volume": "7697","pages": "21-29","abstract": "This paper introduces the porting of an industrial neural network simulator onto GPUs used in a tool-chain to sort massive amounts of E-mails and other textual data. Compared to other previous work, all steps are being executed on the GPU, achieving overall up to 33× speedup without using any cuBLAS functionality. All the time-consuming routines have been ported onto the GPU, i.e. the training-, the simulation- and the verification-phases, the training being the most time-consuming. It is planned to include these GPU-kernels into the product for special costumer's demands.",
         "date-added" : "2015-08-18 14:03:50 +0000",
         
         "date-modified" : "2015-08-18 14:20:22 +0000",
         
         "bibtexKey": "wafai12"

      }
	  
   ]
}
